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| Saturday, 03 June | Sunday, 04 June | Monday, 05 June | Tuesday, 06 June | Wednesday, 07 June | Thursday, 08 June |
| 8:00 | Epileptologist Perspective on the Role of MRI in Epilepsy Surgery |
| John Stern | |
Keywords: Neuro: Brain Epilepsy is a common and potentially disabling neurologic disorder due to neuronal dysfunction. Fortunately, surgical treatment can provide seizure freedom when anti-seizure medications fail, but identifying appropriate patients and optimizing surgical treatments requires localizing epileptic abnormality that often is varying and may occur without evident structural abnormality. However, MRI has considerable diagnostic and prognostic value for epilepsy surgery, as it may provide a potential structural correlate to a plausible epileptic localization. Improving the evaluation of epilepsy will require better integration of high resolution structural imaging with high specificity functional imaging. With this, many additional patients will receive more effective treatments. |
| 8:25 | Finding Focal Cortical Dysplasia Using High-Resolution MRI |
| Simon Warfield |
| 8:50 | Finding Focal Cortical Dysplasia Using Diffusion MRI |
| David Carmichael | |
Keywords: Neuro: Brain, Contrast mechanisms: Diffusion Focal Cortical Dysplasia is characterised by abnormalities in cortical lamination, myelination, cell types and sizes in addition to white matter abnormalities. These tissue characteristics of interest lend themselves to investigation with diffusion MRI, that attempts to access differences in water mobility within the tissue environment. Initial studies used FA and MD and showed sensitivity to focal abnormalities but were limited by a lack of specificity. More recently, the availability of multi-shell diffusion data and more advanced models have led to specificity improvements. Ongoing technical developments and validation can make advanced diffusion MRI an important tool for FCD identification and characterisation. |
| 9:15 | MRI Fingerprinting for Focal Cortical Dysplasia |
| Irene Wang | |
Keywords: Image acquisition: MR Fingerprinting Magnetic resonance fingerprinting (MRF) is a novel quantitative MRI technique that enables the acquisition of multiparametric tissue property maps with high efficiency. In this talk, we will review principles of MRF and its advantages for imaging focal cortical dysplasia (FCD), in the context of epilepsy presurgical evaluation. We will discuss applications of MRF on FCD detection and its additional value to conventional MRI approaches. We will also discuss the role of MRF to provide in vivo subtype characterization of FCD. The talk will conclude with future direction on using the flexible framework of MRF for better depiction of FCD. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Epilepsy Surgery Planning Using Functional MRI |
| Christopher Benjamin | |
Keywords: Neuro: Brain, Neuro: Brain function In this educational session an overview of the evidence supporting clinical fMRI's use as well as the knowledge and skills it requires will be provided. |
| 10:30 | Diffusion MRI & Tractography for Epilepsy Surgery |
| Chantal Tax | |
Keywords: Contrast mechanisms: Diffusion, Neuro: White matter, Neuro: Brain connectivity Diffusion MRI tractography is a non-invasive neuroimaging technique used to study the brain's white matter connections. In epilepsy, it has for example been used to identify and visualize abnormal white matter tracts and to plan surgical interventions. This talk will highlight methodological aspects of the technique, applications, and potential pitfalls related to its reliability and validity for use in clinical practice. |
| 10:55 | Neuromodulation to Treat Epilepsy |
| Axel Thielscher | |
Keywords: Neuro: Brain, Neuro: Brain Plasticity A number of different brain stimulation methods are currently tested as adjunct therapies for drug-refractory epilepsy. This talk will start by giving an overview of the relevant invasive and noninvasive electric stimulation approaches. It will discuss the mechanisms of action by which the stimulation approaches are thought to alter cortical activity, and briefly summarize the data on their clinical efficacy and safety. Finally, current methodological advances to personalize the interventions based on structural and functional MRI data as well as calculations of the induced electric field distributions will be highlighted. |
| 11:20 | Advances in Transcranial Magnetic Stimulation |
| Mark Eldaief |
| 8:00 | High-Risk Pancreas Clinic: What’s Behind the Imaging? |
| Paul James |
| 8:25 | Imaging the At-Risk Pancreas |
| Ihab Kamel | |
Keywords: Body: Digestive - Discuss the rationale behind pancreatic cancer screening/surveillance in at risk patients. - Summarize what we know to date regarding the role of clinical imaging at baseline and subsequent follow ups. - Emphasize the value of novel high-resolution imaging techniques and careful image interpretation in early detection of pancreatic cancer. - Identify challenges and gaps in knowledge related to pancreatic cancer screening/surveillance. - List promising future approaches including precision medicine using artificial intelligence to incorporate family history, genetics, environment, clinical imaging, and biomarkers. |
| 8:50 | Technical Advances in Hepatobiliary MR Imaging |
| Mustafa Bashir | |
Keywords: Body: Liver This talk will describe technological solutions to enable high-quality hepatobiliary MRI. |
| 9:15 | Role of Hepatic MR in the Management of Oligometastatic Disease |
| SS Baijal |
| 9:40 | Break & Meet the Teachers |
| 10:05 | NASH: Clinical Relevance & Perspective |
| Keyur Patel | |
Keywords: Cross-organ: Metabolic disease, Body: Liver The global prevalence of non-alcoholic fatty liver disease (NAFLD) is estimated at 25%. Non-alcoholic steatohepatitis (NASH) affects ~20% of NAFLD patients leading to progressive liver fibrosis and cirrhosis. The incidence of liver decompensation, liver cancer, and death related to NASH cirrhosis is expected to increase 2-3 fold over the next decade. Liver biopsy is the reference for diagnosing NASH and fibrosis, but non-invasive serum tests and imaging tools are increasingly available for the diagnosis of advanced fibrosis. Current medical management for NASH includes lifestyle intervention and treatment of metabolic disease, but there are currently no FDA-approved compounds for NASH. |
| 10:30 | Update on Quantitative Biomarkers for Liver Fibrosis |
| Shintaro Ichikawa | |
Keywords: Body: Liver, Contrast mechanisms: Diffusion, Contrast mechanisms: Elastography Cirrhosis is the most important risk factor for hepatocellular carcinoma; therefore, it is important to accurately assess advanced fibrosis. Liver biopsy remains the gold standard for diagnostic evaluation of hepatic fibrosis. However, its invasive nature and high cost make it difficult to perform repeatedly. MRI is a noninvasive imaging tool that can evaluate hepatic fibrosis. There are several methods to assess hepatic fibrosis on MRI. This talk will provide an overview of diagnostic methods for hepatic fibrosis by MRI including uptake of gadoxetic acid, T1 mapping, diffusion-weighted imaging including intravoxel incoherent motion, T1rho, radiomics/ artificial intelligence, and MR elastography. |
| 10:55 | Liver Fat & Iron Quantification: How I Do It |
| Manuela Franca | |
Keywords: Body: Liver, Image acquisition: Quantification MRI has been established as a powerful imaging tool to evaluate diffuse liver diseases. Liver MRI offers a comprehensive assessment of the different tissue components, providing quantitative imaging biomarkers for fat and iron quantification. Multi-echo chemical-shift encoded (MECSE) gradient echo MR sequences are now widely used for simultaneous quantification of hepatic steatosis and siderosis.In this session, the use of MECSE sequences for liver fat & iron quantification will be explained, in different clinical scenarios of diffuse liver diseases, giving some tips and tricks for the technical implementation, analysis, interpretation and clinical use of liver fat and iron MR quantification. |
| 11:20 | Abbreviated MRI for HCC Screening: Extracellular vs. Hepatobiliary Agents |
| Bachir Taouli | |
Keywords: Body: Liver In this presentation, we will discuss current guidelines for HCC screening/surveillance, and limitations of US screening, and the opportunities based on abbreviated MRI for this indication. Advantages and limitations of extracellular vs hepatobiliary gadolinium based contrast agents will be discussed. |
| 8:00 | Perfusion & Permeability: Applications |
| Petra van Houdt | |
Keywords: Contrast mechanisms: Perfusion, Cross-organ: Cancer Contrast-based perfusion MRI is used to assess tissue perfusion and permeability. Dynamic susceptibility-contrast (DSC-) MRI is mainly applied in the brain, whereas dynamic contrast-enhanced (DCE-) MRI has applications throughout the body, mostly related to oncology . For example, in cervical cancer it has been shown that DCE-MRI can be used to identify patients with hypoxic tumors, which is related to tumor aggression and resistance toradiation treatment. Clinical adoption of DSC- and DCE-MRI is currently hindered by the lack of reproducibility, non-standardized terminology, and requirements of expert imaging scientists. |
| 8:30 | Arterial Spin Labelling (ASL): Methods |
| Laura Parkes | |
Keywords: Contrast mechanisms: Perfusion, Neuro: Cerebrovascular, Image acquisition: Quantification I will describe the acquisition and analysis of ASL data in order to produce accurate images of perfusion or blood flow, with a focus on the brain. I will describe recent advances in acquisition to improve SNR and pragmatic approaches to kinetic modelling of the signal for accurate and precise quantification. I will discuss the benefits of multi-time point measurements which allow correction for and estimation of arterial transit time. |
| 9:00 | Dynamic Susceptibility Contrast (DSC) Methodology |
| Ona Wu | |
Keywords: Neuro: Cerebrovascular, Contrast mechanisms: Perfusion, Image acquisition: Image processing Dynamic susceptibility contrast-weighted MRI (DSC-MRI) is highly sensitive in detecting disturbed hemodynamics. However, many techniques exist for calculating perfusion status, and there are multiple parameters that can be measured. We will discuss technical considerations and potential pitfalls in calculating and interpreting DSC-MRI-derived maps. |
| 9:30 | Dynamic Susceptibility Contrast (DSC) Applications |
| Seung Hong Choi | |
Keywords: Neuro: Brain, Neuro: Cerebrovascular, Contrast mechanisms: Perfusion Dynamic Susceptibility Contrast (DSC) is a magnetic resonance imaging (MRI) technique that measures changes in magnetic susceptibility caused by the passage of a contrast agent through the cerebral vasculature to assess brain perfusion. |
| 10:00 | Break & Meet the Teachers |
| 10:30 | Comparison of ASL & DSC Perfusion |
| Greg Zaharchuk |
| 11:00 | Quantitative Perfusion Imaging in the Heart: Methods |
| Ganesh Adluru | |
Keywords: Cardiovascular: Myocardium, Image acquisition: Quantification Quantitative myocardial perfusion imaging is increasingly being used clinically as a valuable tool for improved detection of perfusion defects arising from coronary artery disease as well as microvascular disease. A number of frameworks exist for performing quantitative perfusion imaging with combinations of different (i) data acquisition and reconstruction schemes, (ii) post-processing methods and (iii) modeling approaches. The presentation will give an overview of methods used in each of the three major steps. |
| 11:30 | Quantitative Perfusion Imaging in the Heart: Applications |
| Michael Salerno |
| 8:00 | The General Anatomy of the Brain: A Walnut, but Different... |
| Manabu Kinoshita | |
Keywords: Neuro: Brain, Neuro: White matter, Neuro: Grey matter During this education lecture, I will be discussing the 3D surface anatomy of the brain from a neurosurgeon perspective. The aim of this course is to aid neuroscientists / neuroradiologists to understand the three-dimensional anatomy of the brain. |
| 8:25 | Highways of the Brain |
| Takashi Inoue | |
Keywords: Neuro: Brain, Neuro: White matter What do neurosurgeons want from MR imaging during or before surgery? Imaging is needed to minimize postoperative complications and to improve postoperative neurological symptoms. A 3DAC image is a composite image from a diffusion-weighted image without diffusion tensor analysis. It may be more useful for visualizing the Highways of Brain. We were able to predict motor function outcome using FA values in cases of cerebral hemorrhage. We present a method that utilizes changes over time in the FA values. Objective images that are independent of parameters are desirable. Images that are useful in predicting outcome are needed. |
| 8:50 | The Active Brain: Functional Regions |
| Tarek Hijaz | |
Keywords: Neuro: Brain function, Neuro: Brain The aim of my lecture is to provide physicists and other non-radiologists with a brief introduction to some of the salient functional anatomy of the brain as elucidated by fMRI. The emphasis will be on the primary motor and language areas. |
| 9:15 | Highway in Flames: Case-Based Teaching for Physicists |
| Veronica Popescu | |
Keywords: Neuro: Brain, Neuro: Spinal cord Case-based learning is the best way to learn about the brain on fire. A neurologist specialized in Multiple Sclerosis will provide an overview of the symptoms and location of the lesions causing them, along the highways in flames. Among others speech impairments, diminished mobility, problems with the sense of touch will be discussed. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Digging to the Brain's Core |
| Dylan Henssen | |
Keywords: Neuro: Brain, Neuro: Grey matter This lecture will offer a comprehensive overview of the ventricular system and subcortical structures in the human brain. Participants will gain a deeper understanding of the complex anatomy of these structures and their interindividual relations. |
| 10:30 | Transfer Stations of the Mind |
| María García-Gomar | |
Keywords: Neuro: Brain connectivity, Neuro: Brain, Neuro: Brain function Understanding how different structures of our brain are interconnected allows us to better understand their function. Here we explore two main structures: the brainstem and cerebellum. The brainstem contains respiratory and cardiovascular control centers. Despite its fundamental role in survival, the brainstem has been studied less than other areas, in part due to several challenges in its imaging. Nonetheless, recent techniques are now allowing us a better understanding of its structure and connectivity. The cerebellum is known to have an important role in motor control and, more recently, its role in nonmotor cognitive and affective functions is being increasingly recognized. |
| 10:55 | Taming the Involuntary Motion & Behaviour: Functional Anatomy |
| Ling Ling Chan |
| 11:20 | The Inflamed Core: Case-Based Teaching for Physicists |
| Lydia Chougar | |
Keywords: Neuro: Brain During this session, we will go through clinical cases to explore the anatomical alterationsoccurring in subcortical brain regions in various neurological diseases using different MRIcontrasts. |
| 8:00 | Basic Principles of Fast MRI with AI-Based Acquisition & Reconstruction |
| Chen Qin | |
Keywords: Image acquisition: Machine learning, Image acquisition: Reconstruction, Musculoskeletal: Knee Artificial intelligence (AI) has been advancing rapidly and has shown great potential in accelerating MR imaging. This talk will aim to explain the basic principles of fast MRI with AI-based acquisition and reconstruction for broad audience. We will review the basic deep learning (DL) components that have been widely used in the field and provide an overview of the recent advances on DL-based MRI reconstruction from accelerated acquisitions. Based on that, we will introduce state-of-the-art DL reconstruction approaches with a particular focus on musculoskeletal imaging. We will also discuss about the current limitations, challenges and opportunities for AI-based fast MRI. |
| 8:30 | Basic Principles of AI-Based MR Image Analysis & Processing |
| Valentina Pedoia |
| 9:00 | AI in Fast MSK MRI: Clinical Applications & Evaluation |
| Joshua Trzasko | |
Keywords: Image acquisition: Reconstruction, Image acquisition: Machine learning This talk will briefly review the technical mechanics of artificial intelligence (AI) and discuss – focusing on musculoskeletal (MSK) imaging – both how AI technically enables faster MRI exams, including how these tools can be integrated into routine clinical practice. This will include coverage of incorporation of AI tools into the end-to-end Radiology digital framework, review of commercial AI reconstruction offerings, and discussion about practical considerations for incorporation tools into routine clinical practice. |
| 9:30 | AI in MSK Diagnosis, Grading, Quantification & Prediction |
| Cem Deniz | |
Keywords: Musculoskeletal: Joints, Musculoskeletal: Knee, Musculoskeletal: Skeletal The use of artificial intelligence (AI) has revolutionized areas of image recognition, speech recognition, and natural language processing. AI is transforming the world of medicine by helping doctors to improve detection, diagnosis, treatment, and management of a disease. In this lecture, we will focus on the AI approaches that are practical and currently used in diagnosis, grading, quantification and prediction of MSK disorders. The audience will learn various AI methods emerging in MR imaging for MSK disorders. At the end, the audience will be able to differentiate various AI approaches and choose the most appropriate ones for specific research problems. |
| 10:00 | Break & Meet the Teachers |
| 10:15 | AI in Quantitative MSK MRI Applications |
| Mingrui Yang | |
Keywords: Musculoskeletal: Joints This talk will provide an overview of the recent development of artificial intelligence (AI), and its application in quantitative musculoskeletal (MSK) MRI, including T1rho and T2 relaxometry quantification. The speaker will discuss the current state of research, as well as the challenges and opportunities in the field. Attendees will gain an understanding of the benefits of AI-based quantitative MSK MRI applications, such as improved accuracy and efficiency in the diagnosis and prognosis of MSK diseases. Overall, this talk aims to provide valuable insights into the use of AI in quantitative MSK MRI applications and its potential impact on the field. |
| 10:45 | Impact of AI on MSK MRI Service Delivery |
| Jad Husseini | |
Keywords: Image acquisition: Machine learning, Musculoskeletal: Joints Early AI-based MR image reconstruction techniques have been applied to spin-echo based 2D MR sequences. Musculoskeletal MR examinations, largely comprised of these types of pulse sequences, have benefited greatly from these advances with significant decreases in image acquisition time. In order to capitalize on this to increase patient throughput and patient access, non AI-based strategies such as MR suite layout improvement and scheduling optimization could be employed. AI applications predicting the likelihood that a patient will miss an appointment can allow for targeted notification of patients prior to appointments or overbooking to ensure maximal utilization of available slots. |
| 11:15 | Challenges & Future Directions of AI methods in musculoskeletal MRI |
| Florian Knoll | |
Keywords: Musculoskeletal: Joints, Image acquisition: Machine learning, Image acquisition: Artefacts This talk will highlight potential issues during the translation of Artificial Intelligence (AI) methods from basic science to clinical use. Using selected examples, we will discuss these challenges and how they can be addressed. |
| 11:45 | Panel Discussion |
| 8:00 | Clinical Needs & Challenges for Neuro & Body Imaging |
| Won-Jin Moon | |
Keywords: Image acquisition: Quantification, Image acquisition: Sequences, Image acquisition: Multiparametric This lecture highlights the clinical needs and challenges of neuro and body MRI, with a focus on Alzheimer's, Parkinson's, epilepsy, cancer, and liver disease. Although MR imaging is a powerful tool, standard techniques may not provide the necessary information for accurate diagnosis and treatment monitoring. Advanced MRI and quantitative approaches offer promising results but have yet to fully penetrate clinical practice due to their limitations. The lecture emphasizes the need for interdisciplinary collaboration to advance the field and meet clinical demands. The potential of emerging technologies such as AI-driven image reconstruction and quantitative MRI is discussed as future directions. |
| 8:30 | Diffusion |
| Daniel Ennis | |
Keywords: Contrast mechanisms: Diffusion Diffusion weighted MRI (DWI) and diffusion-tensor MRI (DTI) are MRI techniques that enable measuring the self-diffusion of water molecules in soft tissues. DWI and DTI methods enable quantitative estimates of the apparent diffusion coefficient (ADC) or mean diffusivity (MD), fractional anisotropy (FA), fastest direction of diffusion (eigenvectors and tracts), and more. DWI and DTI measures are uniquely sensitive to tissue orientation and organization and provide insight to tissue changes that accord with edema, anisotropy, cellularity, and more. DWI and DTI are powerful research and diagnostic clinical tools with applications in the brain, body (abdominal), chest, muscles, prostate, breasts, and beyond. |
| 9:00 | Metabolites by MRS/MRSI |
| Esin Ozturk-Isik | |
Keywords: Contrast mechanisms: Spectroscopy Magnetic resonance spectroscopic imaging (MRS/I) provides metabolic markers that could be employed for improved patient management. This talk will summarize the challenges of MRS/I, recent advances for a more standardized approach, machine learning studies for improved MRS/I, and the importance of quantitative metabolic markers of the brain and other body parts in the clinics. |
| 9:30 | Break & Meet the Teachers |
| 10:00 | Electromagnetic Tissue Properties |
| Sina Straub | |
Keywords: Contrast mechanisms: Electromagnetic tissue properties It will be explained on which tissue properties magnetic susceptibility, electric permittivity and electric conductivity depend, what data needs to be acquired to map these properties, influence these properties depend on field strength. Learn that:
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| 10:30 | Mechanical Tissue Properties |
| Meng Yin | |
Keywords: Contrast mechanisms: Elastography Many disease processes cause marked changes in tissue mechanical properties. Mechanical properties are therefore promising biomarkers for monitoring and characterizing various pathophysiologic conditions of soft tissues. MR-based elastography is a phase-contrast technique for estimating multiple mechanical properties and boundary conditions by imaging propagating shear waves generated from a standardized extrinsic vibrating source. In practice, the innovative stiffness biomarker is beginning to see widespread clinical use for assessing hepatic fibrosis as an alternative to biopsy. There is significant potential to further develop elastography techniques to implement three-dimensional multiparametric methods that have promise for distinguishing varying pathophysiologic states of many other organs. |
| 11:00 | Promoting Standardization and Dissemination of Quantitative MRI Technology |
| Richard Ehman | |
Keywords: Image acquisition: Quantification, Transferable skills: Commercialisation, Transferable skills: Intellectual Property This presentation focuses on strategies for promoting standardization and dissemination of quantitative MRI technology, spanning the pathway from invention to eventual adoption in patient care. The presentation draws on lessons that were learned in the development and dissemination of MR elastography, which is now a standard of clinical practice, deployed on thousands of MRI systems around the world. This presentation reviews strategies for addressing hurdles and opportunities, technical and regulatory challenges, and approaches for obtaining clinical buy-in for new quantitative MRI-based techniques. |
| 8:00 | Spectroscopy for Probing Metabolism |
| Jamie Near |
| 8:25 | Advances in Spectroscopic Imaging |
| Assaf Tal | |
Keywords: Image acquisition: Sequences, Contrast mechanisms: Spectroscopic Imaging (MRSI) In this course I will provide an overview of magnetic resonance spectroscopic imaging (MRSI), its goals and the techniques that underlie it. The talk will begin with a brief historical perspective, discussing classical approaches such as chemical shift imaging (CSI), and then proceed to cover approaches to acceleration, including echo-planar based methods (EPSI), non-cartesian trajectories, undersampling, ultrashort TR acquisitions and model based reconstructions (SPICE). This course should provide participants with an introductory understanding of the current state-of-the-art in spectroscopic imaging, its pitfalls and possibilities. |
| 8:50 | Multinuclear Metabolic Imaging |
| Pavithra Viswanath |
| 9:15 | Hyperpolarized Metabolic Imaging |
| Jeremy Gordon | |
Keywords: Contrast mechanisms: Hyperpolarization, Contrast mechanisms: Spectroscopic Imaging (MRSI) Hyperpolarized metabolic imaging has emerged as a novel non-invasive method to probe metabolism in near real-time. Due to the transient lifetime of the hyperpolarized magnetization and the need to resolve multiple metabolites, these contrast agents require special considerations when developing probes, designing pulse sequences, or considering potential pre-clinical and clinical applications. This presentation will cover the basics of hyperpolarized metabolic imaging, with a specific focus on applications in the clinic using 13C probes. Topics will include the unique properties of hyperpolarized contrast agents, imaging strategies to rapidly and robustly acquire spectroscopic data, and human applications of hyperpolarized metabolic imaging. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | CEST: Physics & Technology |
| Anagha Deshmane | |
Keywords: Contrast mechanisms: CEST & MT Chemical exchange saturation transfer or CEST is a family of MR technologies which can be used to interrogate protons bound in exogenous contrast agents or endogenous metabolites and macromolecules. This lecture introduces (1) the origin and mechanisms of CEST contrast, (2) models of CEST contrast using the Bloch-McConnell equations, (3) endogenous and exogenous targets available for producing CEST contrast, and (4) pulse sequences and post processing methods for acquiring and analyzing images with CEST contrast. The examples used in this lecture will focus on endogenous CEST contrast and clinical imaging techniques. |
| 10:30 | CEST: Journey to the Clinic |
| Jianpan Huang | |
Keywords: Contrast mechanisms: CEST & MT CEST MRI has been increasingly explored and applied in multiple preclinical and clinical imaging centers worldwide. This lecture will introduce some recent progress and consensus on the clinical application of CEST MRI, especially the considerations regarding saturation and acquisition protocols to achieve high-quality and reproducible CEST measurements at multiple sites. Furthermore, there will be some discussions on the clinical trials using endogenous or exogenous CEST contrasts to provide molecular information for disease diagnosis and treatment monitoring. Specifically, a variety of CEST applications in imaging molecular events in brain tumors, neurological disorders and other parts of human body will be covered. |
| 10:55 | Agents for Metabolic Imaging |
| Petr Bednarík | |
Keywords: Neuro: Nervous system The talk will focus on agents utilized for magnetic resonance spectroscopy and magnetic resonance imaging in advanced brain metabolic studies. 17O-MRS provides rate of oxygen inside mitochondria, whereas 19F-MRS enables measurement of cytosolic glucose metabolism. 13C-MRS is the only established noninvasive method to quantify both glutamatergic neurotransmission and cell-specific energetic pathways based on the type of 13C-enriched tracer. MRS utilizing deuterium(2H)-enriched compounds is a novel approach that promises to overcome 13C-MRS providing quantitative metabolic measures with high spatial resolution and affordable price. Overall, these MR methods demonstrate clinical translational potential to better understand brain disorders and guide diagnosis and treatment. |
| 11:20 | PET-MR: Added Value for the Clinic in Oncologic Imaging |
| Hersh Chandarana | |
Keywords: Body: Body, Cross-organ: Cancer This talk will review synergy between PET and MRI in oncologic imaging, and discuss different options for acquiring this data with focus on integrated PET-MRI scanner. We will briefly discuss protocol optimization and some of the benefits and challenges of PET-MR when compared to PET-CT. Subsequently, we will review current literature and highlight role of PET-MR imaging in evaluation of number of abdominopelvic malignancies such as lymphoma, colorectal malignancy, GYN malignancies, and prostate cancer. We will highlight some novel and potential applications for PET-MRI in oncology. |
| 8:00 | The History & Evolution of Modern MRI |
| Paul Bottomley | |
Keywords: Physics & Engineering: Physics, Physics & Engineering: Pulse design, Physics & Engineering: Hardware While the origins of MRI date from the origins of NMR in 1948, nothing much happened until Lauterbur’s 1973 paper in Nature. Even so, this was more of an idea than a reduced-to-practice methodology. It took another decade to work-out spatial localization, add the pulse FT method, and properly configure selective excitation pulses and phase-encoding gradients. Basically, a whole tool-set for manipulating NMR signals in space and time was developed to engineer the desired image response. But MRI still would not have happened, if not for the unsung revolution in magnet, and gradient and RF coil technologies. |
| 8:25 | Nuclei & Magnetization: From Classical Physics to Quantum Mechanics |
| David Waddington | |
Keywords: Physics & Engineering: Physics MRI is often described as the most complicated medical imaging modality. Largely, this complexity arises from the quantum mechanical principles that underpin the interactions between nuclear spins and their environment. In this course, we will examine the classical response of single magnetic moments and spins in the presence of a magnetic field. We will then show how the Zeeman effect gives rise to quantized energy differences between nuclei in different spin angular momentum states and explain why classical precession physics suffices as a description for proton spin motion. |
| 8:50 | Relaxation & the Bloch Equations |
| Matthias Weigel | |
Keywords: Physics & Engineering: Nuclear Magnetic Resonance, Physics & Engineering: Physics The Bloch equations depict the evolution of macroscopic magnetization in Nuclear Magnetic Resonance (NMR). They are phenomenological equations based on classical physics and include relaxation effects. Extensions of the Bloch equations allow adding further physical effects such as diffusion or exchange. This lecture will introduce the Bloch equations and discuss their basis and limitations. The implications of excitation and a rotating coordinate system are analyzed. Relaxation will be explained as a 'necessity of nature' and its importance for Magnetic Resonance Imaging (MRI) emphasized. |
| 9:15 | Pulse Sequences & How to Optimize Them |
| Mariya Doneva | |
Keywords: Image acquisition: Sequences In this lecture, we will delve into the fascinating world of MR pulse sequences and how to optimize them, either for speed or to achieve a desired contrast weighting. We will introduce the basic concept of an MR pulse sequence, what elements it consists of, and which parameters determine a pulse sequence. The basic pulse sequences: gradient echo and spin echo will be introduced, as well as more efficient sequences such as steady state approaches or fast spin echo. More complex sequences that create a complex transient state signal evolution like MR Fingerprinting will also be briefly discussed. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | The Many Sources of MR Contrast |
| Matthew Goette | |
Keywords: Contrast mechanisms: Electromagnetic tissue properties, Contrast mechanisms: Relaxometry, Image acquisition: Sequences This educational talk will review the principles underpinning several sources of contrast in MR images. Learning objectives are as follows:
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| 10:30 | Designing RF Pulses: From Square to Adiabatic to Multi-Slice |
| Rudolf Stollberger | |
Keywords: Physics & Engineering: Pulse design This section of the course covers the concepts involved in understanding the theory and implementation of radio frequency (RF) pulses. The presentation covers the different basic types of RF pulses, explains essential definitions for RF pulses, used simplifications and their limitations, parameters to check implementation properties, and several strategies to find RF pulses that meet different requirements as well as possible. |
| 10:55 | How to Efficiently Travel Through k-Space |
| Shahrzad Moinian | |
Keywords: Physics & Engineering: Physics, Image acquisition: Reconstruction MRI scanners measure and store MRI signals in the form of a 2D/3D data matrix, called k-space. K-space contains spatial frequency information which is acquired through phase and frequency encoding. The k-space spatial frequency information can be used to reconstruct MR images using inverse Fourier transform. This lecture will introduce the basic concepts of k-space in MR image acquisition and reconstruction. It will give an overview of different k-space trajectories and the effect of MRI acquisition parameters on k-space data. Finally, we will learn about k-space under-sampling and how it can be used in fast MR imaging. |
| 11:20 | Panel Discussion |
| 8:00 | The Magnet: Cryogen-filled to Cryogen-free |
| Thomas Foo | |
Keywords: Physics & Engineering: Hardware, Physics & Engineering: High-Field MRI, Physics & Engineering: Physics Outline of a presentation describing the differences in magnet design for a conventional cryogen-filled magnet and that of a cryogen-free magnet. |
| 8:25 | Gradient Coils |
| Sebastian Littin | |
Keywords: Physics & Engineering: Hardware The spatial encoding system, usually termed gradients, is crucial for magnetic resonance imaging (MRI). Gradient coils for MRI are usually designed using target field methods. The stream function method allows for approximating surface current densities by discrete wires. One of the main limiting factors of gradient coils in MRI is given by physiological constraints, namely peripheral nerve stimulation (PNS). As PNS properties of smaller coils are beneficial, head insert coils are experiencing a revival. Further localized, application-specific coils might be used to overcome today’s limitations. Different approaches have been used to implement complex wire geometries into realizable coil designs. |
| 8:50 | B0 Shimming: Coils and Methods |
| Jason Stockmann | |
Keywords: Physics & Engineering: Hardware, Physics & Engineering: Physics We describe how tissue susceptibility interfaces disturb the main B0 magnetic field inside the scanner bore, causing a wide variety of artifacts in MR acquisitions. We review field mapping approaches for measuring these ΔB0 field deviations, along with factors influencing field map accuracy and precision. Hardware for nulling the unwanted ΔB0 fields is then covered, including both passive shim inserts and active shim coils. We show how to simulate B0 shim performance for specific shim coils as well as for the "ultimate shim" using optimized coils. Last, we highlight open-source resources including shim optimization software and published coil wire patterns. |
| 9:15 | RF Frontend |
| Boris Keil |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Transmit Coils |
| Elmar Laistler | |
Keywords: Physics & Engineering: Hardware This lecture covers different aspects of transmit coils, ranging from coil types, associated circuitry and components to safety aspects. |
| 10:30 | Receive Coils & Combined Shim-RF Arrays |
| Hui Han | |
Keywords: Physics & Engineering: Hardware, Physics & Engineering: High-Field MRI, Body: Body In this lecture, we'll explore the use of receive coils, including newly developed combined shim-RF arrays (1-7), for high-field imaging. Traditional volume RF coils are replaced by phased array coils, which use local RF surface coils on the human body for improved sensitivity and faster imaging. But B0 field inhomogeneity remains a major challenge for many high-field MRI applications. We'll discuss the concept of combined shim-RF arrays, which integrate a shim array into a receive coil to address this issue and improve image quality. |
| 10:55 | Characterization of Coils on the Bench |
| Karthik Lakshmanan | |
Keywords: Physics & Engineering: Hardware During RF coil design and construction process characterization (bench testing) is a necessary step to ensure coil functionality and optimal performance. This lecture will explore and elaborate on critical functional and performance metrics of RF Coils. |
| 11:20 | Break & Meet the Teachers |
| 11:30 | The clinical benefit of high-resolution 3D proton density at 3T in the discrimination between intracranial aneurysm and normal variants |
| Angela Borella | |
At 3T, a three-dimensional proton density (3D PD) weighted sequence plays a supplementary role to the time-of-flight MR angiography (TOF MRA) to improve diagnosis and significantly decreases indeterminate findings for aneurysm. This leads to better patient care and a measurable decrease in the likelihood for the patient to undergo surveillance or more invasive tests that use ionising radiation and intravenous contrast media like Computed Tomography Angiography (CTA) and Digital Subtraction Angiography (DSA). The anxiety and stress that patients experience due to inconclusive findings and ongoing surveillance has been significantly alleviated since the inclusion of the 3D PD to the protocol. |
| 11:40 | Comparison of compressed sensing accelerated MR elastography to standard breath-hold gradient recalled echo MRE for estimating liver stiffness |
| Scott Hipko | |
The standard MRE(sMRE) uses four breath-hold, each of 14–22 s, to stage liver fibrosis. The long breath-hold time challenges most children and adult patients with limited breath-hold capability. The compressed sensing (CS) technique was used to accelerate the MRE (csMRE) acquisition to shorten the breath-hold duration (~10s). The preliminary results showed that the LS estimated from csMRE strongly correlated to sMRE and showed strong agreement in the normal to mild liver fibrosis stage. However, it underestimates the liver stiffness in the elevated liver stiffness. The confident available area for LS estimation in csMRE increased 38% compared to sMRE. |
| 11:50 | Prognostic role of right ventricular late gadolinium enhancement in patients with Tetralogy of Fallot undergoing pulmonary valve replacement |
| Moreno Zanardo | |
Our purpose was to evaluate the correlations between right ventricular (RV) late gadolinium enhancement (LGE) at cardiac magnetic resonance (CMR) in patients with Tetralogy of Fallot (ToF) scheduled for pulmonary valve replacement (PVR) and post-PVR functional data. After assessing a semiquantitative LGE scoring for the RV, we observed a correlation between such score and RV post-PVR outcomes appraised at CMR. The assessment of RV LGE before PVR may provide prognostic insights on post-PVR functional outcomes, potentially facilitating a patient-tailored treatment pathway. |
| 13:00 | Spin Gymnastics |
| Walter Kucharczyk | |
Keywords: Physics & Engineering: Physics, Physics & Engineering: Nuclear Magnetic Resonance Synopsis: Spin Gymnastics is both an introduction to MRI physics and a summary of its most important concepts. It is intended to "set the table" for a series of subsequent lectures in the Physics for Clinicians Course that build on the basic concepts presented in this lecture. The information is presented in a graphical, animated format to assist in the complex understanding of the spatial and temporal components of the MR imaging process. |
| 14:20 | Basic Artifacts: Explaining, Recognizing & Avoiding Them |
| Penny Gowland | |
Keywords: Image acquisition: Artefacts, Physics & Engineering: Physics, Physics & Engineering: Hardware This talk will explain the source of some common artefacts in MRI assuming and will be aimed at clinicians and technologists but may also provide a useful overview for physicists.It will consider how artefacts can be overcome or corrected post acquisition in some cases, and it will mention how the artefact processes link to useful aspects of MRI where relevant. It will start by considering the most common sources of artefacts in standard MRI and will then go onto consider some more interesting artefacts that are hopefully seen less frequently. |
| 14:50 | Break & Meet the Teachers |
| 15:20 | Common Mechanisms of Contrast |
| Hiroyuki Kabasawa | |
Keywords: Education Committee: Clinical MRI This educational lecture will provide an overview of the image contrast mechanism of Magnetic Resonance Imaging (MRI). This lecture will focus on the common and basics MR image contrast based on magnetization relaxation. This presentation will cover the basics physics of MRI contrast generation, relationship between key acquisition parameters and image contrast, and acquisition parameter optimization for better image contrast. The course will be non-mathematical. The lecture starts with how MRI works, then break it down to contrast mechanism details. |
| 15:50 | Sequences: Spin Echo, Gradient Echo, EPI, Magnetization Preparation |
| John Mugler III | |
Keywords: Image acquisition: Sequences This presentation will first review the basic functional elements of a pulse sequence, and then discuss pulse-sequence types commonly used for clinical MRI, including gradient-echo and spin-echo based techniques, as well as echo-train implementations of both methods – echo planar imaging and fast/turbo spin echo. Magnetization preparation approaches will also be described, such as used for inversion recovery contrast (e.g., fat-signal suppression (“STIR”) or fluid-signal suppression (“FLAIR”)), fat suppression, or spatial presaturation. |
| 16:20 | Fast Imaging: Parallel Imaging, Compressed Sensing & More |
| Maria Altbach | |
Keywords: Image acquisition: Fast imaging The Fast Imaging: Parallel Imaging, Compressed Sensing & More lecture will provide a high-level introduction to fast imaging acquisition techniques, parallel imaging, and reconstruction methods including compressed sensing and the new field of deep learning. Each topic will be described using diagrams and images to illustrate the techniques as well as their strengths and limitations. |
| 13:00 | Clinical Need & Experience with Fetal CMR |
| Mike Seed |
| 13:25 | Current & Future Fetal CMR Techniques |
| Chris Macgowan | |
Keywords: Cardiovascular: Cardiac, Cardiovascular: Blood, Image acquisition: Motion correction In this presentation, I summarize recent advances in fetal cardiovascular MRI and discuss potential directions for the field. A wide range of topics will be introduced including dynamic cardiac imaging, flow quantification, and blood oximetry. The techniques that support such work will also be discussed including fast imaging, motion compensation, novel gating strategies, and volumetric reconstruction. |
| 13:50 | Technical Developments Enabling iCMR for Congenital Heart Disease |
| Sébastien Roujol |
| 14:15 | Clinical Applications for iCMR in Congenital Heart Disease |
| Suren Reddy |
| 14:40 | Cardiac MR in Patients with Cardiac Devices |
| Margaret Samyn | |
Keywords: Cardiovascular: Cardiac, Transferable skills: Safety, Cross-organ: Pediatric “Cardiac MRI in Patients with Devices” will discuss the current state of magnetic resonance imaging for patients with implanted devices – focusing on pacemakers. Pediatric specific data will be reviewed, as will Heart Rhythm Society guidelines for imaging adults with devices. |
| 15:05 | Break & Meet the Teachers |
| 15:30 | Minimizing Artifacts in Patients with Coils, Stents & Other Metallic Devices |
| Lindsay Griffin | |
Keywords: Cardiovascular: Cardiovascular, Cross-organ: Pediatric, Image acquisition: Artefacts We will discuss mitigation of metallic artifact in cardiac and pediatric magnetic resonance imaging (MRI). We will develop a checklist for exam planning that considers patient, machine, and sequence factors. We will review examples of common instigators of metal artifact, including those outside the field of view like braces, tracheostomies, and gastrointestinal clips as well as those in the chest like ductus arteriosus clips, spinal fusion hardware, and coils of AVMs and aortopulmonary collaterals. Our discussion will include imaging with pacemakers. We will compare and contrast selection and optimization of conventional MRI sequences with metal artifact reduction sequences. |
| 15:55 | Non-Contrast-Enhanced CMR Is Sufficient! |
| Anastasia Fotaki | |
Keywords: Cardiovascular: Cardiovascular Cardiac Magnetic Resonance Imaging plays a fundamental role in the care of patients with congenital heart disease. Current clinical protocols might necessitate the administration of contrast agents, particularly for anatomical imaging and tissue characterisation. This talk discusses emerging approaches for contrast-agent free CMR protocols, with the hope to motivate further application of these techniques for efficient, contrast-agent free imaging in CHD. |
| 16:20 | Contrast-Enhanced CMR Is Necessary! |
| Kim-Lien Nguyen |
| 13:00 | Diffusion Microstructure Models in the Brain |
| Santiago Coelho | |
Keywords: Contrast mechanisms: Diffusion, Contrast mechanisms: Microstructure, Neuro: Brain This talk examines current diffusion MRI modeling approaches for brain tissue. Biophysical models and signal representations are contrasted. How diffusion coarse-graining facilitates modeling is explained. Emphasis is put on the identification of common modeling assumptions and examples on how to validate them. High diffusion weightings, long and short diffusion times, and variable tensor encodings are discussed together with state-of-the-art modeling techniques on each. Finally, present and future directions for modeling white and gray matter are discussed. |
| 13:25 | Diffusion Microstructure Models in the Body and Tumor |
| Sungheon Gene Kim | |
Keywords: Contrast mechanisms: Diffusion, Body: Body, Cross-organ: Cancer This lecture provides an overview of how diffusion MRI has been used to measure tissue microstructural properties in various tissues and organs outside the brain. We will focus on (i) diffusion microstructure models in the body that have been used to measure the tissue microstructural properties in specific examples including muscle, breast, and prostate; and (ii) diffusion microstructure models for tumor that can be used to measure cancer cell properties, such as cell size and transcytolemmal water exchange rate. The need and challenges for validation will also be discussed. |
| 13:50 | Diffusion Hardware Phantoms |
| Penny Hubbard Cristinacce | |
Keywords: Contrast mechanisms: Diffusion This lecture will describe the array of hardware diffusion phantoms developed to help validate advanced diffusion MR methods. These physical phantoms can include liquids, solutions, liquid crystals, gels, beads, capillaries, textiles, polymer fibers, yeast cells and plants, as well as more elaborate physical assemblies and combinations of structures. Phantoms designed to validate tractography, microscopic anisotropy, restricted diffusion, inter-compartmental exchange, pseudo-diffusion/flow, and multi-parametric methods, such as relaxation-diffusion correlations, will be described and their advantages and disadvantages discussed. |
| 14:15 | Diffusion Numerical Phantoms |
| Hong-Hsi Lee | |
Keywords: Contrast mechanisms: Microstructure, Contrast mechanisms: Diffusion Performing diffusion simulations in numerical phantom mimicking realistic tissue microstructure helps to test the sensitivity of diffusion MRI to tissue features and validate the biophysical models. Realistic cell geometries for simulations have been directly reconstructed from the microscopy data of biological tissues in 3-dimension. In addition to the diffusion within intra-cellular space, it is possible to perform simulations of diffusion in the extra-cellular space, as well as of the exchange between intra- and extra-cellular spaces. The tissue preparation preserving extra-cellular space in histology is non-trivial, prompting the development of pipelines to generate semi-realistic tissue microstructure by packing multiple artificial “cells”. |
| 14:40 | Break & Meet the Teachers |
| 15:05 | Preclinical and Histological Validation of Brain Microstructure Mapping |
| Alejandra Sierra | |
Keywords: Neuro: Brain, Contrast mechanisms: Diffusion, : Preclinical/Animal The brain tissue has a complex microstructural environment, which is averaged in the coarse resolution of MRI. In this talk, we will explore the potential of conventional and advanced histological methods, e.g., light or electron microscopy, offering a variety of tissue information at higher resolution than diffusion MRI. We will talk about extracting quantitative information or 3D modeling of brain tissue microstructure relevant to diffusion MRI. We will discuss how to develop strategies for validation using a multimodality approach and what are the benefits and challenges of combining histological information with greater sensitivity and the coarse information of diffusion MRI. |
| 15:30 | Preclinical & Histological Validation of Body/Tumor Microstructure Mapping |
| Yuko Someya | |
Keywords: : Preclinical/Animal, Cross-organ: Cancer Diffusion MRI, which visualizes the non-Gaussian movement of water molecules in a heterogeneous tumor microenvironment, has the potential to add new information about tissue microstructure non-invasively. This talks Introduce diffusion MRI methods for studying tumor microstructure, and then describe their sensitivity to tumor microstructural differences (cell size, shapes and configurations, cellularity, amount of extracellular space, intra-tumor heterogeneity, etc.), considering how the submicron resolution of tissue microscopy and the millimeter resolution of diffusion MRI can be linked to. Since the assessment of tumor angiogenesis is essential in oncology, the assessment of tissue microvasculature through the IVIM approach will also be discussed. |
| 15:55 | Preclinical Validation of Fiber Orientations and Tractography |
| Marios Georgiadis | |
Keywords: Neuro: Brain connectivity, Neuro: White matter, Contrast mechanisms: Diffusion Myelinated axons enable fast and energy-efficient signal transmission. However, axons can have micron-level diameter and multiple centimeters length, so axon trajectories are hard to follow. Multiple modalities can reveal axon paths, typically by providing axonal orientations followed by tractography algorithms. Each technology has limitations preventing it from being considered a “gold standard”. Diffusion MRI (dMRI) provides beautiful tractograms, however its readouts are not specific to myelinated axons, and need validation. This talk will present the 2D and 3D methods used to image axonal orientations and trajectories, and review results from each method as well as past and ongoing validation efforts. |
| 16:20 | Validation in Clinic & Population Studies |
| Catherine Lebel | |
Keywords: Contrast mechanisms: Diffusion Validations in phantoms, preclinical, and histological studies have greatly enhanced our understanding of what in vivo diffusion measures reflect. However, there remain complexities in human imaging that can confound interpretations and mean that phantom, animal, and histology studies do not always perfectly translate. Validation in clinical and population studies remains important to better inform interpretation of diffusion metrics in human studies. I will cover diffusion validation studies in clinical and population studies in living humans. In particular, studies relating various diffusion and other metrics to one another provide context for interpretation and help evaluate the specificity of various diffusion metrics. |
| 13:00 | Technical Aspects of MRI Oxygenation Measurement |
| Thoralf Niendorf |
| 13:35 | Assessing tumor oxygenation as a predictive imaging biomarker |
| Ralph Mason | |
Keywords: Cross-organ: Cancer, Cross-organ: Oxygenation, Contrast mechanisms: Relaxometry Hypoxia is associated with tumor growth and development, and strongly influences some treatment response. Various MRI techniques have been developed to assess tumor hypoxia and dynamic response to interventions non-invasively. 19F, 1H or ESR provide quantitative estimates of pO2 revealing intra tumoral heterogeneity and differential response to interventions, but require exogenous reporter agents. Recently, oxygen-sensitive approaches based on direct interrogation of tissue water (R2* and R1) have been demonstrated in both pre-clinical studies and translational trials in humans, as potential predictive imaging biomarkers. The review will consider state of the art and future opportunities for development and applications. |
| 14:10 | MRI of Cerebral Oxygenation: a quest to quantify the BOLD effect |
| Thomas Christen | |
Keywords: Neuro: Brain, Image acquisition: Quantification, Image acquisition: MR Fingerprinting In this presentation, we will follow a line of research that aims to estimate brain oxygen extraction fraction by quantifying the famous Blood Oxygen Level Dependent (BOLD) effect. We will see how the models and data acquisitions patterns have been refined over the years, and how these “quantitative BOLD” methods have been eventually fused with other MR approaches such as quantitative susceptibility mapping (QSM) or MR fingerprinting (MRF). Clinical and preclinical results will be presented in healthy brains as well as in pathologies such as stroke or neurodegenerative diseases. |
| 14:45 | Break & Meet the Teachers |
| 15:15 | MRI of Placental Oxygenation |
| Esra Abaci Turk | |
Keywords: Cross-organ: Oxygenation The placenta is an important organ that serves as a critical interface between a mother and her fetus. Deterioration in placental function throughout pregnancy is a leading cause of perinatal morbidity and mortality. Monitoring placental function throughout pregnancy is therefore a critical component of antenatal care, but few tools currently exist for direct assessment of placental function. MRI provides a tremendous potential for monitoring placental function. Development of quantitative MRI measures of placental oxygen delivery and transport between the mother and the fetus would increase our ability to detect placental insufficiency and could motivate and evaluate potential therapeutic interventions. |
| 15:50 | MRI of Renal Oxygen Availability |
| Pottumarthi Prasad | |
Keywords: Body: Kidney, Contrast mechanisms: fMRI, Cross-organ: Oxygenation Unlike most organs, in the kidneys, oxygen consumption changes with blood flow and increase in blood flow doesn't necessary lead to increased oxygen delivery. Further, there is a regional variation in blood and oxygen supply within the kidneys necessitating imaging based approach. BOLD MRI is the only non-invasive method to-date to evaluate renal oxygen availability. It is most useful for detecting acute changes following pharmacologic maneuvers. Limitations in conventional ROI analysis have been identified, creating an interest in alternative methods, including whole kidney analysis such as twelve layer concentric objects (TLCO). |
| 16:25 | MRI of Cardiac Oxygenation |
| Lian-Ming Wu |
| 13:00 | Basics: k-Space to Image Space |
| Holden Wu | |
Keywords: Image acquisition: Reconstruction MRI data acquisition and reconstruction are linked through the unique concept of “k-space.” This talk will begin with an overview of the MRI signal equation and essential mathematical methods. Next, this talk will introduce k-space and its key characteristics, and then proceed to cover MRI data sampling in k-space and basic MR image reconstruction from k-space data using the Fourier transform. Imaging considerations, such as artifacts due to undersampling, will also be discussed. Finally, this talk will summarize the important role of k-space in MRI and set the stage for advanced reconstruction methods that will be covered in subsequent talks. |
| 13:30 | Using Coils: Parallel Imaging |
| Daniel Sodickson | |
Keywords: Image acquisition: Reconstruction, Image acquisition: Fast imaging, Physics & Engineering: Hardware This talk will review the use of radiofrequency (RF) coils for spatial encoding in MRI. RF coils have spatially varying sensitivities to MR signal. As a result, combining information from multiple coils allows spatial discrimination of regions not explicitly separated by magnetic field gradients; or, alternatively, it allows missing data not explicitly encoded with gradients to be filled in. The talk will introduce SMASH, SENSE and GRAPPA parallel imaging approaches as distinct but related fitting problems. It will then place parallel imaging in the broader context of inverse problems to be introduced in subsequent lectures. |
| 14:00 | Off-the-Grid: Non-Cartesian Sampling |
| Matthias Stuber | |
Keywords: Cardiovascular: Cardiac, Cardiovascular: Cardiac function, Image acquisition: Motion Correction Non-rectilinear signal readouts offer both unprecedented challenges and opportunities both on the acquisition and on the reconstruction side. These will be discussed with a particular focus on cardiovascular applications. In this context, fat suppression strategies, 2D imaging, 3D imaging and even excitation k-space will be discussed. |
| 14:30 | Sparsity & Compressed Sensing |
| Aurelien Bustin | |
Keywords: Image acquisition: Fast imaging In this presentation, we will delve into the fascinating world of compressed sensing, which allows for measuring less data during imaging procedures. We will explore the three fundamental ingredients of compressed sensing: sparsity, random acquisition, and non-linear reconstruction. We will delve into each component, exploring their implementation and showcasing their remarkable potential in a range of clinical applications. |
| 15:00 | Break & Meet the Teachers |
| 15:30 | Low-Rank & Structured Low-Rank Methods |
| Haikun Qi | |
Keywords: Image acquisition: Reconstruction This talk will first introduce the basics of low-rank methods including low-rank matrices, low-rank approximation and how low-rankness could help to regularize MRI reconstruction. Then, an overview of low-rank MRI reconstruction approaches will be provided including general low-rank and structured low-rank methods. Finally, emerging deep learning based low-rank methods will be briefly introduced followed by a summary of this talk. |
| 16:00 | Deep Learning Image Reconstruction |
| Leslie Ying | |
Keywords: Image acquisition: Reconstruction Deep learning, as a powerful tool for artificial intelligent, has attracted a lot of attention in the MRI community. Recently deep learning has shown success in image reconstruction. It has demonstrated some unique benefits over the existing methods. This course will teach the basics of neural network and some existing methods to use deep learning to perform image reconstruction from undersampled k-space data. The benefits, limitations, and outlook for deep learning image reconstruction will also be discussed. |
| 16:30 | Efficient Forward Models for Image Reconstruction |
| Matthew Muckley | |
Keywords: Image acquisition: Reconstruction, Transferable skills: Software engineering This presentation will give an overview on the practical aspects of implementing forward and backward operators for MR image reconstruction. We will cover the high-level details of implementing non-Cartesian compressed sensing reconstruction in PyTorch. Topics covered will include 1) how to convert mathematical operators to code, 2) code execution on the CPU vs. GPU, 3) building linear operations and verifying their correctness, and 4) a final demonstration of reconstruction. Although the implementation focuses on PyTorch, high-level concepts will be extensible to other languages such as MATLAB or Julia, and references will be made to these alternative frameworks where possible. |
| 13:00 | BOLD & Non-BOLD Contrasts in Human fMRI |
| Sriranga Kashyap | |
Keywords: Contrast mechanisms: fMRI, Neuro: Brain FMRI is a non-invasive method that allows scientists to study the brain function during task or at rest. The BOLD contrast is the workhorse of functional neuroimaging. A cascade of physiological events following neuronal activity (changes in blood oxygenation, flow and volume) culminates in the BOLD signal. The versatility of MRI enables imaging of blood flow and volume using techniques such as Arterial Spin Labelling (ASL) and Vascular Space Occupancy (VASO) respectively. In this talk, we will learn about BOLD and non-BOLD contrasts (CBF, CBV), discuss what they offer and how they differ in their application to human fMRI. |
| 13:30 | Studies with Single Subjects or Large Numbers of Volunteers - Why, & How? |
| Wietske van der Zwaag | |
Keywords: Neuro: Brain function, Neuro: Brain, Neuro: Brain connectivity In the functional MRI field, datasets continue to grow. Interestingly, there are two different trends: There are currently multiple efforts towards collection of datasets with a huge number of participants, to capture the variance in a population, or to use the power of massive averaging to discover subtle brain function patterns. A second trend is towards exhaustive sampling of a single participant (or a few), arguing that measurements of one brain likely generalize to most other brains. Dense sampling allows experiments with either many conditions or extremely detailed images, exploring different types of variance. This talk will discuss both trends. |
| 14:00 | Resting State fMRI & Recent Advances |
| Marta Bianciardi | |
Keywords: Neuro: Brain connectivity In this course, we first describe the major networks defined in humans based on resting state fMRI. We then present methods used for static and dynamic resting state fMRI connectivity analysis. Further, we provide an overview of resting state fMRI applications in neuroscience and in clinical studies, including recent advances in the field. Finally, we discuss current limitations of resting state fMRI methods and future directions. The target audience includes MRI scientists, neuroscientists, clinical researchers, neurologists and neurosurgeons interested in learning about methods, applications and recent advances of resting state fMRI in humans. |
| 14:30 | Advances in Preclinical fMRI |
| Xin Yu | |
Keywords: : Preclinical/Animal, Image acquisition: Fast imaging, Contrast mechanisms: Non-proton In this course, I will discuss the ultra-high resolution preclinical fMRI methods: line-scanning fMRI and single-vessel fMRI. In particular, the k-space reshuffled FLASH fMRI method will be highlighted to specify its unique features for high spatial resolution (vessel-specific) mapping and high temporal resolution (~5-10ms TR) mapping. Also, awake mouse fMRI with 100umx100umx200um resolution using 14T MRI scanner will be presented, which can be further applied to specify brain-wide vasodynamic changes. In the end, I will introduce the feasibility testing of 23Na-fMRI in rodent brains. |
| 15:00 | Break & Meet the Teachers |
| 15:30 | Advances in fMRI Data Acquisition Techniques |
| Benedikt Poser | |
Keywords: Contrast mechanisms: fMRI I will first focus on echo-planar imaging readouts which have long been the workhorse for fMRI, but continue on a remarkable trajectory of imaging speed-up and data improvement. Non-Cartesian imaging is now gaining more interest for various functional contrasts, thanks to the flexibility in encoding and echo time choices. I will then also touch on other promising acquisition methods for laminar imaging, including line scan, FLASH readouts, as well as contrasts. The last part of the talk is focussed on how parallel RF transmission can add to image quality in 2D and 3D acquisitions and enable region selective excitations. |
| 16:00 | Advances in Hardware Approaches for fMRI |
| David Feinberg | |
Keywords: Physics & Engineering: Gradient & B0 Safety, Physics & Engineering: High-Field MRI Basic and advanced hardware systems including magnetic field gradients, receiver and transmit arrays are reviewed. When integrated together into 7T scanners advanced hardware yields non-increment increase in spatial resolution of whole-brain fMRI, Layer-fMRI and physiologic imaging. |
| 16:30 | General Introduction to Deep-Learning Techniques in fMRI Analysis |
| Hyunseok Seo | |
Keywords: Neuro: Brain function This general introduction provides an overview of deep-learning techniques used in fMRI analysis, focusing on clustering, dimensionality reduction, and dynamic pattern analysis. Clustering identifies functionally related regions of the brain by grouping similar data points together. Dimensionality reduction reduces the number of dimensions in the data while retaining important information to facilitate understanding of complex activity patterns. Dynamic pattern analysis examines how activity patterns change over time, identifying brain regions involved in different cognitive processes. These techniques provide valuable insights into the functional activity of the brain and have the potential to enhance our understanding of cognitive and neural processes. |
| 13:00 | Coil Decoupling Theory |
| Dennis Klomp |
| 13:30 | Flexible Coils |
| Michael Lustig | |
Keywords: Physics & Engineering: Hardware Flexible coils provide comfort and fit to patients, improving image quality, SNR, acceleration and patient management. This talk discusses the challenges in designing and manufacturing flexible coils. And then goes through the different existing an emerging technologies for making the next generation flexible receiver arrays. |
| 14:00 | Wireless Coils |
| Lena Nohava | |
Keywords: Physics & Engineering: Hardware This lecture focuses on the presentation of key requirements and possible strategies for the future development of wireless radiofrequency (RF) coils. On-coil signal digitization, different wireless transmission technologies as well as recent advances e.g., related to wireless control signaling, clock synchronization to the MRI system, and wireless power delivery strategies will be discussed. Course participants are introduced to the remaining challenges and perspectives in wireless RF coil development. |
| 14:30 | Dielectric & Metamaterials |
| Alexey Slobozhanyuk | |
Keywords: Physics & Engineering: Physics, Physics & Engineering: Hardware, Physics & Engineering: RF Safety The development of new materials to improve MR image quality remains an active area of research, but has not yet found significant use in clinical applications. Within this lecture we will review how dielectric resonators and metamaterials can be used in clinical and ultra-high field MRI. We will highlight pros and cons of applications of new materials in clinics and give some simple recipes which may help to build very simple wireless coils and pads which can be used in different hospitals all around the world. |
| 15:00 | Break & Meet the Teachers |
| 15:30 | RF Amplifiers & Electronics |
| Nicola De Zanche | |
Keywords: Physics & Engineering: Hardware, Physics & Engineering: RF Safety This lecture covers the basic concepts of small signal and power RF amplifiers, as well as the unique requirements for MR applications. |
| 16:00 | Simulation of RF Electromagnetic Fields for MRI: Methods and Applications |
| Christopher Collins | |
Keywords: Physics & Engineering: RF Safety, Physics & Engineering: Hardware, Physics & Engineering: Physics Simulations of electromagnetic fields have many valuable uses for design and evaluation of RF coils with consideration of both performance and safety. What methods are best depend on the intended application, available resources, and preferences of the researcher. Successful use of RF simulations for MRI requires good understanding of the simulation process, the expected behavior of RF coils and the fields they produce, and how these fields relate to signal and/or heating during MRI. In this presentation, we will cover important concepts and methods for simulating RF coils, fields, and their effects in MRI. |
| 16:30 | RF Safety with Implants |
| Yigitcan Eryaman | |
Keywords: Physics & Engineering: RF Safety This talk will focus on radio-frequency (RF) safety issues related to imaging patients with metallic implants. Different investigation methods including full-wave electromagnetic simulations, simplified transmission line models, and transfer-function measurements will be covered. Effect of RF induced currents on MR image quality will also be presented. Finally, a variety of mitigation strategies at different field strengths will be introduced. |
| 13:00 | Generating Signal in Structural Imaging |
| Puneet Sharma | |
Keywords: Physics & Engineering: Physics, Image acquisition: Sequences This educational review discusses the origin and creation of signal for the various techniques commonly used in structural magnetic resonance imaging. The presentation will explore generating signal by exploiting the MR phenomena and relevant tissues properties. Topics will include a description of the RF system, hardware, and their role in signal generation; the MR signal equation and detection; and the important factors to maximize signal strength and quality. In addition, alternate methods for generating MR signal, such as magnetization transfer, will be introduced, along with some future directions, such as deep learning. |
| 13:25 | MR Spectroscopy: basic principles |
| Francesca Branzoli | |
Keywords: Contrast mechanisms: Spectroscopy This lecture will focus on the basic principles of MR Spectroscopy: electron shielding, chemical shift and J-coupling will be introduced, together with the basic single-voxel MR Spectroscopy sequences and acquisition steps. The effects of echo-time and field strength on the MR spectrum will also be discussed. |
| 13:50 | The Physics of Imaging Diffusion & Perfusion |
| Rita Nunes | |
Keywords: Contrast mechanisms: Diffusion, Contrast mechanisms: Perfusion This lecture will cover the basic principles of diffusion and perfusion-weighted MRI. The basic diffusion sensitization module will be presented, together with the apparent diffusion coefficient (ADC) and diffusion tensor imaging (DTI) models. Different strategies to measure tissue perfusion will be introduced, relying either on the injection of an external contrast agent as in Dynamic Susceptibility Contrast-MRI (DSC-MRI) and Dynamic Contrast Enhanced-MRI (DCE-MRI) or by using water as an endogenous contrast agent as in Arterial Spin Labelling (ASL). Clinical examples will be briefly presented for both diffusion and perfusion imaging including brain ischemic stroke and tumour imaging. |
| 14:15 | Panel Discussion |
| 14:40 | Break & Meet the Teachers |
| 15:05 | Quantitative Imaging: In Numbers We Trust |
| Mark Griswold |
| 15:30 | Contrast Agents: From Physics to Application |
| Eliana Gianolio | |
Keywords: Contrast mechanisms: Contrast agents, Contrast mechanisms: Relaxometry, Contrast mechanisms: CEST & MT During this lecture the speaker will delve into the physics and chemistry of MR contrast agents and how they enhance image quality, as well as their various applications in clinical practice. Attendees will gain a deeper understanding of the different types of contrast agents used in T1W and T2W MRI, including metal-based agents and iron-oxide nanoparticles, and their advantages and limitations. The lecture will also cover safety concerns on the use of Gadolinium-based CAs and possible alternatives/reduction strategies will be presented. Other classes of CAs beyond Gd and iron-oxide nanoparticles, such as CEST and hyperpolarized agents, will also be introduced. |
| 15:55 | Image Artifacts: What Is Real? |
| Philip Lee | |
Keywords: Image acquisition: Artefacts This session will provide an overview of common image artifacts observed in MRI. Artifacts will be sorted into hardware-related artifacts (in general, ones that can be reproduced in phantoms), and physiological artifacts (ones that can only be observed in vivo). Emphasis will be placed on analyzing raw k-space and coil data to promote an in-depth signal-based understanding. By the end of this session, an attendee should be able to identify what is, and what is not an artifact, and narrow-down candidate causes of the artifact. |
| 16:20 | Panel Discussion |
| 7:45 | Fundamentals of Neuroinflammation & Immunologic Mechanisms in Neurobiology |
| John Chen | |
Keywords: Neuro: Nervous system, Neuro: Neurodegeneration, Neuro: Brain Neuroinflammation is a key immune response observed in many neurological and neurodegenerative diseases. While an appropriate immune response can be beneficial, aberrant activation of this response recruits excessive proinflammatory cells to cause damage. Thus, neuroinflammation can exert damaging as well as beneficial effects depending on the context. This talk will provide a broad overview of neuroinflammation and describe its unique aspects. Key immune cells and factors in mediating neuroinflammation will be introduced followed by a discussion of clinical and emerging biomarkers for neuroinflammation, including an imaging method to differentiate damaging and reparative neuroinflammatory responses in vivo by MRI. |
| 8:15 | Inflammatory Basis of Neurological Diseases I: Autoimmune & Primary Inflammatory/Infectious Disorders |
| Pascal Sati |
| 8:45 | Inflammatory Basis of Neurological Diseases II: Cerebrovascular, Neurodegenerative & Neuropsychiatric Disorders |
| Sara Martinez de Lizarrondo | |
Keywords: Neuro: Cerebrovascular, Cross-organ: Inflammation, Contrast mechanisms: Molecular imaging Inflammation is a hallmark of most neurological disorders. Following perturbation of the homeostasis of the central nervous system, both innate and adaptive immune systems are at play to limit the extent of diseases and mediate repair and regeneration. Yet, abnormal activation of the immune system in the brain can worsen brain damages and influence cognitive functions. The pathophysiological mechanisms driving neuroinflammation in the context of cerebrovascular, neurodegenerative, and neuropsychiatric disorders are similar and offer interesting biomarkers for imaging. |
| 9:15 | Break & Meet the Teachers |
| 9:45 | Clinical Trials & Practice: PET: Present & Future |
| Steven Baete | |
Keywords: Neuro: Brain Receptor PET imaging allows for unparalleled insights in the physiological and metabolic processes of neuroinflammation. PET radioligands targeting TSPO are the most developed and their utility has been shown in literature in a wide range of neurodegenerative and psychiatric diseases. More recently, a number of promising PET radioligands for alternative inflammation targets are being developed. When interpreting receptor PET imaging, caution is needed in carefully considering appropriate modeling approaches and distribution and expression of target receptors in the pathology of interest. |
| 10:15 | Clinical Trials & Practice: MRI: Present & Future |
| Maxime Gauberti | |
Keywords: Contrast mechanisms: Molecular Imaging MRI of neuroinflammation currently relies on two main imaging features: edema and blood brain barrier leakage. Unfortunately, they are not specific for inflammation and the diagnosis of inflammatory lesions of the central nervous system can be challenging. New imaging biomarkers have been described such as the paramagnetic rim sign in multiple sclerosis, that improve imaging specificity but remain only applicable to a subset of neuroinflammatory diseases. More recently, there have been striking progresses in preclinical molecular MRI including the development of highly sensitive and specific contrast agents targeting the inflamed neurovascular unit with potential for clinical translation. |
| 10:45 | Panel Discussion |
| 11:15 | Break & Meet the Teachers |
| 7:45 | Industry, MR or Healthcare |
| Wes Gilson |
| 7:55 | Industry Outside of MR or Healthcare |
| Jordin Green | |
Keywords: Transferable skills: Value I will be discussing my experiences transitioning from academia to industry. |
| 8:05 | Policy/Regulation |
| Kyoko Fujimoto |
| 8:15 | Funding Agency |
| Ileana Hancu | |
Keywords: Transferable skills: Research coordination, Transferable skills: Impact planning This presentation will go through my 22+ years in non-academic environments, including industry and funding agencies. Particular attention will be paid to my recent years at NIH, first as a scientific review officer at the Center of Scientific Review (CSR), then as a Program Officer at the National Cancer Institute (NCI). Last, I will describe my recent experience as a Program Manager at the Advanced Research Project Agency for Health (ARPA-H). |
| 8:25 | Healthcare/Medical Physics |
| Atiyah Yahya | |
Keywords: Cross-organ: Cancer The presentation will provide an overview of my career path towards becoming a certified medical physicist. It will also describe my role as a medical physicist in the clinic. |
| 8:35 | Entrepreneur/Startup |
| Michael Poole |
| 8:45 | Panel Discussion |
| 9:30 | Break & Meet the Teachers |
| 10:00 | Switching Out of Academia |
| Arnaud Comment | |
Keywords: Transferable skills: Value There is no recipe to successfully move from academia to industry and jumping into the unknown might seem daunting. While each journey is different, I will share mine and attempt to bust a few myths about careers in industry. |
| 10:20 | Writing a Non-Academic Resume |
| Nana Lee | |
Keywords: Transferable skills: Impact planning, Transferable skills: Value How can your non-academic resume stand out from rest of the applications? Join Dr. Nana Lee, Director of Graduate Professional Development, Assistant Professor (U of Toronto), and former Biotech Scientist as she provides tips and tools to create the best story of yourself on this critical document to open opportunities for you. |
| 10:40 | Break & Meet the Teachers |
| 10:50 | Hands on Resume Workshop |
| 7:45 | Update on MRI: Protocols, Artifacts & Pitfalls |
| Masako Kataoka | |
Keywords: Body: Breast This talk focuses on describing standard breast MRI protocol including T2WI, T1WI, DWI, and dynamic contrast enhanced (DCE) images. Purpose of each sequence in a clinical setting will be explained. The talk also covers pitfalls and artifacts that are commonly encountered in the image acquisition and interpretation. |
| 8:10 | Interpretation: BI-RADS & More |
| Lilian Wang | |
Keywords: Body: Breast This lecture will present basic breast MRI interpretation principles, with focus on the Breast Imaging Reporting and Data System (BI-RADS). The BI-RADS lexicon for MRI findings and BI-RADS assessment and recommendation categories will be reviewed. A systematic approach to image interpretation will be discussed, including the potential for multiparametric MRI to improve diagnostic accuracy. |
| 8:35 | Beyond DCE: DWI & Emerging Techniques |
| Nariya Cho | |
Keywords: Body: Breast Diffusion MRI has emerged as an alternative and complementary technology for breast evaluation. It has already shown the clinical value of diffusion MRI for improving specificity leading to a decreased benign biopsy for suspicious lesions on contrast-enhanced breast MRI. In addition, studies are actively underway to evaluate its value as a stand-alone screening method. To help radiologists implement DWI in clinical practice and to inspire physicists to develop new technologies, this lecture will outline principles, standardized techniques, clinical applications, and research of diffusion MRI using ADC. Furthermore, advanced DWI techniques, including IVIM, DKI, and DTI, will be briefly reviewed. |
| 9:00 | Patient Safety & Information to Women |
| Naoko Mori |
| 9:25 | Break & Meet the Teachers |
| 9:50 | New Approaches & Recommendations for Screening (Risk-Adapted) |
| Ritse Mann |
| 10:15 | Pre-Operative MRI: An Update on the Evidence |
| Julia Camps Herrero |
| 10:40 | Treatment Response Assessment, Prediction & Prognosis & Image-Guided Minimally Invasive Therapy |
| Federica Pediconi | |
Keywords: Body: Breast, Education Committee: Clinical MRI This talk will focus on the assessment of NAT response with breast MRI-derived biomarkers, and the use of minimally invasive therapies in breast cancer, their current indications and future perspectives. |
| 11:05 | The Treated Breast, Breast Implants & Oncoplastic Reconstructions |
| Alexandra Athanasiou | |
Keywords: Body: Breast Imaging the treated and reconstructed breast could be a challenge. Knowledge of the type of reconstruction is essential to tailor the MRI protocol. Current techniques of reconstruction include implants, autologous tissue reconstruction and fat grafting. Although breast cancer recurrence in this setting is rare, one should never overlook this possibility. Breast-Implant related Anaplastic Large Cell Lymphoma is a rare entity, commonly presenting as large fluid collection typically developing at least more than one year after receiving an implant (average after 8-10 years). CD30 immune staining is required after fluid drainage to establish the diagnosis.
|
| 7:45 | Introduction to Myelin Water Imaging: Overview, Motivation, Historical Perspective & Classical Solutions |
| Cornelia Laule | |
Keywords: Neuro: White matter, Neuro: Brain, Neuro: Spinal cord This presentation will provide an introduction to myelin water imaging (MWI), a quantitative MRI technique that can detect myelin in vivo. MWI was first proposed in the early 1990s as a method to measure the water trapped between the myelin bilayers in brain tissue. They used a multi-echo T2 relaxation sequence fit to a multi-exponential model to quantify signal arising from myelin water, as well as intra- and extra-cellular water, and subsequently applied MWI to study multiple sclerosis. Since then, MWI has been improved, validated and applied to various neurological disorders and healthy populations by many researchers around the world. |
| 8:10 | Other views on Myelin Water Imaging: Exploring the short apparent T1 and T2* of Myelin Water |
| Jose Marques | |
Keywords: Neuro: Brain, Contrast mechanisms: Electromagnetic Tissue Properties, Contrast mechanisms: Relaxometry Traditional MWI relies on the observation of a short T2 component (Mackay et al., 1994), yet there are other ways in which myelin affects the observed MR signal: by affecting the longitudinal magnetization recovery thanks to magnetization and chemical exchange mechanisms and by changing the free induction decay of the visible signal due to the myelin diamagnetic properties. This talk will focus on three recently proposed methods that explore these properties: ViSTa (Oh et al Neuroimage, 2013), gradient echo based myelin water imaging (Nam et al, Neuroimage 2015) and multi-compartment relaxometry myelin water imaging (Chan et al, Neuroimage, 2020). |
| 8:35 | Applications: Multiple Sclerosis |
| Shannon Kolind | |
Keywords: Neuro: Brain, Neuro: Neurodegeneration, Neuro: Spinal cord This section will introduce the use of myelin imaging for better understanding and treatment of multiple sclerosis. It will focus on current multi-centre research studies, clinical trials, unmet needs and future directions. |
| 9:00 | Applications: Normal Development & Aging |
| Ling Ling Chan |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Applications: Neurodegenerative diseases |
| Cristina Granziera | |
Keywords: Neuro: Brain, Neuro: Neurodegeneration This presentation will provide an overview of the application of myelin-sensitive MRI techniques to degenerative disorders Alzheimer's disease, Huntington's disease, traumatic brain injury, Parkinson's disease, and cerebral small vessel disease. We will discuss the findings but also critically consider the approach used in paradigmatic studies, which investigated myelin damage in patients affected by neurodegenerative pathologies. |
| 10:15 | Myelin Imaging in Preclinical Animal Models: Techniques & Applications |
| Ella Wilczynski | |
Keywords: Neuro: Brain, Neuro: White matter, : Preclinical/Animal Preclinical studies are essential for understanding myelin-related disorders, developing innovative methodologies, and comprehending their diverse manifestations. In this talk, we will explore the reasons for conducting preclinical experiments, discuss their advantages and disadvantages, and outline key adaptations for transitioning between preclinical and clinical sequences. Examples of histology validations, diverse animal models, and disparities with the human context will be presented. Valuable tips for researchers entering the field of myelin preclinical studies will also be provided. Join us to gain valuable insights into the crucial role of preclinical research in unraveling myelin pathologies. |
| 10:40 | MT & ihMT |
| Guillaume Duhamel | |
Keywords: Neuro: White matter, Contrast mechanisms: Microstructure, Contrast mechanisms: CEST & MT This course provides an outline of the potential of magnetization transfer techniques for myelin imaging. In particular, this presentation will show how inhomogeneous magnetization transfer (ihMT) can overcome limitations of the basic MT contrasts (MTR, MPF) to provide more specific information related to myelin. The potential and scientific/technical challenges of these approaches for clinical applications are discussed. |
| 11:05 | Direct UTE MR Imaging of Myelin |
| Yajun Ma | |
Keywords: Neuro: Brain, Neuro: White matter Myelin is a lipid-protein bilayer, which plays an essential role for brain function in facilitating the rapid conduction of action potentials in the axon. Loss of myelin is the hallmark of numerous inflammatory andneurodegenerative disorders. UTE or ZTE MRI sequences with echo times shorter than 100 us make it possible to direct image and quantify myelin content in brain. This lecture summarizes the recent development and applications of UTE and ZTE techniques for evaluation of myelin changes ex vivo and in vivo. |
| 7:45 | Overview of MSK MRI Physics |
| L. Tugan Muftuler |
| 8:15 | Pediatric and Adolescent MSK Radiology |
| Jie Nguyen | |
Keywords: Musculoskeletal: Cartilage, Cross-organ: Pediatric, Image acquisition: Sequences MRI is routinely utilized to complement the clinical assessment of children with a diversity of musculoskeletal pathologies. Current session will highlight 2 major hot topics in pediatric musculoskeletal radiology: (a) radiation-free bone imaging, and (b) maturation-dependent microstructural changes that should not be mistaken for pathology. For radiation-free bone imaging, current application, potential future uses, and limitations of ultrashort TE (UTE) and zero TE (ZTE) in children will be discussed. For maturation-dependent microstructural changes, use of T2-relaxation mapping (T2-mapping) of cartilage and diffusion tensor imaging (DTI) of the growth plates will be reviewed. |
| 8:45 | Overview of MSK Radiology |
| Garry Gold | |
Keywords: Musculoskeletal: Skeletal, Musculoskeletal: Joints, Musculoskeletal: Knee This talk will focus on the role of imaging in the care of patients with musculoskeletal disorders, including MRI |
| 9:15 | Orthopaedic MRI Near Metal Hardware |
| Jan Fritz |
| 9:45 | Break & Meet the Teachers |
| 10:15 | Advanced Musculoskeletal MRI |
| Jeongah Ryu | |
Keywords: Musculoskeletal: Cartilage In the last decade musculoskeletal MRI has unprecedented advances. With 3 Tesla field strength high performance gradients and rapid radiofrequency pulse transmission, advanced multichannel receiver coil and surface coil technologies, quantitative MRI techniques and radiomics, MR fingerprinting, synthetic contrast generation, parallel imaging, compressed sensing, simultaneous multislice acquisition techniques have been developed. Deep learning and artificial intelligence algorithms can enhance MRI with unparalleled gains in image speed and quality without signal-to-noise loss. These advances brought challenges too. In this educational lecture we will look around these issues centering around the fundamentals including definitions, advantages, and clinical applications. |
| 10:45 | Low-Field Musculoskeletal MRI |
| Jan Vosshenrich | |
Keywords: Musculoskeletal: Skeletal, Musculoskeletal: Joints, Physics & Engineering: Low-Field MRI Although the vast majority of musculoskeletal MRI examinations is performed at 1.5 and 3.0T, low-field MRI currently experience a renaissance and offers new opportunities for affordable imaging given lower installation and operational cost. Despite inherently lower signal-to-noise ratios, developments in coil design and image reconstruction techniques improve signal yield and allow to assess musculoskeletal pathologies with high diagnostic confidence. Additionally, imaging of patients with high-susceptibility metallic implants benefits from lower field strengths in terms of reduced metal artifacts. This lecture reviews the technical and economic aspects of low-field musculoskeletal MRI and discusses its applications, challenges and opportunities. |
| 11:15 | Ultra-High-Field Musculoskeletal MRI |
| Stefan Zbyn | |
Keywords: Musculoskeletal: Joints, Physics & Engineering: High-Field MRI MRI at ultra-high-field (7T and above) offers unique opportunities for improved resolution, contrast, and more accurate biochemical characterization of Musculoskeletal tissues compared to lower field strengths. While some challenges remain to be addressed for more impactful clinical workflows, recent hardware and software developments, as well as advancements in morphological and quantitative MRI techniques for ultra-high-field MR systems have great potential to further increase the relevance of 7T MRI in clinical musculoskeletal research and advance the translation of 7T MRI to clinical arena. |
| 7:45 | Methods for Improving Image Quality: A Diffusion MRI Perspective |
| M. Okan Irfanoglu | |
Keywords: Image acquisition: Image processing, Image acquisition: Artefacts, Image acquisition: Motion correction MR images suffer from several imperfections including (but not limited to) low SNR, artifacts and image distortions. In this seminar, we will first discuss whether manipulating images with image processing or machine learning techniques is beneficial or damaging, and then we will go over techniques (and tools) to improve image quality for each of these issues. Our examples will mostly focus on diffusion MRI but what can be done for other modalities such as anatomical or functional images will also be discussed and illustrated |
| 8:15 | Image Registration |
| Julio Carballido-Gamio | |
Keywords: Image acquisition: Image processing The applications of Image Registration in medical imaging are numerous, ranging from the alignment of longitudinal scans to segmentation of anatomical structures. In this session, I will cover material that will help you understand the different components of the intensity-based image registration framework. |
| 8:45 | Basic Principles of Model-Based Fitting for MRI |
| Dong-Hyun Kim | |
Keywords: Image acquisition: Modelling Model-based fitting is a powerful technique for extracting quantitative information from MRI data. We will discuss the challenges associated with model-based fitting, including model selection, noise and artifacts, parameter estimation, validation and reproducibility, and computation time. |
| 9:15 | Voxel vs. ROI-Based Statistical Analyses: From Histograms to Patients |
| Kyrre Emblem | |
Keywords: Image acquisition: Image processing, Transferable skills: Reproducible research, Image acquisition: Visualization Making good use of MRI data from a clinical study can be a challenge, especially when faced with the task of analyzing data from advanced imaging techniques in small patient cohorts. This talk will address some of the current challenges with image analyses in a clinical setting. Using neuroimaging and cancer as examples, the talk will discuss potential strategies to help produce and evaluate robust, repeatable, and clinically meaningful image parameters in patient studies with the typical low sample size. Different approaches for assessing and analyzing resulting parametric maps will be presented, including use of dynamic and longitudinal imaging data. |
| 9:45 | Break & Meet the Teachers |
| 10:00 | Machine Learning: What to Use & When |
| Peter LaViolette | |
Keywords: Image acquisition: Machine learning In this seminar I will discuss many ways that machine learning (ML) can be used for image processing, from model fitting to image segmentation. Many approaches vary depending on the application. A broad overview using radio-pathomics as an example will be discussed. |
| 10:30 | Network-Based Analyses: Graph Theory for Evaluating Brain Connectivity |
| Olga Tymofiyeva | |
Keywords: Neuro: Brain connectivity I will start by sharing my dream of a clinical application of network-based analyses: a short MRI scan for adolescents in primary care that would enable 1) brain network-based diagnosis of psychiatric disorders, 2) brain network-based treatment of psychiatric disorders, and 3) brain network-based prevention of psychiatric disorders. I will then talk about the challenges of the two main steps in constructing a brain network: i) choosing connectivity measures that will serve as the network "edges" and ii) dividing the brain into regions that will serve as the network "nodes." Various local and global network properties will also be discussed. |
| 11:00 | Tutorial: Practical Considerations When Performing Radiomics |
| Masoom Haider | |
Keywords: Body: Body, Cross-organ: Cancer, Image acquisition: Machine learning Radiomics has not yet made it into clinical care. For this to happen high quality biomarker technical validation is required. In this presentation, we go through key items to consider for meaningful radiomics research. This includes the availability of high-quality source data, proper technical validation methodology, good-quality analysis, external validation, a clear understanding of the use case. |
| 7:45 | Point-of-Care, Dedicated MR Imaging |
| Clarissa Cooley |
| 8:10 | New Opportunities for Endogenous Contrasts |
| Lionel Broche | |
Keywords: Physics & Engineering: Low-field MRI, Contrast mechanisms: Molecular imaging, Physics & Engineering: Physics Low magnetic fields are technically challenging to explore but offer exciting new opportunities for clinical applications as they have a high potential for safe, non-invasive and contrast agent-free examinations. However, the strength of the magnetic field is critical when relying purely on endogenous contrast, since different field regimes have different types of information to offer. Low-field designs must therefore optimise this parameter carefully. This course will present different types of endogenous contrast mechanisms that have been probed by Field-Cycling Imaging (FCI), including T1 regimes and 14N quadrupolar peaks cross-relaxation, and draw a picture of their variations with field strength. |
| 8:35 | Fast & Quantitative Imaging: Dream or Reality? |
| Adrienne Campbell-Washburn |
| 9:00 | Beyond Conventional Applications |
| Itamar Ronen |
| 9:25 | Break & Meet the Teachers |
| 9:50 | SNR Is Not Only About S |
| Ed Wu | |
Keywords: Physics & Engineering: Low-field MRI, Image acquisition: Machine learning, Image acquisition: Sequences The ongoing development of ultra-low-field (ULF) (<0.1T) and low-field (LF) (0.1-0.5T) MRI technologies will enable patient-centric and site-agnostic MRI scanners to fulfill the unmet clinical needs across various healthcare corners. This presentation aims to outline several approaches to mitigate the MR signal reduction problem intrinsic to ULF (and LF) MRI. |
| 10:15 | Clinical Applications: Heart, Lung, and Body Imaging |
| Wiphada Patricia Bandettini |
| 10:40 | Clinical Applications: Neuro Imaging |
| Michael Schulder |
| 11:05 | Panel Discussion |
| 7:45 | CE-MRA vs. CTA: Which Exam to Perform |
| Giles Roditi | |
Keywords: Cardiovascular: Cardiovascular The aim of this presentation is to highlight the issues that will clinically dictate whether to perform CE-MRA or CTA, providing a framework to approach the problem illustrated with case studies |
| 8:10 | CE-MRA with Novel Contrast Agents |
| Peng Hu | |
Keywords: Cardiovascular: Vascular In this talk, latest developments in CE-MRA will be discussed, with a special emphasis on novel contrast agents such as ferumoxytol, which has gained more attention in the past five years within the CE-MRA community. Both technical pulse sequence optimizations and clinical examples of ferumoxytol CEMRA will be discussed for different body sites. Cardiac applications will also be discussed. |
| 8:35 | History & Current Status of Non-Contrast-Enhanced MRA Techniques |
| Martin Graves | |
Keywords: Cardiovascular: Angiography Non-contrast-enhanced magnetic resonance angiography (NCE-MRA) has evolved considerably since its inception in the mid-1980s. The technique uses flow-related signal changes to visualize the vasculature, without contrast agents. Initially, time-of-flight (TOF) and phase-contrast (PC) were the most common methods. However, limitations such as flow-related artifacts and slow acquisition times, have led to the development of techniques like flow-sensitive dephasing (FSD), balanced steady-state free precession (bSSFP) and quiescent-interval slice-selective (QISS). These methods have shown promise in improving image quality and reducing scan times. NCE-MRA is currently used in clinical practice, particularly for patients with renal insufficiency or contraindications to contrast-enhanced imaging. |
| 9:00 | The Clinical Value of Non-Contrast-Enhanced MRA |
| Ruth Lim | |
Keywords: Cardiovascular: Vascular, Cardiovascular: Angiography Non contrast enhanced MRA (NC MRA) has been available for many years with multiple techniques developed in response to the discovery of Nephrogenic Systemic Fibrosis. When to consider NC MRA will be discussed, including advantages and challenges. Techniques including flow-dependent, flow independent and phase sensitive techniques will be reviewed, as well as where within the body they are best applied. Clinical examples applying these techniques will be discussed. |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Multicontrast MR Vessel Wall Imaging |
| Niranjan Balu | |
Keywords: Cardiovascular: Atherosclerosis This course will discuss the fundamental principles underlying the need for multi-contrast MRI in the context of vessel wall pathology. The target audience is researchers and clinicians who are interested in understanding the basics of vessel wall MRI acquisition, processing and interpretation. As a result of this course, participant will be able to describe the MR sequences specifically used for vessel wall MRI, the interpretation of vessel wall components particularly with reference to atherosclerosis and be able to adapt the protocol and methods to other vessel wall pathologies and different vascular beds. |
| 10:15 | Multiparametric & Multitasking Vessel Wall Imaging |
| Haikun Qi | |
Keywords: Cardiovascular: Vascular Multiparametric and Multitasking Vessel Wall MRI are a set of innovative MRI techniques that are transforming the way of vessel MRI by providing more efficient and motion-robust imaging than traditional methods. These techniques involve advanced MRI sequence design to allow for the acquisition of multiple imaging parameters in a single scan. This presentation will introduce the recent advancements in vascular imaging using multicontrast and multiparametric MRI. Finally, the current challenges for clinical translation and potential solutions will be discussed. |
| 10:40 | 4D Flow of the Aorta |
| Liliana Ma | |
Keywords: Cardiovascular: Hemodynamics, Cardiovascular: Vascular, Cardiovascular: Blood This talk will discuss the application of 4D flow MRI to the aorta. It will cover the acquisition of a 4D flow data set and relevant post-processing steps used to go from raw images to potentially useful data. In addition, qualitative visualization, quantitative analysis, common clinical parameters, as well as advanced analyses will also be discussed. |
| 11:05 | Intracranial 4D Flow |
| Rui Li | |
Keywords: Cardiovascular: Vascular With the technical development and the clinical validation of 4D Flow MRI, it is doable in routine clinical diagnosis with valuable hemodynamic information. |
| 7:45 | Basic Artifacts |
| Martin Graves | |
Keywords: Image acquisition: Artefacts Image artifacts can arise from one or more of the following: MR physics, MR system hardware, and the patient. Given the wide range of possible MR artifacts this presentation will be limited to the main relationships between data corruptions during image acquisition, i.e., in raw data or k-space, and their appearance in the reconstructed image after Fourier transformation. The cause and effect of artifacts including Gibbs ringing, phase encode direction aliasing/foldover, zippers, spikes and motion during image acquisition will be discussed, together with failures in fat suppression and the effect of receiver bandwidth on chemical shift artifact. |
| 8:15 | B0-Related Artifacts |
| Catherine Morgan | |
Keywords: Image acquisition: Artefacts, Physics & Engineering: Physics Inhomogeneity of the main magnetic field, B0, can cause a number of artefacts. In this educational session, causes of B0 inhomogeneity will be described, with a focus on magnetic susceptibility related artefacts. For example at air-tissue interfaces or around metal implants. The effects on different sequences e.g. spin-echo, gradient-echo and echo-planar imaging will be described. Lastly correction strategies for B0 artefacts will be presented, grouped by approach: acquisition, specialised sequences and post-processing. |
| 8:45 | B1-Related Artifacts |
| Laura Schreiber |
| 9:15 | Gradient-Related Artifacts |
| Corey Baron | |
Keywords: Image acquisition: Artefacts This educational session will describe the mechanisms behind artifacts that stem from gradient non-linearity, eddy currents, and concomitant gradient fields. Attendees will learn to identify each type of gradient-related artifact, and will learn about methods to mitigate, correct, or avoid them. Distinction will be made between artifacts stemming from gradients used for contrast generation and gradients used for image encoding. For example, diffusion MRI is especially sensitive to gradient-related artefacts due to the use of extremely large gradient amplitudes to sensitize the signal to diffusion. |
| 9:45 | Break & Meet the Teachers |
| 10:15 | Flow-Related Artifacts |
| Julio Garcia Flores | |
Keywords: Cardiovascular: Blood, Cardiovascular: Hemodynamics, Image acquisition: Artefacts This educational session will introduce most common technique to measure flow. In particular phase-contrast magnetic resonance imaging and its applications. Blood flow acquisition and quantification can be affected by image artifacts from multiple sources. This lecture will discuss the most common sources of artifacts impacting blood flow measurements in 2D and 4D and strategies to correct them. |
| 10:45 | Image Reconstruction Artifacts |
| Gastao Cruz | |
Keywords: Image acquisition: Reconstruction Artifacts arise in MR reconstruction from a variety of sources: the discrete (and band-limited) sampling of the signal, noise amplification, parallel imaging, regularization strategies like compressed sensing, motion, and many others. In this talk we'll look at some of the underlying mechanics that cause these artifacts, and how they can impact clinical images. |
| 11:15 | Tutorial: EPI Distortion Correction |
| Barbara Dymerska | |
Keywords: Image acquisition: Artefacts, Contrast mechanisms: fMRI, Neuro: Brain EPI is sensitive to inhomogeneities in the static magnetic field that arise from the interfaces between tissues with different magnetic susceptibilities. Field inhomogeneities cause geometric distortions in EPI in the phase-encoding direction leading to mislocalization of activation and difficulty coregistering functional results to anatomical scans. We will learn how to correct distortions using a field map calculated from the phase change between images acquired at different echo times. A single field map does not capture dynamic field changes occurring due to motion or respiration. We will thus also expand our capabilities to perform dynamic distortion correction. |
| 11:30 | VitaLenz: A Convolutional Neural Network for the Detection of Magnetic Resonance Imaging Artifacts |
| Brian Johnson | |
Advances in MR acceleration techniques have produced a paradigm shift in MR productivity. In addition, the integration of artificial intelligence offers even more promise to integrate MR workflow and accelerate image acquisition. Recognizing the absence of operator assisted technologies we created VitaLenz, a convolutional neural network, to test the ability of artificial intelligence in detecting common MR imaging artifacts. VitaLenz was able to identify common MR image artifacts with high sensitivity, accuracy, and speed. Creation and use of this type of assistive technology can help ensure image quality and can also lead to faster clinical adoption of newer imaging techniques. |
| 11:40 | MR-safety of mixed-brand of cardiac implantable electronic devices: Comparison of RF induced heating with approved single-brand at 1.5 T and 3.0 T |
| Issei Fukunaga | |
Radio-frequency-induced heating around MR-conditional cardiac implantable electronic devices with mixed brand combinations of generator and lead were compared with the approved single brand combinations at 1.5 T and 3.0 T. The generator-lead combinations were selected from three high-share vendors (Boston Scientific, Medtronic, and St. Jude) based on the frequency in clinical practice. Temperature measurements were conducted along with ASTM2182 and ISO10974 at locations corresponding to the right ventricle, right atrium, the generator edge, and contralateral of in the ASTM phantom. The results evaluated by Mann-Whitney's U-test showed no significant difference in temperature increases between the mixed and approved combinations. |
| 11:50 | Improving the patient experience for paediatrics in Magnetic Resonance Imaging through Play Therapy. |
| Charlotte Swain | |
Play Therapy has been shown to be a successful alternative for children allowing them to have an MRI scan awake instead of with a general anaesthetic. With funding through local hospital charities, a dedicated Play Specialist List runs once a week to scan predominantly 3-13yr olds. With fun and engaging play methods, it has been possible to acquire diagnostic images in 98% of children scanned. With no risk when compared to a general anaesthetic and a more relaxed atmosphere and process, this has vastly improved the patient experience, for not only the children, but also their parents/carers. |
| 11:50 | Efficient fat suppression and motion correction using a Dixon PROPELLER sequence with interleaved echoes and asymmetric readout waveforms |
| Matea Borbas | |
A novel fat/water separated Propeller Dixon sequence is described. Its performance is tested against fatsat. |
| 13:15 | Using Iron Oxides to Track Neuroinflammation |
| Vanessa Wiggermann | |
Keywords: Contrast mechanisms: Contrast agents, Cross-organ: Inflammation, Image acquisition: Quantification Iron oxide nanoparticles are a promising approach to potentially track inflammation in vivo, and could additionally aid in targeted drug delivery and other mechanisms. Their exact properties are governed by their size and shell, providing great versatility in tagging and tracking different cells. Due to their iron-loading, MRI techniques that are sensitive to magnetic susceptibility changes allow to track their location. In this talk, we will provide an introduction to these nanoparticles as contrast agents and discuss MRI-based tracking as well as magnetic particle imaging, a novel approach to quantify cell numbers in vivo. |
| 13:40 | Imaging Blood-Brain Barrier Permeability with Gd |
| Audrey Chagnot |
| 14:05 | Iron Imaging Using QSM, R2* & SWI |
| Sina Straub | |
Keywords: Contrast mechanisms: Susceptibility, Contrast mechanisms: Relaxometry, Neuro: Brain The basics of SWI, QSM and R2* will be introduced along with the contrast mechanisms for iron imaging. Sensitivity, specificity and limitations will be illustrated as well as examples for iron imaging in neurologic disorders. Susceptibility is a measure of how much a material gets magnetized in an external magnetic field. Paramagnetic materials have unpaired electrons and paramagnetism is temperature dependent. QSM differentiates between para- and diamagnetic materials. R2* relaxometry is sensitive to both iron and myelin. QSM and SWI can differentiate MS lesion types. QSM and R2* quantify age- and pathology related iron accumulation in brain nuclei and cortices. |
| 14:30 | Case Study: Active Lesions in MS |
| Susan Gauthier | |
Keywords: Neuro: Brain Chronic CNS inflammation in the MS lesion is maintained with pro-inflammatory microglia at the rim of chronic active MS lesions. The presence of iron-laden microglia found at the rim of a subset of chronic active MS lesions affords a substrate to detect these lesions with gradient echo (GRE) MRI. Utilizing different GRE approaches, studies have confirmed that paramagnetic rims lesions (PRL) are specific for MS and associated with multiple pathological features of the disease. Quantification of the temporal change of inflammation within PRL can be harnessed and potentially utilized to evaluate the impact of treatment. |
| 14:55 | Break & Meet the Teachers |
| 15:20 | Sensitivity of Water Diffusion to Neuroinflammation |
| Ileana Jelescu | |
Keywords: Neuro: Brain, Contrast mechanisms: Diffusion, Cross-organ: Inflammation Diffusion MRI holds great potential to capture inflammatory processes in vivo and non-invasively, as the diffusion of water molecules in the brain is highly sensitive to changes in the microstructure resulting from glial proliferation, cytotoxic or vasogenic edema, demyelination and other cellular processes. Here we describe how various neuroinflammatory processes are expected to affect metrics derived from the diffusion and kurtosis tensors (sensitivity), with examples from both preclinical animal models and clinical human studies. We briefly discuss how biophysical models could disentangle between individual pathological processes (specificity), but emphasize the need for further development and validation of these methods. |
| 15:45 | Sensitivity of Metabolite Diffusion to Neuroinflammation |
| Clemence Ligneul | |
Keywords: Neuro: Brain, Contrast mechanisms: Diffusion, Contrast mechanisms: Spectroscopy Unlike water, some brain metabolites are intracellular and disproportionately concentrated in glia (compared to neurons). Diffusion magnetic resonance spectroscopy (dMRS) allows to measure diffusion properties of metabolites, and therefore provides sensitivity to some morphological features of the compartments/cell-types they diffuse in. For example, diffusion properties of metabolites more importantly concentrated in astrocytes reflect the hypertrophy that reactive astrocytes exhibit. More generally, changes in diffusion properties of “glial markers” often correlate with neuroinflammation. This presentation will introduce the principles of dMRS and show its specific advantages (and challenges) for detecting neuroinflammation. |
| 16:10 | Novel CEST analysis tools: towards easy CEST |
| Xiaolei Song |
| 16:35 | Imaging the Glymphatic System During Neuroinflammation |
| Farshid Sepehrband | |
Keywords: Neuro: Cerebrovascular, Contrast mechanisms: Diffusion, Image acquisition: Image processing The brain waste clearance system plays a critical role in the removal of toxic substrates from the brain to maintain parenchymal homeostasis. Different pathways are hypothesized to explain this complex network of brain clearance. Regardless of the directionality, perivascular spaces are known to act as highways of influx and efflux, facilitating the glia-lymphatic drainage. In this educational talk, we will discuss brain clearance system and ways it can be assessed using neuroimaging techniques. We will then discuss if and how the clearance system may change in the presence of neuroinflammation. |
| 13:15 | Introduction to IMPACT & Impact Statements, Discussion of Impact Statements from MRI Literature |
| Deborah Burstein |
| 13:45 | Small Group Discussions on Impact of Abstracts from Current Meeting |
| 14:30 | Break & Meet the Teachers |
| 15:00 | Impact Statements: Write your own!” |
| 15:15 | Small Working Groups: Developing Impact Statements |
| 15:30 | Readout & Discussion of Impact Statements |
| 13:15 | How to Approach the Post-Treatment Prostate |
| Chan Kyo Kim |
| 13:40 | How to Get the Most from Your MR Machine for Prostate Imaging |
| Moon Hyung Choi | |
Keywords: Body: Pelvis Given the increasing number of prebiopsy prostate MRIs and the changing role of prostate MRI, we would like to discuss ways to obtain images that are helpful for interpretation while maintaining image quality and acquiring them quickly. Compressed sensing (CS) and deep learning-based image reconstruction (DLR) are used to improve the speed and quality of MRI imaging. For diffusion weighted imaging, multi-shot or segmented DWI and calculated high b value DWI images are useful. It is essential to stay updated on new techniques, to get the most out of MRI machines. |
| 14:05 | Artificial Intelligence for the Prostate: What Can It Do & Where Is It Going? |
| Maarten de Rooij | |
Keywords: Body: Urogenital This presentation will highlight the clinical challenges of the diagnostic MRI-driven pathway for prostate cancer and the role that Artificial Intelligence can play to overcome these challenges. In the current literature/clinical practice, AI is mainly used in the interpretation phase of the diagnostic pathway. In the future, AI will also play a role in other stages of this pathway; from the pre-imaging until the patient management stage. |
| 14:30 | What do PSMA & PET Add to the Prostate Game? |
| Ali Pirasteh | |
Keywords: Body: Urogenital, Contrast mechanisms: Molecular imaging Prostate-specific membrane antigen-targeted positron emission tomography (PSMA PET) has made a significant impact on management of patients with prostate cancer. Compared to conventional cross-sectional imaging, PSMA PET provides superior sensitivity for tumor detection in the setting of biochemical recurrence as well as for detection of metastatic disease in those with high-risk disease. PSMA PET is also used to determine eligibility for treatment with radioligand PSMA-directed therapy, which has been demonstrated to improve survival. We will review the added value of PSMA PET in management of patients with prostate cancer and its synergistic role with MRI in this setting. |
| 14:55 | Break & Meet the Teachers |
| 15:20 | MR Approach the Renal Mass: When to Watch, When to Cut & When to Biopsy |
| Refky Nicola | |
Keywords: Body: Kidney, Body: Urogenital, Education Committee: Clinical MRI Discuss: The definition & prevalence of the indeterminate
renal masses (IRM) Review: MRI features of IRM |
| 15:45 | Advances & Practical Applications of MR Functional Imaging of the Kidneys |
| Eric Sigmund | |
Keywords: Body: Kidney, Contrast mechanisms: Microstructure, Contrast mechanisms: Perfusion Renal function and pathology in a wide variety of contexts (healthy filtration, chronic kidney disease, allograft function) can be sensitized and monitored with the wide armamentarium of tools provided by quantitative MRI. These measures probe microstructure (DWI, elastography), microcirculation/hemodynamics (ASL, DCE, PC-MRI), and oxygenation (BOLD), among others. For each of these approaches there have developed both translational efforts of harmonization (to generate standardizable variants to escalate multi-site evidence generation and incorporation into clinical trials), and innovation (to explore and validate each MR contrast and its relationship to tissue function). This talk will briefly summarize these two branches of work. |
| 16:10 | The Adrenals Are Part of the GU Tract, Too: Don’t Forget About Us |
| Anju Sahdev |
| 13:15 | Technical Aspect of Fat Quantification |
| Timothy Bray | |
Keywords: Contrast mechanisms: Fat This talk will give an overview of methods for quantifying fat with MRI. MRI-based methods have emerged as valuable tools for assessing the fat content of tissue in a wide variety of organs and disease states, and can also provide fat-corrected measurements of other tissue characteristics such as relaxation times and diffusion coefficients. The basic principles of quantifying fat with MRI will be discussed, and methods for eliminating bias in fat quantification will be explained. Opportunities for future development including the inclusion of fat quantification within multiparametric acquisitions and the use of deep learning in fat quantification will be considered. |
| 13:45 | Whole-Body Fat Quantification |
| Martin Buechert | |
Keywords: Cross-organ: Obesity, Cross-organ: Tissue characterisation, Image acquisition: Whole body As part of the course MRI Quantification of Fat: Techniques, Challenges & Clinical Implications, this session will focus on whole body fat quantification. An overview of the available modalities will be given before a closer look is taken at whole body fat quantification using magnetic resonance imaging. The second point of view will be from the perspective of different applications including clinical as well as research within epidemiological studies with large data sets. As a complement to the previous technical introductory course, we also consider fat-water MR spectroscopy. It can be used in addition to fat-water imaging for more precise local characterisation of adipose tissue. |
| 14:15 | Organ-Specific Fat Quantification: Liver & Pancreas |
| Ilkay Idilman | |
Keywords: Body: Liver, Cross-organ: Obesity, Cross-organ: Metabolic disease Organ-Specific Fat Quantification: Liver and Pancreas Hepatic steatosis is the abnormal accumulation of triglycerides in the hepatocytes whereas a fatty pancreas is the abnormal pancreatic fat accumulation. Both are shown to be associated with metabolic syndrome, Type 2 diabetes, and cardiovascular diseases. The main approach to quantifying liver and pancreas fat is chemical shift magnetic resonance imaging (MRI) techniques. MRI-proton density fat fraction (MRI-PDFF) is shown to be an excellent diagnostic value for the assessment of hepatic fat content and classification of histologic steatosis grades in non-alcoholic fatty liver disease. |
| 14:45 | Break & Meet the Teachers |
| 15:05 | Organ-Specific Fat Quantification: Epicardium |
| Markus Henningsson | |
Keywords: Cross-organ: Metabolic disease, Cardiovascular: Cardiac metabolism, Contrast mechanisms: Fat Epicardial fat is an early marker of many cardiovascular diseases, in particular atrial fibrillation, coronary artery disease and heart failure with preserved ejection fraction. This presentation will focus on current MRI strategies to assess epicardial fat. I will discuss technical challenges as it relates to imaging epicardial fat and highlight potential avenues for further technical and clinical research. |
| 15:35 | Organ-Specific Fat Quantification: Skeletal Muscle |
| Young Cheol Yoon | |
Keywords: Cross-organ: Tissue characterisation, Musculoskeletal: Muscular, Contrast mechanisms: Fat The accumulation of lipids in skeletal muscle can lead to various health issues. Currently, semiquantitative methods like the Goutallier and Mercuri systems are used to evaluate fatty infiltration, but they have limitations. MRS is more reliable for measuring lipid content, but several factors must be considered during data acquisition. PDFF is an emerging technique that generates fat fraction maps, allowing for direct quantitative measurement of fat proportion. T2*-corrected six-echo Dixon sequences are recommended. PDFF is the most commonly used metric for estimating skeletal muscle quality, and studies have shown its usefulness in various clinical conditions, including sarcopenia and neuromuscular diseases. |
| 16:05 | Strategies for Optimizing the MRI Scanning of the Obese Patient |
| Raul Uppot |
| 16:35 | Panel Discussion |
| 13:15 | Fundamentals of Deep Learning |
| Efrat Shimron | |
Keywords: Image acquisition: Machine learning This educational talk will present core concepts in deep learning, including convolutional neural networks (CNNs), batch-normalization, and loss functions. Next, it will review architectures such as encoder-decoder, GANs, and physics-guided unrolled neural networks. Finally, it will present guidelines for careful design of training databases and discuss caveats of current deep learning techniques. |
| 13:45 | Deep Learning for Protocoling & Radiological Workflows |
| Meiyun Wang | |
Keywords: Education Committee: Clinical MRI With the rapid development of deep learning, its research in the field of MRI continues to deepen, and it has been applied in all aspects of image protocoling and radiological workflows. This lecture summarizes the promoting role of deep learning from three aspects: Image acquisition and reconstruction, Image post-processing and Intelligent clinical services. Finally, it analyzes the challenges of deep learning and provides an outlook on the future development, aiming at providing a reference basis for MRI techniques research and clinical transformation. |
| 14:15 | Supervised Learning for Image Reconstruction and Segmentation |
| Shekhar Chandra | |
Keywords: Image acquisition: Image processing, Image acquisition: Reconstruction, Musculoskeletal: Knee Achieving the successful deployment of image analysis models into clinical practice is challenging because they need to be not only robust (particularly to edge cases), but also meet the time efficiency and software development requirements for productization. This is before any consideration can be made to requirements for regulatory approvals. We will cover our experience in successfully deploying such imaging solutions that incorporate machine learning models and look to the future of deep learning models into clinical practice. |
| 14:45 | Break & Meet the Teachers |
| 15:15 | Untrained Learning for Image Acquisition & Reconstruction |
| Kalina Slavkova | |
Keywords: Image acquisition: Reconstruction, Image acquisition: Machine learning, Image acquisition: Fast imaging Model-based reconstruction via deep learning techniques has shown great promise for reconstructing MR images from highly accelerated acquisition schemes, resulting in substantial scan time reductions. Aside from supervised and self-supervised trained methods that are optimized over large datasets and fast at inference, untrained methods are gaining prominence as a method for image reconstruction in the absence of training datasets. This talk will introduce untrained methods and will focus on their utility for reconstructing multi-contrast MR images in the context of quantitative imaging. |
| 15:45 | Advanced Techniques for Deep MRI: From Vision Transformers to Federated Learning |
| Tolga Cukur | |
Keywords: Image acquisition: Machine learning, Image acquisition: Reconstruction, Image acquisition: Image processing MRI offers an unrivaled opportunity to examine the structure and function of biological tissues. Yet, MRI exams are hindered by limitations on quality and diversity of acquired images due to scan time considerations. Classical approaches to processing of imaging data often fail to address these limitations. In this talk, advanced machine learning techniques that help surpass these fundamental barriers will be discussed. Recent technical developments will be showcased ranging from architectural leaps with the introduction of vision transformers to collaborative leaps with adoption of federated learning frameworks. State-of-the-art results from these techniques indicate a bright future for deep MRI. |
| 16:15 | Application in the Clinic: Predicting Phenotypes, Prognosis & Outcome |
| Greg Zaharchuk |
| 13:15 | Introduction: Parallel Transmit Concepts |
| Sydney Williams | |
Keywords: Physics & Engineering: Pulse design, Physics & Engineering: Hardware, Physics & Engineering: RF Safety This talk introduces parallel transmission (pTx) concepts that will be expanded upon in further speaker presentations during the session. The covered topics include a historical overview and motivation for pTx, multi-transmit radiofrequency (RF) coils, electromagnetic fields (EMFs) and specific absorption rate (SAR), mapping the transmit RF field, $$$B_{1}^{+}$$$, and static and dynamic pTx pulses. |
| 13:45 | Multi-Channel Coil Design & Applications: Neuro |
| Irena Zivkovic | |
Keywords: Physics & Engineering: Hardware, Neuro: Brain, Physics & Engineering: High-Field MRI At clinical fields (1.5T and 3T), volume coils are usually used for excitation and multichannel local surface coils for receiving a signal. At higher fields, volume coils cannot produce homogeneous excitation due to intrinsically shorter wavelength in a tissue which causes constructive and distractive interference effects. For that reason, transmit only or transcieve (both transmit and receive) multichannel arrays are introduced. In those arrays, individual elements can be fed independently where magnitude/phase and RF waveforms can be optimized to produce desired B1+ field. In this talk, we will analyze different coil concepts used as array elements in brain imaging applications. |
| 14:15 | Multi-Channel Coil Design & Applications: Body |
| Alexander Raaijmakers | |
Keywords: Physics & Engineering: Hardware, Physics & Engineering: High-Field MRI, Physics & Engineering: Physics This lecture will focus at coil array development for body imaging at ultrahigh field strengths. Here, the standard clinical transmit coil (birdcage body coil) is not available. A wide range of various coil arrays for body imaging at ultrahigh fields have been developed for various applications. Next to presenting these developments and applications, this lecture will outline design criteria of transmit and receive arrays for body imaging in general. Various coil array concepts that were specifically designed for body imaging at ultrahigh field strengths will be explained in more detail. Finally, also X-nuclei coil array designs will be touched upon. |
| 14:45 | Break & Meet the Teachers |
| 15:05 | SAR & Validation |
| Thomas Fiedler | |
Keywords: Physics & Engineering: RF Safety The introduction of multi-channel parallel transmit (pTx) systems to mitigate RF inhomogeneities in UHF-MRI has significantly increased the safety management complexity and SAR prediction concepts has to be extended to satisfy the new requirements. In pTx systems, the resulting SAR distribution depends on the particular RF pulses (time-dependent amplitude and phase) used in the sequence. This lecture will focus on RF safety in pTx systems and give an overview of: RF monitoring techniques, SAR supervision using Q-matrices and VOPs, safety factors and validation techniques. |
| 15:35 | Pulse Design & Signal Control |
| Xiaoping Wu |
| 16:05 | Universal Pulses |
| Vincent Gras |
| 16:35 | B1 Mapping |
| Martijn Cloos | |
Keywords: Physics & Engineering: Physics, Physics & Engineering: High-Field MRI, Image acquisition: MR Fingerprinting This talk reviews key principles used to map the transmit field ($$$ B_1^+$$$), in Magnetic Resonance Imaging (MRI). After a brief review of the physics that shapes the $$$ B_1^+$$$, we will spend most of our time developing a sense for the challenges associated with $$$ B_1^+$$$ mapping and briefly highlight how some of the more popular solutions in use today deal with these challenges. |
| 13:15 | Our Dream: The 30-Minute Exam |
| Kate Hanneman |
| 13:40 | Challenging Patients & the Need for Rapid Imaging |
| Christine Mancini | |
Keywords: Cardiovascular: Cardiac Cardiac MRI can be challenging in patients for a variety of reasons. Heart rates may be undesirable to obtain information need for the images. Twenty second breath holds may be difficult for a patient to maintain. Body habitus can place the heart in an orientation that will need a larger field of view. Patients with implanted devices may need to be scanned on 1.5T or lower field strength scanners to reduce artifacts. Ideally, image reconstruction should keep pace with the images acquisition. |
| 14:05 | Tricks & Tools for Scanning Fast in the Wild: A Technologist’s Perspective |
| Daniel Arcuri | |
Keywords: Cardiovascular: Cardiac, Cardiovascular: Cardiovascular Technologists face many challenges throughout a Cardiovascular MR (CMR) exam. This talk aims to provide methods to help reduce claustrophobia, reduce scan times while maintaining spatial and temporal resolution without the assistance of AI or denoising algorithms. We will also discuss being creative with workflow strategies to decrease overall exam time. |
| 14:30 | Real-Time CMR Imaging |
| Jana Hutter | |
Keywords: Cardiovascular: Cardiac function, Physics & Engineering: Physics, Image acquisition: Fast imaging In this educational talk, we will discuss real-time cardiac MRI, a non-invasive imaging technique that allows for the visualization of the heart's structure and function in real-time. We will cover the various clinical applications of this imaging modality, such as the assessment of cardiac function, myocardial perfusion, and tissue characterization. Additionally, we will discuss the advantages of real-time cardiac MRI over other imaging techniques and the limitations of the method. The talk aims to provide a comprehensive overview of real-time cardiac MRI, highlighting its potential role in the diagnosis and management of various cardiac diseases. |
| 14:55 | Image Reconstruction: From Compressed Sensing to Machine Learning |
| Thomas Küstner | |
Keywords: Image acquisition: Reconstruction, Image acquisition: Machine learning, Cardiovascular: Cardiovascular Cardiovascular MR (CMR) is a versatile non-invasive imaging that provides a comprehensive assessment of cardiac function and anatomy in a single examination. CMR plays a major role in the diagnosis and management of cardiovascular disease. When setting up and optimizing a clinical CMR protocol, the inherent trade-off between spatial and temporal resolution, scan time and signal-to-noise ratio (SNR) must be taken into consideration. Several approaches have been proposed to speed up CMR, including parallel imaging, k-t accelerated imaging, or pseudo-random sub-Nyquist sampling. An overview of compressed sensing, low-rank and deep learning reconstructions is presented for these accelerated scans. |
| 15:15 | Break & Meet the Teachers |
| 15:35 | Free-Running Multi-Dimensional CMR |
| Liliana Ma | |
Keywords: Cardiovascular: Cardiovascular, Image acquisition: Multiparametric Free-running, multidimensional CMR has gained increasing traction over the last decade. In multi-dimensional CMR, advances in hardware, optimized sampling patterns and reconstruction techniques have come together synergistically into a user-friendly scanning protocol. This talk aims to cover the basics of free-running techniques as well as different approaches to dimensionality. State-of-the-art techniques including 5D MRI, 5D flow MRI, MR fingerprinting, MR multitasking and their cardiac applications will also be briefly covered. |
| 15:55 | Cardiac MR Fingerprinting |
| Jesse Hamilton |
| 16:15 | Machine Learning for Processing CMR Images |
| Julia Schnabel | |
Keywords: Cardiovascular: Cardiac, Image acquisition: Machine learning, Image acquisition: Image processing Cardiac motion artefacts affect further downstream analysis, or even render images unusable for clinical diagnosis. This affects clinical workflow in hospitals and may require patient recall, delaying timely diagnosis and treatment starts. Identifying motion corruption, preferably at time of scanning, or applying retrospective motion correction, would help to alleviate these problems. Cardiac motion artefacts can in principle be detected and corrected for at the time of scanning. This paves the way for online quality control as well as active scanning. |
| 16:35 | Rapid and precise AI CMR analysis for transforming clinical practice |
| Rhodri Davies | |
Keywords: Cardiovascular: Cardiac, Cardiovascular: Cardiac function, Image acquisition: Machine learning Cardiac MR (CMR) is a key investigation in cardiovascular medicine. CMR is the best modality for measuring cardiac structure and function, but it is plagued by the need for a clinician to analyse the images. Clinicians are slow, which introduces a bottleneck, and they are often imprecise, which can impact downstream patient care. AI promises to solve these issues, but clinical translation is challenging, as is appropriate evaluation. I will discuss some clinically meaningful measures of AI performance and describe an inline implementation that allows images to be analysed as they are acquired, delivering AI directly to clinical care. |
| 13:15 | Motion Artifacts |
| Maxim Zaitsev |
| 13:45 | Self-Gating Strategies |
| Ruixi Zhou | |
Keywords: Image acquisition: Motion correction A number of techniques have been proposed to address the motion problem in MRI. One such technique is the self-gating strategy, which attempts to take advantage of MR data itself to deal with motion. This lecture will cover the key concepts in self-gating strategy and how to extract self-gating signals with different sampling patterns. This lecture will especially focus on cardiac applications, where both respiratory and cardiac motion exist, and will also cover the state-of-the-art self-gating techniques when signal intensity is changing during acquisition. |
| 14:15 | Dynamic Imaging Models |
| Sajan Goud Lingala | |
Keywords: Image acquisition: Fast imaging This tutorial will focus on discussing various dynamic imaging models for accelerated imaging. The models will be discussed in a unified perspective. Linear models such as view-sharing, UNFOLD, k-t BLAST,partial separability model (low-rank model) will first be discussed. Non-linear models such as compressed sensing, joint low rank and sparsity based, blind compressed sensing will then be reviewed. Imaging models without the need of explicit deformation estimation to perform motion resolved reconstruction such as extra-dimensional based models , manifold learning models will also be reviewed. Several application examples in free breathing cardiac, real time speech, free breathing liver DCE-MRI will be highlighted. |
| 14:45 | Motion-Specific Image Models |
| Melissa Haskell | |
Keywords: Image acquisition: Modelling, Image acquisition: Motion correction, Image acquisition: Reconstruction This educational lecture covers mathematical models used to describe patient motion, how different models are used for different applications, and connects motion modelling to data acquisition and reconstruction. The talk will begin with an overview of model based image reconstruction (MBIR) assuming no motion. Next, we will cover choices for modeling motion within MBIR, including rigid vs. non-rigid, types of k-space navigators, temporal modeling (intra-image vs. inter-image), and periodic vs. non-periodic motion. The talk will also discuss how each of these choices affect the objective functions, regularizers, and optimization algorithms used in the iterative model-based image reconstruction. |
| 15:05 | Break & Meet the Teachers |
| 15:30 | Handling Motion in Real Time MRI: Signature Matching |
| Ricardo Otazo | |
Keywords: Image acquisition: Fast imaging, Image acquisition: Reconstruction, Image acquisition: Machine learning MR signature matching (MRSIGMA) enables to perform real-time 4D MRI to guide radiotherapy using a combined MR-linac system. MRSIGMA shifts the acquisition and reconstruction burden to a motion learning step, where a 4D motion dictionary of 3D motion states and corresponding motion signatures is learned for each treatment fraction. Once the 4D motion dictionary is learned, fast signature-only acquisition and matching can be performed to minimize imaging latency and obtain 3D images in less than 300ms. The lecture will discuss acquisition, reconstruction and deep learning techniques to implement signature matching for radiotherapy monitoring, adaptation and dose calculation in in real-time. |
| 16:00 | Handling Motion in Real Time MRI: Motion Estimation |
| Alessandro Sbrizzi | |
Keywords: Image acquisition: Fast imaging, Image acquisition: Modelling, Image acquisition: Reconstruction In this lecture, I will sketch the main traits of real-time motion estimation in MRI. After a brief overview of the actual and envisioned applications, I will review the main techniques involved in the acquisition, reconstruction and post-processing steps. These can be subdivided in two categories, namely: indirect methods, where motion is estimated upon registration of images, and direct methods, where motion is reconstructed at once from the k-space data. Recent machine-learning solutions will be reviewed as well. |
| 16:30 | Tutorial: Imaging Motion in Practice |
| Camila Munoz | |
Keywords: Image acquisition: Motion correction, Cardiovascular: Cardiac, Image acquisition: Reconstruction This tutorial will focus on how to implement a framework for retrospective respiratory motion correction in practice. We will focus on whole-heart cardiac MRI and will review the steps required to produce motion compensated images, including key components in the image acquisition sequence to enable measuring respiratory motion directly, alternatives for estimating rigid and non-rigid motion, and ways of including motion information in the image reconstruction process. The talk will demonstrate some challenging cases and the impact of choosing rigid/non-rigid respiratory motion models for a variety of whole-heart applications. |
| 13:30 | Antiretroviral therapy use is associated with ectopic pericardial and paracardiac adipose deposition in people living with HIV |
| Patricia Maishi | |
Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in people living with human immunodeficiency virus (PLHIV). In the general population, increased pericardiac adipose tissue is associated with poor cardiovascular outcomes, but its role in HIV-associated CVD is not well described. Using cardiovascular magnetic resonance (CMR), we report increased pericardial adipose tissue (PAT) and paracardiac adipose tissue (ParaAT) in PLHIV on ART compared to uninfected controls, with untreated PLHIV having an intermediate phenotype. For PLHIV not on ART, myocardial inflammation is associated with more significant impairment in strain and tissue characteristics, but not PAT and ParaAT volume. |
| 17:45 | Mansfield Lecture: Beyond Diagnostics: MR Guides the Way |
| Clare Tempany-Afdhal |
| 5373 | 0:00
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Effects of Diffusion Time and Echo Time Changes of Diffusion MRI on Clinical Brain Neoplasm Diagnosis |
| Masaaki Hori1,2, Tomoko Maekawa2, Kouhei Kamiya1,2, Akifumi Hagiwara2, Koji Kamagata2, and Shigeki Aoki2,3 | ||
1Toho University Omori Medical Center, Tokyo, Japan, 2Radiology, Faculty of Medicine, Juntendo University, Tokyo, Japan, 3Faculty of Health Data Science, Juntendo University, Chiba, Japan |
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Keywords: Tumors, Tumor In this exhibit, we outline the effect of TE shortening on the diffusion-weighted imaging (DWI) in clinical practice and the associated shortening of diffusion time on recent clinical MRI scanner for brain neoplasms diagnosis. In general, shortening the diffusion time reduces the contrast of lesions that show an abnormally high signal on DWI, and the apparent diffusion coefficient values also changes toward a larger value, which may lead the radiologist to err in differential diagnosis or grading of the neoplastic lesions. Therefore, it is important for radiologists to be aware of these effects when diagnosing brain neoplasms. |
| 5374 | 0:00
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Intravoxel incoherent motion diffusion weighted imaging in neuroradiology |
| Ayman Nada1 | ||
1Radiology, University of Missouri, Columbia, MO, United States |
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Keywords: Tumors, Brain This will an educational material for radiologists and radiology trainee on a new model fitting of the diffusion weighted imaging. Clinical translation of the intravoxel incoherent motion DWI is imperative. Its clinical applications are growing. The evaluation of brain tumors, predicting tumor grade, and the evaluation of the treatment outcomes following treatment of brain tumors are important areas for the utility of IVIM. |
| 5375 | 0:00
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Functional MR Spectroscopy - Challenges and Solutions |
| John Port1 | ||
1Mayo Clinic, Rochester, MN, United States |
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Keywords: Psychiatric Disorders, Metabolism, functional MR spectroscopy This educational poster reviews the challenges and issues present when performing functional MR spectroscopy. The poster will briefly review the history of the field, then present a framework for designing high-quality functional MRS experiments. Common artifacts and potential solutions to address them will also be discussed. The poster will conclude by discussing opportunities for developing the field. |
| 5376 | 0:00
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CSF circulation and glymphatic system of the spinal cord: pathophysiology and imaging and treatment of associated diseases |
| Toshio Moritani1 and Shotaro Naganawa1 | ||
1Radiology, The University of Michigan, Ann Arbor, MI, United States |
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Keywords: Neurofluids, Spinal Cord Glymphatic–lymphatic fluid transport system plays a critical role in fluid homeostasis in the spine associated with the CSF flow. Reviewed multiple diseases related to CSF circulation and glymphatic system. Intrathecal drug administration is an effective strategy to bypass the BBB via direct delivery to the CNS, especially in antibody or oligonucleotide-based therapeutics. Glymphatic system has an important role in drug-distribution from CSF to brain and spinal cord. |
| 5377 | 0:00
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Application of Multi-Shot Echo Planar Imaging Diffusion Weighted Imaging of the Skull Base |
| Hedan Luo1, Qingwei Song1, Yanwei Miao1, Haonan Zhang1, Na liu1, Yukun Zhang1, Ailian Liu1, and Liangjie Lin2 | ||
1the First Affiliated Hospital of Dalian Medical University, Danlian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Data Acquisition, Head & Neck/ENT, multi-shot echo planar imaging diffusion weighted imaging; Exploring the performance of Image Reconstruction Using Image-space Sampling (IRIS)-based Multi-shot Echo Planar Imaging Diffusion Weighted imaging (MS-EPI DWI) for the skull base region. |
| 5378 | 0:00
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Imaging Cerebral Inflammation: Translational Findings from Preclinical MRI & 31P MRS |
| Raman Saggu1 | ||
1University of Oxford, Oxford, United Kingdom |
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Keywords: Neuroinflammation, Preclinical Stroke is routinely diagnosed using clinical MRI and MRS, which provide information on tissue pathophysiology and metabolism respectively. However, within such a complex lesion, it is difficult to establish the relative contributions of the ischaemic and inflammatory components on the resulting pathophysiology. It would be useful for clinicians to be able to identify tissue MR signals attributable to cerebral inflammation and discern them from MR signals pertaining to ischaemic injury, facilitating targeted therapeutic strategies.
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| 5379 | 0:00
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What Clinicians Should Know About Preclinical MRI of Neurodegenerative Diseases |
| Raman Saggu1 | ||
1University of Oxford, Oxford, United Kingdom |
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Keywords: Neuroinflammation, Preclinical Clinicians are curious about preclinical MRI and interested in the opportunities that preclinical models of neurodegenerative diseases grant in terms of manipulation and investigating therapeutic strategies. Here, we review the fundamental principles of preclinical neuroimaging that clinicians should be aware of prior to embarking on basic research experimentation.
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| 5380 | 0:00
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DW-MRI B-tensor encoding acquisition and processing on a pre-clinical Bruker scanner. |
| Ricardo Rios-Carrillo1, Alonso Ramirez-Manzanares2, and Luis Concha1 | ||
1Universidad Nacional Autonoma de Mexico, Queretaro, Mexico, 2Centro de Investigacion en Matematicas, A.C., Guanajuato, Mexico |
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Keywords: Diffusion/other diffusion imaging techniques, Diffusion/other diffusion imaging techniques, Pipeline We present how we implemented diffusion weighted B-tensor encoding acquisitions on a preclinical 7 T Bruker scanner using free software shared by the DW-MRI community. We also present an auxiliary free repository that contains helpful tools that facilitate the implementation. This educational poster is intended to aid other users interested in acquiring B-tensor encoded DW-MRI with Bruker scanners. |
| 5381 | 0:00
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Liver Fibrosis Evaluation with MRI- A Primer for Engineers, Physicists, and Technologists |
| Sudhakar K Venkatesh1, Jiahui Li2, Meng Yin1, and Michael S Torbenson3 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Radiology, li.jiahui@mayo.edu, Rochester, MN, United States, 3Pathology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Liver, Elastography, fibrosis Knowledge of the pathophysiology of liver fibrosis (LF) is important to understand the application of MRI techniques in the evaluation of LF. LF is characterized by excessive deposition of extracellular matrix, predominantly in the collagen content that leads to measurable changes in MRI signal and also mechanical properties. In this educational exhibit, we will describe the pathology and evolution of LF in chronic liver diseases. Next, we will describe key concepts that form the basis for several MRI techniques for LF evaluation. An outline of confounders, limitations, current and future applications of the MRI techniques will be provided. |
| 5382 | 0:00
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Artifacts in breast imaging when using SPAIR fat suppression in the presence of large B0 variations |
| Jayant D Sakhardande1, Assim S Eddin2, Timothy J Allen3, Leah C Henze Bancroft4, Roberta M Strigel3,4,5, Su Kim Hsieh2, and James H Holmes1,2,6 | ||
1Biomedical Engineering, University of Iowa, Iowa City, IA, United States, 2Radiology, University of Iowa, Iowa City, IA, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Radiology, University of Wisconsin-Madison, Madison, WI, United States, 5Carbone Cancer Center, Madison, WI, United States, 6Holden Cancer Center, Iowa City, IA, United States |
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Keywords: Breast, Breast, Fat Suppression In this educational presentation we will discuss the impact of B0 field inhomogeneity on fat suppression related artifacts when using adiabatic spectrally selective inversion preparation in the setting of breast MRI setting. |
| 5383 | 0:00
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Proton MRI-based oximetry |
| Cristian Ciobanu1, Jorge Campos Pazmiño1, Véronique Fortier2, and Ives R. Levesque1 | ||
1Medical Physics Unit, McGill University, Montréal, QC, Canada, 2Medical Imaging, McGill University Health Centre, Montréal, QC, Canada |
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Keywords: Oxygenation, Oxygenation, BOLD, OE-MRI, DCE-MRI, TOLD, QSM, relaxometry, MR oximetry, hypoxia We will review 1H MR-oximetry techniques including R1, R2*, DCE, and susceptibility-based techniques. We will present the basic principles behind each technique and the results of representative studies that show the relationship between MR-derived markers and blood and tissue oxygenation or hypoxia. We will also discuss oxygen modulation techniques in animal models and humans, report on trends in 1H MR-based oximetry techniques over the last two decades, and summarize the current state and challenges in the field as a whole. |
| 5384 | 0:00
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Recent advancements in multiparametric MRI methods for the early diagnosis of prostate cancer |
| Durgesh Kumar Dwivedi1 and Naranamangalam R. Jagannathan2 | ||
1Department of Radiodiagnosis, King George Medical University, Lucknow, India, 2Department of Electrical Engineering, Indian Institute Technology Madras, Chennai, India |
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Keywords: Prostate, Prostate, Prostate Cancer, Multiparametric MRI, New MR Sequences This educational abstract will go through the more recent MRI pulse sequences that are being developed for the early detection and better characterization of prostate cancer (PCa). By incorporating cutting-edge multiparametric MR imaging (mpMRI) approaches into the diagnostic workup, it is possible to address current challenges with serum prostate-specific antigen (PSA) level based screening, problems with overdiagnosis with random biopsy, and multifocality of the PCa. Due to high negative predictive value of mpMRI, it not only improves the diagnosis of clinically significant PCa but also aids in lowering the number of unnecessary biopsies. |
| 5385 | 0:00
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Current State and Future Directions of AI Enhanced Radiology Practice for the Development of Screening and Diagnostic Tools |
| Sam Hashemi1, Saqib Basar1, Ahmed Gouda1, Thanh-Duc Nyugen1, Yosef Chodakiewitz2, Sean London2, and Rajpaul Attariwala1 | ||
1Voxelwise Imaging Technology Inc, Vancouver, BC, Canada, 2Prenuvo Inc, Vancouver, BC, Canada |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence The purpose of this educational exhibit is to highlight the importance of the bilateral and evolving relationship between radiologists and Artificial Intelligence experts, and how the coming together of these two fields is ushering in the AI revolution in Radiology and Radiomics. AI methods and tools are helping radiologists perform big data analytics to enhance diagnostic knowledge and capabilities. There is a need for radiologists and AI engineers to collaborate and define the future direction of AI enhanced Radiology practice. |
| 5386 | 0:00
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Workflow for spatial alignment of MR data and histopathological images of tumors for region-of-interest-based correlation analysis |
| Mikael Montelius1, Lukas Lundholm1, Maria Ljungberg1,2, and Eva Forssell-Aronsson1,2 | ||
1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden |
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Keywords: Quantitative Imaging, Validation, histopathology Validation of MRI-derived tumor biomarkers require ground truth validation against histopathology, but pixel-by-pixel spatial alignment with histopathological images pose unresolved challenges. A reasonable approach is to correlate regions-of-interest from MRI with corresponding regions from histopathology. However, clinical protocols for histopathological processing of tissue sections require modifications to preserve spatial information relative to MR images. In this educational exhibit we describe a workflow, based on literature and experience, that enables region-of-interest-based spatial correlation analysis between MRI and histopathological data. |
| 5387 | 0:00
|
Absolute quantification of hepatic 31P metabolites at 3 T using a phantom replacement technique – How to set it up |
| Benedict Korzekwa1,2, Marc Jonuscheit1,2, Yuliya Kupriyanova1,2, Michael Roden1,2,3, and Vera B. Schrauwen-Hinderling1,2,4 | ||
1Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany, 2German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany, 3Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany, 4Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands |
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Keywords: Data Analysis, Spectroscopy, 31P-MRS, Absolute Quantification; Quadrature Coil Phantom replacement techniques for the quantification of absolute concentrations of hepatic phosphorous metabolites are an established tool for studying energy metabolism in vivo. However, many consideration need to be taken into account. Here, we present how to correct localized in vivo 31P-MRS data in order to report molar concentrations of ATP and inorganic phosphate and how to set up the experiments for obtaining the required correction factors. Correction factors include T1 correction, coil loading, excitation pulse profile as well as B1 inhomogeneity of the surface coil in all three spatial directions. |
| 5388 | 0:00
|
A Primer on Blockchain in Radiology — Data Ownership and Beyond |
| Muhammad Ammar Haider1, Mariam Aboian 2, Ichiro Ikuta3, Sara Merkaj1, and Maguy Farhat1 | ||
1Yale School of Medicine, New Haven, CT, United States, 2Yale University, New Haven, CT, United States, 3Mayo Clinic Arizona, Phoenix, AZ, United States |
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Keywords: Data Processing, Machine Learning/Artificial Intelligence, Data Security, Data Ownership, Technology Cryptocurrency may be volatile, but the technology behind it is here to stay! Blockchain has the potential to impact our work and to change the way we own, store, use or interact with imaging data altogether. Blockchain, essentially, trumps the traditional data solutions and is thus, the future of imaging databases. By achieving the perfect balance between data security and data sharing, it unlocks myriad of opportunities to advance patient care, improve our work ethic and bolster our research. Our work hopes to inspire you to experiment with any of the many applications we mention in our educational exhibit! |
| 5389 | 0:00
|
Radiomics analysis in the era of quantitative imaging |
| Philip Kyeremeh Jnr Oppong1, Jincheng Wang1, and Khin Khin Tha1,2 | ||
1Laboratory for Biomarker Imaging Science, Graduate School of Biomedical Science and Engineering, Hokkaido University, Sapporo, Japan, 2Global Center for Biomedical Science and Engineering, Faculty of Medicine,, Hokkaido University, Sapporo, Japan |
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Keywords: Radiomics, Quantitative Imaging, Imaging analysis, feature extraction, predictive radiomics Quantitative magnetic resonance imaging extends beyond qualitative MRI by combining both image graphics and mathematically measured intrinsic image features to determine tissue characteristics, development, pathology, etc. While MRI has practically been qualitative both in the imaging process and interpretation, quantitative image analysis involving the mapping of numerical tissue properties with nominal values obtained from healthy cohorts has proven to add extra information to MRI images. In this educational review we discuss the rapidly evolving field of radiomics in quantitative MRI imaging. Particular emphasis is laid on development of radiomic models for MR image analysis, validation strategies and anticipated future trends. |
| 7:00 | Clinical application of multimodal MRI in diffuse gliomas |
| Qiang Yue |
| 7:30 | Mapping the Microenvironment of Tumors |
| Shanshan Jiang |
| 7:00 | Exposing Vaping-Associated Lung Injury |
| Mark Schiebler |
| 7:30 | Hyperpolarized Gas MRI helps explain long-covid |
| Grace Parraga |
| 7:00 | Tissue Stiffness: MR Elastography: Theory |
| Yuan Feng |
| 7:30 | Tissue Stiffness: MR Elastography: Case Study/Application |
| Lauriane Jugé |
| 7:00 | What are the current challenges with qualitative musculoskeletal magnetic resonance imaging? |
| Marcelo Zibetti |
| 7:20 | What Benefits can Quantitative MRI offer to MSK Imaging? |
| Vladimir Juras |
| 7:40 | Update of RSNA QIBA MSK qMRI efforts |
| Thomas Link |
| 7:00 | Biophysical Origins of the fMRI Signal |
| Kamil Uludag |
| 7:30 | Biophysical Modeling of the fMRI signals |
| Jonathan Polimeni |
| 7:00 | Getting It Done: Project Management for Scientific Research |
| Andrew Webb |
| 7:30 | How To Do Everything with Rising Costs & 80% of the Budget |
| Richard Wise |
| 7:00 | 2D, 3D, 4D, ... ND Cardiac Function |
| Li Feng |
| 7:30 | Cardiac Strain Quantification |
| Daniel Ennis |
| 7:00 | Arterial Spin Labeling: Acquisition |
| Lirong Yan |
| 7:30 | Arterial Spin Labeling: Modeling |
| Andre Paschoal |
8:15
|
Imaging of the Brachial Plexus: Clinical Needs & Challenges | |
| Shivani Ahlawat1 | ||
1Johns Hopkins University, Baltimore, MD, United States |
8:45
|
Imaging of the Brachial Plexus: Technical Challenges & Emerging Techniques | |
| Darryl Sneag1 | ||
1Hospital for Special Surgery, United States |
8:15
|
Coronary in the Coal Mine: Perfusion-Related Chest Pain | |
| Andreas Schuster1 | ||
1Department of Cardiology, University Medicine Göttingen, Göttingen, Germany |
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Keywords: Cardiovascular: Myocardium, Contrast mechanisms: Perfusion While acute coronary syndrome (ACS) continues to be subject of invasive coronary angiography the diagnosis and management of chronic coronary syndrome (CCS) largely depends on non-invasive imaging of myocardial ischaemia and viability. Since cardiovascular MRI has repeatedly demonstrated high accuracy for the diagnosis and prognostication of CCS it has received a class I guideline recommendation (highest level). It should therefore be preferred over invasive angiography for CCS. This presentation will touch on the underlying physiology of myocardial ischaemia, address basic measurement principles including novel strategies and discuss them in the context of current guidelines with an emphasis on prognostic implications. |
8:45
|
MR Techniques for Quantifying Myocardial Perfusion | |
| Teresa M Correia1,2 | ||
1Center of Marine Sciences - CCMAR, Faro, Portugal, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Keywords: Contrast mechanisms: Perfusion, Cardiovascular: Cardiac, Image acquisition: Quantification Myocardial perfusion imaging is an essential tool for characterising ischemic heart disease. Moreover, quantitative myocardial perfusion methods that provide pixel-wise quantitative myocardial perfusion maps are increasingly being applied as an alternative to visual inspection. Newer methods combine quantitative imaging with acceleration techniques and motion compensation to overcome current limitations of the technique, and thus, improve spatial resolution and heart coverage, reduce image degradation due to motion and accurately detect perfusion defects. In addition, fully automated workflows are facilitating the integration of quantitative myocardial perfusion into clinical practice by making it faster and easier to use. |
9:15
|
Achy Braky Heart: Non-Coronary Cause of Chest Pain | |
| Bettina Baeßler1 | ||
1University Hospital Wurzburg, Germany |
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Keywords: Cardiovascular: Cardiac, Cardiovascular: Myocardium, Cardiovascular: Valves Chest pain can have many different causes. Besides acute and stable coronary syndromes, a variety of differentials exist when it comes to non-coronary cardiac chest pain. MRI can provide detailed images of the heart and surrounding structures, allowing for the identification of abnormalities that may contribute to chest pain. By utilizing advanced imaging techniques, MRI can detect inflammation, valve disease, and other potential causes of chest pain. The presentation will emphasize the value of MRI as a non-invasive and comprehensive tool in assessing patients with cardiac chest pain, potentially reducing the need for invasive procedures and improving patient outcomes. |
9:45
|
MR Methods for Myocardial Parameter Mapping | |
| Chiara Coletti1 | ||
1Delft University of Technology, Netherlands |
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Keywords: Cardiovascular: Cardiac, Contrast mechanisms: Relaxometry, Image acquisition: Quantification Myocardial parametric mapping has expanded the diagnostic potential of CMR for a wide range of cardiovascular diseases. While conventional tissue characterization techniques rely on relative variations in signal intensity to detect abnormalities, parametric mapping provides pixel-wise quantification of relaxation times on absolute scales. This enables the characterization of non-focal cardiomyopathies, as well as intra/inter-subject analysis. T1, T2 and ECV mapping sequences are routinely used in clinical protocols, and new biomarkers are emerging to avoid using contrast agents. Solving challenges like long scan time, susceptibility to artifacts and lack of standardization is essential to promote their application in clinical practice. |
| 0001 | 8:15
|
Pulmonary MRI & Cluster Analysis Help Identify Novel Asthma Phenotypes |
| Rachel L. Eddy1,2, Marrissa J McIntosh3, Alexander M Matheson3, David G McCormack4, Christopher Licskai4, and Grace Parraga5 | ||
1Centre for Heart Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, BC, Canada, 2Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 3Robarts Research Institute, Department of Medical Biophysics, Western University, London, ON, Canada, 4Division of Respirology, Department of Medicine, Western University, London, ON, Canada, 5Robarts Research Institute, Department of Medical Biophysics; Division of Respirology, Department of Medicine, Western University, London, ON, Canada |
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Keywords: YIA, Lung Pulmonary functional MRI measurements have never been evaluated for the generation of imaging-based asthma patient clusters, although computed tomography (CT)-based clusters have been determined. Here we investigated hyperpolarized 129XeMRI ventilation in combination with CT airway measurements in 45 patients with asthma and identified 4 phenotypic clusters with distinct structure-function and clinical characteristics. Our results revealed a novel cluster of patients only distinguished by MRI ventilation measurements, underscoring the utility of MRI to discriminate airway pathologies in asthma. Imaging-based clusters of asthma provide novel structure-function insights that may be exploited in future studies and challenge current clinical paradigms for asthma phenotyping. |
| 0002 | 8:30
|
Fast Spin Echo Approach for Accelerated B1-gradient Based MRI |
| Taylor Froelich1, Lance DelaBarre1, Paul Wang2, Jerahmie Radder1, Efrain Torres2, and Michael Garwood2 | ||
1Center for Magnetic Resonance Research & Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research & Department of Radiology; Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States |
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Keywords: YIA, Gradients Recent efforts to expand access to MRI have focused on low-cost, portable MRI systems that eliminate pulsed B0 gradients in favor of radio-frequency imaging techniques. In this work we present a new multi-echo version of FREE (Frequency-modulated Rabi Encoded Echoes) that utilizes nonlinear B1+ gradients to perform spatial encoding. This new technique leverages the acceleration of conventional FSE approaches and nonlinear gradients to eliminate the need for conventional B0 gradients while also achieving very high spatial resolution. |
| 0003 | 8:45
|
Automated MR Image Prescription of the Liver using Deep Learning: Development, Evaluation & Prospective Implementation |
| Ruiqi Geng1, Collin J. Buelo1, Mahalakshmi Sundaresan2, Jitka Starekova3, Nikolaos Panagiotopoulos3,4, Thekla Helene Oechtering3,4, Edward M. Lawrence3, Marcin Ignaciuk3, Scott B Reeder5, and Diego Hernando6 | ||
1Departments of Medical Physics, Radiology, University of Wisconsin, Madison, Madison, WI, United States, 2Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Madison, WI, United States, 3Department of Radiology, University of Wisconsin, Madison, Madison, WI, United States, 4Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 5Departments of Medical Physics, Radiology, Medicine, Emergency Medicine, Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, United States, 6Departments of Medical Physics, Radiology, Electrical and Computer Engineering, Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, United States |
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Keywords: YIA, Liver This work developed a novel automated AI-based method for liver image prescription from a localizer and evaluated it in a large retrospective patient cohort (1,039 patients for training/testing), across pathologies, field strengths, and against radiologists’ inter-reader reproducibility performance. AI-based 3D axial prescription achieved a S/I shift of <2.3 cm compared to manual prescription for 99.5% of test dataset. The AI method performed well across all sub-cohorts and better in 3D axial prescription than radiologists’ inter-reader reproducibility performance. We successfully implemented the AI method on a clinical MR system, which demonstrated robust performance across localizer sequences. |
| 0004 | 9:00
|
Measurement of Magnetostimulation Thresholds in the Porcine Heart |
| Valerie Klein1,2,3, Jaume Coll-Font2,3,4, Livia Vendramini2, Donald Staney2, Mathias Davids2,3, Natalie G. Ferris2,5, Lothar R. Schad1,6, David E. Sosnovik2,3,4,5, Christopher Nguyen7,8,9, Lawrence L Wald2,3,5, and Bastien Guérin2,3 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Charlestown, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 6Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany, 7Cardiovascular Innovation Research Center, Heart Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, 8Department of Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 9Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: YIA, Heart High-amplitude gradient systems can surpass the IEC regulatory limit for cardiac stimulation (CS), which is based on animal electrostimulation data and simplified electromagnetic modeling. We assess CS in MRI by performing the first cardiac magnetostimulation threshold measurements in pigs, the primary animal model of the human cardiovascular system. We use the measurements to validate a detailed CS modeling pipeline applicable to both pigs and humans. Experimental thresholds and predictions in porcine-specific models agree within 19% NRMSE. CS modeling in a detailed human body model indicates that CS thresholds of the Connectome gradient are ~25-fold greater than the IEC CS limit. |
| 0005 | 9:15
|
Whole-Abdomen Metabolic Imaging of Health Volunteers Using Hyperpolarized [1-13C]pyruvate MRI |
| Philip Meng-en Lee1, Hsin-Yu Chen2, Jeremy W. Gordon2, Zhen J Wang2, Robert Bok2, Ralph Hashoian3, Yaewon Kim2, Xiaoxi Liu2, Tanner Nickles1, Kiersten Cheung2, Francesca De Las Alas2, Heather Daniel2, Peder EZ Larson1, Cornelius von Morze4, Daniel B Vigneron1, and Michael A Ohliger2,5 | ||
1UC Berkeley-UCSF Graduate Program in Bioengineering; Dept. of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 3Clinical MR Solutions, Brookfield, WI, United States, 4Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 5Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, United States |
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Keywords: YIA, Hyperpolarized MR (Non-Gas), Body - Liver Whole-abdomen imaging with hyperpolarized 13C is challenging due to B0 and B1 inhomogeneities, respiratory motion, and broad spatial coverage. There is also little baseline data about healthy metabolism in abdominal organs. We developed and describe here a reliable imaging method to overcome these challenges, enabling metabolic imaging of the entire abdomen in a series of healthy volunteers. We present observed conversation rates of HP [1-13C]pyruvate to lactate and alanine in key organs such as the liver, kidneys, pancreas, and spleen. Methods established here set a firm foundation for investigating a broad spectrum of metabolic and neoplastic abnormalities in the liver. |
| 0006 | 9:30
|
Predicting the Onset of Ischemic Stroke with Fast High-Resolution 3D MR Spectroscopic Imaging |
| Zengping Lin1, Ziyu Meng1, Tianyao Wang2, Rong Guo3,4, Yibo Zhao3,5, Yudu Li3,5, Bin Bo1, Yue Guan1, Jun Liu2, Hong Zhou6, Xin Yu7, David J Lin8, Zhi-Pei Liang3,5, Parashkev Nachev9, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, 3Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Siemens Medical Solutions USA, Inc, Urbana, IL, United States, 5Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Department of Radiology, The First Affiliated Hospital of South China of University, South China of University, Hengyang, China, 7Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 8Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 9Institute of Neurology, University College London, London, United Kingdom |
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Keywords: YIA, Ischemia Neurometabolite concentrations provide a direct index of infarct progression in stroke, but their relationship with stroke onset time remains unclear. Using a fast high-resolution 3D MRSI technique, this study assessed the temporal dynamics of N-acetylaspartate (NAA), creatine, choline, and lactate and estimated their value in predicting early (<6 hours) vs late (6–24 hours) hyperacute ischemic stroke groups. We found that lesional NAA and creatine was reduced from acute to subacute stroke patients and NAA level was inversely related to onset time in hyperacute patients. The changes in neurometabolite levels provided good discrimination between patients for early & late hyperacute time windows. |
| 0007 | 9:45
|
Submillimeter T1 Atlas for Subject-Specific Abnormality Detection at 7T |
| Gian Franco Piredda1,2,3, Samuele Caneschi1, Tom Hilbert1,4,5, Gabriele Bonanno1,6,7, Arun Joseph1,6,7, Karl Egger8, Jessica Peter9, Stefan Klöppel9, Elisabeth Jehli10,11, Matthias Grieder10, Johannes Slotboom12, David Seiffge13, Martina Goeldlin13, Robert Hoepner13, Tom Willems14, Serge Vulliemoz15, Margitta Seeck15, Punith B. Venkategowda16, Ricardo A. Corredor Jerez1,4,5, Bénédicte Maréchal1,4,5, Jean-Philippe Thiran4,5, Roland Weist6,12, Tobias Kober1,4,5, and Piotr Radojewski6,12 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland, 3CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 7Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 8Department of Neuroradiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 9University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland, 10Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland, 11Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland, 12Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland, 13Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland, 14Institute of Psychology, University of Bern, Geneva, Switzerland, 15EEG & Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals & Faculty of Medicine, Geneva, Switzerland, 16Siemens Healthcare Pvt. Ltd., Bangalore, India |
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Keywords: YIA, Tissue Characterization, Acquisition & Analysis, Quantitative Imaging, Ultra-high field MRI Databases of normative values from healthy tissues are needed to leverage the improved comparability and hardware independence of quantitative MRI, and thus enable patient-specific detection of abnormalities in visual interpretation. Here, we present normative atlases of T1 relaxation times in the brain at 3T (1 mm isotropic) and 7T (0.6 mm isotropic) from two large cohorts of healthy subjects. The atlases were tested in single‐subject comparisons for detection of abnormal relaxation times in patients scanned at both field strengths. The presented detection of subtle alterations not visible in conventional MRI showed the clinical potential of the method. |
| 0008 | 10:00
|
Quantification of Blood-Brain Barrier Water Exchange & Permeability with Multi-Delay Diffusion Weighted pCASL |
| Xingfeng Shao1, Chenyang Zhao1, Qinyang Shou1, Keith S St Lawrence2,3, and Danny JJ Wang1 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Lawson Health Research Institute, London, ON, Canada, 3Department of Medical Biophysics, Western University, London, ON, Canada |
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Keywords: YIA, Diffusion/other diffusion imaging techniques, Blood-brain barrier, water exchange, diffusion weighted perfusion imaging We developed an innovate pulse sequence and acquired diffusion weighted pCASL signals from a wide range of PLDs with improved SNR and spatial resolution. A 3-compartment single-pass approximation (SPA) model, which includes an additional venous compartment, was proposed to capture the full dynamics of the labeled blood bolus passing through capillaries while exchanging into tissue space before flowing into venules, and a LRL method was proposed for individual kw quantification. |
| 0009
|
8:15
|
Deuterium Metabolic Imaging (DMI) for 3D Mapping of Glucose Metabolism in Humans with Central Nervous System Lesions at 3T |
| Philip M. Adamson1, Keshav Datta2, Ron Watkins2, Lawrence Recht3, Ralph Hurd2, and Daniel Spielman2 | ||
1Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States, 2Department of Radiology, Stanford University, Palo Alto, CA, United States, 3Department of Neurology, Stanford University, Palo Alto, CA, United States |
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Keywords: Deuterium, Deuterium DMI is an emerging modality for investigating glucose metabolism in vivo with application for assessing the Warburg effect in tumors. Although high-field systems, e.g. 7T, provide maximal signal-to-noise ratio (SNR), implementation on widely available 3T scanners could have immediate clinical impact. Here we explore the potential of 3T DMI using a birdcage 2H RF coil in two healthy volunteers and three patients with CNS lesions of varying pathology. Results from these experiments demonstrate the potential to examine the Warburg effect in CNS lesions with DMI at 3T and provide critical data needed to explore DMI SNR and spatial resolution limits. |
| 0010
|
8:23
|
In Vivo Assessment of β-Hydroxybutyrate Metabolism in Mouse Brain Using Deuterium (2H) Magnetic Resonance Spectroscopy |
| Narayan Datt Soni1, Anshuman Swain1, Paul Jacobs1, Halvor Juul1, Ryan Armbruster1, Ravi Prakash Reddy Nanga1, Kavindra Nath1, Corinde Wiers2, John Detre3, and Ravinder Reddy1 | ||
1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Spectroscopy, Deuterium, , 2H-MRS, Brain, TCA, Metabolism Impaired neurometabolism is often attributed to altered TCA flux (VTCA). Since, β-hydroxybutyrate metabolism bypasses glycolytic flux, it can be better used to monitor VTCA. In the current study, [3,4,4,4]-2H4-β-hydroxybutyrate was infused in 6-month-old mice, and the level of [4,4]-2H2-Glx was monitored using 2H-MRS. A kinetic model was fitted to determine the rate of BHB metabolism (CMRBHB) and VTCA. Glx labeling followed a sigmoidal curve to reach a quasi-steady state concentration (~1.6±0.1 mM) in 30 minutes. CMRBHB and VTCA were determined to be 0.054±0.004 and 0.12±0.01 µM/g/min. In conclusion, this method can be used to monitor neurometabolism in health and disease. |
| 0011
|
8:31
|
Reproducibility of non-invasive 3D imaging of glucose downstream metabolism using deuterium labeling: indirect 1H QELT at 3T vs direct 2H DMI at 7T |
| Fabian Niess1, Lukas Hingerl1, Bernhard Strasser1, Petr Bednarik2,3, Dario Goranovic1, Eva Niess1, Stanislav Motyka1, Gilbert Hangel1,4, Martin Krssak5, Benjamin Spurny-Dworak6, Thomas Scherer5, Rupert Lanzenberger6, and Wolfgang Bogner1 | ||
1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Centre for Functional and Diagnostic Imaging and Research, Danish Research Centre for Magnetic Resonance, Copenhagen, Denmark, 3Department of Radiology, University Hospital Amager and Hvidovre, Copenhagen, Denmark, 4Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 5Department of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria, 6Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria |
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Keywords: Deuterium, Brain Deuterium metabolic imaging (DMI) and quantitative exchange label turnover (QELT) are emerging MR techniques to non-invasively map brain glucose uptake and downstream metabolism using safe and affordable deuterium labeled glucose as tracer. This work compares dynamically detected deuterium labeled Glutamate+Glutamine time courses between three-dimensional 3T-1H QELT-MRSI and 7T-2H-DMI using quantification of concentration estimates. Comparable enrichment of deuterated Glx could be observed in gray matter (1.59±0.24mM vs. 1.39±0.17mM) while differences were found in WM (0.89±0.32 mM vs. 1.31±0.2 mM) presumably due to partial volume contamination. Results showed a successful translation of QELT to clinical 3T. |
| 0012 | 8:39
|
Evaluation of minimal dosage of deuterated glucose for mapping of hepatic metabolism by DMI and natural abundance carbon-13 spectroscopy at 7 T |
| Simone Poli1,2, Ahmed F. Emara3, Edona Ballabani3, Naomi F. Lange4,5, Andreas Melmer3, David Herzig3, Luc Tappy3, Lia Bally3, and Roland Kreis1,2 | ||
1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, Sitem-insel, Bern, Switzerland, 3Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism UDEM, Inselspital, University Hospital Bern, Bern, Switzerland, 4Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 5Graduate School for Health Sciences, University of Bern, Bern, Switzerland |
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Keywords: Deuterium, Metabolism We present an estimation of the minimal dose for D-glucose needed for evaluation of hepatic glucose dynamics by deuterium metabolic imaging (DMI) and investigate whether a subsequent change in hepatic glycogen content is observable by 13C-MRS at 7 T. Six healthy subjects received an oral glucose load of 60g, 20g or 10g and were examined with interleaved 2H-MRSI/13C-MRS scans for 150 min. Results suggest the feasibility of reducing D-glucose loads to as low as 10g per subject for hepatic DMI with several benefits ‑ including cost, but precision of determination of changes in hepatic glycogen content is substantially reduced. |
| 0013 | 8:47
|
Expanding interleaved MRI-DMI to 3D SWI (Susceptibility Weighted Imaging) : A truncated acquisition approach |
| Yanning Liu1, Zachary Corbin1, Robert K. Fulbright1, Terry W. Nixon1, Scott McIntyre1, Henk De Feyter1, and Robin A. de Graaf1 | ||
1Yale University, New Haven, CT, United States |
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Keywords: Deuterium, Deuterium, DMI Interleaved MRI-DMI (Deuterium Metabolic Imaging) is a transformative approach to obtain multi-contrast anatomic MRI and metabolic information in parallel with time efficiency. In this work, we expand the toolkit of interleaving 2H DMI with 1H MRI, by using a newly developed interleaved 3D SWI-DMI sequence that relies on acquiring a truncated 2H signal. Acknowledging the limitations of fitting truncated 2H signals independently, we propose a method to combine truncated FID with fully-sampled acquisitions to improve DMI sensitivity. The updated interleaved MRI-DMI protocol with 3D SWI-DMI was demonstrated on a patient with a brain tumor. |
| 0014 | 8:55
|
Functional Study of Glucose Consumption, TCA Cycle Activity and Lactate Production in Healthy Human Brain Using Dynamic 2H MRS Imaging at 7T |
| Xiao-Hong Zhu1, Wei Zhu1, Hannes M Wiesner1, Yudu Li2,3, Tao Wang1, Zhi-Pei Liang2,4, and Wei Chen1 | ||
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Deuterium, fMRI, Functional deuterium metabolic imaging The relationship of total glucose consumption, TCA cycle and glycolysis in healthy human brain under resting and activated conditions has not been well studied due to the lack of effective neuroimaging tools. The recently developed dynamic deuterium metabolic imaging method provides a long desired capability for such studies. Here, we present the first functional deuterium imaging study in human brains during hemi-field visual stimulation at 7T. Our results provide new insights into the metabolic shifting between oxidative phosphorylation and aerobic glycolysis from the rest to activated state in supporting high energy demand of evoked activity in human visual cortex. |
| 0015 | 9:03
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Comparison of deuterium metabolic imaging measurements in human subjects at 7T following [2H2] glucose and [2H7] glucose ingestion |
| Daniel Cocking1,2, Robin Damion1,3,4, Elizabeth Simpson3, Paul Greenhaff3,5,6, Louise Dexter1,2, Dorothee Auer1,3,4, and Richard Bowtell1,2,3 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research Facilities, Queen's Medical Centre, Nottingham, United Kingdom, 4Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 5MRC-Versus Arthritis Centre for Muscoskeletal Ageing Research, University of Nottingham, Nottingham, United Kingdom, 6School of Life Sciences, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Deuterium, Deuterium We compared the use of DMI following D2-glucose and D7-glucose ingestion in the investigation of brain metabolism in vivo. Multiple CSI measurements were acquired from five participants over ~180 minutes at 7T following ingestion of each labelled compound. D7-glucose produced significantly larger signals allowing improved mapping of the signals from labelled metabolites. Calculated time-courses of the changes in metabolite concentration in different brain tissues show significantly larger rates of increase of HDO and Glx in all tissues for D7- versus D2-glucose (e.g. in GM HDO rate of increase for D7/D2 = 0.208±0.004/0.051±0.001 mM/min and Glx rate for D7/D2 = 0.059±0.003/0.029±0.001 mM/min). |
| 0016 | 9:11
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Improved Deuterium Metabolic Imaging of Cancer by CSI-SSFP MRSI |
| Elton Montrazi1, Dana Peters2, Keren Sasson1, Lilach Agemy1, Avigdor Scherz1, and Lucio Frydman1 | ||
1Weizmann, Rehovot, Israel, 2Yale School of Medicine, New Haven, CT, United States |
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Keywords: Deuterium, Cancer, MRSI Deuterium metabolic imaging (DMI) is a promising tool for studying tumor metabolism. In DMI [6,6’-2H2]-glucose is uptaken by tumors, leading to the formation of HDO and of [3,3’-2H2]-lactate as result of Warburg effect. DMI’s biggest challenge is SNR, consequence of 2H’s low Larmor frequency and the low concentrations of the targets. Depending on the type and size of the tumor, this can bring the key lactate signal below the noise level. This work explores weighted chemical shift imaging (CSI) methodologies for DMI based on SSFP sequences, providing improved lactate sensitivity over recently discussed CSI and multi-echo (ME) SSFP approaches. |
| 0017 | 9:19
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Exploring glucose metabolic impairment in Alzheimer’s Disease with DMI using [6,6′-2H2]-D-glucose and [2,2’-2H2]-deoxy-D-glucose at 14.1T |
| Xiao Gao1, Jeremy Gordon2, Kai Qiao2, Hecong Qin2, David Wilson2, and Myriam M Chaumeil2 | ||
1Physical Therapy, UCSF, San Francisco, CA, United States, 2UCSF, San Francisco, CA, United States |
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Keywords: Deuterium, Alzheimer's Disease We performed a deuterium metabolic imaging (DMI) investigation of two deuterated probes with different metabolic properties: 1) the glucose analog [2,2’-2H2]-deoxy-D-glucose ([2H2]2DG) which gets intracellularly trapped after being phosphorylated by hexokinase; and 2) [6,6′-2H2]-D-glucose ([2H2]Glc) which undergoes full oxidative catabolism. We tested their potential to detect metabolic impairment in a mouse model of Alzheimer’s disease. Our results demonstrated that the accumulation / metabolism of these two glucose derivatives can be detected dynamically in the mouse brain, and that DMI can detect disrupted glucose metabolism in an AD model. |
| 0018 | 9:27
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Imaging choline phospholipid biosynthesis in gliomas using deuterium magnetic resonance spectroscopy |
| Celine Taglang1, Georgios Batsios1, Anne-Marie Gillespie1, and Pavithra Viswanath1 | ||
1Radiology and Biomedical imaging, University of California San Francisco, San Francisco, CA, United States |
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Keywords: Deuterium, Cancer Aberrant choline phospholipid biosynthesis is a metabolic hallmark of cancer. Choline kinase α (CKα) is the key enzyme in this pathway. Non-invasive methods of imaging CKα have the potential to report on tumor proliferation. Here, using a combination of RNA interference and doxycycline-inducible gene silencing systems, we show that deuterium magnetic resonance spectroscopy following administration of [2H9]-choline non-invasively reports on CKα activity in patient-derived glioma cells and intracranial tumors. Importantly, [2H9]-choline provides an early readout of response to chemotherapy in mice bearing intracranial gliomas. Our studies identify a novel agent for metabolic imaging of gliomas and their response to therapy. |
| 0019 | 9:35
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Determining the minimum injected [2,3-2H2]fumarate concentration required for deuterium metabolic imaging of tumor cell death post-treatment |
| Friederike Hesse1,2, Flaviu Bulat1,3, Felix Kreis1, and Kevin M. Brindle1,4 | ||
1CRUK CI, University of Cambridge, Cambridge, United Kingdom, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Department of Chemistry, University of Cambridge, Cambridge, United Kingdom, 4Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom |
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Keywords: Deuterium, Molecular Imaging 2H MRI measurements of labeled malate production following intravenous injection of 2H-labeled fumarate (1 g/kg) have been used to detect tumor cell death post-treatment in pre-clinical tumor models. We show here that much lower concentrations of 2H-labeled fumarate (0.1, 0.3 and 0.5 g/kg) can still generate a significant increase in malate concentration post-treatment, which should facilitate clinical translation. Mice were implanted subcutaneously with a triple-negative breast cancer model (MDA-MB-231) and treated with three different concentrations of a TRAIL-R2 agonist (MEDI3039). The different degrees of cell death obtained were linearly correlated with the malate/fumarate signal ratio and the absolute malate concentration. |
| 0020 | 9:43
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Improved 23Na Multi-Quantum Coherences MRI with simultaneous Cartesian Double-Half-Echo Sodium readouts |
| Christian Licht1, Jascha Zapp1, Mark Bydder2, Maxime Guye2, Lothar R. Schad1, and Stanislas Rapacchi2 | ||
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2CRMBM, Aix-Marseille Université, Marseille, France |
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Keywords: Non-Proton, Multi-Contrast, Sodium Sodium (23Na) MRI has received increased attention as a potential biomarker for disease states thanks to the advent of high and ultra-high field MRI. One asset from 23Na MRI is the distinction between single and triple quantum signal to provide new insights in tissue characterization. Hence, efficient sequences are needed that enable simultaneous 23Na and 23Na multi-quantum-coherences imaging to fully exploit the signal's potential. Therefore, we propose a new sequence utilizing a double-half-echo 23Na readout. Additionally, we propose to exploit this image further to drive the reconstruction of the low resolution MQC images. |
| 0021 | 9:51
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Whole-brain bi-exponential 23Na-MRI T2* mapping at 7T with a 32-channel phased array receiver coil |
| Samuel Rot1,2, Jon O Cleary3, Ayse Sila Dokumaci4,5, Michael Eyre4,5,6, Philippa Bridgen5,7, Yasmin Blunck8,9, Warda Syeda10, Shaihan J Malik4,5, Joseph V Hajnal4,5, Bhavana S Solanky1,11, Shan-Shan Tang6, Claudia AM Gandini Wheeler-Kingshott1,12,13, and David Carmichael4,5 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom, 4Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 5London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 6Children's Neurosciences, Evelina London Children's Hospital at Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 7Guys and St Thomas’ NHS Foundation Trust, King's College London, London, United Kingdom, 8Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia, 9Melbourne Brain Imaging Unit, The University of Melbourne, Melbourne, Australia, 10Melbourne Neuropsychiatry Centre, The University of Melbourne, Parkville, Victoria, Australia, 11Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 12Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 13Brain Connectivity Centre Research Department, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: Non-Proton, Relaxometry, Sodium, T2* mapping In vivo 23Na-MRI benefits greatly from SNR improvements at ultrahigh fields and with multi-channel receivers. Here, we report a pipeline for multi-echo radial imaging of 23Na (MERINA) at 7T, using a 32-channel receiver coil. This involves correction of image artifacts induced by gradient imperfections, followed by channel combination to maintain Rician noise distributions in combined magnitude images. This led to improved T2* mapping with a fixed-component bi-exponential signal model. T2* values (e.g. T2s*=4.6±0.9ms, T2l*=28.3±2.8ms in cerebral white matter) agree with reports in literature. Future work will involve correcting B0 inhomogeneity effects, more sophisticated signal models and exploring potential clinical applications. |
| 0022
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9:59
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Estimation of pH values and magnesium ion content in vivo using a chemical shift dictionary for 31P MRSI at UHF |
| Vanessa L. Franke1,2, Johannes S. Breitling1, Renate Bangert1, Philip S. Boyd1, Nina Weckesser3, Heinz-Peter Schlemmer3,4, Daniel Paech3,5, Mark E. Ladd1,2,4, Peter Bachert1,2, and Andreas Korzowski1 | ||
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Faculty of Medicine, University of Heidelberg, Heidelberg, Germany, 5Division of Neuroradiology, University Hospital Bonn, Bonn, Germany |
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Keywords: Spectroscopy, Non-Proton, 31P, phosphorus, pH 31P MRSI enables non-invasive mapping of pH value and magnesium content in vivo, and is conventionally done by calibration equations, like the modified Henderson-Hasselbalch equation, relating 31P chemical shifts to physiological parameters. The reliability of this approach might be hampered when applied to diseased tissue, like cancer, where the chemical conditions are altered. Recently, we proposed a chemical shift dictionary for 31P MRSI to potentially enable a condition-independent estimation of pH value and magnesium content. In this study, the applicability of this approach to in vivo data is tested, and its potential for further research identified. |
| 0023 | 10:07
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Spatial variations of 31P metabolites within the liver measured with 3D 31P MRSI at 7T |
| Lieke van den Wildenberg1, Ayhan Gursan1, Leonard Seelen1, Tijl van der Velden1, Mark Gosselink1, Martijn Froeling1, Wybe van der Kemp1, Dennis Klomp1, and Jeanine Prompers1 | ||
1Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Liver, Spectroscopy 31P MRS can be used in liver disease diagnosis and treatment monitoring. However, it is unclear whether 31P metabolite concentrations differ across the healthy liver, which would be important to take into account. Using an integrated 31P whole-body transmit coil for a 7T MRI scanner in combination with a 16-channel body receive array, we aimed to assess spatial variations of 31P metabolites within the liver in healthy subjects. We showed that there is significant spatial heterogeneity of various 31P metabolites levels within the liver, with marked differences for the PME and PDE metabolites between the left and right lobe. |
| 0024 | 8:15
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Hyperpolarized 13C MRSI detects immunomodulatory responses to dimethyl fumarate and fingolimod therapies in a model of multiple sclerosis |
| Caroline Guglielmetti1,2, Christian Cordano3, Chloe Najac4, Ari Green3, and Myriam Chaumeil1,2 | ||
1Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3Department of Neurology, University of California San Francisco, San Francisco, CA, United States, 4Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands |
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Keywords: Multiple Sclerosis, Hyperpolarized MR (Non-Gas) We used hyperpolarized 13C MR spectroscopy imaging (MRSI) in a multiple sclerosis model and showed that we could monitor immune cell activation by measuring hyperpolarized [1-13C]pyruvate conversion to lactate. We further demonstrated that this approach detected response to two existing treatments, fingolimod and dimethyl fumarate. We observed a reduction of pyruvate-to-lactate flux after treatment, that can be explained by increased pyruvate dehydrogenase activity and decrease of immune cells. In addition, we evaluated brain perfusion using hyperpolarized [13C]urea, but saw no therapy effect. Altogether, we demonstrated that hyperpolarized 13C MRSI has potential to monitor immunomodulatory therapies within the central nervous system. |
| 0025 | 8:23
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Free water diffusion volume fraction from NODDI suggests inflammation may drive decreased memory performance in Subjective Cognitive Decline |
| Ryn Flaherty1, Yu Sui1, and Mariana Lazar1 | ||
1Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Alzheimer's Disease, Neuroinflammation Evidence suggests subjective cognitive decline (SCD) is an early risk factor for Alzheimer’s disease. We analyzed the associations between memory and diffusion microstructure in the lower cingulum white matter bundle in SCD with DTI and NODDI. Better memory performance was associated with decreased free water volume fraction (FWVF) in the SCD group but not the control group. To the best of our knowledge, this is the first study to find differences in the associations between NODDI FWVF and memory in SCD in the lower cingulum. This finding supports prior findings of increased neuroinflammation in the earliest stages of Alzheimer’s Disease. |
| 0026 | 8:31
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Multiple Sclerosis (MS): High Contrast Visualisation of Abnormalities in Normal Appearing White Matter Using MASDIR Sequences |
| Paul Condron1,2, Haribalan Kumar 1,3,4, Samantha Holdsworth1,2, Daniel Cornfeld1,2, and Graeme Bydder1,5 | ||
1Mātai Medical Research Institute, Gisborne, New Zealand, 2Univeristy of Auckland, Auckland, New Zealand, 3Auckland Bioengineering Institute, Auckland, New Zealand, 4GE Healthcare, Victoria, Australia, 5University of California San Diego, San Diego, CA, United States |
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Keywords: Neuroinflammation, Multiple Sclerosis, neurodegeneration, MASDIR, Inversion Recovery (IR) sequences, tissue property filters Keywords; Neuroinflammation, Multiple Sclerosis, Neuro, Drugs. MASDIR sequences can show up to 15 times the contrast of T1-weighted MP-RAGE sequences. This is a consequence of using changes in T1 synergistically 3-4 times in the same sequence to detect subtle changes due to neuroinflammation and lesions. Extensive high contrast focal and diffuse abnormalities in white matter were demonstrated in areas that showed no abnormality with state-of-the-art T2-weighted spin echo and T2-FLAIR sequences in patients with multiple sclerosis. This demonstrated good correlation with advanced sequences such as T1 and myelin maps. |
| 0027 | 8:39
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Neuroinflammation and amyloid deposition in the progression of mixed Alzheimer and vascular dementia |
| Chunwei Ying1, Peter Kang2, Michael M. Binkley2, Andria L. Ford1,2, Yasheng Chen2, Jason Hassenstab2,3, Qing Wang1,3, Jeremy Strain2, John C. Morris3, Jin-Moo Lee1,2, Tammie L. S. Benzinger1,3,4, and Hongyu An1,2 | ||
1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States, 2Department of Neurology, Washington University School of Medicine, St Louis, MO, United States, 3Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, United States, 4Department of Neurosurgery, Washington University School of Medicine, St Louis, MO, United States |
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Keywords: Dementia, Dementia Alzheimer's disease (AD) and vascular contributions to cognitive impairment and dementia (VCID) pathologies commonly coexist in community-dwelling elderly. It is not discernible whether neuroinflammation and amyloid beta (Aβ) deposition are distinct or entangled pathophysiological mechanisms in patients with mixed AD and VCID pathologies. In this study, we found that neuroinflammation (measured by 11C-PK11195 uptake) but not Aβ deposition (measured by 11C-PiB binding), contributes to white matter hyperintensities baseline volume and progression. Both neuroinflammation and Aβ deposition independently contribute to cognitive impairment progression. Neuroinflammation and Aβ deposition represent two distinct pathophysiological pathways in elderly participants with mixed AD and VCID pathologies. |
| 0028 | 8:47
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Positron emission tomography with [ 18F]-DPA-714 unveils a smoldering component in most multiple sclerosis lesions driving disease progression |
| Mariem Hamzaoui1, Jeanne Garcia1,2, Giacomo Boffa1,3, Andrea Lazzarotto1,2,4, Vito A G Ricigliano2, Arya Yazdan Panah1, Théodore Soulier1, Celine Louapre1, Benedetta Bodini1,2, and Bruno Stankoff1,2 | ||
1Sorbonne Université, Paris Brain Institute, ICM, CNRS, Inserm, Paris, France, paris, France, 2Department of Neurology, Saint- Antoine Hospital, APHP, Paris, France, paris, France, 3Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy, genoa, Italy, 4Padova Neuroscience Center, University of Padua, Padua, Italy, padua, Italy |
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Keywords: Multiple Sclerosis, Neuroinflammation, [¹⁸F]-DPA-714, TSPO, Lesion individualization and phenotyping, disease progression Positron emission tomography with18kDa-translocator (TSPO) tracers opens the perspective to image innate immune cells underlying the smoldering component of multiple sclerosis (MS), that currently mostly escape from MRI evaluation. Using [18F]-DPA-714-PET, we developed a novel lesion TSPO based classification of MS lesions and showed that an unexpectedly high proportion have a persistent neuroinflammatory content. A longitudinal follow up of subjects unraveled that this lesional smoldering component predicted atrophy and clinical progression. Following the acute phase, most lesions may therefore develop a chronic inflammatory component which can persist for several years, subsequently promoting neurodegeneration and clinical progression in MS. |
| 0029 | 8:55
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Disruption to normal excitatory and inhibitory function within the medial prefrontal cortex in patients with IBD |
| Jun Wang1,2, Guangyao Liu2,3, Kai Ai4, Pengfei Zhang1, Wenjing Huang1, and Jing Zhang2,3 | ||
1Second Clinical School, Lanzhou University, Lanzhou, China, 2Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou University Second Hospital, Lanzhou, China, 4Department of clinical science, Philips Healthcare, Xi’an, China |
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Keywords: Neuroinflammation, fMRI The etiology of IBD complicated with anxiety, depression and other psychological comorbidities is still unclear. The purpose of this study was to quantify neurotransmitter (GABA and Glx) in the medial prefrontal cortex (mPFC) of IBD patients with MEGA-PRESS spectroscopy and explore its relationship with clinical scores. We found that mPFC GABA+ and Glx concentration were significantly decreased in IBD patients and were associated with abdominal pain and depressive symptoms separately, suggesting psychological comorbidities in IBD patients were related to mPFC neurotransmitter dysregulation. It provides a new explanation for the neuropsychological mechanism of IBD in the development of the disease. |
| 0030 | 9:03
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Quantifying Cervical Spinal Cord Pathology of Multiple Sclerosis Patients Using Advanced MRI |
| Osman Hatipoglu1,2,3, Tsagkas Charidimos 1,2,3,4, Mario Ocampo-Pineda1,2,3, Lester Melie-Garcia1,2,3, Matthias Weigel1,2,3,5, Po-Jui Lu1,2,3, Muhamed Barakovic1,2,3, Julien Cohen-Adad6,7,8, Ludwig Kappos2,3, Jens Kuhle2,3, and Cristina Granziera1,2,3 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 3Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, University Hospital Basel, Basel, Switzerland, 4Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, United States, 5Division of Radiological Physics,Department of Radiology, University Hospital Basel, Basel, Switzerland, 6Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada, 7NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 8Mila, Quebec AI Institute, Montreal, QC, Canada |
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Keywords: Multiple Sclerosis, Spinal Cord The utility of advanced quantitative MRI for assessment of spinal cord tissue damage in multiple sclerosis has not yet been established. In this work, we used T1-mapping as well as quantitative magnetization transfer saturation and echo-planar imaging to quantify the extent of pathologic changes in the cervical cord of multiple sclerosis patients. Our results point to extensive demyelination and axonal loss both in the normal-appearing and lesional cervical cord, as well as to and chronic inflammation of cSCWM lesions in secondary progressive multiple sclerosis. Hence, quantitative spinal cord MRI may provide valuable information about the pathologic substrate of this disease. |
| 0031 | 9:11
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Iron accumulation and MRI iron contrast are not driven by amyloid plaques in posterior cortical atrophy |
| Evgeniya Kirilina1, Luke Edwards1, Carsten Jäger1,2, Tilo Reinert1, Anna Jauch1, Malte Brammerloh1,3, Karl-Heinz Herrmann4, Patrick Scheibe1, Felix Büttner1,3, Dennis Brückner5, Gerald Falkenberg5, Jürgen R. Reichenbach4, and Nikolaus Weiskopf1 | ||
1Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Paul Flechsig Institute - Center of Neuropathology and Brain Research, Leipzig, Germany, 3Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany, 4Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany, 5PETRA III, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany |
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Keywords: Alzheimer's Disease, Contrast Mechanisms, iron, plaques, posterior cortical atrophy, cortex We combined ultra-high resolution quantitative MRI, X-ray fluorescence, and biophysical modeling to study iron-induced MRI contrast in the visual cortex of patients with Alzheimer’s disease (AD) and its variant posterior cortical atrophy (PCA). The iron content of amyloid plaques in patients with PCA and AD exceeded the iron concentration in the surrounding tissue by less than 15%, constituting only a minor contribution to the intracortical T2* contrast. The elevated levels of brain iron detected by iron-sensitive MRI contrasts are not indicative of plaques but may reflect other processes, such as inflammation or leakage in the blood-brain barrier. |
| 0032 | 9:19
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Regional Changes in Brain Viscoelasticity in Multiple Sclerosis Assessed with Three-Dimensional MR Elastography |
| Ling Fang1, Matthew C. Murphy2, Sha Tan3, Qiuxia Luo1, Jingbiao Chen1, Bingjun He1, Jun Chen2, Jonathan M. Scott2, Kevin J. Glaser2, Richard L. Murphy2, Wei Qiu3, and Jin Wang1 | ||
1Department of Radiology, the Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Department of Neurology, the Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China |
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Keywords: Multiple Sclerosis, Elastography Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. MR Elastography (MRE) can quantitatively assess biomechanical tissue properties in vivo noninvasively. We investigated the potential value of MRE to reveal changes in tissue viscoelasticity in regions and the whole brain in MS patients and to analyze the relevance to clinical manifestations. Our results suggest that the damping ratio and loss modulus are promising quantitative biomarkers for evaluating tissue damage in MS. |
| 0033 | 9:27
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Elevated free-water volume in the brains of HIV+ alcohol drinkers compared to HIV- drinkers as an indication of neuro-inflammation |
| Teddy Salan1, Varan Govind1, Joseph Gullett2, Eric Porges2, Zhigang Li2, Ronald Cohen2, and Robert Cook2 | ||
1University of Miami, Miami, FL, United States, 2University of Florida, Gainesville, FL, United States |
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Keywords: Neuroinflammation, Infectious disease, Alcohol Use Chronic alcohol use and HIV infection can have synergistic effects that negatively impact the brain leading to abnormalities such as neuro-inflammation. Free-water eliminated DTI (FWE-DTI) has been suggested as a biomarker of neuro-inflammation. This study compare DTI and FWE-DTI derived metrics in the brains of HIV+/HIV- chronic drinkers to determine whether HIV infection or drinking behavior is a more significant factor contributing to brain microstructural abnormalities and neuro-inflammation. Our results suggest that HIV is a more significant factor than drinking level contributing to elevated free water in the brain as a sign of neuro-inflammation. |
| 0034 | 9:35
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Multimodal 9.4T MRI and Near-Infrared Spectroscopy shows reduced perfusion and abnormal oxidative metabolism in the EAE mouse model of MS |
| Mada Hashem1,2,3, A. Max Hamilton1,2,3, and Jeff F. Dunn1,2,3 | ||
1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Experimental Imaging Centre, University of Calgary, Calgary, AB, Canada |
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Keywords: Multiple Sclerosis, Animals, arterial spin labeling, high field MRI While multiple sclerosis (MS) is typically considered a white matter disease, there is prominent evidence that gray matter pathology, such as hypoxia, disruptions in metabolic rate and mitochondrial dysfunction are involved as well. We are applying a novel multimodal technique combining near-infrared spectroscopy and high-field MRI to study the mitochondrial status as well as oxygen delivery and consumption in the cortex of the EAE mouse model of MS. Reduced perfusion, and consequent hypoxia, with abnormal mitochondrial regulation and no change in consumption rate were found in EAE mice. Hypoxia and mitochondrial damage are likely to exacerbate the pathology in MS. |
| 0035 | 9:43
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Pathological Validation of Multiple Sclerosis Lesion Rims on Phase and Quantitative Susceptibility Mapping (QSM) images |
| Kelly M Gillen1, Thanh D Nguyen1, Alexey Dimov1, Emily Demmon2, Ilhami Kovanlikaya1, Francesca Bagnato3,4, Dominick Romano1, David Pitt5, Susan Gauthier2, and Yi Wang1 | ||
1Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 2Department of Neurology, Weill Cornell Medicine, New York, NY, United States, 3Department of Neurology, TN Valley HealthCare VA Medical System, Nashville, TN, United States, 44Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Neurology, Yale School of Medicine, New Haven, CT, United States |
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Keywords: Multiple Sclerosis, Quantitative Susceptibility mapping, Phase, iron Multiple Sclerosis (MS) is an autoimmune disorder characterized by focal inflammatory demyelination. Chronic MS lesions can contain chronically activated, iron-laden microglia and macrophages. By comparing rim status on quantitative susceptibility mapping (QSM) and phase imaging with histopathology that identifies iron, we demonstrate that QSM is a more reliable indicator of iron status than phase. QSM is a valuable clinical tool to identify iron positive smoldering lesions not visible using conventional MRI techniques. |
| 0036 | 9:51
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Association between PET-MR imaging measures of blood-brain barrier leakage and immune cell activation in acute intracerebral hemorrhage |
| Olivia Jones1,2, Saffwan Mohamed3, Rainer Hinz2,4, Ben Dickie2,4, Laura Parkes1,2, and Adrian Parry-Jones2,3,5 | ||
1Division of Psychology, Communication and Human Neuroscience, University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, Manchester, United Kingdom, 3Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom, 4Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, United Kingdom, 5Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom |
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Keywords: Neuroinflammation, PET/MR Intracerebral hemorrhage is a severe form of stroke. Secondary injury involves a cascade of pathophysiological changes thought to begin with microglial activation and result in blood-brain barrier(BBB) breakdown and edema formation. In this study, patients underwent dynamic contrast-enhanced MRI and [11C](R)-PK11195 PET, which measure BBB leakage and binding to the translocator protein 18kDa (TSPO) expressed on activated microglia, respectively. BBB leakage and TSPO binding were elevated in the edema. Mean co-localisation of BBB leakage and TSPO binding was 5.6%; drugs targeting inflammation may cross the BBB into 0-28% of target tissue. Modified Rankin Scale scores negatively correlated with BBB leakage. |
| 0037
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9:59
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Brain Metabolite Concentrations of White Matter and Grey Matter in Perinatal HIV Infected Adults Using a Whole-Brain MR Spectroscopic Imaging |
| Teddy Salan1, Elizabeth Willen2, Anai Cuadra1, Sulaiman Sheriff1, Andrew Maudsley1, and Varan Govind1 | ||
1Univerity of Miami, Miami, FL, United States, 2University of Missouri-Kansas City School of Medicine, Kansas City, MO, United States |
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Keywords: Infectious disease, Spectroscopy With the advent of antiretroviral therapy (ART), perinatally HIV-infected children have been able to transition into adulthood. However, the long term impact of HIV infection and the potential toxic effects of long term use of antiretroviral therapeutics on brain metabolites are not completely characterized. In this study, a whole-brain MRSI method is used to quantitate changes in brain metabolites, N-acetyl aspartate (NAA), total-creatine (Cr) and total-choline (Cho), in PHIV+ adults compared to matched controls. Results show significant alterations of proton MRS-observed metabolites in the whole brain of PHIV+ as they reach adulthood despite their adherence to ART. |
| 0038 | 10:07
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Brain diffusion alterations in patients with COVID-19 pathology and neurological manifestations |
| Anna Caroli1, Serena Capelli1, Angela Napolitano2, Giulia Cabrini3, Alberto Arrigoni1, Giulio Pezzetti2, Mattia Previtali1, Luca Giovanni Longhi4, Rosalia Zangari5, Ferdinando Luca Lorini6, Maria Sessa7, Andrea Remuzzi3, and Simonetta Gerevini2 | ||
1Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy, 2Department of Neuroradiology, ASST Papa Giovanni XXIII, Bergamo, Italy, 3University of Bergamo, Bergamo, Italy, 4Neurosurgical Intensive Care Unit, Department of Anesthesia and Critical Care Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy, 5FROM Research Foundation, ASST Papa Giovanni XXIII, Bergamo, Italy, 6Department of Emergency and Critical Care Area, ASST Papa Giovanni XXIII, Bergamo, Italy, 7Department of Neurology, ASST Papa Giovanni XXIII, Bergamo, Italy |
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Keywords: Infectious disease, COVID-19 This study aimed at quantifying brain diffusion alterations on DWI scans in 215 COVID-19 patients with neurological manifestations as compared with 36 normal controls. The Apparent Diffusion Coefficient (ADC) was quantified in brain tissues and regions, using an in-house MRI processing procedure. In COVID-19 patients, a widespread significant increase in ADC was found in white matter. ADC values were significantly correlated with MRI time from disease onset. ADC alteration was highest in hospitalized patients. Patients with neurological disorders showed significantly higher ADC than those with olfactory loss only. DWI shows potential as a non-invasive marker of neuroinflammation in COVID-19. |
| 0039
|
8:15
|
Total and regional brain volumes in fetuses with congenital heart disease |
| Daniel Cromb1,2, Alena Uus1,2, Milou Van Poppel3, Johannes Steinweg3, Alexandra Bonthrone1,2, Alessandra Maggioni1, Paul Cawley1,4, Vanessa Kyriakopoulou1, Jacqueline Matthew1, Anthony Price1,2, A David Edwards1,2, Maria Deprez1,2, Joseph V Hajnal1,2, David F Lloyd1,3,5, Kuberan Pushparajah1,3,5, John Simpson1,3,5, Mary Rutherford1,4, and Serena J Counsell1,2 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom, 4MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom, 5Paediatric Cardiology, Evelina London Children's Hospital, London, United Kingdom |
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Keywords: Fetal, Brain, Brain Volumes, Congenital Heart Disease Total and regional brain volumes, derived from automatically segmented, motion-corrected, 3D fetal brain MR images were obtained in 45 healthy fetuses and 305 fetuses with isolated congenital heart disease (CHD) in the third trimester. Total brain tissue, cortical and deep grey matter, and white matter volumes are significantly lower in fetuses with CHD where cerebral oxygenation and substrate delivery are likely to be reduced. Brain volumes appear normal in fetuses with CHD but an otherwise expected normal cerebral oxygenation. |
| 0040 | 8:23
|
Altered Brain Signaling Complexity in Preterm-born and Term-born Infants at Term Age: a Functional MRI Study |
| Allison Eve Mella1 and Alexander Weber2 | ||
1Neuroscience, University of British Columbia, Vancouver, BC, Canada, 2Pediatrics, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Neonatal, fMRI (resting state), Neuroscience We compared Hurst exponent (H) values in preterm and term healthy controls to quantify brain signaling criticality using rsfMRI scans. Neonatal data from the Developing Human Connectome Project was analyzed. We found that H significantly increased in the preterm groups longitudinally in all resting state networks. Motor and sensory networks were found to have the greatest increase in H. At term age, very preterm, moderately preterm, and health controls displayed different H values in 8 of the 13 networks examined. |
| 0041 | 8:31
|
Development of Infant Brain Functional Connectome Gradients during Age 0-6 Years |
| Xinyi Cai1, Lianghu Guo1, Mianxin Liu1, Feihong Liu1, Jiawei Huang1, Jiameng Liu1, Qing Yang1, Lang Mei1, Tianli Tao1, Zhuoyang Gu1, Xiaozhao Liu1, Yuxiao Liu1, Xiangnan Tian1, Qian Chen1, Ruoming Wang1, Yizhou Shi1, Qian Wang1, Han Zhang1, and Dinggang Shen1 | ||
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China |
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Keywords: Normal development, Brain, Infant Studies have revealed a particular functional connectome gradient (FC-grad) pattern in the human brain, reflecting delicate organization of brain connectome. Interestingly, the pattern can be observed along childhood-adolescent, even in neonates. However, FC-grad changes from infancy to childhood remain unraveled, with significant disparities between neonates and school-aged children not explained. We explored the early development trajectories of the FC-grads between age 0-5 years. We found that the neonatal “prototypic” connectome gradients undergoes rapid changes in this period, especially the first 12 months, reflecting maturing functional integration. Our study filled the gap of FC-grad development in early infancy. |
| 0042 | 8:39
|
Dynamic functional network connectivity in neonatal brain |
| Ruolin Li1, Yihan Wu1, Yifan Shuai1, Zhiyong Zhao1, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China |
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Keywords: Neonatal, Normal development, brain network The study aimed to explore the changes of dynamic functional network connectivity (FNC) with age in neonatal brain. We used independent component analysis to extract 17 resting-state networks, and calculated their static and dynamic FNC (sFNC/dFNC). We found that the variance of dFNC significantly correlated with GA, and the sFNC significantly correlated with PMA controlling GA as a covariate. Moreover, the preterm- than term-born neonates showed decreased variances of dFNC between almost all networks, and altered sFNC between several networks. These findings suggest that the time-varying FNCs are modulated more by maternal environment than postnatal experience during early brain development. |
| 0043 | 8:47
|
Structural reorganisation in higher-order brain networks of the common marmoset from infancy to adulthood revealed by DTI tractography |
| Stephen Sawiak1, Michal Graczyk1, Gemma J Cockcroft1, Lauren McIver1, Edward Bullmore2, and Angela Roberts1 | ||
1Translational Neuroimaging Laboratory; Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom, 2University of Cambridge, Cambridge, United Kingdom |
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Keywords: Brain Connectivity, Brain Connectivity Adolescence is a critical period in development where neuropsychiatric symptoms emerge. The most striking morphological changes in the brain throughout this time are seen in white matter. Here we present a large longitudinal non-human primate study mapping detailed changes in the structural DTI connectome from infancy to adulthood, showing changes in connectivity across this period in higher order association areas, particularly in prefrontal cortex. We demonstrate integration of subcortical structures across hemispheres in the adult brain alongside differentiation of right and left prefrontal areas in their community structure. |
| 0044 | 8:55
|
Causal evidence for cerebello-limbic-striatal circuit dynamics supporting depression |
| Ruiping Zheng1, Jingliang Cheng1, and Yong Zhang1 | ||
1MRI, the first affiliated hospital of zhengzhou university, zhengzhou, henan, China |
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Keywords: Adolescents, Neuroscience, Resting-state functional connectivity The striatum is known to be impaired in MDD patients. Abnormal structure or function of the striatum may disturb the top-down regulation of negative emotions among persons more vulnerable to developing depressive state, especially adolescent. Here, we investigated (1) voxel-wise FC between the striatal nucleus and the whole brain; (2) region of interest wise effective connectivity using DCM analysis, according to the between-group differences in FC of the striatal nucleus. We found decreased FC in cerebello-limbic-striatal circuit, and further DCM analysis showed the dysregulation of vrPUT nucleus disturb the top-down regulation of cerebello-limbic-striatal circuit during reward processing in adolescent MDD. |
| 0045 | 9:03
|
Motion robust MR Fingerprinting scans for non-sedated infant imaging |
| Chaitra Badve1, Jessie EP Sun2, Ameya Nayate1, Michael Wien1, Douglas Martin1, Jared Durieux1, Chris Flask2, Deanne Wilson Costello3, and Dan Ma4 | ||
1Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Neonatology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Neonatal, MR Fingerprinting The 5 min high resolution MRF scans coupled with low-rank iterative reconstruction successfully generated perfectly co-registered T1, T2 maps, synthetic MR contrast images, R1R2 maps, and myelin water fraction maps. Image Quality Assessment analysis with three pediatric neuroradiologists found that MRF based synthetic T1w and T2w images quality were superior in quality to MRI T1w and T2w (p<.0001) with lower image artifacts in the MRF synthetic images as compared to standard of care MRI. MRF T1w images demonstrated better myelin visualization compared to clinical T1w, and MRF T2w demonstrated improved tissue structure visualization as compared to clinical T2w images. |
| 0046
|
9:11
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Detecting individual variation in white matter microstructure in a high-risk infant population using deep normative modelling |
| Claire E Kelly1,2,3, Peter J Anderson1,2, Sila Genc3,4, Thijs Dhollander3, Deanne K Thompson2,3,5, Alice C Burnett2,5,6,7, Lex W Doyle2,5,6,8, and Jeanie LY Cheong2,6,8 | ||
1Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia, 2Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, 3Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 4Neurosurgery Advanced Clinical Imaging Service (NACIS), Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia, 5Department of Paediatrics, The University of Melbourne, Melbourne, Australia, 6The Royal Women’s Hospital, Melbourne, Australia, 7Neonatal Medicine, The Royal Children's Hospital, Melbourne, Australia, 8Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia |
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Keywords: Neonatal, Neuro There is large inter-individual variation in cognitive outcomes of adults born preterm, which may relate to under-recognised heterogeneity in white matter tract microstructural disturbances. This study created a normative model of white matter tract profiles using deep learning in term-born adults (n=95). The model was then applied to detect anomalies in tract profiles of preterm adults (n=111). The location and extent of anomalies varied across preterm adults. Further, tract anomalies were correlated with neonatal brain injury and IQ. Thus, this study demonstrates inter-individual variation in white matter abnormalities in preterm adults, helping to explain variation in cognitive outcomes. |
| 0047 | 9:19
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Macrovasculature-suppressed ASL MRI in neonates: quantification of cerebral blood flow and arterial transit time |
| Zhiyi Hu1, Dengrong Jiang2, Jennifer Shepard3, Yuto Uchida2, Kenichi Oishi2, Peiying Liu2,4, Doris Lin2, Vivek Yedavalli2, Aylin Tekes2, W. Christopher Golden3, and Hanzhang Lu1,2,5 | ||
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 5F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States |
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Keywords: Neonatal, Perfusion A prominent feature in neonatal cerebral blood flow (CBF) measurement is the hyperperfusion in the deep brain region. Given the rich presence of large arteries in this region, it is plausible that macrovascular artifacts may play a major role in the hyperintense signals observed. This study presented a new MRI technique, pCASL with arterial suppression and flow suppression (AFS-pCASL) to minimize the macrovascular artifacts in neonates. We demonstrated that macrovascular artifacts in neonatal pCASL can be substantially suppressed, from which quantitative CBF and arterial transit time can be measured when applying the sequence in a multi-delay setting. |
| 0048 | 9:27
|
Comparing vascular morphology and hemodynamics in patients with Vein of Galen Malformations using intracranial 4D flow MRI |
| Jeffrey N Stout1, Julie Swanson1, Alfred P See2, Shivani Rangwala1, and Darren B Orbach1 | ||
1Cerebrovascular Surgery and Interventions Center, Boston Children's Hospital, Boston, MA, United States, 2Department of Neurosurgery, CSIC, Boston Children's Hospital, Boston, MA, United States |
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Keywords: Blood vessels, Blood vessels, 4D Flow, Vein of Galen Malformation, blood flow Vein of Galen Malformation is the most common congenital cerebrovascular malformation and patients have variable mortality risk and cognitive outcomes. Tools are needed to guide treatment decisions, so we investigated the hemodynamic underpinnings of a morphological metric used for clinical prognostication. We used 4D flow MRI to quantify flow through the venous sinus that drains the malformation, and compared this to the maximum mediolateral diameter of the same sinus. A significant positive correlation between flow and diameter was observed when controlling for prior embolization; this finding motivates continued efforts to develop hemodynamic metrics of disease severity and treatment progress. |
| 0049 | 9:35
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Altered neurovascular coupling in children with idiopathic generalized epilepsy |
| HaiFeng Ran1, Jie Hu1,2, GuiQin Chen1, YuLun He1, Heng Liu1, and TiJiang Zhang1 | ||
1Department of Radiology, The Affiliated Hospital of Zunyi Medical University, ZunYi, China, 2Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, BeiJing, China |
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Keywords: Neuro, Epilepsy, Neurovascular coupling This study investigated the neurovascular coupling of children with idiopathic epilepsy using resting-state functional Magnetic Resonance Imaging and arterial spin labeling. Children with IGE present altered global neurovascular coupling, and higher regional neurovascular coupling in in the right medial frontal gyrus associated with lower performance intelligence quotient scores. The study shed a new insight into the pathophysiology of epilepsy and provided the potential imaging biomarkers of cognitive performances in children with IGE. |
| 0050 | 9:43
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Optimization of the T2-weighted MRI contrast in 0-6-month-old infant brain based on extended phase graph theory |
| Jiani Wu1, Hongxi Zhang2, Haotian Li1, Siyifei Wang1, Xingwang Yong1, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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Keywords: Pulse Sequence Design, Contrast Mechanisms 3D T2-weighted MRI using fast spin-echo (FSE) with variable flip angles has been widely for anatomical imaging. However, 3D FSE of infant brains exhibits poor contrast due to the inherently close and rapidly changing T2 relaxation times between white matter and grey matter. Here we proposed an extended-phase-graph-based method to optimize the flip angles in FSE sequence for maximizing the white/grey matter contrast in 0 to 6 month-old infant brains at 3T, based on T2 values acquired from 37 infant brains. Results demonstrated improved relative contrasts in infant brains by 1.6-2 folds at different ages in different regions of interest. |
| 0051 | 9:51
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Development of safe operating procedures and early experience of scanning Newborn Infants at 7T |
| Philippa Bridgen1,2, Tomoki Arichi 2,3,4, Megan Quirke2,3,5, Jennifer Almabis2,3,5, Daniel Cromb3, Paul Cawley3, Raphael Tomi-Tricot1,5,6, Enrico De Vita7,8, Anthony N Price2,3, Alena Uus3,7, Maira Deprez3,7, Lucilio Cordero-Grande3,7,9, Sharon Giles1,2,7, Serena Counsell3, Tom Finck3,10, Mary A Rutherford3, A David Edwards3,4, Joseph V Hajnal1,3,7, and Shaihan J Malik1,3,7 | ||
1London Collaborative Ultra high field System (LoCUS), King's College London, London, United Kingdom, 2Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom, 5Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 7School of Biomedical Engineering and Imaging Sciences, Biomedical Engineering Department, King's College London, London, United Kingdom, 8Great Ormond Street Hospital for Children, London, United Kingdom, 9Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain, 10Department for Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany |
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Keywords: Neuro, High-Field MRI, 7T; MRI; Newborn Infant We describe operational processes developed for, and our first experiences in, imaging of newborn infants at 7T. Based on an initial safety study, a new SAR model was adopted, and a protocol developed for safe switching of mode prior and post imaging. Monitoring equipment was tested and cleared for use. Sequences for high-resolution and high-contrast brain imaging were optimized within stricter SAR limits. Image quality and SNR were compared at 7T and 3T, with improved anatomical and pathological features seen at 7T. Our study indicates scanning of newborn infants imaging is possible within the safety considerations needed at 7T. |
| 0052 | 9:59
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A novel ensemble deep learning neural network of multi-scale deep MRI features to localize the epileptogenic zone in pediatric epilepsy |
| Jeong-Won Jeong1,2, Min-Hee Lee1,2, Csaba Juhász1,2, and Eishi Asano1,3 | ||
1Pediatrics, Wayne State University, Detroit, MI, United States, 2the Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, United States, 3Neurology, Children's Hospital of Michigan, Detroit, MI, United States |
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Keywords: Neuro, Epilepsy, Ensemble deep learning, Localization of epileptogenic zone We present a novel ensemble deep learning neural network of multi-scale deep MRI features that can non-invasively localize the epileptogenic zone (EZ) partially overlapping seizure onset zone (SOZ) and irritative zone (IZ) in children with medically intractable epilepsy. The presented network provided high balanced accuracy of 90% to predict SOZ and IZ in 3-fold cross-validation. It also yielded a new MRI marker of epileptogenicity providing a huge effect size between the ground-truth EZ and non-EZ (i.e., Cohen’s d = 2.73), suggesting its high translational value for accurately guiding invasive EEG practice to determine the boundaries of the EZ sites |
| 0053 | 10:07
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Brain Ventricular and Microstructural Correlates of Executive Dysfunction in Congenital Heart Disease Using Explainable Machine Learning |
| Vincent Kyu Lee1,2, William Thomas Reynolds2,3, Benjamin Meyers4, Julia Wallace4, Daryaneh Badaly5, Cecilia Lo6, Ashok Panigrahy1,3,4, and Rafael Ceschin3,4 | ||
1Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States, 3Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States, 4Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States, 5Learning and Development Center, Child Mind Institute, New York, NY, United States, 6Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States |
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Keywords: Adolescents, Neuro, Congenital Heart Disease Neurodevelopment Machine Learning This study examined cerebrospinal fluid volumes as neuroimaging features and their role in predicting specific executive function impairments among adolescents with congenital heart disease using explainable machine learning models. The findings showed CSF volumes were among the most important predictors of executive function inhibition domain with 3 CSF volumes ranked amongst the top 20, and 4 more CSF volumes among the top 20% of all features. Selective increased lateral ventricular volume in the frontal regions in CHD patients may be secondary to loss of white matter integrity in the uncinate fasciculus (emotional regulation) and subsequently lead to inhibitory dysfunction. |
| 0054
|
8:15
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Deep learning improves accuracy of proton-density fat fraction estimation from In-phase and out-of-phase T1-weighted MRI |
| Kang Wang1, Guilherme Mourna Cunha2, Kyle Hasenstab3, Walter C Henderson4, Michael S Middleton4, Rohit Loomba5, Shelley A Cole6, Albert Hsiao4, and Claude B Sirlin7 | ||
1Radiology, Stanford, Palo Alto, CA, United States, 2Radiology, University of Washington Medicine, Seattle, WA, United States, 3Department of Mathematics and Statistics, San Diego State University, San Diego, CA, United States, 4Radiology, UC San Diego, La Jolla, CA, United States, 5Department of Hepatology, UC San Diego, La Jolla, CA, United States, 6Texas Biomedical Research Institute, San Antonio, TX, United States, 7UC San Diego, La Jolla, CA, United States |
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Keywords: Liver, Quantitative Imaging, Fat, Data analysis Proton density fat fraction (PDFF) is an established quantitative-imaging-biomarker for hepatic -fat quantification, but typically requires specialized confounder-corrected chemical-shift-encoded (CSE) magnetic-resonance-imaging (MRI) pulse sequences. We developed and assessed the feasibility of deep learning to infer hepatic PDFF maps from conventional T1-weighted-in-and-opposed-phase (T1w-IOP) MRI. Using PDFF maps reconstructed from CSE-MRI as reference, we trained a convolutional-neural-network (CNN) to infer voxel-wise PDFF maps from T1w-IOP MRI. The CNN was evaluated using both internal and external test datasets. Participant-level median CNN-inferred-PDFF were compared with reference CSE-MRI using linear regression, intraclass correlation, and Bland-Altman analysis. Median CNN-inferred PDFF agreed closely with reference CSE-MRI PDFF. |
| 0055
|
8:23
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Motion-Resolved Self-Gated Free-Breathing 3D Liver PDFF and R2* Mapping using Phase-Preserving Beamforming and Non-Rigid Motion Compensation |
| Shu-Fu Shih1,2, Sevgi Gokce Kafali1,2, Kara L. Calkins3, and Holden Wu1,2 | ||
1Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 2Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 3Pediatrics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States |
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Keywords: Liver, Fat 3D self-navigated multi-echo stack-of-radial Dixon sequence has been used to quantify fat and R2* with free-breathing acquisitions. To compensate motion, motion-resolved compressed sensing (CS) uses self-navigation for data binning, and applies sparsity constraint along the dimension of motion states. However, this approach does not explicitly model non-rigid motion in the liver. In addition to artifacts caused by respiratory motion, hardware imperfection such as gradient nonlinearity can lead to artifacts and affect the image quality. In this work, use a phase-preserving beamforming-based coil sensitivity estimation method and non-rigid motion compensation in a CS model to improve free-breathing PDFF and R2* quantification. |
| 0056
|
8:31
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Respiratory-motion-corrected simultaneous 3D T1, T2, and fat-fraction mapping at 0.55T, for comprehensive characterization of liver tissue |
| Donovan Tripp1, Karl P Kunze1,2, Michael Crabb1, Radhouene Neji1,2, Claudia Prieto1,3, and René Botnar1,3,4 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Liver, Low-Field MRI Through T1, T2, and fat fraction mapping, MRI is a formidable tool for the comprehensive assessment of liver health, but has been held back by slow, 2D, single-parameter mapping sequences. We propose a novel respiratory-motion-corrected framework to acquire all three of these maps from a single 6.5-minute scan, on the latest generation of 0.55T scanner. The resulting maps are 3D, with 3 mm isotropic resolution, and co-registered, making them suitable for multiparametric assessment of tissue health. Liver joint T1, T2, and fat fraction maps are in good agreement with reference values and first in-vivo scans provide promising image quality. |
| 0057 | 8:39
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Comparing the accuracy of single- and dual-R2* fat-water models for assessing hepatic steatosis and iron overload using Monte Carlo simulations |
| Utsav Shrestha1, Juan Pablo Esparza1, Sanjaya Satapathy2, Jason Vanatta3, and Aaryani Tipirneni-Sajja1,4 | ||
1The University of Memphis, Memphis, TN, United States, 2North Shore University Hospital/Northwell Health, Manhasset, NY, United States, 3University of Tennessee Health Science Center, Memphis, TN, United States, 4St. Jude Children’s Research Hospital, Memphis, TN, United States |
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Keywords: Liver, Liver Hepatic iron concentration (HIC) and fat fraction (FF) is assessed by chemical-shift encoded multi-spectral fat-water model that incorporates single- or dual-R2* correction. In this study, we designed a realistic virtual liver model simulating the combined presence of hepatic steatosis and iron overload using histology data and synthesized MRI signal in the virtual model using Monte-Carlo simulation to compare the accuracy of the R2* models to quantify FF in the presence of iron. Our results show that single-R2* is consistent than dual-R2* in estimating FF for HIC<=10 mg Fe/g after which both R2* models show higher error. |
| 0058 | 8:47
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Free-Breathing Liver Iron Quantification Using 3D Stack-of-Radial GRE Dixon MRI at Two Field Strengths: A Preliminary Study |
| Xiaodong Zhong1, Stephan A.R. Kannengiesser2, Pedro Itriago Leon3, Vibhas Deshpande4, and Takeshi Yokoo5 | ||
1MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Dallas, CA, United States, 4MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Austin, CA, United States, 5Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Liver, Quantitative Imaging, R2*, Iron, LIC, free-breathing This study compared free-breathing stack-of-radial and breath-hold Cartesian multi-echo GRE MRI for liver iron quantification at 1.5T and 3T to the reference standard R2-based liver iron concentration (LIC) at 1.5T (FerriScan), in patients at risk for liver iron overload. Agreement was observed for liver iron concentration measured by free-breathing 3D stack-of-radial GRE MRI compared the reference standard R2-based LIC, as well as breath-hold 3D Cartesian GRE MRI. With further validation in larger number of iron-overloaded subjects, 3D stack-of-radial GRE MRI may allow free-breathing R2* and LIC mapping at both 1.5T and 3T. |
| 0059 | 8:55
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Free-breathing Simultaneous T1, T2, and T2* Mapping of the Whole-Liver with Multi-Inversion Spin and Gradient Echo in Under a Minute |
| Mary Kate Manhard1,2, Anandh Kilpattu Ramaniharan1, Jean A Tkach1,2, Andrew T Trout1,2, Jonathan R Dillman1,2, and Amol Pednekar1,2 | ||
1Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States |
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Keywords: Liver, Quantitative Imaging Quantitative parametric mapping is an increasingly important tool for non-invasive assessment of liver disease. Conventional parametric mapping techniques require multiple breath-held acquisitions providing limited coverage. A free-breathing multi-inversion spin and gradient echo (MI-SAGE) technique is demonstrated to simultaneously estimate T1, T2, and T2* over the whole-liver in a single scan of less than 1 minute. In 11 research participants, hepatic T1, T2, and T2* estimates obtained using the free-breathing MI-SAGE technique were comparable to those obtained using modified Lock Locker, multiple gradient and spin echo, and multiple gradient echo sequences respectively and exhibited good to excellent (ICC>0.77) repeatability and reproducibility. |
| 0060 | 9:03
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Free-breathing Isotropic resolution self-Navigated B1-insensitive whOle liver simultaneous T1 and T2 mapping (FINO) |
| Jonathan K. Stelter1, Kilian Weiss2, Elizabeth Huaroc Moquillaza1, Felix N. Harder1, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Hamburg, Germany |
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Keywords: Liver, Relaxometry Volumetric T1 and T2 relaxation mapping is of interest in the characterization of diffuse and oncological liver diseases. Current methods for free-breathing whole-liver relaxation mapping have primarily been optimized to quantify a water-specific T1, are restricted to large voxel sizes in the feet-head-direction, and are not compatible with self-navigation. The present work proposes a novel methodology for Free-breathing Isotropic resolution self-Navigated B1-insensitive whOle-liver simultaneous water-specific T1 and T2 mapping (FINO). Phantom results illustrate the accuracy of the method and in vivo results demonstrate the feasibility of whole-liver water-specific T1 and T2 mapping at an isotropic resolution of 3mm in 6min. |
| 0061 | 9:11
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Assessment of Inflammation and Spatial Heterogeneity for Nonalcoholic Fatty Liver Disease in Mice Based on Corrected T1 |
| Lujie Li1, Kan Deng2, Yinhong Zhang1, and Shi-ting Feng1 | ||
1the First Affiliated Hospital of Sun Yet-sen University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Liver, Quantitative Imaging Corrected T1 (cT1) is potential to be a novel imaging biomarker, which was based on T1 mapping corrected for iron content. The results of this study showed the high correlation between cT1 value and NAFLD activity, without correlation with fibrosis. There was high accuracy of cT1 to identify normal liver and liver with NAFLD, as well as mild and severe NAFLD. The severer inflammation, the higher heterogeneity of cT1 mapping. Thus, cT1 may be used for evaluating liver inflammation of patient with NAFLD, especially for those without severe fibrosis, and may evaluate heterogeneity further. |
| 0062 | 9:19
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Longitudinal MR Elastography and Proton Density Fat Fraction Measurements in Patients with Alcoholic and Nonalcoholic Fatty Liver Disease |
| Jiahui Li1, Zheng Zhu1, Kevin J. Glaser1, Yi Sui1, Douglas A. Simonetto2, Alina M Allen2, Armando Manduca1, Sudhakar K. Venkatesh1, Vijay H. Shah2, Richard L. Ehman1, and Meng Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Liver, Liver To evaluate MR imaging biomarkers in monitoring chronic liver diseases, we analyzed longitudinal MRE-assessed liver stiffness (LS) and proton density fat fraction (PDFF) measurements in 46 patients with alcoholic liver disease (ALD) or nonalcoholic fatty liver disease (NAFLD). Results demonstrated that yearly LS change rate was significantly associated with current LS and PDFF change rate in NAFLD, although with low correlation (R2=0.30, p=0.01). ALD patients had bidirectional changes in LS/PDFF change rate but not significant correlation (R2=0.20, p=0.10). We conclude that longitudinal MRE-LS and MRI-PDFF provide independent and complementary assessments of disease status and dynamic change in ALD and NAFLD. |
| 0063 | 9:27
|
Evaluation of liver fibrosis using histogram analysis with diffusion kurtosis imaging and stretched-exponential diffusion model |
| Fengxian Fan1, Yanli Jiang1, Jie Zou1, Pin Yang1, and Jing Zhang1 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques, histogram analysis; stretched exponential model; diffusion kurtosis imaging This study aims to evaluate the potential role of histogram analysis of diffusion kurtosis imaging (DKI) and stretched exponential model (SEM) for preoperative prediction of liver fibrosis and inflammation. Histogram metrics were extracted from mean diffusion (MD), mean kurtosis (MK), distributed diffusion coefficient (DDC) and intravoxel heterogeneity index (α). The histogram metrics of MD, DDC and α demonstrate significant correlation with inflammation, the histogram metrics of MD and DDC were significantly different between S0-1 and ≥S2. Histogram analysis of DKI and SEM may be potentially useful for evaluating heterogeneity of liver. |
| 0064 | 9:35
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Comparing and combining MRI-ECV, DKI, and DWI for the staging of liver fibrosis in chronic hepatitis B Patients: A multiparametric model |
| Zhou Wei1, Yupin Liu*1, Xiaohuan Li1, Zhiyuan Chen1, Robert Grimm2, and Yunzhu Wu3 | ||
1Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, China |
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Keywords: Liver, Liver Liver fibrosis (LF) is a dynamic, reversible process which can result in liver failure. Diagnosis and monitoring of LF are clinically important. This study was to evaluate the diagnostic capability of the model based on multiparametric MRI in identifying significant LF in patients with chronic hepatitis B (CHB). The predictive model based on multiparametric MRI further could improve diagnostic accuracy and serve for identifying significant LF in CHB patients, also provide a reliable basis for clinical diagnosis and treatment. |
| 0065 | 9:43
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Non-invasive evaluation of anti-integrin αvβ6 treatment of liver fibrosis by collagen-targeted MRI |
| Yingying Ning1, Iris Y. Zhou1, Nicholas J Rotile1, Avery Boice1, Johanna Schaub2, Scott Turner2, and Peter Caravan1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Pliant Therapeutics, Inc., South San Francisco, CA, United States |
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Keywords: Liver, Liver, liver fibrogenesis A collagen-binding molecular MR probe CM-101 was employed to non-invasively assess liver fibrosis and the anti-fibrotic effects of a novel αvβ6/αvβ1 integrin antagonist treatment in bile duct-ligated rats. Reduction of fibrosis was detected by collagen imaging and correlated with morphometric assessment of fibrosis from histology. CM-101 enhanced MR is a useful tool to monitor drug treatment response in chronic liver disease. |
| 0066
|
9:51
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Anatomically Accurate In vitro Model of the Liver for 4D Flow MRI Validation |
| James Rice1,2, Thekla Oechtering2,3, Kevin M Johnson2,4, Oliver Wieben2,4, Scott B Reeder2,4,5,6, and Alejandro Roldan-Alzate1,2,6 | ||
1Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, Universität zu Lübeck, Lübeck, Germany, 4Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Liver, Modelling 4D flow MRI can be used to assess hemodynamics in the hepatic circulation system. This study presents a framework for in vitro hemodynamic evaluation of hepatic flow. One patient-specific in vitro model was created representing an anatomically realistic portal vein and hepatic artery and connected to a physiologic flow loop. The model was imaged with 4D flow MRI to assess hemodynamics. Altering hepatic artery and left gastric vein resistance changed flow proportions and velocities in the portal vein, highlighting the benefit of using in vitro modeling for systematic evaluation of 4D flow MRI in the liver. |
| 0067
|
9:59
|
Quantitative Magnetization EXchange (MEX) MRI Measurement of Liver Fibrosis Model in Rodents |
| Ella Wilczynski1, Efrat Sasson2, Uzi Eliav2, Gil Navon2, and Uri Nevo1,3 | ||
1Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2School of Chemistry, Tel Aviv University, Tel Aviv, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel |
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Keywords: Liver, Preclinical, MEX Quantitative MRI can elucidate the complex microstructural changes in liver disease. The MEX method estimates macromolecular fraction, such as collagen, and can potentially aid in this task. Rats and mice were given CCl4 to induce liver fibrosis and canned using a 7T scanner with MEX sequence (selective suppression and magnetization exchange) and macromolecular fraction (F) and T1 were extracted. Histology quantitative evaluation of collagen and inflammation scoring was conducted. F-values of fibrotic rats and mice were significantly increased and correlated with quantitative collagen percentage. T1 was significantly elevated with higher inflammation scores. |
| 0068 | 10:07
|
4D Flow MRI Reference Values of the Portal Venous System |
| Andrew Pan Huang1,2, Grant S Roberts3, Alejandro Roldán-Alzate4,5, Oliver Wieben3, Scott B Reeder2,3,5,6,7, and Thekla Oechtering2,8 | ||
1Department of Surgery, Section of Vascular Surgery, University of Michigan, Ann Arbor, MI, United States, 2Department of Radiology, University of Wisconsin, Madison, WI, United States, 3Department of Medical Physics, University of Wisconsin, Madison, WI, United States, 4Department of Mechanical Engineering, University of Wisconsin, Madison, WI, United States, 5Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States, 6Department of Medicine, University of Wisconsin, Madison, WI, United States, 7Department of Emergency Medicine, University of Wisconsin, Madison, WI, United States, 8Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany |
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Keywords: Liver, Vessels 4D flow MRI can aid in diagnosing pathologies associated with hemodynamic changes in the portal vein, such as portal hypertension. Normal reference ranges for portal venous flow are lacking but essential for future clinical implementation. We report reference values based on radial 4D flow MRI measurements of mean flow, velocity, and effective diameter in the portal venous vasculature in 44 healthy subjects (59% female, 18-74 years). Faint helical and linear flow are physiological flow patterns observed in the portal vein. This study provides normative values for emerging clinical applications of 4D flow MRI currently under development. Keywords: Liver, Velocity&Flow, Vessels |
| 0069
|
8:15
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What if every voxel was measured with a different diffusion protocol? |
| Santiago Coelho1, Gregory Lemberskiy1, Ante Zhu2, Nastaren Abad2, Thomas K. F. Foo2, Els Fieremans1, and Dmitry S. Novikov1 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2GE Research, Niskayuna, NY, United States |
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Keywords: Data Processing, Diffusion/other diffusion imaging techniques A naive answer to this question is to loop over all voxels re-do the training and apply machine learning estimators of your favorite model. This is grossly computationally inefficient. We propose a matrix pseudoinversion-based method that can estimate nonlinear biophysical model parameters from a large set of voxels with independent acquisition protocols in a few minutes. Our framework can be tailored to any convolution-based model. Furthermore, the protocols are not required to have shells and there are no limits to the protocol differences among voxels. This method is readily extendable for simultaneously varying diffusion times, B-tensor shapes, TE, etc. |
| 0070 | 8:23
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Empirical normative models to identify patterns of anomalous white matter in autism spectrum disorder |
| Nagesh Adluru1, Douglas Dean III1, Molly Prigge2, Jace King2, Nicholas Lange3, Erin Bigler4, Brandon Zielinski5, Janet Lainhart1, and Andrew Alexander1 | ||
1University of Wisconsin, Madison, WI, United States, 2University of Utah, Salt Lake City, UT, United States, 3Harvard Medical School, Cambridge, MA, United States, 4Brigham Young University, Provo, UT, United States, 5University of Florida, Gainesville, FL, United States |
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Keywords: Data Analysis, Brain Normative modeling offers a promising approach for better characterization of brain differences in heterogeneous populations. In this study, empirical normative modeling was applied to characterize white matter regional heterogeneity of DTI measurements in adolescents and young adults with more cognitively-and-verbally able autism spectrum disorder (ASD) in comparison to an age matched cohort of typically developing controls. The results of this study demonstrated that the individual differences in DTI measurements in many JHU white matter regions are extremely heterogeneous across the ASD cohort. Hierarchical clustering analysis revealed three groups of white matter regions with similarity patterns across six subgroups within ASD. |
| 0071
|
8:31
|
Analyzing the Spatially-Resolved Performance of mpMRI for Detection of Prostate Cancer using a Prostate Sector Map |
| Fatemeh Zabihollahy1, Steven S Raman1, Pornphan Wibulpolprasert2, Sitaram Vangala3, Holden H. Wu1, Aichi Chien1, Albert Thomas1, Robert E. Reiter4, and Kyunghyun Sung1 | ||
1Department of Radiological Sciences, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, United States, 2Department of Diagnostic and Therapeutic Radiology, Ramathibodi Hospital, Bangkok, Thailand, 3Department of Medicine Statistics Core, University of California, Los Angeles, Los Angeles, CA, United States, 4Department of Urology, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, United States |
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Keywords: Data Analysis, Multimodal Multiparametric MRI (mpMRI) has shown a marked impact on prostate cancer (PCa) diagnosis, but the understanding of the spatial distribution of tumors and the correlation between tumor location and mpMRI performance is still limited. The purpose of this study was to determine the performance of mpMRI for PCa detection and visualize the results on a prostate sector map described by Prostate Imaging Reporting and Data System (PI-RADS) v2.1. Also, this study aimed to investigate the association between mpMRI performance and tumor location in the prostate. |
| 0072 | 8:39
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Intravoxel incoherent motion DWI with different mathematical models in predicting rectal adenoma with and without canceration |
| Jia Yuping1 and Dou Weiqiang2 | ||
1Lixia District, Jinan city, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan, Jinan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Data Analysis, Cancer This study aimed to use intravoxel incoherent motion (IVIM) DWI with different mathematical models to predict rectal adenomas with and without canceration. The parameters of different IVIM-DWI models, including apparent diffusion coefficient (ADC) from mono-exponential model, true diffusion coefficient, pseudo-diffusion coefficient and perfusion fraction from bi-exponential model, and the distributed diffusion coefficient and water molecular diffusion heterogeneity index from stretched-exponential model were compared between 31 adenoma and 29 adenoma with canceration. We found that mono-exponential derived ADC can easily predict rectal adenomas with canceration, and bi-exponential model has a better combination of sensitivity and specificity for diagnosing rectal adenoma canceration. |
| 0073 | 8:47
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Measurement of tumor heterogeneity with habitats in breast cancer and its application in molecular subtype discrimination |
| Run Xu1, Guanwu Li1, Dan YU2, Yongming Dai2, and Xinyue Liang2 | ||
1Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Data Analysis, Cancer In this work, multiparametric MRI was applied to reconstruct spatial habitats and validate the association with the molecular subtypes of breast cancer. By combining perfusion and diffusion characteristics, three habitats were constructed and assigned: hypervascular habitat, hypovascular cellular habitat, and nonviable habitat. In triple-negative breast cancer (TNBC), the volume fraction is lower for hypervascular habitat and higher for nonviable habitat, with respect to non-TNBC. |
| 0074 | 8:55
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A Novel Accelerated 3D Phase-Unwrapping Method Based on Subdivided Arrays and Polynomial Modeling with Application: Dixon Water-Fat Separation |
| Junying Cheng1, Qian Zheng2, Man Xu1, Liang Liu1, Yan Cui1, Biaoshui Liu3, Yong Zhang1, Yanqiu Feng4, and Jingliang Cheng1 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou, China, 3Department of Radiation Oncology, Sun Yat-sen University CancerCenter, Guangzhou, China, 4School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China |
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Keywords: Data Processing, Data Processing, phase imaging, phase unwrapping, Dixon technique In this work, a novel robust and accelerated phase-unwrapping method is presented. The proposed method firstly introduces an artificial volume compartmentalization to break down the large-scale unwrapping problems, and then uses the phase partition method to cluster the phase into blocks to be paralleled unwrapped first, and residual-voxel to be unwrapped later. The simulated and in vivo datasets experiments have demonstrated that the proposed method allows for a reduction of the unwrapping problem size, a speed-up for handling large datasets, and obtains the accurate phase results under different SNRs and phase-change levels. |
| 0075 | 9:03
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Reducing the impact of disrupted brain regions in Diffusion Tensor Imaging with inpainting |
| Zihao Tang1,2, Xinyi Wang2, Mariano Cabezas1, Lihaowen Zhu2, Dongnan Liu1,2, Michael Barnett1,3, Weidong Cai2, and Chenyu Wang1,3 | ||
1Brain and Mind Centre, University of Sydney, Camperdown, Australia, 2School of Computer Science, University of Sydney, Camperdown, Australia, 3Sydney Neuroimaging Analysis Centre, Camperdown, Australia |
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Keywords: Data Analysis, Diffusion Tensor Imaging Diffusion Weighted Imaging (DWI) can be disrupted due to acquisition constraints or imaging artifacts, which can lead to unreliable scalar metrics calculated and valuable scans discarded as a result. To reduce the impact of disrupted brain regions in DTI, we adapted a deep learning DTI inpainting network to reconstruct the disrupted ROIs. We evaluated the performance of the method by calculating the Fractional Anisotropy errors according to each individual brain region. Experimental results show that the inpainting method can reconstruct the relevant clinical imaging information by mitigating the Fractional Anisotropy differences overall and in individual disrupted brain regions. |
| 0076 | 9:11
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Confidence Maps for Reliable Proton Density Fat-Fraction and R2* Estimation |
| Daiki Tamada1, Rianne A Van der Heijden1, Diego Hernando1,2,3,4, and Scott B Reeder1,2,4,5,6 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Data Processing, Artifacts, CSE-MRI In this work we develop a confidence map algorithm to identify reliable estimates of PDFF and R2* for CSE-MRI in the liver. Reliability of estimates is evaluated based on a normalized root-mean-square-error (NRMSE) between measured and model signals. Threshold values of the NRMSE are determined by using the Cramér–Rao Lower Bound. Monte-Carlo simulations and clinical CSE-MRI successfully validate the proposed method. |
| 0077 | 9:19
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A Novel Cross-Subject Transformer Denoising Method |
| Shoujin Huang1, Sixing Liu1, Lifeng Mei1, Chenhui Tang1, Ed X Wu2,3, and Mengye Lyu1 | ||
1College of Health Science and Environmental Engineering, ShenZhen Technology University, Shenzhen, China, 2Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China, 3Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China |
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Keywords: Data Processing, Modelling, Deep learning, Denoise In this work, we propose a new denoising method named Cross-Subject Transformer Denoising (CSTD), which transfers the texture of a reference image retrieved from a large database to the noisy image with soft attention mechanisms. The experiments on the fastMRI dataset with various noise levels show that our method is likely superior to many competing denoising algorithms including current the state-of-the-art NAFNet. Moreover, our method exhibits excellent generalizability when directly applied to in-vivo low-field data without retraining. Due to the flexibility, the method is expected to have a wide range of applications. |
| 0078 | 9:27
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Optimized 7 T Cortical Magnetization Transfer Saturation Imaging: Application to Cortical Myelin Imaging in Multiple Sclerosis |
| Risavarshni Thevakumaran1,2, Marcus Couch2,3,4, Sridar Narayanan2,3, Douglas Arnold 2,3, and David Rudko1,2,3 | ||
1Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, 2McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 3Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 4Siemens Healthcare Limited, Montreal, QC, Canada |
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Keywords: Data Processing, High-Field MRI, Quantitative MRI We designed an MRI protocol for rapid, high-resolution human cortical MTsat (csMTsat) imaging at 7 T. Our approach leveraged the PTx capability of the 7 T Siemens Terra MRI system. Further, we developed a post-processing scheme that reduces residual B1+ field bias and noise in csMTsat maps for imaging cortical myelin in the human cortex at high-resolution, which can be applied to study cortical demyelination in Multiple Sclerosis. |
| 0079
|
9:35
|
The joint registration of multiple microscopy contrasts to MRI in the BigMac dataset |
| Istvan N Huszar1, Silei Zhu2, Adele Smart2, Saad Jbabdi2, Karla L Miller2, and Amy F.D. Howard2 | ||
1Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2University of Oxford, Oxford, United Kingdom |
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Keywords: Data Processing, Data Processing, registration, microscopy, histology, postmortem, macaque We built a novel pipeline to register 290 high-resolution multi-contrast microscopy sections in the BigMac dataset to post-mortem MRI with sub-millimetre accuracy. The MRI-microscopy alignment is optimised over all microscopy sections jointly, to achieve high-quality co-registration whilst ensuring the slide order and separation is consistent with how the tissue was sectioned. We demonstrate the accuracy of the registration by overlaying FreeSurfer-estimated grey-white matter contours on orthogonal sections of 3D volumetric reconstructions of each microscopy modality. Our pipeline provides an integrated workflow for diffusion-microscopy studies using the BigMac dataset, which is openly available via the Oxford Digital Brain Bank. |
| 0080 | 9:43
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TORTOISE V4: ReImagining the NIH Diffusion MRI Processing Pipeline |
| M. Okan Irfanoglu1, Amritha Nayak1,2, Paul Taylor3, and Carlo Pierpaoli1 | ||
1QMI/NIBIB, National Institutes of Health, Bethesda, MD, United States, 2Henry Jackson Foundation, Bethesda, MD, United States, 3Scientific and Statistical Computing Core, NIMH, National Institutes of Health, Bethesda, MD, United States |
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Keywords: Data Processing, Diffusion/other diffusion imaging techniques The processing needs for diffusion MRI data have evolved over the years with data sizes getting larger, diffusion sensitization going higher. Large multi-site studies, especially on "uncooperative subjects" such as young children or patients with movement disorders increased the necessity for dMRI processing pipelines that are fast, robustly capable of handling a variety of artifacts/distortions, and that have summary reporting capabilities that can pinpoint problematic data. The NIH Diffusion MRI processing pipeline, TORTOISE, has been reimagined, redesigned and and significantly enriched to satisfy these processing needs. |
| 0081 | 9:51
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Multimodal anatomical mapping of subcortical regions in Marmoset monkeys using ultra-high resolution MAP-MRI and multiple histological stains |
| Kadharbatcha S Saleem1, Alexandru V Avram1, Daniel Glen2, Cecil Chern-Chyi Yen3, Vincent Schram4, and Peter J Basser1 | ||
1Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD-NIH), Bethesda, MD, United States, 2Scientific and Statistical Computing Core, National Institute of Mental Health (NIMH-NIH), Bethesda, MD, United States, 3Neuroimaging core, National Institute of Neurological Disorders and Stroke (NINDS-NIH), Bethesda, MD, United States, 4Microscopy and Imaging Core (MIC), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD-NIH), Bethesda, MD, United States |
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Keywords: Visualization, Ex-Vivo Applications, MAP-MRI, subcortical, histology, Marmoset, and diffusion MRI Despite its importance as a model for human brain development and neurological disorders, the marmoset lacks a comprehensive MRI-histology-based parcellation of subcortical regions. Here, we mapped the subcortical areas of the marmoset brain in three dimensions (3D) using ultra-high resolution MAP-MRI, T2w, and MTR imaging at 7T, combined with histological stains of the same brain. Our results demonstrate that MAP-MRI can delineate cytoarchitectonic subregions of many deep brain structures observed with histology. Tracing and validating these important brain regions in 3D are imperative for neurosurgical planning, navigation of deep brain stimulation probes, and establishing brain structure-function relationships. |
| 0082
|
9:59
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A Motion-Robust Slice-to-Volume Reconstruction Framework for Fetal Brain MRI |
| Junshen Xu1, Daniel Moyer2, Borjan Gagoski3, P. Ellen Grant3,4, Polina Golland5, Juan Eugenio Iglesias4,5,6,7, and Elfar Adalsteinsson1 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2Computer Science, Vanderbilt University, Nashville, TN, United States, 3Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 7Athinoula A. Martinos Center for Biomedical Imaging, Cambridge, MA, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence Volumetric reconstruction of fetal brains from multiple stacks of MR slices is challenging due to severe subject motion and image artifacts. We propose a deep learning method to solve the slice-to-volume reconstruction problem in two stages. First, a Transformer network is used to correct motion between slices by registering the input slices to a 3D canonical space. Second, an implicit neural network reconstructs the 3D volume by learning a continuous 3D representation of the fetal brain from the 2D observations. Results show that our method achieves high reconstruction quality and outperforms existing state-of-the-art methods in presence of severe fetal motion. |
| 0083 | 10:07
|
Characterising Magnetic Field Drift in Rosette-MRSI Data in-vivo |
| Sneha Vaishali Senthil1,2, Brenden Toshihide Kadota1, Peter Truong1, and Jamie Patrick Near1 | ||
1Medical Biophysics, Sunnybrook Research Institute, Toronto, ON, Canada, 2Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada |
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Keywords: Data Processing, Spectroscopy, Frequency drift correction, MRSI Field drift correction is an important post-processing step in MRS and MRSI that yields considerable improvements in spectral quality and metabolite quantification. While several drift correction methods have been proposed in single-voxel MRS, drift correction in MRSI is more challenging due to the application of phase encoding gradients. In such cases, separately acquired navigator echoes are needed. Here, we demonstrate the use of self-navigating Rosette-MRSI trajectories for characterising scanner magnetic field drift using time-domain spectral registration in-vivo. Results from the study showed substantial increases in SNR and spectral quality of the acquired data. |
| 0084 | Pitch: 8:15 Poster: 8:15 Screen 1
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Repeatability of in vivo T2 Relaxation Times Regional and Cluster Analysis in the Loaded Knee |
| Kaitlin G Sofko1, Ibukunoluwa Elebute1, Lumeng Cui2, Marianne S Black3, Natasha M Bzowey1, and Emily J McWalter4 | ||
1Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, Canada, 2Siemens Healthcare Limited, Burnaby, BC, Canada, 3Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada, 4Department of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada |
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Keywords: Cartilage, Cartilage T2 relaxation time mapping of articular cartilage is most often assessed in relaxed knees; however, it’s primary function is resisting and distributing forces. Further, most work has focused on regional analysis rather than local changes. The aim of this work was to assess the repeatability of T2 relaxation time in the loaded knees of five healthy participants using both regional and local (cluster-based) approaches. We show that regional and local assessments are sufficiently repeatable for in vivo studies. |
| 0085 | Pitch: 8:15 Poster: 8:15 Screen 2
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Differentiation of Malignant and Benign Musculoskeletal Tumors Using IVIM-DWI Versus DCE-MRI |
| Miaomiao Cheng1, Hua Zhang1, Jixian Li1, Zhiyan Xie1, Jiufa Cui1, and Xuejun Liu1 | ||
1The Affiliated Hospital of Qingdao University, Qing Dao, China |
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Keywords: Bone, Diffusion/other diffusion imaging techniques, diagnostic value This study aimed to investigate the diagnostic value of IVIM-DWI and DCE-MRI in differentiating benign and malignant musculoskeletal tumors. IVIM parameters (FP, D, and DP) were statistically compared with ADC and DCE-MRI (Ktrans, Kep, Ve, and iAUC) within two groups. D, Ktrans and Kep have good diagnostic performance in identification of benign and malignant musculoskeletal tumors, DCE-MRI and IVIM have similar diagnostic efficacy, and combining these two methods can further improve the diagnostic performance. IVIM-DWI may be an alternative to DCE-MRI in patients with contrast contraindications. |
| 0086 | Pitch: 8:15 Poster: 8:15 Screen 3
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Automated, reference-free quantification of cortical bone parameters detects impairments in postmenopausal osteoporosis |
| Brandon Clinton Jones1,2, Felix Werner Wehrli1, Nada Kamona1,2, Brian-Tinh Duc Vu1,2, Hyunyeol Lee1,3, Hee Kwon Song1, Mona al Mukaddam4, Peter J Snyder4, Trevor Chan1, Walter RT Witschey1, Matthew MacLean1, Nicholas J Josselyn1,5, Srikant Kamesh Iyer1, and Chamith Sudesh Rajapakse1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3School of Electronics, Kyungpook National University, Daegu, Korea, Republic of, 4Endocrinology, University of Pennsylvania, Philadelphia, PA, United States, 5Data Science, Worcester Polytechnic Institute, Worcester, MA, United States |
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Keywords: Bone, Aging, Osteoporosis, Porosity, ultrashort echo time While ultrashort echo time (UTE) measures of pore water have shown promise in assessing cortical bone porosity, most are hindered by the need for complicated processing and reference samples. The suppression ratio (SR) is a marker of porosity which is simply calculated as the voxel-wise ratio of two UTE magnitude images, one without and with long-T2 suppression. Automated cortical bone segmentation via deep learning showed elevated SR in postmenopausal women with osteoporosis (P=0.001) and was strongly associated with pore water density (R=0.93) and with pQCT BMD (R=-0.88). Results suggest that SR can detect elevated porosity in postmenopausal osteoporosis. |
| 0087 | Pitch: 8:15 Poster: 8:15 Screen 4
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Age and gender-dependence of T1ρ-prepared PETRA sequence in knee ligaments and tendon |
| Hector Lise de Moura1, Richard Kijowski1, Azadeh Sharafi2, Marcelo Zibetti1, and Ravinder Regatte1 | ||
1Center for Biomedical Imaging, NYU Langone Health, New York City, NY, United States, 2Medical College of Wisconsin, Wauwatosa, WI, United States |
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Keywords: Tendon/Ligament, Osteoarthritis This study was performed to investigate gender-related and age-related differences in ultra-short echo-time (UTE) T1ρ parameters in the anterior cruciate ligament (ACL), posterior cruciate ligament (PCL), and patellar tendon (PT). A pointwise encoding time reduction with radial acquisition (PETRA) sequence was used to measure single-component and multi-component PETRA-T1ρ parameters in the ACL, PCL, and PT at 3.0T in 18 healthy volunteers. There were significant correlations between age and single-component and multi-component PETRA-T1p parameters in the ACL and PCL but not the PT. There were no significant differences in PETRA-T1ρ parameters in the ACL, PCL, or PT between males and females. |
| 0088 | Pitch: 8:15 Poster: 8:15 Screen 5
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Radiomic nomograms from pre-treatment magnetic resonance imaging-based may predict high-risk cytogenetic status in multiple myeloma |
| Liu Suwei1 | ||
1Second Hospital of Lanzhou University, Lanzhou, China |
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Keywords: Skeletal, Skeletal Our study aimed to develop and validate one or more clinically relevant radiomic nomograms based on multisequence MRI radiomic features to predict the pre-treatment HRC status of patients with MM. We developed radiomic nomograms for 14 models at a single center using clinically obtained whole-spine MRI images of 159 patients with MM. This study revealed that radiomic features of pre-treatment MRI images are associated with HRC status in patients with MM. Among the proposed models, the nomograms of the FT2, FT2+1, and FT2+2+1 models were identified as outstanding at distinguishing patients with HRC from those with non-HRC status. |
| 0089 | Pitch: 8:15 Poster: 8:15 Screen 6
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A linear model analysis of pain sensitisation in knee osteoarthritis assessed by MRI in relation to the blood biomarker thrombospondin-4 |
| Franklyn A Howe1, Soraya Khoushesh2, Anna Blundell2, Christine Heron3, Vivienne Ejindu3, Abiola Harrison4, and Nidhi Sofat2,5 | ||
1Molecular and Clinical Sciences, St George's, University of London, London, United Kingdom, 2Infection & Immunity, St George's, University of London, London, United Kingdom, 3Radiology, St George's University Hospital Foundation Trust, London, United Kingdom, 4Infection & Immunity, St George's University Hospital Foundation Trust, London, United Kingdom, 5Rheumatology, St George's University Hospital Foundation Trust, London, United Kingdom |
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Keywords: Osteoarthritis, Degenerative, Pain We investigated how pain in knee osteoarthritis (OA) relates to physical damage, clinical parameters, pain sensitisation and serum levels of thrombosponin-4 (TSP4). Across all patients (mild and advanced OA), the number of osteophytes (nOst) and TSP4 levels are significant factors in determining pain levels, with BMI and HADS the strongest factors. Grouping the patients according to low and high TSP4 levels, suggests a TSP4 phenotype that relates to central sensitisation. For high TSP4, pain pressure thresholds are a significant factor in reported knee pain in addition to HADS, BMI and physical damage. |
| 0090 | Pitch: 8:15 Poster: 8:15 Screen 7
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Microcirculation in aging skeletal muscle assessed with flow-compensated Intravoxel Incoherent Motion (IVIM) |
| Valentina Mazzoli1, Marco Barbieri1, Yael Vainberg1, Michelle Li 1, Matthew Middione1, Daniel B Ennis1, Feliks Kogan1, and Garry E Gold1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Muscle, Diffusion/other diffusion imaging techniques Assessment of microcirculation is extremely important in skeletal muscle aging reasearch. While IVIM can provide extremely valuable information on perfusion, this is usually dominated by flow in larger vessel, resulting in limited sensitivity to microcirculation. In this study we propose the use of flow and non-flow-compensated diffusion encoding waveforms for IVIM of skeletal muscle. Using this approach we show diffrences in IVIM parameters between younger and older adults, and show correlation between the difference in IVIM parameters and age |
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Assessment of Osteoporosis in Lumbar Spine Using Ultrashort Echo Time Magnetization Transfer (UTE-MT) Imaging |
| Jin Liu1 and Ya-Jun Ma1 | ||
1Department of Radiology, University of California San Diego, San Diego, CA, United States |
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Keywords: Bone, Skeletal The bone collagen matrix makes a crucial contribution to the mechanical properties of bone including elasticity and tensile strength. Its changes can be accessed by the ultrashort echo time magnetization transfer (UTE-MT) technique. This study aims to investigate the feasibility of the UTE-MT ratio (UTE-MTR) in the assessment of lumbar osteoporosis (OP). Our results demonstrated that the UTE-MTR is highly correlated with bone mineral density and Fracture Risk Assessment Tool scores and has a high ability to distinguish people with different bone masses, which indicates that the UTE-MTR has great potential in the diagnosis of the patient with OP. |
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Repeatability and Sensitivity of qDESS T2 Mapping of Cartilage |
| Ashley A. Williams1, Jessica L Asay2, Daniella Asare1, Arjun D. Desai2, Gordhan B. Mahtani1, Jade He1, Adam L. C. Wadsworth1, Sachi Bansal1, Garry E. Gold2, Brian Hargreaves2, Akshay Chaudhari2, and Constance R. Chu1 | ||
1Orthopaedic Surgery, Stanford University, Stanford, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Cartilage, Relaxometry, Repeatability, T2, qDESS Intra- and inter-day repeatabilities of qDESS T2 in knee cartilage, assessed by fully-automatic segmentation using a deep-learning, open-source framework for musculoskeletal MRI analysis (DOSMA) and also by manual segmentation of tread mark regions of known tibiofemoral contact areas, were assessed and compared in 10 uninjured participants. qDESS T2 RMSA-CVs were less than 6% for all ROIs examined and showed good to excellent ICCs for the majority of ROIs assessed. A preliminary sensitivity analysis found that both segmentation schemes detected significant T2 changes over time in lateral tibial cartilage while only DOSMA segmentation detected T2 change to medial tibial cartilage. |
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Assessment of the sacroiliac joint in patients with ankylosing spondylitis by three-dimensional ultrashort echo time MRI |
| Cui Ren1, Qing Li2, Qiao Zhu1, Sommer Stefan3,4,5, and Huishu Yuan1 | ||
1Peking University Third Hospital, Beijing, China, 2MR Collaborations, Siemens Healthineers Ltd, Shanghai, China, 3Siemens Healthineers International AG, Zurich, Switzerland, 4Swiss Center for Musculoskeletal Imaging (SCMI), Zurich, Switzerland, 5Advanced Clinical Imaging Technology (ACIT), Zurich, Switzerland |
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Keywords: Joints, Cartilage, sacroiliac joint To assess the diagnostic performance of three-dimensional ultrashort echo time sequence (3D-UTE) in bone erosion detection of the sacroiliac joint (SIJ) in patients with ankylosing spondylitis (AS) and to test whether SIJ cartilage T2 * values might help in identification of patients with AS. |
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Contraction characteristics of the triceps surae in muscular diseases assessed by 3D dynamic imaging with synchronized electrical stimulation |
| Francesco Santini1,2, Xeni Deligianni1,2, Matteo Paoletti3, Sabrina Ravaglia3, Arianna Faggioli3, Ning Jin4, and Anna Pichiecchio3,5 | ||
1Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 2Research Coordination Team, Department of Radiology, University Hospital Basel, Basel, Switzerland, 3Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy, 4Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Cleveland, OH, United States, 5Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy |
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Keywords: Muscle, Rare disease, Dynamic MRI, Muscle Function Accelerated three-dimensional. three-directional dynamic acquisition of muscle contraction during electrical muscle stimulation was applied on a cohort of 10 patients with metabolic diseases affecting the muscles and 14 healthy controls. Maximum strain and contraction rates were calculated on the three muscles of the triceps surae. The strain and the buildup rate (rate to reach maximum strain) showed a clear trend for the differentiation of patients and volunteers, especially in the Soleus muscle. In conclusion, dynamic muscle MRI during electrical stimulation is a promising marker for muscle health in muscular diseases. |
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Longitudinal evaluation of the muscles of patients with Myotonic Dystrophy type 1 treated by metformin, using quantitative 1H and 23Na MRI |
| Benjamin Marty1, Pierre-Yves Baudin1, Aurélie Canal2, Jean-Yves Hogrel2, Melinda Gyenge3, Nuria Jebrouni3, Teresa Gerhalter4, Armin M Nagel4, Harmen Reyngoudt1, and Guillaume Bassez3 | ||
1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France, 2Neuromuscular Physiology and Evaluation Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France, 3Institute of Myology, Paris, France, 4Institute of Radiology, University Hospital Erlangen, FAU, Erlangen, Germany |
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Keywords: Muscle, Tissue Characterization Myotonic dystrophy type 1 (DM1) is a neuromuscular disorder resulting in progressive muscle wasting and dysfunction. We aimed at determining the relationship between several 1H and 23Na MRI indices of disease severity and disease activity in the muscles of DM1 patients, and evaluating their response to a 12-month metformin treatment. We showed that these indices could differentiate DM1 patients from healthy controls. Variables related to disease severity correlated with functional tests and indices related to disease activity were increased and mutually correlated. Over the 12-months treatment interval, MRI variables were more sensitive than functional outcomes to detect disease progression. |
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Fibromyalgia associates with pain-promoting and inhibitory functional connectivity of the default mode network in psoriatic arthritis. |
| Kristian Stefanov1, Flavia Sunzini1, Salim Al-Wasity1, Steven Harte2, Richard Harris3, Daniel J. Clauw2, Gordon Waiter4, Jonathan Cavanagh1, and Neil Basu1 | ||
1School of Infection & Immunity, University of Glasgow, Glasgow, United Kingdom, 2Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States, 3University of Michigan, Ann Arbor, MI, United States, 4Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom |
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Keywords: Rheumatoid Arthritis, Brain Connectivity, Brain, fMRI (Resting State), Inflammation, Multimodal Patients with the musculoskeletal disorder psoriatic arthritis improve their inflammation with current treatments but still experience pain. Previous neuroimaging findings have identified functional connectivity of the resting-state default mode network and we explored how such features associate with nociplastic pain using both agonistic and selective approaches. We observed increased connectivity between the default mode network and regions of the brain related to both increased pain intensity and decreased pain inhibition. The implications of such findings shift the focus onto targeting central pain pathways in people with psoriatic arthritis. |
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Sensitivity and Reproducibility of MRI Detection of Hourglass-Like Constrictions in Parsonage-Turner Syndrome |
| Clare Nimura1, Darryl Sneag1, Philip Colucci1, Casey Urban2, Tim Li3, Emily Pedrick1, Joseph Feinberg4, Carlo Milani4, and Ek Tsoon Tan1 | ||
1Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Hand and Upper Extremity Service, Hospital for Special Surgery, New York, NY, United States, 3Weill Cornell Medical College, New York, NY, United States, 4Department of Physiatry, Hospital for Special Surgery, New York, NY, United States |
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Keywords: Neurography, Nerves, Parsonage-Turner syndrome; electromyography A retrospective analysis of 123 patients diagnosed with Parsonage-Turner Syndrome (PTS; neuralgic amyotrophy) found that magnetic resonance neurography (MRN)-based detection of hourglass-like constrictions (HGCs) in affected nerves was 91.2-92.0% sensitive to electromyography-confirmed PTS. Post-hoc inter-rater reliability analysis revealed an inter-reliability of 91.3-94.3% for detection of HGCs. This retrospective study confirmed that MRN detection of HGCs is sensitive and reliable for diagnosing PTS and may be used as an objective diagnostic tool for the syndrome. |
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IVIM-corrected DTI in acute hamstring injury in a clinically feasible acquisition time: a high-b DTI and multiband acceleration approach |
| Susanne S. Rauh1, Joep Suskens2, Jithsa R. Monte3, Frank Smithuis3, Oliver J. Gurney-Champion3, Johannes L. Tol2, Mario Maas3, Aart J. Nederveen3, Gustav J. Strijkers1, and Melissa T. Hooijmans3 | ||
1Department of Biomedical Engineering and Physics, Amsterdam Movement Sciences, Amsterdam UMC, location AMC, Amsterdam, Netherlands, 2Department of Orthopedic Surgery, Amsterdam UMC, location AMC, Amsterdam, Netherlands, 3Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, Netherlands |
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Keywords: Muscle, Diffusion Tensor Imaging Diffusion tensor imaging (DTI) with correction for intravoxel incoherent motion (IVIM) is a potential biomarker to assess hamstring injury recovery and predict return-to-play time. However, the long acquisition times hinder the use in clinical practice. By accelerating in the b-value space and using multiband acceleration the scan time can be reduced to clinically acceptable levels. In this work we showed that those methods preserve the sensitivity to hamstring injuries and that high-b DTI in combination with multiband factor 2 can reduce the scan time to 3:40min. |
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Development and Analysis of MRI-Derived Carpal Motion Data Elements |
| Kevin Koch1, Andrew S Nencka1, Mohammad Zarenia2, and Rajeev Mannem1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Joints, Joints We present the construction and analysis of dynamic carpal data elements derived from 4D-MRI of the moving wrist. Across a clinically asymptomatic cohort of 31 subjects, dynamic data elements were constructed from capitate-normalized profiles of the scaphoid and lunate bones in a subject-specific radius-based coordinate system. Along with computing stability estimates of these measures, they are utilized to perform preliminary logistic regression modeling of radiologically-identified asymptomatic abnormalities within the study cohort. The results of this analysis suggests that the derived data elements have promising capabilities for characterizing carpal pathology and abnormalities. |
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Lower limb muscle-water T2 as a marker of disease severity and progression in amyotrophic lateral sclerosis |
| Nick Zafeiropoulos1, Uros Klickovic1, Luca Zampedri1, Stephen Wastling1, Jasper Morrow1, Tarek Yousry1, Michael Hanna1, Linda Greensmith1, Pietro Fratta1, and John Thornton1 | ||
1Queen Square Institute of Neurology, University College London, London, United Kingdom |
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Keywords: Muscle, Quantitative Imaging Using optimised maximum-likelihood-estimation extended-phase-graph-model relaxometry in ALS patients, elevated muscle water T2 (T2m) were revealed for all calf muscles and most thigh muscles vs. controls, with evidence of sparing of particular muscles. Similar but les consistent increases were seen in the associated fat fraction (ffa, relaxometry estimated). T2m correlated significantly with both functional rating scores and myometry, most consistently at the calf level. Associated ffa changes and correlations were less significant. |
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Towards the understanding of the the role of Functional strength markers in Cartilage-Bone Cross Talk: a PET/MRI study in isolated PFJOA patients |
| Rupsa Bhattacharjee1, Eric C. Hammond2, Koren E. Roach1, Emma Bahroos1, Richard B. Souza1,2, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco (UCSF), San Francisco, CA, United States, 2Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco (UCSF), San Francisco, CA, United States |
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Keywords: Bone, PET/MR, SUV, T1rho, flexion strength, extension strength, patellofemoral OA, Cartilage-Bone-CrossTalk In this exploratory study, we investigated standardized-uptake-values(SUV) from simultaneous bilateral PET-MRI, and individual joint loading in knees cross-sectionally in patients with isolated PFJOA. Additionally, to discover regions of colocalized changes in bone-cartilage interactions, we explored SUV interactions with cartilage biomarker T1rho relaxation values from high-resolution bilateral axial MAPSS. Strong negative correlations were between knee normalized isometric strength vs. maximum SUV in the lateral patella and medial trochlea, suggest higher degree of ongoing bone-remodelling combined with decreased knee flexion and extention strength. The existance of parallel higher trochlear bone remodelling and cartilage loss (disease progression) or vice-versa was also noted. |
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Muscle magnetization transfer ratio is promising biomarker of hereditary neuropathy with liability to pressure palsy |
| Alison R Roth1, Ashley J Minks1, Yongsheng Chen2, Jun Li3, and Richard D Dortch1 | ||
1Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States, 2Department of Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 3Department of Neurology, Houston Methodist Hospital, Houston, TX, United States |
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Keywords: Muscle, CEST & MT Magnetization transfer ratio (MTR) and volume of thigh muscles were investigated as imaging biomarkers in Charcot-Marie-Tooth type 1A (CMT1A) and hereditary neuropathy with liability to pressure palsy (HNPP) patients. MTR was significantly different between HNPP and healthy control subjects; muscle volume was significantly different between CMT1A patients and healthy control subjects and HNPP patients. MTR and volume were found to be repeatable and reliable. |
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Association Between Ultrashort Echo-Time T2* Parameters and Clinical Outcome in an RCT of Patellar Tendinopathy |
| Rianne A van der Heijden1, Robert Moskwa2, Fang Liu3, John Wilson4, Bryan Heiderscheit4, Scott J Hetzel5, Zachary E Stewart3, Kenneth Lee1, and Richard Kijowski6 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States, 4Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Tendon/Ligament, Quantitative Imaging, UTE This study was performed to investigate the association between bi-component UTE-T2* parameter of the patellar tendon and clinical pain scores over time in a randomized control trial for patellar tendinopathy (PT). The fraction of the fast-relaxing macromolecular bound water (FF) of the proximal patellar tendon and VAS pain scores were assessed at 0, 16 and 52-weeks in 29 patients with PT randomized into three treatment groups. All treatment groups showed a significant improvement (p<0.05) in pain and a significant increase (p<0.05) in FF over time, with a significant inverse correlation (p<0.05) between the increase in FF and decreased pain. |
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Tensors and Tracts at 64 mT |
| Alix Plumley1, Francesco Padormo2, Mara Cercignani1, Rafael O'Halloran2, Rui Teixeira2, Álvaro Planchuelo-Gómez1,3, Antoine Legouhy4, Tianrui Luo2, and Derek K Jones1 | ||
1Cardiff University, Cardiff, United Kingdom, 2Hyperfine Inc., Guilford, CT, United States, 3University of Valladolid, Valladolid, Spain, 4University College London, London, United Kingdom |
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Keywords: Data Analysis, Low-Field MRI, Diffusion Tensor Imaging We present the first ever demonstration of Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) including quantitative measures of mean diffusivity, fractional anisotropy, and successful tractographic reconstruction of projection and commissural pathways on a portable system operating at 64 mT. |
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Migration of Potential Microstructural Markers of AD by High-Resolution Hippocampal Diffusion MRI |
| Courtney Joy Comrie1, Samantha Schatz1, Kevin Johnson1, Scott Squire1, Nan-kuei Chen1, and Elizabeth Hutchinson1 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States |
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Keywords: Data Acquisition, Alzheimer's Disease Diffusion MRI has been identified as a promising tool for identifying novel and early makers of AD and comorbid pathology. This study worked towards translating advanced microstructural techniques to clinical acquisitions for the purpose of potential AD diagnosis. High resolution diffusion human data was acquired using a 4-way phase-encoding and specialized hippocampal FOV in healthy subjects for method development. High quality maps were achieved that revealed more hippocampal microstructural information than what is acquired in database protocols according to preliminary results. |
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High Resolution Diffusion Tensor Imaging using Rapid Single-Slab 3D EPI Encoding |
| Hyunkyung Maeng1 and Jaeseok Park1,2 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
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Keywords: Data Acquisition, Diffusion Tensor Imaging, High resolution 3D DTI To propose an accelerated high resolution whole brain DTI and investigate its feasibility (1.0$$$mm^3$$$ isotropic spatial resolution, imaging time ~ 15 min) |
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Adaptive Magnetic Resonance |
| Assaf Tal1, Inbal Beracha1, and Amir Seginer2 | ||
1Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2Siemens Healthcare Ltd., Rosh Haayeen, Israel |
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Keywords: Hybrid & Novel Systems Technology, Pulse Sequence Design, Accelerating data acquisition We present a completely general framework for adaptively changing the radiofrequency pulses and delays in real time in response to incoming data from the subject within the scanner. This "personalized-radiology" framework is shown to increase the precision of T2 estimation for n-acetyl-aspartate in-vivo by a factor of 1.7, and accelerate its acquisition 2.5-fold.
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Efficient iT2prep-BOOST for simultaneous contrast-free 3D aortic lumen and vessel wall imaging for the assessment of thoracic aortopathy |
| Anastasia Fotaki1, Camila Munoz1, Alina Hua1, Karl P Kunze1,2, Radhouene Neji3, Kuberan Pushparajah1, Rene M Botnar4,5,6,7, and Claudia Prieto4,5,6,7 | ||
1King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Camberely, United Kingdom, 4Biomedical Engineering, King's College London, London, United Kingdom, 5Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 7School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Data Acquisition, Cardiovascular, aorta Bright- and black-blood MRI sequences are clinically acquired sequentially, for aortic lumen and vessel wall imaging respectively, in patients with thoracic aortic disease. A novel, free-breathing, 3D sequence (iT2prep-BOOST) is proposed for contrast-free simultaneous depiction of lumen and vessel wall. We clinically validated the iT2prep-BOOST in a cohort of 25 patients with thoracic aortic disease against the conventional bright-blood T2-prep bSSFP sequence and black-blood 2D HASTE. Quantitative and qualitative image quality assessment demonstrated that iT2Prep-BOOST enabled time-efficient, bright- and black-blood aortic imaging, with improved image quality compared to conventional approaches, and comparable measurements for aortic wall and lumen dimensions. |
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A 3D dual-echo spiral sequence for dynamic susceptibility contrast imaging |
| Zhiqiang Li1, Poonam Choudhary1, Dinghui Wang2, Sudarshan Ragunathan1, Melvyn B Ooi3, John P Karis1, James G Pipe2, Ashley M Stokes1, and C Chad Quarles1,4 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Mayo Clinic, Rochester, MN, United States, 3Philips Healthcare, Houston, TX, United States, 4The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Pulse Sequence Design, DSC & DCE Perfusion, spiral, perfusion, quantitative imaging Dynamic susceptibility contrast (DSC)-MRI is an important tool to assess brain tumor status for diagnosis, surgical planning, and surveillance. Dual-echo EPI based DSC-MRI enables accurate perfusion measurements using a single-dose of contrast agent, simultaneous DSC- and dynamic contrast enhanced (DCE)-MRI measures and greater parameter flexibility. However, EPI-related distortion artifacts impair its clinical utility. In this work, we proposed a 3D dual-echo spiral acquisition to mitigate EPI-related artifacts, and improve the fidelity of DCE-MRI derived parameters and arterial input function estimation. Preliminary data from volunteers and a glioma tumor patient showed reduced geometric distortion, increased temporal SNR, and accurate perfusion measurements. |
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Multi-contrast Imaging using Dual-pathway Echo-planar Imaging Sequence |
| Silu Han1, Sudhir Ramanna1, and Nan-kuei Chen1,2 | ||
1Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, United States, 2BIO5 Institute, The University of Arizona, Tucson, AZ, United States |
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Keywords: Pulse Sequence Design, Brain Multi-contrast imaging, commonly acquired with spoiled gradient recalled echo (SPGR) in clinical routine examinations, has less-than-optimal scan efficiency1. Dual-pathway sequences, such as double-echo steady-state (DESS) and inverse double-echo steady-state (iDESS), have been developed to improve signal-to-noise ratio (SNR) and scan efficiency as compared with SPGR2. Here we propose to further combine DESS/iDESS sequences and echo-planar imaging (EPI) to enhance scan efficiency, with significant implications to temperature mapping and parametric mapping (e.g., T1-, T2-, T2*-mapping and B0-field mapping, quantitative susceptibility mapping (QSM)3, 4). |
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Simultaneous Brain and Neck Time of Flight using Spiral Multiband with Localized Quadratic Encoding |
| Xi Peng1, Dinghui Wang1, Guruprasad Krishnamoorthy1,2, Daniel D. Borup1,2, and James G. Pipe1 | ||
1Mayo Clinic, Rochester, MN, United States, 2Philips Healthcare, Rochester, MN, United States |
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Keywords: New Trajectories & Spatial Encoding Methods, Blood vessels A spiral multiband localized quadratic encoding (LQE) method is proposed to achieve simultaneous brain and neck time of flight MRA within a single 2.5-minute scan. LQE acquisition is efficient for both SNR and in-flow enhancement. Multi-band LQE enables increased coverage with no increase in scan time, but can introduce venous signal contamination. We propose a multi-band LQE approach with TONE and partial-Fourier slice selection to reduce the venous signal and achieve simultaneous time-of-flight MRA of intracranial and carotid arteries. |
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High-fidelity PSF reconstruction for fast and silent MRI using nonlinear spatially encoding gradient fields switched at 20kHz |
| Michael JB McGrory1, Edwin Versteeg1, Alessando Sbrizzi1, Cornelis AT van den Berg1, Dennis WJ Klomp1, and Jeroen CW Siero1,2 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Spinoza Center for Neuroimaging, Amsterdam, Netherlands |
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Keywords: Gradients, Gradients Acoustic noise in MRI scans can be reduced by utilising gradient switching frequencies at 20kHz. High slew rates required to achieve such high-frequency switching can lead to peripheral nerve stimulation (PNS), adding difficulty for application to whole-body gradients. Instead, nonlinear encoding gradients have been shown to limit PNS while achieving desired slew rates. In this work, we show the feasibility of using a nonlinear silent gradient for spatial encoding by employing a PSF-based reconstruction and investigate image fidelity on a 4-fold accelerated in-vivo scan. This method could potentially be utilised for a whole-body gradient design for silent and fast MRI. |
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Fast localized calibration for spatial-spectral excitation without fly-back gradients |
| Michael Schär1, Robert G Weiss2, and Allison G Hays2 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Pulse Sequence Design, RF Pulse Design & Fields, calibration, localized calibration, spectral-spatial, fat suppression Spiral MRI requires fat suppression because fat and other off-resonant spins are blurred. For fast cardiac spiral MRI at 3T, spectral-spatial water-only excitation is often used. Standard spectral-spatial pulses apply a fly-back gradient, limiting how thin the slices can be (>4mm). Without fly-back gradients slices can be as thin as ~1.7mm, but require a phase calibration for the radiofrequency sub-pulses with inverted gradients due to system imperfections. Here we propose and test a fast (<1s), localized pre scan enabling thin-slice water only excitation. As a potential application we show spiral multi-slice coronary angiography images acquired in a single breath-hold. |
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Development of a Pulse Sequence with Alternating Excitation for Respiratory-Sorted B1+ and B0 Field Mapping in 23Na Human Torso MRI |
| Jana Felz1,2, Fabian J. Kratzer1, Armin M. Nagel1,3, Peter Bachert1,2, Mark E. Ladd1,2,4, and Tanja Platt1 | ||
1Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Erlangen, Germany, 4Faculty of Medicine, Heidelberg University, Heidelberg, Germany |
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Keywords: Pulse Sequence Design, Non-Proton, High-Field MRI, Body, 23Na MRI, Field Mapping 23Na MRI is a promising imaging method, but suffers from lower SNR, hence from longer acquisition times and lower image resolution than 1H MRI. Especially in the torso, motion and magnetic field inhomogeneities impede quantitative analysis of 23Na concentrations. To tackle this, a new pulse sequence is presented that yields self-gated respiratory-sorted B1+ and B0 maps from a single measurement. B1+ mapping with the new sequence is less prone to motion artefacts, since k-space projections of two flip angles are acquired in an interleaved manner. This reduces the influence of varying respiration, which can lead to artefacts in conventional mapping. |
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Advanced Spatial-Spectral Pulse Design for Metabolite Specific Filtered CEST in the Human Heart |
| Cindy Ayala1, Huiwen Luo2, Kevin Godines1, William Grissom2, and Moriel Vandsburger1 | ||
1University of California, Berkeley, Berkeley, CA, United States, 2Vanderbilt University, Nashville, TN, United States |
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Keywords: Pulse Sequence Design, CEST & MT Chemical Exchange Saturation Transfer (CEST) MRI has been used to probe metabolism via total creatine contrast using conventional contrast generation with Gaussian saturation. We developed a spatial-spectral (SPSP) saturation pulsed CEST protocol to separate the contrast generated by metabolic subcomponents creatine and phosphocreatine (PCr) in phantoms and the human heart (n=10). Phantom studies revealed uniform CEST contrast for creatine and PCr following saturation with Gaussian pulses, and selective PCr contrast following saturation with SPSP pulses. Human studies revealed both enhanced B1-uniformity and selective PCr contrast with SPSP saturation, enabling quantitation of the PCr/total creatine ratio in the myocardium. |
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Accelerating Dynamic Imaging in SimulScan: Simultaneous Functional MRI and Dynamic Imaging of Tongue Motion |
| Bradley P. Sutton1,2,3, Georgia A. Malandraki4, Riwei Jin1,3, Charles Marchini1,3, Aaron Anderson3, Paul Arnold2,3,5, and Zhi-Pei Liang2,6 | ||
1Bioengineering, University of Illinois Urbana Champaign, Urbana, IL, United States, 2Carle Illinois College of Medicine, Urbana, IL, United States, 3Beckman Institute, University of Illinois Urbana Champaign, Urbana, IL, United States, 4Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, United States, 5Neuroscience Institute, Carle Foundation Hospital, Urbana, IL, United States, 6Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, IL, United States |
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Keywords: Data Acquisition, fMRI (task based) Leveraging low rank and Partial Separability models, the SimulScan sequence and reconstruction was updated to drastically improve the quality and speed of dynamic imaging. This enables simultaneous functional MRI and dynamic imaging of oropharyngeal motions to be examined despite the many air/tissue interfaces. We demonstrate the improvement on a healthy adult performing a self-paced tongue tapping during the scan. The improved imaging will enable the examination of neural control of fine scale articulatory and oral movements critical for speech, feeding, and swallowing events. |
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Radial MP2RAGE combined with binomial pulses for multi-parametric (T1 and PDFF) abdominal mapping. |
| François E Maingault1, William Lefrançois1, Nadège Corbin1, Aurélien J Trotier1, Laurence Dallet1, Eric Thiaudière1, Sylvain Miraux1, and Emeline EJ Ribot1 | ||
1Centre de Résonance Magnétique des Systèmes Biologiques, UMR5536, CNRS/Université de Bordeaux, Bordeaux, France |
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Keywords: Pulse Sequence Design, Fat, Water, pdff, Abdomen A 3D radial-encoding MP2RAGE sequence was developed with binomial pulses within the GRE trains. These give the possibility to obtain water-specific, fat- specific or composite 3D T1-maps of the abdominal cavity during free-breathing in less than 10 minutes. A 3D Proton Density Fat Fraction (PDFF) map can also be determined with the same scan. The T1 values are similar with the standard MP2RAGE and the PDFF correspond to the ones obtained with MR spectroscopy. A test-retest on healthy volunteers shows the good reproducibility of the method. |
| 0118 | Pitch: 8:15 Poster: 8:15 Screen 35
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Improving 3D-T1rho Mapping of the Human Brain Using Optimized Variable Flip-Angles and Weighted Spin-Lock Pulses |
| Marcelo V. W. Zibetti1, Rajiv Menon1, Hector L. De Moura1, Mahesh B. Keerthivasan2, and Ravinder R. Regatte1 | ||
1Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Siemens Medical Solutions, Malvern, PA, United States |
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Keywords: Data Acquisition, Pulse Sequence Design, optimization This study shows 3D-T1rho mapping of the human brain using optimized variable flip-angles (OVFAs) and weighted spin-lock pulses (WSLP). Our preliminary results suggest that the proposed sequence based on OVFAs and WSLP can improve SNR by almost 3X in brain T1rho mapping, reduces data acquisition time by half, and improve the mean of normalized absolute deviation (MNAD) compared to MAPSS sequence for the same application. |
| 0119 | Pitch: 8:15 Poster: 8:15 Screen 36
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Spherical Echo-Planar Time-resolved Imaging (sEPTI) for 3D highly-accelerated, distortion-free, time-resolved whole-brain T2* mapping |
| Nan Wang1, Yannick WE Brackenier1, Congyu Liao1, Siddharth Srinivasan Iyer1,2, Xiaozhi Cao1, Justin Haldar3, and Kawin Setsompop1,4 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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Keywords: Data Acquisition, Data Acquisition, Echo-planar imaging, time-resolved imaging EPTI is a rapid time-resolved quantitative imaging method. In this work, we developed a spherical EPTI sampling trajectory (sEPTI) to improve its speed. To achieve fast imaging, sEPTI traverses a tight 3D spherical k-space using full ramp-sampling and variable echo-spacing, which also desirably increases its spatiotemporal incoherency. sEPTI was demonstrated in vivo to provide improved imaging performance over conventional block 3D-EPTI that requires 1.4x longer scan; achieving high-quality 1mm isotropic whole-brain proton-density and T2* maps in 48s. As part of this work, a novel and effective reconstruction approach to mitigate high-spatial-order ghosts in echo-planar acquisitions was also developed. |
| 0120 | Pitch: 8:15 Poster: 8:15 Screen 37
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Ultrashort-echo time magnetization transfer (UTE-MT) for brain iron imaging |
| Humberto Monsivais1, Gianna Nossa1, Seokkyoon Hong2, Taewoong Park2, Fethi Sila Erdil1, Xin Shen3, Antonia Susnjar2, Ali Özen4, Serhat Ilbey4, Mark Chiew5, Jessica Huber6, Ulrike Dydak1,7, and Uzay Emir1,2 | ||
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Radiology, University of California San Francisco, San Francisco, CA, United States, 4Department of Radiology, Medical Physics, University of Freiburg, Freiburg, Germany, 5Welcome Centre for Integrative Neuroimaging, University of Oxford, England, United Kingdom, 6Department of Audiology and Speech Sciences, Purdue University, West Lafayette, IN, United States, 7Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States |
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Keywords: Contrast Mechanisms, Brain We have established a novel 3D dual-echo UTE-MT imaging method to assess hyperintense T1w signal in iron-rich brain areas by eliminating the ultra-short T2 constituents of the myelin signal via the magnetization transfer (MT) technique. Our preliminary results show improved positive image contrast in deep brain areas such as the substantia nigra (SN) and the LC. Other iron-rich areas in the basal ganglia (globus pallidus and putamen) also show improved contrast. |
| 0121 | Pitch: 8:15 Poster: 8:15 Screen 38
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Ultrashort Echo Time Single Point Dixon Using 3D Phase Modeling |
| Nathan Newbury1, Sam Sedaghat1, Jiyo Athertya1, Michael Carl2, Jiang Du1, and Hyungseok Jang1 | ||
1Department of Radiology, University of California San Diego, La Jolla, CA, United States, 2GE Healthcare, La Jolla, CA, United States |
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Keywords: Fat, MSK Fat signals can obscure morphological structures and influence quantitative parameter mapping in ultrashort echo time (UTE) musculoskeletal MRI. However, conventional fat suppression methods have challenges in UTE imaging of short T2 species. For example, the chemical-shift based fat saturation can significantly attenuate short T2 signals with broad spectra, and water excitation with long composite pulses may yield a long minimum echo time (TE). Alternatively, the feasibility of single-point Dixon (1p-Dixon) has been demonstrated for UTE imaging. In this study, we investigate the feasibility of 1p-Dixon based on the 3D phase modeling approach, which achieves fat suppression without additional data acquisition. |
| 0122 | Pitch: 8:15 Poster: 8:15 Screen 39
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Accelerated single UTE-Dixon for simultaneous short T2*water and fat imaging using a FLORET trajectory |
| Anh T. Van1, Kilian Weiss2, Georg C. Feuerriegel1, Philipp Braun1, Guruprasad Krishnamoorthy3,4, Alexandra S. Gersing1, James G. Pipe4, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Philips Healthcare, Rochester, MN, United States, 4Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States |
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Keywords: Bone, Skeletal Ultra-short echo time (UTE) imaging enables the depiction of short-T2* tissues and is being increasingly used for the generation of CT-like bone images. UTE imaging has been recently combined with single-echo Dixon processing to enable the separation of water and fat signals from a single echo UTE image, but was primarily previously employed in radial stack-of-stars UTE acquisitions with prolonged scan durations. The present work combines single UTE-Dixon processing with a Fermat looped, orthogonally encoded trajectory (FLORET) to enable accelerated simultaneous short T2* water- and fat-separated imaging at sub-millimeter isotropic resolution. The technique is applied in the ankle. |
| 0123 | Pitch: 8:15 Poster: 8:15 Screen 40
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Characterization of the R2*/R2 ratio of the BOLD laminar-specificity through biophysical simulations using realistic vascular architectures |
| Mario Gilberto Báez-Yáñez1, Vanja Curcic1, Jeroen Siero1, Matthias J.P. van Osch2, and Natalia Petridou1 | ||
1Department of Radiology, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, 2C.J. Gorter MRI Center, LUMC, Leiden, Netherlands |
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Keywords: Signal Modeling, fMRI GE-BOLD fMRI is the most used technique to measure functional hyperemia across cortical depth. GE-BOLD is sensitive towards all vascular contributions, while SE-BOLD increases the specificity towards small vessels– being more specific to neuronal activity. However, SE-BOLD fMRI measurements may not completely remove the macrovascular contribution. Using realistic vascular models, we simulated specific oxygenation states in different vascular compartments to characterize the GE-and SE-BOLD specificity across cortical depth quantified through the R2*/R2-ratio. Simulations show 1)similar ratio values at deeper layers indicating comparable specificity to microvessels for both sequences, 2)layer-fMRI SE-BOLD cannot completely eliminate the macrovascular contribution towards the pial surface. |
| 10:30 | Crossing Borders in Preclinical Research |
| Eduardo A. Garza-Villarreal1 | |
1Universidad Nacional Autonoma de Mexico, Mexico |
| 11:00 | Ethically Sound Research in Healthy Volunteers & Patients |
| Hui Mao1 | |
1Emory University School of Medicine, United States |
| 11:30 | Publish or Perish: Maintaining Scientific Integrity |
| Linda Moy1 | |
1New York University Cancer Institute, United States |
13:45
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Making the diagnosis: Pediatric Neuroinflammatory Diseases of the Central Nervous System | |
| Ann Yeh1 | ||
1Sick Kids, Toronto, Toronto, Canada |
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Keywords: Neuro: Brain Knowledge about pediatric neuroinflammatory disorders has increased tremendously over the past decade, driven largely by increased knowledge about MRI patterns together with identification of disease specific biomarkers. This talk will review changing diagnostic categories in pediatric neuroinflammatory conditions, with a specific focus on diagnostics and MRI pattern recognition for neuroinflammatory entities including MS, MOG related disorders in children, ANEC, and AFM. |
14:15
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MRI of Neonatal Brain Infections | |
| Rupa Radhakrishnan1 | ||
1Indiana University, Indianapolis, IN, United States |
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Keywords: Neuro: Brain The objectives of this presentation are to a) review the MRI presentations of common congenital and acquired infections in the neonate and young infant b) understand how presentations of brain infections in the perinatal period are different from presentations in older children and adults, c) recognize the impact of early life neuroinfections on brain development, and d) highlight some common mimics of neonatal brain infections. |
14:45
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Pediatric Autoimmune Encephalitis | |
| Yi Li1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Neuro: Brain Pediatric autoimmune encephalitis is an immune-mediated, often treatable, cause of encephalopathy and neurologic dysfunction in children. This presentation will cover an overview of the diagnosis, most common auto-antibodies, and associated MRI brain findings. |
15:15
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Pediatric Post-Traumatic Neuroinflammation | |
| Yun Peng1 | ||
1Beijing Children's Hospital, Beijing, China |
13:45
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Head Motion Correction Devices | |
| Tess Wallace1 | ||
1Siemens Medical Solutions USA Inc., Boston, MA, United States |
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Keywords: Image acquisition: Motion correction This talk will provide an overview of sensors used for monitoring head motion in MRI. We will discuss how sensor information may be used to adapt the acquisition and/or reconstruction to improve image quality, as well as sensor requirements to accurately compensate for motion. Here, we classify external sensors into three broad categories – optical, electromagnetic, and mechanical, and discuss the principles by which each sensor measures motion. Finally, we will discuss the advantages and challenges of integrating external sensors with the MRI acquisition and future directions, including sensor fusion and the role of AI in improving sensor-based motion compensation. |
14:15
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Cardiovascular Motion Correction Devices | |
| Hajime Sakuma1 | ||
1Mie University Hospital, Japan |
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Keywords: Cardiovascular: Cardiac The heart exhibits complex motion due to cardiac contraction and respiration. ECG and diaphragm navigators have been commonly used for the past two decades. However, these classic techniques have limitations such as distortion of ECG due to magnetohydrodynamic effects. Self-gating directly extracts physiological motion from the image data, allowing 5D imaging of coronary arteries without ECG. Pilot tone utilizes a small antenna to transmit a continuous RF and MR receiver coils to capture modulated RF signal by cardiac and respiratory motion. External devices such as Doppler ultrasound, acoustic sensors and photoplethysmography have also emerged as methods alternatives to ECG gating. |
14:45
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Motion Correction Devices for Abdominal Imaging | |
| Bruno Quesson1 | ||
1IHU LIRYC/RMSB UMR 5536, France |
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Keywords: Image acquisition: Motion correction, Body: Liver, Contrast mechanisms: Thermometry this presentation wil cover several technologies for measuring and compensating motion in abdominal imaging. |
15:15
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A Hands-On Introduction to Motion Correction with Pilot Tone | |
| Peter Speier1 | ||
1Siemens Healthcare GmbH, Germany |
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Keywords: Image acquisition: Motion correction, Body: Respiratory, Physics & Engineering: Hardware Pilot Tone has emerged recently as a versatile motion correction method with minimum hardware requirements. The presentation gives a hands-on introduction to implementing Pilot Tone to any MR scanner that allows access to the raw MR data. It starts with a basic setup, discusses the frequency selection, PT signal detection and extraction of physiologic information. Then it describes how to take two common hurdles for general use: Eddy current effects and RF artefacts. Finally, the benefits of local PT generation will be described together with a few examples. |
13:45
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Why Physicians Should Adopt New Neuro MRI Methods | |
| Kawin Setsompop1 | ||
1Stanford University School of Medicine, United States |
14:05
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MR Techniques: From Engineering to Optimization for Clinical Practice | |
| Christopher Hess1 | ||
1UCSF, United States |
14:25
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Changing Clinical Practice: Cardiac MRI To Assess & Quantify Heart Disease | |
| Jeanette Schulz-Menger1 | ||
1Charite Campus Buch/HELIOS Clinics, Germany |
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Keywords: Cardiovascular: Cardiac, Cardiovascular: Myocardium, Cardiovascular: Hemodynamics Cardiovascular MRI (CMR) is meanwhile used in clinical routine to diagnose different disease, but also to guide therapeutic decision making. In the Guidelines of the European Society of Cardiology CMR plays an increasing role for the assessment of ischemic as well as non-ischemic heart diseases. Most of the clinical decisions are based on quantitative parameters describing the function and morphology of the heart as well as the myocardial tissue properties and hemodynamic parameter of the vessels. To provide reliable and meaningful results a quality assurance is mandatory. |
14:45
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Deploying Artificial Intelligence in a Radiology Workflow | |
| Florian Knoll1 | ||
1FAU Erlangen Nuremberg, Germany |
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Keywords: Image acquisition: Machine learning This talk will give an overview of the development of AI methods for MR image reconstruction. I will cover the collection of training data, model training and in particular the deployment in a clinical setting, which enables clinical validation studies. |
15:05
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Pushing the Frontiers of Quantitative MRI Towards Clinical Adoption of MR Fingerprinting | |
| Nicole Seiberlich1 | ||
1University of Michigan, United States |
15:25
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Panel Discussion |
13:45
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The Role of Imaging in Clinical Trials: Proof of Concept to Primary Endpoint | |
| Marius de Groot | ||
14:05
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Multi-Center Clinical Imaging Trials: Striking a Balance Between Fidelity & Feasibility | |
| Iris Friedli | ||
| Antaros | ||
14:25
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Imaging Consortia: Pooling Resources & Sharing the Risks for Validation of Imaging Endpoints | |
| Alexandre Fernandez Coimbra | ||
| Genentech | ||
14:45
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Regulatory Perspectives on Clinical Trials with Imaging: Considerations for Incorporating New Technology | |
| Jana Delfino | ||
| FDA | ||
15:05
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The Value of Radiographers & Technologists Through Conception, Design, Execution & Publishing of MR Drug Trials | |
| Rhys Slough | ||
| University of Cumbria | ||
15:25
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MRI Measures of Disease Activity in MS: Use in Clinical Trials & Translation to Clinical Practice | |
| Jiwon Oh | ||
| Unity Health Toronto | ||
| 0124 | 13:45
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Effects of Levodopa Therapy on Neurovascular Coupling in Parkinson’s Disease Patients |
| Chenqing Wu1, Haoting Wu1, Cheng Zhou1, Jingwen Chen1, Jiaqi Wen1, Xiaocao Liu1, Jianmei Qin1, Zhengye Cao1, Tao Guo1, Xiaojun Guan1, Xiaojun Xu1, Baorong Zhang2, and Minming Zhang1 | ||
1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 2Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China |
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Keywords: Parkinson's Disease, Neurodegeneration Abnormal neurovascular coupling was found in PD patients. These impairments were partially normalized after levodopa therapy, and ALFF alterations played a primary role in this normalization effect.
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| 0125 | 13:53
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Deep Learning Radiomic Analysis of DCE-MRI Predicts Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer |
| Yang Yang1, Yaheng Fan2, Xiaotong Xie3, Bingsheng Huang2, Yuting Li4, Yan Li5, Dinghua Xu6, and Bihua Liu5 | ||
1Department of Radiology, Suining Central Hospital, Suining, China, 2Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China, 3School of Life Science, South China Normal University, Guangzhou, China, 4The First Clinical Medical College, Guangdong Medical University, Zhanjiang, China, 5Department of Radiology, Dongguan People's Hospital, Dongguan, China, 6Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China |
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Keywords: Breast, Treatment, dynamic contrast-enhanced magnetic resonance imaging, pathological complete response, radiomics Based on pre-treatment and early treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and clinical characteristics, we established a pathological complete response (pCR) prediction model using a deep learning radiomic (DLR) method that achieved good performance in the training and validation cohorts. The model can help clinicians evaluate whether the patient can reach pCR after neoadjuvant chemotherapy (NAC) and can provide an effective diagnostic reference for accurate medical treatment of patients receiving NAC. |
| 0126
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14:01
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Magnetic Resonance Elastography reveals effects of immunotherapy on glioma biomechanics |
| Yannik Streibel1, Jessica Hunger1,2,3, Chenchen Pan4,5, Verena Turco2, Manuel Fischer1, Volker Sturm1, Kianush Karimian-Jazi1,4, Dennis A. Agardy2,3,5, Giacomo Annio6,7, Rami Mustapha8, Christopher B. Rodell9, Wolfgang Wick4,5, Ralph Sinkus6,7, Sabine Heiland1, Frank Winkler4,5, Michael Platten2,10, Martin Bendszus1, Michael O. Breckwoldt1,2, and Katharina Schregel1,4 | ||
1Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 2Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Faculty of Biosciences, Heidelberg University, Heidelberg, Germany, 4Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany, 6INSERM UMRS1148 - Laboratory for Vascular Translational Science, University Paris, Paris, France, 7School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 8Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King’s College London, London, United Kingdom, 9School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States, 10Department of Neurology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany |
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Keywords: Elastography, Neuro MRI and MRE were used to monitor the effects of immunotherapy on tumor volume, FA and biomechanics of murine orthotopic glioma. Treated tumors were significantly smaller, softer and had lower FA than controls. This difference was most pronounced when comparing tumor stiffness of both groups. Controls revealed heterogeneous tumor stiffness. We hypothesize that this is caused by viable tumor cells alternated with necrotic areas and presumably immune-suppressive iba1-positive cells. In contrast, biomechanical properties of treated animals correlated better with presence of macrophages/microglia and likely reflected anti-tumorigenic inflammation. Thus, MRE could prove useful for monitoring glioma response to therapy. |
| 0127 | 14:09
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Transformation of the histopathological growth pattern of colorectal liver metastases after chemotherapy predicted by an MRI radiomics model |
| Shengcai Wei1, Jing Cheng1, and Yi Wang1 | ||
1Department of Radiology, Peking University People's Hospital, Beijing, China |
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Keywords: Radiomics, Machine Learning/Artificial Intelligence, Histopathological growth patterns; colorectal liver metastases; transformation Our study used an MRI-based radiomics model to predict the transformation of the histopathological growth pattern (HGP) of colorectal liver metastases (CRLMs) before and after chemotherapy. After collecting data, drawing regions of interest and analyzing radiomics, we enrolled 152 patients and 299 liver metastases (99 pure desmoplastic (pdHGP) and 174 non-pdHGP). The pdHGP in the non-chemotherapy group and the post-chemotherapy group accounted for 28.3% and 42.5%, respectively (P=0.019). The fused MRI-based radiomics model demonstrated good predictive performance, and it could predict pdHGP before chemotherapy (25.3%), which was significantly different (p=0.034) compared with postoperative pdHGP after chemotherapy (39.1%). |
| 0128 | 14:17
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Acute tumour response to STING activation assessed with multi-parametric MRI |
| Upasana Roy1, Malin Pedersen1, Carol Box1, Jessica K.R. Boult1, Antonio Rullan1, Michael Schmohl2, Sebastian Carotta3, Kevin J. Harrington1, and Simon P. Robinson1 | ||
1Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom, 2Pharma GmbH & Co. KG, Boehringer Ingelheim, Biberach, Germany, 3RCV GmBH & Co KG, Boehringer Ingelheim, Vienna, Austria |
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Keywords: Cancer, Drug Development, Preclinical, Diffusion Imaging, Relaxometry Whilst cancer immunotherapies have shown marked and durable tumour responses in some patients, the majority derive no benefit. Strategies are being exploited to enhance tumour responses to immuno-oncology agents, including pharmacological activation of the STING pathway to create a more inflamed microenvironment. Multi-parametric MRI revealed a dose-dependent increase in murine tumour ADC in response to a STING agonist that was associated with histologically confirmed increase in tumour cell death. An acute, transient increase in tumour R2*, consistent with vascular occlusion, was also found. ADC is a sensitive early imaging biomarker of tumour response to STING agonism. |
| 0129 | 14:25
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Multimodal serial assessment of neoadjuvant therapy response and recurrence-free survival in locally advanced breast cancer |
| Anum S. Kazerouni1, Lanell M. Peterson1, Isaac Jenkins2, Alena Novakova1, Hannah M. Linden1, David Hockenbery1, David Mankoff3, Jennifer Specht1, and Savannah C. Partridge1 | ||
1University of Washington, Seattle, WA, United States, 2Fred Hutch Cancer Center, Seattle, WA, United States, 3University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Breast, Cancer We investigated the combination of DCE-MRI and 18F-FDG PET for assessing metabolism/perfusion mismatch and predicting pathological response and recurrence-free survival (RFS) in women undergoing neoadjuvant chemotherapy (NAC) for breast cancer. Thirty-five patients with localized breast cancer were imaged with both modalities at 3 timepoints over the course of NAC. Greater mid-treatment decreases in imaging measures were predictive of pathological response and associated with improved long-term outcome. Furthermore, mid-treatment decreases in metabolism/perfusion ratios were predictive of RFS. These results indicate a complementary relationship between DCE-MRI and 18F-FDG PET metrics and potential value of metabolism/perfusion mismatch as a marker of response. |
| 0130 | 14:33
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Multi-Parametric Quantitative MRI Assessment of Soft Tissue Sarcoma Response to Preoperative Therapy |
| Wei Huang1, Andy Kaempf1, Brooke Beckett1, Alina Tudorica1, Jeong Youn Lim1, and Christopher Ryan1 | ||
1Oregon Health & Science University, Portland, OR, United States |
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Keywords: Cancer, Treatment, DCE-MRI, DW-MRI, Therapy Response, Ktrans, ADC Thirty patients with lower extremity soft tissue sarcoma were treated with preoperative chemoradiotherapy and underwent MRI exams including DCE- and DW-MRI pre-therapy, after the first cycle of therapy regimen, and after completion of therapy but before surgery. Ten patients had optimal and the other 20 had sub-optimal pathologic responses based on necrosis percentage of the surgical tumor specimens. Quantitative DCE-MRI markers and apparent diffusion coefficient (ADC) were superior to radiographic tumor size measurement in early prediction and evaluation of therapy response. Multi-parametric approach of combining DCE- and DW-MRI markers further improved early prediction of optimal vs. sub-optimal response. |
| 0131 | 14:41
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Feasibility of oxygen-enhanced (OE) and intravoxel incoherent motion (IVIM) MRI for detection of HN cancer radiation therapy induced changes |
| Emilia Palmér1, Jesper Brovall2, Oscar Jalnefjord1,2, Karin Petruson3, Fredrik Nordström 1,2, Anna Karlsson1,2, Maria Ljungberg1,2, and Maja Sohlin1,2 | ||
1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Department of Oncology and Radiotherapy, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden |
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Keywords: Multi-Contrast, Radiotherapy, Diffusion/Other Diffusion Imaging Techniques Tumor oxygenation is a biomarker proposed as a predictor of radiation therapy (RT) response. Here, the feasibility of Oxygen-Enhanced MRI, intravoxel incoherent motion, and diffusion kurtosis imaging for monitoring of oxygenation changes in head and neck cancers was evaluated. Seven patients were examined pre- and mid-RT. No relative change in population mean longitudinal relaxation rate was observed following RT. A general increase was noticed in population mean diffusion and capillary perfusion fraction, and a decrease in population mean kurtosis. The implementation of these techniques was clinically feasible, and relative changes in almost every derived biomarker could be observed following RT. |
| 0132 | 14:49
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Self-supervised pretraining and network ensembling for spatial mapping of treatment-effect in recurrent GBM with physiologic MRI |
| Jacob Ellison1,2,3, Nate Tran1,2,3, Rany Hanna1,2, Julia Cluceru1,2, Joanna Phillips4,5, Annette Molinaro5, Valentina Pedoia1,2,3, Tracy Luks1, Anny Shai4,5, Devika Nair1, Javier Villanueva-Meyer1,2, Mitchel Berger5, Shawn Hervey-Jumper5, Manish Aghi5, Susan Chang5, and Janine Lupo1,2,3 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Center for Intelligent Imaging, UCSF, San Francisco, CA, United States, 3Graduate Group in Bioengineering, UCSF - UC Berkeley, San Francisco, CA, United States, 4Pathology, UCSF, San Fransisco, CA, United States, 5Neurological Surgery, UCSF, San Francisco, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Modelling Prior characterization of treatment-effect and tumor recurrence using deep learning approaches have not optimized for spatial classification within a single lesion, which could improve surgical planning and treatment. 10mm patches of pre-surgical anatomical and physiological images surrounding the locations of histopathologically-confirmed tissue samples were used to train our models. Including physiological images, pretraining on unlabeled data in an autoencoding task, and training with an alternative cross-validation approach that enabled many networks to be ensembled, we achieved an ensembled test AUROC of 0.814 and generated spatial maps of tumor probability and model uncertainty. Performance decreased when removing any of these components. |
| 0133 | 14:57
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Clinically Feasible Patient-Specific Targeting Method for Improved Quality-of-Life Outcomes from MRgFUS Treatment of Essential Tremor |
| Anjali Datta1, Gustavo Chau Loo Kung2, Kristin Quah3, Daniel Barbosa4, Chelsea Li5, David Purger5, Allan Wang5, Yosefi Chodakiewitz1, Pejman Ghanouni1, Vivek Buch5, and Jennifer McNab1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Bioengineering, Stanford University, Stanford, CA, United States, 3Electrical Engineering, Stanford University, Stanford, CA, United States, 4Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States, 5Neurosurgery, Stanford University, Stanford, CA, United States |
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Keywords: Data Analysis, Tractography & Fibre Modelling, Neurosurgical Targeting MRI-guided focused-ultrasound (MRgFUS) is an FDA-approved treatment for essential tremor. Unfortunately, the target to be ablated cannot be directly visualized on standard imaging, and its location varies interindividually. Since suboptimal lesion location can lead to side effects that impair quality of life, a method that locates personalized ablative targets that correlate with better quality-of-life outcomes (and not just with tremor reduction) could provide significant benefit. We present a clinically-feasible patient-specific probabilistic-tractography-based method for personalized targeting of MRgFUS treatment and show that similarity between the target it generates and the ablated lesion predicts QoL outcome in a dataset of 36 patients. |
| 0134 | 15:05
|
Non-invasive characterization of response of breast cancer to paclitaxel chemotherapy using MR cell size imaging |
| xiaoyu jiang1, Jingping Xie2, John Gore2, and Junzhong Xu3 | ||
1Radiology, Vanderbilt University Medical Center, nashville, TN, United States, 2Vanderbilt University Medical Center, nashville, TN, United States, 3Vanderbilt University Medical Center, Brentwood, TN, United States |
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Keywords: Quantitative Imaging, Cancer, microstructure; diffusion; apoptosis Reliable and sensitive methods for assessing the response of breast cancer to treatment are critical for timely adjustments of therapies for individual patients, and development of novel therapies. Different from the conventional tumor-volume-based criteria, we hypothesize that more specific microstructural information on the cellular level in tumors, such as changes in cell size, may provide more accurate characterization of therapeutic response. Using both in vitro cell experiments and in vivo xenograft experiments, we demonstrated that temporal changes in MR-derived cell sizes in triple-negative MDA-MB-231 tumors treated with either drug vehicle or paclitaxel provide a new means to assess treatment response. |
| 0135 | 15:13
|
T2* assessment of neoadjuvant radiation therapy combined with pharmacological ascorbate in extremity soft-tissue sarcomas: a pilot study |
| Chu-Yu Lee1, Michael S Petronek2, Varun Monga3, Benjamin J Miller4, Mohammed M Milhem3, Vincent A Magnotta1, and Bryan G Allen2 | ||
1Department of Radiology, The University of Iowa, Iowa City, IA, United States, 2Department of Radiation Oncology, Free Radical and Radiation Biology Program, The University of Iowa, Iowa City, IA, United States, 3Department of Internal Medicine, The University of Iowa, Iowa City, IA, United States, 4Department of Orthopedics and Rehabilitation, The University of Iowa, Iowa City, IA, United States |
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Keywords: Muscle, Tumor, Soft-tissue sarcomas; Treatment assessment; Relaxometry Soft-tissue sarcomas is commonly treated by neoadjuvant radiation therapy followed by surgical resection. Current assessment of neoadjuvant therapy relies on pathological examinations after surgery. Nonetheless, noninvasive imaging assessment can be performed before and during the treatment, offering the opportunity for predicting and early assessing treatment response. This pilot study applied T2* mapping to evaluate neoadjuvant therapy in seven patients with soft-tissue sarcomas before, during the treatment, and before surgery. The results showed strong or moderate correlations between T2* measurements and percent necrosis from pathological examinations, suggesting the potential for using T2* mapping to predict and early assess treatment response. |
| 0136 | 15:21
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Effect of chemoradiation on high-grade gliomas can be forecasted by mid-treatment images via image-driven mathematical modeling |
| David A Hormuth II1,2, Maguy Farhat3, Julianna Bronk3, Holly Langshaw3, Thomas E Yankeelov1,2,4,5,6,7, and Caroline Chung3 | ||
1Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States, 2Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, United States, 3Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Biomedical Engineering, The University of Texas at Austin, Austin, TX, United States, 5Oncology, The University of Texas at Austin, Austin, TX, United States, 6Diagnostic Medicine, The University of Texas at Austin, Austin, TX, United States, 7Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Tumors, Radiotherapy Technical advances in imaging and radiotherapy in the last decade have motivated the development of patient-specific treatment plans accounting for the underlying tumor biology that ultimately informs treatment efficacy. A fundamental challenge is how to leverage imaging data to optimize patient response to radiotherapy. Towards this end, we have developed an approach to forecast tumor response prior to the conclusion of therapy to enable a spatially-resolved map of response to chemoradiation. Our forecasting approach can accurately identify statistically significant changes in cell density that could potentially inform treatment adaptations. |
| 0137 | 15:29
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Pediatric Hepatoblastoma After Neoadjuvant Chemotherapy: Diagnostic Performance of MR In Staging POSTTEXT and Vascular Involvement. |
| Li Jun Qian1, Xu Hua Gong1, Ming Xuan Feng2, Hai Nan Ren1, Yan Zhou1, Jian Rong Xu1, Qiang Xia2, and Yang Song3 | ||
1Radiology, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China, 2Liver Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China, 3MR Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China |
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Keywords: Cancer, Liver, Hepatoblastoma This study evaluates the diagnostic efficacy of contrast-enhanced MR imaging for preoperative POSTTEXT staging and prediction of vascular involvement in pediatric hepatoblastoma after neoadjuvant chemotherapy. The findings revealed that MR preoperative POSTTEXT staging has a good level of agreement with the reference standard. MR provides high predictive performance for identifying portal vein involvement and moderate predictive performance for identifying hepatic vein/inferior vena cava involvement. |
| 0138 | 15:37
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Detection and Assessment of Treatment Response in Multiple Myeloma using Whole-body DETECT: Quantitative Biomarkers of MRI and FDG-PET |
| Sheng Qing Lin1, Sebastian Fonseca1, Durga Udayakumar1,2, Alberto Diaz de Leon1, Orhan Oz1, Gurbakhash Kaur3, Aimaz Afrough3, Larry D. Anderson Jr.3, and Ananth J. Madhuranthakam1,2 | ||
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 3Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Cancer, Quantitative Imaging, Disease Biomarkers WBMRI-DETECT has been previously shown to have improved lesion conspicuity and shorter scan times compared to WBMRI-STIR and WBMRI-DWIBS in multiple myeloma. In this work, we demonstrate that quantitative biomarkers measured through WBMRI, fat fraction (FF) and apparent diffusion coefficient (ADC), have weak correlation suggesting both biomarkers to provide complementary information. Additionally, both ADC and FF showed negative correlation with the semiquantitative SUVmax from FDG-PET, demonstrating potential use of quantitative MRI biomarkers for the assessment of therapy response. |
| 0139 | 13:45
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CEST Imaging of the APT and ssMT predict the overall survival of patients with glioma at the first follow-up after completion of radiotherapy at 3T |
| Nikolaus von Knebel Doeberitz1, Florian Kroh2,3, Johannes Breitling 4, Laila König5, Srdjan Maksimovic1, Svenja Grass1, Jürgen Debus5,6,7, Peter Bachert3,4, Heinz-Peter Schlemmer1,7, Mark E. Ladd3,4,7, Andreas Korzowski4, Steffen Goerke4, and Daniel Paech1,8 | ||
1Division of Radiology, German Cancer Research Center, Heidelberg, Germany, 2Divion of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 3Department of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 5Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany, 6Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center, Heidelberg, Germany, 7Faculty of Medicine, University of Heidelberg, Heidelberg, Germany, 8Department of Neuroradiology, University Hospital Bonn, Bonn, Germany |
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Keywords: CEST & MT, Treatment, Glioma In this prospective clinical study we compared the ability of asymmetry-based amide proton transfer-weighted (APTw) imaging with Lorentzian-fit-based (PeakAreaAPT and MTconst) and relaxation-compensated (MTRRexAPT and MTRRexMT) CEST-MRI of the amide proton transfer (APT) and semisolid magnetization transfer (ssMT) at 3T for the prediction of the overall survival of patients with glioma at the first follow-up after completion of radiotherapy. The APTw (HR=4.66, p<0.001) was more strongly associated with survival compared to the MTRRexAPT (HR=2.44, p=0.056) and MTconst (HR=2.54, p=0.044). The MTRRexMT and PeakAreaAPT did not display any association with survival. |
| 0140
|
13:53
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Transmembrane water-efflux rate measured by water exchange DCE-MRI: a sensitive and specific biomarker of Aquaporin-4 in gliomas |
| Yinhang Jia1,2, Guangxu Han1, Zejun Wang1, Yi-Cheng Hsu3, Yi Sun3, Bao Wang4, Yingchao Liu5,6, and Ruiliang Bai2,7 | ||
1Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 2School of Medicine, Zhejiang University, Hangzhou, China, 3MR Collaboration, Siemens Healthcare, Shanghai, China, 4Department of Radiology, Qilu Hospital of Shandong University, Jinan, China, 5Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 6Shandong National Center for Applied Mathematics, Shandong University, Jinan, China, 7College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China |
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Keywords: Tumors, Brain, Glioma, Aquaporins-4, transmembrane water-efflux rate, therapy-resistant. The water-selective channel aquaporin-4 (AQP4) contributes to the migration and proliferation of gliomas, and to their resistance to therapy. Here, we show, in glioma animal models, and in glioma patients, that transmembrane water-efflux rate is a sensitive and specific biomarker of AQP4 expression and can be measured via dynamic-contrast-enhanced magnetic resonance imaging. Water-efflux rates correlated with changes in the heterogeneity of intratumoural and intertumoural AQP4 in human gliomas and following treatment with the AQP4 inhibitor TGN020. Regions with low water-efflux rates contained higher fractions of stem-like slow-cycling cells and therapy-resistant cells, suggesting that maps of water-efflux rates could be used to identify gliomas that are resistant to therapies. |
| 0141
|
14:01
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Non-invasive blood brain barrier integrity mapping in patients with high-grade glioma and metastasis by time-encoded arterial spin labelling |
| Gabriel Hoffmann1,2, Christine Preibisch1,2, Matthias Günther3,4,5, Amnah Mahroo3, Matthias JP van Osch6,7, Lena Václavů6, Lena Schmitzer1, Claus Zimmer1,2, Benedikt Wiestler1, and Stephan Kaczmarz1,2,8 | ||
1Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 3MR Physics, Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 4MR-Imaging and Spectroscopy, University of Bremen, Bremen, Germany, 5mediri GmbH, Heidelberg, Germany, 6C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 7Leiden Institute of Brain and Cognition, Leiden University, Leiden, Netherlands, 8Philips GmbH Market DACH, Hamburg, Germany |
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Keywords: Tumors, Permeability, Blood Brain Barrier High-grade glioma are known to cause blood brain barrier (BBB) disruption, facilitating molecular leakage from inside the vessels into tissue. Current methods to probe BBB integrity are either not quantitative or, by using Gadolinium, insensitive to subtle changes. Here, we present first data of arterial spin labelling (ASL)-based BBB mapping of water exchange time (Texch) in brain tumour patients. Results show faster exchange (shorter Texch) in tumorous and even normal-appearing tissue compared to healthy subjects. This highlights the potential of ASL-based water exchange mapping as a proxy measure for BBB integrity, and its potential sensitivity to even subtle impairments. |
| 0142 | 14:09
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Imaging metabolism of deuterated glucose in patients with primary brain tumors |
| Zachary A. Corbin1, Yanning Liu2, Robert K. Fulbright3, Serena Thaw-Poon1, Joachim M. Baehring1, Nicholas Blondin1, Peter Kim1, Antonio Omuro1, Veronica L. Chiang4, Jennifer Moliterno4, Sacit B. Omay4, Joseph M. Piepmeier4, Douglas L. Rothman3, Robin A. de Graaf3, and Henk M. De Feyter3 | ||
1Department of Neurology, Yale University, New Haven, CT, United States, 2Department of Biomedical Engineering, Yale University, New Haven, CT, United States, 3Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 4Department of Neurosurgery, Yale University, New Haven, CT, United States |
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Keywords: Tumors, Metabolism, deuterium Deuterium metabolic imaging (DMI), a combination of 2H MRSI with administration of a deuterated substrate, was used to map regional metabolism of [6,6’-2H2]-glucose in 24 patients with multiple types of brain tumors. DMI data were acquired 70-90 minutes after oral intake of the deuterated glucose and revealed strong tumor-to-brain image contrast in high-grade tumors. Our metric, based on the labeling of specific glucose metabolites, reflects the canonical glucose metabolism in aggressive tumors – the Warburg Effect. The Warburg Effect appears higher in high-grade tumors and showed potential as a biomarker of treatment effect. |
| 0143 | 14:17
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Probing Tumor Heterogeneity in Mouse Glioblastoma with Dynamic Glucose-Enhanced Deuterium Metabolic Imaging |
| Rui Vasco Simoes1,2, Rafael N Henriques1, Jonas L Olesen3,4, Beatriz M Cardoso1, Francisca F Fernandes1, Tania Carvalho1, Sune N Jespersen3,4, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal, 2(Present Address) Preclinical MRI, Institute for Research & Innovation in Health (i3S), Porto, Portugal, 3Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 4Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark |
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Keywords: Tumors, Deuterium, glioma Dynamic glucose-enhanced deuterium MRS (DGE 2H-MRS) coupled with Marchenko-Pastur PCA (MPPCA) denoising has been recently applied to immunocompetent mouse glioblastoma subtypes (GL261 and CT2A), demonstrating the ability to measure glucose metabolism through glycolysis and mitochondrial oxidation non-invasively, and its association with tumor proliferation. Here, we extend this approach to DGE Deuterium Metabolic Imaging (DGE-DMI) coupled with tensor MPPCA (tMPPCA) denoising, to map glucose fluxes in the same mouse models of glioblastoma. Our results demonstrate a strong association between glycolytic rates and MRI and histologic features of inter/intra-tumor heterogeneity. |
| 0144 | 14:25
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An exploration of peritumoral glutamate and glutamine in diffuse gliomas using 7T MRSI |
| Gilbert Hangel1,2,3, Philipp Lazen1,2, Sukrit Sharma2, Cornelius Cadrien1,2, Thomas Roetzer-Pejrimovsky4, Eva Niess2, Lukas Hingerl2, Stephan Gruber2, Bernhard Strasser2, Barbara Kiesel1, Adelheid Woehrer4, Matthias Preusser5, Julia Furtner6,7, Wolfgang Bogner2, Siegfried Trattnig2, Karl Rössler1, and Georg Widhalm1 | ||
1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 2High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria, 4Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria, 5Division of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria, 6Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 7Medical Image Analysis und AI, Danube Private University, Krems, Austria |
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Keywords: Tumors, Spectroscopy Research indicates that glutamate (Glu) and glutamine (Gln) play a role in the infiltrative properties of diffuse gliomas. Overcoming limitations of previous MRSI techniques, our 7T MRSI approach allows high-resolution Glu imaging. We investigated intra- and peritumoral Glu and Gln in a cohort of 36 patients and found significant increases in peritumoral Glu/tNAA, Gln/tNAA, Glu/tCr, and Gln/tCr compared to a NAWM control region. We established peritumoral Dice similarity coefficients of 0.67 for Glu/tNAA and Gln/tNAA compared to 0.31 for tCho/tNAA. Our results that Glu/Gln imaging could investigate the metabolism of infiltrative gliomas. |
| 0145 | 14:33
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Hyperpolarized [1-13C] Gluconolactone Can Visualize TERT Silencing Directly or via the Upstream Transcriptional Factor GABPB1 in Glioblastoma |
| Noriaki Minami1, Donghyun Hong1, Celine Taglang1, Georgios Batsios1, Anne Marie Gillespie1, Pavithra Viswanath1, Nicholas Stevers2, Joseph F Costello2, and Sabrina M Ronen1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Department of Neurological Surgery, UCSF, San Francisco, CA, United States |
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Keywords: Tumors, Brain, Glioblastoma, GBM, TERT, GABP, imaging, MRI, MRS, NMR TERT promoter mutation is a genetic hallmark of glioblastoma, and targeting TERT or its upstream transcriptional factor GABPB1 are considered ideal therapeutic targets. Accordingly, establishing reliable imaging modalities that will enable monitoring of TERT silencing are needed as early indicators of target engagement and response to these molecular targeting therapies. Here, we demonstrate that using 13C MRS to monitor the metabolism of hyperpolarized δ-[1-13C] gluconolactone via the pentose phosphate pathway to 6-phosopho-[1-13C]gluconate (6PG) provides such a noninvasive imaging readout of TERT or GABPB1 silencing in glioblastoma. |
| 0146 | 14:41
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AMIDE PROTON TRANSFER IMAGING-ARTERIAL SPIN LABELING MISMATCH – A NEW IMAGING BIOMARKER FOR PILOCYTIC ASTROCYTOMA |
| Adhithyan Rajendran1, Chidambaranathan Natesan2, Lavanya Yegnaraman2, Rakesh Jalali3, Rashmi Rao4, Manikandan Mariyapillai5, Prashant Jawahar1, Roopesh Kumar6, Srinivas Chilukuri7, and Sushma Patil8 | ||
1Radiology, Apollo Proton Cancer Centre, Chennai, India, 2Radiology, Apollo Hospitals Greams Road, Chennai, India, 3Radiation Oncology, Apollo Proton Cancer Centre, chennai, India, 4Radiology, Philips India Ltd, Bangalore, India, 5Philips India Ltd, Chennai, India, 6Neurosurgery, Apollo Proton Cancer Centre, Chennai, India, 7Radiation Oncology, Apollo Proton Cancer Centre, Chennai, India, 8Pathology, Apollo Proton Cancer Centre, Chennai, India |
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Keywords: Tumors, CEST & MT, Amide Proton Transfer Imaging Atypical features of Pilocytic astrocytoma (PA) on conventional MR imaging are often challenging and can be mistaken as High-grade glioma. Advanced Novel techniques of Amide Proton Transfer (APT) and Arterial spin labelling (ASL) have shown promising results in the grading of gliomas. This study to explore the added value and utility in characterizing the atypical form of PA, if these two non-contrast techniques are combined in the clinical practice. Mismatch between APT and ASL signals, was seen in all the cases of PA and this unique imaging appearance of APT ASL imaging mismatch could be a biomarker for pilocytic astrocytoma. |
| 0147 | 14:49
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Tumor Blood Volume Measurement in Brain Gliomas Using Velocity-Selective Arterial Spin Labeling |
| Yaoming Qu1, Qin Qin2,3, and Zhibo Wen1 | ||
1Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China, 2The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA, Baltimore, MD, United States |
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Keywords: Tumors, Perfusion Velocity selective arterial spin labeling (VSASL) has shown comparable CBF measurements in brain gliomas with DSC-PWI. As CBV derived from DSC-PWI is the most widely adopted perfusion marker of brain tumor angiogenesis, the clinical utility for neurooncology imaging of VSASL based CBV quantification worth investigation. This study on preoperative patients with brain gliomas demonstrated that VSASL provided highly correlated quantifications of relative tumor blood volume (R2=0.83) compared to DSC-PWI, and further improved diagnostic performance than VSASL derived relative tumor blood flow measurements (ROC AUC=0.94 vs. 0.89), indicating its potential as a viable non-contrast alternative to DSC-PWI for brain tumor applications. |
| 0148 | 14:57
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Improved diagnostic performance of APTw MRI to multiparametric non-contrast-enhanced MRIs in patients with post-treatment high-grade gliomas |
| Qianqi Huang1,2, Jingpu Wu1,3, Yiqing Shen1,2, Nhat Le1,2, Pengfei Guo1,2, Karisa Schreck4, David Kamson4, Lindsay Blair4, Hye Young Heo1, Xu Li1,5, Wenbo Li1,5, Haris Sair1, Jaishri Blakeley4, John Laterra4, Matthias Holdhoff6, Stuart Grossman6, Debraj Mukherjee7, Chetan Bettegowda 7, Peter van Zijl 1,5, Jinyuan Zhou1, and Shanshan Jiang1 | ||
1Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Department of Computer science, Johns Hopkins Univeristy, Baltimore, MD, United States, 3Department of Applied Mathematics and Statistics, Johns Hopkins Univeristy, Baltimore, MD, United States, 4Department of Neurology, Johns Hopkins University, Baltimore, MD, United States, 5Department of Radiology, Kennedy Krieger Institute, Baltimore, MD, United States, 6Department of Oncology, Johns Hopkins University, Baltimore, MD, United States, 7Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Tumors, Treatment We explored non-contrast-enhanced MRI performances of APTw, DWI, SWI, and pCASL at 3 Tesla in glioma patients post-treatment. APTw, ADC, QSM, and CBF histogram parameters from volumetric ROIs were recorded. Multivariable logistics regression with principal component analysis (PCA) was built for differentiating treatment effect from tumor recurrence. Results showed that the regression model trained on the combination of APTw, CBF, and QSM achieved the highest classification performance, with an AUC of 0.90. |
| 0149 | 15:05
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Feasibility study of diusion weighted imaging of nasopharynx using split-echo TSE-DWI combined with MultiVane acquisition |
| Kun Wang1, Yujie Yu1, Maoxue Wang1, Ming Li1, Xiance Zhao2, Peng Wu2, and Kan Deng3 | ||
1The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Philips Healthcare, Shanghai, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: Tumors, Brain Diusion weighted imaging (DWI) has high sensitivity in the dierential diagnosis of nasopharyngeal carcinoma. However,the DWI based on SE-EPI has poor imaging quality in the nasopharynx. A combination of Multi-Vane (MV) and SPLICE(MV-SPLICE) were developed to reduce ELT, as well as improve SNR and the imaging quality of DWI. This study compares theDWI images of three acquisition sequences in nasopharynx,including DWI TSE without SPLICE(TSE), TSE with SPLICE(TSE-XD), and TSE with MV-SPICE(TSE-XD-MV) and proves that TSE with MV-SPLICE DWI based TSE with MV-SPLICE provides anexcellence imaging scheme of DWI for the clinical diagnosis of nasopharyngeal diseases. |
| 0150 | 15:13
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Tumour virtual histology with Magnetic Resonance Elastography |
| Giacomo Annio1,2, Robin Bugge3, Siri Fløgstad Svensson 3, Omar Darwish4, Giorgio Seano5, Donata Biernat 6, Karoline Skogen 6, Jon Ramm-Pettersen 7, Einar Vik-Mo 7, Katharina Schregel 8, Kyrre Eeg Emblem3, and Ralph Sinkus1 | ||
1INSERM - King's College, Paris, France, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 4Department of Biomedical Engineering, King's College London, London, United Kingdom, 5U1021 INSERM, Institut Curie, Paris, France, 6Department of Radiology Ullevål, Division of Radiology and Nuclear Medicine,, Oslo University Hospital, Oslo, Norway, 7Department of Neurosurgery, Division of Clinical Neuroscience,, Oslo University Hospital, Oslo, Norway, 8Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany |
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Keywords: Tumors, Elastography The reciprocal interaction between cancer cells and the surrounding creates a tumorigenic feedback loop capable of shifting the anti-neoplastic feature of the microenvironment towards a tumour growth-promoting one. Unfortunately infiltrating tumours, like GBMs, do not have discrete boundaries and intra-axial metastases are not visible on conventional MR images. However they are expected to change the tissue biomechanics. Here we explored tumour microenvironment biomechanics non-invasively using MRE in a cohort of 23 patients with brain tumours - 13 meningiomas, 10 glioblastomas. We show how MRE provides a comprehensive characterization of the tumour microenvironment, explaining histological features and tumour invasive features. |
| 0151 | 15:21
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Repeatability and reproducibility of a multi-vendor spin and gradient echo (SAGE) pulse sequence for dynamic susceptibility contrast MRI |
| Poonam Choudhary1, YuXiang Zhou2, Sudarshan Ragunathan3, Ethan Mathew1, Aliya Anil1, Natenael Semmineh4, Belinda Gutierrez1, John P Karis5, Leland S. Hu2, Kathleen M. Schmainda6, Ashley M. Stokes1, and C. Chad Quarles4 | ||
1Division of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States, 2Department of Radiology, Mayo Clinic College of Medicine, Phoenix, AZ, United States, 3Hyperfine Inc., Guilford, CT, United States, 4The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 5Neuroradiology, Southwest Neuroimaging at Barrow Neurological Institute, Phoenix, AZ, United States, 6Department of Biophysics Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Tumors, DSC & DCE Perfusion, sequence Single-echo pulse sequences are commonly employed for DSC-MRI. The multi-echo spin and gradient echo (SAGE) sequence can be useful in multi-contrast and multi-scale imaging of morphologic and functional features of brain tumor vasculature. The goal of this study is to establish harmonized SAGE sequence and analysis protocol across primary MRI vendors to facilitate multi-site clinical trials. In this work, we present initial results of SAGE sequence multi-site reproducibility and repeatability in phantom, healthy volunteers and high-grade glioma patients. |
| 0152 | 15:29
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Diffusion tensor imaging on a 1.5T MR-Linac and comparison to a 3T diagnostic scanner in glioma patients |
| Liam S. P. Lawrence1, Rachel W. Chan1, James Stewart2, Mark Ruschin2, Aimee Theriault2, Sten Myrehaug2, Jay Detsky2, Pejman J. Maralani3, Chia-Lin Tseng2, Hany Soliman2, Mary Jane Lim-Fat4, Sunit Das5, Greg J. Stanisz1,6, Arjun Sahgal2, and Angus Z. Lau1 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Department of Surgery, St. Michael's Hospital, Toronto, ON, Canada, 6Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland |
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Keywords: Tumors, Diffusion Tensor Imaging Diffusion tensor imaging was implemented on a 1.5T MR-Linac and used to scan ten glioma patients and four healthy volunteers. Mean diffusivity and fractional anisotropy (FA) measurements were compared to those at 3T in 35 glioma patients. FA values surrounding the tumour and in white matter structures (genu, splenium, and body of corpus callosum) were investigated for the detection of tumour infiltration and radiation-induced damage, respectively. There was no evidence of dose-dependent white matter changes, in contrast to previous literature. Peritumoural FA changes occurred more frequently for high-grade compared to low-grade gliomas. |
| 0153 | 15:37
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The Patients’ Experience on Neuroimaging of Gliomas: A Cross-Sectional Survey Study |
| Ivar J.H.G. Wamelink1,2, Hugo Hempel1, Elsmarieke van de Giessen1,3, Mark Vries1, Philip de Witt Hamer2,4, Frederik Barkhof1,5, and Vera C. Keil1,2,3 | ||
1Radiology & Nucleaire Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands, 2Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam, Netherlands, 3Neuroscience, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands, 4Neurosurgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands, 5UCL institutes of Neurology and Healthcare Engineering, London, United Kingdom |
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Keywords: Tumors, Challenges, Patient experience Glioma patient experience of MRI scans, repeated follow-up, and gadolinium-based contrast agents (GBCA) are unknown, despite the vulnerability of this patient group and relevant implications for clinics and science. This cross-sectional survey questioned 100 patients with primary brain tumors and found generally positive experiences with neuro-oncological scans. Age, diagnosis, and number of previous scans had little impact on the patient experience. However, women found MRI and intravenous injection significantly more uncomfortable. Also, patients would prefer GBCA-free MRIs if diagnostically equivalent. Patient knowledge towards GBCAs was limited and better information regarding GBCA and the MRI itself is needed. |
| 0154 | 13:45
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Avoiding shortcut-learning by mutual information minimization in deep learning-based MR image processing |
| Louisa Fay1,2, Bin Yang2, Sergios Gatidis1,3, and Thomas Kuestner1 | ||
1Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 3Max Planck Institute for Intelligent Systems, Tuebingen, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Data Analysis Deep Learning methods can detect patterns in data such as MR images but are incapable of determining causal relationships. However, causal understanding is crucial in medical applications, since the presence of confounders (e.g. scan conditions) obscure the causal relationship and create spurious-correlations. State-of-the-art models purely rely on correlated patterns which can result in wrong conclusions or diagnoses when spurious-correlations change (e.g. new scanner). We propose a deep learning framework that is robust in the presence of spurious-correlations by decreasing mutual information between learned features of MR images and leads to improved performance under distribution shifts. |
| 0155 | 13:53
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Adaptive convolution for including a-priori information in deep learning models for quantitative susceptibility mapping |
| Simon Graf1, Nora Küchler1, Walter Wohlgemuth1, and Andreas Deistung1 | ||
1University Hospital Halle (Saale), Halle (Saale), Germany |
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Keywords: Machine Learning/Artificial Intelligence, Quantitative Susceptibility mapping Deep learning models used for solving dipole inversion of quantitative susceptibility mapping typically lack an integration of a-priori information. We show for the first time that information of voxel-size and field-of-view orientation with respect to B0 can be incorporated into network models by deploying adaptive convolution. Various network models were trained for 170 epochs to solve dipole inversion on synthetic data with arbitrary orientation and voxel-sizes. Adaptive convolution models outperform conventional models in computing susceptibility maps from arbitrarily oriented field distributions with anisotropic voxel sizes and allows a reduction of training time. |
| 0156
|
14:01
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COLADA: Contrastive Learning for highly accelerated MR Image Reconstruction |
| Mevan Ekanayake1,2, Zhifeng Chen1,3, Kamlesh Pawar1, Gary Egan1,4, Mehrtash Harandi2, and Zhaolin Chen1,3 | ||
1Monash Biomedical Imaging, Monash University, Melbourne, Australia, 2Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia, 3Department of Data Science and AI, Monash University, Melbourne, Australia, 4School of Psychological Sciences, Monash University, Melbourne, Australia |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction, self-supervised learning, contrastive learning, accelerated reconstruction, fastMRI Most deep learning methods for MR image reconstruction heavily depend on supervised learning on fully sampled reference data, hence, lack generalizability on out-of-distribution inputs such as higher accelerations. To reduce the models’ dependency on fully sampled reference data and to leverage large cohorts of undersampled MR measurements, we propose a self-supervised framework that extracts contrastive features between different accelerations of a given scan and the rest of the scans in the dataset, which we then utilize for the downstream reconstruction task. Our quantitative and qualitative analysis demonstrates the superiority of the proposed framework for highly accelerated MR image reconstruction. |
| 0157 | 14:09
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Reducing annotation burden in MR segmentation: A novel contrastive learning loss with multi-contrast constraints on local representations |
| Lavanya Umapathy1,2, Taylor Brown2,3, Mark Greenhill2,3, J'rick Lu2,3, Diego Martin4, Maria Altbach2, and Ali Bilgin1,2,5,6 | ||
1Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Medical Imaging, University of Arizona, Tucson, AZ, United States, 3College of Medicine, University of Arizona, Tucson, AZ, United States, 4Department of Radiology, Houston Methodist Hospital, Houston, TX, United States, 5Program in Applied Mathematics, University of Arizona, Tucson, AZ, United States, 6Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence, Representational Learning The availability of limited labeled data motivates the use of self-supervised pretraining techniques for deep learning (DL) models. Here, we propose a novel contrastive loss that pushes/pulls local representations within an image based on representational constraints from co-registered multi-contrast MR images that share similar underlying parameters. For multi-organ segmentation tasks in T2-weighted images, pretraining a DL model using the proposed loss function with constraints from co-registered echo images from a radial TSE acquisition, can help reduce annotation burden by 60%. On two independent datasets, proposed pretraining improved Dice scores compared to random initialization and pretraining with conventional contrastive loss. |
| 0158 | 14:17
|
A Personalized Federated Learning Approach for Multi-Contrast MRI Translation |
| Onat Dalmaz1,2, Muhammad Usama Mirza1,2, Gokberk Elmas1,2, Muzaffer Ozbey1,2, Salman UH Dar1,2, Emir Ceyani3, Salman Avestimehr3, and Tolga Çukur1,2,4 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3University of Southern California, Los Angeles, CA, United States, 4Neuroscience Program, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence, Image Synthesis MRI contrast translation enables image imputation for missing sequences given acquired sequences in a multi-contrast protocol. Training of learning-based translation models requires access to large, diverse datasets that are challenging to aggregate centrally due to patient privacy risks. Federated learning (FL) is a promising solution that mitigates privacy concerns, but naive FL methods suffer from performance losses due to implicit and explicit data heterogeneities. Here, we introduce a novel FL-based personalized MRI translation method (pFLSynth) that effectively addresses implicit and explicit heterogeneity in multi-site datasets. FL experiments conducted on multi-contrast MRI datasets show the effectiveness of the proposed approach. |
| 0159
|
14:25
|
SwinV2-MRI: Accelerated Multi-Coil MRI Reconstruction using Shifted Window Vision Transformers |
| Tahsin Rahman1, Sergio D. Cabrera1, and Ali Bilgin2 | ||
1Electrical and Computer Engineering, The University of Texas at El Paso, El Paso, TX, United States, 2Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Vision transformers (ViT) are increasingly utilized in computer vision and have been shown to outperform CNNs in many tasks. In this work, we explore the use of Shifted Window (Swin) transformers for accelerated MRI reconstruction. Our proposed SwinV2-MRI architecture enables the use of multi-coil data and k-space consistency constraints with Swin transformers. Experimental results show that the proposed architecture outperforms CNNs even when trained on a limited dataset and without any pre-training. |
| 0160 | 14:33
|
Developing a Graph Convolutional Network of Differentiable Graph Module for Multi-Modal MRI Data: An Application to Parkinson's Disease |
| Fanshi Li1,2, Jun Li3, Yifan Guo2,4, Zhihui Wang1,2, Zhilin Zhang2,4, Xin Liu1,2, Hairong Zheng1,2, Yanjie Zhu1,2, Liang Dong2,4, and Haifeng Wang1,2 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3The Second People’s Hospital of Shenzhen, Shenzhen, China, 4Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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Keywords: Machine Learning/Artificial Intelligence, Parkinson's Disease With the ageing of the population, Parkinson's disease (PD) has presented a severe challenge to public health. Here, a deep-learning framework named the AMDGM model was proposed to predict PD patients at an early stage. Firstly, multi-modal image-based models were respectively generated using the AMDGM model. Then, a weighted ensemble network was created as the final model. The proposed method achieved the best AUC performance of 0.872 in the testing cohort, better than others. And the proposed method can predict PD patients early to help clinical radiologists formulate more targeted treatments in the future. |
| 0161 | 14:41
|
MRFlow: Flow-based neural network for MR image harmonization |
| Hwihun Jeong1, Dong Un Kang1, Jiye Kim1, and Jongho Lee1 | ||
1Department of electrical and computer engineering, Seoul national university, Seoul, Korea, Republic of |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence We propose MRFlow, which is a normalizing flow-based neural network for the MRI harmonization framework. With the normalizing flow trained only with the target domain (e.g., 3T image) data, we harmonize the image from the source domain (e.g., 1.5T image) to the target domain by alternately reducing the norm of the latent variable and increasing similarity between the source domain and harmonized images. When MRFlow is applied to synthesized source domain images, the harmonized images showed lower errors than the source domain images. In the prospective study, the harmonized images became more similar to the target domain images after MRFlow. |
| 0162 | 14:49
|
A transformer-based framework for liver stiffness classification using multi-modality body MRI in children and adults |
| Redha Ali1, Hailong Li1, Huixian Zhang1, Wen Pan2, Scott B. Reeder3, David T. Harris3, William R. Masch4, Anum Alsam4, Krishna P. Shanbhogue5, Anas Bernieh6, Sarangarajan Ranganathan6, Nehal A. Parikh6, Jonathan R. Dillman1, and Lili He1 | ||
1Department of Radiology, Cincinnati children's hospital medical center, Cincinnati, OH, United States, 2Department of Radiology, Cincinnati children's hospital medical center, 45429, OH, United States, 3University of Wisconsin-Madison, Madison, WI, United States, 4Michigan Medicine, University of Michigan, Ann Arbor, MI, United States, 5New York University Langone Health, New York, NY, United States, 6Cincinnati children's hospital medical center, Cincinnati, OH, United States |
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Keywords: Machine Learning/Artificial Intelligence, Liver Magnetic resonance elastography (MRE) provides a noninvasive method to quantify liver stiffening, a surrogate biomarker for monitoring liver fibrosis. However, the availability of MRE remains limited, especially outside the United States, in part due to cost. This study aims to develop a deep learning-based approach for stratifying liver stiffness using multiparametric MRI images from pediatric and adult patients from multiple sites. We performed multi-site ten-fold cross-validation and achieved an AUROC of 0.80 for liver stiffness stratification. These results demonstrate that our proposed deep learning model may provide a means for categorical estimation of liver stiffening without dedicated elastography. |
| 0163 | 14:57
|
MR image super-resolution via a variational diffusion model |
| Wei Jiang1, Yang Gao1, and Hongfu Sun1 | ||
1University of Queensland, Brisbane, Australia |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction, MRI, diffusion models High-resolution MR images are advantageous for medical diagnosis. However, they may require longer scan time and more powerful hardware. Significant effort has been made to carry out super-resolution methods to synthesize higher-resolution MR images from lower-resolution acquisitions using deep learning approaches. However, most current methods are biased. In this work, we propose a new super-resolution method based on the state-of-the-art generative model (i.e., variational diffusion model), using the lower-resolution K-space measurements as a condition for guiding the super-resolution process. This unsupervised approach achieved high performance for reconstructing MR images from arbitrary lower resolutions without retraining the model. |
| 0164 | 15:05
|
Bloch-informed neural network for multi-scanner MR Harmonization |
| Gawon Lee1, Jun-Hyeok Lee1, Dong Hye Ye2, and Se-Hong Oh1 | ||
1Biomedical Engineering, Hankuk University of Foreign Studies, Yongin-si, Korea, Republic of, 2Computer Science, Georgia State University, Atlanta, GA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Brain, Data Harmonization For multi-site research in MR studies, a harmonization process is necessary. Due to the lack of paired dataset for harmonization, the unsupervised-based learning has been suggested. However, this method is susceptible to causing the error in anatomical information and performing well in the unseen domain. Thus, we suggest a deep neural network for multi-site harmonization based on MR signal physics with the paired traveling dataset. We implemented Quantitative Maps Generators and Denoising Network with the Bloch Equation module. We proved that using the Bloch Equation enhances the accuracy of harmonization. |
| 0165
|
15:13
|
Federated Learning for Utilizing Multi-Institutional Prostate MRI with Diverse Histopathology |
| Abhejit Rajagopal1, Katya Redekop2, Anil Kemisetti1, Rishi Kulkarni3, Steven Raman3, Karthik Sarma3, Kirti Magudia4, Corey Arnold2,3, and Peder Larson1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Electrical Engineering, UCLA, Los Angeles, CA, United States, 3Radiology, UCLA, Los Angeles, CA, United States, 4Radiology, Duke University, Durham, NC, United States |
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Keywords: Machine Learning/Artificial Intelligence, Cancer, federated learning Prostate cancer screening and diagnosis from MRI is extremely challenging, and current machine learning algorithms suffer in cross-institutional generalizability. Federated learning is a way to alleviate these issues by combining multi-center data without aggregating or homogenizing data. To enable this for prototype-stage algorithms, we introduce FLtools, a lightweight python library with re-usable federated learning components available freely at https://federated.ucsf.edu. We use this federated learning system to train a 3D UCNet on bi-parametric MRI and paired prostate biopsy data from two University of California hospitals, demonstrating dramatic improvements in cross-site generalization accuracy in clinically-significant lesion classification. |
| 0166 | 15:21
|
Adversarial Diffusion Probabilistic Models for Unpaired MRI Contrast Translation |
| Muzaffer Ozbey1,2, Onat Dalmaz1,2, Salman UH Dar1,2, Hasan Atakan Bedel1,2, Şaban Öztürk1,2, Alper Güngör1,2, and Tolga Çukur1,2,3 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Neuroscience Program, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence Synthesis of missing contrasts in an MRI protocol via translation from acquired contrasts can reduce costs associated with prolonged exams. Current learning-based translation methods are predominantly based on generative adversarial networks (GAN) that implicitly characterize the distribution of the target contrast, with limits fidelity of synthesized images. Here we present SynDiff, a novel conditional adversarial diffusion model for computationally efficient, high-fidelity contrast translation. SynDiff enables training on unpaired datasets, thanks to its cycle-consistent architecture with coupled diffusion processes. Demonstrations on multi-contrast MRI datasets indicate the superiority of SynDiff against competing GAN and diffusion models. |
| 0167 | 15:29
|
A Machine Learning-Based Prediction of RF Transfer Function of Active Implantable Medical Devices in Homogeneous and Heterogeneous Tissue |
| Mingjuan Ma1, Hexuan Shi1, and Aiping Yao1 | ||
1Lanzhou University, Lanzhou, China |
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Keywords: Bioeffects & Magnetic Fields, Safety Both the Tier-3 and Tier-4 methods proposed in ISO/TS 10974 for assessing the radiofrequency safety of active implantable medical devices have limitations in practice. The transfer function proposed in the Tier-3 method can only be measured individually for each implant and only for homogeneous tissue environments, while Tier-4 requires significant high-speed computing resources. In this study, machine learning algorithms are proposed to predict the transfer function both in homogeneous and heterogeneous tissue environment. The results show that this approach is feasible and performs well in the prediction task. |
| 0168 | 15:37
|
Multi-Contrast 3D Fast Spin-Echo T2 Shuffling Reconstruction with Score-Based Deep Generative Priors |
| Sidharth Kumar1, Asad Aali1, and Jonathan I Tamir1,2,3 | ||
1Chandra Family Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, United States, 2Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States, 3Department of Diagnostic Medicine, University of Texas at Austin, Austin, TX, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Score-based generative modeling has emerged as a powerful tool for modeling image priors and has recently been used to solve ill-posed inverse problems in various domains including MRI reconstruction. Here we extend the framework to reconstruct multi-contrast 3D fast spin-echo (FSE), i.e. T2 Shuffling data. This is achieved by constraining the posterior sampling reconstruction to a low-dimensional subspace and training a score model on images from this subspace. We demonstrate a proof-of-principal reconstruction of data with no model mismatch, i.e. generated from the forward model. |
| 0169 | 13:45
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Cardiac adipose tissue proton-density fat fraction quantification by free-running cardiac Dixon at 3T |
| Pierre Daudé1,2, Thomas Troalen3, Adèle L C Mackowiak4,5,6, Emilien Royer1,2, Davide Piccini4,7, Jérôme Yerly4,8, Josef Pfeuffer9, Frank Kober1,2, Sylviane Confort Gouny1,2, Monique Bernard1,2, Matthias Stuber4,8, Jessica A M Bastiaansen5,6, and Stanislas Rapacchi1,2 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Siemens Healthcare SAS, Saint-Denis, France, 4Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland, 5Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 6Translation Imaging Center (TIC), Swiss Institute for Tranlational and Entrepreneurial Medicine, Bern, Switzerland, 7Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 8Center for Biomedical Imaging, Lausanne, Switzerland, 9Siemens Healthcare, MR Application Development, Erlangen, Germany |
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Keywords: Fat, Quantitative Imaging Free-running cardiac Dixon-MRI has the potential for motion-resolved R2* and PDFF quantification to explore cardiac fat accumulation and alteration in metabolic diseases. This study combines a self-navigated 3D radial sequence with 13 echoes using fast bipolar signal-readouts, a k-space trajectory correction, a compressed sensing reconstruction, and IDEAL fat-water separation to obtain precise ( limits of agreement: ±1.2 % and 5.0 s-1) and highly spatially and motion-resolved quantitative PDFF and R2* maps of the whole heart. We report here the first in vivo characterization of metabolically-active epicardial fat (PDFF: 81.6±9.6 %), distinct from adjacent paracardial fat. |
| 0170 | 13:53
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Evaluation of Cardiac Microstructure in Patients with Severe Aortic Stenosis Using Diffusion Tensor MRI with Submillimeter Resolution |
| Christopher A. Rock1,2, Iris Y. Chen2, Anne L. Philip1, Boris Keil2,3, Christopher T. Nguyen2,4,5, and David E. Sosnovik 1,2,5 | ||
1Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States, 2A.A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Institute of Medical Physics and Radiation Protection, TH Mittelhessen University of Applied Sciences, Giessen, Germany, 4Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, 5Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Myocardium, Diffusion Tensor Imaging This study describes a method to acquire submillimeter resolution diffusion tensor MRI scans of the human heart in vivo. Imaging was performed in healthy controls and patients with severe high flow-high gradient aortic stenosis. The images were processed to generate helix angle maps of cardiomyocyte orientation and compared. The range of helix angles across the myocardium was higher in subjects with aortic stenosis and the relative helix angle slope was also increased in patients with aortic stenosis. |
| 0171
|
14:01
|
In-Vivo CEST MRI to assess and identify myocardial infarction by using natural D- glucose as a contrast agent |
| Ajay Peddi1, Daniel Schache1, Ali Nahardani2, Michael Kuhlmann3, Moritz Wildgruber1,4, Cornelius Faber1, and Verena Hoerr1,2 | ||
1Translational Research Imaging Center, Clinic of Radiology, University of Münster, Münster, Germany, 2Heart Center Bonn, Department of Internal Medicine II, University Hospital Bonn, Bonn, Germany, 3European Institute for Molecular Imaging, University of Münster, Münster, Germany, 4Clinic and Polyclinic for Radiology, University Hospital of München, München, Germany |
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Keywords: Myocardium, CEST & MT The current preclinical study aimed to explore the application of natural D-glucose as an infusible biodegradable MRI contrast agent for imaging of myocardial infarction (MI) by glucose weighted CEST MRI (glucoCEST). To this end, in a mouse model of MI, the infarct region was first identified and verified by late gadolinium enhancement MRI and histology, respectively. In-Vivo glucoCEST MTRasym maps showed substantial differences before and after glucose infusion according to the myocardial viability. Statistical analysis verified that glucoCEST contrast could distinguish significantly between MI region, remote myocardium as well as healthy myocardium. |
| 0172 | 14:09
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Anisotropic stiffness of ex vivo swine heart estimated by transversely isotropic nonlinear inversion MRE at 2mm isotropic voxel resolution |
| Cyril Tous1,2, Guillaume Flé3, Matthew McGarry4, Philip Bayly5, Keith Paulsen4,6, Curtis Johnson7, Matthias Stuber1,2, and Elijah Van Houten8 | ||
1Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3Université de Montréal, Montréal, QC, Canada, 4Thayer school of engineering, Dartmouth College, Hanover, NH, United States, 5McKelvey School of Engineering, Washington University, Saint Louis, MO, United States, 6Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 7Biomedical Engineering, University of Delaware, Newark, DE, United States, 8Mechanical Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada |
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Keywords: Heart, Elastography MR elastography (MRE) must account for the anisotropic nature of myocardial tissue to accurately quantify stiffness. The constitutive matrix for this material was rotated to align with the fibers. One ex vivo swine heart was scanned with DTI and MRE sequences at 2 isotropic voxel resolution. Transversely isotropic viscoelastic stiffness was reconstructed using the Non-Linear Inversion (NLI) algorithm. Elastic properties (shear and Young’s modulus, tensile and shear anisotropy) were segment dependent, in agreement with the myocyte sheetlet formation, which varies in size and spacing according to the myocardial segment. Similarities between MRE and DTI metrics could be observed. |
| 0173
|
14:17
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Myocardial T2ρ Mapping in Small Animals: Comparison of Balanced Spin-Lock and Malcolm-Levitt Preparations |
| Maximilian Gram1,2, Petra Albertova1,2, Fabian Tobias Gutjahr2, Peter Michael Jakob2, Wolfgang Rudolf Bauer3,4, Peter Nordbeck1,4, and Martin Christa1,4 | ||
1Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany, 3Department of Internal Medicine I, Divisions of Cardiology and Nephrology, University Hospital Würzburg, Würzburg, Germany, 4Comprehensive Heart Failure Center (CHFC), Würzburg, Germany |
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Keywords: Relaxometry, Quantitative Imaging, Spin-Lock, T1ρ, T2ρ In this work, we propose myocardial T2ρ mapping as a potential and more robust alternative to conventional T2 quantification. Our new approach for T2ρ imaging, which is based on Malcolm-Levitt preparations with zero inter-pulse delays, was compared with established pulse sequences for T2, T1ρ and T2ρ in both phantom and in vivo experiments. In summary, the new preparatory pulse sequence was shown to meet the demanding requirements of myocardial T2ρ mapping at high magnetic field strength and to outperform conventional T2ρ preparations using balanced spin-locking. |
| 0174 | 14:25
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A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI |
| Yupeng Zhao1, Rie Beck Olin1, Esben Søvsø Szocska Hansen2, Christoffer Laustsen2, Jan Henrik Ardenkjær-Larsen1, and Lars G. Hanson1,3 | ||
1Technical University of denmark, Kongens Lyngby, Denmark, 2MR Research Centre, Aarhus University, Aarhus, Denmark, 3Danish Research Centre for Magnetic Resonance, Hvidovre, Denmark |
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Keywords: Myocardium, Perfusion As an alternative to Gadolinium, metabolically inert hyperpolarized contrast agents have been used in perfusion studies. For myocardial perfusion measurements, it is challenging to reliably obtain perfusion-related signals due to partial volume effects. We propose a constrained decomposition approach, enforcing prior knowledge of the residue function being temporally decreasing. The method is capable of separating the arterial and perfusion components and the quantified perfusion map is not visibly affected by partial volume effects. |
| 0175 | 14:33
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Myocardial oxygen extraction fraction moderately correlates with fibrosis burden in patients after heart transplant: a MR metabolism study |
| Jing Wang1, Ran Li2, Xiaona Fu3, Yang Yang4, Xiaojie Sun3, Shenglei Shu3, Jie Zhao3, Xiangchuang Kong3, and Jie Zheng2 | ||
1Radiology, Union hospital, Wuhan, China, 2Mallinckrodt Institute of Radiology, Washington University in St Louis, St. Louis, MO, United States, 3Union hospital, Wuhan, China, 4Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States |
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Keywords: Myocardium, Transplantation, oxygen metabolism Microvascular dysfunction and excessive fibrous burden are independent prognostic factors after heart transplantation. A new novel cardiovascular MR technique for the measurement of myocardial oxygen extraction fraction was evaluated for a feasibility study in 10 patients after heart transplantation. It was observed that oxygen extraction fraction was significantly correlated with myocardial extracellular volume (diffuse fibrosis indicator). Further research with more patients is warranted to explore this new CMR metabolism index for early diagnosis of cardiac dysfunction in these patient cohorts. |
| 0176 | 14:41
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Non-invasive magnetic resonance imaging agent for in-vivo nitric oxide activity detection |
| Anlan Hong1,2, Kyle D. W. Vollett1,2, Aaron M. Troy1,2, and Hai-Ling Margaret Cheng1,2,3 | ||
1Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada, 2Translational Biology & Engineering Program, Ted Rogers Centre for Heart Research, Toronto, ON, Canada, 3The Edwards S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: Inflammation, Preclinical We report a novel nitric oxide (NO)-sensitive MRI contrast agent that holds potential for detecting endogenous NO. Type I collagen and HEK cell lysate showed strong binding with NO agent, while HSA and various ROS/RNS species showed NO agent was only activated by NO. In vivo washout rate was also tested, and NO agent cleared from mice 7 days after intraperitoneal injection. Prolonged enhancement was observed in the heart after isoproterenol injection, which indicated excess NO production and inflammation. The NO agent shows promise as a molecular imaging agent in early detection of inflammatory diseases. |
| 0177 | 14:49
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Quantification of abnormal metabolism in hypertrophic cardiomyopathy patients using hyperpolarized [1-13C]-pyruvate MRI |
| Avantika Sinha1, Xiaoxi Liu1, Shuyu Tang1,2,3, Nicholas Dwork1,4, Sanjay Sivalokanathan5, Jing Liu1, Robert Bok1, Karen G Ordovas6, James Slater1, Jeremy W Gordon1, M Roselle Abraham7, and Peder Eric Zufall Larson1,2 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, San Francisco, CA, United States, 3HeartVista, Palo Alto, CA, United States, 4Departments of Bioinformatics and Radiology, University of Colorado School of Medicine, Aurora, CO, United States, 5University of Pennsylvania, Philadelphia, PA, United States, 6University of Washington, Seattle, WA, United States, 7Department of Medicine –Cardiology Division, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Myocardium, Cardiomyopathy Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy with a worldwide prevalence of ~1:250. It is the leading cause of sudden cardiac death often during exercise and in otherwise healthy, young individuals. We applied hyperpolarized [1-13C]-pyruvate MRI for metabolic imaging to 3 patients with HCM using multi-slice, dynamic metabolite-specific imaging with autonomous scanning. We observed focal metabolic abnormalities corresponding to regions of hypertrophy in patients with asymmetric non-obstructive HCM and differences in metabolism measurements compared to healthy volunteers. |
| 0178 | 14:57
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Automated detection and quantification of myocardial scar using AI-powered joint bright- and black-blood LGE imaging |
| Aurelien Bustin1,2,3, Indra Ribal1, Géraldine Montier2, Jean-David Maes2, Thibault Boullé2, Victor de Villedon de Naide1, Pauline Gut1,3, Soumaya Sridi2, Valery Ozenne1, Marta Nuñez-Garcia1, Maxime Sermesant1, Michel Montaudon2, Gäel Dournes2, François Laurent2, Pierre Jaïs1,4, Matthias Stuber1,3,5, and Hubert Cochet1,2 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Bordeaux, France, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Department of Cardiac Electrophysiology, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 5CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Keywords: Heart, Data Processing Bright-blood late gadolinium-enhanced (LGE) imaging is the current clinical gold standard to assess myocardial scar. However, poor contrast at the blood-scar interface makes scar detection and quantification challenging. Bright- and black-blood LGE imaging technologies have recently enabled more accurate scar detection and localization and have shown promising results for scar quantification. Here we aim to introduce a framework for fully automated scar detection and quantification combining novel joint bright- and black-blood LGE imaging with artificial intelligence-powered analysis. |
| 0179 | 15:05
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Free-Breathing Simultaneous Native Myocardial T1, T2, and T1ρ Mapping with Cartesian Acquisition and Dictionary Matching |
| Zhenfeng Lv1,2, Sha Hua3, Rui Guo4, Bowen Shi5, Peng Hu1,2, and Haikun Qi1,2 | ||
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Shanghai Clinical Research and Trial Center, Shanghai, China, 3Department of Cardiovascular Medicine, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4School of Medical Technology, Beijing Institute of Technology, Beijing, China, 5iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai, China |
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Keywords: Myocardium, Tissue Characterization T1 and T2 are well-recognized parameters for detecting various cardiomyopathies, and T1ρ is an endogenous contrast for myocardial fibrosis. Multi-parametric cardiac MRI can provide co-registered parameter maps for comprehensive diagnosis and account for the interparameter dependency for more accurate quantification. Therefore, we propose a free-breathing simultaneous T1, T2, and T1ρ mapping technique with single-shot Cartesian acquisition and dictionary matching for parameter quantification. The phantoms results indicated the good accuracy and insensitiveness to heart rates of the proposed technique. Using prospective through-plane and retrospective in-plane motion correction, the proposed method generated similar in vivo mapping quality to breath-hold mapping methods. |
| 0180 | 15:13
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High-Resolution Right Ventricular T1, T2, and M0 Mapping Using MR Fingerprinting with a Deep Image Prior Reconstruction |
| Jesse Ian Hamilton1,2, Imran Rashid3,4, Sanjay Rajagopalan3,4, and Nicole Seiberlich1,2 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Medicine, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Myocardium, MR Fingerprinting, Machine Learning/Artificial Intelligence This work proposes a high-resolution (1.2x1.2x5 mm3) MR Fingerprinting method for T1, T2, and M0 mapping of both left and right ventricles during a breathhold, with validation in 12 healthy subjects at 1.5T. A key component is the use of a deep image prior reconstruction for reducing noise and undersampling artifacts despite the decreased SNR when moving to higher resolution. Comparable myocardial relaxation times were measured in both ventricles (LV T1 1061+/-22ms, T2 42.2+/-3.4ms; RV T1 1062+/-29ms, T2 42.7+/-2.5ms). Higher-resolution MRF yielded slightly smaller intersubject standard deviation (SD) but larger intrasubject SD compared to a lower-resolution (1.6x1.6x8 mm3) MRF acquisition. |
| 0181 | 15:21
|
Respiratory navigated free-breathing myocardial arterial spin labeling (ASL) with phase sensitive reconstruction |
| Masa Bozic-Iven1,2, Stanislas Rapacchi3, Qian Tao2, Lothar R. Schad1, and Sebastian Weingärtner2 | ||
1Heidelberg University, Mannheim, Germany, 2Delft University of Technology, Delft, Netherlands, 3University Aix-Marseille, Marseille, France |
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Keywords: Myocardium, Arterial spin labelling Myocardial arterial spin labeling (myoASL) holds promise for needle-free myocardial blood flow (MBF) quantification but requires tedious averaging over multiple breath-holds. Here, free-breathing myoASL was implemented with dual-navigator gating, both with bSSFP and spoiled GRE readout. Images were processed using individual blood T1 and inversion time correction as well as a phase-sensitive (PS) image reconstruction. Phantom results showed PS reconstruction to reduce MBF variations for short RR and T1 values. Perfusion values were comparable with breath-held myoASL and on par with the literature. Ultimately, this can enable faster myoASL acquisitions with improved patient comfort. |
| 0182 | 15:29
|
Quantitative Perfusion with Rate-Pressure Product Corrections in Heart Transplant Patients with Cardiac Allograft Vasculopathy |
| Jay Bharatsingh Bisen1, Sandra Quinn1, Ozden Kilinc1, Havisha Pedamallu1, Kelvin Chow2,3, Rachel Davids2,3, Daniel C Lee4, Daniel Kim1, Richard L Weinberg4, James Carr1, Michael Markl1, Bradley D Allen1, and Ryan Avery1 | ||
1Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 2Radiology, Northwestern University, Chicago, IL, United States, 3Siemens Healthcare, Chicago, IL, United States, 4Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States |
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Keywords: Vessels, Quantitative Imaging, Quantitative Perfusion, Heart Transplant, Coronary Allograph Vasculopathy Cardiac Allograft Vasculopathy (CAV) is a form of accelerated intimal hyperplasia in heart transplant patients that limits long-term survival. Quantitative perfusion is a novel MR imaging technique that is useful in determining myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) in CAV patients. After Rate-Pressure Product MBF corrections, Quantitative perfusion has shown that vessels with severe CAV (>70% stenosis) have significantly decreased MPR driven primarily by increased resting MBF. Quantitative perfusion may improve non-invasive monitoring of CAV status in heart transplant patients. |
| 0183 | 15:37
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Free-breathing, Whole-heart, High-dynamic-range Quantitative Susceptibility Mapping (HDR-QSM) for Imaging Hemorrhagic Infarctions |
| Yuheng Huang1,2, Xingmin Guan1, Xinheng Zhang1,2, Liqi(Richard) Tang 1, Xiaoming Bi3, Fei Han3, HsuLei Lee4, Hui Han4, Anthony Christodoulou4, Debiao Li4, Rohan Dharmakumar1, and Hsin-Jung Yang4 | ||
1krannert cardiovascular research center, Indiana University school of medicine, Indianapolis, IN, United States, 2Bioengineering, UCLA, LA, CA, United States, 3Siemens Healthineers, Malvern, PA, United States, 4Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Myocardium, Cardiovascular, hemorrhagic reperfusion injury myocardial infarction Accurately detecting and quantifying intramyocardial hemorrhage(IMH) is critical for patient management. QSM has evolved into the standard method for iron imaging. However, obtaining cardiac QSM for IMH evaluation is difficult due to well-known technical challenges. Here, we developed a motion-robust 3D multi-echo GRE technique and combined them with a high-dynamic-range QSM algorithm to derive reliable QSM maps in IMH hearts. We tested and validated it in phantom, ex-vivo, and in-vivo IMH hearts in animal models. We demonstrated that the proposed method could accurately detect IMH and reliably quantify iron concentration with a free-breathing scan under 6 minutes. |
| 0184 | 13:45
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Screening abbreviated breast MRI with ultrafast imaging: prospective study results |
| Federico Pineda1, Zhen Ren2, Rabia Safi2, Elle Hill2, Kirti Kulkarki2, Hiroyuki Abe2, and Gregory Karczmar2 | ||
1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2University of Chicago, Chicago, IL, United States |
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Keywords: Breast, Breast, Abbreviated Breast MRI We report on the results of a prospective screening trial using abbreviated breast MRI with ultrafast dynamic contrast-enhanced imaging (3.5 seconds per time point) to screen for breast cancer in 166 women at any risk of developing breast cancer. The cancer detection rate was 24.1 per 1000 women while maintaining a specificity of 97.6%. The biopsy recommendation and abnormal interpretation rates were lower than in other published trials that did not include ultrafast imaging in their abbreviated protocol. |
| 0185 | 13:53
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Personalized Breast MRI Scanning Using Deep Learning |
| Sarah Eskreis-Winkler1, Arka Bhowmik1, Christopher Comstock1, Elizabeth Sutton1, Vardan Sevilimedu1, Sunitha Thakur1, and Katja Pinker1 | ||
1MSK, New York, NY, United States |
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Keywords: Breast, Breast, Artificial Intelligence Contrast-enhanced breast MRI exams typically last more than 20 minutes even though the dynamic contrast-enhanced sequences alone would be sufficient for interpretation in over 95% of cases. Thus, we present a personalized on-the-fly MRI protocoling paradigm, where a deep learning algorithm uses images acquired during the first few minutes of the exam to triage patients to an abbreviated versus full MRI protocol. We conduct a retrospective reader study to show that this personalized scanning paradigm decreases scan time and cost while maintaining diagnostic performance. |
| 0186
|
14:01
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A panoramic view for supine breast MRI |
| Lena Nohava1, Michael Obermann1, and Elmar Laistler1 | ||
1High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria |
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Keywords: Breast, Visualization A wearable coil worn like a vest (“BraCoil”) has recently been shown to improve signal-to-noise ratio by a factor of up to three in supine breast MRI. However, the visualization of supine breast images is inefficient when using Cartesian views due to the bent shape of the breast along the chest wall. We introduce a panoramic view similar to panoramic dental X-ray to make reading of supine breast MRI more efficient by reducing the number of slices by a factor of 2-4, depending on breast size. |
| 0187 | 14:09
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A voxel-wise composition ratio of DCE-MRI time-intensity curve profiles allows for visualizing and quantifying hemodynamic heterogeneity |
| Bingyu Yao1,2, Zhou Liu3, Yumin Chen2, Jie Wen3, Meng Wang3, Ya Ren3, Dong Liang1, Xin Liu1, Hairong Zheng1, Dehong Luo3, and Na Zhang1 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China, 3Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China |
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Keywords: Breast, Cancer We propose a novel model-free and data-driven approach, i.e., voxel-wise composition ratio on 19 dynamic contrast-enhanced MRI (DCE-MRI) time-intensity curve (TIC) profiles (Type-19) to visualize and quantify spatial hemodynamic heterogeneity. The proposed quantitative method for breast tumor was evaluated and compared with the two existing methods (qualitative and semi-quantitative methods) in 4 different clinical applications. In distinguishing malignancy on breast cancer lesions and predicting tumor proliferation status, we found that the machine learning model based on the Type-19 feature outperformed other two models in the validation set. |
| 0188 | 14:17
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In vivo CEST-Dixon MRI in axillary lymph nodes with and without carcinoma: potential for noninvasive determination of lymph node metastasis |
| Rachelle Crescenzi1,2, Paula M.C. Donahue3,4, R. Sky Jones5, Chelsea Lee6, Maria Garza1,5, Niral J Patel6, Ingrid Meszoely7, and Manus J Donahue5,8 | ||
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, United States, 4Dayani Center for Health and Wellness, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 6Division of Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 7Department of Surgical Oncology, Vanderbilt University Medical Center, Nashville, TN, United States, 8Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Breast, CEST & MT, cancer, lymph node, metastasis, breast cancer The overall goal of this work is to apply a CEST-Dixon MRI approach in the axillary lymph nodes (LNs) of women with breast cancer to test fundamental hypotheses about biochemical LN profiles with carcinoma. Mean z-spectra and corresponding significant differences in cohorts with metastatic vs. benign LNs were observed in regions of known chemical exchange for the nuclear Overhauser effect (PTR=0.087 vs. 0.051, p=0.04), hydroxyl (PTR=0.272 vs. 0.212, p=0.003), and amine (PTR=0.081 vs. 0.033, p=0.003) protons. CEST-Dixon MRI of LNs may have relevance for pre-surgical breast cancer staging and for guiding LN sparing resections to reduce risk for lymphedema. |
| 0189
|
14:25
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High spatial resolution quantitative susceptibility mapping using in-phase echoes enables the depiction of breast microcalcifications |
| Christof Boehm1, Alexander Komenda1, Kilian Weiss2, Jonathan K. Stelter1, Tabea Borde1, Jakob Meineke3, Marcus R. Makowski1, Eva M. Fallenberg1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Philips Research, Hamburg, Germany |
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Keywords: Breast, Susceptibility Breast microcalcifications (MCs) can be the only sign of carcinoma and other precursor lesions of breast cancer in x-ray mammography. Mammography is routinely used for population-based breast cancer screening. However, due to the ionizing nature of x-ray radiation, the use of an MR-based technique would be desirable for repeated examinations especially in screening targeted sub-cohorts at high-risk or younger women. In this work, we present initial results on the visualization of MCs using MR with an optimized high-resolution GRE-scan and quantitative susceptibility mapping. The proposed methodology allows for the robust visualization of MC clusters in MR for the first time. |
| 0190 | 14:33
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T2 and ADC correlated mapping of breast cancer lesions: A spatiotemporal encoding 3T MRI analysis |
| Martins Otikovs1, Noam Nissan2, Edna Furman-Haran1, Debbie Anaby2, Ravit Agassi3, Miri Sklair-Levy2,4, and Lucio Frydman1 | ||
1Weizmann Institute of Science, Rehovot, Israel, 2Sheba Medical Center, Ramat Gan, Israel, 3Ben Gurion University Hospital, Beer Sheva, Israel, 4Sackler School of Medicine, Tel Aviv, Israel |
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Keywords: Breast, Cancer The possibility to improve the MRI contrast on cancerous breast lesions was explored by correlating quantitative T2 and ADC values. To this end, T2 maps of patients were measured at more than one b-value and ADC maps at more than one TE value –in all cases using spatiotemporal encoding (SPEN) MRI. SPEN delivered quality, artifact-free TE-weighted DW images, from which ADC and T2 maps could be correlated despite relatively long acquisitions and heavy signal weighting. Data suggest there may be potential value in combining T2 and ADC mappings, as these low-correlated variables can provide complementary information about breast lesions. |
| 0191 | 14:41
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MR conductivity imaging to decrease false-positive biopsy caused by breast ultrasound: comparison with DWI and abbreviated MRI |
| Soo-Yeon Kim1, Jun-Hyung Kim 2, Nariya Cho1, and Dong-Hyun Kim2 | ||
1Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 2Electrical and Electronic Engineering, Yonsei university, Seoul, Korea, Republic of |
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Keywords: Breast, Electromagnetic Tissue Properties We evaluated the role of MRI as a problem-solving tool to reduce false-positive biopsy caused by breast ultrasound. Seventy nine participants underwent MRI prior to ultrasound-guided core needle biopsy. The MRI protocol consisted of T2-weighted imaging for conductivity map reconstruction, diffusion-weighted imaging, and abbreviated contrast-enhanced MRI. The conductivity, ADC, and BI-RADS criterion lowered false-positive biopsy by 23%, 38%, and 43%, respectively, while being able to detect all cancers. Conductivity imaging showed the potential but showed lower performance than diffusion-weighted imaging and abbreviated MRI in reducing unnecessary biopsies caused by breast ultrasound. |
| 0192 | 14:49
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High-resolution DWI in the breast by Spatiotemporal encoding (SPEN): clinical utility in comparison with SS-EPI and RESOLVE |
| Rena Nakayama1, Mami Iima2,3, Masako Kataoka2, Maya Honda2,4, Yuta Urushibata5, Martins Otikovs6, Noam Nissan7, Lucio Frydman6, Rie Ota2,8, Aika Okazawa2, Kazuki Tsuji1, Masakazu Toi9, and Yuji Nakamoto2 | ||
1Kyoto University Faculty of Medicine, Kyoto, Japan, 2Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, Kyoto, Japan, 4Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan, 5Siemens Healthcare K.K., Tokyo, Japan, 6Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 7Radiology, Sheba-Medical-Center, Ramat-Gan, Israel, 8Tenri Hospital, Nara, Japan, 9Breast Surgery, Kyoto University Hospital, Kyoto, Japan |
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Keywords: Breast, Breast This study investigated the breast lesion conspicuity and ADC reliability for 3 different DWI protocols; SPEN, SS-EPI, and RESOLVE. The in-plane resolution for SPEN and RESOLVE was 1x1mm2, and SS-EPI was 2x2mm2. SPEN showed a higher score for lesion conspicuity than SS-EPI, and a lower score than RESOLVE. ADC values in breast lesions were significantly lower in SPEN than others, presumably due to the choice of different b values, the sequences having different T1/T2 weightings, different robustness vs motions, the presence of unsuppressed fat, or different viewer systems used to analyze the data, which will need further investigation. |
| 0193 | 14:57
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Automated breast tumor segmentation in DWI using multi-modality image registration: a feasibility study using multi-center data |
| Nu N Le1, David C Newitt1, Wen Li1, Deep Hathi1, Jiachao Liang1, Lisa J Wilmes1, Jessica E Gibbs1, Natsuko Onishi1, Bonnie N Joe1, John Kornak2, Patrick J Bolan3, Savannah C Partridge4, and Nola M Hylton1 | ||
1Radiology, University of California, San Francisco, San Francisco, CA, United States, 2Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, United States, 3Radiology, University of Minnesota, Minneapolis, MN, United States, 4Radiology, University of Washington, Seattle, WA, United States |
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Keywords: Breast, Cancer Diffusion-weighted imaging (DWI) in MRI plays an important role in diagnostic applications. Automated tumor segmentation is an important yet challenging step for quantitative breast imaging analysis. While methods have been developed for dynamic contrast enhanced (DCE) MRI, automatic segmentation in breast DWI-MRI is still underdeveloped. The purpose of this study is to develop methods to transfer functional tumor volume (FTV) analysis ROI from DCE-MRI image space to DWI-MRI image space using image registration and extract ADC statistics in regions corresponding to those of DCE segmentations for prediction of pathologic treatment response (pCR). |
| 0194 | 15:05
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Assessment of Breast Lesions by the Kaiser Score for Differential Diagnosis on MRI: The Added Value of ADC and Machine Learning Modeling |
| Zhong-Wei Chen1, You-Fan Zhao1, Hui-Ru Liu1, Jie-Jie Zhou1, Hai-Wei Miao1, Shu-Xin Ye1, Yun He1, Xin-Miao Liu1, Min-Ying Su2,3, and Mei-Hao Wang1 | ||
1the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, 2University of California, Irvine, CA, United States, 3Kaohsiung Medical University, Kaohsiung, Taiwan |
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Keywords: Breast, Breast How ADC could be combined with Kaiser score (KS) for the diagnosis of breast cancer was emerged as an interesting research area. We modified KS to KS+ based on the dichotomized ADC >1.4×10-3 mm2/s, and integrated KS and the continuous ADC values to build machine learning (ML) models for assessment. The diagnostic specificity of KS+ was higher than that of KS with a slightly degraded sensitivity. The AUCs of them were not significantly different. When the KS and the continuous ADC values were used to train ML models, the performance could be further improved while maintaining at a high sensitivity. |
| 0195 | 15:13
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Multisite Intravoxel Incoherent Motion Repeatability and Reproducibility in a Breast Diffusion Phantom at 3T |
| Dibash Basukala1, Artem Mikheev1, Nima Gilani1, Thomas Benkert2, Linda Moy1, Katja Pinker-Domenig3, Sunitha B. Thakur3, and Eric E. Sigmund1 | ||
1Radiology, NYU Langone Health, New York, NY, United States, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Breast, Phantoms, IVIM, Reproducibility Monoexponential apparent diffusion coefficient (ADC) and biexponential intravoxel incoherent motion (IVIM) analysis of diffusion-weighted imaging (DWI) is helpful in the characterization of breast tumors. Toward this goal, a novel breast phantom containing tubes of different polyvinylpyrrolidone (PVP) concentrations, water, fat, and sponge flow chambers was utilized. This work tests this breast phantom at two sites employing different vendor MRI scanners to estimate the ADC and IVIM parameters. The results are reproducible within sites, and show progress towards reproducibility across sites and vendors, and can be used in the future in multicenter clinical trials for breast cancer characterization, prediction and prognosis. |
| 0196 | 15:21
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Deep learning improves breast IVIM estimation in better benign and malignant lesion differentiation |
| Shuhao Shi1, Lu Wang1, Jianfeng Bao2, Zhigang Wu3, Congbo Cai1, Zhong Chen1, Jiazheng Wang3, and Shuhui Cai1 | ||
1Department of Electronic Science, Xiamen University, Xiamen, China, 2Department of Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3MSC Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China |
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Keywords: Breast, Cancer Intravoxel incoherent motion (IVIM) with multiple b-values, as an advanced diffusion model, provides accurate identification of breast cancer. However, the IVIM-derived parameters vary greatly depending on different fitting methods, especially for parameters D* and f. In this study, we proposed a method for high-quality breast IVIM reconstruction based on deep neural network. Data analysis shows that our proposed method improves the visual quality of breast IVIM parametric maps with better benign and malignant breast lesion differentiation ability compared to the traditional least-square fitting method. |
| 0197 | 15:29
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The performance of evaluation in neoadjuvant chemotherapy for breast cancer on abbreviated breast MRI: comparison with full diagnostic protocol |
| Wenjie Tang1, Yuan Guo1, Siyi Chen1, Xueli Li1, Yongzhou Xu2, and Xinhua Wei1 | ||
1Guangzhou First People's Hospital, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Breast, Cancer, Breast neoplasms, Neoadjuvant chemotherapy, Radiologists To compare the diagnostic efficacy of abbreviated breast MRI (AB-MRI) and regular full diagnostic protocol MRI (FDP-MRI) in the assessment of response to neoadjuvant chemotherapy (NAC) in breast cancer, this study retrospectively analyzed the performance of AB-MRI and FDP-MRI in breast cancer patients undergoing NAC. We found that, for experienced radiologists, compared with FDP-MRI, AB-MRI showed similar sensitivity, specificity, and accuracy in the evaluation of pCR and similar accuracy in the measurement of residual tumor size for breast cancer. |
| 0198 | 15:37
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Intravoxel incoherent motion improves diffusion-weighted imaging in the detection of response to neoadjuvant chemotherapy in breast cancer |
| Sai Man Cheung1, Wing Shan Wu1, Nicholas Senn1, Ravi Sharma2, Trevor McGoldrick2, Tanja Gagliardi1,3, Ehab Husain4, Yazan Masannat5, and Jiabao He1,6 | ||
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Department of Oncology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Department of Radiology, Royal Marsden Hospital, London, United Kingdom, 4Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 6Translational and Clinical Research Institute, Newcastle University, Aberdeen, United Kingdom |
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Keywords: Breast, MR-Guided Interventions Breast cancer is a major and expanding health challenge, and neoadjuvant chemotherapy (NACT) is increasingly prescribed to facilitate breast surgery. However, response to NACT is highly inconsistent, imposing an ongoing demand for improved imaging methods for early response identification. Tissue perfusion, a sensitive marker of cancer metabolism, can be derived from intravoxel incoherent motion (IVIM) model, and recent Bayesian algorithm yields increased sensitivity and precision in pancreatic cancer. We therefore hypothesise that IVIM model powered by Bayesian algorithm is able to detect early treatment-induced changes in tumour perfusion and diffusion, with the potential to impact patient care pathway. |
| 0199 | Pitch: 13:45 Poster: 13:45 Screen 1
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Universal pulses for the cervical spinal cord at 7T: a feasibility study |
| Daniel Papp1, Nicolas Boulant2, Aurelien Massire3, Frank Mauconduit2, Vincent Gras2, and Julien Cohen-Adad1,4,5,6 | ||
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2University of Paris-Saclay, CEA, NeuroSpin, CNRS, BAOBAB, Gif sur Yvette, France, 3Siemens Healthcare SAS, Saint-Denis, France, 4Mila - Quebec AI Institute, Montreal, QC, Canada, 5Functional Neuroimaging Unit, Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, QC, Canada, 6Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada |
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Keywords: Parallel Transmit & Multiband, Spinal Cord While the Universal Pulse approach to mitigate the RF field inhomogeneity effect has been successfully deployed in brain imaging, adoption in spinal cord imaging is lacking. Here, we demonstrate the feasibility of designing Universal Pulses for the cervical spinal cord at 7T, and show a marked improvement for signal intensity in the upper thoracic cord. |
| 0200 | Pitch: 13:45 Poster: 13:45 Screen 2
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Multidimensional RF pulse design in spin-domain using auto-differentiation for 3D refocusing pulse |
| Jiayao Yang1, Jon-Fredrik Nielsen2, and Yun Jiang2,3 | ||
1Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States, 2Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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Keywords: RF Pulse Design & Fields, RF Pulse Design & Fields This study proposed a novel algorithm for designing multidimensional RF in spin-domain using auto-differentiation in PyTorch. Our algorithm uses spin-domain description of rotations to formulate the RF pulse design into optimization problems. We designed 3D refocusing pulses and verified the performance using spin-echo based sequences in phantom at 1.5T and in vivo in the brain at 3T. |
| 0201 | Pitch: 13:45 Poster: 13:45 Screen 3
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Validation and Application of SLfRank RF Pulse Design |
| zheng zhong1, Congyu Liao2, Janhavi Singhal3, Frank Ong2, Shreyas S. Vasanawala2, and John M. Pauly4 | ||
1Radiology, Stanford University, Palo Alto, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3University of California Santa Barbara, Santa Barbara, CA, United States, 4Electrical Engineering, Stanford University, Stanford, CA, United States |
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Keywords: RF Pulse Design & Fields, RF Pulse Design & Fields SLfRank is a novel RF pulse design framework proposed to improve upon the well-established Shinnar Le-Roux (SLR) design algorithm. Numerical experiments demonstrated promising effectiveness of SLfRank, prompting a need to validate its experimental feasibility. An experimental comparison of SLR and SLfRank is achieved by measuring slice profiles, multiband excitation, and spin-echo pulses on phantom and human brain. SLfRank produced images of comparable quality to the SLR algorithm, but with reduced RF energy and greater control over RF pulse phase. SLfRank’s numerical feasibility aligned closely with its effectiveness experimentally thus proving its technical feasibility for applications in this work and beyond. |
| 0202
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Pitch: 13:45 Poster: 13:45 Screen 4
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A Versatile Toolbox for Rapid, Joint Design of pTx RF and Gradient Pulses Using Pytorch's Autodifferentiation |
| Dario Bosch1,2, Jonas Bause1, and Klaus Scheffler1,2 | ||
1High Field MR Center, MPI for Biological Cybernetics, Tuebingen, Germany, 2Department for Biomedical Magnetic Resonance, University Hospital Tübingen, Tuebingen, Germany |
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Keywords: Parallel Transmit & Multiband, RF Pulse Design & Fields, Python, PyTorch, Optimization Traditional pTx pulse design focuses on optimizing RF pulses with a fixed or parametrized gradient waveform. Utilizing fast GPUs for autodifferentiation, the optimization process becomes sufficiently efficient that RF pulses and the underlying gradient waveforms can be freely optimized concurrently within short time. This allows for the time-efficient creation of pTx pulses without prior knowledge about suitable gradient trajectories. Still, restrictions e.g. due to hardware limitations may be included into the optimization process.We provide a pulse design toolbox and demonstrate its ability to generate universal small-FA excitation pulses as well as large-FA pulses. |
| 0203 | Pitch: 13:45 Poster: 13:45 Screen 5
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Parallel transmit spatial spectral pulse design with specific absorption rate control: demonstration for robust water excitation at 7 Tesla |
| Xin Shao1, Xiaodong Ma2, Hua Guo1, Kamil Ugurbil3, and Xiaoping Wu3 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 3Center for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Parallel Transmit & Multiband, RF Pulse Design & Fields There has been an increasing interest in designing parallel transmit spatial spectral (pTx SPSP) RF pulses for reducing transmit B1 inhomogeneity while achieving water selective excitation. In this study, we propose a new pTx SPSP pulse design method with explicit SAR control with nearly complete fat suppression. Our results based on human calibration data acquired at 7T suggest that our method is equally applicable to both kT-point and SPINS pulse design, outperforming an existing method based on combining pTx with binomial pulse design approach. We believe our method will have a utility for high-resolution, whole-brain functional MRI at ultrahigh field. |
| 0204
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Pitch: 13:45 Poster: 13:45 Screen 6
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Hybrid-PUSH pulses for controlled MT bias in T1 mapping at 7T |
| David Leitão1, Raphael Tomi-Tricot2,3, Pip Bridgen1, Patrick Liebig4, Rene Gumbrecht4, Dieter Ritter4, Jo Hajnal1,3, and Shaihan Malik1,3 | ||
1Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom, 3Centre for the Developing Brain, King's College London, London, United Kingdom, 4Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: RF Pulse Design & Fields, Magnetization transfer While standard pulse design methods control the rotation of magnetization (i.e. flip angle), the recently proposed PUSH method aims to control the root-mean-squared B1, to control magnetization transfer (MT) effects. General RF pulses create both effects simultaneously: this is important in T1 mapping, where incidental MT effects introduce bias. We show that using standard pulse design methods to improve flip angle uniformity can actually worsen the bias in T1 measurement by producing uncontrolled spatially variable MT effects. We propose a ‘hybrid-PUSH’ method optimizing both flip angle and B1rms, and demonstrate this improves quality of T1 estimation in-vivo at 7T. |
| 0205 | Pitch: 13:45 Poster: 13:45 Screen 7
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RF shimming for improved B1+ in the carotid arteries using parallel transmission (pTx) head coils at 7T |
| Matthijs H.S. de Buck1, Aaron T. Hess1, and Peter Jezzard1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Keywords: Parallel Transmit & Multiband, High-Field MRI, Neurovascular Cerebrovascular imaging methods suffer from a rapid drop in B1+ into the neck when using typical transmit head coils at 7T. Custom RF shims on regular pTx head coils could improve the B1+ magnitude in the major feeding arteries in the neck region over standard CP transmit mode. We found that this can improve the B1+ magnitude in the carotid arteries by 36% while also improving the RF homogeneity. This can be achieved using universal, phase-only RF shims, facilitating easy implementation in existing sequences and without requiring custom hardware. |
| 0206 | Pitch: 13:45 Poster: 13:45 Screen 8
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Eliminating Banding Artifacts in bSSFP using Parallel Transmission |
| Chia-Yin Wu1,2,3, Jin Jin2,4, Markus Barth1,2,3, and Martijn Cloos1,2 | ||
1Centre for Advanced Imaging, University of Queensland, St Lucia, Australia, 2ARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, St Lucia, Australia, 3School of Information Technology and Electrical Engineering, University of Queensland, St Lucia, Australia, 4Siemens Healthcare Pty Ltd, Brisbane, Australia |
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Keywords: Parallel Transmit & Multiband, RF Pulse Design & Fields In this work, we demonstrate a parallel transmit implementation of the bSSFP sequence at 7 Tesla. The bSSFP sequence is one of the most efficient acquisition strategies however highly sensitive to B0 inhomogeneity which creates undesirable banding artefacts. A tailored pair of pTx pulses can be used to induce the desired steady-state magnetisation behaviour at all spatial locations regardless of the off-resonance frequency due to B0 inhomogeneity. Shown through simulation and experimental validation, we were able to capture signal in one acquisition with significant mitigation of banding artifacts and improvement in signal uniformity without SNR loss and time penalty. |
| 0207 | Pitch: 13:45 Poster: 13:45 Screen 9
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Experimental Assessment of the Effects of Subject Motion on Local SAR and pTx Pulse Performance at 7T |
| Sydney Nicole Williams1, Paul McElhinney1, Belinda Ding1,2, Sarah Allwood-Spiers3, David A. Porter1, Shajan Gunamony1,4, and Wyger Brink5 | ||
1Imaging Centre of Excellence, University of Glasgow, Glasgow, Scotland, 2Siemens Healthcare Ltd., Frimley, United Kingdom, 3NHS GGC MRI Physics, NHS Greater Glasgow & Clyde, Glasgow, Scotland, 4MR CoilTech Ltd., Glasgow, Scotland, 5Magnetic Detection & Imaging Group, University of Twente, TechMed Centre, Netherlands |
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Keywords: Parallel Transmit & Multiband, Safety, RF Pulse Design, RF Coils Previous simulation studies of motion in parallel transmission (pTx) have identified large increases in specific absorption rate (SAR) and pulse performance error. This abstract extends this by evaluating the effects of motion on RF shimming and dynamic pTx in vivo at 7T. The T1w image of a healthy volunteer was segmented to create a body model for electromagnetic simulation in a custom pTx coil. The model was simulated at six head positions matched to experimental measurements. Motion had a detrimental effect on pTx pulse performance and also caused local SAR changes, though not as severe as seen previously in simulation. |
| 0208
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Pitch: 13:45 Poster: 13:45 Screen 10
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Online gradient optimisation for spokes parallel transmit – the BOGAT method |
| Minghao Zhang1 and Christopher T. Rodgers1 | ||
1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom |
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Keywords: Parallel Transmit & Multiband, Parallel Transmit & Multiband Spokes parallel transmit pulses improve the homogeneity of ultra-high field imaging. Typically the gradient trajectory (i.e. spoke kt-space positions) is determined using the iterative Fourier transform approach (FTA). We introduce “BOGAT” (Bayesian Optimisation of GrAdient Trajectory) to efficiently determine globally optimal gradient trajectories.
We evaluated BOGAT in phantoms for single-band and multi-band excitation, and retrospectively in 9 volunteers using existing B0 and B1+ maps.
BOGAT improves flip angle homogeneity (by 12.8% vs FTA, P<0.001) and reduces SAR (17.2%, P<0.001). Calculations take ~10s extra for a set of multiband pulses, making it feasible to use for online per-subject optimisation. |
| 0209 | Pitch: 13:45 Poster: 13:45 Screen 11
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An Improved Intraoral Transverse Loop Coil Design for High Resolution Dental MRI |
| Ali Caglar Özen1, Serhat Ilbey1, Feng Jia1, and Michael Bock1 | ||
1Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany |
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Keywords: Non-Array RF Coils, Antennas & Waveguides, New Devices, dental MRI MRI can simultaneously image soft and hard tissues such as glands, teeth, gum, nerves and bone, thus could be valuable for diagnosis of dental pathologies and implant planning. Intraoral coils have been proved essential to dental MRI due to superior sensitivity compared to external coils. In this study, we introduce a modified transverse loop coil design, which provides improved sensitivity, homogeneity, comfort and safety. We also introduce a bio-compatible, artefact-free and MR-silent coating for intraoral coils. Phantom and in vivo dental MR images demonstrate the advantages of the new intraoral coil design. |
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A 3D Surface Coil with Deep Learning Based Noise Reduction for Parotid Gland Imaging |
| Sayim Gokyar1, Chenyang Zhao1, Shajan Gunamony2,3, Jiaruo Yan2, Jonathan West4, Niels Kokot4, and Danny JJ Wang1,5 | ||
1USC Stevens Neuroimaging and Informatics Institute, Los Angeles, CA, United States, 2MR Coiltech Limited, Glasgow, UK, Glasgow, United Kingdom, 3Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, 4Department of Otolaryngology - Head and Neck Surgery, LAC+USC Medical Center, Keck Medicine of USC, Los Angeles, CA, United States, 5Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Keywords: New Devices, Neuro Parotid salivary gland neoplasms occur in conspicuous locations near the facial nerve and have a risk for malignant transformation – making early diagnosis and treatment essential. Here we present a novel three-dimensional surface coil (3D Coil) architecture and a deep learning-based noise reduction method that offers twice higher signal to noise ratio compared to single channel surface coil for parotid gland imaging at 7T. |
| 0211 | Pitch: 13:45 Poster: 13:45 Screen 13
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A self-decoupled 16-channel transmit, 80-channel receive array for 10.5 Tesla human head imaging |
| Matt Waks1, Russell Lagore1, Edward Auerbach1, Andrea Grant1, Lance DelaBarre1, Steve Jungst1, Nader Tavaf1, Jerahmie Radder1, Pierre-Francois Van de Moortele1, Alireza Sadeghi-Tarakameh1, Yigitcan Eryaman1, Gregor Adriany1, and Kamil Ugurbil1 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Keywords: RF Arrays & Systems, RF Arrays & Systems We present a splittable 16-channel self-decoupled (SD)1 transmit/receive (Tx/Rx) loop array combined with a 64-channel receive-only (Rx) loop array to generate a 80Rx/16Tx array for human head imaging at 10.5 Tesla. Compared to the previously presented SD transmitter, we designed, miniaturized, and integrated the MR system interface, including custom transmit/receive switches and preamplifiers, into the coil housing. We also implemented our new custom 128 receiver system, which supported this combined 80 channel receive configuration. Experimental MR results demonstrate advantages over our previous 16-channel transmit-only SD array and substantially increased central SNR with the 80-channel compared to the 64-Rx only configuration. |
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Dynamic dipole receive coils for improved 3D parallel imaging at ultra-high magnetic field |
| Felix Glang1, Anton V. Nikulin1,2, Nikolai Avdievich1, Dario Bosch1,2, Theodor Steffen1, and Klaus Scheffler1,2 | ||
1High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Department of Biomedical Magnetic Resonance, Eberhard Karls University Tübingen, Tübingen, Germany |
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Keywords: RF Arrays & Systems, High-Field MRI Parallel imaging with electronically modulated time-varying receive sensitivities is a novel concept for improved reconstruction quality and reduced noise amplification. Previously, it was demonstrated for 2D imaging using reconfigurable surface loop receive elements. In the present work, we extend the approach to 3D imaging and for that introduce a reconfigurable single-row dipole receive array. By using PIN diodes to switch between capacitive and inductive impedance in the dipole arms, spatially distinct sensitivity profiles are formed that can be rapidly modulated. This is shown to enable parallel imaging acceleration along the dipole’s axis and improve reconstruction quality compared to static sensitivities. |
| 0213 | Pitch: 13:45 Poster: 13:45 Screen 15
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Using the end of the feeding cable directly as a flexible antenna at 7T: the coax monopole antenna |
| Lyanne M I Budé1,2, Bart R Steensma3, Irena Zivkovic1, and Alexander J E Raaijmakers2,3 | ||
1Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 3Division of Imaging and Oncology, UMC Utrecht, Utrecht, Netherlands |
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Keywords: RF Arrays & Systems, High-Field MRI This work introduces the coax monopole antenna. The antenna consists of a continuation of the feeding cable and uses only one inductor at the distal side of the antenna to achieve matching. Creating a radiative antenna is done by introducing one interruption in the shield of the coaxial cable, and the antenna length is enforced using a cable trap. Simulations and measurements show that the performance of this antenna is comparable to the fractionated dipole antenna, while introducing many advantages like easy cable routing, proper loading of the coil due to its flexibility, and easy construction. |
| 0214 | Pitch: 13:45 Poster: 13:45 Screen 16
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Combined triple tuned X-nuclei (2H, 23Na, 31P) birdcage and 1H 4 channel dipole array for head imaging at 7T |
| Jan Paska1,2, Bili Wang1,2, Anna Chen1,2, Guillame Madelin1,2, and Ryan Brown1,2 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States, 2Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States |
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Keywords: RF Arrays & Systems, RF Arrays & Systems One method to achieve multiple coil resonances involves the use of diode or microelectromechanical system (MEMS) switches to toggle between resonances at proton and x-nuclei frequencies. While this approach provides a straightforward means to activate or deactivate coils corresponding to the desired nucleus, it does not allow simultaneous multinuclear data acquisition hat is required to eliminate temporal disparities. In this work we present a triple tuned birdcage for truly simultaneous imaging of X-nuclei combined with a proton dipole array at 7T. We show initial phantom imaging experiments and compare SNR with existing RF coils. |
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Design of a 64-Channel ex vivo Brain Rx Array Coil with field monitoring and temperature control for DWI at 3T |
| Alina Scholz1, Mirsad Mahmutovic1, Mona Alem1, Roland Müller2, Torsten Schlumm2, Harald E Möller2, Anastasia Yendiki3,4, Gabriel Ramos-Llorden3,4, Lawrence L Wald3,4,5, Susie Y Huang3,4,5, and Boris Keil1,6 | ||
1Institute of Medical Physics and Radiation Protection (IMPS), TH-Mittelhessen University of Applied Sciences, Giessen, Germany, 2Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlstown, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 6Center for Mind, Brain and Behavior (CMBB), Marburg, Germany |
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Keywords: RF Arrays & Systems, Brain Long-durational diffusion weighted MRI scans with high gradient strength and high slew rate experiences in addition to the generally low signal-to-noise-ratio several problems, such as image artifacts due to eddy currents and the gradual increase of the sample temperature. Combining a high-density anatomically shaped receive coil with field monitoring and temperature control can overcome these limitations. Therefore, we designed and constructed a 64-channel whole human ex vivo brain Rx coil with integrated field monitoring and temperature control system. First SNR measurements confirm the receive capability with high SNR. |
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Degenerate Birdcage Coil Mixed with Bent Dipole Antennas to Enhance Central SNR in Phosphorus MRI/MRS of Human Brain at 7T |
| Daniel Wenz1,2, Thomas Dardano1,2, Mark Widmaier1,3, Songi Lim1,2, Zhiwei Huang1,2, and Lijing Xin1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland, 3Laboratory of functional and metabolic imaging, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland |
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Keywords: RF Arrays & Systems, RF Arrays & Systems Dipole antennas can be combined with loop elements to increase a central SNR in human brain MRI at 7T (300MHz). However, this approach was not investigated at lower frequencies. In this study a degenerate birdcage coil was combined with a pair of bent dipole antennas to increase a central SNR for phosphorus MRS of human brain at 7T (120MHz). Simulations showed that this approach could provide a 1.6-fold central SNR gain vs. degenerate birdcage-only. The RF coil was constructed and successfully tested at the bench. In the next step, an experimental validation of the proposed strategy will be performed. |
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A head and neck array add-on to the two-channel Nova coil using six SCC elements and Nova 32 channel receive array at 7T-MRI |
| Sadri Güler1,2, Vitaliy Zhurbenko1,3, Irena Zivkovic1,4, Hanne Christensen5, Sverre Rosenbaum5, Inger Birgitte Havsteen6, and Esben Thade Petersen1,2 | ||
1Section for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark, 3Department of Electrical Engineering, Technical University of Denmark, Kgs Lyngby, Denmark, 4Electrical Engineering Department, Technical University of Eindhoven, Eindhoven, Netherlands, 5Department of Neurology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark, 6Department of Radiology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark |
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Keywords: RF Arrays & Systems, RF Arrays & Systems The advantage of low coupling ratios of shielded-coaxial-cable coils (SCCs) are used to obtain an eight-channel head-neck transmit array for 7T-MRI. The six SCCs are combined with the two-channel Nova coil by taking the advantage of low coupling between SCCs and the Nova coil. Low inter element coupling along with the independent radiation regions of the SCCs and the Nova coil made it possible to do a straightforward B1-shimming resulting in a relatively homogeneous magnetic field in both head and neck region. Structural images are acquired with large coverage down to the bifurcation while high SNR is preserved. |
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A Metamaterial Liner Body Coil for Wide-bore 3T MRI |
| Leo Rémillard1, Adam Mitchell Maunder1, Fraser Robb2, Ashwin K. Iyer3, and Nicola De Zanche1 | ||
1Oncology, Medical Physics, University of Alberta, Edmonton, AB, Canada, 2GE Healthcare, Aurora, OH, United States, 3Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada |
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Keywords: Hybrid & Novel Systems Technology, Body, metamaterial The transmit field suffers from standing wave inhomogeneities at field strengths ≥3T, which degrade image quality and create specific absorption rate (SAR) hotspots. We present the first experimental demonstration of a whole-body metamaterial liner (metaliner) that enables traveling wave excitation at a lower frequency than achievable otherwise. The simulated transmit efficiencies for a comparable birdcage and metaliner were 2.43μT⁄√kW±23.8% and 1.80μT⁄√kW±25.5% respectively, and the maximum 10g local SAR was reduced by 18% with the metaliner. This shows that the metaliner is an attractive alternative to the BC with greater safety thanks to the lower localized SAR. |
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Mapping curvature responses in human V4 using VASO at 3T |
| Elisa Zamboni1,2, Isaac Watson2,3, Sharyfah Alasiri2,4, Elizabeth Fear2,5, Elia Formisano6,7, Rainer Goebel7,8, Rüdiger Stirnberg9, Laurentius Huber6,7, Aneurin Kennerley2,10, and Antony Morland1,2,11 | ||
1Psychology, University of York, York, United Kingdom, 2York Neuroimaging Centre, University of York, York, United Kingdom, 3School of Physics, Engineering, and Technology, University of York, York, United Kingdom, 4University of York, York, United Kingdom, 5Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy, 6Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 7Maastricht Brain Imaging Centre, Maastricht University, Maastricht, Netherlands, 8Cognitive Neuroscience, Maastricht Univeristy, Maastricht, Netherlands, 9German Center for Neurodegenerative Diseases (DNZE), Bonn, Germany, 10Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom, 11York Biomedical Research Institute, University of York, York, United Kingdom |
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Keywords: Gray Matter, fMRI (task based), VASO The intermediate processing steps in human vision are not well characterised. We show however that the high specificity of VASO fMRI permits investigation functional organisation of curvature responses in human visual area V4, which is an intermediate region in the visual system. Understanding how the functional architecture and hierarchical integration of local contours (curvature) contributes to formation of shapes can inform computational models of object recognition. The emergence of inter-individual differences in these organisations can explain individual differences in healthy and impaired visual perception. |
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Excitation and inhibition in the human M1 during motor memory consolidation and the relation to neural plasticity: a multimodal 7T study |
| Tamir Eisenstein1, Edna Furman-Haran2, and Assaf Tal1 | ||
1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel |
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Keywords: Brain Connectivity, Spectroscopy, learning and plasticity Here, we show, using ultra-high field MRS and functional and structural MRI, how changes in glutamate and GABA in the human motor cortex following motor skill learning may play key roles in promoting motor memory consolidation and neuroplasticity. Increased glutamate after learning was associated with overnight skill performance improvements, and increased functional connectivity of M1 with the striatum, suggesting for functional plasticity. Greater reduction in GABA following learning was associated with increased grey matter volume in M1 overnight, suggesting for structural plasticity. We therefore highlight the importance of these neurochemical modifications in promoting learning and plasticity in the human brain. |
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Dynamic ASL and Multi-echo BOLD in Hippocampus Functional Connectivity of Aging |
| Zongpai Zhang1, Shichun Chen1, Yanchen Guo1, Yakun Zhang1, Lissa Riley2, Adam K. Anderson2, and Eve DeRosa2 | ||
1State University of New York at Binghamton, Binghamton, NY, United States, 2Cornell University, Ithaca, NY, United States |
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Keywords: Brain Connectivity, Aging The effect sizes of aging in hippocampus (HPC) resting-state functional connectivity (rsFC) using dASL and multi-echo BOLD (ME-BOLD) imaging were evaluated in 20 subjects (10 young adults, 10 older adults). Both dASL and ME-BOLD showed reduced HPC rsFC in older adults but with larger extended region in dASL results. dASL demonstrated significantly higher effect sizes of aging in HPC rsFC compared to ME-BOLD, supporting more sensitivity of dASL in detecting the aging effect in HPC rsFC. |
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Multi-Echo EPI Increases Sensitivity to BOLD Activation in the Olfactory Network Compared to Single-Echo EPI |
| Sichen Ludwig Zhao1,2, Clara U Raithel2,3, Jay A Gottfried2,3, John A Detre2, and M Dylan Tisdall4 | ||
1Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Psychology, School of Arts and Science, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Brain Connectivity, fMRI, Multi-echo EPI The human olfactory network presents technical challenges for functional MRI due to its location in regions of high static susceptibility. We developed a novel multi-echo EPI (ME-EPI) protocol, optimized for olfactory regions, and compared this protocol to a conventional single-echo EPI (1E-EPI). We show that the optimized ME-EPI increases sensitivity to BOLD activation response for olfactory regions and reduces the numbers of subjects required to detect significant group effects. |
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Investigating the endfolial pathway of the human hippocampus using ex vivo dMRI at high spatio-angular resolution |
| Jonathan Scharff Nielsen1 and Manisha Aggarwal1 | ||
1Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Brain Connectivity, Tractography & Fibre Modelling, Hippocampus internal circuitry; probabilistic tractography. The endfolial pathway is a collection of fibers within the hilus of the human hippocampus that forms part of the complex intra-hippocampal circuitry. We investigate this pathway using high-field (11.7 T), high spatio-angular resolution diffusion MRI (dMRI) of 3 intact, excised hippocampi. Using probabilistic tractography and computational unfolding of the hippocampal strata, we demonstrate a unique sensitivity of dMRI to the 3D trajectory of the intra-hippocampal fibers. Keywords: Ex vivo high spatio-angular resolution diffusion MRI; hippocampus internal circuitry; probabilistic tractography. |
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Hippocampal-cortical connections with high-resolution ex vivo and in vivo diffusion MRI of human brain at 7T |
| Zuozhen Cao1, Zhiyong Zhao1, Qinfeng Zhu1, Keqing Zhu2, Jing Zhang3, and Dan Wu1 | ||
1Department of Biomedical Engineering, Zhejiang University, HangZhou, China, 2China Brain Bank and Department of Neurology in Second Affiliated Hospital, Zhejiang University, HangZhou, China, 3Department of Pathology, The First Affiliated Hospital and School of Medicine, Zhejiang University, HangZhou, China |
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Keywords: Brain Connectivity, Diffusion/other diffusion imaging techniques, Ex-vivo, hippocampus, structure connectivity Hippocampus is a critical brain structure associated with many brain functions. The connectivity between hippocampal sub-regions and cerebral cortex hasn’t been fully characterized, and spatial resolution is the key to resolve such connectivity. We utilized 3D high-resolution ex vivo diffusion MRI (dMRI) at 7T to investigate the structure connectivity between hippocampal sub-regions and cortex and compared the results with in vivo data. We found that different sub-regions demonstrated unique fiber projections to cortex, and the high-resolution ex-vivo dMRI resulted in more connections with temporal-occipital lobe and less connections to central gyrus and frontal lobe, compared to lower-resolution in vivo dMRI. |
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Optimizing Reproducibility of White Matter Tractography in Longitudinal Imaging of a Large Sample of Developing Adolescents |
| Pierre Nedelec1, Samuel Lashof-Regas1, Andreas Rauschecker1, and Leo Sugrue1 | ||
1Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Brain Connectivity, Adolescents The best method for automatically producing replicable white matter (WM) tracts from diffusion imaging is not known. We use Automated Fiber Quantification (AFQ) to compare probabilistic and deterministic models’ performance generating 18 WM tracts for each of 1000 adolescents at baseline and 2-year follow up. We gauged performance on the correlation between fractional anisotropy (FA) values and degree of volumetric overlap (DICE score). Based on these measures we found that a probabilistic approach was able to more reliably generate tract profiles over time within individual subjects. |
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The Influence of b value and Resolution on MR Tractography and Connectome Construction in Adult Mouse Brain at 16.4 Tesla |
| Majd Alkhalily1, Laura Currey2, Michael Piper2, and Nyoman D Kurniawan1 | ||
1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2The School of Biomedical Sciences, The University of Queensland, Brisbane, Australia |
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Keywords: Brain Connectivity, Diffusion/other diffusion imaging techniques, Tractography Several pipelines are available to quantify mouse brain connectome using diffusion-tractography. However, data acquisition and processing methods used a wide range of parameters. In this study, ex-vivo adult mouse brains were scanned using a range of b values, and spatial and angular resolutions at 16.4 T. iFOD2 were used for fibertracking to generate the connectomes. Network analysis revealed increased nodal degree and reduced connectivity at 75 μm and this change increases at higher b value. Comparison with Allen mouse brain atlas showed consistent connectome profiles were achieved by acquiring diffusion with b=5000 s/mm2 at 100 μm resolution and 30 directions. |
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Separation of cortical and non-cortical networks to visual-somatosensory interaction by fMRI with optogenetic silencing |
| Thi Ngoc Anh Dinh1 and Seong-Gi Kim1 | ||
1Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, South Korea, Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea, Suwon, Korea, Republic of |
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Keywords: Brain Connectivity, fMRI (task based) Multisensory integration is necessary for the animal to survive in the real world. Multiple studies with conventional methods established the multisensory integration process in multiple brain areas. This study aimed to investigate interactions between visual and somatosensory networks in a whole brain scale using 15.2T BOLD fMRI with the assistance of cortical silencing by optogenetic stimulation.Keywords: ultrahigh field fMRI, optogenetics, multimodal integration. |
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Reorganization of functional networks in squirrel monkey brain after thalamic injury and their relations to task-specific behaviors |
| Anirban Sengupta1, Daniela Hernandez Duque1, Arabinda Mishra1, Jamie L Reed1, Pai-Feng Yang1, Feng Wang1, Zhangyan Yang1, Li Min Chen2, and John C Gore1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Medical Center, NASHVILLE, TN, United States |
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Keywords: Brain Connectivity, Brain, Thalamus lesion Resting state fMRI was used to assess whole brain functional networks before and after a targeted, unilateral lesion in the hand and arm representation of the ventroposterior lateral nucleus of the thalamus of squirrel monkeys. Using Independent Component Analysis, the overall whole brain resting state functional connectivity (rsFC) dropped after injury but slowly recovered. The trajectory of network changes corresponded well with quantitative metrics of animal performance on a behavioral task using the affected hand. Some functional networks showed reductions in connectivity post injury followed by recoveries while others reflected compensatory increases that began in the first week after injury. |
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Biphasic fMRI responses to optogenetic stimulation of parvalbumin interneurons |
| Tan Thanh Vo1,2,3, Geun Ho Im3, Patrick J Drew4, and Seong-Gi Kim1,2,3 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea, Suwon, Korea, Republic of, 3Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea, Suwon, Korea, Republic of, 4Center for Neural Engineering, Departments of Engineering Science and Mechanics, Neurosurgery, Biology, and Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA, University Park, PA, United States |
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Keywords: Brain Connectivity, fMRI (task based) Parvalbumin (PV) neurons are the largest population of cortical interneurons, thus their role in neurovascular coupling is highly important in interpreting fMRI data, especially optogenetic fMRI. However, PV-based hemodynamic response is not well-understood. Here, we observed the biphasic BOLD response with initial vasoconstriction and follow-up ultraslow vasodilation at the stimulation site by PV photostimulation, while negative BOLD was observed at the downstream output. CBV-fMRI revealed that vasoconstriction localizes at middle to deeper layers matching with the distribution of glutamatergic neurons, while vasodilation propagated from superficial layers driven by neuropeptide substance P signaling. |
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Neural underpinning of a respiration-related resting-state fMRI network |
| Nanyin Zhang1 and Wenyu Tu1 | ||
1The Pennsylvania State University, University Park, PA, United States |
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Keywords: Brain Connectivity, Animals, Respiration, Physiological impacts Respiration can induce non-neural artifacts in the resting-state fMRI (rsfMRI) signal. In the meantime, as a crucial physiologic process, respiration that can directly drive neural activity change, and may thereby modulate the rsfMRI signal. Nonetheless, this potential neural component in the respiration-fMRI relationship remains elusive. To elucidate this issue, we developed a platform to achieve a concurrent measure of electrophysiology, respiration, and whole brain rsfMRI signals, and identified a respiration-associated network that was underpinned by neural activity, which represents a novel component in the respiration-rsfMRI relationship that is distinct from respiration-related rsfMRI artifacts. |
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Mapping functional connectivity of insular subdivisions using connectivity-based parcellation in adolescents with major depressive disorder |
| Zilin Zhou1, Lingxiao Cao1, Yingxue Gao1, Ruohan Feng2, Yang Li3, Weijie Bao1, Kaili Liang1, Lihua Zhuo2, Guoping Huang3, and Xiaoqi Huang1,4 | ||
1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, Chengdu, China, 2Department of Radiology, the Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China, Mianyang, China, 3Department of Psychiatry, the Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China, Mianyang, China, 4Psychoradiology Research Unit of the Chinese Academy of Medical Science , West China Hospital of Sichuan University, Chengdu, Sichuan, China, Chengdu, China |
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Keywords: Psychiatric Disorders, Adolescents, major depressive disorder Using a data-driven connectivity-based parcellation technique, we identified anterior and posterior functional subdivisions of insula per hemisphere in adolescent population based on their similar functional connectivity profiles. Then, we investigated the distinct functional connectivity of each insular subregion between depressive adolescents and typical developmental controls. The significant unbalanced connectivity of insular subregions with left superior frontal gyrus (SFG) between two groups was revealed, which associated with interpersonal relation, emotional expressiveness, and cognition impairments in depressive adolescents. Our findings indicate that abnormalities in functional architectures of insular subdivisions may be the potential neuroimaging mechanism underlie the specific manifestations in adolescent depression. |
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Distinct subcortical and cortical functional gradient dysfunction in schizophrenia and the treatment effects after antipsychotics |
| Chengmin Yang1, Wenjing Zhang1, Jiajun Liu2, Zhipeng Yang2, and Su Lui1 | ||
1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China., Chengdu, China, 2College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, P.R. China., Chengdu, China |
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Keywords: Psychiatric Disorders, Gradients By characterizing the connectome gradient changes of subcortex and cortex in drug-naive first-episode schizophrenia and the treatment effect after antipsychotics, we found that the distinct fundamental functional segregation of subcortex and functional integration in cortex in patients at baseline when compared to healthy controls, and the longitudinal analyses indicated that the treatment would normalize the altered gradients. The improved subcortical gradient changes were associated with significant improvement of symptoms. This study provided the new perspective on the abnormal subcortical and cortical hierarchy organization in schizophrenia and its longitudinal subcortical gradient changes could be sensitive to reflect the antipsychotic treatment effect. |
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Topological Disruption of High-Order Functional Networks in Cognitively Preserved Parkinson’s Disease |
| Song'an Shang1, Weiqiang Dou2, and Ye Jing1 | ||
1Clinical Medical College, Yangzhou University, Yangzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Brain Connectivity, Parkinson's Disease Parkinson’s disease (PD) is not solely a disruption of motor-related networks but a consequence of impaired high-level cognitive processes, indicating that high-order information exchange in cognitively preserved patients with PD could be sensitively revealed in the high-order-functional connection (HOFC) networks. We thus attempted to characterize the topological alterations and classification performance of HOFC networks in normally cognitive patients with PD. Our findings identified the disrupted topology of functional interactions at high-level with extensive alterations of topological properties and improved differentiating ability in patients with PD prior to clinical symptoms of cognitive impairment, providing complementary insights into complex neurodegeneration in PD. |
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Functional connectivity changes of brainstem nuclei in prodromal Parkinson’s disease: A 7 Tesla resting-state study |
| Kavita Singh1, Maria Guadalupe Garcia Gomar1,2, Ambra Stefani3, Aleks Videnovic3, and Marta Bianciardi1,4 | ||
1Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 2Escuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de México, Querétaro, Mexico, 3Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 4Division of Sleep Medicine, Harvard University,, Boston, MA, United States |
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Keywords: Parkinson's Disease, fMRI (resting state), 7 Tesla MRI, REM sleep behavior disorder, prodromal PD, alpha synucleopathies, brainstem Based on animal and human lesion studies, isolated rapid-eye-movement (REM) sleep behavior disorder (iRBD) is due to changes in arousal/motor brainstem nuclei structure and function and is recognized as the hallmark of Parkinson disease (PD). Resting-state fMRI studies in iRBD in humans mostly studied changes in nigrostriatal/nigrocortical connectivity pathway but failed to assess the brainstem circuits involved. To fill this gap, we investigated the functional connectivity of 20 brainstem nuclei relevant for iRBD using high-sensitivity and high spatial-resolution 7 Tesla resting-state fMRI, as well as a recently developed in-vivo probabilistic atlas of brainstem nuclei. |
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Dynamic co-fluctuation patterns of fMRI brain activity in temporal lobe epilepsy |
| Lucas E Sainburg1, Baxter P Rogers2, Catie Chang3, Dario J Englot4, and Victoria L Morgan2 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 4Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Brain Connectivity, Epilepsy Temporal lobe epilepsy (TLE) presents with transient epileptic activity at rest, typically originating from the hippocampus. Here we measure dynamic functional connectivity (FC) at single functional MRI timepoints with edge timeseries to detect recurring hippocampal co-fluctuation patterns and their alterations in TLE. Three anterior hippocampus co-fluctuation patterns were detected in healthy controls. One pattern was altered in TLE, while another pattern was more frequent in TLE than controls. These changes reflect alterations in dynamic spatial patterns of FC from the epileptic focus in TLE. |
| 0236 | Pitch: 13:45 Poster: 13:45 Screen 38
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Longitudinal Changes of Functional Connectivity Dynamism Are Relevant for Disability Worsening in Multiple Sclerosis: A 2.5-Year Study |
| Paola Valsasina1, Giulia d'Amore1,2, Paolo Preziosa1,2,3, Monica Margoni1,2, Massimo Filippi1,2,3,4,5, and Maria Assunta Rocca1,2,3 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Vita-Salute San Raffaele University, Milan, Italy, 4Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 5Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Keywords: Brain Connectivity, Multiple Sclerosis Here, we investigated changes in time-varying functional connectivity over 2.5 years of follow-up in 129 multiple sclerosis patients and their association with disability progression. At follow-up, 25/129 (19.3%) patients worsened clinically. At baseline, multiple sclerosis patients showed reduced time-varying functional connectivity vs controls in orbitofrontal, cerebellar, precuneal and thalamic regions. At 2.5-year follow-up, patients exhibited widespread reduction of time-varying functional connectivity over time. Such a pattern was confirmed when looking at clinically stable patients. Conversely, clinically worsened patients presented peculiar reductions of time-varying functional connectivity in default-mode network areas and in basal ganglia, this latter significant at time-by-group interaction analysis. |
| 0237 | Pitch: 13:45 Poster: 13:45 Screen 39
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Disrupted vein-dominated connectivity and increased CSF involvement in ischemic stroke human brain |
| Jianyu Yuan1, Chaogang Tang2, Lei Zhang2, and Yi He1 | ||
1Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China, 2Department of Cerebrovascular Disease, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China |
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Keywords: Brain Connectivity, fMRI (resting state) High-resolution resting-state (rs) fMRI enables the functional mapping of vein-dominated connectivity, correlated with neuronal calcium signals. Here, we performed high-resolution rs-fMRI to examine 30 ischemic stroke patients with binocular isotropic hemianopia and 10 healthy controls. The results of seed-based and independent component analysis (ICA) demonstrated the reduced vein-dominated correlation patterns. Interestingly, ICA also found increased correlations between cerebrospinal fluid (CSF) and ischemic lesions in stroke patients, showing ultra-slow oscillation frequencies up to 0.04 Hz. Our findings suggest that ischemic lesions are associated with CSF, prompting disruption of vein-dominated connectivity. |
| 0238 | Pitch: 13:45 Poster: 13:45 Screen 40
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A comparison of multi-echo and single-echo fMRI resting state mapping in neurosurgical patients |
| Ahmed Radwan1, Louise Emsell1, Ronald Peeters2, Tom Theys3, Patrick Dupont4, and Stefan Sunaert1 | ||
1Department of Imaging and pathology, Translational MRI, KU Leuven, Leuven, Belgium, 2Department of Radiology, University Hospitals Leuven, Leuven, Belgium, 3Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium, 4Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium |
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Keywords: Brain Connectivity, fMRI (resting state), multi-echo fMRI, Neurosurgery We compared multi-echo (mTE) resting-state (rs) fMRI to single-echo (sTE) fMRI for seed-based mapping of seven canonical resting state networks (RSN) in 69 pre-surgical patients. Acquisition parameters were identical except for TE and statistical analyses were constrained by group-specific RSN masks. mTE-rsfMRI showed significantly higher functional-connectivity (fc) for all RSNs, while sTE showed comparatively fewer RSNs with areas of significantly higher fc (PFWE<0.05). Our results suggest that mTE-rsfMRI may be more sensitive than sTE-rsfMRI for mapping of the sensory-motor, default mode, salience, frontoparietal, dorsal attention, language and visual networks in a neurosurgical setting. |
16:00
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With PET/MRI & with PET Tracers | |
| Bruno Stankoff1 | ||
1Sorbonne University, Paris, France, Paris, France |
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Keywords: Cross-organ: Inflammation, Neuro: Neurodegeneration, Contrast mechanisms: Molecular imaging Whereas the iron component sometimes associated with inflammation is accessible to MRI, the molecular specificity of PET is required to quantify neuroinflammation linked to innate immune cells. Tracers targeting TSPO are becoming largely available, with second generation tracers allowing an optimized sensitivity and specificity. Developing a TSPO PET imaging protocol implies the selection of an appropriate tracer, and the application of a robust and reproducible quantification model for data analysis. Following these requisites, promising results have been recently obtained in multiple sclerosis unravelling that an unexpectedly high proportion of lesions have a persistent neuroinflammatory content that drives progression. |
16:30
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Image Inflammation in the Brain With Spectroscopy Tools (Proton & X-Nuclei) | |
| Yao Li 1 | ||
1Shanghai Jiao Tong University, Shanghai, China |
17:00
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Novel Preclinical Directions: Fluorine MRI | |
| Sonia Waiczies1 | ||
1Berlin Ultrahigh Field Facility, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany |
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Keywords: Cross-organ: Inflammation, Physics & Engineering: Preclinical MRI, Contrast mechanisms: Molecular Imaging Inflammation is a key constituent of most neurological conditions including multiple sclerosis. Concerns related to gadolinium-based contrasts agents is limiting their use to monitor inflammation in patients. Preclinical efforts to quantify inflammation includes the development of fluorine-containing materials that can be detected with high specificity with fluorine (19F) MRI. This talk will go into the basics of 19F MRI, its strengths and weaknesses, as well as the approaches that strive to overcome those weaknesses. The idea of quantifying inflammation and anti-inflammatory treatment simultaneously will be introduced. Novel 19F reporter molecules and methods that improve 19F signal detection will be discussed. |
17:30
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Novel Preclinical Directions: Nanoparticles/CEST | |
| Aline Thomas1 | ||
1Johns Hopkins, Baltimore, United States |
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Keywords: Neuro: Neurodegeneration, Contrast mechanisms: Molecular imaging, : Preclinical/Animal Proton MRI has long been plagued by a lack of sensitivity to molecular events which historically restricted its use to monitoring gross anatomical changes. The development of and advancement in magnetization transfer-based contrast mechanisms and nanoparticle technology has dramatically expanded our ability to evaluate and monitor neuroinflammation using proton MRI at the molecular level. Many biomarkers in the former category, e.g. GluCEST, have already been translated to humans and are now being applied to a wide range of (neuro)inflammatory diseases. In contrast, most proton MRI agents that target specific molecules have just begun testing in the preclinical stages. |
16:00
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Molecular Mechanisms of MRI Contrast | |
| Eric Gale1 | ||
1Martinos Center, Charlestown, United States |
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Keywords: Contrast mechanisms: Relaxometry This talk will discuss the molecular mechanisms that underpin paramagnetic nuclear magnetic relaxation, and how these principles can be applied to more potent MRI contrast agents and biochemically specific probes for molecular MR imaging. An understanding of T1 and T2 relaxation, and how these properties relate to MRI contrast, is assumed. |
16:30
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Techniques - commonly used pulse sequence for contrast enhanced MRI | |
| Yae Won Park1 | ||
1Yonsei University College of Medicine, Korea, Republic of |
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Keywords: Neuro: Brain, Contrast mechanisms: Perfusion, Education Committee: Clinical MRI Commonly used pulse sequences for contrast-enhanced MRI in brain tumors will be discussed in this lecture. Knowledge of underlying mechanism of contrast-enhanced MRI enhance our ability in diagnosis of brain tumors. |
17:00
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Applications - what contrast agent to use and when | |
| Masahiro Tanabe1 | ||
1Radiology, Yamaguchi University Graduate School of Medicine, Ube, Japan |
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Keywords: Contrast mechanisms: Contrast agents, Body: Liver The major classes of contrast agents currently used for magnetic resonance (MR) imaging of the liver include extracellular agents, hepatobiliary agents, and reticuloendothelial agents. This course will identify common clinical applications of contrast-enhanced imaging of the liver and what contrast agent is commonly used and when. We discuss properties of contrast agents, as well as their advantages and disadvantages, and present the recent research advances for improving this promising imaging method. Knowledge of these specific mechanisms, and typical and atypical enhancement pattern is important not only for accurate imaging-based diagnoses but also for understanding the pathogenesis of hepatic mass lesions. |
17:30
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Contrast agents of the future | |
| Célia Bonnet1 | ||
1Centre de Biophysique Moléculaire – CNRS, Orléans, France |
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Keywords: Contrast mechanisms: Contrast agents, Contrast mechanisms: Molecular imaging, Contrast mechanisms: Relaxometry This educational session will focus on the use of small metal complexes as MRI contrast agents, and more particularly on responsive contrast agents. T1, as well as ParaCEST, Parashift and non-proton (19F) contrast agents will be presented. Among all the physiological parameters that can be detected using such complexes, a particular emphasis will be put on enzymatically-activated, and zinc responsive contrast agents. Indeed, these two biomarkers are misregulated during pathological processes such as cancers, or neurodegenerative diseases for example. Monitoring their changes should allow, in principle, early diagnosis as they appear prior to the morphological changes they trigger. |
16:00
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Open Science: Insights from the ISMRM | |
| Derek Jones | ||
| Cardiff University | ||
16:15
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Open Science Initiative for Perfusion Imaging (OSIPI) | |
| Yuriko Suzuki | ||
| University of Oxford | ||
16:25
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Renal MRI Initiatives Committed to Open Science: renalmri.org & RESPECT | |
| Frank Zöllner | ||
| University of Heidelberg, Mannheim, Germany | ||
16:35
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MRSHub: Community Resources for Reproducible MRS Research | |
| Georg Oeltzschner | ||
| Johns Hopkins University | ||
16:45
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Sharing Integrated Research, Not Just the Manuscript (MRHub/MRPub) | |
| Agâh Karakuzu | ||
| Polytechnique Montreal | ||
16:55
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Open-Source Imaging (OSI2) | |
| João Periquito | ||
| University of Sheffield | ||
17:05
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7. Perspective from MRM highlights | |
| Maria Caligiuri | ||
| University Magna Graecia Neuroscience Research Center, Italy | ||
17:15
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Panel Discussion |
| 0239
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16:00
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The Influence of Variability and Uncertainty in the Clinical Reference on MRI Radiomics Modelling and Performance |
| Cindy Xue1,2, Winnie CW Chu2, Jing Yuan1, Yihang Zhou1, Raymond WH Yung1, and Lo G Gladys3 | ||
1Research Department, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong, 2Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3Department of Diagnostics and Interventional Radiology, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong |
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Keywords: Radiomics, Machine Learning/Artificial Intelligence, Data Modelling Radiomics uses quantitative analysis of medical imaging based on machine learning techniques and has shown its potentials of aiding personalized clinical decisions. A high standard of clinical reference (or ground truth, endpoint) is vital in radiomics feature selection and modeling, but is commonly overlooked, and assumed to be perfect. However, in reality, there are uncertainties and variability in these clinical references due to many factors. We aim to quantitatively assess the influence of clinical reference uncertainty and variability on MRI Radiomics modeling via endpoint annotation permutation with different levels. |
| 0240 | 16:08
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Prediction of immune status and overall survival of glioblastoma based on immune-related lncRNA signature and radiomics signature |
| Jixin Luan1, Chuanchen Zhang2, Di Zhang2, and Guolin Ma1 | ||
1China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China, 2Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Liaocheng, China |
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Keywords: Radiomics, Brain, GBM In this study, we aimed to investigate the correlation between immune-related lncRNA signature and radiomics signature and immune cell infiltration and immune checkpoint blockade in glioblastoma multiform (GBM), and to develop a prognostic model to predict the overall survival of patients. We found that immune-related lncRNA signature and radiomics signature can better predict the immune status and overall survival of GBM patients, which can help clinical prognosis determination and immunotherapy selection. |
| 0241 | 16:16
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Multicenter reproducibility of hand-crafted radiomics and deep-learning based features for biparametric prostate MRI |
| Harri Merisaari1, Janne Verho2, Ileana Montoya Perez2,3, Otto Ettala4, Kari T Syvänen4, Pekka Taimen5, Aida Steiner2, Jani Saunavaara6, Ekaterina Saukko2, Peter Boström4, Hannu Aronen1, and Ivan Jambor1,2 | ||
1Department of Radiology, University of Turku, Raisio, Finland, 2Department of Radiology, Turku University Hospital, Turku, Finland, 3Department of Computing, University of Turku, Turku, Finland, 4Department of Urology, TYKS Turku University Hospital and University of Turku, Turku, Finland, 5Department of Pathology, TYKS Turku University Hospital, Turku, Finland, 6Department of Medical Physics, TYKS Turku University Hospital, Turku, Finland |
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Keywords: Radiomics, Cancer, Inter-site reproducibility, Deep Learning, bi-parametric MRI In the current study, we aimed to explore reproducibility of various hand-crafted radiomics features, and deep learning autoencoder-based features within Gleason Grade Groups (GGG) using MULTI-IMPROD trial data. Differences between sites were evaluated with ANOVA test, corrected for GGG group, and multi-class AUC for GGG. We explored if systematic differences exist between the four centers taking part in the trial with conventionally used radiomic features. The results show differences between modalities, feature groups, and when intensity harmonization is applied for ADC. |
| 0242 | 16:24
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Automatic Rectal Tumor Segmentation and Extramural Venous Invasion Diagnosis based on Deep Learning and Radiomics Model |
| Jiyao Liu1, Rencheng Zheng1, Chengyan Wang2, Yigang Pei3, Yinghua Chu4, and He Wang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Xiangya Hospital Central South University, Changsha, Hunan, China, 4Siemens Healthineers, Shanghai, China |
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Keywords: Machine Learning/Artificial Intelligence, Segmentation This study developed an automatic diagnosis model for rectal cancer, which consists following steps: high-precision rectal tumor segmentation by Spatial Hybrid Network (SH-Net) and Adaboost Decision Tree based radiomics model to improve the diagnostic performance of extramural venous invasion (EMVI). The comparable diagnostic performance of the proposed model compared to the visual assessment by radiologists suggests the potential to help doctors with clinical diagnosis of EMVI.
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| 0243 | 16:32
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Impact of Radiomic Features Stability of Myocardial Motion on Classification of Repaired Tetralogy of Fallot Patients |
| Pao-Han Chiu1, Ming-Ting Wu2, Ken-Pen Weng3,4, Nai-Yu Pan5, Teng-Yi Huang5, and Hsu-Hsia Peng1 | ||
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, 3Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, 4Department of Pediatrics, National Yang Ming Chiao Tung University, Taipei, Taiwan, 5Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan |
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Keywords: Radiomics, Radiomics Myocardial motion influences the stability of radiomic features of cardiac magnetic resonance (CMR) cine images. We aimed to evaluate the impact of the stability of myocardial radiomic features on the classification performance of differentiation of repaired tetralogy of Fallot (rTOF) patients from normal volunteers. The stability of each radiomic feature during cardiac cycle was assessed by coefficient of variation (CV) of the feature value. 50 of 107 radiomic features (46.7%) in normal volunteers were stable features. The classification model established only with stable features presented the best classification performance (AUC=0.94) which was able to be improved by chi-square feature selection. |
| 0244
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16:40
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Novel LGE Myocardial Scar Burden Signatures: A Novel Concept for Comprehensive Scar Quantification in Myocardial Infarction |
| Mehri Mehrnia1 and Mohammed S.M. Elbaz1 | ||
1Northwestern University, Chicago, IL, United States |
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Keywords: Radiomics, Cardiomyopathy, heart, cardiovascular, LGE, scar, Myocardial Infarction There remains no standard method for quantification of myocardial infarction (MI) from LGE images. Current methods lack reproducibility as they rely on manual or threshold-based scar segmentation. Notably, these methods only quantify scar volume/percentage but ignore the impact of myocardial LGE distribution pattern. Here, we propose a novel threshold-free concept that comprehensively quantifies scar burden in terms of both scar extent and the unique myocardial LGE distribution pattern: LGE Scar Burden Signatures. We demonstrated our technique’s strong correlation to scar extent, its independent association with serum biomarker of myocardial injury (Troponin), and reduced ejection fraction, independent of Scar percentage. |
| 0245 | 16:48
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Multiparametric MRI radiomic model for diagnosing focal cortical dysplasia and laterality |
| Shiqi Chen1, Yawen Xiao1, Zhaotao Zhang1, Jiankun Dai2, Yifei Gui1, and Xinlan Xiao1 | ||
1Department of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Radiomics, Epilepsy Focal cortical dysplasia (FCD) is the most common epileptogenic developmental malformation which remains challenging to diagnose. This study aimed to investigate the possibility of diagnosing FCD and laterality in epilepsy patients using the multiparametric MRI radiomics model. Radiomic features were extracted from the preoperative MRI images of 86 patients. Multivariable logistic regression was used to develop the diagnosis model. The performance of radiomic model was evaluated with general evaluation metrics and was compared with that of inexperienced radiologists.We concluded that radiomics features derived from the combined of T1WI, T2WI and FLAIR might help diagnosing FCD and laterality. |
| 0246 | 16:56
|
MRI-based deep learning radiomics can predict HER2 expression and disease-free survival in breast cancer |
| Wenjie Tang1, Yuan Guo1, Siyi Chen1, Bingsheng Huang2, Xiaotong Xie2, Mingyu Wang2, Yongzhou Xu3, Kuiming Jiang4, and Xinhua Wei1 | ||
1Guangzhou First People's Hospital, Guangzhou, China, 2Shenzhen University, Shenzhen, China, 3Philips Healthcare, Guangzhou, China, 4Guangdong Women and Children Hospital, Guangzhou, China |
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Keywords: Radiomics, Breast, HER2 expressing; MRI; Deep learning; Prognosis To the best of our knowledge, our study is the first to non-invasively assess human epidermal growth factor receptor 2 (HER2) status, especially HER2-low-positive status in breast cancer. In this study, a deep learning radiomics (DLR) model based on contrast-enhanced MRI was constructed and showed high and stable performance in predicting HER2 status in both the training and validation cohorts, and the predicted status was an independently significant predictor of disease-free survival (DFS) in HER2-low-positive/HER2-zero breast cancers. The DLR model showed prospects as a computer-aided diagnostic tool to help more accurately identify HER2-low-positive breast cancers, thereby guiding patient treatment strategies. |
| 0247
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17:04
|
Quantifying geometrical properties of the Brain Surface in Alzheimer's Disease using 3D Tortuosity |
| Maria Julieta Mateos1, James J. Lah2, and Qiu Deqiang1 | ||
1Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 2Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States |
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Keywords: Radiomics, Alzheimer's Disease Alzheimer's disease causes significant gray matter loss, which leads to changes in the brain surface's shape. In this work, we used the local gyrification index (LGI) and the three-dimensional tortuosity (𝜏3𝐷) to characterize the cortical morphology, and to determine if the obtained values were significantly different amog the Alzheimer's diagnosis. The subset of MRI studies was obtained from ADNI database. For the data analyzed, the results show that the 𝜏3𝐷 has a positive correlation with brain volume and can potentially be a biomarker for AD. |
| 0248 | 17:12
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Associations of Brain Iron with Cognitive and Social Emotional Performance in Children using Quantitative Susceptibility Mapping |
| Gaiying Li1, Qifan Pang1, Mengying Chen1, Yang Song2, Qing Cai3, Kai Zhang3, Longnian Lin3, Yi Wang4, and Jianqi Li1,3 | ||
1School of Physics and Electronic Science, East China Normal University, Shanghai, China, 2MR Scientific Marketing, Siemens, Siemens Healthineers, Shanghai, China, 3Institute of Brain and Education Innovation, East China Normal University, Shanghai, China, 4Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States |
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Keywords: Data Analysis, Quantitative Susceptibility mapping Tissue iron play a critical role in cognitive functions. However, associations of basal ganglia iron concentration with cognition and emotion in children are less well understood. This study examined the correlation of susceptibility values in the bilateral basal ganglia nuclei with cognitive functions and social emotional capacity in children around the age of seven. The results highlighted that the inhibitory control, collaboration, open-mindedness showed significant association with susceptibility values in the basal ganglia. In conclusion, this QSM study indicated the potential for using brain iron content in the basal ganglia to assess cognitive and emotional performance during the children development. |
| 0249 | 17:20
|
AI-enhanced comprehensive quiet neuroimaging |
| Ana Beatriz Solana1,2, Sagar Mandava3, Xinzeng Wang4, Marc Lebel5, David J Lythgoe2, Tobias C Wood2, Matthew Bowdler2, Steven CR Williams2, and Florian Wiesinger1,2 | ||
1GE Healthcare, Munich, Germany, 2King's College London, London, United Kingdom, 3GE Healthcare, Marietta, GA, United States, 4GE Healthcare, Houston, TX, United States, 5GE Healthcare, Calgary, AB, Canada |
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Keywords: Pulse Sequence Design, MR Value, Neuro, quiet, multicontrast, fMRI, QSM Most of today’s MRI scans are very loud and can be challenging for patients of all ages, e.g. sleeping babies, anxious children or elderly with tinnitus. Existing quiet and/or acoustic noise reduced MRI scanning solutions are in their infancy, primarily because of their incomplete nature and associated trade-offs in terms of image quality and/or scan time. Here, we present a comprehensive quiet neuroimaging solution, including standard anatomical scans (localizer, T1w-MPRAGE, T2w-FSE, T2w-FLAIR, MRA, Diffusion), quantitative parameter mapping (ADC, T2*, QSM, PD, T1, T2) and functional BOLD-fMRI. Scan time and overall image quality was improved using DL-based image reconstruction framework. |
| 0250 | 17:28
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The Brainstem Navigator: a toolkit to investigate brainstem nuclei structure, function, and connectivity in living humans |
| Marta Bianciardi1,2, Simone Cauzzo1,3, Nicola Toschi1,4, Subhranil Koley1, Maria Guadalupe García-Gomar1,5, and Kavita Singh1 | ||
1Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 2Division of Sleep Medicine, Harvard University, Boston, MA, United States, 3Research Center “E. Piaggio”, School of Engineering, University of Pisa, Pisa, Italy, 4Medical Physics Section, Department of Biomedicine and Prevention, Faculty of Medicine, Tor Vergata University of Rome, Rome, Italy, 5Escuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de México, Queretaro, Mexico |
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Keywords: Software Tools, Brain, Brainstem atlas, segmentation, functional and structural connectome, 7 Tesla MRI, 3 Tesla MRI Brainstem nuclei are deep gray matter regions involved in vital functions such as arousal/sleep/motor/sensory/autonomic/nociceptive/limbic/sensory function. Due to their small size and limited MRI contrast, these nuclei are difficult to visualize in conventional imaging of living humans. We generated and released the Brainstem Navigator toolkit, which enables the automatic identification of brainstem nuclei location in conventional and advanced MRI of living humans. It includes in-vivo probabilistic atlas labels for 31 brainstem nuclei generated by multi-contrast 7 Tesla MRI. We also developed coregistration routines optimized for the brainstem in 3 Tesla and 7 Tesla MRI data in health and disease. |
| 0251 | 17:36
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Association between Post-traumatic Osteoarthritis 10+ Years after ACLR and Quantitative MRI of Knee Cartilage, Menisci, and Thigh Muscles |
| William Zaylor1,2, Sameed Khan1,2,3, Richard Lartey1,2, Brendan L. Eck2,3, Mei Li1,2, Sibaji Gaj1,2, Jeehun Kim1,2, Carl S. Winalski1,2,3, Faysal Altahawi2,3, Morgan H. Jones4, Laura J. Huston5, Kevin D. Harkins6, Michael V. Knopp7, Christopher C. Kaeding8, Kurt P. Spindler2,9, and Xiaojuan Li1,2,3 | ||
1Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States, 2Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, 3Department of Diagnostic Radiology, Cleveland Clinic Imaging Institute, Cleveland, OH, United States, 4Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, MA, United States, 5Department of Orthopaedics and Rehabilitation, Vanderbilt University, Nashville, TN, United States, 6Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 7Department of Radiology, The Ohio State University Wright Center of Innovation in Biomedical Imaging, Columbus, OH, United States, 8Department of Orthopaedic Surgery, The Ohio State University, Columbus, OH, United States, 9Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Radiomics, Relaxometry The purpose of this study was to evaluate the associations between radiomic features in knee and thigh quantitative MRI with symptomatic and radiographic post-traumatic osteoarthritis (PTOA) after anterior cruciate ligament reconstruction (ACLR). Radiomic features of knee cartilage, menisci (extracted from T1ρ maps), and thigh muscles (extracted from anatomic images and fat fraction maps) were extracted from patient MRI 10+ years after ACLR, and features were selected for symptomatic or radiographic PTOA associations. Symptomatic and radiographic PTOA were associated with features from the medial cartilage compartments, and menisci; features from the thigh muscles were associated with symptomatic PTOA only. |
| 0252 | 17:44
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Ultrafast multi-parametric quantitative MRI using Multi-TR echo-planar time-resolved imaging (Multi-TR-EPTI) |
| Haoran Bai1, Yueqi Qiu1, Ke Dai1, Hao Chen1, and Zhiyong Zhang1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Data Acquisition, Data Acquisition Echo planar time-resolved imaging (EPTI) is a recently developed multi-shot EPI method that provides time-resolved multi-echo images and providing multi-contrast images. Based on this basis, here we present Multi-TR-EPTI, a technique developed to achieve distortion-free and Multi-parametric quantitative MRI including T1, T2, T2*, and PD mapping. Multi-TR-EPTI exploits an optimized spatiotemporal CAIPI encoding in the k-TE-TR space.which can recover the k-TE-TR space within the same shot number as the original EPTI. A subspace reconstruction was employed to obtain hundreds of high-quality multi-contrast images at sub-millisecond temporal increments. Multi-TR-EPTI adopts different TRs to provide T1 contrast while improving scan efficiency. |
| 0253 | 17:52
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Alternating Look-Locker for 3D quantitative longitudinal and rotating frame relaxation mapping |
| Lin WU1, Chris Carchi2, Shalom Michaeli1, Silvia Mangia1, and Djaudat Idiyatullin1 | ||
1CMRR and Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2University of Minnesota, Minneapolis, MN, United States |
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Keywords: High-Field MRI, Relaxometry, T1ρ A new method entitled alternating Look-Locker (aLL) for mapping of T1 and T1ρ is proposed. Magnetization preparation modules incorporating adiabatic full passage pulses were imbedded in a Look-Locker scheme that additionally alternates magnetization from +Z and -Z axes. MB-SWIFT was used as a readout. Analytical derivations and relevant simulations are presented. Phantom experiments and in vivo studies in the rat brain were conducted at 9.4 T. Results show that aLL allows more robust and faster acquisitions as compared to previously introduced steady–state technique, providing the possibility of simultaneous collection of T1 and T1ρ maps in one acquisition. |
| 0254
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16:00
|
Comparison of radio-pathomic maps of tumor probability to 5-ALA guided surgical resection cavities in glioblastoma patients |
| Samuel A Bobholz1, Allison K Lowman1, Savannah R Duenweg2, Aleksandra Winiarz2, Margaret Stebbins2, Fitzgerald Kyereme1, Jennifer Connelly3, Dylan Coss4, Wade M Mueller5, Mohit Agarwal1, Anjishnu Banerjee6, Max Krucoff5, and Peter S LaViolette1,7 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 5Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 6Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 7Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Tumors, Brain This study sought to compare previously published autopsy-based radio-pathomic maps of pre-surgical cellularity and tumor probability to beyond-contrast 5-ALA guided resection margins to assess concordance in identifying non-enhancing tumor between the techniques. In a series of 10 cases, radio-pathomic maps were able to identify areas of non-enhancing tumor prior to surgery that coincided with either 5-ALA guided resection margins or areas of future recurrence in 7 of 10 cases, suggesting that highlighted areas on these maps indicate active, progressive tumor. |
| 0255 | 16:08
|
Preoperative Prediction of Brain Invasion in Meningiomas: A Radiomics Model based on Multimodal MRI and Quantitative Clinical Factors |
| Jinli Li1, Xianchang Zhang2, Ruijun Yang1, Quanzhi Feng1, Dong Yuan1, Jiajia Zhang1, and Tong Han1 | ||
1Tianjin Huanhu Hospital, No.6 Jizhao Road, Jinnan District, Tianjin 300350, China., Tianjin, China, 2MR Collaboration, Siemens Healthineers Ltd., Beijing, China., Beijing, China |
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Keywords: Tumors, Radiomics, brain invasion This study aimed to construct a radiomic model based on a large patient cohort to predict brain invasion (BI) in meningioma. By analyzing 97 patients with BI and 935 patients without BI, we found that the clinical risk factors for BI were male sex, tumor located at the skull base, and peritumoral edema volume. A binary logistic regression model combining these risk factors and multimodal MRI radiological characteristics was established. The constructed model achieved an excellent performance (AUC: 0.928) in terms of BI classification with an accuracy of 91.77%, which may be helpful for personalized treatment plan in meningioma. |
| 0256 | 16:16
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The Comparison of Diffusion Weighted Imaging and Advanced Diffusion Techniques in Predicting Postoperative Recurrence of Meningioma |
| Hui Zheng1, Lingmin Zheng1, Zongmeng Wang1, Rufei Zhang1, Yang Song2, and Lin Lin1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China, 2MR Scientific Marketing, Siemens, Healthineers Ltd., Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Prior investigators have found that diffusion weighted imaging (DWI) contributes to improving the prediction of postoperative recurrence of meningioma. This study evaluated the feasibility of intravoxel incoherent motion (IVIM) and diffusional kurtosis imaging (DKI) in predicting postoperative recurrence of meningioma and compared them with DWI. Histogram metrics derived from DWI, IVIM, and DKI parameters were compared between the recurrent group and non-recurrent group. It was found that the lower ADC, D, f value and the higher D*, K value, the higher risk of postoperative recurrence of meningioma. However, IVIM and DKI derived parameters had similar diagnostic performance compared with DWI. |
| 0257 | 16:24
|
Early detection of brain tumor response during local hydrogel based treatment using CEST MRI |
| Se Weon Park1,2, Joseph H.C Lai1, Xiongqi Han3, Jianpan Huang1, Vivian W.M Leung1, Peng Xiao1, and Kannie W.Y Chan1,2,4,5 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong, 3SiBionics, Shenzhen, China, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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Keywords: Tumors, Treatment CEST MRI is a non-invasive molecular imaging approach, while APT has been applied to reveal molecular changes in brain tumors. Based on our theranostic hydrogel studies, here, we demonstrated the therapeutic effect on brain tumor with a continuous decrease in tumor size over 10 days. Importantly, the APT signal showed significant decrease on day 3 after treatment when tumor size did not have a significant change. Moreover, a strong correlation between APT signal and Ki-67 staining was shown. This could be a potential application to detect early tumor responses toward local hydrogel based treatment. |
| 0258 | 16:32
|
Differentiation of subtypes and genotypes in adult-type diffuse gliomas by APT imaging |
| Tongling Jiang1, Minghao Wu2, Cong Xie2, Xianchang Zhang3, Yaou Liu2, and Yi Zhang1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 3MR Collaboration, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Tumors, Brain APT-related metric maps were applied to differentiate subtypes and genotypes of adult-type diffuse gliomas following the latest 2021 WHO guidelines. One hundred and twenty-nine patients were imaged on a 3T scanner. Regions of interest were obtained with an automatic segmentation algorithm on conventional anatomical images, which were then resampled and matched with the CEST images. The mean CEST metric values were calculated in the automatically-defined regions of interest, and the receiver operating characteristic analysis was implemented, achieving generally successful performance in identifying the IDH status and part of the subtypes. |
| 0259 | 16:40
|
Deuterium metabolic imaging distinguishes metabolic subtypes and detects early treatment response to current standard of care in glioblastoma |
| Jacob Chen Ming Low1, Jianbo Cao1, Friederike Hesse1, Alan Wright1, and Kevin Brindle1 | ||
1CRUK Cambridge Institute, Cambridge, United Kingdom |
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Keywords: Tumors, Deuterium The potential for DMI measurements of deuterated glucose metabolism to differentiate between metabolic subtypes in GBM has been demonstrated in patient-derived xenografts in mice. The glycolytic subtype showed increased lactate labelling whereas two oxidative subtypes showed increased glutamate/glutamine (Glx) labelling. There was decreased lactate labelling in a glycolytic subtype and decreased lactate and Glx labelling in an oxidative subtype within 24 h after the completion of standard-of-care chemoradiotherapy, demonstrating that the technique can also be used to detect early treatment response in this tumor type. |
| 0260 | 16:48
|
An application of diffusion tensor image analysis along perivascular space (DTI-ALPS) in grading gliomas and predicting IDH1 mutation status |
| Hongquan Zhu1, Yuanhao Li1, Li Li1, Weiyin Vivian Liu2, and WenZhen Zhu1 | ||
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Tumors, Brain, Glioma Glioma could impair the glymphatic function with reduced CSF outflow. We aimed to use DTI-ALPS method to investigate the pathological change of glymphatic function in gliomas and evaluate its value in grading gliomas and predicting IDH1 mutation status. The lower-grade gliomas (LrGGs) showed higher ALPS Index than glioblastomas (GBMs). IDH1 wild-type group showed decreased ALPS Index compared with the IDH1 mutant group in LrGGs. But there was no difference between the IDH1 subtypes in GBMs. The ALPS Index showed good efficiency in grading gliomas and predicting IDH1 mutation status, it may be a potential imaging biomarker for diagnosing gliomas. |
| 0261 | 16:56
|
Fixel-based and tensor analysis of tractography-reconstructed anterior optic pathway in patients with sellar/parasellar tumor |
| Giovanni Sighinolfi1, Laura Ludovica Gramegna1,2, Alessandro Carrozzi1, Cristiana Fiscone1, Matteo Zoli1,2, Diego Mazzatenta1,2, Claudia Testa2,3, Raffaele Lodi1,2, Caterina Tonon1,2, and David Neil Manners1 | ||
1Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy, 2IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 3Department of Physics and Astronomy, University of Bologna, Bologna, Italy |
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Keywords: Tumors, Tractography & Fibre Modelling, Anterior Optic Pathway Tumors of the sellar/paraellar region are likely to displace the optic chiasm, making it valuable to study the entire course and microstructural properties of the anterior optic pathway (AOP, including optic nerves, chiasm and optic tracts). We present the first fully automated tractography pipeline to entirely reconstruct the AOP. The pipeline was applied on a group of patients with sellar/parasellar tumors displacing the chiasm, achieving excellent reliability. We also estimated mean diffusivity, fractional anisotropy and fiber density along the AOP, demonstrating alterations in patients compared to controls, which we explain based on chiasmal compression. |
| 0262 | 17:04
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MRE-assessed meningioma stiffness and peripheral adhesion characteristics predict the extent of resectability and recurrence probability |
| Keni Zheng1, Matthew C. Murphy 1, Emanuele Camerucci 1, Xiang Shan1, Yi Sui1, Armando Manduca 2, Jamie J. Van Gompel3, Richard L. Ehman 1, John III Huston1, and Ziying Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, 3Neurosurgery, Mayo Clinic, Rochester, MN, United States |
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Keywords: Tumors, Brain, Meningiomas, tumor stiffness, tumor adhesion, slip interface imaging, tumor recurrence, tumor resection This work explored the value of MR elastography (MRE)-measured tumor stiffness and slip interface imaging (SII)-assessed adhesion metrics in predicting the extent of tumor resection and the probability of meningioma recurrence in 52 patients with meningiomas. Tumor adhesion percentage was assessed based on pattern recognition of the normalized octahedral shear strain (NOSS) map. Tumor stiffness was calculated using a neural network-based inversion (NNI). We found that stiffness correlates with the extent of resection (EOR) that was possible at surgery, while the extent of tumor adhesion showed good correlation with tumor recurrence among aggressive tumors with atypical features. |
| 0263 | 17:12
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Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing infiltration associated with bevacizumab treatment response |
| Samuel A Bobholz1, Alisha Hoefs1, Jordyn Hamburger1, Allison K Lowman1, Savannah R Duenweg2, Aleksandra Winiarz2, Margaret Stebbins2, Fitzgerald Kyereme1, Jennifer Connelly3, Dylan Coss4, Wade M Mueller5, Mohit Agarwal1, Anjishnu Banerjee6, and Peter S LaViolette1,7 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 5Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 6Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 7Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Tumors, Tumor We tested the hypothesis that autopsy-based radio-pathomic maps of glioblastoma pathology reveal distinct phenotypes (hypercellular, hypocellular, hybrid, and well-circumscribed fronts) that differ in patient survival and bevacizumab treatment response. Patients with tumor invasion beyond contrast showed worse survival outcomes compared to patients with well-circumscribed tumors. Additionally, patients with hypocellular components of the non-enhancing front selectively benefit from bevacizumab treatment, with an observable reduction in the hypocellular volume over the course of bevacizumab use. |
| 0264 | 17:20
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Neurite orientation dispersion and density MR imaging: discriminating atypical high-grade glioma from primary central nervous system lymphoma |
| Eryuan Gao1, Guohua Zhao1, Huiting Zhang2, Peipei Wang1, Xiaoyue MA1, Jie Bai1, Xu Yan2, Guang Yang3, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance, the First Affliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Tumors, Neuro, atypical high-grade glioma, primary central nervous system lymphoma Preoperative differentiation of atypical high-grade glioma (HGG) (with no or little necrosis) and primary central nervous system lymphoma (PCNSL) may help to develop treatment plans. However, they share similar appearance in routine MR images. As a new diffusion model, neurite orientation dispersion and density imaging (NODDI) reflects the microstructure of tissue by measuring different components within it. Through quantitative analysis, we found that all parameters of NODDI performed excellent in distinguishing between atypical HGG and PCNSL. |
| 0265 | 17:28
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Exploring neuroimaging biomarkers and their correlations to neurocognitive function in adult childhood cancer survivors |
| Maria Ljungberg1,2, Oscar Jalnefjord1,2, Isabelle Rydén3, Erik Fernström4, Linnea Andersson1,2, Justin Schneiderman3, Malin Blomstrand4, Marie Kalm5, Isabella Björkman-Burtscher6, and Marianne Jarfelt4 | ||
1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 4Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 5Department of Pharmacology, Institute of Neuroscience and Physiology , Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 6Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden |
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Keywords: Tumors, Radiotherapy, DTI, MR spectroscopy Cranial radiotherapy (CRT) is effective; however, survivors of childhood cancer often suffer from cognitive deficits. Two adult patient groups that received different CRT exposures as children were included, as well as healthy volunteers. The MR-examination comprised of anatomical imaging, DTI and MR spectroscopy of the hippocampus. Differences were found between the group that received highest CRT dose and the control group in hippocampal volume, tNAA/tCr-ratio of hippocampus and several DTI-measures in e.g., corpus callosum. Correlations was found between DTI-measures (MD/RD/AD) in some of the studied white matter tracts and several of the used neuropsychological tests, e.g., BVMT-R Sum and Coding. |
| 0266 | 17:36
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Predicting IDH1 Expression using Computational Modeling of Interstitial Fluid Pressure in Glioblastoma |
| Jianan Zhou1,2,3, Wentao Hu4, Zhengyang Zhu5, Xin Zhang1,2,3, Yongming Dai4, and Bing Zhang2,3,5,6,7 | ||
1Department of Radiology，Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing,Jiangsu Province,China, China, 2Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China, 3Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, Shanghai, China, 5Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing,Jiangsu Province,China, China, 6Jiangsu Key Laboratory of Molecular Medicine, Nanjing, China, 7Institute of brain Science, Nanjing University, Nanjing, China |
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Keywords: Tumors, Contrast Agent The immunohistochemistry features of glioblastoma have important influence on its occurrence and prognosis. Understanding the noninvasive detection of interstitial fluid pressure (IFP) and velocity (IFV) based on dynamic contrast enhanced (DCE)-MRI to explore the correlation between IFP and IFV with immunohistochemical markers of glioblastoma. The investigation demonstrates that IFP indicators have significant correlation with isocitrate dehydrogenase 1 (IDH1) expression and Ki-67 level of glioblastoma, and could help diagnose IDH1-mutation patients. Keywords Glioblastoma，Interstitial Fluid Pressure and Velocity，IDH1，Ki-67 |
| 0267 | 17:44
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Identification of IDH and tumor subtype of adult-type diffuse gliomas based on WHO CNS5 using standard, high and ultra-high b value DWI |
| Xueqin Wang1, Xinru Shu2, Pingping He3, Yang Song4, and Rifeng Jiang5 | ||
1School of Medical Imaging, Fujian Medical University, Fujian, China, 2School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, China, 3School of Medical Imaging, Fujian Medical University, Fuzhou, Fujian, China, 4SIEMENS Healthcare, Diagnostic Imaging, Shanghai, China, 5Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China |
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Keywords: Tumors, Nervous system To date, few studies have investigated the association between ADC values and tumor subtypes of adult-type diffuse gliomas based on WHO CNS5. By comparing standard, high and ultra-high b value DWI, our research found that all ADC values can differentiate IDH genotypes with ADC8,000 having the highest AUC of 0.827, and mostly ADC values can differentiate the tumor subtypes of gliomas, with ADC8,000 and ADC4,000 having the highest AUC of 0.780 and 0.902, respectively. High and ultra-high b value DWI, is a potent approach in identifying IDH genotype and tumor subtype of adult-type diffuse gliomas based on WHO CNS5.
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| 0268
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17:52
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Soma and Neurite Density Imaging (SANDI) characterizes microscopic differences between two glioma mouse model subtypes |
| Andrada Ianus1, Marco Palombo2,3, Rui V. Simoes1,4, Rafael N. Henriques1, Tania Carvalho1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal, 2Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 4Institute for Research & Innovation in Health (i3S), University of Porto, Porto, Portugal |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Diffusion MRI (dMRI) provides an indirect characterisation of tissue features at the microscopic-scale. The Soma and Neurite Density Imaging (SANDI) methodology was initially proposed to quantity parameters of cell soma and neurite in brain white and gray matter. Here, we investigate the potential of employing SANDI as a general representation of isotropic, restricted, highly anisotropic and isotropic Gaussian components in two mouse models of glioma, derived from two cell lines with distinct microstructure (CT2A and GL261). The results reveal differences across the two tumour subtypes which are consistent with qualitative histological assessment. |
| 0269
|
16:00
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Acceleration of Multi-Echo MP2RAGE using Interleaved Undersampling and Joint-Contrast Reconstruction |
| Jingwen Yao1, Jing Liu1, Brian Burns2, Roland Henry3, and Peder Larson1,4 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Applied Sciences Lab, GE Healthcare, Menlo Park, CA, United States, 3Department of Neurology, University of California, San Francisco, San Francisco, CA, United States, 4UCSF/UCB Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging, MP2RAGE, multi-echo In this study, we evaluated the use of interleaved undersampling and joint-contrast reconstruction to accelerate multi-echo MP2RAGE. We compared three sampling patterns (GRAPPA, interleaved GRAPPA, and CIRCUS) and five reconstruction algorithms (GRAPPA, ESPIRIT, LORAKS, Joint-GRAPPA, and Joint-LORAKS) using retrospective undersampling experiments. The results demonstrated better performance achieved using joint-contrast compared to single-contrast reconstruction, and CIRCUS sampling compared to GRAPPA. With the combination of CIRCUS undersampling and Joint-LORAKS reconstruction, we obtained quantitative measurements of T1, R2*, QSM, and volumes at R=6.8 highly consistent with the fully sampled data, demonstrating the potential of using the proposed strategy to accelerate ME-MP2RAGE acquisition. |
| 0270 | 16:08
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High-resolution whole-brain multi-parameter mapping at 7 Tesla with interleaved fly-back 3D-EPI and universal pTX pulses |
| Rüdiger Stirnberg1, Yannik Völzke1, Daniel Löwen1, Eberhard Daniel Pracht1, Vincent Gras2, Nicolas Boulant2, Siya Sherif3, Difei Wang1, Mónica Ferreira1, Jennifer Faber1,4, and Tony Stöcker1,5 | ||
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2Commissariat à l’Energie Atomique, CNRS, NeuroSpin, Baobab, Université Paris-Saclay, Gif sur Yvette, France, 3GIGA - Cyclotron Research Centre - In Vivo Imaging, University of Liège, Liège, Belgium, 4Department of Neurology, University Hospital Bonn, Bonn, Germany, 5Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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Keywords: Quantitative Imaging, High-Field MRI, MPM, QSM, 3D-EPI We present a versatile high-resolution whole-brain multiparametric/susceptibility mapping protocol at 7T, introducing interleaved fly-back skipped-CAIPI 3D-EPI. To overcome the impeding limitations of B1+ inhomogeneity, universal pTX pulses for excitation and magnetization transfer saturation are employed. Within 17 minutes scan time, 0.6mm isotropic whole-brain MT-/PD-/T1-weighted magnitude and phase images at four echo times and corresponding quantitative parameter maps are obtained. Supplementary output, like SWI and MPRAGE-like images can be generated as well. Scan efficiency is high and geometric distortions are negligible. Optionally, the interleaved fly-back acquisition allows a separate analysis of two monopolar readout images. |
| 0271 | 16:16
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Full brain relaxometry at 7T in 3 minutes by accelerated MR-STAT using a low-SAR flip angle train |
| Edwin Versteeg1, Hongyan Liu1, Oscar van der Heide1, Miha Fuderer1, Cornelis AT van der Berg1, and Alessandro Sbrizzi1 | ||
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands |
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Keywords: Quantitative Imaging, Quantitative Imaging MR-STAT is a framework that enables the estimation of multi-parametric quantitative MR-maps from a single short scan. Quantitative imaging at 7T can be used to probe the brain’s microstructure at high resolution. We show the first results of MR-STAT at 7T and show that SAR-limitations and B1+-inhomogeneities can be successfully addressed by designing a low-SAR flip angle train and using a B1+-prior during reconstruction. In addition, we use the increased SNR at 7T to achieve two-fold acceleration of the MR-STAT acquisition and show that high quality parameters can be obtained both on a gel-phantom and in-vivo (full-brain) in 3 minutes. |
| 0272 | 16:24
|
High spatial resolution T2 mapping via multi-shot multiple overlapping-echo detachment imaging |
| Yang Qizhi1, Wenhua Geng1, Hongjian He2, Jianhui Zhong2,3, Congbo Cai1, Zhong Chen1, and Shuhui Cai1 | ||
1Xiamen University, Xiamen, China, 2Zhejiang University, Hangzhou, China, 3University of Rochester, Rochester, NY, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging, multiple overlapping-echo detachment imaging A multi-shot acquisition strategy is adapted to multiple overlapping-echo detachment imaging (MOLED), implementing T2 mapping with the spatial resolution of submillimeter. Compared with ssh-MOLED (ssh- for single-shot), msh-MOLED (msh- for multi-shot) are more resistant to B0 inhomogeneity, leading to quantitative results with less distortion. Besides, msh-MOLED fulfills a high acquisition efficiency. Accuracy of msh-MOLED was validated on phantoms with a 7T zoological scanner and a 3T whole-body scanner. Higher spatial resolution also alleviates partial volume effect and results in a better structure delineation of msh-MOLED, which was corroborated with in vivo experiments. |
| 0273 | 16:32
|
In-Vivo T2 measurements of fetal brain in 1.5T |
| Suryava Bhattacharya1, Anthony Price1,2,3, Alena Uus1,3, Helena S. Sousa1, Massimo Marenzana2,3, Kathleen Colford2,3, Peter Murkin2,3, Maggie Lee2,3, Lucilio Cordero-Grande3,4, Rui Pedro Azeredo Gomes Teixeira1,3, Shaihan J. Malik1,3, and Maria Deprez1,3 | ||
1Department of Biomedical Engineering, King's College London, London, United Kingdom, 2Guy's and St Thomas Trust, London, United Kingdom, 3Centre for the Developing Brain, King's College London, London, United Kingdom, 4Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BBN, Madrid, Spain |
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Keywords: Quantitative Imaging, Fetus Fetal brains go through rapid development, resulting in significant changes in tissue observable by MRI, during gestation. This work presents a quantitative MR imaging pipeline that aims to measure T2 relaxation in fetal brains from clinically acquired single-shot TSE sequences, reconstructed using slice to volume registration (SVR). Images with different echo times (TE) were acquired using a 1.5T MR system; we explored both a simple exponential decay model and more complex simulation-based dictionary for T2 estimation. Measured T2 values are greater than estimates from neonates and developmentally important regions such as the subplate are visible with significantly longer T2s. |
| 0274
|
16:40
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A normative cortical T1 atlas for single-subject pathology detection at 7T |
| Samuele Caneschi1,2,3, Tom Hilbert1,2,3, Gabriele Bonanno4,5,6, Robert Hoepner7, Roland Wiest5,8, Piotr Radojewski5,8, Bénédicte Maréchal1,2,3, Jean-Philippe Thiran2,3, Tobias Kober1,2,3, and Gian Franco Piredda1,9,10 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, 5Translational Imaging Center (TIC), Swiss institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 6Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 7Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland, 8Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland, 9Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland, 10CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Keywords: Quantitative Imaging, Data Processing, Brain cortex Quantitative MRI allows establishing normative atlases of relaxometry parameters which enable single-subject comparisons for anomaly detection. The large anatomical inter-subject variability of the brain cortex and its convoluted shape, however, complicate such comparison in this region. In this study, a method to align inter-subject brain cortices is proposed and a voxel-wise normative T1 atlas in the cortex is built from a cohort of 133 healthy subjects scanned at 7T. The atlas is used to detect and characterize T1 alterations in two multiple sclerosis patients on a single-subject basis. |
| 0275 | 16:48
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Investigating the effect of thrombotic thrombocytopenic purpura on neurocognitive function using relaxation and myelin water fraction maps |
| Fahad Hannan1, Michael T. Jurkiewicz2, Jonathan Thiessen1,2,3, and Susan Shih-Han Huang1,4,5 | ||
1Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Medical Imaging, University of Western University, London, ON, Canada, 3Lawson Health Research Institute, London, ON, Canada, 4Medicine, Schulich School of Medicine & Dentistry, London, ON, Canada, 5The Lilibeth Caberto Kidney Clinical Research Unit, London, ON, Canada |
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Keywords: Quantitative Imaging, Neurodegeneration, Cognitive decline, neuroinflammation, myelin water fraction Despite being in remission, patients with immune-mediated thrombotic thrombocytopenic purpura (iTTP) experience a variety of cognitive health problems. Quantitative MRI was used to verify the health of white matter in 19 patients. Patients had increased T1 in the cingulate cortex and increased T2 in the frontal, parietal, and temporal lobes. These regions correlate with decreased cognitive scores and depression tests taken by patients alongside the MRI scan. Increased T1 and T2 could suggest a variety of tissue pathologies but require further investigation to determine exactly what condition is affecting white matter health. |
| 0276 | 16:56
|
MRI profiling of temporal lobe epilepsy with hippocampal sclerosis using multi-compartment diffusion models |
| Xiaonan Zhang1, Guohua Zhao1, Huiting Zhang2, Eryuan Er Gao1, and Jingliang Cheng1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd., Wuhan, China |
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Keywords: Quantitative Imaging, Brain The hippocampal microstructural alterations by using routine magnetic resonance imaging presents a challenge. This study aimed to evaluate the performance of the NODDI and MAP models in temporal lobe epilepsy (TLE) patients with hippocampal sclerosis (HS). Our results found that all NODDI and MAP parameters had significant differences between ipsilateral HS and contralateral HS/HC, and had MAP models better diagnostic performance than NODDI. In addition, combined MAP model had significant better diagnostic performance than all the single parameters. In conclusion, MAP is superior to NODDI in diagnosing TLE with HS. |
| 0277 | 17:04
|
Multi-exponential diffusivity spectroscopy with clinical DWI protocol has the potential to diagnose and characterize gliomas |
| Junqi Xu1, Yaru Sheng2, Hao Li1, Qianfeng Wang1, Zidong Yang1, Yan Ren2, and He Wang1,3 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Radiology Department, Hua Shan Hospital, Fudan University, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China |
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Keywords: Quantitative Imaging, Brain, Diffusion, Multi-exponential spectroscopy We present a multi-exponential diffusivity spectroscopy model to measure the diffusivity distribution of individual voxels in gliomas, which enables the comparison of the spectral fraction components between brain tumors and normal tissues. A neural network algorithm was used to speed up and improve the stability of the decomposition of multi-exponential decay data with a lower signal-to-noise ratio. The results show that diffusivity fractions of some spectral components were significantly different between IDH-mutant and -wild gliomas in grades 2 and 3. |
| 0278 | 17:12
|
Dependency of Proton MR Spectroscopy Neuro-Metabolite Concentrations on Grey Matter Fraction and Location in the Healthy Human Brain |
| Ana Jorge Gonçalves1, Julian Matthews2, Hamied Haroon2, Laura M. Parkes2, Marie-Claude Asselin1, and Stephen Williams1 | ||
1Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom, 2Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom |
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Keywords: Quantitative Imaging, Spectroscopy, Brain Variations in six neuro-metabolite (N-acetylaspartate, creatine, myo-inositol, glutamate, glutamine and glycerophosphorylcholine) signals from MR spectroscopy (MRS) data across eleven brain regions were tested for regional differences and for dependence on the spectroscopic volume tissue composition (fractional grey matter (GM)), using a linear mixed-effect model. We found significant positive correlations of N-acetylaspartate, creatine and glutamate concentrations with fractional GM across all eleven regions and a significant regional effect for all six metabolites. This provides clear evidence that brain metabolite measurements are dependent on both the region and fractional GM, demonstrating the importance of knowing tissue fractions when interpreting MRS measurements. |
| 0279 | 17:20
|
Effects of hypertension and type 2 diabetes on cerebrovascular reactivity in older adults |
| Nuwan D. Nanayakkara1, Liesel-Ann Meusel1, Nicole D. Anderson1,2, and J. Jean Chen1,3,4 | ||
1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 2Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada, 3Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 4Department of Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: Quantitative Imaging, Diabetes, Cerebrovascular reactivity, CVR Differences in CVR amplitude and time delay were assessed among patients with hypertension (HT), hypertension-plus-type-2 diabetes (HT+DM), and age-matched controls (CTL) using a pipeline for adaptive capturing of the BH response directly from BOLD data, ensuring greater robustness. The lowest CVR amplitude and the longest delay were found in the HT+DM group. CTL had the highest CVR amplitude, and the HT group had the shortest time delays. CVR delay was more sensitive to group differences than amplitude. |
| 0280 | 17:28
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Quantitative Comparison of Bone-Selective MRI Techniques for Craniofacial Imaging |
| Nada Kamona1,2, Brandon C. Jones1,2, Hyunyeol Lee1,3, Connor S. Wagner4, Makayla Clark1, Advait Thaploo1, Sandhya Konar1, Carlos Mendez Cruz1, Kevin Li1, Bartlett P. Bartlett4, Chamith S. Rajapakse1,5, Hee Kwon Song1, and Felix W. Wehrli1 | ||
1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3School of Electronics Engineering, Kyungpook National University, Daegu, Korea, Republic of, 4Division of Plastic, Reconstructive, and Oral Surgery, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States, 5Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Quantitative Imaging, Bone, Skull imaging Risk of ionizing radiation from CT remains a concern for pediatric patients, such as craniosynostosis patients who may require multiple scans at a young age. We quantitatively compared three MRI methods for imaging the skull by scanning healthy adults using our solid-state bone-selective ultrashort echo subtraction sequence, along with zero echo time and gradient-echo sequences. We demonstrate the similarities among the 3D rendered bone segmentations in terms of Dice similarity coefficient and craniometric measurements across all imaging methods. Our UTE echo subtraction technique shows clear visualization of craniofacial structures near the bone-air boundaries and superior signal suppression of soft-tissues. |
| 0281
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17:36
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Systematic assessment of published QSM inversion algorithms for detecting longitudinal changes in brain susceptibility |
| Fahad Salman1, Abhisri Ramesh1, Thomas Jochmann1,2, Mirjam Prayer1, Niels Bergsland1,3, Michael G. Dwyer1,4, Dejan Jakimovski1, Robert Zivadinov1,4, and Ferdinand Schweser1,4 | ||
1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, 3IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, 4Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping Quantitative susceptibility mapping (QSM) calculates the tissue magnetic susceptibility from gradient-echo phase images. Tissue magnetic susceptibility is of high clinical interest because it reflects tissue iron, myelin, and calcium. However, the clinical significance of these findings remains unclear. In particular, it is unknown if algorithms differ in their ability to detect group differences and longitudinal changes in susceptibility.The present work compared a large number of published algorithms with respect to their ability to detect aging-related changes over time. |
| 0282
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17:44
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An improved sub-voxel QSM for susceptibility source separation |
| Zhenghao Li1, Ruimin Feng1, and Hongjiang Wei1 | ||
1Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping Conventional quantitative susceptibility mapping (QSM) reconstruction methods only provide voxel-averaged susceptibility value. We proposed a comprehensive complex signal model that describes the relationship between the 3D GRE signal and the contributions of opposing susceptibility to the frequency shift and $$$R_2^*$$$ relaxation. We used an iterative data fitting scheme to alternatively determine the sub-voxel susceptibilities and the voxel-wise proportionality coefficient between $$$R_2'$$$ and absolute susceptibility. Our experiments on in-vivo human brain data compared with histological staining images demonstrate that the proposed method provides more accurate results for quantifying brain iron and myelin than previous QSM separation methods. |
| 0283 | 17:52
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Electrical Conductivity Mapping Using Ultrashort Echo Time Double Echo Steady State |
| Hyungseok Jang1, Sam Sedaghat1, Soo Hyun Shin1, Saeed Jerban1, Yajun Ma1, Eric Y Chang1,2, and Jiang Du1,2,3 | ||
1Department of Radiology, University of California, San Diego, San Diego, CA, United States, 2Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States, 3Department of Bioengineering, University of California, San Diego, San Diego, CA, United States |
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Keywords: Quantitative Imaging, Electromagnetic Tissue Properties Electrical conductivity is an intrinsic tissue property. At the Larmor frequency of the MR system (i.e., ~128 MHz at 3T), the electrical conductivity reflects the tissue composition and ionic contents. Electrical conductivity mapping (ECM) has recently emerged as a promising MR-based biomarker. In this study, we show the feasibility of ECM using ultrashort echo time double echo steady state (UTE-DESS). In addition, three ECM methods, including forward Laplacian, parabolic fitting, and inverse Laplacian, are compared in computer simulation and ex vivo experiments with four cadaveric human brain specimens. |
| 0284 | 16:00
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An investigation of the glial biomarker myo-Inositol as a marker of brain inflammation in elderly patients with and without delirium. |
| Franklyn A Howe1, Daniel Richardson2, Lauren Binnie3, Uzma Khan4, Philip Rich4, Daniel HJ Davis5, Atticus H Hainsworth2, and Jeremy Isaacs3 | ||
1Neurosciences Research Section, St George's, University of London, London, United Kingdom, 2Neurosciences Research Section, St George's, University of London, LONDON, United Kingdom, 3Dept Neurology, St George's University Hospital Foundation Trust, LONDON, United Kingdom, 4Neuroradiology, St George's University Hospital Foundation Trust, LONDON, United Kingdom, 5MRC Unit for Lifelong Health and Ageing, University College London, LONDON, United Kingdom |
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Myo-Inositol is sometimes considered a marker of brain inflammation and studies indicate mI (mI/tCr) increases with age up to the 6th decade. We performed 1H MRS in four brain regions of very elderly hospitalised patients (n=25, aged 67-90 yrs) of which 12 had delirium. Elevated mI/tCr was associated with increasing Fazekas score for white matter damage (p<0.001) in all regions. In addition mI/tCr and mI/NAA showed negative correlation with age (p<0.001). There were no significant differences between patients with or without delirium. Decreased mI/tCr due to reduced glial cell numbers or dysfunction may coincide with increased mI/tCr associated with inflammation. |
| 0285 | 16:08
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The sequence of regional structural disconnectivity due to chronic active and inactive multiple sclerosis lesions |
| Ceren Tozlu1, Emily Olafson1, Keith Jamison1, Emily Demmon2, Ulrike Kaunzner2, Melanie Marcille2, Nicole Zinger2, Nara Michaelson2, Neha Safi2, Thanh Nguyen1, Susan Gauthier2, and Amy Kuceyeski1 | ||
1Department of Radiology, Weill Cornell Medicine, NYC, NY, United States, 2Department of Neurology, Weill Cornell Medicine, NYC, NY, United States |
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In this study, we showed that structural disconnectivity due to T2 FLAIR lesions in the ventral attention and subcortical networks, in particular within the supramarginal and putamen, occurs earlier in the sequence of disability (i.e., mild to severe) in multiple sclerosis. We also showed that paramagnetic rim lesion (PRL)-based structural disconnectivity in motor-related regions occurs earlier in the disability event sequence, followed by non-PRL-based structural disconnectivity in the caudate and postcentral gyrus. T2 FLAIR lesion-based structural disconnectivity in subcortical regions, including the thalamus, occurs earliest in the sequence of cognitive impairment (i.e. preserved to impaired). |
| 0286 | 16:16
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Metabolic Imaging of Alzheimer’s Disease Related Inflammation Using Deuterium MRI |
| Matthew E Merritt1, Mario Chang1, Tara Hawkinson1, Anna Rushin1, Vikram Kodibagkar2, James Bankson3, and Ramon Sun1 | ||
1Biochemistry and Mol. Bio., University of Florida, Gainesville, FL, United States, 2School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States, 3Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States |
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Alzheimer’s Disease (AD) is characterized by increased inflammation and increased glucose utilization as detected by FDG-PET. Using a new deuterium MRI method based on a [D7]glucose tracer, we can image the brain of a mouse model of AD with in plane resolution approaching 1 mm. Mass spectrometry imaging of the same brains shows characteristic changes in protein associated glycans that correlate well with immunohistochemical staining for inflammation. We believe this new research pipeline can provide powerful new insights into AD pathophysiology. |
| 0287 | 16:24
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Depression Related Structural Changes Based on 3D Brain MRI and Neural Fingerprint Assisted Segmentation |
| Liya Wang1, Peijia Xu1, Ting Xue1, Xiuliang Deng2, Jiayi Wu1, and Xingkui Xue3 | ||
1Radiology, Affiliated Longhua People's Hospital, the Third School of Clinical Medicine, Southern Medical University, Shenzhen, China, 2Clinical Psychology, Affiliated Longhua People's Hospital, the Third School of Clinical Medicine, Southern Medical University, Shenzhen, China, 3Central lab, Affiliated Longhua People's Hospital, the Third School of Clinical Medicine, Southern Medical University, Shenzhen, China |
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This study focused on the slight quantitative changes of brain structures based on the high-resolution brain MRI and automatic segmentation with neural fingerprint technology for whole-brain of depressive patients. We found the volume changes of specific regional sub-structures, which were related to emotion and spirit, such as the cingulate gyrus, cuneiform lobe, hippocampus, et al before clinical diagnosis. Depression revealed the gender difference. The male depressions were more sensitive to hippocampus, while female’s were more sensitive to entorhinal cortex. It might indicate ovarian hormone fluctuations modulate women’s susceptibility to stress, brain structure/function, and inflammatory activity and reactivity. |
| 0288 | 16:32
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A novel method to calculate standardized quantitative maps from a single T2-weighted image: A feasibility study. |
| Nahla M H Elsaid1, Hemant D Tagare1,2, and Gigi Galiana1,2 | ||
1Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States, 2Biomedical Engineering, Yale University, New Haven, CT, United States |
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T2w imaging could assist in the early diagnosis of multiple sclerosis (MS). However, these scans are inherently qualitative, and variable intensities in the images depend on hardware and acquisition parameters. On the other hand, standardized quantitative T2 maps can serve as a sensitive biomarker of MS and the longitudinal assessment of the disease progression. In this abstract, we present the first results demonstrating that calculating T2 maps from vendor T2w sequence is feasible, which could allow for an earlier diagnosis of MS disease. |
| 0289 | 16:40
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Using Diffusion-weighted MR spectroscopy to quantify age- and inflammation-associated changes in glial morphology in-vivo |
| Eva Periche-Thomas1, Itamar Ronen2, Claire MacIver1, Dmitri Sastin1, Jonathan Underwood1, James Coulson1, Helena Leach1, Francesca Branzoli3, Mara Cercignani1, and Neil Harrison1 | ||
1CUBRIC, Cardiff University, Cardiff, United Kingdom, 2CISC, Brighton and Sussex Medical School, Brighton, United Kingdom, 3ICM-Paris Brain Institute, Paris, France |
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Age-associated cognitive decline and neurodegenerative disorders have been linked to altered immune function and inflammation, and particularly to the role of microglia. Current methods for imaging (micro)glia in humans are limited to TSPO-PET, a costly and invasive technique with poor cellular specificity. Here we acquired diffusion weighted (DW) MRS in 15 young and 15 older participants, each scanned twice, after Interferon-1beta or placebo. Results supported our prior hypotheses of selective effects of Interferon-1beta on the apparent diffusion coefficient of thalamic Choline (p<0.040), providing support for DW-MRS as a novel in-vivo method for quantifying glial morphology. |
| 0290 | 16:48
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Robustness analysis of QSM radiomic features in patients with multiple sclerosis |
| Cristiana Fiscone1, Leonardo Rundo2, Alessandra Lugaresi1,3, David Neil Manners1, Kieren Allinson4, Elisa Baldin5, Raffaele Lodi1,6, Caterina Tonon1,6, Claudia Testa6,7, Mauro Castelli8, and Fulvio Zaccagna9,10,11 | ||
1Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy, 2Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy, 3UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 4Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 5Epidemiology and Statistics Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 6Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 7Department of Physics and Astronomy, University of Bologna, Bologna, Italy, 8NOVA Information Management School, Universidade NOVA de Lisboa, Lisbon, Portugal, 9Department of Imaging, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 10Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 11Radcliffe Department of Medicine, Investigative Medicine Division, University of Oxford, Oxford, United Kingdom |
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This work evaluates the reliability of radiomic features in healthy controls and patients with multiple sclerosis using MR Quantitative Susceptibility Mapping (QSM), to guide the identification of future potential biomarkers. To ensure reproducibility, we assessed the non-lesioned parenchyma. Feature robustness was evaluated against the number of grey levels and echo times, measuring the Intraclass Correlation Coefficient (ICC). More than 65% of features were robust; different outcomes between regions were interpreted considering their anatomical characteristics (e.g. fibres’ orientation), confirmed by radiomic measurements (e.g. entropy). In future work, we are going to assess characterization and classification potential of those measurements. |
| 0291 | 16:56
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A comparison of Gadolinium- and water-based blood-brain barrier dysfunction measures in patients with small vessel disease |
| Michael S Stringer1, Cameron Manning1, Xingfeng Shao2, Hedok Lee3, Antoine Vallatos4, Hattie Lord1, Carmen Arteaga1, Una Clancy1, Daniela Jaime Garcia1, Maria Valdes Hernandez1, Stewart Wiseman1, Rachel Locherty1, Francesca Chappell1, Rosalind Brown1, Fergus N Doubal1, Ian Marshall1, Helene Benveniste3,5, Michael J Thrippleton1, Danny JJ Wang2, and Joanna M Wardlaw1 | ||
1Centre for Clinical Brain Sciences and UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom, 2Laboratory of FMRI Technology (LOFT), USC Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, United States, 4Glasgow Experimental MRI Centre, School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom, 5Department of Biomedical Engineering, Yale School of Medicine, Yale University, New Haven, CT, United States |
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Clinically relevant non-invasive blood-brain barrier (BBB) function imaging techniques are needed to monitor the role of neuroinflammation and endothelial cell dysfunction, particularly in small vessel disease (SVD). Diffusion-weighted ASL measures water exchange rate (kw), a promising endogenous BBB function metric, but has not been assessed in sporadic SVD. We measured kw in SVD patients to explore associations with established Gadolinium-based contrast agent (GBCA) BBB permeability measures and SVD severity. We found only limited associations between kw and GBCA metrics, although patients with more severe SVD tended to have higher kw, reflecting that the methods may probe different mechanisms. |
| 0292 | 17:04
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Short-term changes in brain structure, perfusion and oxygen metabolism in young adults infected with Omicron: A case control study using MRI |
| Rui Shen1, Jiachen Liu1, Chenyang Zhao2, Ning Xu1, Shuwan Yu1, Huiyu Qiao1, Zihan Ning1, Hualu Han1, Zixuan Lin3, Hanzhang Lu4, Haiyan Ding1, and Xihai Zhao1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Department of Radiology, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China, 3College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 4Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baldimore, MD, United States |
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We investigated the short-term changes in brain structure, perfusion and oxygen metabolism in young adult patients infected with SARS-COV-2 Omicron but with mild symptoms in China using multimodal MRI. The clinical and brain MR imaging characteristics were compared between patient group (n=98) and healthy control group（n=50). Our findings suggest that there are no significant short-term changes in brain structure, perfusion and oxygen metabolism determined by multimodal MR imaging in young adult patients infected with SARS-CoV-2 Omicron. The potential trend of decline in the volume of cerebral nucleus in the patient group needs further investigation. |
| 0293 | 17:12
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Diffusion Bubble Model: A Novel Method For Detecting Neuroinflammation in Mouse Brain With Sanfilippo Syndrome |
| Erjun Zhang1,2,3, Irene Londono2, Jérémie Fouquet4, Alexey Pshezhetsky5,6, Benjamin De Leener1,2,3,7, and Gregory Lodygensky2,8 | ||
1Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2CHU Sainte-Justine University Hospital Center, University of Montreal, Montreal, QC, Canada, 3NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 4Cerebral Imaging Centre, Douglas Research Center, McGill University, Montreal, QC, Canada, 5Centre Hospitalier Universitaire Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada, 6Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada, 7Department of Computer Engineering and Software Engineering, Polytechnique Montreal, Montreal, QC, Canada, 8Department of Pharmacology, University of Montreal, Montreal, QC, Canada |
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The Diffusion Bubble Model (DBM) is a new method for detecting neuroinflammation in the brains of mice with Sanfilippo Syndrome. This rare and debilitating disorder primarily affects children and causes progressive neurodegeneration. DBM utilizes diffusion spectrum derived from dMRI to detect brain injuries such as inflammation. It can work in both white and gray matter with limited number of diffusion directions. The study found that brain injuries with inflammation had reduced the fraction of the slow diffusion component and increasing the fraction of the fast diffusion component. The findings may establish non-invasive biomarkers for detecting and evaluating neuroinflammation diseases. |
| 0294 | 17:20
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Tracking evolution of multiple sclerosis lesions during medication switch: a quantitative multiparametric 7T MRI approach |
| Myrte Strik1, Warda T Syeda1, Yasmin Blunck1,2, Vivien Li3,4,5, Rebecca Glarin1, Scott C Kolbe6, Bradford A Moffat1, Leigh A Johnston1,2, Elaine Lui1,7,8, and Trevor J Kilpatrick3,4,5 | ||
1Radiology, Melbourne Brain Centre Imaging Unit, University of Melbourne, Melbourne, Australia, 2Biomedical Engineering, University of Melbourne, Melbourne, Australia, 3Neuroimmunology and Remyelination Laboratory, Florey Institute for Neuroscience and Mental Health, Melbourne, Australia, 4Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia, 5Neurology, Royal Melbourne Hospital, Melbourne, Australia, 6Research Partnerships & Translation, RMIT University, Melbourne, Australia, 7Radiology, University of Melbourne, Melbourne, Australia, 8Radiology, Royal Melbourne Hospital, Melbourne, Australia |
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Multiple sclerosis patients may need to switch disease modifying treatments due to various reasons, with risk of recurrent disease activity during transition period. Identifying patients at risk is challenging. In this pilot study we used a non-conventional quantitative multi-modal 7T MRI approach to assess evolution of lesions when switching medication. We observed altered diffusion, susceptibility and T1 values three months after stopping, and these metrics returning to baseline values three months after starting new medication. Multi-modal quantitative MR techniques at ultra-high field MRI may be more sensitive to detect subtle changes over time to potentially better inform underlying disease activity. |
| 0295 | 17:28
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ADVANCED DIFFUSION IMAGING METHODS TO ASSESS THE MICROSTRUCTURE OF MULTIPLE SCLEROSIS LESIONS |
| Anna Stölting1, Colin Vanden Bulcke1,2, Benoit Macq2, and Pietro Maggi1 | ||
1Neuroinflammation Imaging Lab, Université catholique de Louvain, Brussels, Belgium, 2ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium |
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Paramagnetic Rim Lesions (PRL) in Multiple Sclerosis (MS) are associated with increased disability and axonal damage. We examined PRL microstructure using Track Density Imaging (TDI) and four diffusion MRI (dMRI) models, including Microstructure Fingerprinting (MF). When compared to non-PRL, PRL showed larger size, higher T1-values, lower neurite density index and fibre volume fraction on dMRI (p < 0.001) and reduced track density on TDI (p < 0.0001), suggesting impaired axonal density/integrity in PRL. Results obtained with the novel MF model are in line with those obtained with other dMRI models, indicating its potential for studying MS lesion pathology. |
| 0296 | 17:36
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MicroCoP: digital Microstructure Correlation Phantoms for benchmarking of multicomponent MRI methods |
| Sebastian Endt1,2,3,4, Carolin M Pirkl3, Marco Palombo4, and Marion I Menzel1,2,3 | ||
1AImotion Bavaria, Technische Hochschule Ingolstadt, Ingolstadt, Germany, 2Technical University of Munich, Munich, Germany, 3GE HealthCare, Munich, Germany, 4Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Cardiff, United Kingdom |
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We present MicroCoP, a flexible tool for the generation of digital Microstructure Correlation Phantoms that can be used to benchmark multicomponent MRI reconstruction methods. The phantoms provide ground-truth distributions for the MR tissue parameters of your choice. These can be fed into forward simulations and thus provide a pair of ground-truth distributions and resulting signal evolutions to thoroughly evaluate multicomponent MRI reconstruction methods. |
| 0297 | 17:44
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Short-term susceptibility correlations are sensitive to disrupted iron dynamics in multiple sclerosis |
| Jack Reeves1, Fahad Salman1, Michael G Dwyer1,2, Niels Bergsland1, Bianca Weinstock-Guttman3, Sarah Muldoon4, Robert Zivadinov1,2, and Ferdinand Schweser1,2 | ||
1Buffalo Neuroimaging Analysis Center, Buffalo, NY, United States, 2Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, Buffalo, NY, United States, 3Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Buffalo, NY, United States, 4Department of Mathematics, University at Buffalo, Buffalo, NY, United States |
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Deep gray matter (DGM) iron dyshomeostasis has been linked to neuroinflammation in multiple sclerosis (MS). In the present work, we hypothesized that a novel correlation analysis of magnetic susceptibility co-fluctuations between DGM regions reveals short-term (<1 year) MS-related iron dyshomeostasis that is undetectable with conventional ROI-based methods. Our results showed the correlations-based analysis was more sensitive to MS vs HC group differences than the standard ROI-based approach. A simulation indicated that the MS-related differences may be due to neuroinflammatory-based disruption to normal aging-related iron accumulation. Our methodology may be applied to study neuroinflammatory diseases at short timescales not previously possible. |
| 0298 | 17:52
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A novel atlas of absolute myelin water content: the baseline for studying inflammatory demyelinating diseases |
| Ana-Maria Oros-Peusquens1, Zaheer Abbas1, Erhan Genc2,3, Christoph Franz2,3, and N. Jon Shah4,5,6 | ||
1INM-4, Research Centre Juelich, Juelich, Germany, 2Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Dortmund, Germany, 3Faculty of Psychology, Institute for Cognitive Neuroscience, Department of Biopsychology, Ruhr University Bochum, Bochum, Germany, 4JARA-BRAIN - Translational Medicine, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany, 6INM-11, JARA, Forschungszentrum Jülich, Juelich, Germany |
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Quantitative brain atlases can be combined in multiparametric characterisations of the same template voxel with a number of microstructure-sensitive quantities, potentially enabling earlier and more specific characterisation of changes caused by disease. We combine in this study two quantitative atlases, absolute water content and myelin water fraction, to generate a novel atlas describing absolute myelin water content. This is relevant as a baseline for investigating changes in inflammatory diseases involving both demyelination and brain edema. The accompanying relaxometric parameters R2* and R2 are combined in an atlas of the reversible relaxation rate R2’. Fibre tract-specific distributions and correlations are found. |
| 0299 | 16:00
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On-site construction of a point-of-care low-field MRI system in Africa |
| Johnes Obungoloch1, Ivan Muhumuza1, Wouter Teeuwisse2, Joshua Harper3, Martin van Gijzen4, Steven Schiff5, Andrew Webb2, and Thomas O'Reilly2 | ||
1Mberara University of Science and Technology, Mberara, Uganda, 2Leiden University Medical Center, Leiden, Netherlands, 3Universidad Paraguayo Alemana, Asuncion, Paraguay, 4Delft Institute of Applied Mathematics, Delft, Netherlands, 5Yale University, New Haven, CT, United States |
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Keywords: Low-Field MRI, Low-Field MRI Point-of-care (POC) low-field MRI systems have a large potential to increase the accessibility and sustainability of MRI in low- and middle-income countries (LMICs). An important step in translating scientific developments from high-income countries to LMICs is technology that can be assembled or constructed locally. We describe the construction and testing of a POC system on site in Africa. All components to assemble a 50 mT Halbach magnet based system, together with the necessary tools, were air-freighted from The Netherlands to Uganda. With four instructors and six untrained personnel, the complete project from delivery to first image took approximately 11 days. |
| 0300 | 16:08
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T1ρ and magnetization transfer experiments on a point-of-care 46 mT MRI system |
| Beatrice Lena1, Chloé Najac1, Lena Václavu1, Thomas O'Reilly1, and Andrew Webb1 | ||
1Leids Universitair Medisch Centrum, Leiden, Netherlands |
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Keywords: Low-Field MRI, RF Pulse Design & Fields, Saturation RF pulses Contrast mechanisms such as T1ρ and MT are interesting for point-of-care (POC) low field systems, to supplement/augment standard T1- and T2- weighting. However they typically require high B0 homogeneity. Here, we use a high homogeneity Halbach-magnet array POC to perform experiments involving either direct on- or off-resonance pulses, and to calculate T1ρ and MT ratio in tissue-mimicking phantoms. T1ρ showed different white matter (WM)/gray matter (GM) contrast compared to T2. The measured magnetization transfer ratio (MTR) showed higher values in the WM than in the GM. |
| 0301
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16:16
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Cerebral Time-of-flight Magnetic Resonance Angiography at Ultra-low-field: A Preliminary Study at 0.055 Tesla |
| Shi Su1,2, Jiahao Hu1,2, Linfang Xiao1,2, Ye Ding1,2, Vick Lau1,2, Yujiao Zhao1,2, Junhao Zhang1,2, Christopher Man1,2, Alex T. L. Leong1,2, and Ed X. Wu1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, the University of Hong Kong, Hong Kong, China, 2Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong, China |
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Keywords: Low-Field MRI, Brain Recent development of ultra-low-field (ULF) MRI presents opportunities for low-cost and portable brain imaging in point-of-care scenarios or/and low- and mid-income countries. Magnetic resonance angiography (MRA) is an essential part of MR neuroimaging protocols especially for stroke assessment, yet its feasibility at ULF remains unknown. In this study, we explore the time-of-flight MRA at 0.055 Tesla. We demonstrate cerebral MRA using flow-compensated gradient echo sequences, enabling visualization of main cerebral arteries and veins. We envision that usable and quality brain MRA can be potentially achieved at ULF with further sequence/reconstruction optimization and use of intravascular contrast agent. |
| 0302 | 16:24
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Full-scale imaging system for brain MRI and magnetoencephalography |
| Koos Zevenhoven1, Marko Havu1, Iiro Lehto1, Antti Mäkinen1, Juho Luomahaara2, Petteri Laine3, Mikko Kiviranta2, and Risto J Ilmoniemi1 | ||
1Aalto University, Espoo, Finland, 2VTT, Espoo, Finland, 3MEGIN Oy, Espoo, Finland |
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Keywords: Low-Field MRI, New Devices, SQUID, MEG We have built the first full-scale brain scanner performing both MRI and neuromagnetic measurements. Many improvements have been made compared to previous-generation systems. Parts of the system include a helmet-shaped array of 120 superconducting sensors and a pulsed superconducting polarizing coil. An open-geometry coil system provides unobstructed access, and MRI signal acquisition is performed at ultra-low field. The first MEG and MRI data have been successfully obtained with the device. The new prototype is an important milestone on the way towards a commercial implementation. |
| 0303 | 16:32
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Four-fold acceleration of in vivo T1 mapping at 0.1 T using heavily-undersampled Look-Locker data and matrix completion |
| Marco Fiorito1, Mauro Spreiter1, Mathieu Sarracanie1,2, and Najat Salameh1,2 | ||
1Center for Adaptable MRI Technology (AMT Center), Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 2AMT Center, Institute of Medical Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, United Kingdom |
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Keywords: Low-Field MRI, Relaxometry Quantitative T1 mapping has proven useful in several clinical applications, nevertheless it is not widely deployed as it generally suffers from long acquisition times. This problem is exacerbated at low magnetic fields, due to inherent lower sensitivity. In spite of more favourable magnetisation properties (e.g., shorter recovery times, higher dispersion), exotic acquisition strategies and reconstruction pipelines are key to make quantitative MRI at low field fast, and compatible with clinical routines. Here, we present a low-rank matrix completion-based reconstruction method applied to heavily undersampled Look-Locker data for accelerated T1 mapping at 0.1 T. |
| 0304 | 16:40
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Sequential Gradient Superposition (SGS) FREE |
| Parker JB Jenkins1, Xiaoping Wu2, Gregor Adriany2, and Mike Garwood2 | ||
1Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 2Radiology, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Low-Field MRI, New Trajectories & Spatial Encoding Methods, RF encoding, Machine Learning, Low Cost MRI Frequency-modulated Rabi Encoded Echoes (FREE) is a RF encoding technique that has the potential reduce the overall costs of MRI by eliminating B0 gradient hardware and infrastructure. However, linear encoding quality has limited its efficacy. To address this problem, we present Sequential Gradient Superposition (SGS) FREE. With SGS-FREE we can decompose the net effective RF gradient into a series of sequentially applied RF gradient sets. This ultimately allows imcreased flexability in linear encoding. This simulation study explores the principle and demonstrates high resolution imaging potential with FREE technology. |
| 0305 | 16:48
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Accelerated Imaging at Ultralow Magnetic Fields: A comparative study of traditional and neural-network-based reconstruction approaches |
| David E. J. Waddington1, Efrat Shimron2, Shanshan Shan1, Neha Koonjoo3, Sheng Shen3, and Matthew S. Rosen3,4,5 | ||
1Image X Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia, 2Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States, 3A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Department of Physics, Harvard University, Cambridge, MA, United States |
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Keywords: Low-Field MRI, Image Reconstruction Portable MRI scanners that operate at very low magnetic fields are increasingly being deployed in clinical settings. However, accelerated acquisition and reconstruction methods that boost the quality of low-field MR images are needed to improve the diagnostic accuracy of the modality. Here, we compare leading data-driven and model-driven deep learning frameworks to compressed sensing (CS) for the reconstruction of undersampled ultralow field MRI data, finding that neural network approaches can boost quantitative image reconstruction metrics. |
| 0306 | 16:56
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Compact and Lightweight Single-sided Inward-outward (IO)-ring permanent magnet array for back imaging |
| Ting-Ou Liang1, Erping Li2, Wenwei Yu3, and Shao Ying Huang1 | ||
1Singapore University of Technology and Design, Singapore, Singapore, 2Zhejiang University, Hangzhou, China, 3Chiba University, Chiba, Japan |
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Keywords: Low-Field MRI, Low-Field MRI, back imaging A compact and lightweight single-sided Inward-outward (IO)-ring permanent magnet array is proposed for back imaging. Its size is 1396×528×1080mm3 and it weighs 924 kg. Within a field-of-view (FoV) of 300×80×20mm3, it has an axial magnetic field with an average strength of 129.8mT, a built-in gradient (averaged at 158mT/m) that corresponds to a radiofrequency (RF) bandwidth of 9.7% and a good linearity with a R2-coefficient of 0.952. It has a compact 5-Gauss zone of 400×320×460mm3. |
| 0307 | 17:04
|
Ultra-Low Field Quantitative T2 Mapping |
| Adam V. Dvorak1, Sharada Balaji1, Megan E. Poorman2, Francesco Padormo2, Rui Pedro A.G. Teixeira2, Melissa Haskell2, Sudarshan Ragunathan2, William J. Hollander3, Alex L. MacKay1,4, Steven C.R. Williams5, Sean C.L. Deoni6, Emil Ljungberg5,7, and Shannon H. Kolind1,4,8 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Hyperfine Inc., Guilford, CT, United States, 3CaliberMRI Inc., Boulder, CO, United States, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5Department of Neuroimaging, King’s College London, London, United Kingdom, 6Maternal, Newborn & Child Health Discovery & Tools, Bill and Melinda Gates Foundation, Seattle, WA, United States, 7Department of Medical Radiation Physics, Lund University, Lund, Sweden, 8Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada |
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Keywords: Low-Field MRI, Relaxometry We demonstrated quantitative T2 mapping at 0.064 T using a multi-echo spin-echo sequence and CALIPR subspace constrained image reconstruction. CALIPR reconstruction results had minimal evidence of undersampling, providing better artifact suppression and preservation of fine anatomical detail than compressed sensing reconstruction. Phantom validation work was performed using 14 vials doped with known concentrations of MnCl2 and showed a relationship between measured T2 and MnCl2 concentration in agreement with expectations from a mathematical model. In-vivo, we demonstrated short acquisition time (8m:40s or 5m:59s), strong agreement with a highly-sampled reference acquisition, and T2 maps with good contrast between tissue types. |
| 0308 | 17:12
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Optimizing Deep Brain Grey Matter T1w Imaging at 0.5T |
| Andrew T Curtis1, Sofia Chavez1, and Jeff Stainsby1 | ||
1Research & Development, Synaptive Medical, Toronto, ON, Canada |
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Keywords: Low-Field MRI, Tissue Characterization We report on protocol optimizations to produce white matter nulled images as well as to optimize visualization of subcortical structures. Quantitative T1 mapping of brain tissue at 0.5T estimated the T1 of white and grey matter as 510 and 760 ms respectively. From this an MPRAGE protocol with optimal subcortical matter contrast was found with TI=415ms. Deep brain grey/white matter visualization can be improved with a white matter nulled protocol using TI=250ms. |
| 0309 | 17:20
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MUSE reconstruction of multishot DW-EPI is not limited by SNR at 0.5T |
| Ally Klassen1, James Rioux2,3, Chris Bowen3, Curtis Wiens4, Sharon Clarke5,6, and Steven Beyea3,7 | ||
1Biomedical Engineering, Dalhousie University, Halifax, NS, Canada, 2BIOTIC / Biomedical Translational Imaging Centre, Nova Scotia Health, Halifax, NS, Canada, 3Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 4Synaptive Medical, Toronto, ON, Canada, 5Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 6Diagnostic Radiology, Nova Scotia Health, Halifax, NS, Canada, 7BIOTIC / Biomedical Translational Imaging Centre, IWK Health, Halifax, NS, Canada |
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Keywords: Low-Field MRI, Susceptibility, Susceptibility distortion Multi-shot echo planar imaging (EPI) can be used to reduce spatial distortion and improve spatial resolution in diffusion-weighted imaging; however, patient motion between shots can result in large intra-shot phase differences and increased artifact. It is unknown whether multiplexed sensitivity encoding (MUSE) can be applied to reduce these phase differences in DW-EPI images acquired at low field due to the inherently lower SNR. In this work we evaluate the performance of MUSE in DW-EPI data acquired at 0.5T, in terms of SNR and ghost-to-noise ratio (GNR) as a function of signal averaging, and demonstrate that multi-shot DW-EPI is feasible. |
| 0310
|
17:28
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Artifact reduction for real-time spiral MRI using out-in sampling at 0.55T |
| Jeffery Wong1, Prakash Kumar1, Krishna S. Nayak1, and Ye Tian1 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Low-Field MRI, Low-Field MRI, Speech, RT-MRI We demonstrate reduced artifacts for real-time MRI of speech production at 0.55T with a gradient echo sequence using spiral out-in sampling, and constrained image reconstruction. This approach avoids banding artifacts experienced by spiral bSSFP sequences, and exhibits reduced blurring artifact compared to a spiral out gradient echo sequence at the same readout duration. |
| 0311 | 17:36
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Multi-Coil Multi-Contrast Random Matrix Theory-Based Denoising for Liver Fat and R2* Quantification at 0.55T |
| Shu-Fu Shih1,2, Zhaohuan Zhang1,2, Bilal Tasdelen3, Ecrin Yagiz3, Sophia X. Cui4, Xiaodong Zhong4, Krishna S. Nayak3, and Holden H. Wu1,2 | ||
1Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 2Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 3Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angles, CA, United States, 4MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angles, CA, United States |
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Keywords: Low-Field MRI, Low-Field MRI Liver fat and R2* quantification has been extensively validated at 1.5T and 3T. Recently, there is renewed interest in lower-field MRI because of potential advantages such as a larger bore and lower costs. However, it is challenging to acquire images with sufficient signal-to-noise ratio for accurate fat and R2* quantification at 0.55T. Previous random matrix theory (RMT)-based approaches leverage Gaussian noise characteristics to markedly reduce the noise without compromising the tissue signal. In this work, we investigated a multi-coil multi-contrast RMT-based denoising approach which is compatible with parallel imaging and we demonstrated improved liver fat and R2* quantification at 0.55T. |
| 0312 | 17:44
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A Flexible Coil Based on a Cable Conductor for 0.55T Head Imaging |
| Bili Wang1, Jerzy Walczyk1, Mary Bruno1, Mahesh Keerthivasan2, Robert Rehner3, and Ryan Brown1 | ||
1Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University, Grossman School of Medicine, New York City, NY, United States, 2Siemens Medical Solutions USA Inc., Malvern, PA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Low-Field MRI, Brain Flexible coils have the potential to improve SNR over rigid coils but have been rarely applied to head imaging. We built a flexible 13-channel coil for 0.55T based on RG-223 cable loops arranged with dodecahedral geometry. The coil closely fit the head and provided 30-50% SNR gain in the ventricles and significant image quality improvements over a conventional rigid coil. While the current minimalistic prototype coil showed promising performance, practical advances, such as an insulating layer that can be easily sanitized and a structure to immobilize the head, must be integrated to make the coil user friendly. |
| 0313 | 17:52
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Virtual coil concept with multi-scale low-rank for real-time cardiac MR at 0.55T |
| Gastao Cruz1, Jesse Hamilton1, Evan Cummings1, Yuchi Liu1, Vikas Gulani1, and Nicole Seiberlich1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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Keywords: Heart, Low-Field MRI Real-time MR applications are often highly undersampled due to the high temporal resolution required. Here, we propose a novel linear forward model combining virtual coils and multi-scale low-rank to enable highly accelerated real-time cardiac MR. The virtual coil concept leverages Hermitian symmetry, whereas multi-scale low-rank attempts to model real-time motion as a combination of subspaces across multiple image scales. Experiments in five healthy subjects demonstrate a considerable improvement in image quality over conventional iterative SENSE, enabling real-time cardiac imaging at 0.55T. |
| 0314 | 16:00
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Fast and High-resolution Luminal Water Imaging in the Prostate Based on Echo Merging and k-t Undersampling with Reduced Refocusing Flip Angles |
| Hao Li1,2, Nikita Sushentsev2, Dimitri Kessler2, Shaohang Li3, Kang-Lung Lee2, Andrew Nicholas Priest2,4, Ferdia A Gallagher2, and Tristan Barrett 2 | ||
1The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Shanghai Jiao Tong University University, Shanghai, China, 4Department of Radiology, CUH NHS Foundation Trust, Cambridge, United Kingdom |
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Keywords: Prostate, Cancer The clinical application of luminal water imaging (LWI) has been restricted by its long acquisition time. We present a high acceleration method based on T2 mapping using echo merging plus k-t undersampling with reduced flip angles (TEMPURA), which enables a fast acquisition in 2.8 min as well as a high-resolution acquisition in 5.4 min. Their performance was evaluated on 13 patients with biopsy-proven prostate cancer. Compared with the standard acquisition in 8.3 min, both the fast and high-resolution methods showed a high correlation in LWI measurements and consistent diagnostic performance in detecting malignant lesions. |
| 0315 | 16:08
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Assessment of Background Heterogeneity of Prostate Peripheral Zone for Cancer Detectability using Magnetic Resonance Fingerprinting |
| Peter Qiao1, Donald Brennan1, Sree Harsha Tirumani2,3, Yong Chen2,3, Mark Griswold2,3, and Leonardo Kayat Bittencourt2,3 | ||
1School of Medicine, Case Western Reserve University, Cleveland, OH, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States |
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Keywords: Prostate, Cancer In this pilot study, we assessed the background signal change (BSC) of the prostate peripheral zone based on quantitative T1 and T2 measurement obtained using Magnetic Resonance Fingerprinting (MRF) and correlated with a previously-developed qualitative BSC score. Our results demonstrate the importance of prostate BSC toward reducing uncertainty in prostate MRI. Compared to the qualitative BSC score, the MRF-derived measurements provide a more reproducible and objective assessment of background heterogeneity of the prostate. BSC scoring has great potential in risk-stratifying patients with incidentally-detected clinically significant prostate cancer and yielding better biopsy decision-making for patients with negative MRI. |
| 0316 | 16:16
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THE ADDED VALUE OF HYBRID MULTIDIMENSIONAL MRI TO MULTIPARAMETRIC MRI IN DIAGNOSING CLINICALLY SIGNIFICANT PROSTATE CANCERS |
| Grace Lee1, Aritrick Chatterjee1, Ibrahim Karademir1, Roger Engelmann1, Ambereen Yousuf1, Mihai Giurcanu2, Carla Harmath1, Gregory Karczmar1, and Aytekin Oto1 | ||
1RADIOLOGY, University of Chicago, Chicago, IL, United States, 2BIOSTATISTICS, University of Chicago, Chicago, IL, United States |
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Keywords: Prostate, Quantitative Imaging, Multiparametric MRI 1. In a retrospective review of 61 men by four readers, two inexperienced-readers had higher accuracy using multiparametric MRI+Hybrid-Multidimensional MRI (mpMRI+HM-MRI)=82%,81% versus Multiparametric MRI=77%, 71% (p=.006,<.001) and higher specificity=89%,88% versus 84%,75% (p=.009, p<.001) on a per-sextant analysis. 2. Multiparametric MRI+Hybrid-Multidimensional MRI increased trainee specificity=46% versus Multiparametric MRI=7% (p<.001) on a per-patient analysis. 3. Multiparametric MRI+Hybrid-Multidimensional MRI increased interreader Kappa agreement=0.36 versus Multiparametric MRI (mpMRI) Kappa=0.17 (p=0.009) in diagnosing clinically significant prostate cancer (CS PCa). |
| 0317 | 16:24
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Amide Proton Transfer Weighted Imaging to differentiate prostate suspicious nodules: Comparison with PI-RADS v2.1 score |
| Guanyong He1, Liying Han1, Ronghua Yan1, Hao Li1, Zhigang Wu2, Qingping Gu2, and Guanxun Cheng1 | ||
1Peking University Shenzhen Hospital, Shenzhen, China, 2Clinical & Technical Support, Philips Healthcare (Shenzhen) Ltd, Shenzhen, China |
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Keywords: Prostate, CEST & MT, APT Diagnosis of prostate cancer (PCa) remains a challenge since PCa often occurs simultaneously with benign prostatic hyperplasia and has similar nodule appearance on T2-weighted imaging and diffusion weighted imaging. Amide proton transfer weighted (APTw) imaging is an endogenous biomarker to detect proteins and peptides in tissues non-invasively. Results of this study indicate the APTw ratio (rAPTw) values of PCa were significantly higher than those of prostate benign nodules. Therefore, rAPTw value is potentially a promising and valuable non-invasive biomarker in differentiating PCa from benign nodules. |
| 0318 | 16:32
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Decomposition of clinical ADC into intracellular and extracellular-extravascular contributions in prostate cancer using histology |
| Alonso Garcia-Ruiz1, Francesco Grussu1, Snigdha Sen2, Chen Jin2, Alex Freeman3, Aiman Haider3, Shonit Punwani4, Daniel C. Alexander2, Raquel Perez-Lopez1, and Eleftheria Panagiotaki2 | ||
1Radiomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain, 2Department of Computer Science, Centre for Medical Image Computing, University College London, London, United Kingdom, 3Department of Pathology, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 4Centre for Medical Imaging, University College London, London, United Kingdom |
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Keywords: Prostate, Cancer, Histology Diffusion MRI has shown promising results for characterizing prostate cancer. However, diagnostic clinical apparent diffusion coefficient (ADC) has limited specificity and interpretability. Towards addressing these limitations, we aim to unravel clinical ADC into microstructural components using histology. Histology from two prostatectomies with prostate cancer (Gleason 3+4, 4+3) were analysed in benign, inflammation and cancer regions. Cell and tissue properties were used to decouple clinical ADC into intracellular, extracellular-extravascular ADCs. Results revealed significantly low intracellular ADC in cancer. Low ADC was also found for inflammation, which could explain ADC’s low specificity, demonstrating the added value of histology data for clinical ADC. |
| 0319 | 16:40
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Direct measurement of luminal diffusivity in prostate: Prostate diffusion at an echo time of 400 ms. |
| Gregory Lemberskiy1,2, Santiago Coelho1, Mary Bruno1, Els Fieremans1, and Dmitry S Novikov1 | ||
1New York University Grossman School of Medicine, New York, NY, United States, 2Microstructure Imaging, INC, New York, NY, United States |
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Keywords: Prostate, Prostate, Diffusion We showcase, for the first time, a direct/model-free measurement of luminal diffusivity in prostate, where ADC contrast no longer contains the cellular contribution, and only describes features of the glandular lumen, which prominently shrink with increasing Gleason score. We show that with a 4m30s protocol, the luminal volume fraction, cellular and luminal diffusivities can be obtained with high accuracy/precision at 1.5x1.5x3.0 mm3, suggesting that this approach can feasibly replace the current state-of-the-art, ~6 minute, prostate diffusion acquisition. |
| 0320 | 16:48
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Human Prostate MRI at ultra-high-performance gradient of 200 mT/m and 500 T/m/s |
| Ante Zhu1, Matthew Tarasek1, Yihe Hua1, Eric Fiveland1, Desmond T.B. Yeo1, Stephan E. Maier2, Yousef Mazaheri3, Filip Szczepankiewicz4, Carl-Fredrik Westin2, Clare Tempany2, Oguz Akin3, and Thomas K.F. Foo1 | ||
1GE Research, Niskayuna, NY, United States, 2Brigham and Women's Hospital, Boston, MA, United States, 3Memorial Sloan Kettering Cancer Center, New York, NY, United States, 4Lund University, Lund, Sweden |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques, Tumor, Microstructure Diffusion MRI has been shown to yield imaging biomarkers for prostate cancer identification and grading. However, the image quality remains poor due to the limited gradient performance of clinical whole-body MRI systems. We assessed the technical feasibility of human prostate MRI in a 42-cm inner-diameter gradient coil operating at maximum gradient amplitude of 200 mT/m and slew rate of 500 T/m/s. No sensation of peripheral nerve stimulation was reported. Significantly reduced image distortion and higher image signal-to-noise ratios were achieved in diffusion MRI due to shorter echo times and shorter echo spacings, compared to diffusion MRI at whole-body MRI systems. |
| 0321 | 16:56
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Multi-echo Diffusion-weighted Imaging for Quantifying Luminal Water Fraction in the Prostate |
| Kaibao Sun1, Guangyu Dan1,2, Muge Karaman1,2, Qingfei Luo1, and Xiaohong Joe Zhou1,2,3 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Keywords: Prostate, Quantitative Imaging Prostate cancer remains one of the leading causes of cancer-related deaths in men. Reduced luminal water fraction has been observed in prostate cancer using diffusion MRI, but the image acquisition takes a long time. We herein introduce a multi-echo DWI sequence that is capable of quantifying luminal water fraction with a substantially improved time efficiency. The sequence incorporated multiple readout echo-trains into diffusion-weighted EPI, together with a 2D RF excitation pulse to reduce the FOV, thereby enabling multiple TEs in one shot. With this sequence, we have evaluated the volume fractions of lumen and non-lumen tissues in the human prostate. |
| 0322 | 17:04
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Investigating tissue microstructure of prostate cancer using Linear Multi-scale Modeling of diffusion MRI data |
| Barbara Daria Wichtmann1, Niklas Westhoff2, Cleo-Aron Weis3, Ralph Strecker4, Thorsten Feiweier5, Steffen Albert6,7, Moritz Wolter8, Frank Zöllner6,7, Bettina Baeßler9, Aapo Nummenmaa10, Qiuyun Fan10,11, Susie Huang10,12, and Ulrike Attenberger1 | ||
1Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, 2Department of Urology and Urosurgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany, Heidelberg, Germany, 4EMEA Scientific Partnerships, Siemens Healthcare GmbH, Erlangen, Germany, 5MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany, 6Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 7Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 8High Performance Computing & Analytics Lab, University Bonn, Bonn, Germany, 9Institute of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 10A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 11Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China, 12Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Prostate, Cancer Linear Multi-scale Modeling (LMM) is an advanced diffusion-weighted imaging(DWI) technique that uses multi-shell, multi-diffusion-time DWI data to estimate tissue microstructure parameters, including volume fractions of restricted and hindered water compartments over a range of length scales and orientation distribution information. Here,we apply the LMM framework to characterize prostate cancer(PCa) lesions and correlate our results with histology. Within the histopathologically proven cancerous lesions we observed a significantly increased fraction of restricted diffusion, particularly within the 2μm and 7μm sized water compartments. LMM may enable the development of distinct diffusion microstructural signatures of PCa to facilitate diagnosis of clinically significant PCa lesions. |
| 0323 | 17:12
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Background prostate tissue is quantitatively abnormal on T2-weighted MRI in patients with clinically significant prostate cancer |
| Christopher C Conlin1, Roshan Karunamuni2, Troy S Hussain2, Allison Y Zhong3, Karoline Kallis2, Deondre D Do2,4, Asona J Lui2, Garnier Mani3, Courtney Ollison5, Mariluz Rojo Domingo4, Ahmed Shabaik6, Christopher J Kane7, Aditya Bagrodia7, Rana R McKay7,8, Joshua M Kuperman1, Rebecca Rakow-Penner1, Michael E Hahn1, Anders M Dale1,9,10, and Tyler M Seibert1,2,4 | ||
1Department of Radiology, University of California San Diego, La Jolla, CA, United States, 2Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 3School of Medicine, University of California San Diego, La Jolla, CA, United States, 4Department of Bioengineering, University of California San Diego, La Jolla, CA, United States, 5Department of Biology, San Diego State University, San Diego, CA, United States, 6Department of Pathology, University of California San Diego, La Jolla, CA, United States, 7Department of Urology, University of California San Diego, La Jolla, CA, United States, 8Department of Medicine, University of California San Diego, La Jolla, CA, United States, 9Department of Neurosciences, University of California San Diego, La Jolla, CA, United States, 10Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, United States |
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Keywords: Prostate, Cancer, T2-weighted MRI; Background prostate; Benign-appearing prostate In this study, we examined whether patients with clinically significant prostate cancer (csPCa) have abnormal T2-weighted signal in prostate tissue outside of index lesions identified on MRI—i.e., in the background prostate (BP). In two independent patient cohorts, normalized T2-weighted signal was systematically lower in the BP of subjects with csPCa compared to those without. Reduced T2-weighted BP signal indicated the presence of csPCa with accuracy comparable to lesion-based measurements. Consideration of T2-weighted signal in the whole prostate improved patient-level detection of csPCa over DWI alone, suggesting that it provides complementary diagnostic value. |
| 0324 | 17:20
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Prostate cancer characterization with a data-driven analysis of multi-center 3D 1H-MRSI data using Multivariate Curve Resolution |
| Angeliki Stamatelatou1, Carlo Giuseppe Bertinetto2, Jeroen J Jansen2, Geert J Postma2, Kirsten Margrete Selnæs3, Tone Frost Bathen3, Arend Heerschap1, and Tom WJ Scheenen1 | ||
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 2Department of Analytical Chemistry & Chemometrics, Radboud University, Nijmegen, Netherlands, 3Department of Circulation and Medical Imaging, Norwegian University of Technology and Science, Trondheim, Norway |
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Keywords: Prostate, Spectroscopy, multi-center, cancer, aggressiveness Location and aggressiveness of cancer lesions in the prostate were assessed with a Multivariate Curve Resolution (MCR) approach. This data-driven method was trained on 3D 1H MRSI data from 63 patients from 6 institutions to extract common spectroscopic components without needing prior knowledge. MCR identified 5 components related to known prostate metabolites, residual lipid and water signals. The relative amounts of these components robustly separated cancer from benign tissue in a test set of 43 other subjects from 8 centers, and showed a strong correlation with cancer aggressiveness. This approach facilitates automatic analysis of prostate MRSI, avoiding subjective human intervention. |
| 0325
|
17:28
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18F-PSMA-1007 PET/MR compared to PET/CT in prostate cancer recurrence: impact on clinical management |
| Bendik Skarre Abrahamsen1, Trond Velde Bogsrud2,3, Eivor Hernes4, Torgrim Tandstad5,6, Sverre Langørgen7, Miguel Castillejo2, Kirsten Margrete Selnæs7, Ingerid Skjei Knudtsen1, Thomas Morten Ingmar Keil7, Håkon Johansen7, Tone Frost Bathen1,7, and Mattijs Elschot1,7 | ||
1Derpartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 2PET Imaging Centre, University Hospital of North Norway, Tromsø, Norway, 3PET-Centre, Aarhus University Hospital, Aarhus, Denmark, 4Department of nuclear medicine, Oslo University Hospital, Oslo, Norway, 5The Cancer Clinic, St. Olavs Hospital, Trondheim, Norway, 6Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway, 7Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim, Norway |
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Keywords: Prostate, PET/MR For patients with suspected prostate cancer recurrence, we examined the added value of 18F-PSMA-1007 PET to MR and CT imaging, and whether choice of PET modality, i.e. PET/MR or PET/CT, had an impact on clinical management. An intention-to-treat analysis was performed using findings from MR and CT alone, MR and CT with PET from PET/CT, and MR and CT with PET from PET/MR. Addition of 18F-PSMA PET changed clinical management in over 40% of patients. Differences in clinical management between PET/CT and PET/MR were smaller than adding any PET modality to MR and CT. |
| 0326 | 17:36
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Hyperpolarized 13C Pyruvate + Urea Dual Agent MRI Detects Hypoxia-Driven Metabolism Perfusion Mismatch in Patient w/ Aggressive Prostate Cancer |
| Hsin-Yu Chen1, Ivan de Kouchkovsky2, Hao G. Nguyen2, Bradley A. Stohr2, Daniel Gebrezgiabhier1, Romelyn Delos Santos1, Lucas Carvajal1, Michael A. Ohliger1, Zhen J. Wang1, Hecong Qin1, Xiaoxi Liu1, Jeffry P. Simko2, Jeremy W. Gordon1, Peder E.Z. Larson1, Robert A. Bok1, Rahul Aggarwal2, John Kurhanewicz1, and Daniel B. Vigneron1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Prostate, Cancer The first-in-human hyperpolarized [1-13C]pyruvate+[13C,15N2]urea dual-agent MRI demonstrated the safety and feasibility of simultaneous characterization of prostate cancer metabolism and blood flow as a two-minute addition to the standard 1H-multiparametric MRI. Metabolism-perfusion mismatch (i.e. elevated pyruvate-lactate conversion and decreased urea perfusion) in subregions of the high-grade prostate tumor was in agreement with the histopathological and immunochemical markers that reflected lethal phenotypes and their associated hypoxic tumor microenvironment. Correlative analysis of urea and Gadolinium-derived pharmacokinetic parameters found low correlation between the two, which indicates that HP 13C urea’s unique contrast mechanism offers independent information inaccessible through conventional 1H DCE-MRI. |
| 0327 | 17:44
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Anatomical-aware Siamese Deep Network for Prostate Cancer Detection on Multi-parametric MRI |
| Haoxin Zheng1,2, Miao Qi2,3, Alex Ling Yu Hung1,2, Kai Zhao2, Steven Raman2, and Kyunghyun Sung2 | ||
1Computer Science, University of California, Los Angeles, Los Angeles, CA, United States, 2Radiological Science, University of California, Los Angeles, Los Angeles, CA, United States, 3Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China |
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Keywords: Prostate, Cancer, Machine Learning The study aimed to build a deep-learning-based prostate cancer (PCa) detection model integrating the anatomical priors related to PCa’s zonal appearance difference and asymmetric patterns of PCa. A total of 220 patients with 246 whole-mount histopathology (WMHP) confirmed clinically significant prostate cancer (csPCa), and 432 patients with no indication of lesions on multi-parametric MRI (mpMRI) were included in the study. A proposed 3D Siamese nnUNet with self-designed Zonal Loss was implemented, and results were evaluated using 5-fold cross-validation. The proposed model that is aware of PCa-related anatomical information performed the best on both lesion-level detection and patient-level classification experiments. |
| 0328 | 17:52
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An AI-based Pipeline for Prostate Cancer PI-RADS Reporting on Multiparametric MRI using MiniSegCaps Network |
| Wenting Jiang1, Yingying Lin1, Varut Vardhanabhuti1, and Peng Cao1 | ||
1Department of Diagnostic Radiology, the University of Hong Kong, Hong Kong, Hong Kong |
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Keywords: Multimodal, Cancer Prostate Imaging Reporting and Data System (PI-RADS) on multiparametric MRI (mpMRI) provides fundamental MRI interpretation guidelines but suffers from inter-reader variability. Deep learning networks show great promise in automatic lesion segmentation and classification, which help to ease the burden on radiologists and reduce inter-reader variability. In this study, we proposed a novel multi-branch network, MiniSegCaps, for prostate cancer segmentation and PI-RADS classification on mpMRI, and a graphical user interface (GUI) integrated into the clinical workflow for diagnosis reports generation. Our model achieved the best performance in prostate cancer segmentation and PIRADS classification compared with state-of-the-art methods. |
| 0329 | Pitch: 16:00 Poster: 16:00 Screen 1
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Myocardial Infarction: An Investigation of Mesostructure using Diffusion Tensor Imaging and Voxel-Based Analysis |
| Alexander James Wilson1,2,3, Xiaojian Kang2, Tyler Cork1, Luigi Perotti4, and Daniel Ennis1,2,3 | ||
1Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 2Division of Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Cardiovascular Institute, Stanford University, Stanford, CA, United States, 4Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States |
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Keywords: Myocardium, Diffusion Tensor Imaging Ex vivo DTI was performed in hearts suffering from myocardial infarction. Data was reconstructed using both tensor-based and voxel-based analysis. The fixel number (FN) consistently showed that there was a single fiber population (FN=1) in both infarcted and healthy myocardium. The complexity (CX) indicates the spread and magnitude of diffusion along different directions, but was not significantly different between infarct and healthy regions. The apparent fiber density (AFD) reveals the density of each fiber population within a voxel, and curiously increased in the infarct region, which may indicate the compaction of fiber populations running through the infarct. |
| 0330 | Pitch: 16:00 Poster: 16:00 Screen 2
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Efficient fat suppression in free-running whole-heart CMR using OptiPulse |
| Xavier Sieber1, Ludovica Romanin1,2, Chris W. Roy1, Jessica AM Bastiaansen3,4, Jérôme Yerly1, Jonas Richiardi1, Matthias Stuber1,5, and Ruud B. van Heeswijk1 | ||
1Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 4Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 5Division of Cardiology, CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Keywords: Vessels, RF Pulse Design & Fields The incomplete or time-inefficient suppression of fat signals is an unsolved issue in 3D cardiovascular MR imaging (CMR). We present a flexible framework named OptiPulse to design spectrally-selective radiofrequency (RF) pulses using numerical optimization of Bloch equation simulations. The RF pulse performance was assessed using a composite loss function for both fat suppression and power requirement. OptiPulse was used to design a B-splines-interpolated pulse for use in a free-running 3D whole-heart pulse sequence. Its fat suppression performance was ascertained both in vitro and in vivo, where it resulted in more homogeneous fat suppression when compared to other WE pulses (P<0.01). |
| 0331 | Pitch: 16:00 Poster: 16:00 Screen 3
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Highly accelerated Cardiac CINE MRI using Neural Fields |
| Tabita Catalán1, Matías Courdurier1,2, Axel Osses1,3, René Botnar1,4,5, Francisco Sahli Costabal1,4, and Claudia Prieto1,4 | ||
1Millennium Nucleus For Applied Control And Inverse Problems, Santiago, Chile, 2Department of Mathematics, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Department of Mathematical Engineering, Universidad de Chile, Santiago, Chile, 4School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Image Reconstruction, Heart Neural fields cardiac MRI (NF-cMRI), a method for highly accelerated CINE reconstruction using deep learning, is proposed. NF-cMRI relies on an intensity network, based on neural fields with Fourier features to encode a continuous reconstruction. The network is trained with one undersampled radial k-space data set without the need of a fully-sampled reference image. Good image quality of the heart is achieved with 8 radial spokes/cardiac frame. Results are compared against GRASP. Future work will focus on reducing reconstruction time and evaluating the proposed approach in prospectively undersampled k-space data. |
| 0332 | Pitch: 16:00 Poster: 16:00 Screen 4
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Free-breathing mapping of stress/rest myocardial T1 reactivity with Ferumoxytol-enhanced imaging using a widely available sequence |
| Hazar Benan Unal1, Shahriar Zeynali1, Subha Raman2, Balaji Tamarappoo2, Rohan Dharmakumar2, and Behzad Sharif1,2 | ||
1Laboratory for Translational Imaging of Microcirculation, Indiana University School of Medicine, Indianapolis, IN, United States, 2Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN, United States |
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Keywords: Myocardium, Ischemia, dobutamine Myocardial T1 reactivity, defined as the relative T1 change from rest to stress, has been proposed as a marker for detection of ischemic heart disease. Commonly used MOLLI T1 mapping is sensitive to B0 field inhomogeneities and can have susceptibility/banding artifacts because of bSSFP readouts, especially at 3T. In this study, we investigated the feasibility of free-breathing SR-FLASH T1 mapping for ferumoxytol-enhanced (FE) dobutamine-stress T1 reactivity studies at 3T in preclinical settings. We showed the feasibility of using a widely available perfusion sequence for T1 reactivity studies under Ferumoxytol-enhancement. |
| 0333 | Pitch: 16:00 Poster: 16:00 Screen 5
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Diffusion dispersion mapping of ischemic lesions in the ex vivo porcine heart |
| Eric S. Michael1, Claire A. Dick1, Franciszek Hennel1, Christian T. Stoeck1,2, and Klaas P. Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Center for Surgical Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland |
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Keywords: Heart, Ischemia Diffusion dispersion mapping is a recently proposed method for probing tissue microstructure and quantifying microstructural disorder based on differences in the impact of diffusion restrictions over different length scales. In this work, this method was employed in the ex vivo heart to investigate the utility of diffusion dispersion in identifying and characterizing ischemic tissue. Our results show that ischemic cardiac lesions exhibit reduced diffusion dispersion rates, in agreement with known microstructural changes, and can be differentiated with respect to surrounding tissue. These findings demonstrate that microstructure-sensitive contrast offers a novel avenue for probing and characterizing cardiac pathologies. |
| 0334 | Pitch: 16:00 Poster: 16:00 Screen 6
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Cardiac structure discontinuities revealed by ex-vivo microstructural characterization on the Basal Inferoseptal Left Ventricle region. |
| Pierre CABANIS1,2, Julie MAGAT1,2, Jairo RODRIGUEZ-PADILLA3, Girish RAMLUGUN2, Maxime YON2, Yann BIHANPOUDEC4, Nestor PALLARES-LUPON2, Fanny VAILLANT2, Philippe PASDOIS2, Pierre JAIS2,5, Pierre DOS-SANTOS2,5, Marion CONSTANTIN2, David BENOIST2, Line POURTAU2, Virginie DUBES2, Julien ROGIER2,5, Louis LABROUSSE2,5, Michel HAISSAGUERRE2,5, Olivier BERNUS2, Bruno QUESSON1,2, Richard WALTON2, Josselin DUCHATEAU2,5, Edward VIGMOND2, and Valéry OZENNE1,2 | ||
1Univ. Bordeaux, CNRS, CRMSB, UMR 5536, Bordeaux, France, 2Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France, 3Inria Epione Team, Université Côte d'Azur, Biot, France, 4Centre de Neuroscience Cognitive, CNRS, Université Claude Bernard Lyon I, Villeurbanne, France, 5Cardiology Departement, Bordeaux University Hospital (CHU), Pessac, France |
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Keywords: Myocardium, Microstructure, Fiber The knowledge of the cardiac microstructure and the 3D myofiber architecture grow years after years with the multiplication and the upgrade of imaging technologies. However, the course of events of pathophysiological processes like cardiac remodeling, and the link with clinical phenotypes are not yet clearly understood. Some concerns have been raised regarding the interpretation of the late gadolinium enhancement (LGE) at the right ventricle attachment or insertion point (RVIP) however 3D microstructure organization of the RVIP has not been extensively described in the literature. |
| 0335 | Pitch: 16:00 Poster: 16:00 Screen 7
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3-Dimensional DANTE-prepared sequence with non-rigid motion-correction for high-resolution dark-blood aortic imaging |
| Anastasia Fotaki1, Camila Munoz1, Alina Hua1, Karl P Kunze1,2, Radhouene Neji1,2, Tevfik F Ismail1, Rene M Botnar1,3,4,5, and Claudia Prieto1,3,4,5 | ||
1Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 5School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Vessels, New Signal Preparation Schemes, Pulse Sequence Design Dark-blood imaging is an important tool for vascular imaging in cardiovascular disease. A novel free-breathing water/fat DANTE-prepared sequence is introduced for 3D dark-blood imaging of the thoracic and abdominal aorta. The framework integrates image navigation to enable translational and non-rigid motion correction resulting in a predictable scan time along with dual-echo Dixon gradient-echo readout for robust fat suppression. Results from healthy subjects and patients demonstrate the feasibility of the sequence for high-resolution, aortic imaging in ~7-minute acquisition time. |
| 0336 | Pitch: 16:00 Poster: 16:00 Screen 8
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Joint cardiac tissue velocity and diffusion tensor mapping |
| Jonathan Weine1, Stefano Buoso1, Charles McGrath1, and Sebastian Kozerke1 | ||
1University and ETH Zurich, Zurich, Switzerland |
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Keywords: Heart, Diffusion Tensor Imaging Myocardial strains and microstructure are considered important indicators of muscle contractility and function, which can be investigated with cardiac diffusion tensor imaging (cDTI) and tissue-velocity mapping. In this work we perform simulations incorporating contractile motion and model based diffusion contrast to investigate jointly encoding the information by modifying existing cDTI protocols. Key characteristics of the results agree with practical findings and suggest sufficient estimation accuracy for velocities and diffusion tensors. |
| 0337 | Pitch: 16:00 Poster: 16:00 Screen 9
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Referenceless Nyquist Ghost Correction Outperforms Standard Navigator Based Method for DT-CMR |
| Zimu Huo1,2, Ke Wen1, Yaqing Luo1, Pedro F Ferreira1, Radhouene Neji3,4, Dudley Pennell1, Andrew D Scott1, and Sonia Nielles-Vallespin1 | ||
1CMR Unit, Royal Brompton Hospital and NHLI, Imperial college London, London, United Kingdom, 2Department of Bioengineering, Imperial College London, London, United Kingdom, 3School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Keywords: Myocardium, Diffusion Tensor Imaging Nyquist ghosting is a common artefact in echo planar imaging (EPI), typically corrected using separately acquired reference data. Here we demonstrate that reference free Nyquist ghost correction algorithms based on entropy and Ghost/Object ratio minimization can outperform navigator based methods and improve imaging efficiency for in vivo diffusion tensor cardiovascular magnetic resonance. |
| 0338 | Pitch: 16:00 Poster: 16:00 Screen 10
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Combination of irregular pulsation and aneurysm wall enhancement improved the diagnostic efficiency of symptomatic intracranial aneurysm |
| Xiao Li1, Jianjian Zhang1, Huilin Zhao1, and Chengcheng Zhu2 | ||
1Ren ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China, 2University of Washington, Seattle, WA, United States |
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Keywords: Vessels, Vessels Both aneurysm wall enhancement (AWE) and irregular pulsation have been suggested as potential candidates for intracranial aneurysms (IAs) instability. However, no studies have compared irregular pulsation and AWE for evaluation symptoms in unruptured IAs. By using vessel wall MRI and four-dimensional computed tomography angiography, we found combination of aneurysm wall enhancement and irregular pulsation improve the diagnostic efficiency of symptomatic intracranial aneurysm compared with irregular pulsation or AWE alone. Further longitudinal studies are needed to validate the role of the two imaging markers in predicting aneurysm growth and rupture. |
| 0339 | Pitch: 16:00 Poster: 16:00 Screen 11
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Highly-Accelerated High-Frame-Rate Cine for Exercise Cardiac MRI |
| Manuel Morales1, Manuel A Morales1, Siyeop Yoon1, Jennifer Rodriguez1, Warren J Manning1, and Reza Nezafat1 | ||
1BIDMC, Boston, MA, United States |
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Keywords: Heart, Machine Learning/Artificial Intelligence Combined cardiac MRI with exercise (Ex-CMR) is a stress test with promising applications. However, standard ECG-segmented cine imaging during exercise is challenging. Free-breathing ECG-free real time cine can be achieved with compressed sensing. Yet tradeoff remains between temporal and spatial temporal resolution. Thus, we sought to develop a highly accelerated high-frame-rate cine for Ex-CMR by accelerating spatial resolution using Resolution Enhancement Generative Adversarial Inline Network (REGAIN), followed by synthesizing new frames using Deformation ENcoding Transformer (DENT). REGAIN enabled 14-fold scan acceleration, DENT enabled 2-fold improvement in temporal resolution. We achieved spatiotemporal resolution of 1.9 × 1.9 mm2 and 16 ms. |
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Joint cardiac $$$T_1$$$ mapping and cardiac cine using a deep manifold framework |
| Qing Zou1, Sarv Priya2, Prashant Nagpal3, and Mathews Jacob2 | ||
1University of Texas Southwestern Medical Center, Dallas, TX, United States, 2University of Iowa, Iowa City, IA, United States, 3University of Wisconsin–Madison, Madison, WI, United States |
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Keywords: Heart, Machine Learning/Artificial Intelligence, Reconstruction The main focus of this work is to introduce a deep generative model for simultaneous free-breathing cardiac $$$T_1$$$ mapping and CINE MRI. The data is acquired by a gradient echo inversion recovery sequence with intermittent delays for magnetization recovery. The joint reconstruction of the image time-series is performed using a patient-specific deep manifold reconstruction algorithm which learns a CNN generative model and its latent vectors from the measured k-t space data in an unsupervised fashion. Following learning, the model can be used to generate synthetic images at specific motion and contrast states. |
| 0341 | Pitch: 16:00 Poster: 16:00 Screen 13
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High on Sparsity: Inter-Bin Compensation of Cardiac Motion for Improved Assessment of Left Ventricular Function Using 5D whole-heart MRI |
| Jérôme Yerly 1,2, Christopher W Roy1, Milan Prsa3, Bastien Milani1, and Matthias Stuber1,2 | ||
1Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland, 2Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland |
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Keywords: Heart, Image Reconstruction The reconstruction of 5D cardiac and respiratory motion-resolved images with the free-running framework (FRF) requires careful optimization of the regularization weights to avoid compression of physiological motion, which in turn may lead to underestimated left ventricular ejection fraction (LVEF). This study presents a novel cardiac and respiratory motion-resolved reconstruction with inter-bin compensation of cardiac motion. We demonstrate that the proposed framework significantly improves image quality while preserving accurate LVEF when compared to the original 5D framework. This work highlights important considerations when reconstructing cardiac resolved images without compensation and provides a robust approach for the assessment of LVEF. |
| 0342 | Pitch: 16:00 Poster: 16:00 Screen 14
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Characterize right ventricle deformation pattern in pulmonary arterial hypertension using layer-specific strain cardiovascular MRI |
| Wen Li1, Xianchang Zhang2, Jing An3, Jens Wetzl4, Qing Gu5, and Jianguo He6 | ||
1State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China, 3Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 4Magnetic Resonance, Siemens Healthcare, Erlangen, Germany, 5Emergency Center, State Key Laboratory of Cardiovascular Disease, Key Laboratory of Pulmonary Vascular Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 6Center of Pulmonary Vascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China |
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Keywords: Myocardium, Rare disease, Strain, right ventricle This is the first study to describe the distribution pattern of right ventricular layer-specific strain/strain rate in pulmonary arterial hypertension patients by processing cine cardiovascular MR images using a deformation registration algorithm based strain analysis software. |
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Diagnostic pearls and potential pitfalls of free-breathing motion-corrected LGE: a prospective head-to-head comparative study |
| Hui Zhou1, Jing Luo1, Huiting Zhang2, and Xiaoming Bi3 | ||
1Department of Radiology, Xiangya Hospital Central South University, Changsha, China, 2Scientific Marketing, Siemens Healthineers Ltd., Wuhan, China, 3MR Collabration, Siemens Healthineers, Los Angeles, CA, United States |
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Keywords: Cardiomyopathy, Myocardium, Late gadolinium enhancement This study investigated the advantages and potential disadvantages of the MOCO-LGE sequence. The results showed that MOCO-LGE can effectively improve the image quality compared to BH-LGE. Meanwhile, the MOCO-LGE images could overestimate epicardial hyperenhancement and pericardial effusion, which might lead to overdiagnosis of myocarditis in clinical work. The study indicates that further refinement of this useful sequence may be needed. |
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Time-dependent Diffusion in the Human Heart In Vivo |
| Irvin Teh1, Sam Coveney1, Richard J. Foster1, Filip Szczepankiewicz2, Samo Lasič3,4, Henrik Lundell3, David Shelley5, Lars Mueller1, Maryam Afzali1,6, Noor Sharrack1, Nadira Y. Yuldasheva1, Sven Plein1, Erica Dall'Armellina1, and Jürgen E. Schneider1 | ||
1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 2Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden, 3Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 4Random Walk Imaging, Lund, Sweden, 5Leeds Teaching Hospitals Trust, Leeds, United Kingdom, 6Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom |
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Keywords: Myocardium, Diffusion Tensor Imaging, Time dependence, microstructure, motion compensation Conventional spin-echo based cardiac diffusion tensor imaging (DTI) has a relatively limited range of encoding frequencies, and hence limited sensitivity to diffusion at different length scales. Here, we explored the feasibility of applying a broader range of frequencies to evaluate the effects of time-dependent diffusion. We employed diffusion encoding waveforms with up to 4th order motion-compensation in a cohort of healthy volunteers, and report trends of decreasing MD and FA with increasing encoding frequencies. The availability of higher frequencies enhances the sensitivity of DTI to shorter length scales, and may be more greatly weighted towards diffusion properties of sub-cellular structures. |
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Simplified Protocol with mSAVA for 3D Imaging of T1, T2, Extracellular Volume, Bright-Blood and Dark-Blood Late Gadolinium Enhancement |
| Dongyue Si1, Lan Cheng2,3, Xiangchuang Kong2,3, Rui Guo4, Daniel A. Herzka5, and Haiyan Ding1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 3Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China, 4School of Medical Technology, Beijing Institute of Technology, Beijing, China, 5Department of Radiology, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Cardiomyopathy, Tissue Characterization Multi-parametric SAturation recovery and Variable flip Angle (mSAVA) acquires four 3D volumes with different T1 and T2 weightings during free-breathing to simultaneously generate whole heart T1 and T2 parametric maps. We proposed a fast and simple CMR protocol using pre- and post-contrast mSAVA acquisitions to additionally generate ECV maps, and bright-blood and dark-blood LGE images. mSAVA could comprehensively assess the myocardium over the whole heart within ~6+6 min in a cohort of twenty patients. |
| 0346 | Pitch: 16:00 Poster: 16:00 Screen 18
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DeepFittingNet: a deep neural network-based approach for simplifying cardiac T1 and T2 estimation with improved robustness |
| Rui Guo1, Dongyue Si2, Yingwei Fan1, Haina Zhang3, Haiying Ding2, and Xiaoying Tang4 | ||
1School of Medical Technology, Beijing Institute of Technology, Beijing, China, 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 3Center for Community Health Service, Peking University Health Science Center, Beijing, China, 4School of Life Science, Beijing Institute of Technology, Beijing, China |
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Keywords: Myocardium, Machine Learning/Artificial Intelligence, Cardiac T1 and T2 mapping, myocardium tissue characterization The most used curve-fitting method for map reconstruction of the cardiovascular magnetic resonance mapping is sensitive to the initial conditions, time-consuming, and prone to fitting error. In this study, we sought to develop a deep-learning approach (DeepFittingNet) to perform T1 and T2 calculations for the most clinically used cardiac parametric mappings, to simplify the clinical workflow of cardiac T1/T2 measurements and improve the robustness. In testing, DeepFittingNet could perform T1/T2 estimation tasks for MOLLI, SASHA, and T2-prep bSSFP. Compared to the curve-fitting algorithm, DeepFittingNet could improve the robustness for inversion-recovery T1 estimation and have comparable accuracy and precision. |
| 0347 | Pitch: 16:00 Poster: 16:00 Screen 21
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Comparison of dynamic B0 mapping approaches at 7T – AI-based prediction via U-net vs measurement via dual-echo EPI navigator |
| Stanislav Motyka1, Paul Weiser2, Bernhard Strasser1, Dario Goranovic1, Lukas Hingerl1, Gilbert Hangel1,3, Eva Niess1, Stephan Wampl4, Fabian Niess1, Simon Robinson1, Georg Langs2, Siegfried Trattnig1, and Wolfgang Bogner5 | ||
1High Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 4High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 5Medical University of Vienna, Vienna, Austria |
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Keywords: Motion Correction, Brain The abstract compares two approaches to dynamically estimate B0 maps at 7T. The U-net predicts B0 maps based on the initial B0 map and the movement information. The dual-echo EPI-based navigator directly measures B0 maps. Both methods yield comparable results. However, the deep learning approach could overcome the major disadvantage of the EPI-based navigator, thus the need for the dead time in the parent sequence, if the motion can be mapped externally. |
| 0348 | Pitch: 16:00 Poster: 16:00 Screen 22
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Comparison of k-space center, FID and Pilot Tone navigators in abdominal motion tracking for optimal XD-GRASP reconstruction |
| Cemre Ariyurek1, Tess E. Wallace1, Tobias Kober2,3,4, Sila Kurugol1, and Onur Afacan1 | ||
1Quantitative Intelligent Imaging Lab (QUIN), Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Keywords: Motion Correction, Body Abdominal MRI scans often require breath-holding to prevent image quality degradation, which can be challenging for patients. XD-GRASP enables generation of motion-robust images for free-breathing abdominal MRI by binning the data into respiratory phases. In this study, we compared three navigation techniques, namely k-space center, free induction decay navigators (FIDnavs) and pilot tone (PT), for XD-GRASP reconstruction. FIDnavs and PT have advantages over k-space center navigation since they are insensitive to gradient delays, independent of the imaging plane and acquired more frequently. The image quality ranking means (1=best,2=moderate,3=worst) were 1.4, 1.6 and 2 for FIDnavs, PT and k-space center, respectively. |
| 0349 | Pitch: 16:00 Poster: 16:00 Screen 23
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Super-resolution algorithms for simultaneous 1H MRF/23Na MRI: Comparison between U-Net, PLS-regression, and hybrid methods |
| Gonzalo Gabriel Rodriguez1, Hector Lise de Moura1, Lauren O'Donnell1, Ravinder Regatte1,2, and Guillaume Madelin1,2 | ||
1Center for Biomedical Imaging, Radiology Department, NYU School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Langone Health, New York, NY, United States |
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Keywords: Data Processing, Non-Proton, Super-Resolution We compared three algorithms to generate a high-resolution (HR) 23Na image from simultaneously-acquired low-resolution (HR) 23Na density-weighted MRI and HR 1H density, T1 and T2 maps from MRF in brain at 7 T: U-net, PLS-regression, and hybrid. The multi-scale structural similarity index between generated HR 23Na images and HR ground truth was higher than 0.95 for the three methods. Overall, the hybrid method showed better results, generating the sharpest HR image while keeping the highest similarity between the acquired and generated LR images. |
| 0350 | Pitch: 16:00 Poster: 16:00 Screen 24
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Retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast |
| Gabrio Rizzuti1, Tim Schakel1, Niek Huttinga1, Tristan van Leeuwen2, and Alessandro Sbrizzi1 | ||
1Universitair Medisch Centrum Utrecht, Utrecht, Netherlands, 2Centrum Wiskunde & Informatica, Amsterdam, Netherlands |
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Keywords: Motion Correction, Brain, brain, clinical protocols, motion correction, retrospective correction We discuss the application of a novel 3D retrospective rigid motion correction and reconstruction scheme to in-vivo data for clinical 3D brain protocols. The correction scheme leverages multiple scans contained in a typical MR session, of which some are corrupted by motion but at least one scan may be devoid of motion artifacts. The uncorrupted scan is then used as a reference to regularize a generalized rigid-motion registration problem. We discuss the potential of the proposed algorithm with a prospective in-vivo study. |
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Stacked UNet-Assisted Joint Estimation for Robust 3D Motion Correction |
| Brian Nghiem1,2, Zhe Wu2, Lars Kasper2, and Kâmil Uludağ1,2 | ||
1Dpt. of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2University Health Network, Toronto, ON, Canada |
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Keywords: Motion Correction, Motion Correction We showed that accurate 3D retrospective motion correction of T1w MPRAGE data can be achieved with a UNet-assisted joint estimation algorithm. We compared the proposed method to using the UNet on its own and the standard joint estimation algorithm. Joint estimation (with and without the UNet) outperformed using the stand-alone UNet. The UNet-assisted joint estimation algorithm converged faster than its UNet-free counterpart. We demonstrated the importance of adapting to the changing levels of artifacts over the course of the joint estimation algorithm by sequentially employing different UNets trained for correcting different levels of motion corruption. |
| 0352 | Pitch: 16:00 Poster: 16:00 Screen 26
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Motion Correction in Brain MRI using Deep Image Prior |
| Jongyeon Lee1, Wonil Lee1, and HyunWook Park1 | ||
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
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Keywords: Motion Correction, Motion Correction, Brain Motion Correction Motion correction in MRI has been successful with deep learning techniques to reduce motion artifacts. However, these methods were based on supervised learning, which have required a large dataset to train neural networks. To overcome this issue, we propose a new technique to correct motion artifacts without any training dataset, which optimizes a neural network only with a single motion-corrupted image. We adopt Deep Image Prior framework to capture image priors from a convolutional neural network using motion simulation based on MR physics. Using the deep image prior, our method finely reduces motion artifacts without any dataset. |
| 0353 | Pitch: 16:00 Poster: 16:00 Screen 27
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Motion-corrected multi-shot EPI: Viable alternative to GRE for blood sensitive imaging with improved image quality and reduced scan time |
| Zhiqiang Li1, James Murchison1, Dori Shoshan1, Melvyn B Ooi2, and John P Karis1 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Philips Healthcare, Houston, TX, United States |
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Keywords: Motion Correction, Motion Correction, artifact, rapid scan, clinical study, high value A motion-corrected 2D multi-shot EPI (msEPI) technique was compared to conventional 2D GRE to determine if it can be used as a faster technique for blood sensitive imaging in the emergency department (ED) setting. msEPI was found to be superior to GRE (p < 0.001) in motion artifact, overall image quality, and lesion detection. These results and reduced scan time make the motion-corrected 2D msEPI a viable alternative for blood sensitive imaging in the ED setting. |
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WITHDRAWN |
| 0355 | Pitch: 16:00 Poster: 16:00 Screen 29
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Automatic segmentation of the interscapular BAT in rats by the dynamic magnetic resonance fat fraction images |
| Chuanli Cheng1, Lei Zhang2, Hao Peng1, Hairong Zheng1, Xin Liu1, Huimao Zhang2, and Chao Zou1 | ||
1Shenzhen institutes of advanced technology, Chinese Academy of Sciences, Shenzhen, China, 2Radiology Department, Bethune First Hospital of Jilin University, Changchun, China |
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Keywords: Segmentation, Fat, brown adipose tissue The noninvasive assessment of BAT volume is fundamental for characterizing the longitudinal effects in rodents. In this work, dynamic fat fraction images of 34 rats fed under different conditions were acquired before and after noradrenaline injection for 2.5 hours. The iBAT regions were recognized and labelled automatically by identifying the regions with significant changes in FF images. Then a deep learning network was built up by training the FF images and the automatically identified mask images in all rats. The dice similarity coefficient, precision rate and recall rate of the network were found to be 0.897±0.061, 0.901±0.068 and 0.889±0.086, respectively. |
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Multi-echo functional MRS Glutamate measurements in visual cortex at 3T |
| Polina Emeliyanova1,2, Laura M. Parkes1,2, Stephen R. Williams3, and Caroline Lea-Carnall1,2 | ||
1Division of psychology, communication and human neuroscience, Faculty of biology, medicine and health, University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Manchester, United Kingdom, 3Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, United Kingdom |
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Keywords: Data Acquisition, Spectroscopy, Functional MRS, multi-echo MRS, 3T, glutamate, creatine (Cr), N-Asetyl-Aspartate (NAA) fMRS studies have shown dynamic change in glutamate (Glu) concentrations during visual stimulation. Here, we examine the effect of TE from 9.3-280ms on the signal during fMRS acquisition and whether T2 relaxation parameters change during a visual task compared to rest. We observed a short Glu T2-compartment between 2.5-4.5ms arising from 48% (rest) and 16% (active) of the total signal with significant increase in Glu signal at TE =140ms during stimulation. These preliminary results indicate bi-exponential decay of Glu in the visual cortex at 3T encouraging future work with more robust fMRS paradigms. |
| 0357 | Pitch: 16:00 Poster: 16:00 Screen 31
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In vivo Whole-brain Downfield Metabolites Mapping using 2π-CASP-EPSI at 7T |
| Guodong Weng1,2, Piotr Radojewski1,2, Federico Turco1,2, and Johannes Slotboom1,2 | ||
1Support Center for Advanced Neuroimaging (SCAN), University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland |
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Keywords: Pulse Sequence Design, Spectroscopy, Downfield MRSI Many interesting metabolites, for instance adenosine triphosphate (ATP), glutathione (GSH) and homocarnosine (hCs), have resonances in the downfield range (>4.7 ppm) in 1H-MRS. Previous studies have studied the downfield spectra of metabolites in human brain using single-voxel spectroscopy (SVS) and, most recently, 2D one-slice MRSI. The study presents a 3D whole brain mapping sequence suited for downfield metabolites which does not require water suppression pulses. |
| 0358 | Pitch: 16:00 Poster: 16:00 Screen 32
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J-difference Editing of Lactate and Threonine in the Human Brain at 3T |
| Ryan K Robison1,2,3, Justin R Haynes2,3, Sandeep Ganji4,5, Wellington Pham2,3, Seth A Smith2,3, Victoria L Morgan2,3, Reid C Thompson6, Reed A Omary3, John C Gore2,3, and Changho Choi2,3 | ||
1Philips, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Philips, Rochester, MN, United States, 5Mayo Clinic, Rochester, MN, United States, 6Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Data Acquisition, Spectroscopy Lactate is important as a source of energy and a product of metabolism, so the capability to measure lactate accurately and noninvasively by MRS is of high value. We report a new lactate editing approach that enables detection of the lactate 1.3 ppm resonance with minimal contaminations from threonine and other compounds. Narrow-band editing 180° RF pulses were implemented in 1H MR MEGA-PRESS and the sequence was optimized with numerical and phantom analyses. With data from six healthy adult subjects, the lactate and threonine concentrations in healthy brain were estimated to be 0.5±0.1 and 1.0±0.1 mM, respectively. |
| 0359 | Pitch: 16:00 Poster: 16:00 Screen 33
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IVIM-DWI for the preoperative prediction of perineural invasion status in rectal cancer: A feasibility study with multivariate model analysis |
| Jia Yuping1 and Dou Weiqiang2 | ||
1Lixia District, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Data Analysis, Cancer This study aimed to determine the clinical potential of intravoxel incoherent motion (IVIM) DWI in predicting perineural invasion (PNI) of rectal cancer (RC). IVIM parameters derived from different mathematical models, including apparent diffusion coefficient from mono-exponential model, true diffusion coefficientand and perfusion fraction from bi-exponential model, and the distributed diffusion coefficient from stretched-exponential model showed significant differences between 72 with PNI and 76 without PNI. With these findings, IVIM may thus be considered effective in preoperatively predicting PNI status in RC and further help clinicians make individual treatment plans. |
| 0360 | Pitch: 16:00 Poster: 16:00 Screen 34
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Temperature Mapping Based on Chemical Exchange Saturation Transfer of Creatine |
| Siqi Cai1,2, Yang Zhou1, Chao Zou1, Linhai Jiang3, Qian Wan1, Chunxiang Jiang1, Changjun Tie1, and Lijuan Zhang1,2 | ||
1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Science, Beijing, China, 3The Instrumental Analysis Center of Shenzhen University, Shenzhen University, Shenzhen, China |
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Keywords: Data Analysis, CEST & MT Chemical exchange between endogenous labile guanidinium (Guan) protons of creatine and free water and its thermal dependency were investigated with CEST imaging. The apparent offsets of Cr-CEST were linearly correlated to the experiment temperatures and was relatively insensitive to Cr concentration and pH variations at a range corresponding to physiological and pathological conditions, suggesting a potential utility of Cr-CEST for in vivo thermometry based on endogeneous creatine of the biological tissue. |
| 0361 | Pitch: 16:00 Poster: 16:00 Screen 35
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Respiratory controlled ECG-free cine construction from real-time cardiac magnetic resonance images acquired during free-breathing exercise |
| Julius Åkesson1, Katarina Steding-Ehrenborg1, Johannes Töger1, Björn Östenson1, Pia Sjöberg1, and Einar Heiberg1 | ||
1Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund University, Lund, Sweden |
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Keywords: Data Processing, Software Tools, Exercise, real-time This study aimed to enable ECG-free construction of respiratory controlled 3D cardiac magnetic resonance cine series from short-axis 2D real-time images through automated detection of cardiac phases. This is important for imaging during exercise, since obtaining a reliable ECG-signal can be difficult. Visually coherent cines could be constructed for midventricular slice positions through detecting cardiac phases from automated left ventricular segmentations in real-time timeframes, but not for apical and basal slice positions. Deep learning-based regression of cardiac phases directly from images was investigated to handle this problem, but apical and basal cine construction remains an open problem. |
| 0362 | Pitch: 16:00 Poster: 16:00 Screen 36
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Effects of myelin structures on R2 values in the aged rat corpus callosum |
| Hwapyeong Cho1 and Hyung Joon Cho1 | ||
1Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of |
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Keywords: Data Analysis, Relaxometry, Myelin, Magnetic field perturbation In this study, the effects of myelin structures such as myelin volume fraction (MVF) and myelin sheath thickness (MST) were investigated by measuring the intra/extracellular water signals in post-mortem aging rat brains. R2 values calculated by intra/extracellular water signals obtained using Carr-Purcell-Meiboom-Gill (CPMG) sequence are theoretically verified by comparison with transmission electron microscopy (TEM) and simulation results. It was confirmed that MVF affects the increase of R2 and MST affects the decrease of R2, and the analysis of R2 through this relationship was statistically significant. These results suggest that effects of myelin structures may affect CPMG-based intra/extracellular water signals. |
| 0363 | Pitch: 16:00 Poster: 16:00 Screen 37
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A 3D Fast Multiphase DENSE MRE Sequence with Stack-of-Star Radial Sampling, Interleaved Multi-Slab Acquisition and Hadamard Encoding |
| Yu Chen1, Runke Wang1, Ruokun Li2, Fuhua Yan2, and Yuan Feng1,2,3 | ||
1Shanghai JiaoTong University, School of Biomedical Engineering, Shanghai, China, 2Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 3Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Elastography, Brain Conventional gradient echo (GRE) based Magnetic Resonance Elastography (MRE) suffers from long TE and scan time at low mechanical excitation (<25Hz). Displacement Encoding with a Stimulated Echo (DENSE) can record displacement with short TR, useful for low-frequency excitation. Here, 3D excitation was used to compensate for potential signal loss. A multiphase acquisition scheme with stack-of-star radial sampling was also used along with interleaved multi-slab acquisition and Hadamard encoding for MRE acceleration. Phantom experiments were conducted for validation. 32 slices brain MRE scan at 20Hz can be achieved in 11min30s, 5 folds faster than conventional GRE-based MRE. |
| 0364 | Pitch: 16:00 Poster: 16:00 Screen 38
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Detecting bladder and pelvic floor motion during MRI using a small ultrasound-based sensor |
| Radhika Tibrewala1, Mahesh Keerthivasan1,2, Mary Bruno3, Christopher Collins1, Bruno Madore4, and Daniel K Sodickson1 | ||
1Center for Advanced Imaging Innovation and Research, NYU Grossman School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA, New York, NY, United States, 3NYU Grossman School of Medicine, New York, NY, United States, 4Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States |
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Keywords: Motion Correction, Hybrid & Novel Systems Technology Deep-seated motion due to digestion and bladder filling can be difficult to monitor during MR acquisition. In this study, we use a small ultrasound-based sensor to detect bladder and pelvic floor motion, with a real-time MRI acquisition and a pilot-tone motion-sensitive signal as a reference. A neural network is used to predict the bladder area at various times during the MRI scan by using the US signal features. Our results indicate that the correlations between the ultrasound sensor and the MRI are beneficial for detecting bladder motion over time. |
| 0365 | Pitch: 16:00 Poster: 16:00 Screen 39
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Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) MPRAGE for Visual Grading and Volumetric Measurement of Brain Tissue |
| Nelson Homero Gil1, Wei-Ching Lo2, Bryan Clifford2, Min Lang1, Komal Awan1, Daniel Nicolas Splitthoff3, Daniel Polak3, Stephen Cauley1, and Susie Huang1 | ||
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Siemens Medical Solutions USA, Boston, MA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Motion Correction, Neurodegeneration Volumetric brain MRI using the T1-weighted-MPRAGE sequence is an important component of the clinical evaluation of dementia. However, MPRAGE has a long acquisition time and is especially prone to patient motion artifact. A recent development to address this issue is a technique called Scout Accelerated Motion Estimation and Reduction (SAMER). In this work, we used a set of 90 MPRAGE scans derived from 10 healthy volunteers to demonstrate that SAMER is effective at correcting various degrees of motion, including severe motion with non-diagnostic image quality, and greatly increases the accuracy of volumetric brain measurements. |
| 0366 | Pitch: 16:00 Poster: 16:00 Screen 40
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3D MR Fingerprinting with Fat-navigator-based Motion Correction for Pediatric Imaging |
| Siyuan Hu1, Yong Chen1, Mark Griswold1, and Dan Ma1 | ||
1Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Motion Correction, MR Fingerprinting MR Fingerprinting (MRF) simultaneously measures multiple tissue properties within a single scan. Although 2D MRF has been shown to be less sensitivie to motion than conventional imaging, bulk motion is still problematic for longer 3D MR Fingerprinting scans. We propose to integrate 3D fat navigators with 3D MRF acquisitions for motion correction in neuroimaging, especially for non-sedated pediatric imaging. The proposed method was validated in in vivo scans of healthy subjects with various types of motions and in non-sedated infants. We showed that the fat-navigated 3D MRF framework could resolve and correct bulk motions of both healthy volunteers and infants. |
| 7:00 | Imaging Immune-Mediated Lesions in Neuroinflammatory Diseases |
| Cornelius Faber |
| 7:30 | MRI in Autoimmune Diseases |
| Seth Smith |
| 7:00 | Whole-Body MRI: A Technique Primer |
| Jessica Winfield |
| 7:20 | PET/MRI as a MR scanner with PET: A Guide to Sequences and Tracers for Comprehensive Whole-body Imaging in Oncology |
| Satoru Takahashi |
| 7:40 | Whole-Body PET/MRI: Clinical Applications |
| Jonathan McConathy |
| 7:00 | Electromagnetic Properties: Susceptibility: QSM vs. SWI Pros & Cons |
| Xu Li |
| 7:30 | Electromagnetic Properties: Conductivity - EPT Overview |
| Stefano Mandija |
| 7:00 | Fat & Water Imaging: Technical Advances |
| Timothy Bray |
| 7:30 | Fat & Water Imaging: Clinical Applications |
| Patrick Omoumi |
| 7:00 | Systematic & Physiological Noise in fMRI |
| João Jorge |
| 7:30 | Acquisition Approaches to Characterize Noise |
| Jonathan Power |
| 7:00 | Creating a Productive & Happy Lab Environment |
| Hanzhang Lu |
| 7:30 | Practicalities of Cross-Institution & Cross-Country Collaborations |
| Leticia Rittner |
| 7:00 | Mapping Multiple Parameters: Traditional Acquisitions |
| Sebastian Weingärtner |
| 7:30 | Multiparametric Mapping: Advanced Acquisitions |
| Xianglun Mao |
| 7:00 | Echoplanar Imaging: Acquisition |
| Christopher Nguyen |
| 7:30 | Echoplanar Imaging: Corrections |
| Nadine Graedel |
8:15
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ISMRM 2022 Challenge – Introduction | |
| Steven Sourbron | ||
8:25
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ISMRM 2022-2023 Challenge: Repeat It With Me: Reproducibility Team Challenge | |
| Laura Bortolotti | ||
8:35
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Teams Present Their Results | |
| Maria Eugenia Caligiura | ||
8:55
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Conclusion of 2023 Challenge | |
| Sophie Schauman | ||
9:05
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Opening of 2024 submissions & Winner Announcements | |
| Laura Bortolotti | ||
9:10
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Q&A, discussion |
9:20
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ISMRM 2023-25 Challenge: Proposal for a New challenge | |
| Nivedita Agarwal 1, Brian Hargreaves2 | ||
| I.R.C.C.S. Eugenio Medea1, Stanford University2 | ||
9:50
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Discussion and call for Member Initiated Challenges | |
| Brian Hargreaves1, Kei Yamada2 | ||
| Stanford University1, Kyoto Prefectural Univ. of Medicine2 | ||
8:15
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Imaging Markers of Neuroinflammation | |
| Toshiaki Taoka1 | ||
1Department of Innovative Biomedical Visualization (iBMV), Nagoya University, Nagoya, Japan |
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Keywords: Neuro: Nervous system Neuroinflammation, an immune response in the central nervous system, affects neuronal function. By using neuroimaging techniques such as SPECT, PET, and MRI, markers of neuroinflammation such as microglia activation, blood-brain barrier disruption, and interstitial fluid dynamics can be detected and monitored. These imaging markers are useful in diagnosing and tracking the progression of diseases such as multiple sclerosis, Alzheimer's, and Parkinson's disease. |
8:35
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Going Multiparametric: Fusing It All Together | |
| Tobias Kober1 | ||
1Siemens Healthineers International AG, Switzerland |
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Keywords: Neuro: Brain, Image acquisition: Quantification This talk will try to introduce different perspectives of "fusing" multiparametric data in order to learn more about neuroinflammation. To do so, we will discuss about the concept of qMRI atlases as well as digital twinning illustrated by some real life examples. In the end, a set of hopefully useful ingredients of MRI-based "fusion kitchen" is given. |
8:55
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Integrating Multiple Modalities | |
| Myriam Chaumeil1 | ||
1UCSF, United States |
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Keywords: Contrast mechanisms: Hyperpolarization, : Preclinical/Animal, Neuro: Neurodegeneration In this talk, I will discuss how integrating metabolic imaging strategies (e.g hyperpolarized 13C MRI, PET) with MRI and ex vivo analysis can be used to improve our understanding of neuroinflammation, and enable the detection of neuroinflammatory lesions and the monitoring of response to immunomodulatory therapies in Multiple Sclerosis. |
9:15
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Multisite Harmonization | |
| Kamil Uludag1 | ||
1UHN, Canada |
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Keywords: Neuro: Neurodegeneration, Neuro: Brain For data collected from multiple sites, the resulting features can be difficult to interpret due to site-specific effects. Nonetheless, for certain studies, such as those requiring a large number of participants, it may be necessary to obtain data from multiple scanners. Thus, harmonization methods have been developed to correct for site effects while still preserving the biological variability in the data. However, several challenges must be carefully considered, including the minimum sample size required and differences in data acquisition procedures. In this presentation, I will discuss these challenges in detail and offer strategies for successful MRI harmonization in multisite studies. |
9:35
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The Future of MRI for Imaging Neuroinflammation & Its Impact on Patient Care | |
| Mark Lowe1 | ||
1Cleveland Clinic Foundation, United States |
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Keywords: Neuro: Brain, Neuro: Neurodegeneration, Neuro: Cerebrovascular In this presentation, I will present an overview of potential impact of MRI on the future clinical care of patients with neuroinflammatory diseases. |
8:35
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Magnetic Resonance of the Gut: How Do I Do It? Current Status & Future Trends | |
| Bari Dane1 | ||
1NYU, New York, NY, United States |
8:55
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MRI in IBD: Diagnosis, Burden & Treatment Response: Recent Advances | |
| David J. Grand1 | ||
1Brown University, Providence, RI, United States |
9:15
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MRI Imaging in Rectal Cancer & Response Assessment | |
| David H. Kim1 | ||
1University of Wisconsin, WI, United States |
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Keywords: Body: Digestive Rectal MR is central to the management of rectal cancer patients, driving management at initial presentation and after neo-adjuvant therapy. After neoadjuvant therapy at re-staging MRI, the issue of residual tumor versus post treatment fibrosis is of primary importance where ‘watch and wait’ without surgical resection is possible for a complete clinical response. Optimizing the MR protocol, including the addition of intra-rectal gel, can improve both T2W and DWI images which are core to distinguishing between residual tumor and fibrosis. In addition, knowledge of lymph node drainage patterns can augment the accuracy of lymph node status. |
9:35
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MRI in Small & Large Bowel Tumours: One-Stop Shop | |
| Andrea Laghi1 | ||
1Sapienza - University of Rome, Rome, Italy |
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Keywords: Body: Digestive In current clinical practice, MR imaging plays a limited role in the study of small and large bowel tumors, if we exclude rectal cancer. In fact, most patients with either a suspected small bowel neoplasm or with a need of colon cancer staging is referred to a MDCT evaluation. However, high soft tissue contrast, multiplanar imaging acquisition, as well as the possibility of performing functional studies make MR a promising technique to study these diseases. The possibility of using MRI in assessing small and large bowel tumors depends on the unmet clinical needs which cannot be fully satisfied by MDCT. |
9:55
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MRI Imaging in Vasculitis, Ischemia, Weaning Away from CT | |
| Jeff L Fidler1 | ||
1Mayo Clinic, Rochester, MN, United States |
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Keywords: Body: Digestive, Body: Body, Cardiovascular: Angiography Patients with ischemia or vasculitis involving the bowel usually present with acute abdominal pain and are imaged with CT. However, there are several scenarios where MR may be utilized or preferred. This presentation will discuss MR protocol optimization to efficiently diagnose these conditions, explain the pathophysiology and imaging findings of these entities, and review differential diagnoses. |
10:15
|
MRI Services for Upper GI Tract: Are We There Yet ? | |
| Sonal Krishan1 | ||
1Radiology, Medanta Hospital, India |
| 0367
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8:15
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DEveloping Blood-Brain barrier arterial spin labeling as a non-Invasive Early biomarker (DEBBIE) |
| Beatriz Padrela1, Mervin Tee2, Markus Sneve3, Amnah Mahroo4, Oliver Geier5, David Thomas6, Catherine Morgan7, Paulien Moyaert8,9, Esin Ozturk10, Wibeke Nordhøy11, Lene Pålhaugen12, Jennifer Linn13, Per Selnes12, Klaus Eickel4,14, Simon Konstandin4,14, Joost Kuijer1, Daniel Hoinkiss4, Nora Breutigam4, Mareike Buck4, Rik Achten9, Frederik Barkhof1,15, Saima Hilal2, Tormod Fladby12,16, Udunna Anazodo8, Jan Petr17, Henk J.M.M. Mutsaerts1, and Matthias Günther4 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2National University of Singapore and National University Health System, Saw Swee Hock School of Public Health, Singapore, Singapore, 3Department of Psychology, University of Oslo, Center for Lifespan Changes in Brain and Cognition, Oslo, Norway, 4Fraunhofer-Insitute for Digital Medicine MEVIS,, Bremen, Germany, 5Clinics of Radiology and Nuclear Medicine, University of Oslo, Department of Physics and Computational Radiology, Oslo, Norway, 6University College London, Dementia Research Center, London, United Kingdom, 7University of Auckland, School of Psychology and Centre for Brain Research, Auckland, New Zealand, 8Lawson Health Research Institute, London, ON, Canada, 9Department of Medical Imaging, Ghent University Hospital, Gent, Belgium, 10Bogazici University, Institute of Biomedical Engineering, Istanbul, Turkey, 11Clinics of Radiology and Nuclear Medicine, Oslo University Hospital, Department of Physics and Computational Radiology, Oslo, Norway, 12Department of Neurology, Akershus University Hospital, Lørenskog, Norway, 13Technische Universität Dresden, Department of Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany, 14mediri GmbH, Heidelberg, Germany, 15University College London, Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), London, United Kingdom, 16University of Oslo, Institute of Clinical Medicine, Campus Ahus, Lørenskog, Norway, 17Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany |
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Keywords: Alzheimer's Disease, Aging One of the earliest signs of Alzheimer’s disease (AD) is the loss of blood-brain barrier (BBB) integrity. Arterial spin labeling (ASL) MRI is a non-invasive way to measure perfusion and several other hemodynamic and physiological parameters, including vascular permeability. The DEveloping BBB-ASL as non-Invasive Early biomarker (DEBBIE) consortium aims to develop and integrate innovative techniques to allow robust BBB permeability assessments by ASL to develop a sensitive, non-invasive, and early biomarker for AD and related dementias. This work summarizes our planned efforts to develop and establish an MRI-based BBB permeability biomarker. |
| 0368 | 8:23
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Non-contrast assessment of blood-brain barrier permeability to water in mice: An arterial spin labeling study |
| Zhiliang Wei1,2, Hongshuai Liu3, Zixuan Lin1, Minmin Yao3, Ruoxuan Li3, Chang Liu3, Yuguo Li1,2, Jiadi Xu1,2, Wenzhen Duan3,4, and Hanzhang Lu1,2,5 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Arterial spin labelling, Animals Blood-brain barrier (BBB) plays a critical role in brain health and diseases. However, there is a scarcity of tools to assess BBB integrity, particularly in mouse models. Here, we aimed to develop a non-contrast arterial-spin-labeling-based MRI technique to estimate BBB permeability in mice by measuring relative fractions of labeled water in cerebral veins. Systematic optimizations were performed to enhance signal sensitivity with a further study investigating reproducibility. The proposed method revealed significant BBB dysfunctions in a mouse model of Huntington’s disease, which were further validated with histology. Our method may open new avenues for preclinical mechanistic research or therapeutic trails. |
| 0369 | 8:31
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FEXI MRI detects increased blood-brain barrier water permeability in response to mild lung infection |
| Yolanda Ohene1,2, Will Harris 3, Elizabeth Powell4, Nina W. Wycech3, Samo Lasič5,6, Kieron South3, Graham Coutts3, Andrew Sharp7, Catherine B. Lawrence 3, Hervé Boutin 3, Geoff J. M. Parker4,8, Laura M. Parkes1,2, and Ben R. Dickie2,9 | ||
1Division of Psychology, Communication and Human Neuroscience, University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom, 3Division of Neuroscience, University of Manchester, Manchester, United Kingdom, 4UCL, London, United Kingdom, 5Danish Research Centre for Magnetic Resonance, Copenhagen, Denmark, 6Random Walk Imaging, Åkarp, Sweden, 7Evotec (UK) Ltd., Cheshire, United Kingdom, 8Bioxydyn Limited, Manchester, United Kingdom, 9Division of Informatics, University of Manchester, Manchester, United Kingdom |
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Keywords: Diffusion/other diffusion imaging techniques, Permeability Non-disruption alterations to the blood-brain barrier (BBB) can be difficult to detect and therefore require highly sensitive tools for reliable measurement. Here, we apply a BBB filter exchange imaging (BBB-FEXI) technique to assess the rat brain in response to mild Streptococcus pneumoniae lung infection. We observe a significant 78 ± 39 % increase in BBB water permeability during infection. Higher water exchange measures were associated with higher levels of vascular inflammation, while BBB tight junction proteins remained unchanged. The expression of aquaporin-4 water channel was 38% higher in infected animals, which may drive the increase in water exchange during infection. |
| 0370 | 8:39
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Simultaneous imaging of cerebral perfusion and blood-CSF exchange using dual-TE split echo train Fast-Spin-Echo Arterial Spin Labeling |
| Manuel Taso1 and David C Alsop1 | ||
1Division of MRI Research, department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Keywords: Arterial spin labelling, Neurofluids The recent years have seen a growing interest in the study of brain waste clearance mechanisms, also referred to as glymphatics. Recently, ASL has been used to image choroid plexus perfusion but also the exchange between blood and CSF by taking advantage of the long CSF T2 compared to blood and brain tissue. We evaluate the possibility to measure this using reduced flip-angles FSE with variable-density k-space sampling, using a split echo-train strategy to collect in the same echo-train a short-TE PD-weighted as well as long-TE T2-weighted ASL datasets. We evaluate in a pilot group potential age-related differences. |
| 0371 | 8:47
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Minimizing SAR for SNR-Efficient Pseudo-Continuous Arterial Spin Labeling at 7T |
| Joseph G. Woods1, Mark Chiew1,2,3, and Thomas W. Okell1 | ||
1Wellcome Centre for Integrated Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada |
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Keywords: Arterial spin labelling, High-Field MRI Interest in 7T PCASL is increasing due to the large potential increases in SNR. However, PCASL is a relatively high SAR technique, requiring TRs to be extended with deadtime at 7T, which reduces SNR-efficiency and some of the benefit of moving to 7T. Here, we demonstrate that using VERSE to reduce the SAR of both the PCASL and background suppression pulses can reduce TRs by almost 25%, leading to an improvement in tSNR-efficiency compared to an equivalent non-VERSE scan. We reduced the off-resonance sensitivity that VERSE introduces to the background suppression pulses by carefully optimizing the phase waveform. |
| 0372 | 8:55
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Hybrid Adiabatic Pulse with asYmmetry (HAPY): an asymmetric adiabatic pulse with an application in pulsed ASL at 7T |
| Didi Chi1,2, Yasmin Blunck1,2, Rebecca Glarin2, Catherine E. Davey1,2, Daniel Stäb3, Josef Pfeuffer4, Leigh A. Johnston1,2, and Jin Jin5 | ||
1Department of Biomedical Engineering, University of Melbourne, Parkville, Australia, 2Melbourne Brain Centre Imaging Unit, University of Melbourne, Parkville, Australia, 3MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia, 4MR Research Collaborations, Siemens Healthcare Pty Ltd, Sydney, Australia, 5MR Research Collaborations, Siemens Healthcare Pty Ltd, Brisbane, Australia |
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Keywords: Arterial spin labelling, Arterial spin labelling, Pulsed ASL The increased power deposition and inhomogeneity of $$$\Delta{B_0}$$$ and $$$B_1^+$$$ fields limit the application of ASL at 7T. A new type of asymmetric adiabatic pulses, Hybrid Adiabatic Pulses with asYmmetry (HAPY) along with its optimisation scheme, is proposed in this study. In simulation and phantom experiments, the proposed HAPY pulse demonstrates RF labelling pulse energy reduction and high labelling efficiency under challenging $$$\Delta{B_0}$$$ and $$$B_1^+$$$ conditions. In vivo experiments show the successful application of PICORE-PASL with HAPY labelling pulses in 7T ASL with increased temporal resolution. |
| 0373 | 9:03
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Balanced Steady-State Free Precession and Radial Sampling for Arterial Spin Labeled Perfusion Imaging |
| Paul Han1,2, Thibault Marin1,2, Yue Zhuo1,2, Jinsong Ouyang1,2, Georges El Fakhri1,2, and Chao Ma1,2 | ||
1Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Arterial spin labelling, Perfusion, Brain Arterial spin labeling (ASL) is a non-invasive MRI technique that allows to quantitatively measure cerebral blood flow. However, the major limitation of ASL is in the intrinsically low signal-to-noise ratio (SNR). Balanced steady-state free precession (bSSFP) sequence has been proposed to mitigate this limitation, however, bSSFP is sensitive to off-resonance effects. ASL perfusion imaging with bSSFP can be sensitive to effects from motion and flow when Cartesian sampling scheme is used. This work proposes and investigates radial sampling scheme for ASL with bSSFP to allow perfusion imaging with relatively high SNR and robustness to motion and off-resonance effects. |
| 0374 | 9:11
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Simultaneous 4D ASL angiography and perfusion MRI using time-encoded pCASL preparation with Stack of Spirals readout |
| Merlijn C.E. van der Plas1,2, Kirsten Koolstra3, Martijn Nagtegaal2, Emiel Hartsema2, Lena Vaclavu2, Sophie Schmid2, Leoni Petitclerc2, Peter Bornert4, and Matthias van Osch2 | ||
1University Medical Center Utrecht, Utrecht, Netherlands, 2C.J. Gorter Center for high field MRI, Leiden University Medical Center, Leiden, Netherlands, 3Phillips, Best, Netherlands, 4Phillips, Hamburg, Germany |
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Keywords: Arterial spin labelling, Perfusion In this study, a framework was set up for the simultaneous acquisition of 4D MRA and perfusion ASL data while maintaining whole brain coverage. A Hadamard-8 preparation was combined with a 3D Stack of Spirals readout which resulted in 7 timepoints. By combining these two techniques we were able to obtain both angiography and perfusion from a single dataset. By improving the efficiency of the sampling scheme i.e. using variable density spirals, the total scan time could be reduced further while improving the SNR during the perfusion phase, albeit at the expense of the quality of the 4D MRA. |
| 0375 | 9:19
|
Velocity-selective arterial spin labelling bolus duration measurements: Implications for consensus recommendations |
| Ian D Driver1, Hannah L Chandler1, Eleonora Patitucci2, Richard G Wise1,3,4, and Michael Germuska2 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 3Department of Neurosciences, Imaging and Clinical Sciences, ‘G. d’Annunzio University’ of Chieti-Pescara, Chieti, Italy, 4Institute for Advanced Biomedical Technologies (ITAB), ‘G. d’Annunzio University’ of Chieti-Pescara, Chieti, Italy |
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Keywords: Arterial spin labelling, Brain, cerebrovascular reactivity Velocity-selective ASL (VSASL) measurement of CBF is relatively insensitive to arterial arrival times, unlike other ASL techniques, making it suitable for measuring CBF in patient groups with long arrival times. However, VSASL can underestimate CBF when the trailing edge of the labelled bolus arrives before imaging. Our study finds substantial spatial heterogeneity in bolus duration in Fourier Transform velocity-selective inversion (FT-VSI), with short bolus durations in anterior regions and longer bolus durations in posterior regions. These results build on a recent VSASL consensus paper contributing to recommendations for cerebrovascular reactivity mapping experiments. |
| 0376 | 9:27
|
Analytical model for determination of exchange times in multi-TE velocity-selective Arterial Spin Labeling |
| Mareike Alicja Buck1,2, Klaus Eickel1,3, and Matthias Günther1,2,3 | ||
1Fraunhofer MEVIS, Bremen, Germany, 2University Bremen, Bremen, Germany, 3mediri GmbH, Heidelberg, Germany |
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Keywords: Arterial spin labelling, Arterial spin labelling, velocity-selective Arterial Spin Labeling, multi-TE In this work, for the first time, an analytical model for determining the exchange times for obtaining vascular permeability information in velocity-selective Arterial Spin Labeling (VSASL) with multiple echo times (TE) is presented. Signal intensity comparisons were performed between different multi-TE VSASL techniques with each of the standard multi-TE pCASL and multi-TE PASL techniques for different sampling times. This demonstrates that, particularly for longer arterial transit times, the VSASL signal is twice as high compared with standard multi-TE measurements and thus shows promise in the field of non-invasive permeability measurements. |
| 0377 | 9:35
|
Oxygen Extraction Fraction mapping between normal cognition and mild cognitive impairment in an elderly cohort using quantitative BOLD |
| Linh N. N. Le1, Gregory J. Wheeler1, Evan Fletcher2, Nicholas P. Blockley3, and Audrey P. Fan1,2 | ||
1Department of Biomedical Engineering, University of California, Davis, Davis, CA, United States, 2Department of Neurology, University of California, Davis, Davis, CA, United States, 3School of Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Oxygenation, Aging Oxygen Extraction Fraction (OEF) is a valuable indicator of brain physiology influenced by cognitive impairment and vascular pathology in older adults. Our objective is to explore age-related OEF change for cognitively normal (CN) and Mild-Cognitive-Impairment (MCI) subjects. In this study, 56 elderly participants were recruited. Individuals with MCI resulted in higher OEF compared to CN participants, especially in the occipital lobe (p=0.007). In parietal lobe, we observed an inverse correlation between OEF and age (p=0.026) in CN and positive association between OEF and executive function (p=0.023) in MCI. The results showed an effect of aging and cognitive impairment on OEF |
| 0378 | 9:43
|
Investigating the applicability of dual echo ASL for simultaneous BOLD- and CBF-based mapping of cerebrovascular reactivity |
| Gabriel Hoffmann1,2, Franziska Richter1, Jan Kufer1, Lena Schmitzer1, Carina Gleißner1, Jens Göttler1, Stephan Kaczmarz1,2,3, and Christine Preibisch1,2 | ||
1Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 3Philips GmbH Market DACH, Hamburg, Germany |
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Keywords: Multi-Contrast, Validation, Cerebrovascular reactivity Combined measurement of BOLD- and CBF-based CVR by means of deASL would be valuable for assessment of cerebrovascular diseases. To investigate the applicability of deASL for CVR mapping, we acquired GE-EPI, deASL and pCASL data from 21 healthy volunteers during a hypercapnia challenge. BOLD-CVR from deASL was slightly but significantly less sensitive to hypercapnia-induced BOLD signal changes than GE-EPI, while differences between deASL- and pCASL-based CBF-CVR were rather insignificant. However, deASL failed in 5 of 21 subjects, while pCASL and GE-EPI merely failed in two and one subjects, respectively. Thus, we expect an elevated deASL failure rate in patient populations. |
| 0379 | 9:51
|
Quantitative perfusion mapping by BOLD-DSC MRI with transient hypoxia in mouse under volatile anesthetics |
| THI THUY LE1,2,3, GEUN HO IM1, CHAN HEE LEE1, and SEONG-GI KIM1,2,3 | ||
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, 16419, Republic of Korea, Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, 16419, Republic of Korea, Suwon, Korea, Republic of |
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Keywords: Hematologic, DSC & DCE Perfusion Transient hypoxia-induced BOLD-DSC perfusion imaging approach can noninvasively map cerebral blood flow (CBF) and cerebral blood volume (CBV) in animals with injectable anesthetics. Since animal models are frequently investigated in translational research under volatile anesthetics, we developed a simple gas delivery system for inducing transient hypoxia, and performed perfusion studies of mouse under isoflurane and dexmedetomidine. Highly sensitive and reproducible perfusion metrics were found, and regional impact of anesthesia to basal perfusion metrics was assessed. |
| 0380 | 9:58
|
Population Brain Perfusion Imaging: Arterial Spin Labeling in UK Biobank |
| Thomas W Okell1, Karla L Miller1, Martin Craig2, Fidel Alfaro-Almagro1, David L Thomas3,4, Enrico De Vita5, Matthias Günther6, Paul M Matthews7, Stephen M Smith1, and Michael A Chapell2 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 3Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 4Dept of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5MR Physics group, Radiology Department, Great Ormond Street Hospital, London, United Kingdom, 6Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 7Department of Brain Sciences, Imperial College London, London, United Kingdom |
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Keywords: Arterial spin labelling, Arterial spin labelling UK Biobank is an ongoing study which will acquire brain imaging in 100,000 participants, along with detailed lifestyle, biochemical and genetic information, and long-term health records. Here we describe the recent addition of arterial spin labeling (ASL) perfusion imaging to UK Biobank, with preliminary analyses of the first ~3,500 subjects. These revealed a range of highly significant associations between ASL metrics and non-imaging measures (e.g., blood pressure), as well as other imaging measures (e.g., white matter hyperintensity volume). This should become a useful resource for studying perfusion differences across a population and prior to disease onset. |
| 0381 | 8:15
|
Rapid 3D SPirAl Respiratory and Cardiac Self-gated (SPARCS) Cine Imaging with a DEep learning-based rapid Spiral Image REconstruction (DESIRE) |
| Xitong Wang1, Junyu Wang1, Shen Zhao1, Ruixi Zhou2, Yang Yang3, and Michael Salerno1 | ||
1Stanford Univeristy, Stanford, CA, United States, 2Beijing University of Posts and Telecommunications, Beijing, China, 3Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Cardiovascular We developed a rapid 3D self-gated cardiac cine technique, using a variable-density undersampled randomized stack of spiral gradient echo sequence to perform cine evaluation of the whole left ventricle. Our proposed slice-by-slice deep learning-based imaging reconstruction technique for self-gated free-breathing 3D stack of spiral cardiac cine imaging can produce cine images with high temporal (40 ms) and spatial resolution (1.25x1.25x8 mm) within a 20s acquisition time with <1s deep learning inference time. |
| 0382 | 8:23
|
Deep Learning Reconstruction for Combined 8-fold Accelerated Parallel Imaging and Simultaneous Multislice Acquisition |
| Mahmoud Mostapha1, Gregor Koerzdoerfer2, Boris Mailhe1, Esther Raithel2, Inge M. Brinkmann2, Nirmal Janardhanan1, Maria Ringholz2, Mariappan S. Nadar1, and Jan Fritz3 | ||
1Siemens Healthineers, Princeton, NJ, United States, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: Machine Learning/Artificial Intelligence, MSK Combining parallel imaging (PI) and simultaneous multislice (SMS) acceleration realized a clinical 4-fold accelerated 2D TSE MRI of the knee. However, 8-fold acceleration with conventional reconstruction methods suffers from significant image quality degradation. We propose a complete DL approach for combined slice separation and k-space-to-image reconstruction of SMS-PI-accelerated knee MRI with tunable denoising strength and super-resolution image enhancement. The proposed methods enable artifact-free image reconstruction of 8-fold accelerated 2D TSE MR images in multiple planes and with multiple image contrasts. Clinical evaluations suggest equivalence of image quality and detection rates of 8-fold S2P4 DL reconstructions compared to the reference standard. |
| 0383 | 8:31
|
Deep Learning based MR Image Reconstruction from Uniformly Undersampled MR Data |
| Linfang Xiao1, Yilong Liu2, Zhizun Zhang1, Ruixing Zhu1, Weijun Chen1, Zeyao Ma1, Congying Mao1, and Ke Wang1 | ||
1Hangzhou Weiying Medical Technology Co., Ltd, Hangzhou, China, 2Guangdong-Hongkong-Macau Institute of CNS Regeneration, Key Laboratory of CNS Regeneration (Ministry of Education), Jinan University, Guangzhou, China |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction MR Image reconstruction of uniformly undersampled data often relies on prior information estimated from additional calibration data, leading to compromised acquisition efficiency and flexibility. Here, we propose a joint multi-slice deep learning strategy for MR image reconstruction from uniformly undersampled data with complementary undersampling across adjacent slices. Specifically, we design a slice fusion block to fully exploit the structural and phase similarity in adjacent slices and a slice shift block to further suppress the aliasing artifacts introduced by uniform undersampling. Consequently, the proposed strategy enables accurate MR image reconstruction for both image magnitude and phase without additional calibration information. |
| 0385 | 8:39
|
Image reconstruction based on a physics-informed reverse diffusion model trained with magnitude-only data |
| Tobias Wech1, Oliver Schad1,2, and Jonas Kleineisel1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction We trained a score-based generative diffusion model with cardiac MR images, which allows generating new, randomized instances of the given data distribution. By conditioning each step of the underlying reverse time stochastic differential equation with a physics-informed data consistency step, undersampled MR data can be reconstructed. An initial estimation of the complex phase, which slowly transfers into the actual phase of the image, allows to train the diffusion model with magnitude data only. The approach was evaluated in fast spiral dynamic cardiac MRI at 1.5T, where it provided superior SNR-levels compared to alternative acceleration techniques. |
| 0386 | 8:47
|
SPIRiT Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging |
| Chentao Cao1,2, Zhuo-Xu Cui1, Jing Cheng1, Sen Jia1, Hairong Zheng1, Dong Liang1,3, and Yanjie Zhu1 | ||
1Shenzhen Institutes of Advanced Tech- nology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Pazhou Lab, Guangzhou, China |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence, SPIRiT, Diffusion Models, Vessel Wall Imaging Diffusion model is the most advanced method in image generation and has been successfully applied to MRI reconstruction. However, the existing methods do not consider the characteristics of multi-coil acquisition of MRI data. Therefore, we give a new diffusion model, called SPIRiT-Diffusion, based on the SPIRiT iterative reconstruction algorithm. Specifically, SPIRiT-Diffusion characterizes the prior distribution of coil-by-coil images by score matching and characterizes the k-space redundant prior between coils based on self-consistency. With sufficient prior constraint utilized, we achieve superior reconstruction results on the joint Intracranial and Carotid Vessel Wall imaging dataset. |
| 0387 | 8:55
|
K-band: A self-supervised strategy for training deep-learning MRI reconstruction networks using only limited-resolution data |
| Han Qi1, Frederic Wang1, Alfredo De Goyeneche1, Michael Lustig1, and Efrat Shimron1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction, MRI reconstruction, self-supervised, deep learning Although Deep learning (DL) techniques are powerful for MRI reconstruction, their development is hindered by the need for large training datasets. We propose a self-supervised method for training DL reconstruction networks using only limited-resolution data, acquired in k-space “bands”, which are generally easier to acquire than variable-density full-resolution data. Although the network is trained using low-resolution data, during inference it can reconstruct high-resolution images. Comprehensive experiments demonstrate that k-band is robust to various acceleration factors, outperforms two other methods trained on low-resolution data, and obtains comparable performance with SSDU and MoDL, while also reducing the need for full-resolution data. |
| 0388 | 9:03
|
Database-Free Zero-Shot Deep Learning Reconstruction for Highly-Accelerated Free-Breathing Perfusion CMR |
| Omer Burak Demirel1,2, Chi Zhang1,2, Burhaneddin Yaman1,2, Toygan Kilic1,2, Steen Moeller2, Chetan Shenoy3, Sebastian Weingärtner4, Tim Leiner5, and Mehmet Akçakaya1,2 | ||
1Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Department of Medicine (Cardiology), University of Minnesota, Minneapolis, MN, United States, 4Delft University of Technology, Delft, Netherlands, 5Department of Radiology, Mayo Clinical, Rochester, MN, United States |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence Myocardial perfusion CMR is used to functionally assess coronary artery disease. However, its resolution and coverage remain limited and require rapid imaging .At high accelerations for whole-heart coverage and high spatio-temporal resolution, conventional reconstructions suffer from noise and aliasing artifacts. Physics-guided deep learning (PG-DL) reconstruction has shown improved image quality in fast MRI, but its application to perfusion CMR has been limited due to substantial differences in breathing and contrast uptakes among subjects. In this work, we tackle these challenges by adopting subject-specific self-supervised PG-DL that does not require a training database for simultaneous multi-slice accelerated myocardial perfusion CMR. |
| 0389 | 9:11
|
Deep Reconstruction Framework with Self-calibration Mechanisms (DEISM) for Accelerated CEST Imaging |
| Jianping Xu1, Tao Zu1, Yi-Cheng Hsu2, Yi Sun2, and Yi Zhang1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China, Hangzhou, China, 2MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, Shanghai, China |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction The widespread clinical adoption of chemical exchange saturation transfer (CEST) imaging has been hampered by its prolonged scan time, due to multiple data acquisitions over the varying saturation offset frequencies. In this work, we utilize the artifact suppression algorithm and propose an effective deep reconstruction framework with self-calibration mechanisms (DEISM). The DEISM method was validated on brain tumor patients at 3T. In conjunction with deep-learning multi-coil image reconstruction and data-driven artifact suppression mechanisms, DEISM can provide reliable reconstructions of highly accelerated CEST data, yielding superior performance compared to state-of-the-art methods. |
| 0390 | 9:19
|
MRI reconstruction using DDPM with sparsely sampled k-space as guidance |
| Wei Jiang1, Yang Gao1, and Hongfu Sun1 | ||
1University of Queensland, Brisbane, Australia |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction, diffusion models, compressed sensing, MRI Recovering MR images from partially acquired k-space data can reduce scan time, leading to significant applications. Deep learning approaches have been proposed to train neural networks using under-sampled and full-sampled image pairs in a supervised manner. However, these supervised models usually have poor generalizability when deployed to acquisitions different from the training datasets. Here, we propose an unsupervised Denoising Diffusion Probabilistic Model (DDPM) capable of not only generating random high-fidelity MR images but also reconstructing images corresponding to k-space data from arbitrary acquisition patterns. |
| 0391 | 9:27
|
Undersampling reconstruction of ferumoxytol-enhanced cardiac cine MRI using a spatiotemporal neural network |
| Chang Gao1,2, Zhengyang Ming1,2, Kim-Lien Nguyen1,2, Xiaodong Zhong3, and John Paul Finn1,2 | ||
1Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Department of Physics and Biology in Medicine, University of California Los Angeles, Los Angeles, CA, United States, 3MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Ferumoxytol can support high quality SGE cardiac cine with blood-myocardial CNR similar to SSFP cine, but free of off-resonance artifact. Much work is ongoing to accelerate the acquisition of multi-slice, breath held cardiac cine. Deep learning-based reconstruction methods can accelerate the image acquisition and reconstruction but needs a large amount of data to train. When compared with compressed sensing and low rank reconstructions, our network showed sharper images and higher consistency with the reference and significantly better quantitative evaluation metrics. We showed that a network trained with non-contrast images could generalize to accelerated ferumoxytol-enhanced cardiac cine MRI with 10x acceleration. |
| 0392 | 9:35
|
An end-to-end residual learning VarNet for under-sampled MRI reconstruction |
| Lijun Zhang1 and Sha Wang1 | ||
1Research and Development Center, Canon Medical Systems (China), Beijing, China |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Model driven deep learning reconstruction methods usually utilize residual learning within single cascade which is composed by a neural network and a data consistency module, here we propose a model based end-to-end residual learning variational network(E2E-ResVarNet), a k-space residual is passed through cascades, then added to acquired under-sampled k-space after the last cascade output. It was demonstrated that the image quality is significantly improved at 4x/6x/8x acceleration factors trained with brain data set. |
| 0393 | 9:43
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MRI-movienet: fast motion-resolved 4D MRI reconstruction exploiting space-time-coil correlations without k-space data consistency |
| Victor Murray1, Syed Siddiq1, Ramin Jafari1, Can Wu1, and Ricardo Otazo1,2 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Machine Learning/Artificial Intelligence, Radiotherapy Motion-resolved 4D MRI enables free-breathing imaging and access to important physiological information. However, long reconstruction times for 4D MRI techniques like XD-GRASP have restricted routine clinical use. Even with unrolled convolutional networks, reconstruction enforcing data consistency in a high-dimensional space is still long. This work presents a deep learning approach named MRI-movienet that exploits spatial-time-coil correlations without enforcing data consistency to enable 2-fold scan acceleration compared to XD-GRASP and 4D reconstruction in less than 2 seconds. MRI-movienet uses the intrinsic separation into static and dynamic components to avoid hallucinations. MRI-movienet high performance will promote 4D MRI for routine clinical use. |
| 0394
|
9:51
|
Single breath-hold full abdominal T1 mapping using a CNN based short inversion-recovery sampling technique |
| Eze Ahanonu1, Ute Goerke2, Kevin Johnson3, Brian Toner4, Diego Martin5, Vibhas Deshpande6, Ali Bilgin1,3,7, and Maria Altbach3,7 | ||
1Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States, 2Siemens Healthineers, Tucson, AZ, United States, 3Department of Medical Imaging, The University of Arizona, Tucson, AZ, United States, 4Applied Math Program, The University of Arizona, Tucson, AZ, United States, 5Department of Radiology, Houston Methodist Hospital, Houston, TX, United States, 6Siemens Healthineers, Austin, TX, United States, 7Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, United States |
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Keywords: Machine Learning/Artificial Intelligence, Quantitative Imaging Comprehensive liver evaluation with T1 mapping requires full abdominal coverage with sufficiently high spatial resolution for detection of pathology. Existing methods for abdominal T1 mapping are only able to achieve partial coverage, primarily limited by the breath hold and the time required to sample the T1 recovery curve (T1RC) for accurate T1 estimation. We present a radial Look-Locker T1 mapping framework which utilizes short T1RC sampling combined with deep learning based T1 estimation to achieve full abdominal coverage within a single 20s breath hold period. |
| 0395 | 9:59
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Single-shot T2-FLAIR mapping via inversion recovery multiple overlapping-echo acquisition and deep neural network reconstruction |
| Yanhong Lin1, Qinqin Yang1, Wenhua Geng1, Haitao Huang1, Jianfeng Bao2, Shuhui Cai1, Zhong Chen1, and Congbo Cai1 | ||
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China, 2Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Quantitative Imaging, Quantitative Imaging T2-weighted imaging via conventional FLAIR sequence can suppress the signal of cerebrospinal fluid (CSF), making it easier for identifying long T2 lesions in the vicinity of the CSF. But it was usually used for qualitative analysis because of its inevitable time-consuming acquisition. In this study, we applied inversion recovery overlapping-echo acquisition together with deep learning-based reconstruction to achieve ultra-fast T2-FLAIR mapping. In vivo results from a healthy volunteer and two glioma patients demonstrate the good accuracy and robustness of our proposed method. |
| 0384
|
10:07
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Conditional Denoising Diffusion Probabilistic Models for Inverse MR Image Recovery |
| Mahmut Yurt1, Batu Ozturkler1, Kawin Setsompop1,2, Shreyas Vasanawala2, John Pauly1, and Akshay Chaudhari2,3 | ||
1Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Biomedical Data Science, Stanford University, Stanford, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence High-resolution, multi-contrast magnetic resonance imaging (MRI) protocols are required for accurate clinical diagnoses, but are limited by long scan times. Recovering high-quality, multi-contrast images from low-quality accelerated acquisitions is a promising approach to mitigate this limitation. Prior studies have demonstrated deep-learning for tasks such as contrast synthesis, image super-resolution, and image reconstruction. However, each of these tasks requires different architectures and training paradigms. Motivated by these challenges, we introduce a unified conditional denoising diffusion probabilistic model (DDPM) for inverse MR image recovery. Experiments performed on three image recovery tasks demonstrate that DDPMs achieve superior performance compared to prior state-of-the-art approaches. |
8:15
|
Creating a Culture of Reproducible Research | |
| Francesco Santini1 | ||
1Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, Switzerland |
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Keywords: Transferable skills: Reproducible research The talk will present the importance of reproducibility in scientific research and how it has become a crucial part of scientific practices. The talk will also discuss the role of open data and source methods in promoting reproducibility and creating a more accessible and equitable scientific landscape. Finally, the talk will explain how implementing reproducible practices can improve the scientific output of labs in terms of both quality and efficiency. |
8:35
|
Open-Source Hardware & Software | |
| Nikola A. Stikov1 | ||
1École Polytechnique, University of Montreal, Montreal, QC, Canada |
| 0396 | 8:55
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Phantom Results of the ISMRM Joint RRSG–qMRSG Reproducibility Challenge on T1 mapping |
| Mathieu Boudreau1,2, Agah Karakuzu1, Julien Cohen-Adad1,3, Madeline Carr4,5, Mariya Doneva6, Seraina A. Dual7,8, Daniel B. Ennis9, Alex Ensworth10,11, Alexandru Foias1, Véronique Fortier10,12, Guillaume Gilbert13, Matthew Grech-Sollars14,15, Lois Holloway4,5, Siyuan Hu16, Oscar Jalnefjord17,18, Peter Koken6, Anastasia Kolokotronis10,19, Simran Kukran20, Nam Lee21, Ives R. Levesque10, Dan Ma16, Burkhard Maedler22, Nyasha Maforo23, Kévin Moulin9,24, Jamie Near25, Robba Rai4,5, Ben Statton26, Christian Stehning22, Chenyang Wang27, Kilian Weiss22, Niloufar Zakariaei28, Shuo Zhang22, and Nikola Stikov1,2 | ||
1NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, Montreal, QC, Canada, 3Unité de Neuroimagerie Fonctionnelle (UNF), Centre de recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada, 4Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, Australia, 5Department of Medical Physics, Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia, 6Philips Research, Hamburg, Germany, 7Stanford University, Stanford, CA, United States, 8Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden, 9Department of Radiology, Stanford University, Stanford, CA, United States, 10Medical Physics Unit, McGill University, Montreal, QC, Canada, 11University of British Columbia, Vancouver, BC, Canada, 12Medical Imaging, McGill University Health Centre, Montreal, QC, Canada, 13MR Clinical Science, Philips Canada, Mississauga, ON, Canada, 14Department of Computer Science, University College London, London, United Kingdom, 15Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 16Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 17Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 18Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 19Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada, 20Department of Surgery & Cancer, Imperial College London, London, United Kingdom, 21Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 22Philips GmbH Market DACH, Hamburg, Germany, 23Philips Healthcare Germany, Hamburg, Germany, 24CREATIS Laboratory, Univ. Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM, Lyon, France, 25Centre d'Imagerie Cérébrale, Douglas Mental Health University Institute, Montreal, QC, Canada, 26MRC, London Institute of Medical Sciences, Imperial College London., London, United Kingdom, 27Department of Radiation Oncology - CNS Service, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 28Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, United States |
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Keywords: Quantitative Imaging, Relaxometry, Reproducibility, challenge A collaborative reproducibility challenge was launched to explore if an imaging protocol independently-implemented at multiple centers can reliably measure T1 using inversion recovery in a standardized quantitative MRI phantom (ISMRM/NIST). A total of 19 submissions were accepted, totalling 41 phantom T1 mapping datasets. Errors relative to the temperature-corrected reference T1 values were under 10% for the range of values expected in the human brain in vivo. All submitted phantom data, code, pipelines, and scripts were shared on open platforms. |
| 0397
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9:03
|
Reproducibility of the bSTAR sequence and open-source implementation |
| Nam G Lee1, Grzegorz Bauman2, Oliver Bieri2, and Krishna S Nayak3 | ||
1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Department of Radiology, University of Basel Hospital, Basel, Switzerland, 3Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Lung, Low-Field MRI The reproducibility of scientific reports is crucial to advancing human knowledge. This abstract is a response to the 2023 ISMRM Challenge “Repeat it With Me: Reproducibility Team Challenge”. We reproduce the bSTAR sequence, a very short-TR, 3D half-radial dual-echo bSSFP sequence, providing banding-artifact free images within a large FOV. bSTAR imaging is attractive for various applications at low field and especially attractive for lung parenchyma imaging due to the prolonged T2’. We have successfully reproduced the bSTAR method, and figures with comparable image quality compared to published literature. We provide an open-source implementation using Pulseq and BART. |
| 0398
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9:11
|
Cross-vendor three-dimensional multiparametric mapping of the human brain: A traveling-subject and patient study |
| Shohei Fujita1,2, Borjan Gagoski3,4, Ken-Pin Hwang5, Marcel Warntjes6,7, Kazumasa Yokoyama8,9, Issei Fukunaga1, Wataru Uchida1, Yuya Saito1, Rina Tachibana1, Tomoya Muroi1, Toshiya Akatsu1, Akihiro Kasahara2, Ryo Sato2, Tsuyoshi Ueyama2, Christina Andica1, Akifumi Hagiwara1, Koji Kamagata1, Shiori Amemiya2, Hidemasa Takao2, Nobutaka Hattori9, Osamu Abe2, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 6SyntheticMR, Linköping, Sweden, 7Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 8Tousei center for neurological diseases, Shizuoka, Japan, 9Department of Neurology, Juntendo University, Tokyo, Japan |
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Keywords: Quantitative Imaging, Precision & Accuracy, Cross-vendor Multiparametric techniques compatible with multiple vendors to facilitate the pooling of data among different sites and vendors are desired. Here, we developed a vendor-standardized whole-brain multiparametric mapping scheme based on 3D-QALAS. Intra-scanner repeatability and inter-vendor reproducibility were evaluated on test-retest session data on five different 3T systems from four MRI vendors (GE, Philips, Siemens, and Canon). T1 and T2 relaxation times and proton density values derived from 3D-QALAS showed coefficient of variations of <4.0% across scanners from different vendors. Finally, we performed an inter-vendor validation on multiple sclerosis patients to assess the feasibility of the scheme in real-world clinical settings. |
| 0399 | 9:19
|
A Multi-Site Collaborative Training Effort to Improve Neuroimaging Accessibility and Capacity Development in Low- and Middle-Income Countries |
| Jessica E. Ringshaw1,2,3, Layla E. Bradford1,2, Marlie Miles1,2, Carly Bennallick3, Niall J. Bourke3, Emil Ljungberg3,4, Sean C.L. Deoni5, Steven C.R. Williams3, and Kirsten A. Donald1,2 | ||
1Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa, 2Neuroscience Institute, University of Cape Town, Cape Town, South Africa, 3Department of Neuroimaging, King's College London, London, United Kingdom, 4Department of Medical Radiation Physics, Lund University, Lund, Sweden, 5Maternal, Newborn, and Child Health (MNCH) Discovery and Tools (D&T), Bill and Melinda Gates Foundation, Seattle, WA, United States |
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Keywords: Neuro, Low-Field MRI, Training, Capacity Development, Low- and Middle Income Countries In a multi-site global collaboration (UNITY; Ultra-Low Field Neuroimaging In The Young) implementing the novel Hyperfine 64mT low-field MRI into research on relevant health priorities in low- and middle-income countries (LMICs), capacity development has been identified as a key objective. Following an initial training wave in foundational sites including South Africa, adapted workshops have been conducted in new consortium countries including Malawi, Ethiopia, and Ghana. This has informed the development of a strategic framework for context-specific training aimed at promoting the increased success of neuroimaging in research and clinical practice, and the sustainability of MRI technology in under-resourced settings. |
| 0400 | 9:27
|
Solving the pervasive problem of protocol non-compliance in MR imaging using an open-source tool mrQA |
| Harsh Sinha1 and Pradeep Reddy Raamana2 | ||
1Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States, 2Intelligent Systems Program, Department of Biomedical Informatics, Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States |
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Keywords: Data Acquisition, Data Processing, Protocol Compliance, Quality Control, Quality Assurance Acquiring MR imaging data by multi-site consortia requires careful monitoring of MR physics protocols. Conventionally, protocol compliance has been an ad-hoc and manual process that is error-prone. Hence, it is often overlooked for the lack of realization that parameters are routinely improvised locally at different sites. Such variation and inconsistencies across acquisition protocols can reduce SNR, & statistical power and, in the worst case, may invalidate the results altogether. We present an open-source tool, called mrQA, to assess protocol compliance and demonstrate the lack of it by analyzing over 20 large open datasets. |
| 0401 | 9:35
|
A Remote Sequence Streaming Interface for Open Innovation |
| Thomas Kluge1 and Christoph Forman1 | ||
1Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Data Acquisition, Pulse Sequence Design, Open Innovation; Reproducible Research Open innovation and reproducible research have become increasingly important in recent years. Furthermore, software version dependent application development introduces significant efforts to developers and researchers in maintaining different versions of applications for a variety of scanner software releases. In this work, we propose a software-version and programming language independent interface for data acquisition on Siemens Healthcare MAGNETOM scanners. This is achieved by generic interfaces and streaming protocols. A wide range of development and deployment opportunities is enabled with a web-API. The use of the interface is exemplarily shown with a prototype FLASH sequence and demonstrated with a phantom scan. |
| 0402 | 9:43
|
An Open-Source Self-navigated Multi-Echo Gradient Echo Acquisition for R2* and QSM mapping using Pulseq and Model-Based Reconstruction |
| Xiaoqing Wang1,2, Berkin Bilgic1,2, Daniel Gallichan3, Kwok-Shing Chan4, and José P. Marques4 | ||
1Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 4Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands |
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Keywords: Pulse Sequence Design, Quantitative Susceptibility mapping, open-source, pulseq We propose an open-source multi-echo GRE sequence and reconstruction algorithms for rapid acquisition and harmonization of QSM. This is implemented using Pulseq, where different sampling patterns are used across echoes to provide complementary information and facilitate the proposed MOdel BAsed (MOBA) reconstruction. MOBA estimates M0, R2* and frequency maps using nonlinear optimization and is implemented in BART to facilitate dissemination. B0 correction is performed using 1D navigators acquired during the crusher gradients in each repetition. Motion navigators inserted in the sequence permit robust estimation of motion parameters with time frames of ~13seconds, and will lend themselves to retrospective motion correction. |
| 0403 | 9:51
|
Developing an Open Access Brain Metastasis Database: Yale Brain Metastasis Database |
| Divya Ramakrishnan1, Leon Jekel2, Matthew Sala1, Manpreet Kaur3, Anastasia Janas1, Gabriel Cassinelli Petersen4, Khaled Bousabarah5, MingDe Lin6, Sara Merkaj7, Marc von Reppert8, and Mariam Aboian1 | ||
1Department of Radiology, Yale School of Medicine, New Haven, CT, United States, 2University of Essen, Essen, Germany, 3Ludwig Maximilians Universität (LMU), Munich, Germany, 4University of Goettingen, Goettingen, Germany, 5Visage Imaging, Dusseldorf, Germany, 6Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 7University of Ulm, Ulm, Germany, 8University of Leipzig, Leipzig, Germany |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Brain Metastasis While there are many machine learning (ML) algorithms for brain metastasis (BM) detection and segmentation, very few have been validated on external datasets. There is a critical need for open access BM datasets for development and validation of more robust algorithms. Here, we present the Yale Brain Metastasis database of 290 patients with annotated segmentations of BM on T1 post-gadolinium and associated survival information. A subset of 228 patients have FLAIR segmentations, clinical features, and qualitative imaging features. Open access of this database will greatly aid in the development and validation of new AI algorithms for BM detection and segmentation. |
| 0404 | 9:59
|
M4Raw: A Multi-Contrast Multi-Repetition Multi-Channel Raw K-space Dataset for Low-Field MRI Reconstruction |
| Mengye Lyu1, Lifeng Mei1, Sixing Liu1, Shoujin Huang1, Yi Li1, Kexin Yang1, Yilong Liu2, and Ed X. Wu3,4 | ||
1College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, China, 2Guangdong-Hongkong-Macau Institute of CNS Regeneration, Key Laboratory of CNS Regeneration (Ministry of Education), Jinan University, Guangzhou, China, 3Laboratory of Biomedical Imaging and Signal Processing, the University of Hong Kong, Hong Kong, China, 4Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong, China |
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Keywords: Machine Learning/Artificial Intelligence, Low-Field MRI, Open dataset We release a new raw k-space dataset M4Raw acquired by the low-field MRI. Currently, it contains multi-channel brain data of 180 subjects each with 18 slices x 3 contrasts (T1w, T2w, and FLAIR). Moreover, each contrast consists of two or three repetitions (a.k.a. NEXs), leading to more than 25k trainable slices in total, which can be used in various ways by the low-field MRI community. It can be accessed via http://github.com/mylyu/M4Raw. |
| 0405 | 10:07
|
Systematic evaluation of the robustness of open-source networks for MRI multicoil reconstruction |
| Naoto Fujita1, Suguru Yokosawa2, Toru Shirai2, and Yasuhiko Terada1 | ||
1Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan, 2FUJIFILM Healthcare Corporation, Tokyo, Japan |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Deep Learning Reconstrcution Deep neural networks (DNNs) for MRI reconstruction often require large datasets for training, but in clinical settings, the domains of datasets are diverse, and the degree to which deep neural networks are the robustness of DNNs to domain differences between training and testing datasets has been an open question. Here, we evaluated the robustness of four open-source multicoil networks to differences in the domain. We found that model-based networks exhibit higher robustness than data-driven networks and that robustness varies across network architectures, even within model-based networks. Our results provide insight into what network architectures are effective for generalization performance. |
| 0406
|
8:15
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Brain Stiffness, Aerobic Fitness, and Memory Performance Differences Between Older Adults with and without Mild Cognitive Impairment |
| Mary K Kramer1, Peyton L Delgorio1, Alexa M Diano1, Olivia M Bailey1, Grace McIlvain1, Kyra E Twohy2, Matthew Overstreet3, David G Edwards3, Christopher R Martens3, and Curtis L Johnson1,2 | ||
1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Mechanical Engineering, University of Delaware, Newark, DE, United States, 3Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States |
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Keywords: Alzheimer's Disease, Elastography Magnetic resonance elastography (MRE) is a robust and sensitive tool used to measure brain mechanical properties that can accurately detect improvements in brain health and function. Exercise and aerobic fitness levels are strongly tied to these brain mechanical properties and their related functionality. In healthy older adults, greater fitness is associated with better memory and increased mechanical integrity of the brain. In a population of older adults with mild cognitive impairment, there is a notable decrease in memory function and aerobic fitness compared to healthy controls, and this decrease is measurable in the mechanical properties of the brain using MRE. |
| 0407 | 8:23
|
Coupling between low-frequency hemodynamic oscillations and cerebrospinal fluid flow is altered in patients with cerebral amyloid angiopathy |
| Lydiane Hirschler1,2, Maria Clara Zanon Zotin1, Laura D Lewis3,4, Mitchell J Horn1, M. Edip Gurol1, Anand Viswanathan1, Jonathan R. Polimeni4, Matthias JP van Osch2, Susanne J van Veluw1,2, and Steven M Greenberg1 | ||
1Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Biomedical Engineering, Boston University, Boston, MA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States |
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Keywords: Dementia, Neurofluids, Neurovascular, small vessel disease Cerebral amyloid angiopathy (CAA) is characterized by the accumulation of amyloid-β in the vessel walls. Prominent manifestations of CAA include enlarged perivascular spaces (ePVS) and lower amyloid-β concentrations in CSF, which may be the result of impaired brain clearance. CAA patients also demonstrate impaired evoked vascular reactivity. Whether vascular dysfunction is associated with impaired fluid movement in the human brain remains unclear. Here we show that BOLD-CSF coupling is reduced in CAA patients compared to elderly controls, which is a first demonstration of a cerebral small vessel disease affecting CSF motion. |
| 0408 | 8:31
|
Cerebrovascular reactivity (CVR) MRI as a biomarker for small vessel disease related cognitive decline: validation in the MarkVCID Consortium |
| Peiying Liu1,2, Zixuan Lin1, Kaisha Hazel1, George Pottanat1, Cuimei Xu1, Dengrong Jiang1, Emma Lucke1, Christopher E. Bauer3, Brian T. Gold3, Steven M. Greenberg4, Karl G. Helmer5, Kay Jann6, Gregory A. Jicha3, Joel Kramer7, Pauline Maillard8, Rachel Mulavelil9, Pavel Rodriguez9, Claudia L. Satizabal9, Sudha Seshadri9, Herpreet Singh5, Angel G. Velarde9, Danny J.J. Wang6, Rita R. Kalyani1, Abhay Moghekar 1, Paul B. Rosenberg1, Sevil Yasar1, Marilyn Albert1, and Hanzhang Lu1 | ||
1Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2University of Maryland School of Medicine, Baltimore, MD, United States, 3University of Kentucky, Lexington, KY, United States, 4Harvard Medical School, Boston, MA, United States, 5Massachusetts General Hospital, Boston, MA, United States, 6University of Southern California, Los Angeles, CA, United States, 7University of California, San Francisco, San Francisco, CA, United States, 8University of California, Davis, Sacramento, CA, United States, 9UT Health San Antonio, San Antonio, TX, United States |
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Keywords: Dementia, Blood vessels Small vessel disease (SVD) related vascular contributions to cognitive impairment and dementia (VCID) represent a major factor in cognitive decline in older adults. However, there has not been a validated biomarker for the diagnosis and treatment monitoring of this condition. Recently, the US National Institute on Neurological Disorders and Stroke (NINDS), a branch of NIH, funded a MarkVCID consortium, the goal of which is to identify and validate clinical-trial-ready biomarkers for VCID. Cerebrovascular reactivity (CVR) MRI was one of the selected biomarkers that underwent multi-site testing. The present work reports the relationship between CVR and cognitive function, and examines whether the pre-specified hypothesis can be reproduced at each of the sites. |
| 0409 | 8:39
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Thalamic nuclei changes in early vs. late onset Alzheimer’s Disease |
| Gonzalo Forno1,2, Michael Hornberger3, Albert Lladó1, and Manojkumar Saranathan4 | ||
1Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain, 2Escuela de Psicología, Universidad de los Andes, Santiago, Chile, 3University of East Anglia, Norwich, United Kingdom, 4Radiology, University of Massachusetts Chan Medical School, Worcester, MA, United States |
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Keywords: Alzheimer's Disease, Segmentation Age at symptom onset distinctly affects thalamic nuclei alongside AD. While Early Onset AD showed significant anteroventral (AV) nucleus changes associated with increasing tau pathology, Late onset AD AV nucleus was associated with Aβ42 levels but no significant volume changes were found. |
| 0410
|
8:47
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Alzheimer's disease neuropathology contributes to perivascular and parenchymal free water diffusion characteristics |
| Kirsten Mary Lynch1, Arthur W Toga1, and Jeiran Choupan1,2 | ||
1USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, Los Angeles, CA, United States, 2Research, NeuroScope Inc., Scarsdale, NY, United States |
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Keywords: Alzheimer's Disease, Neurofluids Disruption of perivascular and interstitial fluid transport in the brain may contribute to the accumulation of toxic metabolic deposits observed in neurodegeneration. However, the relationship between AD neuropathology and free water fluid dynamics are not well understood. Using multi-compartment diffusion models, we assessed the relationship between PET tau and Aβ uptake and free water diffusion properties. We found tau deposition was associated with reduced free water anisotropy in brain regions that undergo neurodegeneration in pre-clinical AD. These findings provide a preliminary link between AD pathology and fluid transfer that may indicate waste clearance functional alterations. |
| 0411 | 8:55
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Vascular-water-exchange imaging to detect blood-brain barrier breakdown in Alzheimer’s disease without contrast agent |
| Yifan Zhang1,2, Yue Wang3,4, Zhaoqing Li1,2, Shiping Li3,4, Yi-Cheng Hsu5, Jiong Shi3,4, Binbin Sui3, and Ruiliang Bai1,2 | ||
1College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 2School of Medicine, Zhejiang University, Hangzhou, China, 3National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 5MR Collaboration, Siemens Healthcare, Shanghai, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, Blood-brain barrier Blood-brain-barrier (BBB) impairment is an important pathophysiological process in Alzheimer’s disease (AD). However, most neuroimaging methods assessing BBB function require contrast agent injection, limiting the methods’ application. Vascular-water-exchange imaging (VEXI), a version of filter-exchange imaging (FEXI), is a contrast-agent-free method assessing BBB permeability to water. We quantitatively measured BBB permeability using VEXI in normal subjects, mild cognitive impairment patients, and AD patients and found BBB breakdown occurred specifically in the hippocampus, worsening with disease progression. In addition, BBB permeability to water showed a significant correlation with cognitive impairment. Therefore, VEXI might be a potential contrast-agent-free neuroimaging method. |
| 0412 | 9:03
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Investigating the impact of ketogenic diet in Alzheimer’s disease using 1H MRS |
| Chaitali Anand1, Lydia Le Page1, Marina Radoul1, and Myriam M Chaumeil1 | ||
1UCSF, San Francisco, CA, United States |
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Keywords: Alzheimer's Disease, Spectroscopy, metabolism Ketogenic diet (KD) may be used to treat cognitive dysfunction in Alzheimer’s disease (AD). In hAPPJ20 AD mice fed KD, improved spatial learning has been noted, but mechanisms driving this cognitive change remains unclear. Here we used 1H MRS to probe the effect of KD on brain metabolism in hAPPJ20 mice fed either a control diet or KD. Increases in prefrontal creatine and Glx in KD-fed mice and increased Tau in male KD-fed mice were observed. Male KD-fed mice also demonstrated better spatial learning on the Morris water maze. Thus, KD may improve brain energetics and neurotransmission supporting cognitive function. |
| 0413 | 9:11
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Increased vessel size accompanies decreased cerebral blood flow in the hippocampus in Alzheimer’s disease |
| Hansol Lee1,2, Kyla Gaudet1, Annie G. Bryant3, Rachel E. Bennett3, David H. Salat1, Yi-Fen Yen1, and Susie Y. Huang1 | ||
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of, 3Department of Neurology, Massachusetts General Hospital, Charlestown, MA, United States |
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Keywords: Alzheimer's Disease, Perfusion The purpose of this study was to probe alterations in vessel size and their contributions to perfusion deficits observed in the early stages of Alzheimer’s disease (AD). AD and mild cognitive impairment (MCI) patients along with older and young adults underwent perfusion and diffusion magnetic resonance imaging (MRI). Increased vessel size was observed in conjunction with decreased cerebral blood flow in the hippocampus of individuals with AD and MCI. These results highlight potential pathologic mechanisms of abnormal vascular supply to the hippocampus in AD. Further investigations into vessel density and the relationship between cerebrovascular structure to AD pathology are warranted. |
| 0414 | 9:19
|
Functional Abnormalities of Cerebellum in Vascular Cognitive Impairment |
| Zhao Ruan1, Weiyin Vivian Liu2, and Haibo Xu3 | ||
1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China, 3Zhongnan Hospital of Wuhan University, Wuhan, China |
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Keywords: Dementia, Brain Connectivity, vascular cognitive impairment The potential prevalence of vascular cognitive impairment (VCI) is high; early diagnosis and treatment is essential for disease prognosis. In this study, compared to healthy controls (HCs), there were differences of functional connectivity (FC) between the cerebellum and cerebral regions of VCI patients, mainly involving default mode network (DMN), sensorimotor network (SMN) and frontoparietal network (FPN). Furthermore, FC between multiple sub-regions in the cerebellum reduced in patients with VCI compared to HCs. These findings may expand our understanding of the neural mechanisms of VCI in the perspective of neurovascular coupling. |
| 0415 | 9:27
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Unique brain stiffness and damping ratio patterns associated with morphological phenotypes of normal pressure hydrocephalus |
| Pragalv Karki1, Matthew C Murphy1, Petrice M Cogswell1, Matthew L Senjem1, Jonathan Graff-Radford2, Clifford R Jack Jr1, Richard L Ehman1, and John Huston III1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Neurology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Dementia, Brain, Normal pressure hydrocephalus Normal pressure hydrocephalus (NPH) is a brain disorder that is often misdiagnosed as Alzheimer’s or Parkinson’s disease due to overlapping symptoms. However, unlike such neurodegenerative diseases, NPH can be surgically treated by shunt placement with a success rate of around 80%, depending on phenotype. Therefore, correct diagnosis and categorization of NPH is important. As a step towards that goal, we demonstrate that analyzing the different morphologic phenotypes of NPH using magnetic resonance elastography can help establish unique viscoelastic signatures associated with each phenotype providing distinguishing biomarkers. |
| 0416
|
9:35
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An ultra-fast dementia diagnosis MRI protocol enabled by Wave-CAIPI |
| Haroon R. Chughtai1,2, David L. Thomas3,4, Miguel Rosa-Grilo3, Eoin Mulroy3, Millie Beament3, Will Coath3, Lloyd Prosser3, Ian Malone3, Danny Alexander5, Frederik Barkhof 3, Catherine J. Mummery3, Nick C. Fox3, and Geoff J. M. Parker1,6 | ||
1Centre for Medical Image Computing (CMIC), Medical Physics & Biomedical Engineering, UCL, London, United Kingdom, 2Advanced Research Computing (ARC) Centre, UCL, London, United Kingdom, 3Dementia Research Centre (DRC), UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, 4Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, 5Department of Computer Science, Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 6Bioxydyn Limited, Manchester, United Kingdom |
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Keywords: Data Acquisition, Dementia Structural brain imaging is vital in the diagnostic pathway for cognitive disorders and dementias, including the identification of Alzheimer’s disease. MRI is the recommended modality for this but is often not used due to long scan times and lower availability relative to CT. Reduced scan times are needed to enable more widespread adoption of MRI as a first-line modality for cognitive disorders. Our ultra-fast protocol enabled by Wave-CAIPI shows promise in reducing the diagnostic scan time for dementias from around 18 minutes to under 6 minutes whilst retaining clinical utility across several contrasts. |
| 0417
|
9:43
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White Matter Neurometabolite Vulnerability Predicts Cognitive Decline in Alzheimer’s Disease: A High-Resolution 3D 1H-MRSI Study |
| Danni Wang1, Miao Zhang2, Yibo Zhao3,4, Yudu Li3,5, Wen Jin3,4, Jialin Hu1, Yaoyu Zhang1, Biao Li2, Jun Liu6, Binyin Li6, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China |
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Keywords: Alzheimer's Disease, Spectroscopy White matter (WM) damage plays an important role in AD and different mechanisms have been suggested for different brain areas from postmortem studies. Understanding the spatial patterns of pathological changes in WM is of great importance in AD diagnosis. Using a high-resolution 3D MRSI technique, we investigated the spatial patterns of neurometabolic changes in WM regions. We firstly derived neurometabolite vulnerability maps in AD, showing spatially varying patterns of NAA reduction and mIn elevation in WM regions, in distinct association with gray matter volume or Aβ deposition, respectively. The neurometabolic biomarkers showed improved prediction of cognitive decline of AD patients. |
| 0418
|
9:51
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Diffusion abnormalities linked to brain arteriolosclerosis: An in-vivo MRI and pathology study in community-based older adults |
| Ana Tomash1, Mahir Tazwar1, Md Tahmid Yasar1, Shengwei Zhang2, Arnold M Evia2, David A Bennett2, Julie A Schneider2, and Konstantinos Arfanakis1,2 | ||
1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Dementia, Vessels, Alzheimer's disease, Aging, Hypertension Brain arteriolosclerosis is one of the main pathologies of cerebral small vessel disease, is common in older adults, and is associated with lower cognitive and motor function and higher odds of dementia. This work combined in-vivo MRI and pathology in a community-cohort of older adults to investigate the independent association of brain arteriolosclerosis with diffusion abnormalities in white matter. Brain arteriolosclerosis was shown to be associated with lower FA and higher trace of the diffusion tensor that extended throughout white matter, and these associations were independent of the effects of other neuropathologies or white matter hyperintensities. |
| 0419 | 9:59
|
Topological properties of individual gray matter morphological network effectively identify the preclinical stages of Alzheimer’s disease |
| Zhihao Wang1, Hongyuan Ding2, Yin Tang3, Yao Tang4,5, Ming Qi6, Weiqiang Dou7, Long Qian7, Yaxin Gao8,9, Tong Wang10, Qian Zhong11, Xi Yang10, Huifang Tian12, Ling Zhang2, and Yi Zhu10 | ||
1School of Biological Science & Medical Engineering, Southeast University, Nanjing, China, 2Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3Department of Medical imaging, Jingjiang People's Hospital, Jingjiang, China, 4School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, China, 5Rehabilitation Medicine Department, Geriatric Hospital of Nanjing Medical University, Nanjing, China, 6Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Naning, China, 7MR Research China, GE Healthcare, Beijing, China, 8Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China, 9Gusu School, Nanjing Medical University, Suzhou, China, 10Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 11Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China, 12Clinical Medicine Research Institution, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China |
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Keywords: Alzheimer's Disease, Neurodegeneration In this study, the topology of normalized individual morphological network (IMN) has been investigated for patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI) and healthy controls (HCs), respectively. Significantly different topology has been revealed among SCD and MCI patients and HCs, both at global and regional level. Moreover, the alterations of the regional topological metrics, including degree centrality and nodal efficiency, at the caudate nucleus exhibited significant correlations with all clinical scales and statistically predicted the cognitive performances. Therefore, the alterations of IMN can be regarded as an effective biomarker in early detection of SCD and MCI. |
| 0420 | 10:07
|
Cortical morphometry and hippocampal microstructure predict aging and Alzheimer’s disease progression. |
| Aurélie Bussy1, Raihaan Patel2, Olivier Parent1, Alyssa Salaciak1, Sarah Farzin1, Stephanie Tullo1, Sylvia Villeneuve1, Judes Poirier1, John CS Breitner1, Gabriel A. Devenyi1, Christine L. Tardif1, and M. Mallar Chakravarty1 | ||
1McGill University, Montréal, QC, Canada, 2University of Oxford, Oxford, United Kingdom |
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Keywords: Alzheimer's Disease, Quantitative Imaging Morphometric and quantitative MRI metrics have rarely been used simultaneously to characterize healthy aging and Alzheimer’s disease (AD) progression. Here, cortical vertex-wise and hippocampal voxel-wise metrics were extracted to infer atrophy progression (using cortical thickness, surface area or relative Jacobians), myelin and iron contents (T1 and T2* respectively). A data-driven approach was used to parcellate the cortex and the hippocampus. A multivariate statistical technique was used to link hippocampal and cortical metrics to demographics and cognitive scores of interest. Our results suggest that AD-related neural risk is associated with neurodegeneration and microstructural changes in the cortex and hippocampus, respectively. |
| 0421 | 8:15
|
MR Fingerprinting with a Deep Image Prior Reconstruction for Combined T1, T2, and M0 Mapping and Multi-Contrast Cine Imaging |
| Jesse Ian Hamilton1,2, Gastao Lima da Cruz1, Imran Rashid3,4, Sanjay Rajagopalan3,4, and Nicole Seiberlich1,2 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Medicine, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: MR Fingerprinting/Synthetic MR, Cardiovascular, Quantitative Imaging This work introduces a self-supervised deep learning reconstruction for cine Magnetic Resonance Fingerprinting, allowing for simultaneous cardiac phase-resolved T1, T2, and M0 mapping (without motion correction or averaging of data across different phases) and bright-blood and dark-blood cine imaging during a 10-second breathhold, with a temporal resolution (24 phases) comparable to standard cine imaging. Results are presented in simulations using the XCAT phantom and in healthy subjects, where the proposed reconstruction yielded reduced noise, undersampling artifacts, and motion blurring compared to previous low-rank and motion-corrected methods. |
| 0422 | 8:23
|
Fully Automated Online Reconstruction, Registration, and Analysis Pipeline for 3D Magnetic Resonance Fingerprinting |
| Andrew Dupuis1, Rasim Boyacioglu1, Yong Chen1, Michael Hansen2, Kelvin Chow3, Chaitra Badve4, Dan Ma1, and Mark Griswold1 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Microsoft Research, Redmond, WA, United States, 3Siemens Medical Solutions USA, Inc., Chicago, IL, United States, 4Radiology, University Hospitals, Cleveland, OH, United States |
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Keywords: MR Fingerprinting/Synthetic MR, Quantitative Imaging, Gadgetron, Brian Tumor, MNI, FSL, Docker, Automated, Registration In this study, to overcome some of the clinical integration issues of MRF, we present a fully automated online reconstruction and post-processing pipeline for 3D-MRF where the quantitative maps and custom reports are returned to the scanner in real time. The whole pipeline is hosted in a Kubernetes cluster which includes Gadgetron, FSL and other custom tools in discrete Docker images. To illustrate the capability of the pipeline, 3D-MRF raw datasets of healthy and brain tumor patient datasets are reconstructed in a cloud-based Gadgetron, registered to MNI space using FSL and analyzed to compare with population based regional maps. |
| 0423
|
8:31
|
Semi-Supervision for Clinical Contrast-Weighted Image Synthesis from Magnetic Resonance Fingerprinting |
| Mahmut Yurt1, Cagan Alkan1, Sophie Schauman1,2, Xiaozhi Cao1,2, Congyu Liao1,2, Siddharth Iyer1,3, Tolga Cukur4, Shreyas Vasanawala2, John Pauly1, and Kawin Setsompop1,2 | ||
1Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Department of Electrical Engineering, Bilkent University, Ankara, Turkey |
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Keywords: MR Fingerprinting/Synthetic MR, MR Fingerprinting Previous works have introduced deep models to synthesize clinical contrast-weighted images from magnetic resonance fingerprinting (MRF). Although these models achieve high synthesis accuracy, they demand full-supervision from fully-sampled training data of clinical contrasts which might become difficult to acquire across diverse sets due to scan costs. To eliminate undesirable reliance on full-supervision, we introduce a semi-supervised model, ssMRF, that allows training using accelerated references. ssMRF introduces a semi-supervised loss function based only on collected k-space samples of clinical contrasts, and further leverages complementary Poisson disc masks, via a multi-task learning protocol to synergistically synthesize multiple contrasts. |
| 0424 | 8:39
|
Only-Train-Once MR Fingerprinting for B0 and B1 Inhomogeneity Correction in Quantitative Magnetization Transfer Contrast |
| Beomgu Kang1, Munendra Singh2, HyunWook Park1, and Hye-Young Heo2 | ||
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiology, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: MR Fingerprinting/Synthetic MR, Machine Learning/Artificial Intelligence, B0 and B1 correction Magnetization transfer contrast MR fingerprinting (MTC-MRF) enables fast reconstruction of free bulk water and semisolid macromolecules parameters. However, B0 and B1 inhomogeneities that originate from system imperfection can corrupt MR fingerprints, thereby impairing the tissue quantification. We proposed a fast, deep-learning MTC-MRF technique that simultaneously estimates multiple tissue parameters and corrects the effect of B0 and B1 variations. An only-train-once recurrent neural network was designed to perform the fast tissue parameter quantification regardless of MRF acquisition schedule. This allows a dynamic scan-wise linear calibration of the scan parameters using the measured B0 and B1 maps. |
| 0425 | 8:47
|
Optimizing an Accelerated Spin- and Gradient-Echo Sequence for Dynamic MR Vascular Fingerprinting |
| Gregory J. Wheeler1, Linh N.N. Le1, Quimby N. Lee2, and Audrey P. Fan1,2 | ||
1Biomedical Engineering, University of California Davis, Davis, CA, United States, 2Neurology, University of California Davis, Davis, CA, United States |
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Keywords: MR Fingerprinting/Synthetic MR, MR Fingerprinting An accelerated spin- and gradient-echo (SAGE) pulse sequence sensitive to changes in oxygenation has been demonstrated to be suitable for MR vascular fingerprinting (MRvF), potentially enabling quantitative, multiparametric mapping of dynamic vascular physiology. This study aimed to optimize this SAGE sequence and matching algorithms used in MRvF and found that selecting shorter echo times resulted in better signal properties and sensitivity for pattern matching with lower estimation error. This optimization will enable these techniques to be used during dynamic vascular challenges and investigations into multiple, simultaneous functional cerebrovascular biomarkers. |
| 0426 | 8:55
|
Simultaneous Quantification of Relaxation and Diffusion using MR Fingerprinting with Self-Calibrated Subspace Reconstruction |
| Zhilang Qiu1, Siyuan Hu1, Walter Zhao1, Ken Sakaie2, Mark A. Griswold3, Derek K. Jones4, and Dan Ma1 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 3Radiology, Case Western Reserve University, Cleveland, OH, United States, 4Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom |
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Keywords: MR Fingerprinting/Synthetic MR, Diffusion/other diffusion imaging techniques We propose a self-calibrated subspace reconstruction method for multidimensional MR Fingerprinting (mdMRF) scan for simultaneous relaxation and diffusion mapping without pulsation gating. It is distortion-free, unlike EPI-based diffusion MRI. MRF images corrupted by phase errors due to bulk and physiological motions are automatically detected using an outlier detection algorithm and corrected, in order to generate artifact-free relaxation and diffusion maps. |
| 0427
|
9:03
|
Improved Low-Rank and Subspace Reconstruction for Magnetic Resonance Fingerprinting with Self-Navigating Acquisitions |
| Hengfa Lu1, Huihui Ye2,3, and Bo Zhao1,4 | ||
1Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, 2State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China, 3Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China, 4Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States |
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Keywords: Quantitative Imaging, MR Fingerprinting Low-rank and subspace reconstruction methods have achieved state-of-the-art performance for MR Fingerprinting with highly-undersampled data. The existing methods learn the temporal subspace from an ensemble of magnetization evolutions generated from Bloch simulations. In this work, we present a novel self-navigating acquisition scheme for MR Fingerprinting, which utilizes a dual-echo acquisition strategy to enable subspace estimation from physically-acquired training data. The proposed acquisition substantially improves the accuracy of the low-rank and subspace reconstruction, especially when the acquisition length is short. We demonstrate the performance of the proposed method with phantom experiments and in vivo experiments. |
| 0428 | 9:11
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Optimization of Magnetic Resonance Fingerprinting with Subspace Reconstruction |
| Nan Wang1, Xiaozhi Cao1, Siddharth Srinivasan Iyer1,2, Congyu Liao1, Philiip K Lee1, Molin Zhang2, and Kawin Setsompop1,3 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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Keywords: Data Analysis, MR Fingerprinting Cramér-Rao Lower Bound has been used to optimize the acquisition design for MRF, but the effect from undersampling and reconstruction has not been taken into consideration. In this work, we evaluated the estimation error and standard deviation using CRLB optimized acquisition parameters with spiral undersampling trajectory and subspace reconstruction. The results demonstrated that CRLB produced lower estimation variation but is sensitive to the selected number of subspaces. A rank that is too low or two high an increase the estimation error. The dictionary match on coefficient maps provided lower estimation error and variation compared to match on whole time series. |
| 0429 | 9:19
|
Generating Synthetic MR Spectroscopic Imaging using MRI and Single-voxel MR Spectroscopy |
| Shuki Maruyama1 and Hidenori Takeshima2 | ||
1Imaging Modality Group, Advanced Technology Research Department, Research and Development Center, Canon Medical Systems Corporation, Tochigi, Japan, 2Imaging Modality Group, Advanced Technology Research Department, Research and Development Center, Canon Medical Systems Corporation, Kanagawa, Japan |
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Keywords: Machine Learning/Artificial Intelligence, Spectroscopy The authors proposed new methods to generate synthetic proton MR spectroscopic imaging (MRSI) data. The proposed methods were derived from Image-to-Image Translation with Conditional Adversarial Networks (pix2pix), taking MRI data or MRI and single-voxel MR spectroscopy (SVS) data as inputs. To integrate the features of MRI and SVS data, additional encoder and decoder networks were incorporated. The experimental results demonstrated that the proposed methods generated metabolite ratio maps with same resolution as MRI data. The synthetic maps generated from MRI+SVS were more consistent with the reference ones than those generated from MRI alone. |
| 0430 | 9:27
|
Synthesizing Complex Multicoil MRI Data from Magnitude-only Images |
| Nikhil Deveshwar1,2,3, Abhejit Rajagopal1, Efrat Shimron3, Sule Sahin1,2, and Peder E.Z. Larson1,2 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, United States, 3Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence Obtaining paired, diverse and expert annotated medical data is extremely challenging especially for MRI reconstruction since raw data, including phase information is typically discarded from the scan leaving only the magnitude image for clinical assessment and diagnosis. Phase information contains valuable information about physiology, pathology and other tissue characteristics that are useful in developing more robust deep learning MRI reconstruction methods. In this work, we show that state of the art physics-based image reconstruction networks trained on synthetic raw MRI data consisting of synthetic phase and coil information perform comparably to image reconstruction networks trained on ground truth k-space data. |
| 0431 | 9:35
|
MR Motion Fingerprinting |
| Li Feng1 | ||
1Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Motion Correction, MR-Guided Interventions, real-time imaging This work proposes a new framework, called MR motion fingerprinting, for fast real-time 3D MRI with an imaging latency<500ms. MR motion fingerprinting has two stages of imaging. The first stage, called the off-view mode, acquires and reconstructs a 4D motion database consisting of hundreds of real-time 3D images and associated 2D motion fingerprints. The second step, called the live-view mode, only acquires 2D motion fingerprints, which are used to search for matched 3D images from the motion database. This new approach enables efficient, accurate and robust real-time imaging with ultralow latency, which could be used for adaptive radiotherapy on MRI-Linac. |
| 0432 | 9:43
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Characterization of age- and gender-dependent differences in the inter-vertebral disc using MR-Fingerprinting and Textural Analysis |
| Rajiv G Menon1, Anmol Monga1, Richard Kijowski1, and Ravinder Regatte1 | ||
1Radiology, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: MR Fingerprinting/Synthetic MR, Tissue Characterization, degenerative The study investigated age and gender differences in intervertebral disc (IVD) of the lumbar spine using a multiparameter MR fingerprinting (MRF) technique that simultaneously quantify T1, T2 and T1ρ. Seventeen healthy subjects were evaluated. There was a significant positive association between age and T1ρ of the IVD and between age and various gray level co-occurrence matrix features of T1 maps on texture analysis. There were no significant differences between males and females in T1, T2 and T1ρ of the IVD. The results demonstrate that multi-parameter MRF can effectively characterize early age-related IVD degeneration. |
| 0433 | 9:51
|
MRF-derived T1 and T2 map alterations in four different brain atrophy patterns in a cohort of MCI subjects |
| Paolo Bosco1, Laura Biagi1, Matteo Cencini1, Marta Lancione1, Michela Matteoli2, Simona Cintoli3, Alessandro Sale2, Nicoletta Berardi2, Michela Tosetti1, and the Train the Brain Consortium4 | ||
1IRCCS Stella Maris Foundation, Pisa, Italy, 2Institute of Neuroscience of the CNR, Pisa, Italy, 3Azienda Ospedaliero Universitaria Pisana, Pisa, Italy, 4the Train the Brain Consortium, Pisa, Italy |
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Keywords: MR Fingerprinting/Synthetic MR, Alzheimer's Disease Brain atrophy evaluation is crucial in the assessment of neurodegenerative diseases. However, the most common MRI measures (mostly T1-weighted derived) cannot be considered as quantitative. In this study we use T1-weighted images to identify homogeneous groups of MCI subjects in terms of brain atrophy and we assessed the capability of T1 and T2 quantification through MRF technique to elucidate at voxel level the brain alterations with respect to an age-matched healthy population. Indeed, atrophy patterns can be identified in both T1 and T2 maps paving the way to innovative brain atrophy assessment in a quantitative fashion. |
| 0434 | 9:59
|
Combining T2-weighted and synthetic double inversion recovery magnetic resonance imaging improved rectal cancer T staging |
| Zi Wang1, Jiankun Dai2, and Shudong Hu1 | ||
1Affiliated Hospital of Jiangnan University, wuxi, China, 2MR Reseach,GE Healthcare, Beijing, China |
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Keywords: MR Fingerprinting/Synthetic MR, Cancer, rectal neoplasms; neoplasm staging; This study aimed at investigating the role of synthetic double inversion recovery (SyDIR) magnetic resonance imaging (MRI) in staging rectal cancer (RC). 79 pathologically confirmed RC patients were retrospectively selected. Our results showed SyDIR can provided RC anatomical features for muscular infiltration detection. Compared with using T2WI alone, the combination of T2WI and SyDIR improved the diagnose performance of muscle layer invasion and significantly increase the staging consistency between MRI and pathology for both junior and senior radiologist. Our study indicated the combination of T2WI and SyDIR would be beneficial for RC treatment selection. |
| 0435 | 10:07
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Water Suppression of T1 map and Synthetic Inversion Recovery images in T2-based Water Suppression Synthetic MRI (T2wsup-synMRI) |
| Tokunori Kimura1, Natsumi Yamagishi1, Yuki Masuda1, and Mitsuyo Ito1 | ||
1Radiokogical engineering, Shizuoka College of Medical care Science, Hamamatsu, Japan |
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Keywords: MR Fingerprinting/Synthetic MR, Brain The purpose of this study was to propose a new technique to provide water suppression (wsup) T1 maps by modifying our already proposed T2wsup technique, then to assess the effects of wsup-T1 on longitudinal magnetization (Mz) in synthetic MRI images of FLAIR and DIR by a simulation and an in-vivo MR study. The errors in DIR at CSF-tissue mixed portions were non-negligible with std-T1 but could be reduced with wsup-T1. The T2wsup-SynMRI technique can provide 3 kinds of water suppressed quantitative maps and the same contrasts synthetically as the acquired IR sequences of FLAIR and DIR. |
| 0436
|
8:15
|
Endometriosis targeted MRI imaging using bevacizumab-modified nanoparticles aiming at vascular endothelial growth factor |
| Qi Zhang1, Caixia Fu2, Qing Li3, and Yajie Li4 | ||
1Department of Radiology, Huashan hospital, Fudan University, Shanghai, China, 2MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3MR Collaborations, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China, 4Fudan University, Shanghai, China |
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Keywords: Uterus, Molecular Imaging In vivo, NPBCNs generated strong signal enhancement in endometriosis lesion in rat on T1-weighted images via MRI. |
| 0437
|
8:23
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Using deep learning to identify LNM and LVSI of endometrial cancer from conventional MRI: a preliminary two-center study |
| Yida Wang1, He Zhang2, Xiance Zhao3, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Uterus, Cancer We developed a multi-task deep learning model using multi-parametric MRI to simultaneously predict lymphatic nodes metastasis (LNM) and lymphatic vascular space invasion (LVSI) in patients with endometrial cancer. Cross-modality attention mechanism was integrated with the model to learn the within and cross modality-specific features which could enhance the performance of network. In this study, we also treated endometrial cancer regions as the anatomical prior knowledge to capture the discriminative information from the whole MR images. The results showed the proposed model predicted LNM and LVSI with a high accuracy in both internal and external test datasets. |
| 0438 | 8:31
|
APT weighted imaging combined with IVIM to evaluate Her-2 gene expression in endometrial cancer |
| Ma Changjun1, Tian Shifeng1, Song Qingling1, Chen Lihua1, Wang Nan2, Lin Liangjie3, Wang Jiazheng4, and Liu Ailian1 | ||
1Department of Radiology,, The First Affiliated Hospital of Dalian Medical University, Dalian, China, China, 2Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, China, 3Clinical & Technical Support, Philips Healthcare, Beijing, China, China, 4Clinical & Technical Support, Philips Healthcare, Shanghai, China, China |
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Keywords: Pelvis, Quantitative Imaging it is necessary to find a method for non-invasive monitoring of Her-2 status. MRI with characteristics of multi-direction, multi-parameter, multi-function, high soft-tissue resolution, and non-invasiveness, has become the preferred method for evaluation of uterine lesions. |
| 0439 | 8:39
|
Radiomics of Multiparametric MRI in Tumor Grading of Endometrial Cancer |
| Yiang Wang1, Mengge He1, Peng Cao1, Chien-Yuan Lin2, Weiyin Liu2, Chia-Wei Lee2, and Elaine Y.P. Lee1 | ||
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2GE Healthcare, Taipei, Taiwan |
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Keywords: Uterus, Cancer, Endometrial Cancer; Tumor Grade Random forest models were constructed to predict tumor grade (grade 1-2 vs. grade 3) of endometrial cancer based on radiomics features extracted from quantitative T1, T2, proton density maps generated by synthetic MRI and apparent diffusion coefficient maps generated by diffusion-weighted imaging. The classification model based on features extracted from all the quantitative maps achieved the highest area under the curve of 0.804 compared to models constructed based on single quantitative map. |
| 0440
|
8:47
|
Accelerated multi-shot diffusion MRI using deep learning denoising |
| Or Alus1, Maria El Homsi2, Lee Rodriguez2, Yousef Mazaheri1,2, Youngwook Kee1, Iva Petkovska2, and Ricardo Otazo1,2 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Pelvis, Diffusion/other diffusion imaging techniques, image reconstruction Multi-shot EPI is commonly used to compensate for geometric distortions and increase spatial resolution in body diffusion MRI, with a price tag of longer scan times. This work presents an alternative technique to k-space undersampling to accelerate the acquisition, which is based on reducing the number of repetitions at high b-value and denoising the resulting images using a convolutional neural network. The proposed deep learning denoising technique is demonstrated to accelerate the acquisition of multi-shot diffusion MRI acquisition of patients with rectal cancer and reduce the scan time beyond the duration of a single-shot diffusion MRI acquisition. |
| 0441 | 8:55
|
The value of diffusion-relaxation correlation spectrum imaging in differential diagnosis of early and advanced squamous cervical carcinoma |
| Yihe Gao1, Ke Xue2, Yongming Dai2, and Jing Ye1 | ||
1Northern Jiangsu People's Hospital, Yangzhou, Jiangsu Province, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, Shanghai, China |
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Keywords: Uterus, Microstructure, multi dimension Accurately staging squamous cell carcinoma (SCC) is of vital importance for determining the treatment plan, prognosis and outcome. Diffusion-relaxation correlation spectrum imaging (DR-CSI) can jointly encode diffusion and relaxation information and resolve information of tissue compartments and heterogeneity at a sub-voxel level. In this study we investigated the feasibility of DR-CSI in characterizing tissue microenvironment and staging SCC. The DR-CSI technique can non-invasively provide information on microscopic tissue compartments within voxels, reflecting intra-tissue heterogeneity. The diagnostic performance of DR-CSI in identifying early and advanced SCC was significantly superior to conventional ADC and T2. |
| 0442 | 9:03
|
Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM |
| Zhonghong Xin1, Junqiang Lei1, Jianhong Peng2, Xiande Lu2, Jiang Nan2, Yaping Zhang2, Xiaohui Wang2, Jun Zhu2, and Jianxiu Lian3 | ||
1Radiology, the First Hospital of Lanzhou University, Lanzhou, China, 2the First Hospital of Lanzhou University, Lanzhou, China, 3Philips Healthcare, Beijing, China |
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Keywords: Uterus, Diffusion/other diffusion imaging techniques, amide proton transfer weighted imaging,cervical cancer,squamous cell carcinoma of the cervix The pathological differentiation of cervical squamous cell carcinoma (CSCC) determines the therapy method and prognosis. APTw, DWI and IVIM sequences were performed for predicting pathological differentiation. 27 patients with well-moderately differentiation, 13 patients with poorly differentiation and 15 healthy volunteers were enrolled. APT SI, ADC, D*, D and f values were calculated for comparing among different groups. Results showed parameters except D* differed significantly between CSCC and normal. There were statistically significant differences in AUC of APT SI, D and f between well-moderately group and poorly differentiated group. APTw and IVIM can be used to identify pathological differentiation of CSCC. |
| 0443 | 9:11
|
Can 3D APTw Imaging improve the differential diagnosis ability of traditional MRI in Ovarian Cystadenoma and Cystadenocarcinoma？ |
| Yibei Yu1, Xiaolei Song2, Lixue Wang1, Dandan Zheng3, and Zhuozhao Zheng1 | ||
1Radiology department, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China, 2Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China, 3Clinical& Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Pelvis, CEST & MT The therapies for ovarian cystadenoma and cystadenocarcinoma are different, thus the differential diagnosis of ovarian lesions is critical. The diagnostic efficacy increased with the use of DWI and DCE-MRI, but the differential diagnosis of cystic ovarian lesions is still a challenge. This study evaluates the diagnostic efficacy of 3D APTw MRI in the differentiation between cystadenoma and cystadenocarcinoma based on the analysis of the cystic regions. The results showed that APTw SIs had better diagnostic performance than ADC values and may be used as a noninvasive tool for differential diagnosis and therapy guidance. |
| 0444 | 9:19
|
Microcirculatory changes in the uterus of women during the menstrual cycle - based on intravoxel incoherent motion MRI |
| Yajie Li1,2, Qi Zhang2, Caixia Fu3, Qing Li4, and Robert Grimm5 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2Department of Radiology, Huashan Hospital, Shanghai, China, 3MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 4MR Collaborations, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China, 5MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Uterus, Diffusion/other diffusion imaging techniques, Intravoxel incoherent motion, Microcirculation, Perfusion Purpose: To assess the feasibility of intravoxel incoherent motion MRI on detecting the microcirculatory changes in the uterus of women during the menstrual cycle. Methods: Volunteers underwent MRI scans by using IVIM. The changes of D value, D* and f value of three layers of uterine structure during menstrual cycle were analyzed quantitatively. Results: During menstrual cycle, the D values of junctional zone were significantly lower than in myometrium. Meanwhile, the f values of the three zones structure of uterus were significantly different. Conclusion: IVIM can be used for noninvasive and quantitative evaluation of uterine blood microcirculation changes. |
| 0445 | 9:27
|
Mapping Placenta Structure and Function with Low-Field MRI |
| Paddy J. Slator1, Jana Hutter 2,3, Raphael Tomi Tricot2,3,4, Jordina Aviles Verdera2,3, Joseph V. Hajnal2,3, and Daniel C. Alexander1 | ||
1Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedicial Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Keywords: Placenta, Low-Field MRI Placental MRI is emerging as a promising adjunct to ultrasound during pregnancy. Low field MRI is appealing for multiple reasons and can support the widespread roll out of placental MRI. Here we provide a proof-of-concept that a quantitative placental imaging technique that has been demonstrated at high-field (1.5T / 3T) – combined T2*-diffusion MRI – is also viable at low field (0.55T). We highlight similarities and differences in low-field maps compared to the current state-of-the-art high-field maps and highlight key areas for future work to realise the potential of low-field placental quantitative MRI during pregnancy. |
| 0446 | 9:35
|
Assessing within-subject rates of change of placental magnetic resonance imaging diffusion metrics |
| Daniel Cromb1,2, Paddy J Slator3, Anthony Price1,2, Miguel De La Fuente1, Alexia Egloff-Collado1, Mary Rutherford1,4, Serena J Counsell1,2, and Jana J Hutter1,2 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom |
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Keywords: Placenta, Placenta This study provides unique data on the evolution of quantitative multi-modal placenta MRl measures over gestation, including, crucially, within-subject results. A multi-compartmental T2*-IVIM model was employed, suited to the complex physiology of the human placenta, and matched to the deployed multi-parametric acquisition technique. |
| 0447 | 9:43
|
The effects of maternal flow on placental DWI data |
| George Hutchinson1, Adam Blakey2, Neele Dellschaft1, Nia Jones3, Reuben O'Dea2, Lopa Leach4, Matthew Hubbard2, Paul Houston2, and Penny Gowland1 | ||
1The Sir Peter Mansfield Imaging Centre, The University of Nottingham, Nottingham, United Kingdom, 2Mathematical Sciences, The University of Nottingham, Nottingham, United Kingdom, 3Medicine, The University of Nottingham, Nottingham, United Kingdom, 4Life Sciences, The University of Nottingham, Nottingham, United Kingdom |
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Keywords: Placenta, Diffusion/other diffusion imaging techniques Placental diffusion imaging data is assumed to be driven by a combination of slow diffusive processes, as well as faster incoherent terms. How these faster incoherent terms combine within a voxel is not obvious, and here we investigate this further by comparing a mathematical simulation of maternal flow through a single placentone to data collected in utero. We observe maternal flows can cause IVIM like effects, with slow exponential decays, but also regions of fast IVIM similar to those observed in the placenta, as well as 'rebounding' of signal. |
| 0448 | 9:51
|
Inspecting placental microstructure in pregnancies affected by fetal congenital heart disease |
| Daniel Cromb1,2, Paddy J Slator3, Anthony Price1,2, Megan Hall1,2, Daniel Alexander3, Joseph V Hajnal1,2, Mary Rutherford1,4, Jana Hutter1,2, and Serena J Counsell1,2 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom |
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Keywords: Placenta, Placenta, Diffusion, Microstructure Congenital heart disease (CHD) is common and associated with abnormal placental development. We used novel diffusion MRI acquisition and analysis techniques to inspect placental microstructure in pregnancies affected by congenital heart disease (CHD), highlighting the potential value of this approach for in-utero identification of how placental development may deviate from normal in CHD. |
| 0449
|
9:59
|
A deep learning pipeline using priori knowledge for automatic evaluation of placenta accreta spectrum disorders with MRI |
| Haijie Wang1, Yida Wang1, Chenglong Wang1, He Zhang2, Hao Zhu3, Yuanyuan Lu4, Yang Song5, and Guang Yang1 | ||
1Shanghai key lab of magnetic resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, 3Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, 4Department of Radiology, Shanghai First Maternity and Infant Health Hospital, Shanghai, China, 5MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Keywords: Placenta, Placenta Placenta accreta spectrum (PAS) is a pathologic condition of placentation associated with significant maternal morbidity and mortality. We enrolled 540 patients from two institutions to build an automatic pipeline for early diagnosis of PAS based on T2W images. An nnU-Net model was trained for automatic segmentation of the placenta, then an image stripe was created, in which utero-placental borderline (UPB) was straightened and centered. The UPB image was fed into a DenseNet-based network together with placental position for PAS diagnosis. The pipeline achieved good performance with AUCs of 0.860 and 0.897 in internal and external test cohorts, respectively. |
| 0450
|
10:07
|
Cotyledon-Specific Flow Evaluation of Rhesus Macaque Placental Injury using Ferumoxytol Dynamic Contrast Enhanced MRI |
| Ruiming Chen1, Daniel Seiter1, Logan T. Keding2,3, Jessica Vazquez2,3, Kathleen Antony4, Heather A. Simmons2,3, Kevin M. Johnson1,5,6, Aleksandar K. Stanic4, Ruo-Yu Liu1, Dinesh Shah4, Thaddus G. Golos2,3, and Oliver Wieben1,5,6 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Wisconsin National Primate Research Center, University of Wisconsin - Madison, Madison, WI, United States, 3Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, United States, 4Obstetrics & Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 5Radiology, University of Wisconsin - Madison, Madison, WI, United States, 6Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Keywords: Placenta, DSC & DCE Perfusion Placental blood flow is a marker that reflects the health of the utero-placental vasculature. Dynamic contrast-enhanced (DCE) MRI is more robust than arterial spin labeling and can be utilized in animal models to provide cotyledon-specific blood flow and blood volume measurements in vivo throughout gestation. This study investigated the distribution of blood flow to the placental at a cotyledon level in pregnant rhesus monkeys before and following the injection of Tisseel (a fibrin sealant) and MCP1 (an inflammatory response inducer) to assess the predictabilities of flow for placental injury. |
| 0451 | Pitch: 8:15 Poster: 8:15 Screen 1
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Affinity of Structural White Matter Tracts between Infant and Adult Pigs |
| Wenwu Sun1, Ishfaque Ahmed1, Stephanie Dubrof2, Franklin West3, Hea Jin Park2, and Qun Zhao1 | ||
1Department of Physics and Astronomy, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, United States, 2College of Family and Consumer Sciences, University of Georgia, Athens, GA, United States, 3Regenerative Bioscience Center, University of Georgia, Athens, GA, United States |
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Keywords: Brain Connectivity, Diffusion/other diffusion imaging techniques, Tractography Affinity of structural white matter tracts during development is critical for longitudinal studies of many neurological diseases and brain injuries. Diffusion weighted imaging (DWI) data was collected from 3-week-old piglets. Data-driven tractography analysis was applied to profile white matter tracts for the piglets, which were then compared to recently reported 27 adult pig white matter tracts. Among the 27 tracts, 17 were found with consistent high spatial correlations between infant and adult pigs. This result provides possibilities to further study white matter during development, and to evaluate how different interventions (e.g., TBI) alter the brain myelination trajectory. |
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WITHDRAWN |
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Repetitive Mild Traumatic Brain Injury Induces Significant Changes on Functional Connectivity with Different Impact Numbers in Rats |
| Yi-Han Kao1, Chia-Feng Lu1, Bao-Yu Hsieh2,3, and Yu-Chieh Jill Kao1 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming Chiao-Tung University, Taipei, Taiwan, 2Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, 3Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan |
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Keywords: Traumatic brain injury, Animals, rsfMRI In the current study, we discussed about changes of brain connectivity through rsfMRI and behavioral performances following repetitive mild traumatic brain injury (rmTBI) with different impact numbers and intervals. In rats with larger impact number but longer inter-injury interval, may show anxiety-like behavior with the significant reduction of connectivity in their DMN. |
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Simultaneous Measurements of GABA, Glx and GSH in the Thalamus in Patients with Mild Traumatic Brain Injury: A Preliminary Study |
| Xiao Liang1, Muhammad G Saleh1, Rosy Linda Njonkou Tchoquessi1, Alexa G. Colinco1, Steve Roys1, Prashant Raghavan1, Rao P Gullapalli1, and Jiachen Zhuo1 | ||
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States |
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Keywords: Traumatic brain injury, Spectroscopy, Thalamus, HERMES In this study, we report the preliminary results of simultaneous measurements of GABA, Glx (glutamate + glutamine), and GSH in the thalamus using HERMES in the mTBI patients. HERMES was acquired in the thalamus for patients in acute, subacute, and chronic stages, and control subjects as reference using optimized acquisition and processing. Metabolite fitting were performed in Gannet with spectral alignment. The results demonstrate that HERMES can maintain the spectral and fitting quality in the mTBI patients versus the control subjects. Differences in the metabolite levels warrant accruing a larger number of patients for a more definite evaluation. |
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Exploring whether differences in brain diffusion MRI metrics distinguish symptom phenotypes in athletes exposed to repetitive head impacts. |
| Joshua P McGeown1,2, Maryam Tayebi1,3, Matthew A McDonald1,4, Paul Condron1, Samantha Holdsworth1,5, Leigh Potter1,6, Davidson Taylor1,7, Patrick McHugh1,8, Miao Qiao9, Jerome Maller10, Justin Fernandez3, Vickie Shim1,3, Mangor Pedersen11, and Eryn E Kwon1,3,5 | ||
1Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand, 2Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand, 3Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 4Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand, 5Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand, 6Ngāti Porou, Ngāti Kahungunu, Rongomaiwahine, Rongowhakaata, Tairāwhiti-Gisborne, New Zealand, 7Ngai Tāmanuhiri, Rongowhakaata, Ngāti Porou, Tairāwhiti, New Zealand, 8Turanga Health, Tairāwhiti-Gisborne, New Zealand, 9School of Computer Science, Faculty of Science, University of Auckland, Auckland, New Zealand, 10General Electric Healthcare, Victoria, Australia, 11Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand |
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Keywords: Traumatic brain injury, Diffusion Tensor Imaging, Symptomology It is important to account for the heterogeneity of clinical presentation when studying mild traumatic brain injury (mTBI) with advanced brain imaging. We used post-season symptom data from a cohort of rugby players exposed to repetitive head impacts, and we applied unsupervised learning to cluster athletes into clinically distinct groups. We explored whether these clusters demonstrated post-season group differences in white matter tracts compared to controls. This analysis framework suggests that group differences of diffusion metrics in athletes exposed to repetitive head impacts may be associated with clinical presentation rather than generalisable across all participants. |
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Association between brain metabolites and head impact exposure measured with MRS in a cohort of high school American football athletes |
| Zexuan Liu1, Jonathan A. Dudley2, Nadine Ahmed3, Jed A. Diekfuss4,5,6, David A. Edmondson2,7, Kim M. Cecil2,7, Weihong Yuan2,7, Taylor M. Zuleger4,5,6,8, Alexis B. Slutsky-Ganesh4,5,6,9, Kim D. Barber Foss4,5,6, Gregory D. Myer4,5,6,10, and Candace C. Fleischer1,11 | ||
1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, 2Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Department of Neuroscience, Georgia Institute of Technology, Atlanta, GA, United States, 4Emory Sports Performance And Research Center (SPARC), Flowery Branch, GA, United States, 5Emory Sports Medicine Center, Atlanta, GA, United States, 6Department of Orthopedics, Emory University School of Medicine, Atlanta, GA, United States, 7Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 8Neuroscience Graduate Program, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 9Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, United States, 10The Micheli Center for Sports Injury Prevention, Waltham, MA, United States, 11Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States |
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Keywords: Traumatic brain injury, Spectroscopy Diagnosis and prognosis of sports-related concussion is challenging. In this prospective controlled clinical trial of 215 high school American football athletes, we evaluated relationships between brain metabolite and head impacts as a function of concussion diagnosis and wearing a jugular vein compression (JVC) collar. Changes in total choline between pre- and post-season, measured with MR spectroscopy, were positively correlated with mean g-force thresholds above 80g in athletes diagnosed with a concussion, suggesting choline may be a key metric of injury. Metabolite alterations were minimally affected by the JVC collar and only at mean g-force thresholds of 100, 110 and 120g. |
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Abnormal spontaneous brain fluctuations present in retired football players |
| Ethan Danielli1,2,3, Bhanu Sharma3,4, Cameron E Nowikow2,3, and Michael D Noseworthy2,3,4,5 | ||
1KITE, Toronto Rehabilitation Institute, Toronto, ON, Canada, 2School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 3Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 4Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 5Radiology, McMaster University, Hamilton, ON, Canada |
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Keywords: Traumatic brain injury, fMRI (resting state), ALFF Novel methods are required to understand the scale of potential brain changes in collision sport athletes. with many former athletes having developed neurocognitive deficits or neurological disorders. This study used resting state functional MRI (rsfMRI) to examine if retired professional football players (n=18) had functional brain abnormalities based on a personalized amplitude of low-frequency fluctuations (ALFF) and Z-scoring approach. Brain injuries were identified if the ALFF Z-score exceeded 3 standard deviations from the healthy control mean. Thirty regions were abnormal in more than half of the retired athletes. Cerebellar and central, sub-cortical brain regions were most often seriously abnormal. |
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MRI Detection of Glymphatic Function in athletes after Sports-related Concussion |
| Laiyang Ma1, Wanjun Hu1, Jing Zhang1, Wenjing Huang1, and Yuhui Xiong2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2MR Research, GE Healthcare MR Research, Beijing, China |
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Keywords: Traumatic brain injury, Diffusion/other diffusion imaging techniques Diffusion tensor image analysis along the perivascular space (DTI-ALPS) as a non-invasive method for evaluating the activity of the glymphatic system in human brain by using diffusion images. In this study, DTI-ALPS was used to evaluate the activity of the human lymphatic system in patients with Sports-related concussion (SRC). We found SRC has a higher ALPS index compared to the healthy controls. Our findings suggested that abnormal glymphatic function in brain might be a potential biomarker for explaining the cognitive function decline of SRC. |
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Classifying patients with chronic mild traumatic brain injury: a rs-fMRI study and support vector machine analysis |
| Faezeh Vedaei1, Najmeh Mashhadi2, George Zabrecky1, Daniel Monti1, Emily Navarreto1, Chloe Hriso1, Nancy Wintering1, Andrew B. Newberg1, and Feroze B. Mohamed1 | ||
1Thomas Jefferson University, Philadelphia, PA, United States, 2University of California-Santa Cruz, Santa Crus, CA, United States |
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Keywords: Traumatic brain injury, fMRI (resting state) Machine learning classification of patients with chronic mild traumatic brain injury using rs-fMRI metrics |
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MRE-based assessment of impairment of mechanical isolation at the skull-brain interface resulting from sports-related head impact exposure |
| Xiang Shan1, Matthew C. Murphy1, Yi Sui1, Keni Zheng1, Armando Manduca2, Richard L. Ehman1, John Huston III1, and Ziying Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States |
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Keywords: Traumatic brain injury, Elastography, Repeated head impact Increasing recognition of the effect of repeated head impacts (RHI) in leading to neurologic impairment and higher risk of subsequent traumatic head injury, has motivated for developing technology to assess the status of the mechanism of mechanical isolation provided by the structures within the skull-brain interface, known as the pia-arachnoid complex (PAC). To evaluate the RHI-induced PAC alternations, we compared MR elastography-based measures (rotational transmission ratio [Rtr] and cortical normalized octahedral shear strain [NOSS]) between healthy and sports-related RHI subjects. Significantly higher Rtr and cortical NOSS were found among RHI individuals, showing their potential in assessing the effect of RHI. |
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Influence of White Matter Microstructure on Interhemispheric Processing Speed After Mild Traumatic Brain Injury Using Advanced Diffusion MRI |
| Sohae Chung1,2, Tamar Bacon3, Joseph F. Rath4, Alaleh Alivar1,2, Santiago Coelho1,2, Prin X. Amorapanth4, Els X. Fieremans1,2, Dmitry S. Novikov1,2, Steven R. Flanagan4, Joshua H. Bacon3, and Yvonne W. Lui1,2 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 4Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Traumatic brain injury, Diffusion/other diffusion imaging techniques The corpus callosum (CC) is especially vulnerable to mild traumatic brain injury (MTBI). Since it connects left and right cerebral hemispheres, damage to the CC or neighbor white matter (WM) pathways may specifically disrupt interhemispheric communication. Here we employ a mediation framework to study the collaboration between tissue microstructure of the CC and neighbor WM pathways that may influence interhemispheric processing. Our results show different patterns in individuals with recent MTBI compared to healthy controls in terms of the relationships between callosal microstructure and interhemispheric communication mediated by other pathways, highlighting tracks specifically related to primary visual and language processes. |
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Quantitative Susceptibility Mapping in Patients with Persistent-Post Concussion Symptoms |
| Tiffany K Bell1,2,3, Muhammad Ansari4, Leah Mercier2,5, David G Gobbi6, Richard Frayne1,2,5,6, Chantel Debert2,5, and Ashley D Harris1,2,3 | ||
1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 4Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada, 5Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada, 6Calgary Image Processing and Analysis Centre, University of Calgary, Calgary, AB, Canada |
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Keywords: Traumatic brain injury, Quantitative Susceptibility mapping, "Persistent Post-Concussion Symptoms" Twenty percent of people experience symptoms months to years following a concussion, known as persistent post concussive symptoms (PPCS). We used quantitative susceptibility mapping (QSM) to measure tissue susceptibility in white matter tracts of patients with PPCS. We provide preliminary evidence for alterations in white matter susceptibility in patients with PPCS and show that susceptibility levels are correlated with symptom severity. We hypothesise altered susceptibility is related to gliosis, resulting in sustained inflammation. Further, this study demonstrates the potential application of QSM to provide novel information on the pathophysiology of PPCS. |
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Comparing self-reporting concussion assessments with an objective Diffusion Tensor Imaging (DTI) and resting state MRI (rsMRI) based measure |
| Nicholas M Simard1, Michael D Noseworthy1,2,3,4, Dinesh A Kumbhare5,6, Stephan Ulmer7,8, and Ethan Danielli2 | ||
1Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 2School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 3Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 4Radiology, McMaster University, Hamilton, ON, Canada, 5Toronto Rehabilitation Institute, Toronto, ON, Canada, 6Medicine, University of Toronto, Toronto, ON, Canada, 7neurorad.ch, Zurich, Switzerland, 8Radiology & Neuroradiology, University hospital of Schleswig-Holstein, Kiel, Germany |
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Keywords: Traumatic brain injury, Brain Connectivity, Gray Matter, White Matter Traditional concussion self-reporting has significant limitations due to its subjectivity and inconsistency, therefore a more objective MRI-based approach is proposed in this research. A concussion population was assessed using the traditional PCSS method versus DTI anisotropy analysis and rsMRI complexity analysis. Concussed patients were compared to large age and sex matched datasets and a Z-transform was used on white and gray matter ROIs to identify injured areas in the cerebrum. A weighted mean equation was then used to compare Z-scores to the 7-point PCSS. Results confirmed sex differences in self reporting and shows promise as a future objective assessment tool. |
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Longitudinal QSM imaging reveals disrupted subcortical white matter maturation in football vs volleyball college athletes |
| Marios Georgiadis1, Mahta Karimpoor1, Pascal Spincemaille2, Alexey Dimov2, Brian Mills1, Maged Goubran1, Hossein Moein Taghavi1, Nicole Mouchawar1, Sohrab Sami1, Max Wintermark1, Gerald Grant1, David Camarillo1, Yi Wang2, and Michael Zeineh1 | ||
1Stanford University School of Medicine, Stanford, CA, United States, 2Weill Cornell Medical College, New York, NY, United States |
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Keywords: Traumatic brain injury, Quantitative Susceptibility mapping Head impacts in sports may cause long-term brain changes. Here, we assessed quantitative susceptibility mapping (QSM) changes over multiple seasons in high-contact American football vs low-contact volleyball college athletes using the multi-echo complex total field inversion (mcTFI) method. We found widespread changes over time (likely developmental) in all athletes, while time-independent sports differences were detected by R2*. mcTFI revealed an altered QSM trajectory in the white matter (total and subcortical) between sports: QSM increased in volleyball athletes but changed minimally in football, likely indicating disrupted subcortical white matter maturation in football. QSM can sensitively detect longitudinal changes in contact sports. |
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Distortion-corrected cervical spine diffusion-weighted imaging at 3.0T |
| Zheng Sun1, Peng Wu2, Xiance Zhao2, and Kan Deng3 | ||
1Shanghai Sixth People's Hospital, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: Head & Neck/ENT, Spinal Cord Diffusion-weighted imaging (DWI) could benefit the detection and evaluation of the spine and spinal cord pathologies. Traditional single-shot EPI (SS-EPI) DWI suffers from a large geometry distortion due to the inhomogeneous B0 field and the low bandwidth in the phase encoding direction. This work demonstrated the application of an EPI geometry correction method for the cervical spine which can improve the geometry accuracy of the DWI images. |
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Effect of iterative denoising in automated white matter hyperintensities segmentation using accelerated FLAIR sequences |
| Ricardo Alberto Corredor-Jerez1,2,3, Mathilde Carrière4, Thierry Chaptal5, Bénédicte Maréchal1,2,3, Tobias Kober1,2,3, Xavier Ayrignac6, Nicolas Menjot de Champfleur4,5, Thomas Troalen7, and Emmanuelle Le Bars4,5 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Neuroradiology, Hospital and University of Montpellier, Montpellier, France, 5Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, Montpellier, France, 6Department of Neurology, Gui de Chauliac Montpellier University Hospital, Montpellier, Switzerland, 7Siemens Healthcare SAS, Saint-Denis, France |
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Keywords: Multiple Sclerosis, Segmentation, Fast MR Protocols Acquisition time in brain MR protocols can be reduced using acceleration techniques like CAIPIRINHA. The inherent increase of noise due to their undersampling schemes can be mitigated with additional processing methods. Iterative denoising has shown good performance filtering images in k-space while preserving image details. This work evaluates the impact of iterative denoising on automated segmentation of white matter hyperintensities using CAIPIRINHA 3D FLAIR and compressed sensing 3D MPRAGE. Reliable segmentations were generated across different denoising levels (45% to 85%); small structures presented lower detection rates with stronger denoising (≥75%). These findings are revelant for designing optimized brain imaging protocols. |
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Brain white matter alterations in military service members after a remote mild traumatic brain injury |
| Ping-Hong Yeh1, Chihwa Song1, Rujirutana Srikanchana1, Cheng Guan Koay1, Wei Liu1, Grant Bonavia1, and John Ollinger1 | ||
1National Intrepid Center of Excellence,Walter Reed National Military Medical Center, Bethesda, MD, United States |
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Keywords: Traumatic brain injury, Traumatic brain injury In this study, we applied non-Gaussian diffusion MRI, including bi-tensor diffusion tensor imaging, diffusion kurtosis imaging, neurite orientation dispersion and density imaging and fixel-based analysis, to assess white matter disruption after a remote brain injury. The findings of both increased and decreased orientation distribution index over the forceps major and forceps minor of the corpus callous, along with increased fiber density and fiber cross-sectional area of fiber bundle over the anterior frontal region suggests a mixed pattern of white matter alterations, e.g. loosely white matter such as gliosis along with neuroplasticity and brain repair after a remote mild traumatic brain injury. |
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White matter changes detected based on multi-component MR Fingerprinting in Multiple Sclerosis |
| Martijn Nagtegaal1,2, Ingo Hermann1,3, Sebastian Weingärtner1, Eloy Martines-Heras4, Elisabet Solano4, Sare Llufriu4, Achim Gass5, Dirk H. J. Poot6, Matthias J.P. van Osch2, Frans M. Vos1,6, and Jeroen de Bresser7 | ||
1Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 2C.J. Gorter MRI Center, Radiology Department, Leiden University Medical Center, Leiden, Netherlands, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Neuroimmunology and Multiple Sclerosis Unit and Laboratory of Advanced Imaging in Neuroimmunological Diseases (ImaginEM), Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain, 5Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 6Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 7Department of Radiology, Leiden University Medical Center, Leiden, Netherlands |
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Keywords: Multiple Sclerosis, MR Fingerprinting White matter hyperintensities are an MRI biomarker of Multiple Sclerosis (MS). However, not all white matter changes are visible on conventional, qualitative MRI. We applied a multi-component MR Fingerprinting protocol to identify potential white matter abnormalities based on increased $$$T_2^*$$$-values. FLAIR and MRF scans were performed in 44 MS patients and 12 healthy control subjects. Significant differences were found in the volume of MRF components with 500ms<$$$T_1, T_2^*$$$<2.5s. This volume correlated moderately with white matter damage on structural MR images. The MRF approach identified larger abnormal tissue volumes than those visible on the structural scans. |
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Structural covariance in subcortical regions in MS and NMOSD: An MRI-based study with automated brain volumetry |
| Yan Xie1, Yan Zhang1, Chengxia Liu1, and Wenzhen Zhu1 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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Keywords: Multiple Sclerosis, Multiple Sclerosis MS and NMOSD, as two major demyelinating diseases of the CNS, both could cause brain structural volume changes. Moreover, the synergistic volume changes between brain regions can reflect the intrinsic connection network between these regions, which is helpful to further explore the underlying pathophysiological changes of the disease. Our study identified volumetric changes and structural covariance in subcortical regions in MS and NMOSD patients. Furthermore, MS and NMOSD patients had distinct patterns of anatomical connection in brain regions, which reflected the different underlying damage to brain structures in the two diseases. |
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Mouse sleep fMRI with simultaneous electrophysiology at 9.4T |
| Yalin Yu1, Yue Qiu2, Chuanjun Tong3, and Zhifeng Liang1 | ||
1Institute of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China, Shanghai, China, 2Department of Anesthesia, Zhongshan Hospital, Fudan University, Shanghai, China, Shanghai, China, 3School of Biomedical Engineering, Southern Medical University, Guangzhou, China, Shanghai, China |
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Keywords: Data Analysis, Brain Simultaneous electrophysiology and fMRI could provide both macroscopic and microscopic observations, but it is highly technically challenging and not widely used in sleep research. We developed mouse sleep fMRI based on simultaneous electrophysiology at 9.4T and allowed manifestation of the full sleep cycle (NREM/REM) during fMRI. The results revealed global state-dependent patterns. Rich state transition epochs demonstrated that state transitions were global, irreversible and sequential phenomenon, which can be predicted using LSTM RNN models. Importantly, simultaneous hippocampal recording revealed enhanced sharp-wave ripple triggered global patterns during NREM than awake state, which may attribute to co-occurrence of spindle events. |
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Cardiac CEST MRI under the influence of very short saturation pulses – an analysis approach |
| Daniel Schache1, Ajay Peddi1, Ali Nahardani2, Cornelius Faber1, and Verena Hoerr1,2 | ||
1Translational Research Imaging Center, Clinic of Radiology, University of Münster, Münster, Germany, 2Heart Center Bonn, Department of Internal Medicine II, University Hospital Bonn, Bonn, Germany |
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Keywords: Data Analysis, CEST & MT Cardiac CEST MRI in mice rely on the application of very short saturation pulses. These pulses cause disturbing signal modulation in the CEST spectrum preventing a consistent data analysis. To correct for this, an additional approach named DOSE was established in the data analysis pipeline. The DOSE-corrected analysis was validated in vitro on a glucose concentration series as well as in vivo on cardiac glucoCEST experiments of nine healthy mice. Hereby, oscillations in the CEST spectra could be reduced substantially ensuring a consistent quantification. |
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Phase-Based Registration for Visualisation of Pulsatile Brain Motion |
| Robin Laven1, Sam Richardson1, Nadine Hidalgo2, Dale Justin Sasis2, Eryn Kwon3,4, Samantha Holdsworth3,4, and Poul Nielsen1,2 | ||
1Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 2Department of Engineering Science, University of Auckland, Auckland, New Zealand, 3Department of Anatomy and Medical Imaging & Center for Brain Research, University of Auckland, Auckland, New Zealand, 4Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand |
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Keywords: Data Processing, Brain, Chiari 1 Malformation Pulsatile brain motion is a valuable tool in understanding injury and congenital disorders. These pulsatile motions have a typical magnitude of < 1 pixel. Amplified MRI (aMRI) amplifies the pulsatile motion to the point of visibility, enabling qualitative examination. However, the amplification in frequency space results in nonlinear distortion of motion preventing the recovery of unaugmented displacements. Here, we propose using phase-based subpixel registration. This methodology enables the recovery of displacement quantification of pulsatile brain motion. |
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Removal of Water and Lipid Signals from J-resolved 1H-MRSI Data Using an FID Reference and Physics-Based Subspaces |
| Wen Jin1,2, Yibo Zhao1,2, Yudu Li1,3, Rong Guo1,4, Ruihao Liu1,5, Jie Luo5, Yao Li5, and Zhi-Pei Liang1,2 | ||
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 5School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Data Processing, Spectroscopy J-resolved 1H-MRSI provides a unique capability to quantify both brain neurotransmitters and metabolites. This paper presents a novel method to effectively remove water and lipid signals from J-resolved 1H-MRSI data with limited spatial encodings and without lipid suppression. The proposed method has been validated using data from a healthy subject and a brain tumor patient, producing impressive results. |
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Separation of Macromolecules and Metabolites in Ultrashort-TE MRSI Data with Learned Probabilistic Subspaces |
| Yibo Zhao1,2, Yudu Li1,3, Wen Jin1,2, Rong Guo1,4, Wenli Li5, Yao Li5, Jie Luo5, and Zhi-Pei Liang1,2 | ||
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 5School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Data Analysis, Spectroscopy, Macromolecule Separation of macromolecules and metabolites in ultrashort-TE MRSI data has been very difficult due to limited SNR and strong spectral overlap. In this work, we proposed a new solution to the problem using a subspace-based approach aided with long-TE navigator signals. Physics-based prior information was incorporated through pre-learned spectral bases and probability distributions of spatial coefficients. The proposed method has been validated using experimental data from healthy and brain tumor subjects, producing impressive results. |
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Evaluation of Deep Learning Models for Processing Lactate-Edited MR Spectroscopic Imaging in Patients with Glioma |
| Sana Vaziri1, Adam W Autry1, Marisa Lafontaine1, Janine Lupo1, Susan Chang2, and Yan Li1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Data Processing, Spectroscopy The use of deep learning models for frequency and phase correction of spectral data was evaluated to reduce processing time of 3D MRSI datasets acquired from patients with glioma. Models for frequency and phase offset estimation were trained for data prior to coil-combination. Separate models for baseline removal of coil-combined data were similarly trained and evaluated. The voxel-wise peaks for spectra processed using the standard approach were evaluated and compared to the spectra processed using the proposed deep learning approach. Compared to standard processing, deep learning processing produced spectra with comparable SNR and linewidths in a shorter processing time. |
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The value of Cinematic Volume Rendering Technique: magnetic resonance imaging in diagnosing tumors around the brachial plexus |
| Rui Chen1, Yuncai Ran1, Junxia Niu1, Yanglei Wu2, Yong Zhang1, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaborations, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Visualization, Nerves, Cinematic Volume Rendering Technique (cVRT);Brachial plexus nerve Cinematic Volume Rendering Technique (cVRT) can clearly display the contours of the tumor, brachial plexus, and peripheral blood vessels, and the extent of their involvement while simultaneously imaging them. The three-dimensional anatomical effect is more realistic, playing a direct role in guiding the surgical plan. |
| 0477 | Pitch: 8:15 Poster: 8:15 Screen 28
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Targeted Gastric Electrical Stimulation Modulates Functional Connectivity of the Interoceptive Network in the Rat Brain |
| Fatimah M. Alkaabi1,2, Jiayue Cao1, Angela Yee1, Xiaokai Wang1, Ulrich Scheven1, Chih Hsuan Tsai1, Ana C. Saavedra1, and Zhongming Liu1,3 | ||
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia, 3Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States |
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Keywords: Data Analysis, Animals Gastric Electrical Stimulation (GES) is an FDA approved therapy for gastroparesis with unspecified working mechanisms. One plausible mechanism is that it activates the vagal afferents to engage the brain’s interoceptive network in regulating the stomach. Orientation and location-specific stimulation that targets the vagal-gastric receptors can effectively activate the brainstem. We asked whether and how this type of GES can engage interoceptive regions and modulate their interactions, especially the anterior cingulate (ACC) and insular cortices (IC), the primary visceromotor and viscerosensory processing regions, respectively. Therefore, we evaluated the functional connectivity in the rat brain before, during, and after targeted GES. |
| 0478 | Pitch: 8:15 Poster: 8:15 Screen 29
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Reproducibility of conventional and GABA-edited multi slice MRSI in the human brain at 3T |
| Dillip K. Senapati1,2, Helge J. Zöllner1,2, Ipek Özdemir 1,2, Georg Oeltzschner1,2, Doris D.M. Lin1,2, and Peter B. Barker1,2 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Keywords: Data Analysis, Spectroscopy, GABA, MR Spectroscopy, MRSI, Reproducibility, Brain Reproducibility of both conventional and GABA-edited multi-slice MRSI of the human brain recorded at 3T was investigated in 11 healthy adult volunteers. GABA-edited data were post-processed using a retrospective motion compensation (MoCo) scheme. Test-retest coefficients of variation(CV) were calculated. Overall reproducibility was good for conventional MRSI for selected brain regions, but edited-MRSI data showed significant variations. Edited-MRSI scans may benefit from both improved post-doc correction schemes to minimize subtraction artifacts, as well as better B0 field homogeneity over the brain, and possibly also prospective MoCo schemes. |
| 0479 | Pitch: 8:15 Poster: 8:15 Screen 30
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Multivariate Classification of fMRI Time Series with Fused Window Transformers |
| Hasan Atakan Bedel1,2, Irmak Şıvgın1,2, Onat Dalmaz1,2, Salman Ul Hassan Dar1,2, and Tolga Çukur1,2,3 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Neuroscience Program, Bilkent University, Ankara, Turkey |
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Keywords: Data Analysis, fMRI (resting state) Functional MRI (fMRI) experiments serve a key role in advancing our understanding of human brain function during normal and disease states. Analysis of high-dimensional fMRI data can significantly benefit from recent deep learning approaches, yet existing methods are insufficiently sensitive to the contextual representations in fMRI data across diverse time scales. Here, we present a novel transformer model for fMRI analysis that effectively captures local and global dependencies in fMRI data. Comprehensive demonstrations are provided that show the superior performance of BolT in gender and disease detection against state-of-the-art learning-based methods. |
| 0480 | Pitch: 8:15 Poster: 8:15 Screen 31
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Improved NORDIC denoising for submillimetre BOLD fMRI using patch formation via non-local pixels similarity - pixel-matching (PM) NORDIC |
| Alessandro Nigi1 and Jeroen C.W. Siero1 | ||
1Radiology, UMCU, Utrecht, Netherlands |
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Keywords: Data Processing, Data Processing, denoising, NORDIC, BOLD fMRI, thermal noise Submillimetre BOLD fMRI enables studying brain function at the mesoscopic level but is limited by low SNR. The NORDIC PCA algorithm reduces thermal noise levels in fMRI in a patch-wise manner via singular value thresholding (SVT). However, the NORDIC patch formation uses adjacent pixels that often contain signals from multiple tissues, which can degrade the denoising performance. We propose an alternative patch formation using the similarity between non-local pixels, dubbed pixel-matching (PM) NORDIC. PM-NORDIC outperforms standard NORDIC in terms of temporal SNR and spatial smoothness estimates. |
| 0481 | Pitch: 8:15 Poster: 8:15 Screen 32
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fMRI with whole-brain coverage, 75ms temporal resolution and high SNR by combining HiHi reshuffling and Multiband imaging |
| Tim Schmidt1,2, Johanna Vannesjo3, Stefan Sommer4,5,6, and Zoltan Nagy1 | ||
1Laboratory for Social and Neural Systems Research (SNS Lab), University of Zürich, Zürich, Switzerland, 2Institute for Biomedical Engineering, ETH Zürich and University of Zürich, Zürich, Switzerland, 3Norwegian University of Science and Technology, Trondheim, Norway, 4Siemens Healthineers International AG, Zürich, Switzerland, 5Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zürich, Switzerland, 6Advanced Clinical Imaging Technology (ACIT), Siemens Healthineers International AG, Lausanne, Switzerland |
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Keywords: Data Processing, fMRI By combining an fMRI data shuffling method and multiband accelerated acquisition, we were able to measure the hemodynamic response in the primary motor and visual cortices with 75ms temporal resolution while maintaining high SNR. With the addition of multiband imaging, we were able to achieve whole-brain coverage in a feasible scan time, and use appropriate event-related stimulus paradigm to map the BOLD response in the primary motor and visual cortices in a combined experiment. |
| 0482 | Pitch: 8:15 Poster: 8:15 Screen 33
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Multiscale Entropy Analysis of Resting State fMRI in Pre-Adolescents with ADHD |
| Ru Zhang1, Kay Jann1, Danny J.J. Wang1, Christina J. Duval2, and Stuart B. Murray2 | ||
1Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 2Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, United States |
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Keywords: Data Analysis, fMRI (resting state) The current study used resting state functional magnetic resonance imaging to measure the complexity of pre-adolescents with ADHD but no other comorbidities. We ran a factorial 2 (Group: ADHD, Control) by 2 (Sex: Male, Female) analyses of covariance on the multiscale entropy (MSE) maps with the pubertal development status as a covariate. It revealed MSE values were significantly lower in the ADHD group than the control group in various regions, including bilateral superior frontal gyrus, bilateral precuneus, right inferior/middle frontal gyrus/postcentral gyrus/insular, and left precentral gyrus/middle cingulate gyrus (t = -3.131 to -2.445, p < 0.015). |
| 0483 | Pitch: 8:15 Poster: 8:15 Screen 34
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Optimized fMRI preprocessing pipeline enables robust functional connectivity analysis of mouse brain at laminar level |
| Wei Zhu1, Guangle Zhang1, Xiao-Hong Zhu1, and Wei Chen1 | ||
1University of Minnesota, Minneapolis, MN, United States |
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Keywords: Data Processing, fMRI High-resolution BOLD fMRI has become an essential tool for studying neural circuit and hemodynamic changes at mesoscopic scale. Nevertheless, it is more prone to the poor sensitivity and non-neural signal contamination as the spatial resolution increases. Group-level analysis also imposes new requirements on the subject alignment accuracy. To deal with these challenges, we developed a fMRI preprocessing pipeline featured in random matrix theory-based PCA denoising, one-time image voxel shift correction, and enhanced subject-level alignment. We applied this pipeline to the high-resolution mouse resting state fMRI and achieved high-quality hierarchical connectomes from large brain regions to thin cortical layers. |
| 0484 | Pitch: 8:15 Poster: 8:15 Screen 35
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Pseudo resting-state by task-evoked functional connectivity. |
| Alice Giubergia1, Sara Mascheretti2, Valentina Lampis3, Tommaso Ciceri1, Martina Villa4,5,6, Chiara Andreola7, Filippo Arrigoni8, and Denis Peruzzo1 | ||
1Neuroimaging Unit, IRCCS Eugenio Medea, Bosisio Parini (LC), Italy, 2Department of Brain and Behavioral Sciences, University of Pavia, Pavia (PV), Italy, 3Child Psychopathology Unit, IRCCS Eugenio Medea, Bosisio Parini (LC), Italy, 4Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States, 5Institute for the Brain and Cognitive Sciences (IBACS), University of Connecticut, Storrs, CT, United States, 6Haskins Laboratories, New Haven, CT, United States, 7Laboratoire de Psychologie de Développement et de l’Éducation de l’Enfant (LaPsyDÉ), Université Paris Cité, Paris, France, 8Paediatric Radiology and Neuroradiology Department, V. Buzzi Children’s Hospital, Milano (MI), Italy |
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Keywords: Data Processing, Brain Connectivity Functional connectomics investigates how brain regions are functionally associated. Studies in literature seek to infer a “pseudo-resting” state from task data, however it should be tested whether resting-state-like connectivity can be inferred by task-fMRI data. This work investigates several preprocessings of task-evoked connectivity performing classification experiments, to test their ability to reproduce a real “resting-state” connectivity and their impact on a clinical context, namely the comparison of Typical Readers and Developmental Dyslexics. Our results suggest that a task-free “pseudo-resting” connectivity cannot be inferred from task-fMRI data and that signal preprocessing does not influence the way the classification rules are inferred. |
| 0485 | Pitch: 8:15 Poster: 8:15 Screen 36
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Age-related differences in dynamic cerebrovascular reactivity based on CO2-response modelling |
| Colette Clare Milbourn1, Seyedmohammad J Shams2, and Jean J Chen2,3,4,5 | ||
1School of Life Sciences, University of Nottingham, Nottingham, United Kingdom, 2Research, Rotman Research Institute, Toronto, ON, Canada, 3Research, Baycrest Health Sciences Centre, Toronto, ON, Canada, 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 5Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: Data Analysis, Neuroscience, blood vessels, cerebrovascular reactivity, deconvolution Secondary category: contrast mechanism Cerebrovascular Reactivity (CVR) was measured in healthy, young and older adults. Specifically, dynamic CVR (dCVR) was measured as the carbon dioxide (CO2)-response function. This was estimated by deconvolving a sinusoidal hypercapnic time course from simultaneously acquired blood oxygen level dependent (BOLD) fMRI data using a canonical-correlation (CCA) based approach. The results demonstrate differences in dCVR amplitude and rise time between age groups. This proof-of-concept study establishes the feasibility of dCVR modelling for the study of aging. |
| 0486 | Pitch: 8:15 Poster: 8:15 Screen 37
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Detecting the role of hippocampal subfields in pattern separation and completion task using 7T object memory task fMRI |
| Zhengshi Yang1, Xiaowei Zhuang2, Mark Lowe3, and Cordes Dietmar1 | ||
1Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, United States, 2Cleveland Clinic, Las Vegas, NV, United States, 3Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Data Analysis, fMRI, Task fMRI; reigstration In this study, we have established a reliable hippocampal subfield segmentation and activation analysis pipeline to probe the role of hippocampal subfields in pattern separation task by using 7T fMRI data, which could be able to identify the role of subfield dysfunction in cognitive impairment in prodromal AD. |
| 0487 | Pitch: 8:15 Poster: 8:15 Screen 38
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Biophysical deformation in brain-around-tumor on MRI can distinguish radionecrosis vs recurrent tumor in brain metastases: A feasibility study |
| Hyemin Um1, Virginia Hill2, Marwa Ismail3, Sushant Puri4, Ameya Nayate5, Prateek Prasanna6, Lisa Rogers5, Jennifer Yu7, and Pallavi Tiwari3 | ||
1Case Western Reserve University, Cleveland, OH, United States, 2Northwestern Medicine, Chicago, IL, United States, 3University of Wisconsin-Madison, Madison, WI, United States, 4Johns Hopkins Medicine, Baltimore, MD, United States, 5University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 6Stony Brook University, Stony Brook, NY, United States, 7Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence A significant challenge in the management of metastatic brain tumors following radiation therapy is distinguishing radiation necrosis from tumor recurrence. Differential diagnosis is difficult on routine MRI and patients are subject to invasive procedures to confirm the absence of disease. We explored the feasibility of deformation features from the normal parenchyma to identify disease recurrence versus radiation effects. Our results suggest that measurements of the subtle tissue deformations in the normal-appearing brain regions may elucidate differences in the tissue microarchitecture of radionecrosis and tumor recurrence and may serve as surrogate markers to non-invasively characterize treatment response in brain metastases. |
| 0488 | Pitch: 8:15 Poster: 8:15 Screen 39
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Functional Activation Pattern to varied working memory loads in Mild Traumatic Brain Injury Patients |
| Li Jiang1, Jiachen Zhuo1, Steven Roys1, Chandler Sours Rhodes2, Prashant Raghavan Raghavan1, and Rao Gullapalli1 | ||
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD, United States, 22National Intrepid Center of Excellence, Walter Read National Military Medical Center, Rockville, MD, United States |
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Keywords: Data Analysis, Traumatic brain injury Mild traumatic brain injury (mTBI) account for 85% of all TBIs. Working memory impairment is one of the most common symptoms in mTBI patients and may persist years post-mTBI. In this study, we used N-back fMRI to investigate the varying N-back task loads on the functional activation pattern in patients with mild TBI and age-matched healthy controls (HCs) as well as the longitudinal changes within mTBI group. Our results suggested that appropriate task load would be more sensitive in detecting the subtle brain functional changes, even though differences in behavioral performance between mTBI and HCs were absent. |
| 10:30 | Brain Tumor Imaging & AI: A Clinical Imaging Biomarker Roadmap |
| Ji Eun Park1 | |
1Asan Medical Center, Seoul, Korea, Republic of |
| 11:00 | Tissue Electrical Properties: Principles & Their Relation to Magnetization |
| Rosalind Sadleir1 | |
1Arizona State University, United States |
| 11:30 | Detection & Imaging of Tissue Electrical Properties |
| Leeor Alon1 | |
1New York University School of Medicine, United States |
| 12:00 | Imaging & Sensing of Dielectric Properties of the Brain: Novel Functional Diagnostics |
| Serguei Semenov1 | |
1Multiple, Vienna, Austria |
13:30
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What is patient engagement and patient oriented research? | |
| Sharon Straus1 | ||
1University of Toronto, Toronto, Canada |
13:50
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Patient engagement: clinician perspective | |
| Jiwon Oh1 | ||
1St Michael's Hospital/University of Toronto, Canada |
14:10
|
Patient engagement: PhD scientist perspective | |
| Shannon Kolind1 | ||
1University of British Columbia, Canada |
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Keywords: Transferable skills: Patient engagement, Neuro: Neurodegeneration Coming from a physics/engineering background, it can be easy to get absorbed in the technical aspects of MRI research to the point of losing sight of the end goal of improving health and wellness for people living with disease or injury. This talk will attempt to highlight ways to engage with stakeholders in research design and execution. It will aim to stimulate discussion around how to improve communication, and to form and fully utilise diverse networks to optimise research for patient care. |
14:30
|
Introduction to Patient Partners and Panel Discussion | |
| Mary-Louise Greer1 | ||
1The Hospital for Sick Children, Canada |
14:50
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Panel Discussion |
13:30
|
Ovarian Cancer: Is Quantitative MRI Needed? | |
| Laure Fournier1 | ||
1Université Paris Cité, AP-HP, Paris, France |
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Keywords: Body: Pelvis For ovarian cancer diagnosis, the O-RADS MRI score allows characterising the lesion as benign, borderline or malignant with very high predictive values. Though O-RADS itself does not integrate quantitation, quantitative imaging played a major role in establishing evidence, and more specifically developing the visual enhancement curves. At the (mostly peritoneal) metastatic stage, diffusion-weighted sequences have been used for detection and quantification of the Peritoneal Cancer Index, a predictor of resectability and survival. Finally, conventional imaging does not currently predict or monitor treatment response or recurrence, and more advanced quantitative techniques such as radiomics may supply some of the answers. |
14:00
|
Endometrial Cancer: Can MRI Offer More Than a Staging Tool? | |
| Caroline Reinhold1 | ||
1McGill University, Montreal, Canada |
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Keywords: Body: Urogenital, Body: Pelvis, Cross-organ: Cancer Magnetic resonance imaging (MRI) is considered the modality of choice for the local staging of endometrial carcinoma. The findings at MRI in combination with histopathologic findings from endometrial sampling are used for pre-operative treatment planning. However, accurate risk assessment requires information typically obtained at the time of hysterectomy including the presence of lymphovascular space invasion (LVSI), tumour grade and if available the tumour molecular classification. Quantitative analysis and radiomics of pre-operative MRI scans has the potential to noninvasively improve risk stratification and optimize management paradigms in patients with endometrial carcinoma. |
14:30
|
Placental Oxygenation: Implications of Quantification | |
| Patricia Ellen Grant1 | ||
1Boston Children's Hospital, Harvard Medical School, Boston, MA, United States |
15:00
|
Fetal MRI: Is There a Role for Quantitation? | |
| Catherine Limperopoulos1 | ||
1Children's National Hospital, Washington, DC, United States |
13:30
|
Proposed Pathways & Physiology of Glymphatic Brain Clearance | |
| Susan van Veluw | ||
| Massachusetts General Hospital | ||
13:55
|
MRI Acquisitions in Glymphatics in Humans | |
| Lydiane Hirschler | ||
| Leiden University Medical Center | ||
14:20
|
Linking Glymphatics to Brain Activity | |
| Jeff Duyn | ||
| National Institutes of Health | ||
14:45
|
Imaging Cerebrospinal Fluid Flow Across Sleep & Wakefulness | |
| Laura Lewis | ||
| Boston University | ||
| 0489
|
13:30
|
Combined fMRS and fMRI During Reinforcement Learning in a Large Cohort at 7T: When Does Cognitive Processing Occur? |
| Tal Finkelman1, Edna Furman-Haran2, Kristoffer Carl Mikael Aberg3, Rony Paz3, and Assaf Tal1 | ||
1Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2life sciences core facilities, Weizmann Institute of Science, Rehovot, Israel, 3Brain Sciences, Weizmann Institute of Science, Rehovot, Israel |
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Keywords: Spectroscopy, fMRI (task based), functional MRS We present multimodal functional MRS-fMRI-Behavioral data, which demonstrates how the E/I balance changes in the dACC during a reinforcement learning paradigm. The E/I balance decreases during rest periods between tasks, supporting a consolidation phase that is invisible to BOLD-fMRI. Additionally, we find a significant negative correlation between both GABA and glutamate, and the mean z-score of the BOLD signal from the spectroscopic voxel, during the decision-making game. We suggests that the elevation in Glu is related to cellular activity rather than neuronal activity, indicating a GABAergic activation during the task. |
| 0490
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13:38
|
Simultaneous concentration and T2 mapping of brain metabolites by multi-echo spectroscopic imaging |
| Rudy Rizzo1,2, Angeliki Stamatelatou3, Arend Heerschap3, Tom Scheenen3, and Roland Kreis1,2 | ||
1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 3Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands |
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Keywords: Spectroscopy, Data Acquisition, T2-mapping A multi-parametric MR Spectroscopic Imaging (MRSI) experiment (Multi-Echo Single-Shot MRSI, MESS-MRSI) deploys partially sampled multi-echo trains from single readouts combined with simultaneous multi-parametric model fitting to produce metabolite-specific T2 and concentration maps in 7min. It was tested in-vivo on a cohort of 5 subjects. Cramer-Rao Lower-Bounds (CRLBs) are used as measure of performance. The novel scheme was compared with the (i) traditional Multi-Echo Multi-Shot (MEMS) method and (ii) a truncated version of MEMS, which mimics the MESS acquisition (MESS-mocked). Results extended former findings for single voxel measurements with improvements in CRLB ranging from 17-45% for concentrations and 10-23% for T2s. |
| 0491 | 13:46
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sLASER Performed Similarly to PRESS at Revealing Metabolite-Age Correlations |
| Steve C.N. Hui1,2, Tao Gong3,4, Helge J. Zöllner1,2, Kathleen Hupfeld1,2, Aaron Gudmundson1,2, Yulu Song1,2, Saipavitra Murali-Manohar1,2, Christopher Davies-Jenkins1,2, Georg Oeltzschner1,2, Guangbin Wang3,4, and Richard A. E. Edden1,2 | ||
1Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 4Department of Radiology, Shandong University, Jinan, China |
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Keywords: Spectroscopy, Data Analysis, magnetic resonance spectroscopy, sLASER, PRESS, localization, aging Recent MRS community consensus recommended sLASER over PRESS for reduced chemical-shift displacement. There is very little evidence supporting this consensus in terms of ability to reveal in vivo biochemistry. sLASER- and PRESS-localized spectra were collected in gray- and white-matter regions in 102 adult subjects (aged 20-69). sLASER showed slightly higher SNR than PRESS (by 4% on average), but improved SNR and localization did not convert into reduced variance or improved detection of metabolite-age correlations. Between-subject CVs of 13 modeled metabolites were remarkably consistent, and the pattern of metabolite-age correlations was also similar. |
| 0492 | 13:54
|
Prospective motion-corrected spectroscopy in the human cervical spinal cord |
| Isaac M Adanyeguh1, Pierre-Gilles Henry1, and Dinesh K Deelchand1 | ||
1Center for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Spectroscopy, Spinal Cord Proton magnetic resonance spectroscopy in the spinal cord is particularly challenging and motion remains one of biggest obstacles. Although several prospective motion correction techniques currently exist in the human brain, none have yet been reported in the spinal cord. Here we report prospective motion correction in the spinal cord using reduced-field-of-view 2DRF excitation. Results show than spectral quality were similar with and without motion. This study demonstrates the feasibility of prospective motion correction for spinal cord MRS. |
| 0493 | 14:02
|
Use of fast B1 shimming to enable localized MR spectroscopy in different regions of the human brain on a clinical platform at 7 Tesla |
| Özlem Ipek1,2, Jeremie Clement1,3, Marzena Arridge4, Philippa Bridgen2, Tom Wilkinson2, Laura Mancini4, Raphael Tomi-Tricot2,5, Enrico de Vita2,6, and Ralf Mekle7 | ||
1Biomedical Engineering, King's College London, London, United Kingdom, 2London Collaborative Ultra high field System (LoCUS), King's College London, London, United Kingdom, 3System Technologies, Siemens Healthcare GmbH, Erlangen, Germany, 4Lysholm Department of Neuroradilogy, National Hospital for Neuroradiology and Neurosurgery, London, United Kingdom, 5MR Research Collaborations, Siemens Healthiness, Frimley, United Kingdom, 6Radiology, Great Ormond Street Hospital, London, United Kingdom, 7Center for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany |
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Keywords: Spectroscopy, High-Field MRI, Paralel Transmit and B1 shimming We demonstrated that applying a fast implementation of an RF phase shimming method enabled the acquisition of localized MR spectra in different regions of the human brain including B1 challenging areas, such as the hippocampus and prefrontal cortex, using a commercially available pTx coil on a clinical platform at 7T. RF efficiency was increased by ~100% cerebellum and PFC while ~50-75% for pons and hippocampus. The most favorable flip angle distributions were obtained for the cerebellum and the prefrontal cortex. Fast B1 shimming with advanced MRS methodology enables high-quality single voxel spectra at 7T using a commercially available setup. |
| 0494 | 14:10
|
Frequency and Phase Correction of GABA-edited MR Spectroscopy using Complex-valued Convolutional Neural Network |
| Hanna Bugler1,2,3,4, Rodrigo Berto1,2,3,4, Roberto Souza1,3,5, and Ashley D. Harris2,3,4 | ||
1Biomedical Engineering Department, University of Calgary, Calgary, AB, Canada, 2Department of Radiology, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 5Electrical and Software Engineering Department, University of Calgary, Calgary, AB, Canada |
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Keywords: Spectroscopy, Machine Learning/Artificial Intelligence, Brain Edited Magnetic Resonance Spectroscopy (Edited-MRS) is important for the quantification of ɣ-amino butyric acid (GABA) in vivo. However, during acquisition, data may suffer phase and frequency shifts, which affects the quality of the output spectrum. Frequency and phase correction (FPC) is necessary to account for these shifts, and deep learning models have obtained recent success in this task. Still, current methods do not take into consideration that MRS data is complex-valued. We propose a complex-valued convolutional neural network model for FPC. Our results showed that our model compares favorably against two recently proposed deep learning methods. |
| 0495
|
14:18
|
Single-shot SLOW-editing for Downfield α-Glucose MRSI at 7T Utilizing SNR-Enhancing Glucose Mutarotation Effect |
| Guodong Weng1,2, Piotr Radojewski1,2, and Johannes Slotboom1,2 | ||
1Support Center for Advanced Neuroimaging (SCAN), University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland |
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Keywords: Pulse Sequence Design, Spectroscopy, Spectral Editing Changes in brain glucose occur in many neurological disorders as well as during aging. Most studies on the uptake of glucose in the brain use positron emission tomography, which requires injection of a radioactive tracer. Our study shows that ultra-high-field 1H-MRS single-shot SLOW-editing can be used to measure α-D-glucose at 5.22 ppm in vivo, and thus that α-D-glucose might have the potential to be used as a an economic radiation free tracer in the human brain. |
| 0496 | 14:26
|
Direct estimation of metabolite maps from undersampled k-space data using linear tangent space alignment |
| Chao Ma1,2, Thibault Marin1,2, Paul K. Han1,2, and Georges El Fakhri1,2 | ||
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Spectroscopy, Image Reconstruction, MRSI quantification Conventional MRSI methods perform MRSI image reconstruction and spectral quantification in two separate steps. This work presents a novel direct estimation method for MRSI that reconstructs high-resolution metabolite concentration maps from undersampled k-space data, leveraging a linear tangent space alignment (LTSA) model for spectral quantification and a low-rank (LR) model for denoising. Furthermore, the proposed framework allows estimating the temporal basis functions of the LR model from the undersampled, noise-corrupted k-space data, thus eliminating the need for experiment-dependent or pre-acquired spectral training data. The performance of the proposed method was validated using numerical simulation phantom and in vivo MRSI data. |
| 0497 | 14:34
|
Reconstruction of High-Resolution Metabolite Maps from Noisy MRSI Data by Incorporating Spatiospectral Constraints through Learned Kernels |
| Yudu Li1,2, Chao Ma3,4, Shirui Luo2, Wen Jin1,5, Ruihao Liu1, Georges El Fakhri3,4, Yao Li6, Maria Jaromin2, Volodymyr Kindratenko2,5, Brad Sutton1,2,7,8, and Zhi-Pei Liang1,2,5 | ||
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Radiology, Harvard Medical School, Boston, MA, United States, 4Radiology, Massachusetts General Hospital, Boston, MA, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 7Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 8Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Spectroscopy, Image Reconstruction High-resolution MR spectroscopic imaging (MRSI) suffers from very low signal-to-noise ratio, which is often addressed using a priori information/constraints. Existing constrained reconstruction methods utilize spectral constraints in the form of spectral subspaces/manifolds, while impose spatial constraints though spatial regularization. This paper presents a novel kernel-based partial separability model for reconstruction of high-resolution of metabolite maps from noisy MRSI data. The proposed model uses spectral basis functions to absorb spectral prior and a learned kernel function to absorb spatial prior. Experimental results demonstrated very encouraging reconstruction performance. |
| 0498 | 14:42
|
Single-shot GABA Editing at 7 Tesla |
| Li An1, Maria Ferraris Araneta1, Inna Loutaev1, Tara Turon1, Christopher S Johnson1, Sungtak Hong1, and Jun Shen1 | ||
1National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States |
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Keywords: Data Acquisition, Spectroscopy, MRS, GABA, 7 Tesla Two-step editing techniques have been widely used to detect the GABA H4 signal at 3.01 ppm with the dominant creatine methyl proton signal cancelled by subtraction. However, subtraction is inherently sensitive to patient movements and system instability. In this work, a single-shot spectral editing technique is developed to detect the GABA H2 resonances at 2.28 ppm in the human brain at 7 Tesla. Although GABA H2 is partially overlapped by glutamate H4, we demonstrate that GABA-glutamate correlation originating from spectral overlap can be reduced to practically zero, therefore suppressing the overlapping effect of glutamate H4 on GABA H2 without subtraction. |
| 0499 | 14:50
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Intra-Subject Stability and Reproducibility of 7 T FID-CRT-MRSI |
| Philipp Lazen1, Benjamin Spurny-Dworak2, Wolfgang Bogner3,4, Lukas Hingerl3, Bernhard Strasser3, Rupert Lanzenberger2, Karl Rössler1, Siegfried Trattnig3,4,5, and Gilbert Hangel1,3 | ||
1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 2Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria, 3High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria, 5Institute for Clinical Molecular MRI, Karl Landsteiner Society, St. Pölten, Austria |
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Keywords: Spectroscopy, Brain We evaluated the intra-subject stability of CRT-FID-MRSI at 7 T in a cohort of 15 volunteers. Two magnetic resonance spectroscopic imaging acquisitions were performed consecutively and metabolite concentration estimates (CEs) were calculated using internal water referencing. The resulting metabolic maps were segmented in 55 brain regions. For analysis, the CEs of both acquisitions were compared and coefficients of variations (CVs) were calculated. We saw high stability in almost all volunteers, with CVs being well below 5% in the brain regions generally associated with good data quality. |
| 0500 | 14:58
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Toward the Use of MRS Methodological Consensus by the Clinical Research Community - An Early Assessment of Dissemination Results |
| Jodi J. Weinstein1,2, Abigail Dalton1, Jack Kaufman1, In-Young Choi3,4, Roland Kreis5,6, and Christoph Juchem7,8 | ||
1Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States, 2New York State Psychiatric Institute and Department of Psychiatry, Columbia University Irving Medical Center, New York City, NY, United States, 3Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States, 4Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 5Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 6Translational Imaging Center, sitem-insel, Bern, Switzerland, 7Department of Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 8Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States |
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Keywords: Spectroscopy, Translational Studies The MRS community recently established a set of expert Consensus Recommendations. To date, however, knowledge on their implementation beyond anecdotal reports is largely lacking. Here we report a preliminary assessment of the achieved dissemination and, more importantly, the level of acceptance of the established guidelines and standards by the clinical MRS research community. We compiled feedback from 22 editors-in-chief of major clinical journals, together accounting for more than 100 (>12%) of the in vivo clinical MRS publications from 2021. |
| 0501 | 15:06
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Differential MRS results in a clinical multisite study depending on site harmonization and analysis approach |
| Parker L La1, Tiffany K Bell1, William Craig2, Quynh Doan3, Miriam H Beauchamp4, Roger Zemek5, Keith O Yeates6, and Ashley D Harris1 | ||
1Radiology, University of Calgary, Calgary, AB, Canada, 2University of Alberta and Stollery Children's Hospital, Edmonton, AB, Canada, 3University of British Columbia, Vancouver, BC, Canada, 4University of Montreal and St Justine Hospital, Montreal, QC, Canada, 5University of Ottawa and Children's Hospital of Eastern Ontario, Ottawa, ON, Canada, 6Psychology, University of Calgary, Calgary, AB, Canada |
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Keywords: Spectroscopy, Brain, Traumatic Brain Injury The use of multiple sites and scanners is commonly used to increase sample size; however, this introduces unwanted variance into spectroscopy data. In this work we compare statistical co-variate techniques in combination with ComBat harmonization using data from a concussion study. We show traditional statistical methods of accounting for multi-site variance (using covariates to control for site and vendor) could result in erroneous interpretation of clinical data. Our data supports the use of ComBat harmonization and suggests how to best control for multisite data statistically. |
| 0502 | 15:14
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Glutamate and its relation to cortical thickness and perfusion across the cingulate cortex |
| Jessica Archibald1, Erin L. MacMillan2,3, Niklaus Zölch4, and John L.K. Kramer5 | ||
1Experimental Medicine, University of British Columbia, Vancouver, BC, Canada, 2ImageTech, Simon Fraser University, Surey, BC, Canada, 3Philips, Markham, ON, Canada, 4Psychiatry and Forensic Medicine, Universität Zürich, Zürich, Switzerland, 5Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Spectroscopy, Neuro, neuroscience Investigating the relationships between morphological, functional, and metabolic changes in the brain can help reveal subtle changes caused by disease. To establish an understanding of the relationship between brain glutamate levels with cortical thickness (CT) and cerebral blood flow (CBF) in the healthy brain, magnetic resonance spectroscopy (MRS), arterial spin labeled MRI and anatomical MRI were obtained from 4 sub-divisions of the cingulate cortex. A linear mixed effects model revealed that glutamate was significantly correlated with CT (p=0.05, R2=0.30) but not with CSF (p=0.21, R2=0.17) within healthy participants. These results will help inform studies of disease or therapeutic interventions. |
| 0503 | 15:22
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Prospective frequency correction with metabolite cycling for improved spectral quality in the prefrontal cortex at 7T |
| Kimberly L Chan1, Ivan E Dimitrov1,2, Madhukar H Trivedi3, and Anke Henning1,4 | ||
1Advanced Imaging Research Center, The University of Texas Southwestern, Dallas, TX, United States, 2Philips Healthcare, Gainesville, FL, United States, 3Center for Depression Research and Clinical Care, Department of Psychiatry, The University of Texas Southwestern, Dallas, TX, United States, 4Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
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Keywords: Spectroscopy, Brain The prefrontal cortex plays a central role in controlling executive functions such as decision-making and emotional-monitoring and has thus been the subject of several 1H-MRS studies on psychiatric illnesses. This region, however, is sensitive to motion-induced increases in linewidths due to the voxel moving away from the originally shimmed location. Here, we combined metabolite cycling (MC) with continuous prospective frequency correction to better account for frequency instabilities when performing single-voxel brain MRS at 7T. We find that MC sLASER with continuous prospective frequency correction reduces frequency instability, water linewidths, and N-acetylaspartate linewidths relative to semi-LASER acquisitions without prospective frequency correction. |
| 0504 | 13:30
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Mapping human gastric motility using contrast-enhanced MRI with a natural test meal |
| Xiaokai Wang1, Jiayue Cao1, Kuan Han1, Minkyu Choi1, Ana Cecilia Saavedra Bazan1, Jon-Fredrik Nielsen1, Douglas C. Noll1, and Zhongming Liu1 | ||
1University of Michigan, Ann Arbor, MI, United States |
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Keywords: Digestive, Digestive MRI with oral contrast agents has been increasingly used to image the gastrointestinal tract in animals and humans. However, it has not been established for broad clinical applications. This study describes a set of natural ingredients abundant in manganese ions to enable rapid and contrast-enhanced MRI of the human gastrointestinal tract. A pipeline of advanced analyses reveals the structure of the stomach, dynamic transit of the food inside the stomach, and muscle activity of the stomach wall. Results offer quantitative biomarkers and mechanistic insights for gastric emptying, accommodation, and motility in humans, and merit future studies of gastrointestinal functional disorders. |
| 0505 | 13:38
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Real-time MRI using deep learning in gastroesophageal reflux disease: a feasibility study |
| Qing Liu1, Qi Liu2, Jing Li1, Eric Z Chen3, Zhongqi Zhang2, Xiao Chen3, Shanhui Sun3, Jian Xu2, and Haoran Sun4 | ||
1Radiology, Beichen Hospital, Tianjin, China, 2UIH America, Inc., Houston, TX, United States, 3United Imaging Intelligence, Cambridge, MA, United States, 4Radiology, Tianjin Medical University General Hospital, Tianjin, China |
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Keywords: Digestive, Digestive A real-time MRI technique is developed using deep-learning reconstruction. Its feasibility is evaluated in both healthy subjects and patients with gastroesophageal reflux diseases. |
| 0506 | 13:46
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Characterization of small bowel strictures in Crohn’s disease with multiparametric MRI |
| Emre Altinmakas1, Himanshu Sharma2, Octavia Bane1,3, Ghadi Abboud1, Alex Menys4, Yansheng Hao5, Jean-Frederic Colombel6, Noam Harpaz5, and Bachir Taouli1,3 | ||
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Icahn School of Medicine at Mount Sinai, NY, NY, United States, 3BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Motilent Ltd, London, United Kingdom, 5Department of Pathology, Icahn School of Medicine at Mount Sinai, NY, NY, United States, 6Department of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Digestive, Quantitative Imaging, Crohn's disease; stricture; mpMRI; Small bowel stricture (SBS) is the one of the most common complications of Crohn’s Disease (CD) and it usually requires surgical management. Imaging diagnosis and characterization of SBS is essential for proper patient management, however this may be challenging with conventional MRI techniques. In current study, we investigate the utility of advance MRI techniques namely multiparametric MRI (mpMRI) including diffusion, perfusion, and motility in the characterization and tissue composition in CD-related SBS. Our preliminary results suggest that mpMRI parameters are promising tools to characterize SBS and may be helpful in the stratification of patients for medical treatment vs surgery. |
| 0507 | 13:54
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Slice Level 3D Motion Tracking For Motion Corrected IVIM DW-MRI In Crohn’s Disease |
| SERGE DIDENKO VASYLECHKO1, LINA LU1, CEMRE ARIYUREK1, JEANNETTE PEREZ-ROSSELLO1, MICHAEL CALLAHAN1, ONUR AFACAN1, and SILA KURUGOL1 | ||
1RADIOLOGY, BOSTON CHILDREN'S HOSPITAL, HARVARD MEDICAL SCHOOL, BOSTON, MA, United States |
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Keywords: Digestive, Motion Correction Diffusion-weighted MRI is increasingly used for detection and characterization of Crohn’s disease. However, unavoidable respiratory motion and bowel motility reduces accuracy and precision of quantitative parameter fitting, which hinders clinical applicability DW-MRI. We use a 3D slice-to-volume registration approach that sequentially tracks rigid motion parameters for each slice and regularises the parameters with a Kalman filter in the order of acquisition of each slice. We assess the quality of images and estimated parameter maps and the precision of IVIM parameters in the areas of disease using the proposed motion correction technique, and compare them with results from the uncorrected data. |
| 0508 | 14:02
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Ultra-High b-Value DWI in Predicting Progression risk of Locally Advanced Rectal Cancer: A Comparative Study with Routine DWI |
| Guangwen Zhang1, Jinsong Zhang1, Ziliang Xu1, Xiaocheng Wei2, and Jialiang Ren3 | ||
1Department of Radiology, Xijing Hospital, Xi’an, China, 2Department of MR Research, GE Healthcare China,, Beijing, China, 3Department of Pharmaceuticals Diagnostics, GE Healthcare China, Beijing, China |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques The prognosis prediction of locally advanced rectal cancer (LARC) was important to individualized treatment, we investigated the performance of ultra-high b-value DWI (UHBV-DWI) in progression risk prediction of LARC and compare with routine DWI. It was found that ADCuh derived from UHBV-DWI performed better than ADC based on routine DWI in predicting prognosis of LARC. The model based on combination of ADCuh, TNM-stage and extramural venous invasion (EMVI) could help to indicate progression risk before treatment. |
| 0509 | 14:10
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Synthetic phase-sensitive inversion-recovery imaging for assessing extramural venous invasion in patients with rectal cancer |
| Ge yuxi1, Dai Jiankun2, Hu Shudong1, and Jia Yanlong3 | ||
1Affiliated Hospital of Jiangnan University, Wuxi, China, 2GE Healthcare, Shanghai, China, 3Department of Radiology，Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China |
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Keywords: Pelvis, Quantitative Imaging, synthetic MR, rectal cancer, vessels This study aimed to investigate the feasibility of synthetic phase-sensitive inversion recovery (SyPSIR) vessel for extramural venous invasion (EMVI) detection in patients with rectal cancer. One hundred and six histologically confirmed rectal cancer patients (35 EMVI+ and 71 EMVI−) were evaluated. Compared with using T2WI alone, the area under the receiver operating characteristic curve using the combination of T2WI and SyPSIR was increased from 0.86 to 0.96 and from 0.65 to 0.88 for the senior and junior radiologist, respectively. Therefore, SyPSIR can provide additional information to improve EMVI diagnostic efficiency of in rectal cancer. |
| 0510 | 14:18
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Preoperatively Grading Rectal Cancer with the Continue Time Random Walk DWI model. |
| Zhijun Geng1, Shaolei Li2, Yunfei Zhang2, Yongming Dai2, and Chuanmiao Xie1 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Pelvis, Diffusion/other diffusion imaging techniques This study evaluates a new pre-operatively method to grade rectal cancer based on Continue Time Random Walk (CTRW) model. The method is to calculate three parameters of the CTRW model by fitting the model with DWI signal and a series of b-values and to differentiate low- and high-grade tumors by fitting a logistic regression with different combinations of parameters. An additional k-mean clustering analysis is performed to evaluate how differentiable the low and high-grade groups are in the CTRW parameters’ phase space. Our study shows that CTRW model has the potential to accurately grade rectal cancer. |
| 0511 | 14:26
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High-resolution single-breath-hold 3D MRCP using accelerated 3D Gradient and Spin-Echo (GraSE) with Compressed SENSE |
| Takumi Ogawa1, Michinobu Nagao2, Yasuhiro Goto1, Masami Yoneyama3, Johannes M Peeters4, Isao Shiina1, Yutaka Hamatani1, Kazuo Kodaira1, Mana Kato1, and Shuji Sakai2 | ||
1Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, 2Department of Diagnostic image & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare, Best, Netherlands |
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Keywords: Digestive, Biliary Breath-hold MRCP has gained more attention in routine clinical MRI, but its limited scan time during the breath-hold period often results in poor signal-to-noise ratio (SNR) and spatial-resolution. Despite being a single breath-hold method, 3D gradient and spin-echo (GraSE) sequence has been reported to provide high image quality. In this study, accelerated GraSE sequence combined with Compressed SENSE has been developed to obtain high-resolution MRCP images with a single breath-hold. |
| 0512 | 14:34
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Accelerated 3D MR cholangiopancreatography using a deep learning-based reconstruction in patients with cholelithiasis |
| Yu Zhang1, Chunchao Xia1, Zhenlin Li1, and Xiaoyong Zhang2 | ||
1West China Hospital of Sichuan University, Chengdu, China, 2Clinical Science, Philips Healthcare, Chengdu, China |
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Keywords: Liver, Biliary In this work, we aimed to compare image quality and lesion detectability in patients suspected with gallstones among single breath-hold three-dimensional magnetic resonance cholangiopancreatography (MRCP) with gradient and spin-echo (GRASE) technique, with compressed sensing (CS) and with deep learning (DL) technique. DL MRCP showed the best image quality and better lesion conspicuity and lesion edge sharpness. |
| 0513 | 14:42
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Comparison of 31P MRS in human pancreas and liver at 7 Tesla |
| Leonard W.F. Seelen1,2, Lieke van den Wildenberg1, Ayhan Gursan1, W.J. Mark Gosselink1, Wybe J.M. van der Kemp1, Firdaus A.A. Mohamed Hoesein3, Nadia Haj Mohammad4, I. Quintus Molenaar2, Hjalmar C. van Santvoort2, Dennis W.J. Klomp1, and Jeanine J. Prompers1 | ||
1Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Dept. of Surgery, UMC Utrecht Cancer Center and St Antonius Hospital Nieuwegein: Regional Academic Cancer Center Utrecht, Utrecht University, Utrecht, Netherlands, 3Dept. of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 4Dept. of Medical Oncology, UMC Utrecht Cancer Center, Regional Academic Cancer Center Utrecht, Utrecht University, Utrecht, Netherlands |
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Keywords: Pancreas, Non-Proton 31P MRS could be valuable for the assessment of treatment response in pancreatic cancer. Using a 31P whole-body transmit coil in combination with a 16-channel receive array at 7T, we could obtain 31P MRSI data covering both the whole liver and the deeply lying pancreas. The aim of this study was to compare 31P metabolite levels in the pancreas and liver in healthy volunteers. The PME/PDE ratio, which has been used as a tumor marker, was 2.1-fold higher in the pancreas compared to the liver. This will be important to take into account when applying 31P MRS in pancreatic tumors. |
| 0514 | 14:50
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Free-Breathing Dynamic Pancreatic MRI Using Stack-of-Stars Radial Sampling Algorithm and Compressed SENSE |
| Yoshifumi Noda1, Nobuyuki Kawai1, Tetsuro Kaga1, Kimihiro Kajita2, Yu Ueda3, Masatoshi Honda3, Fuminori Hyodo1,4, Hiroki Kato1, and Masayuki Matsuo1 | ||
1Department of Radiology, Gifu University, Gifu, Japan, 2Department of Radiology Services, Gifu University Hospital, Gifu, Japan, 3Philips Japan, Tokyo, Japan, 4Institute for Advanced Study, Gifu University, Gifu, Japan |
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Keywords: Pancreas, Pancreas Dynamic contrast-enhanced imaging is an essential examination in pancreatic MRI. However, non-diagnosable image quality due to motion artifacts and inappropriate scan timing for pancreatic phase are common problems. Recently, free-breathing sequence (4D FreeBreathing) has been introduced and it can provide diagnosable image quality even in free-breathing. In this study, we evaluated the feasibility of 4D FreeBreathing in pancreatic MRI. Our results showed that 4D FreeBreathing could provide diagnosable image quality and appropriate pancreatic phase scanning could be achieved in all examinations. |
| 0515 | 14:58
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Magnetic resonance elastography-derived stiffness: potential biomarker for differentiation of benign and malignant pancreatic masses |
| Dingxia Liu1, Jiejun Chen1, Yunfei Zhang2, Yongming Dai2, and Xiuzhong Yao1 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Pancreas, Cancer Magnetic resonance elastography (MRE) is a noninvasive technique capable of quantifying tissue mechanical properties (stiffness) in vivo. Given its specialty, it is supposed to be potential for identifying malignant tumors that are characterized by a marked desmoplastic reaction and build-up of fibrotic tissues in cancer cells and tumor microenvironment. However, the field has been largely restricted to studies in pancreatic MRE. This study sought to determine the diagnostic performance of MRE for pancreatic solid masses, compared with diffusion-weighted imaging (DWI) and serum CA19-9, to establish a threshold for differentiating between pancreatic ductal adenocarcinoma (PDAC) and benign tumors in pancreas. |
| 0516 | 15:06
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In vivo Quantitative evaluation of MR Imaging: Irisin Activates Brown Adipose Tissue and Improves Systemic Metabolic Disorders in Obese Mice |
| Jingyue Dai1, Yufei Zhao1, and Xingui Peng1 | ||
1Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Southeast University, Zhongda Hospital, NANJING, China |
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Keywords: Endocrine, Metabolism, Brown Adipose Tissue Irisin is an exercise-induced myokine which can induce white adipose tissue browning; however, its impact on BAT remains unclear. Here, we employed MR chemical shift-selective imaging to quantify fat fraction, and to verify these MR-derived data by that from laboratory analysis to investigate the effects of irisin on BAT and systemic metabolism in obese mice. Irisin reduced the fat fraction and increased the UCP1 protein expression of BAT. Besides, irisin helped obese mice to loss weigh and improve systemic metabolic disorders. These results suggests that irisin can reactivate brown adipose tissue and improve systemic metabolic disorders in obese mice. |
| 0517 | 15:14
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Relationship between muscle fat,vertebral density and ectopic fat deposition in patients with T2DM using IDEAL-IQ |
| qi an1, qinhe zhang1, ailian liu1, liangjie lin2, and lizhi xie3 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips health care, Dalian, China, 3GE health care, Dalian, China |
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Keywords: Endocrine, Diabetes This study was carried out to evaluate the correlations between abdominal fat, vertebral density and ectopic fat deposition patients with T2DM using IDEAL-IQ.We found that SAT area,VAT area,Pancreatic FF and Abdominal wall muscle FF was positively correlated with BMD in patients with T2DM. |
| 0518 | 15:22
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Correlations between adipose tissue volume changes and its baseline MR-characteristics in people with obesity undergoing a caloric restriction |
| Daniela Junker1, Mingming Wu1, Selina Rupp1, Jessie Han1, Stella Näbauer1, Anna Reik2, Meike Wiechert2, Arun Somasundaram1, Marcus R. Makowski1, Hans Hauner2, Christina Holzapfel2, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany |
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Keywords: Endocrine, Fat Results of weight loss interventions differ individually. MRI-based quantification and characterization of adipose tissue (AT) offers methods to identify possible AT-phenotypes that facilitate AT loss. The purpose of this analysis was to evaluate how, in people with obesity undergoing an 8-week formula-based weight loss intervention, the relative AT and lipid volume loss of the subcutaneous and visceral AT depot correlate to the proton density fat fraction (PDFF) and the total volume of AT as well as the volume of lipids in each depot at the beginning of the diet. |
13:30
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Role of AI in Brain Tumors: A Clinician Perspective | |
| Javier Villanueva-Meyer1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
13:50
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Role of AI in Brain Tumors: Technical Challenges & Future Potential | |
| Anahita Fathi Kazerooni1 | ||
1University of Pennsylvania, United States |
| 0528 | 14:10
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VISIBLE: Improvement in Vessel Visibility and Application of Machine Learning to Detect Brain Metastases |
| Kazufumi Kikuchi1, Osamu Togao2, Koji Yamashita3, Makoto Obara4, and Kousei Ishigami1 | ||
1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Department of Radiology Informatics & Network, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 4Philips Japan, Tokyo, Japan |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Brain metastases This study aimed to improve vessel visibility by modifying k-space filling and to verify the usefulness of volume isotropic simultaneous interleaved bright- and black-blood examination (VISIBLE) in detecting brain metastases using machine learning (ML). We tested three types of VISIBLE in different k-space fillings, and counted the number of vessels. We also tested the ML model by using VISIBLE. The number of vessels was lower in Centric and Reversed centric sequences than that in MPRAGE, but comparable in the Startup echo 30 sequence. Our ML model was achieved high sensitivity (97%) and there were no differences among three sequences. |
| 0519 | 14:18
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Two-Stage Deep Learning with Multi-Pathway Network for Brain Tumor Segmentation and Malignancy Identification From MR Images |
| Yoonseok Choi1, Mohammed A Al-masni2, Hyeok Park1, Jun-ho Kim1, Dong-Hyun Kim1, and Roh-Eul Yoo3 | ||
1Yonsei University, SEOUL, Korea, Republic of, 2Sejong Univiersity, Seoul, Korea, Republic of, 3Seoul National University Hospital, Seoul, Korea, Republic of |
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Keywords: Tumors, Brain Accurately segmenting contrast-enhancing brain tumors plays an important role in surgical planning of high-grade gliomas. Also, precisely stratifying malignancy risk within non-enhancing T2 hyperintense area helps control the radiation dose according to the malignancy risk and prevent normal brain tissue from being unnecessarily exposed to radiation. In this work, we 1) segment brain tumors using deep learning, and 2) provide more detailed segmentation results that can show the malignancy risk within the T2 high region. We utilize a two-stage framework where we make images with restricted ROI through foreground cropping so that the model can focus on only tumor part. |
| 0520 | 14:26
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Predicting FDG PET from Multi-contrast MRIs using Deep Learning in Patients with Brain Neoplasms |
| Jiahong Ouyang1, Kevin T. Chen2, Jarrett Rosenberg1, and Greg Zaharchuk1 | ||
1Stanford University, Stanford, CA, United States, 2National Taiwan University, Taipei, Taiwan |
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Keywords: Machine Learning/Artificial Intelligence, PET/MR PET is a widely used imaging technique, but it requires exposing subjects to radiation and is not offered in the majority of medical centers in the world. Here, we proposed to synthesize FDG-PET images from multi-contrast MR images using a U-Net-based network with attention modules and transformer blocks. The experiments on a dataset with 87 brain lesions in 59 patients demonstrated that the proposed method was able to generate high-quality PET from MR images without the need for radiotracer injection. We also demonstrate methods to handle potential missing or corrupted sequences. |
| 0521 | 14:34
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A Pretrained CNN Model Using Multiparametric MRI to Identify WHO Tumor Grade of Meningiomas |
| Sena Azamat1,2, Buse Buz-Yaluğ1, Alpay Ozcan3, Ayça Ersen Danyeli4,5,6, Necmettin Pamir5,7, Alp Dinçer4,8, Koray Ozduman4,7, and Esin Ozturk-Isik1,4 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Radiology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey, 3Electric and Electronic Engineering Department, Bogazici University, Istanbul, Turkey, 4Brain Tumor Research Group, Acibadem University, Istanbul, Turkey, 5Center for Neuroradiological Applications and Reseach, Acibadem University, Istanbul, Turkey, 6Department of Medical Pathology, Acibadem University, Istanbul, Turkey, 7Department of Neurosurgery, Acibadem University, Istanbul, Turkey, 8Department of Radiology, Acibadem University, Istanbul, Turkey |
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Keywords: Tumors, Machine Learning/Artificial Intelligence Meningiomas are the most common primary extra-axial intracranial tumors in adults. Grade of meningioma helps to predict the patient prognosis. Sixty-two patients with preoperative MRI were included in this IRB approved study. The whole tumor volumes were segmented from FLAIR, followed by co-registration onto SWI. A pretrained convolutional neural network (CNN) was employed to classify meningiomas into high and low-grades based on SWI, CE-T1W and FLAIR MRI. The pretrained CNN with data augmentation resulted in an accuracy of 80.2% (sensitivity=82.6% and specificity=78.1%) for identifying grades in meningiomas. |
| 0522 | 14:42
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The MRI-based 3D-ResNet-101 deep learning model for predicting preoperative grading of gliomas: a multicenter study |
| Darui Li1, Wanjun Hu1, Tiejun Gan1, Guangyao Liu1, Laiyang Ma1, Kai Ai2, and Jing Zhang1 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Deep learning The preoperative accurate and non-invasive prediction of glioma grading remains challenging. To accurately predict high-or low-grade gliomas, we constructed a 3D-ResNet101 deep learning model with data from a multicenter. These data were obtained from the Second Hospital of Lanzhou University, with 708 glioma patients, and the TCIA database, with 211 patients. The areas under the curve of the 3D-ResNet-101 deep learning model are 0.97 and 0.89 in the test cohort and external test cohort, respectively. This new method can be used for non-invasive prediction of glioma grading before surgery. |
| 0523 | 14:50
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IRIS-DL: A Deep Learning Software Tool for Identifying Genetic Mutations in Gliomas and Meningiomas |
| Abdullah Bas1, Banu Sacli-Bilmez1, Buse Buz-Yalug1, Esra Sumer1, Sena Azamat1, Gokce Hale Hatay1, Ayca Ersen Danyeli2,3, Ozge Can2,4, Koray Ozduman2,5, Alp Dincer2,6, and Esin Ozturk-Isik1,2 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Brain Tumor Research Group, Acibadem University, Istanbul, Turkey, 3Department of Medical Pathology, Acibadem University, Istanbul, Turkey, 4Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey, 5Department of Neurosurgery, Acibadem University, Istanbul, Turkey, 6Department of Radiology, Acıbadem University, Istanbul, Turkey |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Deep Learning Intelligent Radiological Imaging Systems (IRIS)-DL is a deep learning software tool that includes libraries for segmenting tumor regions and identifying several genetic mutations in gliomas and meningiomas. The tool has three modules, which are “Model Library”, “Trainer”, and “Plotter”. In the “Model Library”, the users could run pre-trained models on their local data. The “Trainer” module is for creating custom AI (conventional machine learning, artificial neural networks, and deep learning) models on the user data. Lastly, “Plotter” module is for data visualization and explorative data analysis. |
| 0524 | 14:58
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Multi-Task Radiomics Approach for Prediction of IDH Mutation Status and Early Recurrence of Gliomas from Preoperative MRI |
| Hongxi Yang1, Ankang Gao2, Yida Wang1, Yong Zhang2, Jingliang Cheng2, Yang Song3, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Keywords: Tumors, Brain We retrospectively enrolled 243 patients to develop a multi-task radiomics approach to predict IDH mutation status and early recurrence simultaneously in patients with WHO II-IV gliomas from preoperative multi-parametric MRI (mp-MRI). Firstly, multi-task LASSO was performed to find features shared between the two tasks, which were then combined with task-specific features selected recursively to build radiomics models. The models achieved test AUCs of 0.826 and 0.770 for IDH mutation status identification and early recurrence prediction, respectively. Shared features enabled the models to achieve satisfactory performance with minimum number of features, avoiding overfitting and making the models more interpretable. |
| 0525 | 15:06
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Differentiation of recurrent tumor from post-treatment changes in Glioblastoma patients using Deep Learning and Restriction Spectrum Imaging |
| Louis Gagnon1, Diviya Gupta1, Nathan S White2, Vaness Goodwill3, Carrie McDonald4, Thomas Beaumont5, Tyler M Seibert1,4,6, Jona Hattangadi-Gluth4, Santosh Kesari7, Jessica Schulte8, David Piccioni8, Anders M Dale1,8, Nikdokht Farid1, and Jeffrey D Rudie1 | ||
1Department of Radiology, University of California San Diego, La Jolla, CA, United States, 2Cortechs.ai, San Diego, CA, United States, 3Department of Pathology, University of California San Diego, La Jolla, CA, United States, 4Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 5Department of Neurological Surgery, University of California San Diego, La Jolla, CA, United States, 6Department of Bioengineering, University of California San Diego, La Jolla, CA, United States, 7Department of Translational Neurosciences, Pacific Neuroscience Institute and Saint John’s Cancer Institute at Providence Saint Johns’ Health Center, Santa Monica, CA, United States, 8Department of Neuroscience, University of California San Diego, La Jolla, CA, United States |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Differentiating recurrent tumor from post-treatment changes is challenging in glioblastoma. Using restriction spectrum imaging (RSI) and deep learning, we were able to accurately identify and segment residual and recurrent enhancing and non-enhancing cellular tumor in post-treatment brain MRIs. Including RSI in the deep learning model improved tumor segmentation due to the ability of RSI to separate cellular tumor from peritumoral edema and treatment related enhancement. The volume of cellular tumor was also predictive of survival. Our results suggest that combining deep learning and RSI may identify recurrent tumor in glioblastoma patients, which could improve targeted treatments and guide clinical decision-making. |
| 0526
|
15:14
|
Defining radiation target volumes for glioblastoma from predictions of tumor recurrence with AI and diffusion & metabolic MRI |
| Nate Tran1,2,3, Jacob Ellison1,2,3, Tracy Luks1, Yan Li1,3, Angela Jakary1, Oluwaseun Adegbite1,2, Ozan Genc1,3, Bo Liu1,2, Hui Lin2,4, Javier Villanueva-Meyer1,3, Olivier Morin4, Steve Braunstein4, Nicholas Butowski5, Jennifer Clarke5, Susan M. Chang5, and Janine M. Lupo1,2,3 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UC Berkeley - UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, United States, 3Center for Intelligent Imaging, University of California, San Francisco, San Francisco, CA, United States, 4Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States, 5Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Tumors, Radiotherapy Using pre-radiotherapy anatomical, diffusion, and metabolic MRI from 42 patients newly-diagnosed with GBM, we first used Random Forest models to identify voxels that later exhibit either contrast-enhancing or T2 lesion progression. We then applied convolutional encoder-decoder neural networks to pre-radiotherapy imaging to segment subsequent tumor progression and found that the resulting predicted region better covered the actual tumor progression while sparing normal brain compared to the standard uniform 2cm expansion of the anatomical lesion to define the radiation target volume. This shows that multi-parametric MRI with deep learning has the potential to assist in future RT treatment planning. |
| 0527 | 15:22
|
Predicting Post-Stereotactic Radiotherapy Magnetic Resonance Images: A Proof-of-Concept Study in Breast Cancer Metastases to the Brain |
| Shraddha Pandey1,2, Tugce Kutuk3, Matthew N Mills4, Mahmoud Abdalah5, Olya Stringfield5, Kujtim Latifi4, Wilfrido Moreno1, Kamran Ahmed4, and Natarajan Raghunand2 | ||
1Electrical Engineering, University of South Florida, Tampa, FL, United States, 2Department of Cancer Physiology, H.Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States, 3Department of Radiation Oncology, Baptist Health South Florida, Miami, FL, United States, 4Department of Radiation Oncology, H.Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States, 5Quantitative Imaging Shared Service, H.Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States |
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Keywords: Tumors, Radiotherapy, Image Prediction Stereotactic radiosurgery (SRS) can provide effective local control of breast cancer metastases to the brain while limiting damage to surrounding healthy tissues. Knowledge-based algorithms have been reported that can alleviate the manual aspects of radiation dose planning, but these do not currently provide voxel-level dose prescriptions that are optimized for tumor control and avoidance of radionecrosis and associated toxicity. On the assumption that a voxelwise relationship exists between pre-SRS MR images, the RT dose map, and the resulting post-SRS MR images, we have investigated a deep learning framework to predict the latter from the former two. |
| 0529 | 13:30
|
Pseudo Partition-encoded Simultaneous Multislab (pPRISM) for Submillimeter Diffusion Imaging Without Navigator and Slab-Boundary Artifacts |
| Wei-Tang Chang1,2,3 | ||
1Radiology, UNC at Chapel Hill, Chapel Hill, NC, United States, 2Biomedical Research Imaging Center, UNC at Chapel Hill, Chapel Hill, NC, United States, 3Biomedical Engineering, UNC at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: Pulse Sequence Design, Diffusion Tensor Imaging The ability to achieve submillimter isotropic resolution diffusion MR imaging (dMRI) is critically important to study fine-scale brain structures. While the multi-shot approaches, including SMSlab and gSlider-SMS, have been proposed to mitigate the inherently low SNR, the SMSlab sequences require additional navigators for phase estimation and both SMSlab and gSlider-SMS suffered from the slab-boundary artifacts. This study proposed two new concepts: PRISM encoding and 2) pseudo slab in order to mitigate the slab-boundary artifacts and shorten the scan time. Together, this study achieved the dMRI with 0.86 mm isotropic resolution with 16.3%-43.6% reduction of scan time compared to gSlider. |
| 0530
|
13:38
|
Multiphoton Simultaneous Multislice Imaging with CAIPIRINHA Phase Encoding |
| Tanya Deniz Ipek1, Victor Han1, and Chunlei Liu1,2 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: RF Pulse Design & Fields, RF Pulse Design & Fields, Multiphoton, SAR Simultaneous multislice (SMS) imaging methods reduce scan time but increase specific absorption rate (SAR) because of additional radiofrequency (RF) pulses required for exciting multiple slices. Multiphoton excitation was recently proposed to significantly reduce SAR for SMS imaging. In this work, we further developed a phase-modulated multiphoton SMS excitation method that achieves CAIPIRINHA-type controlled aliasing, which improves image reconstruction quality significantly. Images obtained with our custom multiphoton CAIPIRINHA-SMS sequence have reduced aliasing artifacts and higher SNR compared to images obtained with a multiphoton SMS sequence without CAIPIRINHA. For a three-slice design, SAR is reduced by a factor of two. |
| 0531
|
13:46
|
SNR-efficient, motion-robust multi-echo SPGR with k-space aliasing |
| Peter J Lally1,2, Mark Chiew3, Paul M Matthews1,4, Karla L Miller5, and Neal K Bangerter6 | ||
1Department of Brain Sciences, Imperial College London, London, United Kingdom, 2Centre for Care Research and Technology, UK Dementia Research Institute, London, United Kingdom, 3Medical Biophysics, University of Toronto, Toronto, ON, Canada, 4UK Dementia Research Institute at Imperial, London, United Kingdom, 5Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 6Department of Bioengineering, Imperial College London, London, United Kingdom |
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Keywords: Data Acquisition, Pulse Sequence Design, SSFP, susceptibility The behaviour of magnetisation under RF spoiling is typically considered to be pseudorandom from TR to TR. Here we describe a model for the coherent underlying phase behaviour which we exploit in a new acquisition strategy. We propose this as an SNR-efficient and motion-robust alternative to multi-echo spoiled gradient echo acquisitions. |
| 0532
|
13:54
|
Multi-echo RF spatial phase encoding for gradient-free imaging in a nonuniform B0-field at low-field |
| Kartiga Selvaganesan1, Yonghyun Ha2, Chenhao Sun2, Anja Samardzija1, Zhehong Zhang1, Heng Sun1, Gigi Galiana2, and Todd Constable2 | ||
1Biomedical Engineering, Yale University, New Haven, CT, United States, 2Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States |
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Keywords: Pulse Sequence Design, Low-Field MRI The cost and complexity of MR scanners can be significantly reduced by eliminating conventional linear gradient coils, and instead using RF coils for spatial encoding. Here we have developed a novel multi-echo RF phase encoding pulse sequence that exploits the Bloch-Siegert shift for nonlinear spatial encoding in a nonuniform, field-cycling, low-field MR system. Phantoms of varying sizes were successfully imaged using this pulse sequence, demonstrating that this technique can be used to perform gradient-free imaging in an inhomogeneous B0-field at low-field. |
| 0533 | 14:02
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Semi-Randomized Trajectories to the Rescue: Reducing Artifacts from Fluctuating Physiological Signals in 3D Steady-State MRI |
| Amir Seginer1 and Rita Schmidt2 | ||
1Siemens Healthcare Ltd, Rosh Ha'ayin, Israel, 2Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel |
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Keywords: Data Acquisition, Artifacts, ultra-high field Rapid 3D steady-state sequences such as SWI are sensitive to semi-periodic physiological fluctuations (e.g., cardiac pulsation, breathing, and eye movement) resulting in repeating artifacts in the images. Randomization of the phase-encoding order reduces the above artifacts but results in apparent noise from slow global changes (like motion or eddy currents changes). We propose a new semi-randomized acquisition order that allows to set a cutoff frequency for artifact suppression; above which artifacts are suppressed, whereas artifacts from slower changes are unaffected. Simulations and SWI human brain scanning at 7T validate the method. |
| 0534
|
14:10
|
MR Sampling Patterns Learned with Variational Information Maximization |
| Cagan Alkan1, Shreyas Vasanawala2, and John Pauly1 | ||
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Data Acquisition, Data Sampling Variational information maximization allows joint optimization of MR data sampling and reconstruction and improves reconstruction quality upon the heuristically designed sampling patterns. Here, we analyze the learned sampling patterns with respect to changes in acceleration factor, measurement noise, anatomy, and coil sensitivities in order to provide some interpretation. We show that all of these factors contribute to the optimization result by impacting the sampling density, k-space coverage and point spread functions of the learned sampling patterns. |
| 0535
|
14:18
|
MR-double-zero in vivo: Model-free and live MRI contrast optimization running a loop over a real scanner with a real subject. |
| Sebastian Mueller1,2, Felix Glang1, Klaus Scheffler1,2, and Moritz Zaiss1,3 | ||
1High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany, 3Institute of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany |
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Keywords: Pulse Sequence Design, Pulse Sequence Design Recently, we proposed a framework for automatized, model-free MR sequence design for contrast generation. The concept was proven by optimizing the contrast-generating sequence using a real MRI scanner for scanning model solutions repeatedly until convergence to the target. In this work, we demonstrate for the first time that this live optimization loop can also be used directly on a real subject’s brain. As an example, GM/WM contrast for a GRE sequence was optimized fully automatically in a model-free and reference-free manner live in a healthy subject at a 3T MR scanner. |
| 0536
|
14:26
|
Variable-flip-angle 3D spiral-in-out TSE/SPACE using echo-reordering and concomitant gradient compensation at 0.55 T |
| Zhixing Wang1, Rajiv Ramasawmy2, Ahsan Javed2, John P. Mugler3, Craig H. Meyer1,3, and Adrienne E. Campbell-Washburn2 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 3Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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Keywords: Data Acquisition, Data Acquisition This study describes an alternative approach to Cartesian SPACE for 1 mm3 isotropic whole brain T2-weighted imaging on a high performance 0.55T scanner. In this technique, the Cartesian readouts were replaced by interleaved, rotated spiral-in-out trajectories, combined with a variable-flip-angle refocusing, echo-reordering, and concomitant gradient compensation. Parallel imaging (PI) and compressed sensing (CS) were utilized for further acceleration. Compared to 3D-Cartesian SPACE, this method can be leveraged to mitigate the lower SNR of 0.55T via the improved SNR efficiency of prolonged spiral trajectory sampling. |
| 0537 | 14:34
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Spiral Fast Spin Echo MRI with Interleaved Diffusion Sensitization for Simultaneous ADC and T2 Mapping |
| Lars Bielak1,2, Jürgen Hennig1, Thomas Lottner1, and Michael Bock1,2 | ||
1Dept.of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany |
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Keywords: Pulse Sequence Design, Multi-Contrast A sequence design is presented based on spiral fast spin echo acquisition with interleaved diffusion sensitization for simultaneous ADC and T2 mapping. With spiral readout trajectories only few echoes need to be acquired per (TE,b) pair allowing to accelerate the acquisition significantly. A phantom experiment with single echo per k-space is shown for T2 and ADC mapping. With a model-based reconstruction both parameter maps can be rapidly reconstructed. |
| 0538 | 14:42
|
3D Fast Spin Echo using Frequency-Modulated RF Pulses for MRI in Highly Inhomogeneous Magnetic Fields |
| Naoharu Kobayashi1 and Michael Garwood1 | ||
1CMRR, Department of Radiology, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Data Acquisition, Pulse Sequence Design, Inhomogeneous field 3D Fast spin echo (FSE) with frequency-modulated (FM) pulses has been introduced for MRI in highly inhomogeneous fields. B1 dependent phase in FM pulse excitation and refocus was adjusted in the FM-FSE pulse sequence. Refocus flip angles in FM-FSE were determined with prospective extended phase graph (EPG). Proposed flip angle and phase in FM-FSE were validated in EPG simulation and experiments at 3T by introducing a linear inhomogeneous field. Finally, in vivo human brain imaging with T1- and T2-weighting was performed using the proposed 3D FM-FSE sequence. |
| 0539 | 14:50
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Rapid Mesoscale MP2RAGE Imaging at Ultra High Field with Controlled Aliasing |
| Gabriel Varela-Mattatall1,2, Wei-Ching Lo3, Omer Oran4, Jonathan Polimeni5,6, Azma Mareyam5,7, Borjan Gagoski8,9, Ravi S. Menon1,2, and Berkin Bilgic5,6 | ||
1Centre for Functional and Metabolic Mapping (CFMM), Robarts Research Institute, Western University, London, ON, Canada, 2Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada, 3Siemens Medical Solutions USA, Boston, MA, United States, 4Siemens Healthcare Limited, Oakville, ON, Canada, 5Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States, 6Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, MA, United States, 7Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, Boston, MA, United States, 8Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 9Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Data Acquisition, New Trajectories & Spatial Encoding Methods MP2RAGE is considered the workhorse sequence at ultra-high field (UHF) as it provides high-contrast and bias-free structural imaging for both anatomical and segmentation purposes. However, high-resolution MP2RAGE imaging is hampered by lengthy acquisitions, which can be partially mitigated using parallel imaging, but this comes at the cost of g-factor and √R penalties on SNR; thus, limiting the usefulness of this sequence at the submillimeter scale. In this work, we show preliminary results on how wave encoding, and blipped-controlled aliasing could allow efficient MP2RAGE acquisitions at up to 560 um isotropic resolution at 7T. |
| 0540 | 14:58
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Benchmarking common and advanced non-Cartesian trajectories with high acceleration and static off-resonance effects |
| Guillaume Daval-Frérot1,2,3, Chaithya G R2,3, Fernanda Ponce2,3, Aurélien Massire1, Boris Mailhe4, Mariappan Nadar4, Alexandre Vignaud2, and Philippe Ciuciu2,3 | ||
1Siemens Healthineers, Saint-Denis, France, 2CEA, NeuroSpin, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France, 3Inria, MIND, Palaiseau, France, 4Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, United States |
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Keywords: Data Acquisition, Data Acquisition, Non-Cartesian; SPARKLING Non-Cartesian sampling patterns allow for highly accelerated MRI exams at the cost of exacerbated and more complex artifacts, each impacting image quality in unique ways. Patient-induced B0 field inhomogeneities can notably cause distortions and blurring, but some trajectories are by design more robust to them. We propose to retrospectively benchmark 16 different non-Cartesian sampling patterns with high acceleration factor (AF=20) and realistic off-resonance artifacts over 9 volumes acquired at 3T with 0.6 mm isotropic spatial resolution. SPARKLING and spiral-based trajectories achieve higher image quality scores, but only the former shows robustness to off-resonance effects through the MORE-SPARKLING extension. |
| 0541
|
15:06
|
Mesoscale distortion-free in-vivo dMRI at 7T using ROtating-view Motion-robust supEr Resolution EPTI (Romer-EPTI) |
| Zijing Dong1,2, Jonathan R. Polimeni1,2,3, Lawrence L. Wald1,2,3, and Fuyixue Wang1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Charlestown, MA, United States, 3Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States |
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Keywords: Data Acquisition, Brain Pushing the spatial resolution of diffusion MRI to mesoscale is technically challenging due to the low SNR efficiency and severe image artifacts. Last year, we presented a novel ROtating-view Motion-robust supEr Resolution Echo Planar Time-resolved Imaging method (Romer-EPTI), providing significant gains (~3.5×) in SNR efficiency and high-quality images free from distortion with minimized motion artifacts. In this work, we further developed Romer-EPTI at 7T for in-vivo mesoscale dMRI. By exploiting the higher signal of 7T and the short-TE, high-SNR, distortion-free acquisition provided by Romer-EPTI, mesoscale whole-brain dMRI at an unprecedented 485-μm isotropic resolution was acquired. |
| 0542 | 15:14
|
Multiband T-Hex spirals for rapid and SNR-efficient diffusion-weighted MRI |
| Maria Engel1, Lars Müller1,2, André Döring1, and Derek Jones1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom |
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Keywords: New Trajectories & Spatial Encoding Methods, New Trajectories & Spatial Encoding Methods Diffusion weighted imaging (DWI) for advanced modelling of tissue microstructure is notoriously short in SNR and requires long scan times. In this work we boost the SNR of DWI by combining highly efficient T-Hex sampling with multiband imaging and spiral readout schemes. This allows for an unprecedented SNR efficiency and holds promise for advanced microstructural scans especially in clinical populations. |
| 0543 | 15:22
|
Cartesian Ultrashort Echo Time (CUTE) Imaging of the Lung Parenchyma |
| Richard Thompson1, Christopher Keen1, Hefin Jones2, Richard Coulden2, Peter Seres1, and Justin Grenier1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Radiology & Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada |
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Keywords: Pulse Sequence Design, Lung, UTE, Heart Failure, Cartesian The Cartesian UTE (CUTE) sequence provides high quality three-dimensional imaging of the lung parenchyma (TE = 140 us) without the requirement for k-space gridding in a short breath-hold. Phantom validation and comparison to an existing UTE sequence (Spiral VIBE) is provided in 64 healthy subjects and in clinical examples. |
| 0544
|
13:30
|
4D aortic motion maps from isotropic high-resolution 3D CINE balanced steady state free precession at 3T and automated segmentations |
| Renske Merton1,2, Daan Bosshardt1,2, Gustav J. Strijkers3, Aart J. Nederveen1, Eric M. Schrauben1, and Pim van Ooij1,2 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands, 2Atherosclerosis and Ischemic Syndromes, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands, 3Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands |
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Keywords: Vessel Wall, Segmentation, 4D motion, aorta In this study we introduce 4D aortic displacement and diameter change estimations from isotropic high-resolution 3D CINE CMR as novel biomarkers for aortic stiffness. These could potentially be used as an alternative to pulse wave velocity stiffness measurements which can be unreliable for very stiff aortas as found in for example Marfan syndrome patients. Using deep learning for segmentation, visualization and quantification of aortic motion is demonstrated through 4D aortic motion maps. Time curves of displacement showed the typical cyclic behavior of cardiac motion, with a maximum displacement median of 10.3 (3.6) mm over 14 healthy volunteers. |
| 0545 | 13:38
|
REACT-QUANT: simultaneous non-contrast-enhanced subclavian MRA and vessel-wall imaging with multi-parametric quantitative mapping |
| Masami Yoneyama1, Yasuhiro Goto2, Michinobu Nagao3, Shuo Zhang4, Kayoko Abe3, Yutaka Hamatani2, Kazuo Kodaira2, Takumi Ogawa2, Mana Kato2, Isao Shiina2, Christian Stehning4, and Marc Van Cauteren5 | ||
1Philips Japan, Tokyo, Japan, 2Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, 3Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan, 4Philips Healthcare, Hamburg, Germany, 5Philips Healthcare, Best, Netherlands |
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Keywords: Atherosclerosis, Atherosclerosis Clinical imaging procedure for vascular evaluation and tissue characterization often needs separate MR scans. Both scenarios require multiple imaging sequences with different image contrasts, which results in long exam times and image misalignment due to possible motion between the scans that needs to be corrected in post-processing. In this work, the recently proposed REACT (Relaxation-Enhanced Angiography without ContrasT) technique was further developed and combined with multi-echo data acquisitions and Dixon-based chemical-shift-based water-fat separation. Initial results in patients showed great promise in detection and assessment of vascular and vessel wall lesions in one single scan. |
| 0546 | 13:46
|
Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MRA by deep learning constrained compressed sensing |
| Xi Wu1,2, Jiayu Sun1, and Xiaoyong Zhang3 | ||
1West China Hospital, Sichuan University, Chengdu, China, 2Affiliated Hospital of North Sichuan Medical College, Nanchong, China, 3Clinical Science, Philips Healthcare, Chengdu, China |
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Keywords: Vessels, Cardiovascular, deep learning The balanced steady-state free precession (bSSFP) sequence is widely used for navigated whole-heart coronary magnetic resonance angiography (MRA) for the evaluation of coronary anatomy and abnormalities due to its inherently high blood signal intensity and blood-myocardial contrast. However, the main drawback of this approach is that the scan time is longer and prone to interference with motion artifacts. In this study, we investigated the utility of whole-heart coronary MRA using accelerated bSSFP with compressed sensing artificial intelligence (CSAI) technique at 3 Tesla. The results demonstrated the adopted CS-AI technique yielded high image quality within a clinically feasible acquisition time in healthy subjects and patients with suspected CAD. |
| 0547
|
13:54
|
Whole-Heart Cardiovascular Magnetic Resonance Angiography (CMRA) with iNAV-based Non-Rigid Motion-Corrected Reconstruction at 0.55T |
| Carlos Castillo-Passi1,2,3, Michael G. Crabb1, Camila Muñoz1, Karl P. Kunze1,4, Radhouene Neji 1,4, Pablo Irarrazaval2,3,5, Claudia Prieto1,3,5, and Rene M. Botnar1,2,3,5 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 4MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 5Electrical Engineering Department, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Heart, Low-Field MRI In this work, we demonstrate the feasibility of free-breathing whole-heart magnetic resonance angiography (CMRA) at 0.55T. We implemented an image navigator (iNAV)-based non-rigid motion-corrected reconstruction with 100% respiratory scan efficiency and patch-based low-rank (PROST) denoising. The research sequence was validated on three healthy subjects, showing that whole-heart CMRA provides good depiction of the coronary arteries at 0.55T in under 6 minutes scan time. |
| 0548 | 14:02
|
Fetal cardiac 3D cine MRI at low field - whole heart slice-to-volume reconstruction from real-time spiral SSFP at 0.55T |
| Joshua F P van Amerom1, Ye Tian2, Datta S Goolaub1, John Wood3,4, Jon Detterich4, Krishna S Nayak2, and Christopher K Macgowan1,5 | ||
1Translational Medicine, Hospital for Sick Children, Toronto, ON, Canada, 2University of Southern California, Los Angeles, CA, United States, 3Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 4Division of Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 5Department ofMedical Biophysics, University of Toronto, Toronto, ON, Canada |
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Keywords: Heart, Fetus, Cine, 4D, Whole Heart, Morphology Spiral SSFP of the fetal heart at low-field has the advantage of low artifact and high sampling efficiency, compared to conventional systems. This work demonstrates the feasibility of spiral SSFP on a high-performance 0.55 T scanner to produce high spatiotemporal resolution real-time 2D and motion-corrected slice-to-volume super-resolution reconstructed 3D cine images of the heart and great vessels of the human fetus in utero. Patient comfort is improved with the use of a low-field scanner, while motion-robust slice-to-volume reconstruction allows for free-breathing acquisitions that do not require precise scan plane prescriptions during acquisition. |
| 0549 | 14:10
|
Highly-Accelerated Real-Time Myocardial Tagging for Exercise CMR at 3T |
| Manuel A Morales1, Siyeop Yoon1, Ahmed Fahmy1, Jennifer Rodriguez1, Daniel B Herzka2, Warren J Manning1, and Reza Nezafat1 | ||
1BIDMC, Boston, MA, United States, 2Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Heart, Pulse Sequence Design Combined cardiac MRI and exercise (Ex-CMR) is a stress imaging test with promising applications in cardiovascular disease (CVD). Ex-CMR myocardial tagging could provide insights into myocardial deformation post-exercise. We sought to develop an SSFP-based highly-accelerate (12-fold) free-breathing ECG-free real time tagging sequence for quantification of beat-to-beat variation of myocardial deformation at rest and after exercise. The proposed real time sequence achieved a spatiotemporal resolution of 2 x 2 mm2 and 27.6 ms. Feasibility of real time imaging at 3T post-exercise was demonstrated in patients with heart failure with preserved (HFpEF) and reduced (HFrEF) ejection fraction. |
| 0550
|
14:18
|
Highly Accelerated Cartesian Real-Time Cine CMR Using Subject-Specific Zero-Shot Deep Learning Reconstruction |
| Omer Burak Demirel1,2, Chi Zhang1,2, Burhaneddin Yaman1,2, Merve Gulle1,2, Tim Leiner3, Peter Kellman4, and Mehmet Akçakaya1,2 | ||
1Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Department of Radiology, Mayo Clinical, Rochester, MN, United States, 4National Heart-Lung and Blood Institute, Bethesda, MD, United States |
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Keywords: Heart, Heart Real-time cine CMR is an ECG-free free-breathing alternative for functionally assessing the heart. To achieve sufficient spatio-temporal resolutions, these require rapid imaging, e.g. compressed sensing (CS) with radial trajectories. However, at high accelerations, CS may suffer from residual aliasing and temporal blurring. Recently, deep learning (DL) reconstruction has gained immense interest for fast MRI. Yet, for free-breathing real-time cine, where subjects have different breathing and cardiac motion patterns, database learning of spatiotemporal correlations has been difficult. Here, we propose a physics-guided DL reconstruction trained in a subject-specific manner. Proposed method improves image quality compared to database-trained DL and conventional methods. |
| 0551 | 14:26
|
Interactive Cardiac Magnetic Resonance Imaging using jointly optimized spiral acquisition and deep artifact suppression network. |
| Olivier Jaubert1, Javier Montalt-Tordera1, Dan Knight2, Simon Arridge3, Jennifer Steeden1, and Vivek Muthurangu1 | ||
1Institute of Cardiovascular Sciences, University College London, London, United Kingdom, 2Department of Cardiology, Royal Free London NHS Foundation Trust, London, United Kingdom, 3Department of Computer Science, University College London, London, United Kingdom |
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Keywords: Heart, Machine Learning/Artificial Intelligence, Interventional, Interactive Interactive MR sequences have relatively low spatial and temporal resolution due to the limited acquisition and reconstruction time available. We propose to jointly optimize a variable density spiral acquisition and deep artifact suppression network (via a bandit-based approach) to maximize acquisition and reconstruction efficiency and provide interactive high spatio-temporal resolution images. The proposed approach was characterized in simulations and demonstrated prospectively in-vivo, offering promising performance with improved image quality and good handling of abrupt scan-plane changes. |
| 0552 | 14:34
|
Real Time Cardiovascular MR During Exercise in Heart Failure with Preserved Ejection Fraction (HFpEF) |
| Daniel P Seiter1, Philip A Corrado1, Farhan Raza2, and Oliver Wieben1,3 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Medicine, Cardiovascular Division, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Heart, Cardiovascular, Exercise, real time Right heart catheterization during exercise is the current gold standard for diagnosis of heart failure with preserved ejection fraction (HFpEF) but carries the risk of an invasive procedure. In this work, we present preliminary data using real time cardiac magnetic resonance imaging during exercise in a HFpEF cohort with comparison to healthy controls. |
| 0553 | 14:42
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Deep kernel method for free-breathing and ungated cardiac MRI reconstruction |
| Qing Zou1, Sanja Dzelebdzic1, and Tarique Hussain1 | ||
1University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Heart, Machine Learning/Artificial Intelligence, Reconstruction We introduce a deep kernel model for the recovery of free-breathing and ungated cardiac MRI from highly undersampled measurements. The proposed scheme uses the cascade of two deep convolutional neural networks for the kernel representation of images. The parameters of the two CNNs in the proposed method are learned from the undersampled measurements directly in this work and hence the framework is unsupervised. The main benefits of the proposed scheme are (a) the elimination of the empirical choice of the feature map and kernel function in the kernel method, and (b) the unsupervised nature of the proposed framework. |
| 0554
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14:50
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Self-Gated Cardiac Phase-Contrast Balanced SSFP at 0.55T |
| Charles McGrath1, Oliver Bieri2,3, Sebastian Kozerke1, and Grzegorz Bauman2,3 | ||
1University and ETH Zurich, Zurich, Switzerland, 2Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 3Department of Biomedical Engineering, University of Basel, Basel, Switzerland |
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Keywords: Flow, Low-Field MRI Free-running radial phase-contrast balanced steady-state free precession (PC-bSSFP) imaging including slice-select gradient inversion and respiratory and cardiac self-gating enables robust through-plane flow quantification in the aorta with excellent image signal-to-noise ratio (SNR) and contrast on a low-cost low-field 0.55T scanner. Relative to phase-contrast spoiled gradient echo (PC-GRE), PC-bSSFP offers SNR improvements by a factor of about two. Keywords: Flow, Low-Field, Balanced SSFP, Phase-Contrast, Self-gated |
| 0555 | 14:58
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Intra-bin correction and inter-bin compensation of respiratory motion in free-running 5D whole-heart MRI |
| Christopher W. Roy1,2, Bastien Milani1,2, Jérôme Yerly1,2,3, Salim Si-Mohamed1,4,5, Estelle Tenisch1,2, Tobias Rutz2,6, Milan Prsa2,7, Ludovica Romanin1,2,8, Aurélien Bustin9,10, Davide Piccini1,8, and Matthias Stuber1,2,3 | ||
1Diagnostic and Interventional Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 2University of Lausanne, Lausanne, Switzerland, 3Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 4University Lyon, Lyon, France, 5Radiology, Louis Pradel Hospital, Lyon, France, 6Service of Cardiology, Heart and Vessel Department, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 7Division of Pediatric Cardiology, Woman-Mother-Child Department, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 8Advanced Clinical Imaging Technology, Siemens Healthcare International AG, Lausanne, Switzerland, 9IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, Bordeaux, France, 10Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, Bordeaux, France |
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Keywords: Heart, Motion Correction In this work, we develop, validate, and apply a novel reconstruction framework for intra-bin correction and inter-bin compensation of respiratory motion in cardiac and respiratory motion-resolved free-running whole heart 5D MRI. We demonstrate respiratory resolved images with reduced artifact and without compressing the underlying physiological motion providing a means to increase the acquired resolution, accelerate the acquisition, or investigate respiratory driven changes in cardiac output and blood flow, potentially leading to new MRI driven biomarkers for cardiovascular disease |
| 0556 | 15:06
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Free-running 5D whole-heart MRI with ferumoxytol enhancement to evaluate cardiac function in congenital heart disease |
| Salim Aymeric Si-Mohamed1,2, Ludovica Romanin3, Mariana Falcao3, Jerome Yerly2, Estelle Tenisch2, Tobias Rutz2, Charles De Bourguignon4, Jurg Schwitter5, Matthias Stuber3, Christopher Roy2, and Milan Prsa6 | ||
1Radiology department, University of Lyon, Lyon, France, 2CIBM, CHUV, Lausanne, Switzerland, 3CIBM, CHUV, Lausanne, France, 4Research radiology department, Hospices Civiles de Lyon, Lyon, France, 5Cardiology, CHUV, Lausanne, Switzerland, 6Pediatric cardiology department, CHUV, Lausanne, France |
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Keywords: Cardiomyopathy, Data Analysis, cardiac function Free-running 5D whole-heart imaging (5D CMR) has been proposed as a means of simplifying CMR exams by capturing the entire 3D cardiac anatomy without the need for ECG gating or breath-holds. We demonstrated that 5D CMR with ferumoxytol enhancement enables the evaluation of cardiac function in comparison to ECG gated 2D CINE images in congenital heart disease patients. In addition, it enables evaluation of the cardiac morphology with improved diagnostic quality in ~40% of the cases. This suggests that the free-running approach has the potential for replacing the conventional 2D imaging for evaluation of both cardiac function and morphology. |
| 0557 | 15:14
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Deep learning-based Motion-corrected Image Reconstruction for High-resolution Spiral First-pass Myocardial Perfusion Imaging |
| Marina Awad1, Junyu Wang2, and Michael Salerno2 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Cardiovascular Medicine, Stanford University, Stanford, CA, United States |
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Keywords: Heart, Perfusion Cardiovascular magnetic resonance (CMR) is susceptible to motion-induced artifacts from cardiac and respiratory motion, leading to poor image quality. The inter-frame motion artifacts make quantitative analysis for cardiac function evaluation difficult. Hence motion correction is an important pre-processing step before robust quantification of myocardial perfusion. We developed a deep learning-based framework for rapid and accurate motion correction of CMR perfusion imaging using a 2D U-Net that estimates the deformation field from a moving frame to a fixed frame. |
| 0558 | 15:22
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Fully ungated, free-breathing, 3D T2* mapping for imaging hemorrhagic Myocardial Infarction |
| Xingmin Guan1, Hsin-Jung Yang2, Jane Sykes3, Xinheng Zhang1, Richard Tang1, Anthony Christodoulou2, Behzad Sharif1, Debiao Li2, Frank S Prato3, and Rohan Dharmakumar1 | ||
1Indiana University School of Medicine, Indianapolis, IN, United States, 2Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Lawson Health Research Institute, London, ON, Canada |
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Keywords: Image Reconstruction, Cardiovascular, T2* T2* CMR is widely used for detecting hemorrhagic myocardial infarction (MI). However, the conventional T2* CMR (2D breath-held, ECG-gated, multi-gradient-echo T2*) can suffer from limited spatial resolution and motion artifacts. We have recently developed a time-efficient, fully ungated, free breathing, 3D T2* mapping approach using a low-rank tensor (LRT) framework to address the above issues. |
| 0559 | 13:30
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Alterations in intrinsic functional networks in squirrel monkey spinal cord after focal damage to primary motor cortex using resting state fMRI |
| Anirban Sengupta1, Pai-Feng Yang1, Jamie L Reed1, Arabinda Mishra1, Feng Wang1, Li Min Chen1, and John C Gore1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Spinal Cord, fMRI (resting state), Functional Connectivity The goal of this study was to detect and quantify how functional connectivity within networks in squirrel monkey spinal cord changes after a focal lesion of the primary motor cortex. We first used independent component analysis to identify 7 spatially independent functional hubs within each segment of the cervical spinal cord. The overall connectivity of these spinal cord networks increased after a lesion within M1, indicating plastic changes in spinal cord due to cortical injury. Distinct functional communities confined to neighboring spinal cord segments were identifiable one week after the injury, confirming spinal cord functional networks reorganized over that time. |
| 0560 | 13:38
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Diffusion Tensor Imaging and ActiveAx analysis of Post-Mortem Human Cervical Spinal Cord Injury |
| Nikolai I Lesack1,2,3, Sarah Rosemary Morris1,2,3, Taylor Swift-LaPointe2, Andrew Yung1,3,4, Valentin Prevost1,3,4, Shana George5, Andrew Bauman4, Piotr Kozlowski1,2,3,4, Farah Samadi1,5, Caron Fournier1,5, Lisa Parker6, Kevin Dong1, Femke Streijger1, Veronica Hirsch-Reinshagen1,5,6, G. R. Wayne Moore1,5,6, Brian Kwon1,7, and Cornelia Laule1,2,3,5 | ||
1International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 2Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Vancouver General Hospital, Vancouver, BC, Canada, 7Orthopaedics, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Spinal Cord, Diffusion/other diffusion imaging techniques, trauma, spinal cord injury, post-mortem, wallerian degeneration, axons, ActiveAx, DTI 7T Diffusion Tensor Imaging (DTI) and ActiveAx analysis techniques were used to probe the microstructural properties of post-mortem human spinal cord injury tissue. A decrease in DTI fractional anisotropy was observed caudal to (below) the injury epicenter for descending tracts and rostral to (above) the injury epicenter for ascending tracts. All cords displayed increased axon diameter in ascending tracts rostral to the injury site, which may be evidence of axonal swelling. A decrease in axon density for the two subjects with the longest injury-to-death interval may indicate the time scale of Wallerian degeneration-induced axonal damage observable using ActiveAx. |
| 0561 | 13:46
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Sliding-Window Dynamic Functional Connectivity Of Resting-State Spinal Cord fMRI Reveals Specific Interaction Patterns |
| Sukru Samet Dindar1, Ilaria Ricchi2,3, Nawal Kinany2,3, and Dimitri Van De Ville2,3 | ||
1Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 2Neuro-X Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland, 3Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland |
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Keywords: Spinal Cord, fMRI (resting state) In recent years, while the exploration of spontaneous brain activity has shifted from static methods (i.e., examining average connectivity patterns over the entire run) towards dynamic approaches (i.e., accounting for the non-stationarity of resting-state fluctuations), the non-stationary nature of intrinsic activity in the spinal cord has seldom been studied. Here, we propose to probe time-varying functional connectivity patterns in the spinal cord using a sliding-window correlation approach, as commonly employed in the brain. Our results suggest the potential of this approach to unravel ventral-ventral and dorsal-dorsal correlation patterns, while also emphasizing their time-varying nature. |
| 0562
|
13:54
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Spatial distribution of hand-grip motor task activity in spinal cord fMRI |
| Kimberly J. Hemmerling1, Mark A. Hoggarth1, Milap S. Sandhu2, Todd B. Parrish1, and Molly G. Bright1 | ||
1Northwestern University, Chicago, IL, United States, 2Shirley Ryan AbilityLab, Chicago, IL, United States |
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Keywords: Spinal Cord, fMRI A unilateral isometric hand-grip task was used to elicit motor neuron activation in spinal cord fMRI. As predicted, activation was lateralized to the ipsilateral hemicord. However, active voxels were also observed outside of the ventral horn and superior to C7. Reduced spatial precision and sensitivity in activation estimates, particularly along the cord axis, may be due to the combination of inter-individual differences in anatomy, imperfect registration to the standard spinal cord template, additional sensory activity associated with performing the task, and co-contraction of muscles not directly involved in hand-gripping. |
| 0563
|
14:02
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Intra- and inter-session reliability of lumbar spinal cord resting-state fMRI |
| Anna JE Combes1,2, Grace Sweeney1, Delaney Houston1, Logan Prock1, Lipika Narisetti1, Baxter P Rogers1,2, Colin D McKnight2, John C Gore1,2,3, Seth A Smith1,2,3, and Kristin P O'Grady1,2,3 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Spinal Cord, fMRI (resting state) We investigated the intra- and inter-session reliability of functional connectivity indices derived from resting-state fMRI in the lumbar spinal cord. Slicewise and average indices of connectivity for the ventral and dorsal networks were collected across three experiments in healthy participants at 3T. Intra-session reliability was high for back-to-back scans (ICC>0.9), and moderate-to-good when introducing repositioning, surveying and reshimming (COV=3-25%). Repeatability of indices across separate visits was low, although similar grey matter functional networks could be independently observed and showed high spatial overlap using ICA, a data-driven approach. This is the first evaluation of resting-state fMRI reliability in the lumbar cord. |
| 0564 | 14:10
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Neurodegeneration within upper spinal cord is associated with brain gray matter volume atrophy in early stage of cervical spondylotic myelopathy |
| Cuili Kuang1, Yunfei Zha1, and Weiyin Vivian Liu2 | ||
1Renmin Hospital of Wuhan University, Wuhan, China, 2GE Healthcare, MR Research, Beijing, China |
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Keywords: Spinal Cord, Neurodegeneration, Cervical Spondylotic Myelopathy, Spinal Cord Toolbox Associations between cross-sectional area and white matter area within the rostral spinal cord and gray matter volume in left supplementary motor area and right middle cingulate gyrus suggest a concordant change pattern and adaptive mechanisms for neuronal plasticity underlying remote neurodegeneration in early cervical spondylotic myelopathy. The atrophy of cross-sectional area within the upper spinal cord and gray matter volume loss in right postcentral gyrus can serve as potential neuroimaging biomarkers of early structural changes within spinal cord and brain preceding marked clinical disabilities in patients with cervical spondylotic myelopathy. |
| 0565 | 14:18
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Predictive Value of Diffusion Magnetic Resonance Imaging for the Postoperative Outcome of Cervical Spondylotic Myelopathy |
| Ming Ni1, Xiaoyi Wen2, Mengze Zhang1, Chenyu Jiang1, Yali Li1, Xianchang Zhang3, Ning Lang1, Qiang Zhao1, Yuqing Zhao1, Wen Chen1, Liang Jiang4, and Huishu Yuan1 | ||
1Department of Radiology, Peking University Third Hospital, BeiJing, China, 2Institute of Statistics and Big Data, Renmin University of China, BeiJing, China, 3MR Collaboration, Siemens Healthineers Ltd., BeiJing, China, 4Department of Orthopedics, Peking University Third Hospital, BeiJing, China |
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Keywords: Spinal Cord, Diffusion/other diffusion imaging techniques This study used multi-factorial linear quantile mixed-effects regression models to predict the outcome of cervical spondylotic myelopathy (CSM) patients one year after surgery based on MRI. Six models were constructed using the linear quantile mixed model and linear mixed-effects regression model based on the diffusion magnetic resonance imaging (dMRI) data, all the imaging data (dMRI & Conventional MRI), and all the registered data (dMRI & Conventional MRI & clinical data). We found that fractional anisotropy (FA) values quantified by preoperative dMRI could predict the surgical outcome of CSM and showed a significant positive correlation with the postoperative outcome. |
| 0566 | 14:26
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Automated cervical spinal cord atrophy detection from conventional 3D T1w brain MRI |
| Jonathan A. Disselhorst1,2,3, Michaela Andělová4, Veronica Ravano1,2,3, Gian Franco Piredda1,5,6, Tobias Kober1,2,3, Manuela Vaněčková7, and Bénédicte Maréchal1,2,3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 5Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland, 6CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 7Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic |
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Keywords: Spinal Cord, Segmentation, atrophy Detecting atrophy in the spinal cord (SC) is highly relevant in multiple sclerosis (MS) and other neuroinflammatory and neurodegenerative diseases. The most used method is measuring mean upper cervical cord area (MUCCA) from SC images. MRI of SC is time consuming and not always available. We recently developed a method to measure MUCCA directly from conventional T1w brain images. This work compares MUCCA estimates derived from MPRAGE and MP2RAGE sequences, determine reference ranges from 98 healthy subjects and show their value to detect atrophy in patients with progressive MS and neuromyelitis optica. We observe very high agreement between methods. |
| 0567 | 14:34
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Application of multi-shot EPI to mitigate image distortion in diffusion tensor imaging of the human lumbar spinal cord |
| Kristin P. O'Grady1,2,3, Caroline Seehorn1, Grace Sweeney1, Logan Prock1, Delaney Houston1, Anna J.E. Combes1, Kurt G. Schilling1,2, Colin D. McKnight2, Ryan K. Robison1,2,4, and Seth A. Smith1,2,3 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Philips, Nashville, TN, United States |
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Keywords: Spinal Cord, Diffusion Tensor Imaging The lumbar spinal cord is significantly understudied with quantitative MRI methods such as diffusion tensor imaging (DTI), in part due to challenges of spatial and temporally-varying field inhomogeneities that cause distortion in commonly used single-shot EPI sequences. In this pilot study, we implemented IRIS Zoom, a multi-shot, reduced field-of-view method that corrects for shot-to-shot variations, phase errors (2D navigation), and T2* dephasing. Multi-shot EPI was successfully acquired in healthy volunteers at 3T, led to reduced geometric distortions, and provided quantitative DTI values comparable to those derived from single-shot EPI. Multi-shot EPI is feasible for high-resolution DTI of the lumbar cord. |
| 0568 | 14:42
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Effects of MT-weighting, respiratory navigation, and biological variables on multi-echo gradient echo signal and contrast in the lumbar cord |
| Kristin P. O'Grady1,2,3, Kritin Vasamreddy1, Grace Sweeney1, Logan Prock1, Delaney Houston1, Anna J.E. Combes1, Trey McGonigle4, Simon Vandekar4, Margareta Clarke1, Atlee A. Witt1, Colin D. McKnight2, Erik Landman2, Ryan K. Robison1,2,5, Francesca Bagnato6, and Seth A. Smith1,2,3 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States, 5Philips, Nashville, TN, United States, 6Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Spinal Cord, Multiple Sclerosis, lumbar spinal cord Improvements are needed in advanced anatomical imaging of the lumbar spinal cord. We implemented a T2*-weighted multi-echo gradient echo (mFFE) sequence that enables visualization of CSF, gray and white matter with an in-plane resolution of 0.65x0.65mm2. Use of an MT-weighted pre-pulse and a respiratory navigator decreased SNR, but did not affect CNR, and qualitatively improved image quality and possibly multiple sclerosis lesion conspicuity. CNR/SNR were robust to biological factors known to affect signal quality (e.g. age, weight). The proposed sequence holds potential for improved visualization of anatomy, pathology, and morphometric measurements in the lumbar cord. |
| 0569 | 14:50
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AMU7T: a 3D qT1 and T2*w high-resolution in vivo template with refined white and gray matter parcellation dedicated to 7T spinal cord MR analyses |
| Arnaud Le Troter1,2, Nilser J. Laines Medina 1,2,3, Samira Mchinda1,2,3, Julien Cohen-Adad4, and Virginie Callot1,2,3 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, CHU Timone, Pôle d’Imagerie Médicale, CEMEREM, Marseille, France, 3iLab-Spine, International Associated Laboratory, Marseille-Montreal, France, 4NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada |
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Keywords: Spinal Cord, Software Tools Ultra-High-Field MRI has opened new perspectives for spinal cord exploration due to improved spatial resolution and contrast. The present work proposes a dedicated 7T multimodal 3D qT1 and T2*w template and a parcellation including eight substructures within gray matter, thirty WM tracts and three inter-hemispheric ROIs, for an accurate atlas-based segmentation in the subject space. This atlas was interpolated in the 3D PAM50 space to benefit from the advanced functions for registration implemented in the SCT. A preliminary segmentation result in healthy subject gives promising perspectives for group studies. |
| 0570 | 14:58
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Spinal cord MS lesion detection at 7T - Added value of MP2RAGE imaging and requirement for automatic lesion segmentation |
| Nilser LAINES MEDINA1,2,3, Benoit TESTUD1,2,4, Sarah DEMORTIERE5, Samira MCHINDA1,2,3, Arnaud LE TROTER1,2, and Virginie CALLOT1,2,3 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3iLab-Spine, International Associated Laboratory, Montreal, Canada, Marseille, France, France, 4APHM, Hôpital Universitaire Timone, Department of Neuroradiology, Marseille, France, 5APHM, Hôpital Universitaire Timone, Department of Neurology, Marseille, France |
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Keywords: Spinal Cord, Multiple Sclerosis In this exploratory study focusing on MP2RAGE and MS lesions, we demonstrated the added value of 7T imaging for lesion detection, with +20-to-30% of additional lesions seen compared to 3T. We also demonstrated that both currently available automatic segmentation model in SCT and an exploratory model build and trained based on MP2RAGE 3T images were not optimal for detecting lesions in 7T images (although a small contribution with slightly higher PPV was obtained with our model). As 7T opens great perspectives, further study should now focus on specific training and analysis tools to deal with 7T resolution and contrasts. |
| 0571 | 15:06
|
7T fMRI in the Cervical Spinal Cord Under Noxious Thermal Stimulation |
| Alan C Seifert1,2,3 and S Johanna Vannesjo4 | ||
1Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Physics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway |
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Keywords: Spinal Cord, Spinal Cord FMRI of the spinal cord is challenging due to its small size, necessitating high resolution. Increasing B0 to 7T enables higher spatial resolution, and also enhances BOLD signal. However, challenges related to B0 homogeneity complicate spinal cord fMRI at 7T. We present group-level stimulus task fMRI results in the spinal cord at 7T, and compare the performance of single-shot and multi-shot 2D EPI protocols. Single-shot at 0.75mm in-plane resolution was most sensitive to activation, while multi-shot at 0.60mm provided the best-localized clusters. The best choice of protocol depends on the importance of sensitivity versus spatial localization for a given experiment. |
| 0572 | 15:14
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Realizing sub-second and sub-millimeter spinal cord fMRI at 7 Tesla |
| D Rangaprakash1 and Robert L Barry1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States |
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Keywords: Spinal Cord, fMRI (resting state) Spinal cord fMRI is an emerging field with clinical potential. Sub-millimeter in-plane fMRI acquisitions are desirable and achievable, but published studies have had modest temporal resolutions (>2s). Using a custom-built 7T spine coil, we demonstrate sub-second and sub-millimeter cervical cord fMRI for the first time. Employing a 3D multi-shot sequence with appropriate phase corrections and NORDIC denoising, our data demonstrated temporal signal-to-noise ratios similar to those of standard supra-second protocols, and we replicated functional connectivity patterns previously published in the cord. This opens new avenues of discovery similar to those realized through high spatiotemporal resolution brain fMRI. |
| 0573 | 15:22
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Harmonization of Spinal Cord Diffusion Tensor Imaging Data from a Multi-Site, Multi-Scanner Study using Longitudinal ComBat |
| Devon M Middleton1, Yutong Li2, Andrew Chen3, Russell T Shinohara3, John H Woo3, Adam E Flanders1, Scott H Faro1, Laura Krisa2, and Feroze B Mohamed1 | ||
1Radiology, Thomas Jefferson University, Philadelphia, PA, United States, 2Thomas Jefferson University, Philadelphia, PA, United States, 3University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Spinal Cord, Diffusion Tensor Imaging This study uses longitudinal ComBat data harmonization on a multi-site/multi-scanner spinal cord DTI study with a traveling cohort imaged on four scanners. The results show considerable improvement in correlation between scanners as well as decerased coefficient of variation. This approach has potential benefits for large, multi-site spinal cord studies. |
| 0574 | Pitch: 13:30 Poster: 13:30 Screen 1
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7T MRI Reveals Abnormal Iron Deposition and Microstructure in Premanifest and Manifest Huntington’s Disease |
| Jingwen Yao1, Melanie A. Morrison1,2, Angela Jakary1, Sivakami Avadiappan1, Julia Glueck3, Theresa Driscoll3, Michael Geschwind3, Alexandra Nelson3, Duan Xu1,2, Christopher P. Hess1,3, and Janine M. Lupo1,2 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UCSF/UCB Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, United States, 3Department of Neurology, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Neurodegeneration, Neurodegeneration, Huntington's disease, Movement disorder We used QSM and DTI at 7T to investigate iron dysregulation and microstructure disruption in subcortical regions in Huntington’s disease (HD). We observed significant volume loss and increased iron deposition in the striatum and globus pallidus, and increased FA in the striatum. The deep cerebellar nuclei (dentate nuclei) showed a unique transient increase in volume and susceptibility in premanifest patients, implicating it as a new marker of HD disease progression that is sensitive to the pre-symptomatic window of HD. We also found varying relationships between imaging features in different brain regions, warranting further analyses of subregional changes. |
| 0575 | Pitch: 13:30 Poster: 13:30 Screen 2
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Diffusion MRI reveals rescue of structural changes in a mouse model of Huntington’s disease by mutant Huntingtin lowering |
| Joëlle van Rijswijk1,2, Nicholas Vidas-Guscic1,2, Johan Van Audekerke1,2, Tamara Vasilkovska1,2, Dorian Pustina3, Haiying Tang3, Roger Cachope3, Deanna M. Marchionini3, Ignacio Munoz-Sanjuan3, Annemie Van der Linden1,2, Mohit H Adhikari1,2, and Marleen Verhoye1,2 | ||
1Bio-Imaging Lab, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium, 2µNEURO Research Centre of Excellence, University of Antwerp, Antwerp, Belgium, 3CHDI Management/CHDI Foundation, Princeton, NJ, United States |
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Keywords: Neurodegeneration, Diffusion/other diffusion imaging techniques, Huntington's Disease Huntington’s disease (HD) is a neurodegenerative disorder for which no cure is available. There is an urgent need to find early biomarkers which are sensitive enough to determine and follow up the efficacy of novel therapies. In this study, we present the outcome of a treatment study in the LacQ140 HD mouse model using diffusion tensor/kurtosis imaging (DTI/DKI) and fixel-based analysis (FBA). We observed that early, moderate lowering of mutant Huntingtin (mHtt) rescues structural alterations measured in this mouse model with diffusion MRI in the olfactory bulb and striatum, which are prominent regions affected in HD. |
| 0576 | Pitch: 13:30 Poster: 13:30 Screen 3
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A longitudinal study of cerebral metabolite alteration in the developmental monkey brain with Huntington's disease |
| Chunxia Li1 and Xiaodong Zhang1 | ||
1Emory National Primate Research Center, Emory University, Atlanta, GA, United States |
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Keywords: Neurodegeneration, Spectroscopy, Huntington's disease Previous studies have demonstrated in vivo MRS could be an effective approach to assess the metabolite changes in Huntington Disease (HD) patients and models. However, its sensitivity to detect the metabolite abnormality is still in dispute. The metabolic changes in the striatum of transgenic monkeys of HD were investigated with MRS from 12 to 60 months of age here. A progressive and significant reduction of NAA/tCr and NAA/tCho in striatum was observed at 30 and 36 months and old, respectively, suggesting the sensitivity of the in vivo MRS to assess the neurochemical alteration in the evolution of the disease. |
| 0577 | Pitch: 13:30 Poster: 13:30 Screen 4
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Ultra-high spatial resolution for ex-vivo structural brain MRI |
| Alireza Abaei1, Stefano Antonucci2, Jelena Scekic-Zahirovic2, Florian olde Heuvel2, Francesco Roselli2, and Volker Rasche1 | ||
1Core Facility Small Animal Imaging (CF-SANI), University of Ulm, Ulm, Germany, 2German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany |
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Keywords: Neurodegeneration, Preclinical, ultra-high resolution neuro neuroimaging This study aims at demonstrating the feasibility of ex vivo MRI for structural imaging of brain. High spatial resolution in the range of 15-20 µm is obtained by an optimized FLASH sequence together with a cryogenically cooled RF coil. A 15µm-resolution was obtained for the brain, revealing cortical grey matter lamination, white matter and vascular architecture. As proof of concept, we showed in an Amyotrophic Lateral Sclerosis ( FUSΔNLS) mouse the pattern of atrophy as proxy of vulnerability using high degree of anatomical granularity. Overall, we demonstrate an ex-vivo MRI strategy with histology-grade resolution, comprehensive and non-destructive brain sampling. |
| 0578
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Pitch: 13:30 Poster: 13:30 Screen 5
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A Method for Detection of Subtle Blood-Brain Barrier Disruption using Non-Contrast MR Fingerprinting |
| Emma L Thomson1,2, Elizabeth Powell1, Claudia A M Gandini Wheeler-Kingshott3,4,5, and Geoff J M Parker1,6,7 | ||
1Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, London, United Kingdom, 3NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, London, United Kingdom, 4Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 5Brain Connectivity Centre Research Department, IRCCS Mondino Foundation, Pavia, Italy, 6NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, London, United Kingdom, 7Bioxydyn Limited, Manchester, United Kingdom |
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Keywords: Neurodegeneration, Blood vessels Using magnetic resonance fingerprinting (MRF), we propose a method for regional quantification of blood volume (νb) and BBB water exchange (by quantifying capillary water residence time, τb), as a metric of BBB function/dysfunction. A single axial slice was acquired for seven healthy volunteers using an MRF SPGR sequence. Matching to a precomputed dictionary was performed to simultaneously quantify intra and extravascular T1, B1+, νb, and τb. Initial findings in volunteers show that it is possible to quantify these five parameters simultaneously. Our results show promise for patient studies of blood-brain barrier disruption. |
| 0579 | Pitch: 13:30 Poster: 13:30 Screen 6
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Investigating application of multi-echo, multi-delay arterial spin labeling (ASL) to study endothelial exchange of water |
| Swati Rane Levendovszky1, Lena Vaclavu2, Jaqueline Flores1, Elaine Peskind3, Jeffrey Iliff3, and Matthias J.P. van Osch2 | ||
1Radiology, University of Washington School of Medicine, Seattle, WA, United States, 2C.J. Gorter MRI Center, Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Mental Illness Research, Education and Clinical Center, VA Puget Sound, Seattle, WA, United States |
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Keywords: Neurodegeneration, Perfusion, sleep, aging We applied multi-echo Hadamard encoded ASL imaging to study blood flow (CBF) and trans-endothelial exchange of water (Tex) as markers of vascular function to study two common risk factors of dementia; aging and sleep deprivation. We found that older adults had significantly lower CBF, and shorter Tex compared to young adults. In the same young adults, we compared CBF and Tex after a normal night of sleep and after sleep deprivation. Both CBF and Tex were insignificantly lower when measured after sleep deprivation compared to measurements after normal sleep. |
| 0580 | Pitch: 13:30 Poster: 13:30 Screen 7
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ASL spatial coefficient of variance predicts increased white matter hyperintensities volume over time in cognitively unimpaired subjects |
| Beatriz Padrela1, Lyduine E Collij1, Luigi Lorenzini1, Silvia Ingala1, Carole Sudre1, Pieter Jelle Visser2, Anouk den Braber2, Frederik Barkhof1,3, Jan Petr4, and Henk J.M.M. Mutsaerts1 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Location VUmc, Alzheimer Center, Amsterdam, Netherlands, 3University College London, Centre for Medical Image Computing (CMIC), London, United Kingdom, 4Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany |
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Keywords: Neurodegeneration, Perfusion, Cerebral blood flow, Dementia Arterial transit artifacts (ATAs) in arterial spin labeling (ASL) images are common in populations with prolonged arterial transit time (ATT) and may be associated with vascular insufficiency. The spatial coefficient of variance (sCoV) of ASL images can quantify the presence of these artifacts. Vascular insufficiency could contribute to the development of white matter hyperintensities (WMH), a common marker of cerebral small vessel disease. We demonstrated that baseline sCoV of CBF is associated with WMH at baseline and predicts WMH volume change, in a cognitively unimpaired population of 88 subjects. |
| 0581 | Pitch: 13:30 Poster: 13:30 Screen 8
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Region-specific characteristics of brain oxygen extraction fraction: relationships to aging and white matter hyperintensities |
| Jie Song1, Wen Shi2, Kaisha Hazel3, George Pottanat3, Ebony Jones3, Cuimei Xu3, Doris Lin3, Sevil Yasar4, Marilyn Albert5, Hanzhang Lu3, and Dengrong Jiang3 | ||
1Department of Biomedical Engineering, Johns Hopkins University School of Engineering, Baltimore, MD, United States, 2Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States, 5Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Neurodegeneration, Aging Aging is a multifaceted process involving both structural and metabolic alterations. Cerebral oxygen-extraction-fraction (OEF) is an important physiological parameter indexing the brain’s oxygen metabolism. In this work, we assessed regional OEF in young and older adults, and investigated its associations with aging and white-matter-hyperintensities. We observed significant age-related increase in cortical OEF but not in subcortical OEF, suggesting that aging may have different effects on tissue metabolism in cortical and subcortical regions. Furthermore, we found a significant inverse correlation of WMH with OEF in internal-cerebral-veins, implying that OEF of subcortical structures may be useful in predicting WMH. |
| 0582 | Pitch: 13:30 Poster: 13:30 Screen 9
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Chronic stress impacts energy metabolism and triggers motor neuropathy in an Optineurin knockout mouse model |
| Bedaballi Dey1,2, Dipak Roy1, Sumana Chakravarty2,3, Ghanshyman Swarup1, Arvind Kumar1,2, and Anant Bahadur Patel1,2 | ||
1CSIR-Centre for Cellular & Molecular Biology (CCMB), Hyderabad, India, 2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India, 3CSIR-Indian Institute of Chemical Technology (IICT), Hyderabad, India |
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Keywords: Neurodegeneration, Spectroscopy, Amyotrophic Lateral Sclerosis Amyotrophic Lateral Sclerosis (ALS) is the most common adult-onset progressive motor neurodegenerative disease. To study whether in vivo loss of the multifunctional adaptor protein Optineurin (OPTN) triggers ALS, a whole-body optineurin knock-out (Optn KO) mice was generated. In the absence of a clinical phenotype, we investigated the role of chronic stress as a potential ‘determinant’ of motor phenotype in Optn deficient background. Progressive motor impairment was observed after 30 days from chronic variable mild stress (CVMS) exposure in KO stressed mice. This occurs as a result of neurodegeneration and reactive gliosis associated with neuronal glucose hypometabolism and astroglial hypermetabolism. |
| 0583 | Pitch: 13:30 Poster: 13:30 Screen 10
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MRI detects macro- and microstructural changes to normal brain tissue following hemi-brain radiotherapy |
| Ben R Dickie1, Duncan Forster1, Abigail Bryce-Atkinson2,3, Izabelle Lövgren2,3, Azadeh Abravan4, Marcel van Herk2,3, and Kaye Williams5 | ||
1Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom, 2Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom, 3Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, United Kingdom, Manchester, United Kingdom, 4Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, UT, United Kingdom, 5Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom |
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Keywords: Neurodegeneration, Radiotherapy Approximately 50-90% of patients that survive treatment for brain tumours experience dementia-like cognitive impairments. Here we use MRI and behavioural testing to assess longitudinal changes to brain macro- and microstructure and cognitive dysfunction following hemi-brain radiotherapy. We show shrinkage of cortical and hippocampal regions in the irradiated hemisphere, and expansion of cortical tissue in the non-irradiated hemisphere relative to non-irradiated control mice. Brain microstructure was also changed including increases in gray matter diffusivity, and decreases in white matter fractional anisotropy. Changes on MRI were accompanied by early and persistent deficits in novel object recognition. |
| 0584 | Pitch: 13:30 Poster: 13:30 Screen 11
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Quantitative correlations of propagator metrics with phosphorylated tau and astrogliosis in chronic traumatic encephalopathy |
| Mihika Gangolli1,2,3, Sinisa Pajevic4,5, Elizabeth B. Hutchinson5,6, Joong Hee Kim1,2,7, Dan Benjamini1,8, and Peter J. Basser1,5 | ||
1Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States, 2The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States, 3Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 4Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States, 5Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, 6Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 7Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 8Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States |
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Keywords: Neurodegeneration, Diffusion/other diffusion imaging techniques Propagator metrics computed from high spatial resolution diffusion MRI data are correlated with histopathological assessments of phosphorylated tau (p-tau) and astrogliosis in tissue specimen with a diagnosis of Stage III/IV chronic traumatic encephalopathy (CTE). Region of interest based analysis showed significant correlations of p-tau with non-Gaussianity (NG) in deep cortical gray matter and of propagator anisotropy (PA) with astrogliosis in superficial cortical white matter. An unsupervised clustering approach with PA and NG as inputs is then used to segment MR data of tissue specimen into clusters to determine whether propagator metrics can be utilized to detect underlying pathology. |
| 0585 | Pitch: 13:30 Poster: 13:30 Screen 12
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Shared and differed functional connectivity abnormalities for default mode network in mild cognitive impairment and Alzheimer’s disease |
| Yaxuan Wang1, Fenghua Long1, Qiyong Gong1, Su Lui1, and Fei Li1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China., Chengdu, China |
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Keywords: Neurodegeneration, Brain Connectivity We performed a meta-analysis to investigate shared and different alterations of resting-state functional connectivity (rsFC) for default mode network (DMN) in mild cognitive impairment (MCI) and Alzheimer’s disease (AD). We found both patients with MCI and AD showed hypoconnectivity within DMN in bilateral medial prefrontal cortex (mPFC)/anterior cingulate cortex (ACC) and precuneus/posterior cingulate gyrus (PCC), indicating possibly shared neuropathologic mechanism underlying common cognitive dysfunction. Moreover, we identified distinct alterations of rsFC for DMN in some brain regions, which suggested potential imaging markers to distinguish the two diseases. |
| 0586 | Pitch: 13:30 Poster: 13:30 Screen 13
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Distinct patterns of microstructural changes in mouse models of ALS/FTD with mutations in Tardbp, Fus and C9orf72 |
| Aurea Martins Bach1, Cristiana Tisca1, Mohamed Tachrount1, Carmelo Milioto2,3, Mireia Carcolé2,3, Shoshana Spring4, Remya R. Nair5,6, Thomas J. Cunningham6,7, Elizabeth M. C. Fisher8, Adrian M. Isaacs2,3, Brian J. Nieman4, Jason Lerch1, and Karla Miller1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2UK Dementia Research Institute at UCL, Faculty of Brain Sciences, University College London, London, United Kingdom, 3Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 4Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada, 5Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom, 6Mammalian Genetics Unit, MRC Harwell Institute, Oxford, United Kingdom, 7MRC Prion Unit and Institute of Prion diseases, University College London, London, United Kingdom, 8Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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Keywords: Neurodegeneration, Preclinical Amyotrophic lateral sclerosis (ALS) and Frontotemporal dementia (FTD) form a disease spectrum with shared clinical, pathological and genetic features. The most common mutations in ALS/FTD are in the genes C9Orf72, TARDBP and FUS. We used post-mortem diffusion kurtosis imaging to assess microstructure imaging phenotypes in mouse models of ALS/FTD with mutations in these genes. While mice with mutation in Tardbp presented reduced FA and MO in various white matter tracts, no difference could be detected in mice with mutation in Fus, and increased MO in a portion of the corpus callosum was observed in mice with mutation in C9orf72. |
| 0587 | Pitch: 13:30 Poster: 13:30 Screen 14
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The interaction between first-episode schizophrenia and age based on gray matter volume and its molecular analysis: A multimodal MRI study |
| Jingli Chen1,2, Yarui Wei1,2, Kangkang Xue1,2, and Jingliang Cheng1,2 | ||
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Magnetic Resonance Imaging, Zhengzhou, China |
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Keywords: Neurodegeneration, Gray Matter, gray matter volume / early-onset schizophrenia / adult-onset schizophrenia /neurodevelopment / visual perception / visual cognitive We aimed to investigate the interaction characteristics of schizophrenia and onset age and its underlying molecular mechanisms by using T1-weighted high-resolution magnetic resonance imaging (3DT1) and the JuSpace toolbox. 150 first-episode drug-naïve schizophrenia and 119 matched normal controls were recruited and underwent 3DT1 scans. Our results show that the two main effects of factors and interaction effect in gray matter volume and their underlying molecular mechanisms have varying degrees of specificity changes. Particularly, the abnormality of the visual perception system and higher visual cognitive functions in early-onset schizophrenia (EOS) have guiding significance for the mechanism and treatment of EOS. |
| 0588 | Pitch: 13:30 Poster: 13:30 Screen 15
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S-EBM: generalising event-based modelling of disease progression for simultaneous events |
| Christopher Samuel Parker1, Neil P Oxtoby1, Daniel C Alexander1, and Hui Zhang1 | ||
1Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK, London, United Kingdom |
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Keywords: Neurodegeneration, Modelling, Disease progression S-EBM generalises the event-based model (EBM) of disease progression for simultaneous events. In synthetic data, S-EBM can tell the difference between simultaneous and non-simultaneous events under a range of experimental conditions. In comparison to conventional EBM, S-EBM avoids artificial serial orderings, permitting more accurate and parsimonious descriptions of disease progression. When applied to real Alzheimer’s disease biomarker data, S-EBM estimates a sequence containing neurologically plausible simultaneous events which more closely explain the data than conventional EBM. S-EBM may be applied to recover novel patterns of disease progression thereby informing our understanding of disease evolution. |
| 0589 | Pitch: 13:30 Poster: 13:30 Screen 16
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Multicompartment Imaging of the Brain Using a Comprehensive MR Imaging Protocol |
| James Lo1,2, Eric Y. Chang1,3, Jiang Du1,2,3, Graeme M Bydder1, and Yajun Ma1 | ||
1Department of Radiology, University of California San Diego, San Diego, CA, United States, 2Department of Bioengineering, University of California San Diego, San Diego, CA, United States, 3Radiology Service, Veteran Affairs San Diego Healthcare System, San Diego, CA, United States |
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Keywords: Neurodegeneration, Quantitative Imaging, Myelin In this study, we developed a comprehensive MR imaging protocol to quantify all the major components of the brain. This protocol includes four different kinds of sequences: a magnetization transfer prepared Cones (MT-Cones) for two-pool MT modeling, a short-TR adiabatic inversion-recovery prepared Cones (STAIR-Cones) for myelin water imaging, a proton-density weighted Cones (PDw-Cones) for total water imaging, and a highly T2 weighted Cones (T2w-Cones) for extracellular water imaging. Using a combination of these techniques, we successfully quantified the proton fractions of brain macromolecules, myelin water, intracellular water, and extracellular water components in three healthy volunteers with a 3T clinical scanner. |
| 0590 | Pitch: 13:30 Poster: 13:30 Screen 17
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WITHDRAWN |
| 0591 | Pitch: 13:30 Poster: 13:30 Screen 18
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Brain and cervical spinal cord myelination and age-related changes in adulthood: a preliminary study based on ihMTsat and T1 relaxometry mapping |
| Arash Forodighasemabadi1,2,3,4, Lucas Soustelle1,2, Olivier M. Girard1,2, Thomas Troalen5, Jean-Philippe Ranjeva1,2, Guillaume Duhamel1,2, and Virginie Callot1,2,4 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France, 3Aix-Marseille Univ, Université Gustave Eiffel, LBA, Marseille, France, 4iLab-Spine International Associated Laboratory, Montreal, Canada, Marseille, France, 5Siemens Healthcare SAS, Saint-Denis, France |
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Keywords: Neurodegeneration, Aging Inhomogeneous Magnetization Transfer (ihMT) has shown to be a biomarker of myelin with enhanced specificity as compared to conventional MT. To compensate for B1+ and T1 effects, a 3D ihMT-RAGE sequence with an ihMTsat framework has recently been proposed. In this study, ihMTsat was used in combination with an optimized MP2RAGE sequence to study both brain and spinal cord adulthood aging process. The ihMTsat and R1=1/T1 metrics followed an inverse U-shaped evolution with age in different ROIs, from which a maturation age was extracted. A multiparametric (R1,ihMTsat) voxel-wise analysis revealed significant age effect in the microstructure of different cord tracts. |
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Are fMRI findings on emotional aging affected by cerebrovascular aging? |
| Loretta Donaldson1, Parimal Joshi1, Lincoln Kartchner1, Sara Akar1, and Peiying Liu1 | ||
1Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, Baltimore, MD, United States |
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Keywords: Neurodegeneration, fMRI (task based) Age-related changes in emotional circuitry have been studied using BOLD fMRI and revealed age-related increases in the activation of the prefrontal cortex and inconsistent findings in the amygdala. Previous emotional aging studies did not account for vascular aging which causes a reduction in cerebrovascular reactivity (CVR). Using picture viewing task fMRI and gas inhalation MRI, the fMRI signals are calibrated by the vascular measures to improve the inference of neural activity. After accounting for vascular changes, age-invariant activity was seen in the amygdala, and increased age-related activation of prefrontal regions was observed compared to activation before vascular correction. |
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MR Imaging Deep Brain Stimulation of the Nucleus Basalis Meynert Restored Cognitive Function in Alzheimer’s Disease Model |
| Ching-Wen Chang1,2, Yi-Chen Lin1, Chiung-Yuan Ko3, Yu-Chun Lo3, Ting-Chieh Chen1, Ssu-Ju Li1, Mu-Hua Wang1, Tsai-Yu Cho1, Sheng-Huang Lin4,5, and You-Yin Chen1,3 | ||
1Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Biomedical Translation Research Center, Academia Sinica, Taipei, Taiwan, 3Ph.D. Program in Medical Neuroscience, Taipei Medical University, Taipei, Taiwan, 4Department of Neurology, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan, 5Department of Neurology, Tzu Chi University, Hualien, Taiwan |
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Keywords: Neurodegeneration, fMRI, Nucleus Basalis of Meynert Alzheimer’s disease (AD) is an intricate neurodegenerative disease. Nucleus Basalis of Meynert (NBM), a key region of the cholinergic system that provides acetylcholine to cortex, has been shown to be target for deep brain stimulation (DBS) in AD. The 5×FAD mouse model was used to investigate the change of behavioral tasks, resting-state functional MRI, and acetylcholinesterase (AChE) assay were applied in this study. We found that NBM-DBS may play an important role in modulating cognitive function and spatial working memory in 5×FAD mice. Increasing functional connectivity and decreasing AChE activity may be the biomarkers for AD individuals. |
| 0594 | Pitch: 13:30 Poster: 13:30 Screen 21
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Impact of Online Safety Screening on Outpatient MRI Workflow |
| Sheena Chu1,2, Elizabeth Briel2, John W Garrett2, Scott B Reeder1,2,3,4,5, and Ali Pirasteh1,2 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Safety, MR Value MRI safety screening is required for all patients prior to their MRI exam. We aim to determine the impact of online MRI safety screening on delays and post-arrival cancellations. Time-to-image is the time between when the patient is paged in the waiting area and their first image acquisition. Post-arrival cancellations occur when the patient arrives but does not complete their MRI due to an unexpected safety or other issues (e.g., claustrophobia). We conclude that post-arrival cancellations and overall time-to-image decreased as a result of online MRI safety screening. Keywords: Physics & Engineering: Safety, New Devices, MR Value |
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Pitch: 13:30 Poster: 13:30 Screen 22
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Comparison of measured and simulated cardiac magnetostimulation thresholds in eight pigs |
| Valerie Klein1,2,3, Livia Vendramini1, Mathias Davids1,2, Natalie G. Ferris1,4, Lothar R. Schad3, David E. Sosnovik1,2,4,5, Christopher T. Nguyen6,7,8, Lawrence L. Wald1,2,4, and Bastien Guérin1,2 | ||
1A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 5Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Charlestown, MA, United States, 6Cardiovascular Innovation Research Center, Heart Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, 7Cardiovascular Imaging, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 8Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Safety, Bioeffects & Magnetic Fields We use a combined electromagnetic-electrophysiological modeling framework to predict cardiac stimulation (CS) thresholds in individualized porcine body models and compare those simulations to thresholds measured in eight pigs using strong dB/dt pulses. For all pigs, the simulated and measured thresholds agree within 30%, and no significant differences between simulations and measurements were detected (p<0.05, paired t-test). The threshold model uncertainty was found to be ~25% in a sensitivity analysis of the relevant model parameters. A well-validated model may help inform appropriate safety limits for MRI gradients to protect patients from CS without overly restricting gradient performance. |
| 0596
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Pitch: 13:30 Poster: 13:30 Screen 23
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Vertical MRI systems may offer a safer platform with substantially reduced RF heating in adult and pediatric patients with CIEDs |
| Jasmine Vu1,2, Fuchang Jiang1, Bhumi Bhusal2, Pia Sanpitak2, Gregory Webster3, Giorgio Bonmassar4, and Laleh Golestanirad1,2 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Chicago, IL, United States, 3Cardiology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Athinoula A. Martinos Center for Biomedical Engineering, Charlestown, MA, United States |
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Keywords: Safety, Cardiovascular, Implants MRI is restricted for patients with cardiac implantable electronic devices (CIEDs)—especially children with epicardial systems—due to potential radiofrequency (RF) heating of the tissue around the lead. Here, we present the first assessment of RF heating of epicardial and endocardial CIEDs with varying lead lengths in a vertical MRI system, where we found up to a 78-fold reduction in the simulated maximum specific absorption rate (SAR) compared to a horizontal coil. Reduction in the maximum 0.1g-averaged SAR in the vertical coil was consistent for leads with various internal wire geometries and electrical lengths. |
| 0597 | Pitch: 13:30 Poster: 13:30 Screen 24
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Ultra-low-field Magnetization Transfer Imaging with Low SAR |
| Shi Su1,2, Yujiao Zhao1,2, Vick Lau1,2, Linfang Xiao1,2, Ye Ding1,2, Jiahao Hu1,2, Junhao Zhang1,2, Christopher Man1,2, Alex T. L. Leong1,2, and Ed X. Wu1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, the University of Hong Kong, Hong Kong, China, 2Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong, China |
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Keywords: Low-Field MRI, Contrast Mechanisms At high field, magnetization transfer (MT) imaging suffers from the high specific absorption ratio (SAR) issue due to the usage of high power off-resonance MT RF pulses, and on-resonance saturation caused by B0 field inhomogeneity. At ultra-low-field (ULF), the low SAR and low absolute B0 inhomogeneity (in Hz) greatly facilitates the application of strong and versatile MT pulses without the confounding on-resonance saturation in practice. We demonstrate brain MT imaging at ULF first the first time using a 0.055 Tesla MRI platform with an extremely low SAR. |
| 0598 | Pitch: 13:30 Poster: 13:30 Screen 25
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Simulated radiation patterns of MRI without a shielded room from 0.5 to 7 Tesla |
| Ehsan Kazemivalipour1,2, Bastien Guerin1,2, and Lawrence L. Wald1,2,3 | ||
1A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical school, Boston, MA, United States, 3Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States |
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Keywords: Safety, Safety Far-field electromagnetic radiation patterns and levels were simulated on the 10m radius regulatory sphere for conventional MRI scanners at 0.5T, 1.5T, 3T, and 7T operated without an RF shielded room. The levels and patterns were strongly affected by the symmetry of the load. With a body load, the peak E-fields on a 10m radius surface rose with roughly the square of the frequency and far exceeded regulatory limits even for 0.5T. With the body in the bore, the radiated patterns also take on a highly asymmetric pattern not present for more symmetric loads. |
| 0599 | Pitch: 13:30 Poster: 13:30 Screen 26
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Minimum Electric Field Gradient Array Body Coil with Adjustable Regions of Linearity |
| Reza Babaloo1,2, Manouchehr Takrimi2, and Ergin Atalar1,2 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey |
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Keywords: Safety, Safety A large region of linearity in whole-body gradient coils exposes large body areas to switching magnetic fields, inducing high electric fields, which may cause peripheral nerve stimulation. A body gradient array coil (made up of multiple coil elements) can produce linear gradients in different region of linearity shapes by optimizing the feeding currents, which can minimize the induced E-fields. |
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Impacts of bone on the worst-case configuration for orthopedic implants under 1.5T and 3T MRI |
| xiaolin Yang1, Jianfeng Zheng1, Ran Guo1, Wolfgang Kainz2, and Ji Chen1 | ||
1Univ of Houston, Houston, TX, United States, 2HPC for MRI Safety, Jasper, GA, United States |
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Keywords: Safety, Bone Due to the differences in both electrical and thermal properties, the RF-induced heating from implantable devices under MRI can have different behaviors inside muscle-like tissue and bone. A locally modified ASTM phantom with bone tissue was developed in the study. Simulations were used in the study to determine the worst-case heating configurations in the original and the modified ASTM phantoms. Based on our study, it was observed that the worst-case heating configuration can be altered when the devices are implanted in/near bone tissues. Consequently, additional in-vivo modeling would be required to understand the clinically relevant RF-induced heating. |
| 0601 | Pitch: 13:30 Poster: 13:30 Screen 28
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A method to assess the orientation of the maximum heating of an arbitrarily shaped object inside a homogeneous magnetic field |
| Umberto Zanovello1, Mario Chiampi1, Oriano Bottauscio1, Alessandro Arduino1, and Luca Zilberti1 | ||
1Istituto Nazionale di Ricerca Metrologica, Torino, Italy |
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Keywords: Safety, Gradients The ISO/TS 10974 standard proposes a test method to assess the heating of a metallic AIMD due to switched gradient magnetic fields. Aiming at achieving a conservative evaluation, the standard suggests to evaluate the heating for the worst orientation of the AIMD inside a homogeneous harmonic magnetic field. The abstract presents a strategy to assess this orientation for an arbitrarily shaped metallic object. The strategy has been successfully tested numerically against expectations with a disk object and it has been applied to a realistic hip and knee implant. |
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Simulated and experimental approaches to perfusion cooling in Sim4Life: verification and applications to RF heating of implants |
| Amgad Louka1, Blaine Chronik1,2, and William Handler2 | ||
1Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Physics & Astronomy, University of Western Ontario, London, ON, Canada |
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Keywords: Safety, Safety, RF heating, perfusion, Experimental, verification Perfusion cooling of implants is an emergent field that has the potential to greatly improve patient access to MRI for those living with implants that previously failed the radiofrequency heating test (ASTM F2182). Many implants fail by a small margin, meaning they would likely be safe inside the body when perfusion is considered. Here, we present initial steps for the experimental verification of perfusion simulations in Sim4Life, which showed reasonable agreement and provided some insight on future experimental perfusion platforms. From there, a perfusion cooling factor can be quantified for use during regulatory approval of these implants. |
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Lead Insulation and Wavelength Effects on Active Implantable Medical Device Heating under MRI at 1.5T and 3T using Transfer Function (TF) Modeling |
| Ananda Kumar1, Ji Chen2, Md Zahidul Islam2, and Hongbae Jeong1 | ||
1CDRH, Food and Drug Administration, Silver Spring, MD, United States, 2Department of Electrical and Computer Engineering, University of Houston, Houston, TX, United States |
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Keywords: Safety, Safety The influence of the thickness, loss tangent value of the lead insulation material along with lead length effects on the heating of an active implantable medical device (AIMD) lead electrode is analyzed using full-wave EM simulations. Decreasing the thickness of the insulation decreases heating of the electrode significantly when lead lengths are less than or equal to wavelengths in the medium. Increasing the loss tangent of the insulation material has a moderate effect in reducing heating at the electrode. Standing wave distortions affect lead electrode heating at lead lengths greater than wavelengths in the medium. |
| 0604
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Pitch: 13:30 Poster: 13:30 Screen 31
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An Implant-Friendly Coil System for Imaging Deep Brain Stimulation at 3T MRI |
| Nicolas Kutscha1, Bhumi Bhusal2, Mirsad Mahmutovic1, Chaimaa Chemlali1, Jasmine Vu2, Sam-Luca Hansen1, Laleh Golestanirad2, and Boris Keil1 | ||
1Institute of Medical Physics and Radiation Protection, TH Mittelhessen University of Applied Sciences, Giessen, Germany, 2Department of Radiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States |
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Keywords: Safety, Safety A prototype of an adjustable DBS-friendly Tx/Rx 3T coil system was built and evaluated with measurements and numerical simulations characterizing its image quality and SAR profile. The work envisions the use of novel MRI hardware that will make 3T MRI fully accessible to patients with DBS implants. |
| 0605 | Pitch: 13:30 Poster: 13:30 Screen 32
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Surgical modification of deep brain stimulation lead trajectories reduces RF heating during 3 T MRI: From phantoms to implementation in patients |
| Jasmine Vu1,2, Bhumi Bhusal2, Joshua Rosenow3, and Laleh Golestanirad1,2 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Chicago, IL, United States, 3Neurosurgery, Northwestern University, Chicago, IL, United States |
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Keywords: Safety, Brain, Translational studies MRI at 3 T is restricted for patients with deep brain stimulation (DBS) systems due to potential radiofrequency (RF) heating. Here, we present the first large-scale, systematic study to determine how trajectory-related parameters affect RF heating and quantify the extent of RF heating reduction. Introducing concentric loops close to the surgical burr hole substantially reduced RF heating. Increasing the number of loops correlated well with decreased heating. Recommendations based on the results from phantom experiments were easily adopted during the surgical procedure within 30 seconds. Subsequent replication of the trajectories based on postoperative computed tomography images confirmed low RF heating. |
| 0606 | Pitch: 13:30 Poster: 13:30 Screen 33
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Temperature Prediction for Bilateral Deep Brain Stimulation Electrodes Undergoing MRI |
| Nur Izzati Huda Zulkarnain1, Alireza Sadeghi-Tarakameh1, Jeromy Thotland1, Noam Harel1, and Yigitcan Eryaman1 | ||
1Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States |
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Keywords: Safety, Neuro We utilized a previously proposed workflow to predict heating around the contacts of bilateral deep brain stimulation (DBS) electrodes undergoing MRI. Phantom experiments demonstrated a quantitative agreement with the simulated and experimentally measured temperature for different electrode trajectories and excitations. |
| 0607 | Pitch: 13:30 Poster: 13:30 Screen 34
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Assessment of MRI-related heating with excess deep brain stimulation extension wires at 3 tesla |
| Anupa Vijayakumari1, Mark Lowe1, Benjamin Walter1, Joseph Sakai2, Jody Tanabe2, Richard Wojcik3, and Pallab Bhattacharyya1 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States, 2University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 3University of Colorado Denver, Denver, CO, United States |
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Keywords: Safety, Safety When implanting a DBS system, the excess amount of extension wires is looped and placed in different regions (near the skull burr holes or in the chest), depending on the neurosurgeon/institution. In this study, we tested three different DBS configurations with excess extension wires looped behind the IPG. A phantom with a DBS device (lead model B33005, IPG Percept B35200, and Extension wire model B34000) was used to perform this study. We observed that the temperature rise was higher with one loop placed behind the IPG compared to two or no loops. |
| 0608 | Pitch: 13:30 Poster: 13:30 Screen 35
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A geometrical approach to rapidly evaluate and optimize pTx transmission vectors for imaging and RF safety of implants |
| Berk Silemek1, Frank Seifert1, Bernd Ittermann1, and Lukas Winter1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany |
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Keywords: Safety, Safety, Implant safety, RF safety, implants, Deep brain stimulator A simple geometrical approach is presented to rapidly calculate safe pTx excitation vectors for implants, while further optimizing imaging performance. The proposed approach does not require any additional imaging protocols to be performed and pTx vector optimizations can be calculated solely e.g. based on low-cost sensors embedded in implants. The methodology was tested on a custom-built sensor-equipped wireless implant in 3T MRI experiments and realistic DBS lead configurations. |
| 0609 | Pitch: 13:30 Poster: 13:30 Screen 36
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RF coil safety validation with a 3D SAR measurement setup |
| Nur Izzati Huda Zulkarnain1, Mert Ates2, Grace Cole3, Alireza Sadeghi-Tarakameh1, Steve Jungst1, Lance DelaBarre1, Gregor Adriany1, and Yigitcan Eryaman1 | ||
1Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States, 2Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 3Bethel University, St Paul, MN, United States |
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Keywords: Safety, Validation We implemented a framework to validate the RF safety of MRI coils experimentally using a phantom in our RF safety lab which supports coil excitation using up to 16 individually-controlled power amplifiers. A 3D measurement setup and a dosimetric probe were used to map the spatial distribution of the specific absorption rate (SAR). To demonstrate the accuracy of the framework, we compared the simulated and measured 10 g averaged SAR of a rectangular loop element and an 8-channel transmit/receive head coil. We obtained quantitative agreements with 7.8% and 11.6% root-mean-squared error for the loop element and head coil respectively. |
| 0610 | Pitch: 13:30 Poster: 13:30 Screen 37
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Tuning and validation of an image registration procedure for patient-specific SAR simulation |
| Eros Montin1,2, Giuseppe Carluccio1, Christopher M Collins1, and Riccardo Lattanzi1,2,3 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R) Department of Radiology, Radiology Department, New York University Grossman School of Medicine, New York, New York, USA, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA, New York, NY, United States, 3Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, New York, USA, New York, NY, United States |
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Keywords: Safety, Whole Body In this article, we build an automatic pipeline for patient-specific assessment of SAR. Given a target MR image and an atlas comprising a reference image and a model, an MR-shaped model can be obtained by registering the AIM with the target MR and applying the resulting displacement fields to the corresponding ABM. The results of the analysis on simulated data showed that the proposed automatic pipeline was reliable and accurate both in terms of SAR distribution and the similarity of the patient-specific models. |
| 0611 | Pitch: 13:30 Poster: 13:30 Screen 38
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7 Tesla MRI of the knee joint after anterior cruciate ligament graft reconstruction: safety discussion and image quality study |
| Oliver Kraff1, Jens M Theysohn2, Jana Theisejans3, and Harald H Quick1,4 | ||
1Erwin L Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, 2Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany, 3General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University Duisburg-Essen, Duisburg, Germany, 4High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany |
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Keywords: Safety, Artifacts This study presents the MR safety discussion for imaging subjects with metallic fixation buttons after reconstruction of the anterior cruciate ligament, which have not been labeled MR conditional at 7T by the implant vendor. In addition, image quality and artifacts are evaluated in a knee imaging protocol consisting of both gradient- and spin echo sequences. Two imaging cases are presented: one with 7T imaging before and after surgery, and another case with comparative imaging between 1.5T and 7T. Artifact sizes from metallic fixation buttons at the femur did not impair the image quality and diagnostic evaluation of the knee joint. |
| 0612 | Pitch: 13:30 Poster: 13:30 Screen 39
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MR thermometry of RF heating in the human brain at 7T using the harmonical initialized multi-echo model with SVD-based motion correction |
| Mathijs W.I. Kikken1, Bart R. Steensma1, Cornelis A.T. van den Berg1, and Alexander J.E. Raaijmakers1,2 | ||
1Center for Image Sciences - Computational Imaging Group, UMC Utrecht, Utrecht, Netherlands, 2Biomedical Engineering - Medical Imaging Analysis, Eindhoven University of Technology, Eindhoven, Netherlands |
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Keywords: Safety, Safety A multi-echo signal model was presented to measure RF-induced temperature rise in the brain at 7T. The proposed method corrects drift fields based on near-harmonic 2D reconstruction and is complemented by an SVD-based motion-correction scheme. The method was tested in 2 volunteers, showing a maximum temperature increase of 0.25 °C with a precision of 0.12 °C. The reliability of the results was strengthened by measurements in which a heating pad was placed on the forehead of one volunteer. This measurement and thermal simulations indicated that the heatpad induced considerably more heating in the brain (3.5 °C) than SAR-constrained RF exposure. |
| 0613 | Pitch: 13:30 Poster: 13:30 Screen 40
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All-inclusive Safety Models Limit Imaging Performance at 7T |
| Emre Kopanoglu1 | ||
1CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom |
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Keywords: Safety, High-Field MRI, RF Pulse Design & Fields; Parallel Transmit & Multiband Safety models on scanners are patient-position unaware and may include multiple patient positions to ensure safety. This may lead to overestimation of the specific absorption rate (SAR) and limit scanning performance. This study investigates the effect of an all-inclusive safety model on SAR estimation for parallel-transmit and quadrature-excitation at 7T. Results show that more than 4-fold SAR overestimation can be commonly observed. RF shimming suffered the most, with 11-fold overestimation at the worst-case and more than 4-fold overestimation in 37% of cases. RF shimming also offered the lowest peak local SAR and may be unnecessarily penalized by overconservative safety models. |
15:45
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How Are MRI & PET/MRI Used in the Diagnosis & Management of Medium & Large Vessel Vasculitis? | |
| Thorsten Bley1 | ||
1University of Wurzburg, Germany |
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Keywords: Cardiovascular: Vascular, Cross-organ: Inflammation Next to CCDS, MRI and PET are recommended imaging modalities in large vessel vasculitides. With an in-plane spatial resolution of 200x250µm2 MRI displays mural inflammatory changes (circumferential thickening, contrast enhancement) of the superficial temporal arteries in giant cell arteritis. Combined with a first pass angiography of the thoracic aorta and its branch vessels the inflammatory disease burden and vascular damage (dilatation, stenosis) can be assessed within one examination. PET is considered the most sensitive imaging modality for assessing large vessel vasculitis. Combining sensitivity of PET with anatomic information of MRI in one hybrid scan offers promising perspectives for vasculitis imaging. |
16:15
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New Techniques for Quantitative Assessment of Vessel Wall Inflammation | |
| Chun Yuan1 | ||
1University of Utah, United States |
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Keywords: Image acquisition: Quantification, Cardiovascular: Atherosclerosis, Cross-organ: Inflammation Inflammation's role in vascular disease development necessitates its detection and quantification for diagnosis and risk assessment. MRI contrast agents have aided in identifying vessel wall inflammation, from atherosclerosis to vasculitis. Challenges persist in quantitatively assessing inflammation due to vascular bed differences, spatial resolution, acquisition limitations, and contrast agent properties. Recent technical advancements address these challenges, such as linking dynamic contrast enhancement to plaque inflammation, improved DCE analysis, diverse contrast media applications, and image analysis tools integrating anatomical and vascular inflammation assessments. These advancements hold clinical significance and promise for future progress in managing vascular disease. |
16:45
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Role of Cardiac MR in Assessment of Myocardial Inflammation | |
| Kate Hanneman1 | ||
1University of Toronto, Canada |
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Keywords: Cardiovascular: Cardiac Role of cardiac MRI in inflammation |
17:15
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New Techniques for Quantitative Assessment of Myocardial Inflammation | |
| Claudia Prieto1 | ||
1King's College London, United Kingdom |
15:45
|
Metabolic Reprogramming and Cancer Progression | |
| Brandon Faubert1 | ||
1University of Chicago, Chicago, IL, United States |
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Keywords: Cross-organ: Cancer Metabolic reprogramming is a hallmark of cancer that supports malignant growth and transformation. Tumor metabolism is influenced by both cancer cell intrinsic and extrinsic factors, necessitating the need to assess cancer cell metabolism in disease-relevant environments. Here, we discuss the use of stable isotope tracing to investigate tumor metabolism in both patients and preclinical models. |
16:15
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Measuring the Metabolomic Signature of Cancer | |
| Marie-France Penet1 | ||
1Johns Hopkins School of Medicine, United States |
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Keywords: Cross-organ: Cancer, Contrast mechanisms: Spectroscopy Ex vivo MRS of cancer cells, xenografts, human cancer tissue, and biofluids is a rapidly expanding field that is providing unique insights into cancer metabolism. The field has been evolving as a stand-alone technology, as well as a complement to in vivo MRS to characterize not only the metabolome of cancer cells, but also of cancer-associated stromal cells, immune cells, tumors, and biofluids. The presentation will provide an overview of the insights into cancer obtained with ex vivo MRS and of future directions. High resolution MRS studies of cells, tumors and biofluids will be discussed, in preclinical and clinical settings. |
16:45
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In-Vivo Spectroscopy | |
| Risto Kauppinen1 | ||
1University of Bristol, Bristol, United Kingdom |
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Keywords: Cross-organ: Cancer High field 3T MRI systems are now clinical routine in cancer management offering SNR and spectral resolution for in vivo 1H MRS. To obtain high-quality metabolite profiles from tumours in situ and to widen the profiles for cancer genetic markers, spectral localisation, acquisition, processing and peak assignments must be optimised and harmonised for 3T MRS. Metabolite profiles obtained by state-of-the art 1H MRS have proven to aid in pre-surgical grading of adult and paediatric brain, prostate and breast tumours. The lecture will focus on technical aspects of 1H MRS for clinical tumour evaluations. |
17:15
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Multinuclear Metabolic MR Imaging | |
| Tanja Platt1 | ||
1German Cancer Research Center, Germany |
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Keywords: Contrast mechanisms: Non-proton, Contrast mechanisms: Molecular imaging, Cross-organ: Cancer Physiologically relevant nuclei that enable MR applications ('X-nuclei') in tumor imaging in addition to hydrogen (1H) will be presented and the special MR characteristics of these nuclei will be explained. Multinuclear MRI applications offer a wide variety of applications in science and translational research. Here, an overview of clinical research applications in tumor imaging will be given. |
15:45
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Quantitative MRI Profiles Across Cortical Layers in Premanifest Huntington’s Disease Using 7T MRI at 600uM Resolution | |
| Mitsuko Nakajima | ||
| University College London | ||
16:10
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Laminar/Columnar fMRI Alterations in Focal Hand Dystonia Patients | |
| Silvina Horovitz | ||
| National Institutes of Health | ||
16:35
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Diffusion MRI of the Cortical Layers & Their Connections | |
| Yaniv Assaf | ||
| Tel Aviv University | ||
17:00
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Imaging Cortical Pathology in Multiple Sclerosis Using UHF Quantitative MRI | |
| Celine Louapre | ||
| ICM, Pitie Salpetriere Hospital | ||
15:45
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Data Acquisition & Analysis Basics for Laminar fMRI | |
| Renzo Huber1 | ||
1Maastricht University, Maastricht, Netherlands |
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Keywords: Contrast mechanisms: fMRI, Neuro: Brain function, Image acquisition: Sequences Layer-fMRI is a technique that uses functional magnetic resonance imaging (fMRI) to measure activity in specific layers of the cortex. This is done by acquiring high-resolution data and dividing cortical voxels into thin groups of different cortical depth. Layer-fMRI can be used to study the directional information flow between brain areas and see how different parts of the cortex work together to perform different tasks. However, layer-fMRI is still a relatively new method and there are some technical challenges for data acquisition and analysis. In this presentation, I will give an overview of common layer-fMRI acquisition and analysis approaches. |
16:05
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Physiological Basis of the Laminar fMRI Signal | |
| Seong-Gi Kim1 | ||
1Institute for Basic Science and Sungkyunkwan University, Korea, Republic of |
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Keywords: Contrast mechanisms: fMRI, Neuro: Brain function, Neuro: Brain connectivity Laminar fMRI has been increasingly used for determining feedforward and feedback inputs to the cortex. To properly design and interpret laminar-resolution fMRI experiments, it is critical to examine biophysical and physiological sources of hemodynamic and fMRI signals. In this education talk, we will discuss 1) laminar fMRI contrasts such as GE-BOLD, SE-BOLD, CBV and CBF, 2) up-to-dated depth-dependent neurophysiological findings, and 3) relationships between laminar-specific electrophysiology and hemodynamic responses. |
| 0614 | 16:25
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Simultaneous BOLD fMRI and two-photon microscopic imaging on mice brain at 16.4T |
| Guangle Zhang1, Wei Zhu1, Zongyue Cheng2, Chenmao Wang2, Kamil Ugurbil1, Xiao-Hong Zhu1, Meng Cui2, and Wei Chen1 | ||
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, MN, USA, Minneapolis, MN, United States, 2School of Electrical and Computer Engineering, Department of Biological Sciences, Purdue University, West Lafayette, USA, West Lafayette, IN, United States |
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Keywords: Multimodal, fMRI (resting state), two-photon microscopy (TPM); simultaneous fMRI and TPM While BOLD-based fMRI can non-invasively map whole brain activation and connectivity in humans and animals, the BOLD signal provides only an indirect measure of neural activity, and its cellular and neurophysiological origins remain not fully understood. We have developed a multi-scale neuroimaging modality allowing simultaneous fMRI and two-photon microscopic imaging (TPMI) on mice brains at UHF (16.4T). With the virus injection of GCaMP6s into the mouse brain, for the first time, we have successfully obtained functional MR images of the mouse brain and the neuronal calcium signals at layer II-III of the right S1 cortex simultaneously at resting state. |
| 0615 | 16:33
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Layer dependent changes of neural activity underlying laminar fMRI |
| Daniel Zaldivar1, Yvette Bohraus2, Nikos Logothetis2,3,4, and Jozien Goense5,6,7 | ||
1LN, National Institute of Mental Health, Bethesda, MD, United States, 2Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 3University of Manchester, Manchester, United Kingdom, 4International Center for Primate Brain Research, Shanghai, China, 5Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States, 6Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 7Beckman Institute for Advanced Science and Technology, Urbana, IL, United States |
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Keywords: Brain Connectivity, fMRI, Laminar fMRI and neurophysiology How accurately fMRI reflects the underlying laminar differences in neural processing? In the current study we investigated the relationship between neural activity and fMRI signals across different cortical layers. We found layer and frequency dependent differences in neural activity during the presentation of visual stimulus that elicits positive and negative BOLD response. |
| 0616 | 16:41
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Investigating the origin of negative BOLD responses using laminar CBF, CBV, T2 BOLD and CMRO2 fMRI in human visual cortex at 7T |
| Xingfeng Shao1, Jung Hwan Kim2, David Ress2, Chenyang Zhao1, Qinyang Shou1, Kay Jann1, and Danny JJ Wang1 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Neuroscience, Baylor College of Medicine, Waco, TX, United States |
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Keywords: fMRI (task based), High-Field MRI, multi-contrast, ASL, VASO, T2 BOLD, CMRO2 We proposed a 7T laminar concurrent ASL, VASO and BOLD fMRI sequence to obtain quantitative CBF, CBV, T2-BOLD and CMRO2 measurements with high resolution and specificity to detect layer-dependent vascular and metabolic activities. Ipsilateral visual stimuli (eccentricity of 4°–6°) induced ring-shaped BOLD and CBF signal increase on cortical surface corresponding to the pattern of visual stimulus while decreased BOLD/CBF signals can be seen in adjacent fovea regions. In negative BOLD response (NBR) regions, moderate decrease in T2-BOLD and CBV signals and strong CBF and CMRO2 decreases especially in deep cortical layers were observed, suggesting suppressed neuronal activities in NBR regions. |
| 0617
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16:49
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Characterisation of laminar spatiotemporal dynamics of CBV and BOLD signals using fast sampling at 7T fMRI in humans |
| Sebastian Dresbach1,2, Renzo Huber1,3, Omer Faruk Gulban1,4, Alessandra Pizzuti1,4, Robert Trampel2, Dimo Ivanov1, Rainer Goebel1,4, and Nikolaus Weiskopf2,5 | ||
1Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Neurophysics, Max-Planck-Institut for Human Cognitive and Brain Science, Leipzig, Germany, 3National institute of Health, Bethesda, DC, United States, 4Brain Innovation B.V., Maastricht, Netherlands, 5Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany |
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Keywords: fMRI, Neuroscience Characterisation of cortical laminar activity requires detailed knowledge of the spatiotemporal haemodynamic response across vascular compartments. Additionally, laminar models of the BOLD-response are dependent on CBF and CBV responses to neural activity. Therefore, we characterised the depth-dependent CBV- and BOLD-haemodynamic responses across varying stimulus durations with 0.9mm spatial, 0.785s effective temporal resolution. Furthermore, we obtained fine-scale vascular details using ME-GRE data at 0.35mm to investigate signal contributions from different vascular compartments. Our results contribute to the understanding of the laminar VASO response, provide guidance for neuroscientific applications, and support modelling of the laminar haemodynamic responses in humans. |
| 0618 | 16:57
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Detecting high temporal laminar-specific responses with line-scanning fMRI in awake mice |
| Sangcheon Choi1, Zeping Xie1,2, Xiaochen Liu1, Bei Zang1, David Hike1, Andy Liu1,3, and Xin Yu1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States, 2School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China, 3Department of Neuroscience, Boston University, Boston, MA, United States |
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Keywords: fMRI (task based), fMRI The 2D line-scanning fMRI has been used to map laminar BOLD onset and single-vessel vasodynamic changes. Lately, this method has been applied to map ultra-fast T2*-weighted MRI signal changes, directly coupled to the multi-unit activity in anesthetized mice with 5ms TR. Here, we have adjusted the 1D line-scanning fMRI method to test it for awake mice. The current setup enables the detection of evoked BOLD fMRI signals in the visual cortex following 4s (3 Hz, 20ms) light exposure. It provides the proof-of-concept to further examine the ultra-fast MRI signals directly linked to neuronal activity. |
| 0619 | 17:05
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Optimized signal saturation for fast functional line-scanning of cortical layers |
| Nils Nothnagel1, Tyler Morgan2, Alison Symon1, Lars Muckli1, and Jozien Goense3,4,5 | ||
1School of Psychology & Neuroscience, University of Glasgow, Glasgow, United Kingdom, 2NIH, Bethesda, MD, United States, 3Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 4Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States, 5Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: fMRI, High-Field MRI, High Resolution fMRI Layer-dependent fMRI is typically performed at sampling rates below 1 Hz and voxel sizes of 0.7-0.9 mm3 containing signal from multiple anatomical layers. Line-scanning can enhance spatial resolution to 0.2-0.4 mm while maintaining sub-second TR. It is therefore an ideal method to study temporal evolution of BOLD responses across cortical layers. However, current saturation schemes for human line-scanning suffer from broad saturation profiles that lead to signal contamination of BOLD responses from adjacent areas. We implemented line-scanning in humans with sharp line-profiles of 3 mm. Using this method, we show that cortical layers of M1 have unique BOLD time courses. |
| 0620 | 17:13
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Whole brain Layer-fMRI on the NexGen 7T scanner with high performance gradients and 64-channel receiver array. |
| Alexander JS Beckett1,2, Renzo Huber3, Samantha J Ma4, Suvi Häkkinen1, Shajan Gunamony5,6, and David A Feinberg1,2 | ||
1Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 4Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 5MR CoilTech Limited, Glasgow, United Kingdom, 6Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom |
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Keywords: fMRI, Data Acquisition Laminar-resolved fMRI has the potential to capture directional information flow within and between cortical areas to inform network neuroscience. However, common layer-fMRI imaging protocols are constrained by:
In this abstract, we use the NexGen 7T scanner to develop a whole-brain functional imaging protocol at 0.6mm resolutions. The aim was to identify and mitigate challenges in protocol optimization of 3D-EPI VASO:
We show whole-brain 0.64mm CBV-based connectivity maps covering the entire neocortex. |
| 0621 | 17:21
|
Layer-specific functional connectivity with 3D VAPER fMRI |
| Yuhui Chai1, A. Tyler Morgan2, Hua Xie3, Linqing Li4, Laurentius Huber4, Peter A. Bandettini2,4, and Bradley P. Sutton1 | ||
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Section on Functional Imaging Methods, NIMH, NIH, Bethesda, MD, United States, 3Children's National Hospital, Washington DC, DC, United States, 4Functional MRI Core, NIMH, NIH, Bethesda, MD, United States |
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Keywords: Brain Connectivity, fMRI, fMRI connectivity We introduced a whole-brain 3D VAPER sequence tool and analysis approach for layer-specific resting state fMRI. It allows investigation of the directional connectivity between brain areas and determine whether any given connection is better described as predominantly feedforward vs. feedback driven. To exemplify this, we demonstrated that different directions of the same connection within the default mode network (mPFC <-> PCC/Parietal region) lead to different laminar correlation profile, suggesting different projection types (feedforward/feedback). |
| 0622 | 17:29
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Depth Dependent Signal from Human Ocular Dominance Columns with VASO fMRI at 7T |
| Atena Akbari1,2, Joseph S. Gati1, Peter Zeman1, Brett Liem1,2, and Ravi S. Menon1,2 | ||
1Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, ON, Canada, 2Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada |
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Keywords: fMRI (task based), High-Field MRI, VASO, laminar fMRI In this study, we measured the monocular and binocular responses of ocular dominance columns across cortical depths in human V1 using vascular-space-occupancy (VASO) fMRI at 7T. BOLD and VASO images were acquired from five participants using the DZNE sequence with an isotropic resolution of 0.8 mm. Our results indicate that VASO better differentiates the monocular responses between adjacent columns compared to GRE BOLD. In addition, the binocular modulation of the monocular neurons in V1 could possibly be revealed with VASO contrast. |
| 0623 | 17:37
|
Layer-resolved FMRI activation and connectivity of the left inferior frontal cortex during reading |
| Daniel Sharoh1, Peter Hagoort1,2, and David G Norris1,3,4 | ||
1Donders Institute, Radboud University, Nijmegen, Netherlands, 2Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands, 3Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany, 4Faculty of Science and Technology, Magnetic Detection and Imaging, University Twente, Enschede, Netherlands |
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Keywords: Brain Connectivity, fMRI (task based), Laminar FMRI We present results which demonstrate simultaneous bottom-up and top-down connectivity from BA44 to regions hierarchically inferior/superior to it in the context of a reading paradigm. BA44 is critical to a number of cognitive functions in humans, notably language. We also demonstrate that the layer dependent signal is sensitive to stimulus length. This effect is contrary to what would be expected in primary sensory cortices, as increased length relates to decreased input. Hence, we also provide insight to how canonical cortico-cortical circuits can lead to different outcomes depending on the nature of the input and the stage of the processing hierarchy. |
| 0624 | 15:45
|
High-resolution and rapidly-acquired T2 mapping using deep-learning reconstruction and parallel imaging in evaluation of knee cartilage |
| Weiyin Vivian Liu1, Xiaxia Wu2, and Yunfei Zha2 | ||
1GE Healthcare, Beijing, China, 2Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China |
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Keywords: MSK, Quantitative Imaging T2 mapping reflects biochemical composition of tissues such as cartilage, tendon, ligament, meniscus without requirement for a contrast injection or special MRI imaging hardware, and there are numerous available techniques for post-processing of T2 images. However, scan time and signal-to-noise ratio are critical factors in clinical implementation. With the development of parallel imaging in combination of deep-learning based reconstruction algorithm, high-resolution and reproducible T2 mapping was potentially achieved to identify cartilage injury or degeneration in spite that T2 relaxation time cannot directly refer to previous studies but showed high consistency with the same acceleration factor for T2 mapping. |
| 0625 | 15:53
|
Enhancing fluid signal in driven-equilibrium short-tau inversion-recovery (STIR) imaging with short TR times. |
| Constantin von Deuster1,2 and Daniel Nanz2,3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Zurich, Switzerland, 2Swiss Center for Musculoskeletal Imaging, Balgrist Campus AG, Zurich, Switzerland, 3University of Zurich, Zurich, Switzerland |
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Keywords: MSK, Contrast Mechanisms, Driven Equilibrium Fluid-sensitive Turbo-Spin-Echo (TSE) imaging in combination with Short-Tau Inversion Recovery for fat suppression (STIR) is commonly employed in musculoskeletal MRI. A Driven Equilibrium (DE) module following the imaging train can be used to reduce the Repetition Time (TR) without significant SNR loss. However, due to the STIR preparation, a conventional DE element rotates the fluid magnetization onto the negative z-axis instead of the positive z-axis, which delays longitudinal relaxation and attenuates the fluid signal. We implemented a modified DE module that increased fluid-signal intensity in STIR-TSE images of the spine. |
| 0626 | 16:01
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Improved 3D DESS MR Neurography of the Lumbosacral Plexus with Deep Learning and Geometric Image Combination |
| Yenpo Lin1,2, Ek T. Tan1, Gracyn Campbell1, Philip G. Colucci1, Sumedha Singh1, Yan Wen3, Qian Li1, and Darryl B. Sneag1 | ||
1Hospital for Special Surgery, New York, NY, United States, 2Chang Gung Memorial Hospital, Taipei, Taiwan, 3GE Healthcare, Waukesha, WI, United States |
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Keywords: Neurography, Neurography Geometric image combination (GIC) and deep learning (DL) reconstructions were together applied to improve nerve visualization in lumbosacral plexus MR neurography (MRN) using the 3D dual echo steady-state free precession (DESS) sequence. Qualitative comparisons were made against standard image reconstruction of the 2nd echo of the DESS sequence. While standard-of-care (SOC) reconstructions of 3D DESS images provided effective vascular suppression and good nerve conspicuity, the DL-GIC reconstructed images demonstrated similar or improved nerve conspicuity. |
| 0627 | 16:09
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Evaluation of an accelerated Deep Learning-reconstructed T2 mapping technique through knee cartilage regional analysis using DOSMA framework |
| Laura Carretero Gómez1,2, Maggie Fung3, Bruno Nunes4, Valentina Pedoia5, Sharmila Majumdar5, Akshay Chaudhari 6, Arjun Divyang Desai6,7, Anthony Andrea Gatti6, Feliks Kogan6, and Mario Padron8 | ||
1GE Healthcare, Munich, Germany, 2LAIMBIO, Rey Juan Carlos University, Madrid, Spain, 3GE Healthcare, New York, NY, United States, 4GE Healthcare, San Ramon, CA, United States, 5University of California, San Francisco, San Francisco, CA, United States, 6Radiology, Stanford University, Stanford, CA, United States, 7Electrical Engineering, Stanford University, Stanford, CA, United States, 8Clinica CEMTRO, Madrid, Spain |
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Keywords: Cartilage, Quantitative Imaging The clinical translation of MRI Quantitative Imaging is still hampered by the high variability and suboptimal reproducibility of the cartilage biomarkers. The purpose of this work is to validate the consistency of a novel accelerated DL reconstructed T2 mapping technique compared to conventional reconstructed acquisition, on knee patient population. To access both femoral cartilage T2 maps, we propose a semi-automatic workflow through AI-based cartilage segmentation and regional quantification using DOSMA framework. Relaxometry analysis showed no difference between both T2 mapping techniques, implying a great step into an extensive clinical adoption. |
| 0628 | 16:17
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Non-Contrast MRI of Micro-Vascularity of the Feet and Toes |
| Won Bae1,2, Vadim Malis1, Asako Yamamoto3, Yoshimori Kassai4, Jun Isogai5, Katsumi Nakamura6, John Lane7, and Mitsue Miyazaki1 | ||
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2VA San Diego Healthcare System, San Diego, CA, United States, 3Radiology, Teikyo University, Tokyo, Japan, 4Canon Medical Systems Corp, Otawara, Japan, 5Radiology, Asahi General Hospital, Chiba, Japan, 6Kyoritsu Tobata Hospital, Kitakyusyu, Japan, 7University of California, San Diego, La Jolla, CA, United States |
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Keywords: MSK, Arterial spin labelling, Bilateral feet perfusion, ASL, Feet and Toes Non-contrast MR perfusion techniques were developed to assess micro-vascularity of the foot in humans. Using flow-out spin labeling with 3D SSFSE acquisition at multiple Tis, we obtained perfusion signal into distal feet and toes. Signal vs. TI data was fit to determine perfusion metrics including peak height (PH), apparent blood volume (aBV) and apparent blood flow (aBF). Compared to 1-tag, when 4-tag pulses were used PH, aBV, and aBF were significantly greater, suggesting increased signal afforded by the 4-tag pulses. This will be useful for subjects with low blood flow, such as those with peripheral artery disease. |
| 0629 | 16:25
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Unraveling Bone Marrow Adipose Tissue Composition Through 3T Deep Learning Chemical Shift Encoded-MRI |
| Dimitri Martel1, Benjamin Leporq2, Anmol Monga1, Stephen Honig3, and Gregory Chang1 | ||
1Radiology, NYU Langone, New York, NY, United States, 2Université de Lyon; CREATIS CNRS UMR 5220, Inserm U1206, INSA-Lyon, Villeurbanne, France, 3Osteoporosis Center, Hospital for Joint Diseases, NYU Langone, New York, NY, United States |
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Keywords: Bone, Fat Chemical Shift Encoded (CSE) MRI method has been used to highlight subregional differences in the femoral bone marrow in terms of fatty acids composition in proximal femur, suggesting an important role of the marrow in bone quality. This method requires a certain number of echoes (3 for fat/water separation and >8 for fatty acids mapping). Deep Learning (DL) has been recently applied to accelerate, improve the quality and efficiency for fat/water separation in CSE-MRI. Our aim was to develop a DL-CSE method and evaluate it for fatty acids composition mapping; using different echo numbers. |
| 0630 | 16:33
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Quantification of muscle fat fraction and water T2 via RF phase-modulated 3D gradient-echo imaging |
| Eléonore Vermeulen1, Pierre-Yves Baudin1, Marc Lapert2, and Benjamin Marty1 | ||
1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France, 2Siemens Healthcare SAS, Saint-Denis, France |
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Keywords: Muscle, Quantitative Imaging Intramuscular fat fraction (FF) is a frequently used biomarker of neuromuscular disease severity while water-T2 has been identified as a biomarker of disease activity. In this feasibility study, we explored the possibility to exploit RF phase-modulated 3D gradient-echo imaging to obtain multi-parametric mapping adapted to the study of skeletal muscles. Monte Carlo simulations were conducted to evaluate the robustness to noise of this proposed approach. An in vivo proof of concept on healthy volunteers was performed. |
| 0631 | 16:41
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Application of fast, oblique 2D-UTE to musculoskeletal imaging with a library of predistorted slice select gradient waveforms |
| Kevin D Harkins1,2,3, Nicholson S Chadwick1, and Mark D Does2,3 | ||
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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Keywords: MSK, Pulse Sequence Design The adoption of 2D UTE for general musculoskeletal imaging has been slowed by technical limitations—especially gradient errors that cause slice profile distortions. In this work, a library of predistorted gradient waveforms were used to interpolate slice select gradient waveforms for oblique oriented half-pulse 2D UTE. Example multi-echo and multi-slice acquired 2D UTE images are shown in the tibia, ankle, & knee. Positive contrast in collagen rich tissues like bone and tendon could provide a new source of information to potentially diagnose MSK injuries. |
| 0632 | 16:49
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Volume isotropic 3D bone Imaging with broadband IR-prepared FLORET UTE and Fibonacci interleaved trajectory ordering |
| Masami Yoneyama1, Minako Azuma2, Masahiro Enzaki3, Guruprasad Krishnamoorthy4,5, Ryan Robison4, Iain Ball6, Hiroshi Hamano1, and Marc Van Cauteren7 | ||
1Philips Japan, Tokyo, Japan, 2Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan, 3Division of Radiology, Miyazaki University Hospital, Miyazaki, Japan, 4Philips Healthcare, Rochester, MN, United States, 5Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States, 6Philips Australia & New Zealand, North Ryde, Australia, 7Philips Healthcare, Best, Netherlands |
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Keywords: Bone, Bone MR bone imaging has gained more attention for detecting and assessing bone pathology. In this study, we proposed a new technique consisting of broadband inversion recovery preparation with FLORET UTE with Fibonacci interleaved trajectory ordering (FLORET BoneVIEW) to obtain 3D isotropic bone images within a clinically feasible scan time. FLORET BoneVIEW has great potential to help a more accurate assessment of bone pathology as an alternative to CT bone imaging. |
| 0633 | 16:57
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Application of Direct Signal Control with Variable Excitation and Refocusing for T2-w TSE Musculoskeletal Imaging at 7 Tesla |
| Oliver Kraff1, Jenni Schulz2, Markus W May1,3, Tom WJ Scheenen1,2, Thomas B Meurs4, Sebastian Schmitter5, Jens M Theysohn6, and Harald H Quick1,3 | ||
1Erwin L Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, 2Medical Imaging, Radboud UMC, Nijmegen, Netherlands, 3High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 4Tesla Dynamic Coils, Zaltbommel, Netherlands, 5Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 6Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany |
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Keywords: Joints, RF Pulse Design & Fields, UHF First experiences with direct signal control with variable excitation and refocusing (DiSCoVER) for T2-weighted TSE imaging in 7 Tesla musculoskeletal (MSK) applications of hip, shoulder, and ankle are presented. Images were compared to static RF shimming aiming at a homogeneous excitation by using the MR system’s framework as well as optimizing for a B1+-efficient shim in an offline calculation. DiSCoVER yielded satisfying results within the ROI defined for signal optimization but showed more pronounced signal dropouts outside the ROI compared to static RF shimming. Workflow improvements were particularly noted for DiSCoVER as it calculates pTx scale factors under SAR constraints. |
| 0634 | 17:05
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Deep-learning-based scoring for inflammatory lesions using SPARCC system |
| Yingying Lin1, Yin Chung Ho2, Shirley Chui Wai Chan3, Kam Ho Lee4, and Peng Cao3 | ||
1the university of HongKong, Hongkong, Hong Kong, 2Chiron Medical, HongKong, Hong Kong, 3the university of HongKong, HongKong, Hong Kong, 4Queen Mary Hospital, HongKong, Hong Kong |
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Keywords: Joints, Joints, deep learning, MRI, Ankylosing spondylitis Our work proposed a work pipeline to automatic score the inflammatory lesion based on the SPARCC scoring system. This pipeline included the reference vessel intensity set-up, template-based registration, and lesion detection with scoring. With this pipeline, a time-saving and objective scoring method based on SPARCC scoring system could be achieved and widely applied to AS patient management. Our result showed reasonable performance for score-2 and score-3 lesions demonstrating the deep learning initial capacity of performing the SPARCC scoring. |
| 0635 | 17:13
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Local $$$B_1^+$$$ shimming improves visualization of the bone-metal interface in patients with orthopedic hardware |
| Iman Khodarahmi1, Mahesh B Keerthivasan2, and Jan Fritz1 | ||
1NYU Langone School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA Inc., Malvern, PA, United States |
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Keywords: Bone, Bone $$$B_1^+$$$ field inhomogeneity is a source of metal artifacts in patients with orthopedic hardware. Local $$$B_1^+$$$ shimming can potentially decrease these artifacts and improve visualization of the bone-metal interface. Our proposed turbo-spin echo-based $$$B_1^+$$$ mapping technique enables accurate estimation of the $$$B_1^+$$$ field near the metal hardware. After optimization for in-vivo applications, the technique was successfully employed on a clinical 3.0 T parallel-transmit system aiming at $$$B_1^+$$$ shimming near the orthopedic hardware. Our results demonstrate significant improvement in visualization of the bone-metal interface compared to standard 1.5 and 3.0 T acquisitions. |
| 0636 | 17:21
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MRI-based porosity index and suppression ratio in the tibial cortex: significant differences in normal, osteopenic, and osteoporotic subjects |
| Saeed Jerban1,2,3, Yajun Ma1,2, Dina Moazamian1, Jiyo Athertya1, Sophia Dwek1, Hyungseok Jang1,2, Gina Woods4, Christine B Chung1,2, Eric Y Chang1,2, and Jiang Du1,2 | ||
1Department of Radiology, University of California, San Diego, La Jolla, CA, USA, San Diego, CA, United States, 2Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, USA, San Diego, CA, United States, 3Department of Orthopedic Surgery, University of California, San Diego, La Jolla, CA, USA, San Diego, CA, United States, 4Department of Medicine, University of California, San Diego, La Jolla, CA, USA, San Diego, CA, United States |
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Keywords: Bone, Bone, Tibia The porosity index (PI) and the suppression ratio (SR) are two rapid MRI-based techniques developed using ultrashort echo time (UTE) sequences to evaluate the cortical bone microstructure. We have investigated the performance of PI and SR in detecting tibial bone quality differences between osteoporosis (OPo) patients, osteopenia (OPe) patients, and healthy volunteers with normal bone (Normal). We also investigated the correlations of PI and SR with DEXA T-score performed at the hip in patients. PI and SR were significantly higher in the OPo group compared with the Normal and OPe groups. DEXA T-score was significantly correlated with PI and SR. |
| 0637 | 17:29
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Self-supervised T1 Mapping from Two Variable Flip Angle Images without Requiring Ground Truth T1 Maps |
| Yan Wu1, Yajun Ma2, Zhitao Li1, Jiang Du2, John Pauly1, and Shreyas Vasanawala1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology, University of California San Diego, San Diego, CA, United States |
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Keywords: Cartilage, Cartilage, supervised learning We propose a self-supervised learning method that derives T1 map from a reduced number of variable flip angle images without requiring ground truth maps, aimed at minimizing data acquisition efforts for obtaining training and testing data. |
| 0638 | 17:37
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De-noising of 4D real-time joint motion images using a convolutional neural network trained on static data |
| Laurel Hales1, Arjun Desai1, Valentina Mazzoli 1, Akshay Chaudhari1, and Feliks Kogan1 | ||
1Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Joints, Image Reconstruction, kinematic We demonstrated the potential applying a noise removal machine learning network trained on images without motion, on a set of similar real-time images acquired with motion. |
| 0639 | 15:45
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Distinct dACC Glutamate Modulation during Inhibitory Motor Control Driven by Negative Emotional Stimuli in Trauma-Exposed Youth using 1H fMRS |
| John McClellan France1, Dalal Khatib1, Sharuel A. Valbrun1, William M. Davie1, Jillian Eichstaedt1, Vaibhav A. Diwadkar1, Tanja Jovanovic1, and Jeffrey Stanley1 | ||
1Wayne State University, Detroit, MI, United States |
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Keywords: Psychiatric Disorders, Trauma, Adolescent Development We investigated changes in glutamate in the dACC in children exposed to childhood trauma during motor control function with and without inhibition as well as with and without stimuli depicting negative affect using 1H fMRS. Independent of motor control with/without inhibition, trauma-exposed children exhibited a significant reduction in dACC glutamate when stimuli of negative affect were present, relative to stimuli without affect. These results provide greater insight on the neurochemistry supporting the influence of negative emotional context on motor control and highlight potential novel biomarkers for risk and resilience to posttraumatic stress. |
| 0640 | 15:53
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Astrocyte dysfunction drives abnormal resting-state functional connectivity in depression |
| Jiaming Liu1, Jia-Wen Mo2, Xunda Wang3,4, Ziqi An1, Shuangyang Zhang1, Can-Yuan Zhang2, Peiwei Yi1, Alex T. L. Leong3,4, Jing Ren2, Liang-Yu Chen2, Ran Mo2, Yuanyao Xie1, Qianjin Feng1, Wufan Chen1, Tian-Ming Gao2, Ed X. Wu3,4, Yanqiu Feng1,2,5,6, and Xiong Cao2,7 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, Guangzhou, China, 2Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong Province Key Laboratory of Psychiatric Disorders, Department of Neurobiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China, Guangzhou, China, 3Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China, Hong Kong, China, 4Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China, Hong Kong, China, 5Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, Guangzhou, China, 6Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China, Guangzhou, China, 7Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China, Guangzhou, China |
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Keywords: Brain Connectivity, fMRI Even though brain-wide network-level abnormalities in major depressive disorder (MDD) patients via resting-state functional MRI (rsfMRI) exist, the mechanisms underlying such network changes are unknown. Here, we show that the astrocytic calcium deficient mice, inositol 1,4,5-trisphosphate-type-2 receptor knockout mice (Itpr2-/- mice), display abnormal rsfMRI connectivity (rsFC), which is highly consistent with those of MDD patients. Optogenetic activation of medial prefrontal cortex (mPFC) astrocytes partially rescues rsFC. Optogenetic activation of the mPFC neurons or mPFC-striatum pathway rescues disrupted rsFC and depressive-like behaviors in Itpr2-/- mice. Our results identify the previously unknown role of astrocyte dysfunction in driving rsFC abnormalities in depression. |
| 0641 | 16:01
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Multivariate association between brain functional networks and symptoms and psychosocial environment in adolescent depression |
| Yingxue Gao1, Ruohan Feng2, Yang Li3, Zilin Zhou1, Kaili Liang1, Weijie Bao1, Lihua Zhuo2, Guoping Huang3, and Xiaoqi Huang1,4 | ||
1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Radiology, Sichuan Mental Health Center, the Third Hospital of Mianyang, Mianyang, China, 3Department of Psychiatry, Sichuan Mental Health Center, the Third Hospital of Mianyang, Mianyang, China, 4Psychoradiology Research Unit of the Chinese Academy of Medical Science , West China Hospital of Sichuan University, Chengdu, China |
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Keywords: Psychiatric Disorders, fMRI (resting state), Depression The current study investigated the multivariate correlations between resting-state functional network connectivity and symptoms and environmental measures in adolescents with major depressive disorder (MDD) using the sparse canonical correlation analysis. We identified one stable association mode which showed primary correlation of environmental stressors, especially the interpersonal stress, with functional connectivity of networks that support salience processing, reward and sensory processing. Based on this brain-behavior association, we were able to categorize adolescents with MDD into two subgroups and delineate how psychosocial factors contributed to the neurobiological mechanism underlying adolescent depression. |
| 0642 | 16:09
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Functional Connectivity of the Cerebellar Vermis in Bipolar Disorder |
| Vincent Magnotta1, Arshaq Saleem2, Gail Harmata1, Shivangi Jain2, Michelle W Voss3, Jess G Fiedorowicz4, Aislinn Williams3, Joseph J Shaffer5, Jenny Gringer Richards3, Ercole John Barsotti3, Leela Sathyaputri3, Samantha L Schmitz6, Gary E Christensen3, Jeffrey D Long3, Jia Xu3, and John A Wemmie3 | ||
1Radiology, University of Iowa, Iowa City, IA, United States, 2Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States, 3University of Iowa, Iowa City, IA, United States, 4University of Ottawa, Ottawa, ON, Canada, 5University of Kansas City, Kansas City, MO, United States, 6Des Moines University, Des Moines, IA, United States |
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Keywords: Psychiatric Disorders, fMRI (resting state) This study used resting state functional connectivity to study connectivity of the cerebellar vermis with the cerebrum in bipolar disorder. |
| 0643 | 16:17
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Uncoupling of Anaerobic Glucose Metabolism and Oxidative Phosphorylation following Acute Electroconvulsive Shock in Mice Brain |
| Ajay Sarawagi1,2 and Anant Bahadur Patel1,2 | ||
1Department of NMR Microimaging and Spectroscopy, CSIR - Center for Cellular and Molecular Biology, Hyderabd, India, 2Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, India |
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Keywords: Psychiatric Disorders, Spectroscopy, Metabolism, Glutamate, GABA, 13C NMR Electroconvulsive therapy (ECT) is an established treatment for drug-resistant depression. However, the impact of ECT on neurotransmitter pathways is not clear. The cerebral metabolic rates were measured post ECS in mice using 1H-[13C]-NMR spectroscopy in conjunction with intravenous [1,6-13C2]glucose infusion. The concentrations of lactate, alanine, GABA, and choline were increased in the prefrontal cortex post 3.5 min of ECS. The concentrations of alanine-C3 and lactate-C3 increased after 3.5 min of ECS. In contrast, glutamatergic and GABAergic neurometabolic activity was reduced 3.5 min post ECT, and restored in an hour. These data indicate the dominance of glycolysis in the post-ictal period. |
| 0644 | 16:25
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A common brain network underlying successful neuromodulatory treatment of Obsessive-Compulsive Disorder |
| Jurgen Germann1, Gavin JB Elias1, Emily HY Wong1, Kazuaki Yamamoto2, Artur Vetkas1, Flavia V Gouveia3, Aaron Loh1, Alexandre Boutet1, and Andres M Lozano1 | ||
1University Health Network, Toronto, ON, Canada, 2Functional Neurosurgery Center, Shonan Fujisawa Tokushukai Hospital, Fujisawa, Japan, 3Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON, Canada |
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Keywords: Psychiatric Disorders, Psychiatric Disorders, Obsessive-compulsive disorder Obsessive-compulsive disorder (OCD) is a debilitating condition, with up to 20% of patients being refractory to medical treatment. For these severe cases, neuromodulatory techniques targeting distinct brain areas have been successful. In this work, we used normative functional connectomics to identify the brain network underlying symptom improvement in OCD. A pan-modality efficacy map identified cortical and subcortical areas as key regions, and this specific network could be used to successfully predict clinical improvement. These results suggest that symptom reduction following neuromodulation involves the engagement of a common functional network that could be investigated as a biomarker of treatment success. |
| 0645 | 16:33
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ACC Connectivity Changes during ALIC Deep Brain Stimulation for Obsessive Compulsive Disorder |
| Sushil Bohara1, Natalya Slepneva2, Tenzin Norbu2, Moses Lee2, and Melanie A. Morrison3 | ||
1University of California, Berkeley, Berkeley, CA, United States, 2Department of Psychiatry & Behavioral Sciences, University of California, San Fransciso, San Francisco, CA, United States, 3Radiology & Biomedical Imaging, University of California, San Fransciso, San Francisco, CA, United States |
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Keywords: Brain Connectivity, Psychiatric Disorders Chronic deep brain stimulation (DBS) of the anterior limb of the internal capsule (ALIC) is an emergent therapy for severe cases of obsessive-compulsive disorder (OCD), however patient response is variable with only 50-60% of patients classified as responders. Toward optimizing therapy for the individual patient and improving overall treatment efficacy, here we used fMRI during ALIC stimulation to evaluate changes in OCD network functional connectivity. In 5 patients, we found that DBS, when in a therapeutic configuration for the patient, may be reducing abnormal hyperconnectivity to improve symptoms, while nontherapeutic configurations may be disrupting fronto-posterior connections causing unwanted symptoms. |
| 0646
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16:41
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7T MRI and PET in Tourette Syndrome: Correlations between subcortical dopamine receptor availability and susceptibility |
| Dimitrios G. Gkotsoulias1, Michael Rullmann2, Simon Schmitt3, Anna Bujanow1, Franziska Zientek2, Konstantin Messerschmidt2, Kirsten Müller-Vahl3, Henryk Barthel2, and Harald E. Möller4 | ||
1NMR Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany, 3Clinic of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany, 4Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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Keywords: Psychiatric Disorders, PET/MR, QSM, 7T, Tourette Syndrome, PET, Dopamine, Receptors, D1 We present interim results of the first combined 7T MRI and [11C]-SCH23390 PET study in Gilles de la Tourette syndrome (GTS). Dopamine D1-receptor availability is assessed in combination with Quantitative Susceptibility Mapping (QSM). Our results indicate reduced iron concentrations in subcortical grey matter of GTS patients compared to age- and sex-matched controls, accompanied by reduced D1-receptor binding potential in several regions. Correlations between local iron distribution and D1-receptor binding potential in basal ganglia support the hypothesis that iron homeostasis might play a significant role in dysregulations of the dopaminergic system that eventually lead to the characteristic symptomatology of GTS. |
| 0647 | 16:49
|
Glymphatic system dysfunction in Primary Insomnia evidenced by diffusion tensor imaging with the perivascular space (DTI-ALPS) |
| Yu Jin1, Xiaoyong Zhang2, Xin Ding3, and Guangwen Chen1 | ||
1Department of Radiology, Chengdu Second Peolpe's Hospital, Chengdu, China, 2Clinical Science, Philips Healthcare, Chengdu, China, 3Department of Neurology, Chengdu Second Peolpe's Hospital, Chengdu, China |
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Keywords: Psychiatric Disorders, Microstructure Sleep has been hypothesized to assist waste clearance from the brain. We aimed to determine whether primary insomnia is associated with glymphatic system dysfunction by using diffusion tensor imaging (DTI) with the perivascular space (DTI-ALPS), a potential marker of impaired brain waste clearance. In this study, we found that the DTI-ALPS in patients with primary insomnia was significantly lower than in healthy controls and the DTI-ALPS index was significantly negatively correlated with neuropsychological performance score. The results suggests that DTI-ALPS may be a useful imaging tool for studying glymphatic system function with primary insomnia. |
| 0648 | 16:57
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Metabolic changes in hippocampus in preclinical model due to chronic noise exposure: An in-vivo 1H Magnetic Resonance Spectroscopy study. |
| Nisha Chauhan1, S Senthil Kumaran1, and Himanshu Singh1 | ||
1Department of Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, India |
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Keywords: Psychiatric Disorders, Brain, Stress, Depression, Pre clinical, MRS Occupational and environmental noise contributes to major public health issues. The chronic high level noise exposure may cause stress and depression and also alterations in Neurometabolites. In-vivo 1H MRS and Open-Field Test are carried out to elucidate the changes in brain metabolite and its effect on behavior due to chronic noise exposure in a preclinical model. A significant increase in Glutamate and N- Acetylaspartate metabolite was observed in hippocampus which is an important target to study the effects of stress. Reduced total movement time, movement distance and mean velocity were observed in the noise exposed group. |
| 0649 | 17:05
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Quantitative MRI biomarkers of pathology in a Poly I:C rat lactational model of schizophrenia and depression |
| Coral Helft1, Tamar Katzir2, Noam Omer2, Emilya Natali Shamir3, Yeal Piontkewitz3, Ina Weiner3, Shimon Shahar 4, and Noam Ben-Eliezer1,2,5 | ||
1Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 2Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 3School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel, 4Center of AI and Data Science (TAD), Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States |
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Keywords: Psychiatric Disorders, Quantitative Imaging, Psychiatric disorders, Neuroscience, Multi-Contrast Many psychiatric conditions lack radiologic markers of disease. In this study, we investigated the utility of quantitative MRI (qMRI) for detecting pathology in the lactational immune activation rat model of schizophrenia and depression. Results show that a logistic regression model can identify the disease with an accuracy of 81% based on a combination of T1 and T2, mean diffusivity, and fractional anisotropy values. This finding suggests that multiparametric qMRI is useful for monitoring pathology with an objective quantitative tool that goes beyond structural deformations and improves the sensitivity to microstructural and neurochemical pathology in the lactational immune activation rat model. |
| 0650 | 17:13
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Identification of Quantitative Susceptibility Biomarkers for First Episode Psychosis using XGBoost |
| Pamela Franco1,2, Cristian Montalba1,2,3, Raul Caulier-Cisterna1,2, Marisleydis García1,2,4, Alonso González5,6, Juan Undurraga5,7, Nicolás Crossley2,5, Cristian Tejos1,2,4, and Sergio Uribe1,2,3 | ||
1Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Electrical Engineering Department, School of Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 5Department of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 6School of Medicine, Universidad Finis Terrae, Santiago, Chile, 7Pharmacovigilance, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile |
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Keywords: Psychiatric Disorders, Quantitative Susceptibility mapping Several studies have demonstrated altered neurochemicals in deep-brain nuclei of psychosis patients. These alterations suggest a dopamine dysfunction in subcortical areas. QSM images quantify magnetic susceptibility changes in the brain. These changes are usually associated with iron concentrations and co-factor in dopamine pathways of the neurons. We propose a method based on machine learning to discriminate between psychosis patients and healthy controls by looking at the magnetic susceptibility of 9 deep gray matter nuclei, obtaining a precision of 91.6%. |
| 0651 | 17:21
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Normative Modelling of White Matter Microstructure in Early Psychosis and Schizophrenia |
| Tommaso Pavan1,2, Yasser Alemán-Gómez1,2, Raoul Jenni2,3, Martine Cleusix2,3, Luis Alameda2,4, Kim Quang Do Cuenod2,3, Philippe Conus2,4, Paul Klauser2,5, Patric Hagmann1,2, and Ileana Jelescu1,2 | ||
1Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2University of Lausanne (UNIL), Lausanne, Switzerland, 3Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 4General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital (CHUV), Lausanne, Switzerland, 5Center for Psychiatric Neuroscience and Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland |
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Keywords: Psychiatric Disorders, Microstructure, Schizophrenia, Neuroinflammation, Neurodegeneration, Microstructure, Diffusion, White Matter The great majority of studies in schizophrenia (SCHZ) failed to achieve recognizable spatial patterns of the disease due to its heterogeneity. With this abstract, the authors aim to understand WM microstructure patterns from an individual perspective in early psychosis and SCHZ using advanced diffusion MRI metrics, namely diffusion kurtosis imaging (DKI), the WM microstructure model White Matter Tract Integrity – Watson (WMTI-W) and normative modelling, a statistical method for studying individual differences as extreme deviations from the normality. Overall, deviations in SCHZ subjects were twice as frequent when compared to EP or CTRL while EP displayed more spatial heterogeneity. |
| 0652 | 17:29
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Prominent role of cerebellar communication in schizophrenia reflected by resting state fMRI connectivity |
| Shukti Ramkiran1,2, Ravichandran Rajkumar1,2, Claudia Régio Brambilla1, Linda Orth2, Hasan Sbaihat1, Nicolas Kaulen1, Jörg Mauler1, Tanja Veselinović1,2, Nibal Khudeish1, Lutz Tellmann1, Karl-Josef Langen1,3,4, Christoph Lerche1, N. Jon Shah1,3,4,5, and Irene Neuner1,2 | ||
1Institute of Neuroscience and Medicine - 4 (INM- 4), Forschungszentrum Jülich, Juelich, Germany, 2Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany, 3Department of Nuclear Medicine, Uniklinik RWTH Aachen, Aachen, Germany, 4Department of Neurology, Uniklinik RWTH Aachen, Aachen, Germany, 5Institute of Neuroscience and Medicine 11 (INM - 11), Forschungszentrum Jülich, Juelich, Germany |
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Keywords: Psychiatric Disorders, fMRI (resting state), Schizophrenia Schizophrenia is a complex neuropsychiatric disorder, the pathophysiology of which is unclear. Several studies have shown the involvement of altered brain communication. Several new voxel-level connectivity measures such as radial similarity, radial correlation, inter-hemispheric connectivity and local correlation have enabled a deeper understanding of alterations in communication. Our results reveal the prominent role of the cerebellum in schizophrenia by investigating voxel-level connectivity in resting state fMRI data. |
| 0653 | 17:37
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Disrupted Associations between the Transcriptome Profile, Brain Structure and Function, and Cognitive Ability in Schizophrenia |
| Shu-wan Zhao1, Hong Yin2, and Long-biao Cui1 | ||
1Fourth Military Medical University, Xi'an, China, 2Xi’an People’s Hospital (Xi’an Hourth Hospital), Xi'an, China |
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Keywords: Psychiatric Disorders, Genetics, Schizophrenia Cognitive dysfunction is considered to be one of the core symptom dimensions of schizophrenia. To deconstruct the underlying etiological behind cognitive deficits from a more integrated and multidimensional perspective, we established a trans-scale dataset at the level of the individual corresponding to each participant and control, containing blood-sample transcriptome profile, neuroimaging endophenotypes, and cognitive ability. Multivariate correlation analysis and mediation analysis demonstrated that the gene-brain-cognition associations were exsisted in healthy controls, whereas disrupted in patients with schizophrenia. These results provide a preliminary clue in comprehending the misaligned relationship between the microscale biological pathways and macroscopic phenotypes in schizophrenia. |
15:45
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Basics of Animal MRI: What Clinicians Should Know | |
| Noam Shemesh1 | ||
1Champalimaud Foundation, Portugal |
16:05
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How Does Animal Research Reach Clinical Practice? | |
| Diego Martin1 | ||
1Radiology, Houston Methodist, Houston, TX, United States |
| 0654 | 16:25
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High Fat Diet Induced Cerebrovascular Pathology and Immune Cell Recruitment: A MRI Guided Histology Study |
| Li Liu1, Ryan Hunt1, Hari Rallapalli1, Nikorn Pothayee1, Stephen Dodd1, Nadia Bouraoud1, Dragan Maric1, Gary Zabow2, and Alan P Koretsky1 | ||
1National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, MD, United States, 2Magnetic Imaging Group, National Institute of Standards and Technology, Boulder, CO, United States |
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Keywords: Neuroinflammation, Neuroinflammation High fat diet (HFD) causes chronic low-grade inflammation and is associated with an increased risk of cerebrovascular pathology and neurodegenerative disorders. Hypothalamus can sense peripheral signals and has been the major focus of HFD induced neuroinflammation. This work aims to study the activation of BBB endothelial cells, immune cell infiltration, and brain cell inflammation in the whole brain in real time caused by short-term HFD. Molecular MRI, using a new ultrahigh moment microfabricated gold-iron micro-disc, provides non-invasive guidance to the histology study. Our data indicate that HFD causes neuroinflammation in a remarkably short time in many structures of brain. |
| 0655 | 16:33
|
Cerebral Mapping of Glutamate-Weighted MR Imaging (GluCEST) in a Rat Model of Lipopolysaccharide-Induced Sepsis |
| Do-Wan Lee1, Jae-Im Kwon2, Hwon Heo3, Chul‐Woong Woo4, Yeon Ji Chae3, Na Hee Yu2, Seongwon Na5, Yousun Ko1, Nari Kim6, Joongkee Min4, Monica Young Choi4, Kyung Won Kim1, and Dong‐Cheol Woo3,4 | ||
1Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 2QuBEST Bio Co. ltd., Gyeonggi-do, Korea, Republic of, 3Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 4Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 5Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 6Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of |
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Keywords: Neuroinflammation, Molecular Imaging Glutamate-weighted chemical exchange saturation transfer (GluCEST) is a useful imaging tool which is used to detect glutamate signal alterations caused by neuroinflammation. The present study quantitatively evaluated glutamate level changes in the hippocampal region of a rat model of sepsis-induced brain injury using GluCEST and proton magnetic resonance spectroscopy (1H-MRS). The GluCEST and 1H-MRS results showed that GluCEST values and glutamate concentrations were significantly higher in the sepsis-induced rats than in the controls. GluCEST imaging could be a helpful technique for defining a biomarker to estimate the glutamate-related metabolism in sepsis-associated diseases. |
| 0656 | 16:41
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Systemic inflammation causes cerebral hypoperfusion, reductions in brain susceptibility and hippocampal hypoxia: a 9.4T MRI animal study |
| Qandeel Shafqat1, Ying Wu1, Uche J Ohaezukosi1, Ty Makarowski1, Hongfu Sun2, Rehman Tariq1, and Jeff F. Dunn1 | ||
1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia |
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Keywords: Multiple Sclerosis, Brain Inflammation is a pathological characteristic of multiple sclerosis (MS). Individuals with MS are reported to experience reductions in cerebral blood flow (CBF) and brain hypoxia (low oxygenation). The cause of these phenomena is not well-known. We studied the possible association between inflammation and hypoxia in an inflammatory mouse model by quantifying CBF (arterial-spin labeling MRI) and magnetic susceptibility (quantitative susceptibility mapping), as well as measuring hippocampal oxygen using oxygen-sensitive probes. We found that inflammation is associated with reductions in CBF, brain susceptibility, and hippocampal oxygenation. This supports the idea that inflammation can induce brain hypoxia and disrupt cerebrovascular autoregulation. |
| 0657 | 16:49
|
DGE MRI detects altered glucose uptake and utilization upon microglia activation in Alzheimer’s disease |
| Zilin Chen1, Jianpan Huang1, Haoyun Su1,2, Wai Po Chong3, and Kannie W.Y. Chan1,2,4,5,6 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 2Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, China, 3School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5City University of Hong Kong Shenzhen Research Institute, Shenzhen, China, 6Tung Biomedical Science Centre, City University of Hong Kong, Hong Kong, China |
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Keywords: Alzheimer's Disease, Neuroscience Immune cell activation is a hallmark of Alzheimer’s disease (AD). Microglia activation impairs with glucose metabolism, which may serve as early biomarker for AD. Here, we employed dynamic glucose-enhanced (DGE)-MRI to assess glucose uptake and clearance in AD, and study its relationship with microglia based on our previous study. We observed an increase in microglia in AD than WT, accompanied with relatively high parenchymal glucose uptake and low CSF clearance. We believe further studies to associate the underlying molecular and cellular pathology of AD with DGE-MRI could benefit the identification of AD in early stages. |
| 0658 | 16:57
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Diffusion MRI as a marker of neuroinflammation following intracerebral haemorrhage |
| Josephine Thomas1,2, Hamied Haroon2,3, Emmanuel Pinteaux1,2, Catherine Lawrence1,2, Stuart M Allan1,2, and Ben R Dickie2,4 | ||
1Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PT, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester Academic Health Science Centre, UK, Manchester, United Kingdom, 3Division of Psychology, Communication & Human Neuroscience, Faculty of Biology, Medicine and Health, The University of Manchester, UK, Manchester, United Kingdom, 4Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom |
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Keywords: Stroke, Inflammation Diffusion tensor imaging (DTI) and neurite orientation and density imaging (NODDI) is used to observe regional changes in brain microstructure following intracerebral haemorrhage (ICH) in rats. On day 7 following ICH, DTI and NODDI metrics were significantly altered in haemorrhaged sub-regions as well as healthy appearing overlying cortex, compared to contralateral tissue. Histological analysis suggest these changes are driven by altered cell density and populations, with notable regional changes in microglia/macrophages. In summary, DTI and NODDI parameters are altered in ICH and may reflect changes in the immune cell populations in both haemorrhaged and overlying normal-appearing cortex. |
| 0659 | 17:05
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Sex chromosomes and sex hormones differentially mitigate radiation-induced neuroanatomic deficits in Ccl2 knockout mice. |
| Jonas Yeung1,2, Taylor De Young1, Shoshana Spring1, Qi Xiao3, Jason Lerch4, Mark Palmert5, and Brian J. Nieman1,2,6 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3The Hospital for Sick Children, Toronto, ON, Canada, 4Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 5Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada, 6Ontario Institute for Cancer Research, Toronto, ON, Canada |
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Keywords: Neuroinflammation, Preclinical, mouse, structural, radiation, Ccl2 Females tend to exhibit worse cognitive outcomes than males after pediatric cranial radiation therapy (CRT). Previous literature suggest that these sex differences may be driven by neuroinflammatory responses that involve CCL2. The objective of this study was to determine whether protection from Ccl2 knockout is mediated by sex hormones or sex chromosomes. We employ MRI on a CRT mouse model with mixed sex hormone and chromosome complements (i.e., four core genotypes model) to determine neuroanatomical changes. We found that both male chromosome and male sex hormones separately benefit regions of the brain in CCL2 deficient mice after CRT. |
| 0660 | 17:13
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Association of thalamic neuroinflammation and the functional connectivity in a rat model of traumatic brain injury – a longitudinal study |
| Lenka Dvorakova1, Raimo A. Salo1, Petteri Stenroos1, Ekaterina Paasonen1, Kimmo Jokivarsi1, Jaakko Paasonen1, and Olli Gröhn1 | ||
1A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland |
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Keywords: Brain Connectivity, fMRI (resting state), Light sedation Post traumatic brain injury (TBI) neuroinflammation has been linked to many long-term outcomes of TBI. To better understand the interrelationship of the neuroinflammation and changes of functional connectivity, we followed rats after TBI in a series of functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) experiments. We observed hypoconnectivity in the corticothalamic connections, which was laterally altered at the acute time point and correlated with the observed level of neuroinflammation in the lateroposterior thalamic nuclei. This sheds light on the potential role of focal post-traumatic neuroinflammation shaping large scale functional connectivity in the post-traumatic brain. |
| 0661 | 17:21
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QSM in rats with minimal hepatic encephalopathy: does iron overload aggravate cognitive impairment by promoting neuroinflammation? |
| Xuhong Yang1, Pei Dang2, Jiarui Zheng1, Min Li3, Ruirui Lv1, and Xiaodong Wang2 | ||
1Ningxia Medical University, Yingchuan, China, 2Department of Radiology, General Hospital of Ningxia Medical University, Yingchuan, China, 3GE Healthcare, MR Enhancement Application, Beijing, China |
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Keywords: Neurodegeneration, Quantitative Susceptibility mapping, Minimal hepatic encephalopathy; Iron In this study, we used the QSM technique to quantitatively evaluate the levels of brain iron in the hippocampus of MHE rats and by evaluating the neuroinflammatory response to explore the relationship between iron with neuroinflammation and cognition. It is expected to provide important insights into the occurrence of MHE disease symptoms and the related biological mechanisms behind them. Meanwhile, our findings also suggested that an abnormal susceptibility values in certain brain areas identified using the QSM may be a potential biomarker to reflect the severity of cognitive impairment and to monitor its progression in cirrhotic patients with MHE. |
| 0662 | 17:29
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A Correlational Study of Changes in Behaviour and MRI Measures in the CNS in the EAE Mouse Model of Multiple Sclerosis |
| Rania Muhammed1, Rehman Tariq 2, Uche J Ohaezukosi2, Qandeel Shafqat2, Ying Wu2, and Jeff F. Dunn1 | ||
1University of Calgary, Calgary, AB, Canada, 2Department of Radiology, University of Calgary, Calgary, AB, Canada |
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Keywords: Multiple Sclerosis, Brain Multiple sclerosis is an inflammatory disease of the central nervous system, with a posited hypoxia-inflammation cycle hypothesis. Hypoxia may increase disease severity in MS. We found R2* was increased (an MRI marker of hypoxia) in the cortex. We observed increased sickness and R2* in EAE mice compared to controls, but reduced CBF in both CFA-PTx and EAE. Inflammation is in both groups, while autoimmunity is only in EAE. Reduced CBF may relate to inflammation, whereas hypoxia may relate to autoimmune-mediated damage and increase disease severity. |
| 0663 | 17:37
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Imaging the perivascular and cerebrospinal fluid spaces in TgF344-AD rats using ultra-long echo time MRI |
| Martin Kozár1,2, Laura Parkes1,2, Hervé Boutin3, Igor Chernyavsky4, and Ben Dickie2,5 | ||
1Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Manchester, United Kingdom, 3Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom, 4Department of Mathematics, The University of Manchester, Manchester, United Kingdom, 5Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom |
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Keywords: Neurofluids, Alzheimer's Disease, Perivascular space Enlargement of perivascular and ventricular spaces are associated with neuroinflammation in neurodegenerative diseases, including cerebral small vessel disease and Alzheimer’s disease. In this study we develop methodology for measuring the anatomy of the perivascular space around the anterior cerebral artery and partial-volume-free estimates of total CSF volume and apply this approach to TgF344-AD rats. Neither the area under the curve of perivascular space profiles, nor overall width of the perivascular space, or the total CSF volume differed between TgF344-AD rats and wild-types. |
| 0664
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15:45
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T1 mapping of the entire abdomen using a time efficient free breathing neural network radial Look Locker approach |
| Eze Ahanonu1, Kevin Johnson2, Ute Goerke3, Brian Toner4, Vibhas Deshpande5, Ali Bilgin1,2,6, and Maria Altbach2,6 | ||
1Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States, 2Department of Medical Imaging, The University of Arizona, Tucson, AZ, United States, 3Siemens Healthineers, Tucson, AZ, United States, 4Applied Math Program, The University of Arizona, Tucson, AZ, United States, 5Siemens Healthineers, Austin, TX, United States, 6Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, United States |
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Keywords: Quantitative Imaging, Body The interest in developing quantitative metrics in abdominal imaging has grown in recent years. In particular, abdominal T1 mapping plays a role in the characterization of abdominal pathologies. However, current T1 mapping of the abdomen is limited by poor anatomical coverage, long acquisitions related to sufficient sampling of the T1 recovery curve and recovery times, and reduced T1 accuracy secondary to respiratory motion. Here we present a novel approach for free-breathing T1 mapping of the abdomen, which leverages the undersampling robustness of radial MRI and combines fast data acquisition with deep learning for accurate and efficient abdominal T1 mapping. |
| 0665 | 15:53
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Quantitative 3D DESS T2 mapping with Deep Learning Reconstruction for Magnetic Resonance Neurography |
| Gracyn Campbell1, Darryl B. Sneag1, Qian Li1, and Ek Tsoon Tan1 | ||
1Hospital for Special Surgery, New York, NY, United States |
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Keywords: Quantitative Imaging, Nerves, Deep Learning Conventional, quantitative T2 mapping for MR neurography may depict peripheral neuropathy related changes but has insufficient spatial resolution within acceptable acquisition times (<6 min.) to mitigate motion. Alternatively, dual-echo steady-state (DESS) can simultaneously provide high resolution 3D qualitative anatomical data and quantitative T2 maps for characterizing both nerve and muscle within this targeted acquisition window. Analysis of subjects with peripheral neuropathy in the elbow/forearm region showed that DESS-T2 was higher in involved nerves and muscles, and that DL-reconstruction slightly decreased DESS-T2. Additionally, DESS enabled analysis of the magic angle effect, demonstrating a positive correlation between nerve orientation and DESS-T2 values. |
| 0666 | 16:01
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Development of a novel sequence for T2* quantification of slow-relaxing water pools in the brain |
| Seonyeong Shin*1,2, Ana-Maria Oros-Peusquens*1, Seong Dae Yun1, Ezequiel Farrher1, and N. Jon Shah1,2,3,4,5 | ||
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany, 2RWTH Aachen University, Aachen, Germany, 3Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany, 4JARA - BRAIN - Translational Medicine, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany |
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Keywords: Quantitative Imaging, Relaxometry, Glympathics, CSF T2* relaxation in the brain covers a broad range of values, which can be grouped in three, roughly logarithmically spaced, intervals (short, intermediate, very long). Using a multi-echo GRE sequence to quantify T2* is time-efficient for brain parenchyma, but accurate quantification of slow-relaxing water pools, such as CSF, lengthens the acquisition time. In this work, we propose a novel sequence (ES-QUTE) that combines multi-echo acquisition with echo shifting techniques to effectively quantify the whole range of T2* relaxation times in the brain without increasing the scan time. In addition, ES-QUTE simultaneously characterises fast diffusion. |
| 0667 | 16:09
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Dynamic T2* Relaxometry of Hyperpolarized [1-13C]pyruvate MRI in the Human Brain and Kidneys |
| Xiaoxi Liu1, Di Cui1, Duan Xu1, Robert Bok1, Zhen J. Wang1, Daniel B Vigneron1,2, Peder E.Z. Larson1,2, and Jeremy W. Gordon1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, San Francisco, CA, United States |
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Keywords: Quantitative Imaging, Hyperpolarized MR (Non-Gas) We present dynamic T2* measurements for HP [1-13C]pyruvate and metabolites in a healthy human brain volunteer and two RCC patients at 3T. The T2* of pyruvate was shown to vary during the acquisition, whereas the T2* of lactate and bicarbonate was constant through time and across organs. The T2* of lactate was constant at gray matter (30.1±5.9ms), white matter (33.8±7.6ms), healthy kidney (38.94±6.9ms) and tumor (33.27±6.4ms), and the T2* of bicarbonate over whole-brain (109.5±12.8ms) and kidney (64.6±15.8ms). These relaxometry measurements will be useful for future sequence optimization and can be included in kinetic modeling to harmonize data across different TEs. |
| 0668 | 16:17
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Accurate B1 Mapping with Actual Flip Angle Imaging (AFI) in the Presence of Fat |
| Alexey Samsonov1, Julia Velikina2, and Vasily Yarnykh3 | ||
1Radiology, University of Wisconsin, Middleton, WI, United States, 2Radiology, University of Wisconsin, Madison, WI, United States, 3University of Washington, Seattle, WA, United States |
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Keywords: Quantitative Imaging, Artifacts, B1 mapping; quantitative; parameter mapping Actual Flip angle Imaging (AFI) is an efficient B1 mapping method requiring the proper spoiling of transverse magnetization. Optimal spoiling can be achieved using large spoiling gradients enabling water diffusion-based signal decay. However, spoiling the non-aqueous signal like from fat is typically ignored in AFI optimizations. We demonstrate that infinitesimal diffusion in the fat signal makes fat spoiling in AFI unachievable in the reasonable scan time and that incomplete fat spoiling is a major source of previously unexplained AFI errors. We propose method to minimize them using a superposition model of the spoiling artifacts and chemical shift encoded fat/water separation. |
| 0669 | 16:25
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Golden-angle radial automated phase-cycled bSSFP for fat-water decomposition with SPARCQ: validation in a custom phantom and in vivo |
| Adèle L.C. Mackowiak1,2,3, Jérôme Yerly1,4, Katarzyna Pierzchala5, Eva S. Peper2,3, Giulia M.C. Rossi1, and Jessica A.M. Bastiaansen2,3 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), University of Bern, Bern, Switzerland, 3Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Laboratory of Functional and Metabolic Imaging, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland |
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Keywords: Quantitative Imaging, Fat, phase-cycled bSSFP, fat fraction mapping, radial The Signal Profiles Asymmetries for Robust multi-Compartment Quantification (SPARCQ) framework uses the off-resonance information encoded in phase-cycled bSSFP (PC-bSSFP) data to estimate fat fraction (FF). In order to strengthen previous validation work as well as open the range of applicability of the technique, in this work a 2D radial bSSFP sequence with integrated automated phase-cycling was designed and the accuracy of SPARCQ was tested in vitro on a larger FF range than previously reported. Comparisons to reference methods and sampling schemes indicate that the proposed automated 2D radial sampling scheme allows accurate FF mapping with SPARCQ while improving scan efficiency. |
| 0670 | 16:33
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Free-Breathing, Confounder-Corrected, 3D T1 Mapping of the Liver through Simultaneous Estimation of T1, PDFF, R2* and B1+ |
| Yavuz Muslu1,2, Ty A. Cashen3, Sagar Mandava4, Diego Hernando2,5, and Scott B. Reeder1,2,5,6,7 | ||
1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Global MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 4Global MR Applications and Workflow, GE Healthcare, Atlanta, GA, United States, 5Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Quantitative Imaging, Liver, Multi-Contrast T1 relaxation is emerging as a biomarker for the diagnosis and staging of chronic liver disease. Modified Look-Locker Inversion Recovery (MOLLI) is widely used in clinical practice for abdominal T1 mapping; however, current methods are not corrected for fat and B1 inhomogeneities as confounding factors and fail to provide reliable T1 measurements. In this work, we propose a novel, free-breathing, confounder-corrected T1 mapping method over the entire liver, by combining inversion recovery and chemical shift encoding imaging for simultaneous estimation of T1, PDFF, R2* and B1+. |
| 0671 | 16:41
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Improved T1 and T2 mapping in 3D-QALAS using temporal subspaces and Cramer-Rao-bound flip angle optimization enabled by auto-differentiation |
| Yamin Arefeen1, Yohan Jun2,3, Borjan Gagoski4, Berkin Bilgic2,3, and Elfar Adalsteinsson1,5,6 | ||
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Department of Radiology, Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Department of Radiology, Boston Children's Hospital, Boston, MA, United States, 5Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Quantitative Imaging, Pulse Sequence Design 3D-QALAS utilizes an interleaved Look-Locker acquisition with T2-preparation pulses for full brain quantification of T1 and T2. The sequence applies constant flip-angles and suffers from blurring due to k-space modulation from signal evolution during the lengthy echo-train. This abstract improves 3D-QALAS by (1) resolving the full temporal signal with subspace reconstructions to eliminate blurring, (2) optimizing acquisition flip angles with the Cramer-Rao-Bound using simulations compatible with auto-differentiation, and (3) decreasing the number of acquisitions within a repetition time, which could enable up to 40% reduced scan time. Simulation, phantom, and in-vivo results demonstrate the efficacy of the proposed sequence improvements. |
| 0672 | 16:49
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High-resolution three-dimensional MR-STAT for musculoskeletal applications |
| Hongyan Liu1, Oscar van der Heide1, Edwin Versteeg1, Miha Fuderer1, Fei Xu1, Martijn Froeling2, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1 | ||
1Computational Imaging Group, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, Imaging Division, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Quantitative Imaging, Quantitative Imaging MR-STAT is a framework for simultaneously acquiring multi-parametric quantitative maps from one single short scan. In this work, we design a new 3D MR-STAT sequence and the corresponding two-step reconstruction strategy based on previous work. The framework is improved by designing a faster acquisition framework, and more accurate signal modeling for reconstruction. The proposed sequence takes 7 minutes after retrospectively undersampling, and is validated in a phantom experiment. Furthermore, we apply this 3D MR-STAT sequence the first time for musculoskeletal applications. Knee and lower-leg experiments of healthy volunteers are shown here. |
| 0673 | 16:57
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Influence of gadolinium, field-strength and sequence on quantified perfusion values in phase-resolved functional lung MRI |
| Julian Glandorf1,2, Fynn Brunzema1,2, Filip Klimes1,2, Lea Behrendt1,2, Andreas Voskrebenzev1,2, Marcel Gutberlet1,2, Robert Grimm3, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Centre for Lung Research (DZL), Hannover, Germany, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Quantitative Imaging, Perfusion, Lung The aim of this study is the evaluation of the influences of previously applied gadolinium-based contrast media, differing field strength and differing imaging sequence on the lately proposed perfusion quantification for PREFUL MRI. The results indicate severe alterations and distortions of the quantified perfusion parameters after gadolinium administration and depending on the field strength and on the applied sequence type. The results show, that future multicenter studies need to strictly adhere to an identical imaging protocol using the same field strengths to generate comparable results across all sites. |
| 0674 | 17:05
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Quantifying Free-breathing Murine Tracheal Dynamics Using Retrospectively-Gated Ultra-short Echo-time (UTE) in MRI |
| Qing Wang1, Qiwei Xiao1, Elizabeth M. Fugate2, Matthew M. Willmering1, Dianna M. Lindquist2, Nana S. Higano1,2,3, Alister J. Bates1,2,3,4, and Zackary I. Cleveland1,2,3,4 | ||
1Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Pediatrics, University of Cincinnati, Cincinnati, OH, United States, 4Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States |
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Keywords: Quantitative Imaging, Preclinical, Ultra-short Echo-time (UTE), trachea The trachea expands and retracts almost uniformly while breathing, but these dynamics are altered by congenital malformation and injury to tracheal cartilage. Tracheal collapse—tracheomalacia—is a common comorbidity in of disorders, including bronchopulmonary dysplasia (BPD), idiopathic pulmonary fibrosis (IPF) and cystic fibrosis (CF) and can cause life-threatening airway obstruction. While tracheomalacia is clinically diagnosed via bronchoscopy, no tool exists to noninvasively assess tracheal dynamics in small animal models. Here we use retrospectively gated, 3D UTE to resolve changes in tracheal caliber during tidal breathing and show these dynamics change as a function of tracheal position and breathing rate. |
| 0675 | 17:13
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Accelerated T2 Mapping with GS-Assisted Deep Translation of T1W Image Prior |
| Ruihao Liu1,2, Yudu Li2,3, Rong Guo2,4, Yibo Zhao2,5, Ziyu Meng1, Huixiang Zhuang1, Tianyao Wang6, Yao Li1, Yiping P. Du1, and Zhi-Pei Liang2,5 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Radiology Department, The Fifth People's Hospital of Shanghai, Shanghai, China |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence, T2 mapping Deep learning (DL)-based methods have shown great potential for accelerating T2W imaging by using image prior generated from a companion T1W image. However, quantitative T2 mapping requires multiple T2W images acquired with multi-TE, creating practical problem for the use of DL for accelerated T2 mapping due to insufficient multi-TE training data. This work addresses this problem by using a generalized series model to map a T2W DL prior for one TE to multiple TEs, enabling effective use of T1W image prior for high-quality T2 mapping from sparsely sampled data. The method has been validated using experimental data, producing impressive results. |
| 0676
|
17:21
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Widening access and increasing value to fetal MRI with a clinical 20min low-field 0.55T fetal exam in 40 participants |
| Jordina Aviles Verdera1,2, Lisa Story1,3, Megan Hall1,3, Tom Finck1,4, Alexia Egloff1,5, Shaihan Malik1,2, Mary A Rutherford1,2, Joseph V Hajnal 1,2, Raphael Tomi-Tricot1,2,6, and Jana Hutter1,2 | ||
1Center for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 3Women's Health, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom, 4Department for Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar Muenchen, Munich, Germany, 5Radiology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom, 6MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Keywords: Quantitative Imaging, Fetus Comprehensive anatomical and functional fetal examination at low field (0.55T) MRI, obtained using a 20min protocol in 40 pregnant women demonstrates high quality data suitable for quantitative analysis both for anatomical radiological values and for functional T2* and diffusion values, all in-line with previously reported higher field values. It opens novel avenues and widens access to fetal MRI to new groups such as the fast growing fraction of obese and overweight pregnant women, in whom comprehensive assessment by screening ultrasound may be difficult. |
| 0677 | 17:29
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Evaluating Echo Planar Spectroscopic Imaging with a Columnar Excitation for "Virtual Biopsies" |
| Michael S Yao1,2, Andrew Van3,4, James Gee2, Murray Grossman5, David J Irwin5,6, and M Dylan Tisdall2 | ||
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States, 4Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, United States, 5Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 6Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging The acquisition of high-resolution quantitative measurements is of particular interest in studying the laminar structure and layer-specific pathology in the cerebral cortex. In this work, we propose a method to address this need by acquiring 1-D echo planar spectroscopic imaging (EPSI) as a "virtual biopsy" with 200 µm resolution along the readout direction. Our sequence yields expected spectra for common compounds and produces high-quality quantitative T2* and off-resonance measurements in ex vivo brain tissue. Our goal is to use this quantitative virtual biopsy to discriminate laminar variations in cortical iron deposition in diseases such as frontotemporal lobar degeneration (FTLD). |
| 0678
|
17:37
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Rapid 3D T1 Mapping Using Deep Learning-Assisted Look-Locker Inversion Recovery MRI |
| Haoyang Pei1,2, Ding Xia1, Xiang Xu1, Yang Yang1,3, Yao Wang2, Fang Liu4, and Li Feng1 | ||
1Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, NY, United States, 3Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging Look-Locker inversion recovery (LLIR) imaging is an easy, accurate and reliable MRI method for T1 mapping. For 3D acquisition, LLIR imaging is usually performed with multiple repetitions, and additional idle time is placed between consecutive receptions. This idle time allows for signal recovery to improve SNR and ensures robustness to B1 inhomogeneity, but it also prolongs scan time. Simply eliminating the idle time reduces the accuracy of T1 quantification. In this work, a novel deep-learning approach was proposed to address this challenge, so that accurate 3D T1 maps can be generated from continuous 3D LLIR imaging without idle time. |
| 0679 | 15:45
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Frequency-dependent diffusion-relaxation multidimensional MRI of the human brain |
| Jessica TE Johnson1, Thomas J Ross2, Yihong Yang2, Daniel Topgaard3, and Dan Benjamini1 | ||
1National Institute on Aging, Baltimore, MD, United States, 2National Institute on Drug Abuse, Baltimore, MD, United States, 3Lund University, Lund, Sweden |
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Keywords: Microstructure, Diffusion/other diffusion imaging techniques Using an integrative acquisition and processing pipeline that joins concepts from oscillating gradients, tensor-valued encoding, and diffusion-relaxation correlation, we comprehensively explored microstructure and local chemical composition in the human brain. Using both frequency-dependent and tensorial aspects of the encoding spectrum b(ω), we designed an in vivo, whole brain, 40-min 7D D(ω)-R1-R2 distribution acquisition protocol at 2mm isotropic resolution. Scanning eleven healthy participants, we demonstrated frequency/time-dependent changes of diffusion-relaxation correlations measures in the human brain. Finally, intra-scan test–retest repeatability of a range of reconstructed parametric maps was investigated. |
| 0680 | 15:53
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COnstrained Reference frame diffusion TEnsor Correlation Spectroscopic (CORTECS) MRI |
| Alexandru V Avram1,2,3, Kadharbatcha Saleem1, and Peter J Basser1 | ||
1Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, 2Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States, 3Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, United States |
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Keywords: Diffusion/other diffusion imaging techniques, Microstructure, diffusion tensor distribution, DTD, gray matter, cortical layers, DTI We propose a practical new framework for mapping non-parametric diffusion tensor distributions (DTDs). For diffusion MRI data with sufficiently high spatial resolution, we can constrain all microscopic diffusion tensors of the DTD to be diagonalized using a single orthonormal reference frame estimated from the entire mesoscopic voxel. The constrained DTD is determined by the correlation spectrum of the corresponding microscopic principal diffusivities and can be measured very efficiently using Inverse Laplace Transform methods and single diffusion encoded measurements. cDTD spectral components measured in cortical tissue show good sensitivity to cytoarchitectonic domains and reveal lamination patterns observed in corresponding histological images. |
| 0681 | 16:01
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Localization Regime of Diffusion (LoRD) in mouse and pig cortical gray matter and its sensitivity to soma size |
| Hong-Hsi Lee1,2, Nian Wang3,4, Els Fieremans5, Susie Y Huang1,2, and Dmitry S Novikov5 | ||
1Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 4Stark Neurosciences Research Institute, Indianapolis, IN, United States, 5Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States |
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Keywords: Microstructure, Gray Matter It is non-trivial to decompose the diffusion MRI signal, as conventionally measured using relatively weak gradients, into contributions from multiple compartments and estimate the cell sizes. Instead, using strong diffusion gradients, a universal compartment-independent localization regime emerges, as they saturate all magnetization except that near cell membranes. The signal sensitivity to the membrane and its surface-to-volume ratio enables the soma size estimation without modeling multiple compartments. Here, we observed the unique functional form of localization regime and estimate the soma size in mouse and pig brains cortical gray matter on a Bruker CryoProbe system. |
| 0682 | 16:09
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Using diffusion-relaxation MRI to estimate the inner radius of co-electrospun axon-mimicking fibres |
| Erick Jorge Canales-Rodríguez1,2, Marco Pizzolato2,3, Feng-Lei Zhou4, Muhamed Barakovic5,6,7, Jean- Philippe Thiran1,8,9, Derek K. K. Jones10, Geoffrey J.M. Parker4,11,12, and Tim B. Dyrby2,3 | ||
1Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager & Hvidovre, Copenhagen, Denmark, 3Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens, Lyngby, Denmark, 4Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering , University College London, London, United Kingdom, 5Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 6MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 7Roche Pharma Research & Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, Basel, Switzerland, 8Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 9Centre d’Imagerie Biomédicale (CIBM), EPFL, Lausanne, Switzerland, 10Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, Wales, United Kingdom, 11Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, United Kingdom, 12Bioxydyn Limited, Manchester, United Kingdom |
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Keywords: Diffusion/other diffusion imaging techniques, Validation A new approach for estimating inner axon radii from intra-axonal T2 relaxation times was recently proposed. However, further validations are required before this technique can be used widely. The main aim of this study is to validate this T2-based pore size estimation technique in phantoms comprising co-electrospun hollow axon-mimicking fibres designed to have non-circular cross-sections and different radii distributions. For this purpose, a diffusion-relaxation MRI dataset was acquired with a 7T preclinical scanner, from which the intra-fibre T2 times and pore sizes were estimated. The resulting pore sizes were compared to those measured from Scanning Electron Microscope images. |
| 0683
|
16:17
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Probing lactate exchange in Gray Matter via time-dependent DW-MRS |
| Eloïse Mougel1, Sophie Malaquin1, Marco Palombo2,3, and Julien Valette1 | ||
1Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-roses, France, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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Keywords: Microstructure, Diffusion/other diffusion imaging techniques Time-dependent DW-MRS can probe the underlying tissue microstructure. However, it has been previously shown that time-dependent apparent diffusivity and apparent kurtosis exhibit different behaviors for water and intracellular metabolite. These differences may be largely explained by exchange between intra- and extracellular spaces occurring for water. The aim of this work is to measure time-dependent diffusion of lactate which, like water, is present in and exchanges between both compartments, but for which the exchange rate is unknown. Comparison with water and intracellular metabolites indicates that lactate exchange is slow (relative to the probed diffusion times up to 500 ms). |
| 0684 | 16:25
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Exchange between structurally-disordered compartments |
| Dmitry S Novikov1, Ricardo Coronado-Leija1, and Els Fieremans1 | ||
1Radiology, NYU School of Medicine, New York, NY, United States |
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Keywords: Microstructure, Modelling, exchange, diffusion, structural disorder Which signatures of the diffusion signal are responsible for non-Gaussian diffusion inside cells or extra-cellular space, and which ones are the hallmark of the exchange between compartments? Answering this unresolved question is vital for mapping tissue microstructure in brain (especially in gray matter) and body. Here we employ the effective medium formalism to extend the multi-site exchange approach onto the case when diffusion in each tissue compartment is arbitrarily complex. We find the time-dependent diffusivity and kurtosis of a general system of exchanging non-Gaussian compartments for all times, validate with Monte Carlo simulations, and discuss practical implications. |
| 0685
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16:33
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Quantifying human gray matter microstructure using NEXI and 300 mT/m gradients |
| Quentin Uhl1, Tommaso Pavan1, Malwina Molendowska2, Derek K Jones2, Marco Palombo2, and Ileana Jelescu1 | ||
1Dept. of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2CUBRIC, Cardiff University, Cardiff, United Kingdom |
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Keywords: Microstructure, Modelling For the first time, we report Neurite Exchange Imaging (NEXI) microstructure model parameters estimates in human cortex in vivo. We also investigate the performance of two extensions of this model, the addition of a dot compartment and a correction for wide pulses. Parameter estimates are consistent with previous findings in the rat cortex in vivo. Importantly, NEXI estimates displayed good scan-rescan reproducibility while retaining sensitivity to inter-subject differences. Future work will focus on improving the precision, in particular of the exchange time estimates, possibly leveraging multi-dimensional diffusion MRI acquisitions. |
| 0686 | 16:41
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Exchange-driven Microscopic Kurtosis in Correlation Tensor MRI |
| Sune Nørhøj Jespersen1,2, Rita Alves3, Jonas Olesen1,2, Rafael Neto Henriques3, and Noam Shemesh3 | ||
1Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark, 2Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 3Champalimaud Research, Champalimaud Foundation, Lisboa, Portugal |
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Keywords: Microstructure, Microstructure Correlation Tensor MRI (CTI) provided strong evidence for non-vanishing microscopic kurtosis (µK) in neural tissues, both in animals and in humans. However, µK sources remain to be elucidated. Standard Model with Exchange (SMEX) contrasts have been recently proposed by Olesen et al. for mapping exchange properties, especially in gray matter. Here, we derive an expression for µK originating from the SMEX biophysical model due to exchange, and in a model of stroke compare µK derived from SMEX to µK measured with CTI. Our findings suggest that µK(CTI)>µK(SMEX), suggesting a degree of microstructural origin for the CTI contrast. |
| 0687 | 16:49
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Diffusional exchange versus microscopic kurtosis from CTI: Two conflicting interpretations of the same data |
| Arthur Chakwizira1, Filip Szczepankiewicz1, and Markus Nilsson2 | ||
1Medical Radiation Physics, Lund, Lund University, Lund, Sweden, 2Clinical Sciences Lund, Lund University, Lund, Sweden |
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Keywords: Diffusion/other diffusion imaging techniques, Microstructure Correlation tensor magnetic resonance imaging (CTI) is a recently proposed technique that uses diffusion MRI with double diffusion encoding to disentangle microscopic from isotropic and anisotropic kurtosis. One assumption of the method is that intercompartmental exchange is negligible. Another approach that assumes multi-Gaussian exchange (MGE) can also be applied to data acquired with a CTI protocol, but it interprets the contrast as exchange rather than microscopic kurtosis. Using Monte Carlo simulations in substrates of permeable spheres, cylinders and ellipsoids, we observe that both the CTI parameter μK and the estimated exchange rate from MGE increase with the underlying exchange rate. |
| 0688 | 16:57
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3D diffusion MRI with twin-navigator-based GRASE for cortical gray matter time-dependency measurements in the human brain |
| Haotian Li1, Qinfeng Zhu1, Yi-Cheng Hsu2, Yi Sun2, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Siemens Healthineers Ltd, Hangzhou, China |
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Keywords: Diffusion/other diffusion imaging techniques, Brain 3D oscillating gradient sequences enable diffusion measurement at short diffusion-time (td), but it suffered from low resolution and low SNR in clinical systems, and thus, the td-dependency in complex structures, such as cortical gray matter, was not characterized. Here we proposed a twin-navigator-based 3D oscillating gradient diffusion-weighted gradient spin-echo sequence for high-resolution whole-brain td–dMRI acquisition. We demonstrated that different cortical regions exhibited distinct td-dependency patterns with different diffusion dispersion exponent (θ) based on the power-law. We found θ was greater than 0.5 with the highest dispersion in the pre- and post-central cortex and lowest value in the frontal region. |
| 0689 | 17:05
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Measuring time-dependent diffusion on a high-performance head-only gradient system at 3T: influence and correction of gradient nonlinearity |
| Erpeng Dai1, Ante Zhu2, Grant Yang1,3, Kristin Quah1,3, Ek T Tan4, Eric Fiveland2, Thomas K Foo2, and Jennifer A McNab1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2GE Research, Niskayuna, NY, United States, 3Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 4Department of Radiology and Imaging, Hospital For Special Surgery, New York, NY, United States |
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Keywords: Microstructure, Diffusion/other diffusion imaging techniques Oscillating gradient spin echo (OGSE) sequence is an effective approach to measure time-dependent diffusion processes at short diffusion times. High-performance, head-only gradient systems open new opportunities for using OGSE to study time-dependent diffusion with both high b-values and oscillating frequencies, such as diffusion kurtosis imaging (DKI). One source of error that can be more problematic for the head-only gradients is gradient nonlinearity (GNL). Here, we measure the time dependence of diffusion tensor imaging (DTI)/DKI in human brains with OGSE on a head-only MAGNUS gradient and investigate the influence of GNL on the time dependence measures of diffusivity/kurtosis. |
| 0690 | 17:13
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High-SNR whole-brain microstructure diffusion MRI using Romer-EPTI |
| Fuyixue Wang1,2, Zijing Dong1,2, Hong-Hsi Lee1,2, Susie Y. Huang1,2,3, Jonathan R. Polimeni1,2,3, and Lawrence L. Wald1,2,3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Charlestown, MA, United States, 3Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States |
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Keywords: Diffusion/other diffusion imaging techniques, Microstructure Diffusion MRI is a widely-used non-invasive imaging method for studying tissue microstructure but often suffers from low signal-to-noise ratios when using high b values. Here, we present a diffusion MRI acquisition technique that can achieve significantly higher SNR efficiency while providing distortion-free high-quality images. It achieves high robustness to phase variations and motion and provides an efficient acquisition technique for microstructural diffusion imaging. Ultra-high b-value and time-dependent experiments were performed to evaluate the improved SNR efficiency of Romer-EPTI. |
| 0691 | 17:21
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Detecting temperature-driven microstructural modulations in tissue using diffusion MRI |
| Jelle Veraart1, Daniel Nunes2, and Noam Shemesh2 | ||
1Center for Biomedical Imaging, Dept. Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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Keywords: Diffusion/other diffusion imaging techniques, Microstructure In this study, we uncover that the signal fraction of a fully restricted diffusion compartment in fixed white matter tissue, the so-called dot fraction, is dependent on the tissue temperature. In particular, we report a sudden increase in its nominal value of this fraction when the tissue temperature drops below approximately 32°C. The underlying mechanism remains unexplained, but its impact on modeling of ex vivo diffusion MRI cannot be underestimated. The observation corroborates our hypotheses of a temperature-dependent disruption of the multilamellar structure of the myelin sheath, leading to water trapped in vacuoles that are formed in the myelin sheath. |
| 0692 | 17:29
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Towards whole-brain, quantitative characterisation of microscopy-derived microstructure in the BigMac dataset |
| Amy FD Howard1, Istvan N Huszar1, Silei Zhu1, Daniel ZL Kor1, Lea Roumazeilles2, Saad Jbabdi1, and Karla L Miller1 | ||
1Wellcome Centre for Integrative Neuroimaging (FMRIB Centre), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom |
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Keywords: Validation, Diffusion/other diffusion imaging techniques, Microstructure characterisation, microscopy The BigMac dataset is an open access resource combining in vivo MRI, postmortem MRI and multi-contrast microscopy data in a single, whole macaque brain. Here we perform data-driven segmentation of the BigMac histology slides to extract quantitative microscopy metrics for myelin, cell density, and cellular morphology (e.g. soma size and packing). Utilising high-quality MRI-microscopy registrations, we work towards building 3D volumes of quantitative microscopy derived metrics obtained at high resolution. This “ground truth” atlas of how cellular distributions vary across the brain is then directly related to co-registered diffusion MRI acquired in the same tissue. |
| 0693 | 17:37
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Establishing a Correlation between Diffusion Heterogeneity and Tissue Structural Heterogeneity Using Stereotactic Biopsies on Brain Tumors |
| Muge Karaman1, Stefania Maraka1, Tibor Valyi-Nagy1, Syed Khalid1, Konstantin Slavin1, Gursant Atwal1, Ahmad Daher1, Guangyu Dan1, Alessandro Scotti1, Dan Schonfeld1, and X. Joe Zhou1 | ||
1University of Illinois College of Medicine at Chicago, Chicago, IL, United States |
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Keywords: Diffusion/other diffusion imaging techniques, Brain, Tissue heterogeneity Non-Gaussian diffusion MRI with a continuous-time random-walk (CTRW) model offers a unique avenue to probing tissue microstructural heterogeneity. The CTRW parameters, α and β, corresponding to temporal and spatial intravoxel diffusion heterogeneities, have empirically been linked to tumor tissue heterogeneity in clinical studies. This study aims at directly establishing the correlation between the CTRW parameters from patients suspected of glioma and tissue microstructural heterogeneity revealed by histology on stereotactic brain biopsies. We developed a practical protocol that integrates quantitative imaging techniques and surgical procedures to perform MR-histology correlation, and demonstrated that lower CTRW parameters correspond to increased tissue microstructural heterogeneity. |
| 0694
|
Pitch: 15:45 Poster: 15:45 Screen 1
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Highly Resilient 3D Aortic Hemodynamics derived directly from Aortic Geometry using AI |
| Haben Berhane1, Anthony Maroun1, Mahmoud Ebrahimkhani1, Ulas Bagci1, Bradley Allen1, and Michael Markl1 | ||
1Radiology, Northwestern University, Chicago, IL, United States |
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Keywords: Flow, Velocity & Flow, CFD Aortic hemodynamic quantifications are vital for patient management. While 4D Flow MRI provides comprehensive aortic hemodynamics, it is hampered by long-acquisition times and cumbersome pre-processing. In this study, we developed an AI for the prediction of systolic 3D blood flow velocity vector fields with 3D aortic geometry as the only input. We performed testing on 248 BAV and 104 TAV datasets, using the systolic velocity vector fields from the 4D flow MRI as the ground-truth. Generally, we saw very strong agreement between the AI and the 4D flow and resilience to geometric changes (volume, dimension) in the input segmentation. |
| 0695 | Pitch: 15:45 Poster: 15:45 Screen 2
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Highly accelerated FLEXA 3DTOF MR Angiography with iterative deep learning reconstruction |
| Naoyuki Takei1, Rafi Brada2, Sangtae Ahn3, Graeme McKinnon4, Xucheng Zhu5, Atsushi Nozaki1, Shigeo Okuda6, Masahiro Jinzaki6, and Tetsuya Wakayama1 | ||
1GE Healthcare, Tokyo, Japan, 2GE Research, Herzliya, Israel, 3GE Research, Niskayuna, NY, United States, 4GE Healthcare, Waukesha, WI, United States, 5GE Healthcare, Menlo Park, CA, United States, 6Keio University School of Medicine, Tokyo, Japan |
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Keywords: Vessels, Machine Learning/Artificial Intelligence Rapid non-contrast MRA of supra-aortic arteries is necessary to select proper patient for endovascular therapy (EVT) as EVT has become the predominant therapy of acute ischemic stroke. However, conventional 3DTOF has long scan time of 6-7 minutes to cover the entire carotid artery. A highly accelerated MRA with iterative deep learning reconstruction was developed to provide the wide scan coverage and less motion sensitivity within 1 minute. We evaluated the technique with prospectively and retrospectively undersampled data demonstrating high-quality vessel visualization and improved acquisition efficiency at 8x acceleration. |
| 0696 | Pitch: 15:45 Poster: 15:45 Screen 3
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One-minute 3D ky-kz Centric FFE Thoracic Aorta Imaging with Real-Time Motion-Correction and High-Resolution Deep Learning Reconstruction |
| Hideki Ota1, Satoshi Higuchi1, Yoshiaki Morita2, Takashi Nishina3, Sho Tanaka3, Yuichi Yamashita3, Yoshimori Kassai3, Tasuo Nagasaka1, Mitsue Miyazaki4, and Kei Takase1 | ||
1Tohoku University Hospital, Sendai, Japan, 2National Cardiovascular Research Center, Osaka, Japan, 3Canon Medical Systems, Otawara, Japan, 4University of California, San Diego, San Diego, CA, United States |
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Keywords: Vessels, Vessels, workflow, deep learning reconstruction Efficiency of 3D ky-kz centric fast field echo (FFE) acquisition was acquired using 100% efficiency of real-time motion correction in the sagittal oblique acquisition and compared with conventional 3D FFE acquisition. The thoracic aorta was acquired within 1 minute using centric ky-kz FFE and reconstructed with high-resolution deep learning reconstruction (HR-DLR), providing good image quality. Regular FFE with conventional reconstruction provides fair image quality with prominent noise and artifacts. |
| 0697 | Pitch: 15:45 Poster: 15:45 Screen 4
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Fully Automated Segmentation of Brain and Scalp Blood Vessels on Multi-Parametric Magnetic Resonance Imaging Using Multi-view Cascaded Network |
| Yang Yang1, songxiong wu2, Bingsheng Huang3, Ping Zeng2, Mingyu Wang4, and Zilong Huang4 | ||
1Department of Radiology, Suining Central Hospital, Suining, China, 2Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, shenzhen, China, 3Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China, 4Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, shenzhen, China |
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Keywords: Vessels, Blood, brain blood vessel segmentation,Multi-Parametric,Multi-view Accurate segmentation of blood vessels allow neurosurgical navigation and can help neurosurgeons accurate surgical and treatment plans. However, traditional blood vessel segmentation methods based on thresholds have limited performance. To solve problem, we proposed a cascaded DL network (MVPC-Net) that combines three refinements: multi-view learning, multi-parameter input, and a multi-view ensemble module-based strategy. The results of ablation experiments showed that, by adding all the refinements proposed, the performance of the baseline model improved from Dice similarity coefficient 0.865 to 0.922. Thus, our method can provide better segmentation of the brain, and scalp blood vessels and has potential for clinical application. |
| 0698 | Pitch: 15:45 Poster: 15:45 Screen 5
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Denoising 4D-Flow using Self-Supervised Deep Learning and its effect on test-rest reproducibility |
| Brock W Jolicoeur1, Leonardo A Rivera-Rivera1, Grant S Roberts1, Laura Eisenmenger2, and Kevin M Johnson1 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Flow, Blood vessels, Machine Learning/Artificial Intelligence Through a self-supervised deep learning denoising algorithm, more precise cerebrovascular measurements of flow, maximum fluid velocity, and vessel cross-sectional area were obtained from undersampled neurovascular 4D-Flow MRI data. This algorithm was applied to back-to-back scans to illustrate its effectiveness in reducing measurement variance. |
| 0699 | Pitch: 15:45 Poster: 15:45 Screen 6
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Large vessel occlusion detection on TOF images using deep learning |
| Zakarya BENTATOU1, Timothé BOUTELIER1, Anais BERNARD1, and Henitsoa RASOANANDRIANINA1 | ||
1OLEA MEDICAL, La Ciotat, France |
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Keywords: Stroke, Machine Learning/Artificial Intelligence, Large vessel occlusion, TOF, MR angiography Large vessel occlusion (LVO) in stroke patients is mostly detected using deep-learning-based automated methods on CT angiography but there has been no report on such methods using time-of-flight magnetic resonance angiography (TOF-MRA). Our study includes 460 stroke patients with 230 LVO-positive cases. The first step was vessel segmentation, and the output mask was used for the LVO detection. Both steps were deep-learning based using TOF-MRA. Our model successfully detected 95% LVO-positive and 92% LVO-negative patients. The high detection rate and short processing time (< 60 seconds) suggested that our model is highly adequate in a clinical emergency context. |
| 0700 | Pitch: 15:45 Poster: 15:45 Screen 7
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Machine learning-based prediction of stroke outcome in mice from MRI and behavioral testing |
| Philipp Boehm-Sturm1,2,3, Felix Knab1,2, Stefan Paul Koch1,2,3, Sebastian Major1,2, Tracy D. Farr1,2,3,4, Susanne Mueller1,2,3, Philipp Euskirchen1, Moritz Eggers1,2, Melanie Kuffner1,2, Josefine Walter1,2,5, Jens P. Dreier1,2,6,7, Matthias Endres1,2,6,8,9,10, Ulrich Dirnagl1,2,6,8,9,10, Nikolaus Wenger1,2,6,11, Christian J. Hoffmann1,2,11, and Christoph Harms1,2,6,8,9 | ||
1Klinik und Hochschulambulanz für Neurologie, Department of Experimental Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany, 2Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany, 3NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité-Universitätsmedizin Berlin, Berlin, Germany, 4School of Life Sciences, University of Nottingham, Berlin, Germany, 5QUEST Center for Transforming Biomedical Research, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany, 6Einstein Center for Neuroscience, Berlin, Germany, 7Bernstein Center for Computational Neuroscience, Berlin, Germany, 8German Center for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany, 9NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany, 10German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany, 11Berlin Institute of Health (BIH), Berlin, Germany |
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Keywords: Stroke, Animals, Machine learning, Mice, MCAO Prediction of motor-functional outcome in mice could potentially guide researchers in their treatment decisions in preclinical stroke intervention studies and support outcome-dependent stratifications. We pooled 13 studies in which mice underwent identical MRI and behavioral testing protocols. In this large cohort of mice (n=148), we developed and compared machine learning-based predictors of post-stroke recovery. |
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Identification of high-risk basilar artery plaque with HR-VWI-based radiomics and machine learning |
| Juan Bai1, Jiang Wu1, Ning Li1, Xuan Li1, and Kaiyu Wang2 | ||
1Shanxi Cardiovascular Hospital, Taiyuan, China, 2MR Research China,GE Healthcare, Beijing, China |
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Keywords: Blood vessels, Atherosclerosis, Radiomics；Machine Learning The stability of plaques is the key cause of cerebral ischemic in patients with basilar atherosclerosis. High-resolution vessel wall imaging (HR-VWI) is a useful technique for study of plaques. Radiomics are widely used in recently years to discover the radiographic information of diseases and to improve diagnostic performance. In this study, we constructed six machine learning models based on radiomics features from HR-VWI to predict the stability of plaques of the basilar artery, finding support vector machine has the best performance. |
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Deep Learning Based Algorithm to Identify Large Vessel Stenosis and Occlusion on Contrast Agent-free Magnetic Resonance Imaging |
| Di Wu1, Mengzhou Sun2, Yi Li3, Xiaoyun Liang3, Feng Huang3, and Wenzhen Zhu1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Neusoft Medical Systems Co. Ltd, Shenyang, Liaoning, China, Beijing, China, 3Neusoft Medical Systems Co. Ltd, Shenyang, Liaoning, China, Shanghai, China |
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Keywords: Stroke, Machine Learning/Artificial Intelligence Large vessel occlusion detection based on clinical scales is of low sensitivity and that based on CTA needs contrast agent exposure. This study aims to develop a deep learning (DL) algorithm for detecting intracranial large vessel steno-occlusion on contrast agent-free MR techniques including DWI and ASL. The accuracy of the DL algorithm was 88.2% with a sensitivity of 88.0%, comparable to CTA-based DL algorithms with sensitivity ranging from 67% to 94%. The MR-based DL algorithm is feasible to accurately detect intracranial large vessel steno-occlusion without intervention, radiation exposure and contrast agent, which could optimize stroke workflow and guide clinical decision-making. |
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High Resolution TOF-MRA Using SmartSpeed-AI for the Visualization of Lenticulostriate Arteries at 3.0 T: a Preliminary Study |
| Yuya Hirano1, Noriyuki Fujima2, Kinya Ishizaka1, Takuya Aoike1, Jihun Kwon3, Masami Yoneyama3, and Kohsuke Kudo4,5 | ||
1Department of Radiological Technology, Hokkaido University Hospital, Sappro, Japan, 2Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 3Philips Japan, Ltd, Tokyo, Japan, 4Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Japan, 5Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sappro, Japan |
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Keywords: Blood vessels, Image Reconstruction SmartSpeed-AI is recently introduced as a physics driven type deep learning-based novel image reconstruction technique. We investigated the utility of SmartSpeed-AI for the better visibility of lenticulostriate artery (LSA) in high spatial resolution TOF-MRA by comparing the compressed-sensing sensitivity-encoding (compressed SENSE) algorithm. Both quantitative and qualitative assessment revealed that the visibility of LSAs were significantly higher under the SmartSpeed-AI reconstruction than compressed SENSE. SmartSpeed-AI can be helpful to provide superb image quality for the depiction of small arteries like LSA in high resolution TOF-MRA. |
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Super-resolution neural network-driven mouse cerebrovascular mapping with MION-based MRI |
| Xiaoqing Alice Zhou1, David Hike1, Bei Zhang1, Zeping Xie1, Xiaochen Liu1, Matthew S Rosen1, Juan Eugenio Iglesias1,2,3, and Xin Yu*1 | ||
1Massachusetts General Hospital, Boston, MA, United States, 2University College London, London, United Kingdom, 3Massachusetts Institute of Technology, Boston, MA, United States |
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Keywords: Blood vessels, Alzheimer's Disease High-resolution cerebrovascular mapping is crucial for the understanding of brain function. While the existing invasive imaging modalities map brain vasculature at the microscopic scale, they are mostly restricted to the cortical surface in small animals. The non-invasive penetrating cerebrovascular mapping for larger animals remains the privilege of MRI. To achieve high spatial resolution with MRI, we trained 3D U-net to super-resolve images from 75µm to 37.5µm isotropic resolution. Our results show a significantly improved segmented micro-vessel network and offer a powerful tool to identify the anatomical distribution of the microvessels in normal and degenerative brains longitudinally. |
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Machine Learned Wave Encoded Neurovascular 4D Flow |
| Chenwei Tang1, Leonardo A Rivera-Rivera1,2, Laura B Eisenmenger3, and Kevin M Johnson1,3 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Blood vessels, Velocity & Flow Keywords: Wave Encoding, Trajectory Optimization, 4D Flow Non-Cartesian sampling is often required for 4D Flow imaging because of more efficient sampling. Due to the heuristic nature of the optimization of such trajectories, we propose to parameterize and optimize wave encoded 3D Cartesian sampling using a gradient descent algorithm in a data-driven way. We demonstrate the feasibility of our framework in learning the sampling patterns and the wave parameters and providing high image quality for highly accelerated scans in digital phantoms, phantoms and in vivo with phase contrast. |
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Deep learning-based segmentations challenge established link between stroke volume and functional outcome after thrombectomy |
| Ingrid Digernes1, Martin Soria Røvang1, Terje Nome2, Cecilie Nome3, Thor Håkon Skattør2, Brian Anthony Enriquez3, Bradley J MacIntosh1, Anne Hege Aamodt3, and Atle Bjørnerud1 | ||
1Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway, 2Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 3Department of Neurology, Oslo University Hospital, Oslo, Norway |
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Keywords: Stroke, Machine Learning/Artificial Intelligence, segmentation, functional outcome, thrombectomy Using a standard 3D nnUNET model that was pretrained to segment WMH on FLAIR, we obtained good stroke lesion segmentation accuracy (median Dice = 0.80) when the model was re-trained to segment the stroke lesion on DWI in a smaller stroke sample (N = 82). Applying the segmentation model to DWIs from 307 thrombectomy patients, we found no association between pre-treatment lesion volume and functional outcome at 90 days after thrombectomy. Our results indicate that the established assumption of lesion size being a strong predictor of functional outcome should be investigated further for patients receiving mechanical thrombectomy. |
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The Fuzzy MAD Stroke Conjecture, using Fuzzy C Means to classify Multimodal Apparent Diffusion for stroke stratification |
| Frederick C. Damen1, Changliang Su2, Thomas Anderson1, Tibor Valyi-Nagy3, Leon Tai4, Rifeng Jiang5, and Kejia Cai1,6 | ||
1Radiology, University of Illinois at Chicago, Chicago, IL, United States, 2Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 3Pathology, University of Illinois at Chicago, Chicago, IL, United States, 4Anatomy and Cell Biology, University of Illinois at Chicago, Chicago, IL, United States, 5Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 6Bioengineering, University of Illinois at Chicago, Chicago, IL, United States |
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Keywords: Stroke, Diffusion/other diffusion imaging techniques The ischemic stroke cascade is a complex menagerie of processes causing disruption of neuronal function and willful and/or reactive breakdown of the neural vascular unit (NVU), and, prevails to recovery, repair, or patient demise. To better understand the underpinnings of the stroke cascade we applied our Multimodal Apparent Diffusion (MAD) method to multi b‑value diffusion weighted magnetic resonance imaging, up to b‑value of 10K s/mm2, on 41 consecutive stroke patients. Using Fuzzy C Means we were able to discern 13 normal appearing tissue types and 16 lesion types. There are several findings that should be contemplated in current clinical imaging. |
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Prediction of Ischemic Stroke Based on Carotid Plaque VW-HRMRI Radiomics |
| Na Han1, Wanjun Hu1, Yurong Ma1, Laiyang Ma1, Yu Zheng1, Jing Zhang1, and Kai Ai2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi’an, China |
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Keywords: Stroke, Radiomics, Carotid Plaque, Vessel Wall High-Resolution MRI The study of the relationship between carotid atherosclerotic plaque and ischemic stroke must go beyond the assessment of the basic imaging characteristics of plaque or the degree of vascular stenosis, and should adopt a new model which carotid plaque imaging combined with artificial intelligence. This study established a radiomics model of carotid plaque based on vessel wall high-resolution MRI (VW-HRMRI) to accurately predict the risk of ischemic stroke. Our study showed that the radiomics_T1CE model and combined_T1CE model outperformed other models, whereas the combined model showed no significant difference with the radiomics model. |
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Self-supervised contrastive learning for MR image reconstruction of cardiac CINE on accelerated cohorts |
| Siying Xu1, Marcel Früh1, Kerstin Hammernik2,3, Sergios Gatidis1,4, and Thomas Küstner1 | ||
1Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2Lab for AI in Medcine, Technical University of Munich, Munich, Germany, 3Department of Computing, Imperial College London, London, United Kingdom, 4Max Planck Institute for Intelligent Systems, Tuebingen, Germany |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Self-Supervised Learning, Image Reconstruction, Heart Existing methods for deep-learning reconstruction require abundant fully-sampled images as labels, which is challenging or impractical in practice. To address this issue, we propose a self-supervised learning (SSL) approach that can be trained on subsampled data, avoiding the need for fully-sampled datasets. Specifically, we pre-train a feature extractor by contrastive learning as the first step. In the second step, the pre-trained feature extractor assists the self-supervised network during reconstruction by feature embedding. Results indicate that the proposed SSL method can effectively reconstruct cardiac CINE images without fully-sampled data. It outperforms existing SSL networks and shows comparable results to supervised learning. |
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Self-supervised Learning with Self-supervised Regularization Reconstruction for Accelerated Single- and Multiband Myocardial Perfusion MRI |
| Changyu Sun1,2, Kenneth Bilchick3, Michael Salerno4, and Talissa A. Altes2 | ||
1Biomedical, Biological and Chemical Engineering, University of Missouri Columbia, Columbia, MO, United States, 2Radiology, University of Missouri Columbia, Columbia, MO, United States, 3Department of Medicine, University of Virginia Health System, Charlottesville, VA, United States, 4Department of Medicine, Stanford University, Stanford, CA, United States |
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Keywords: Image Reconstruction, Heart, Self-supervised Learning Physics-guided self-supervised learning (PG-SSL) of MRI reconstruction may provide high spatiotemporal fidelity and fast reconstruction of highly accelerated first-pass myocardial perfusion MRI without ground truth. We sought to develop a SSL model with self-supervised regularization (SSR) using Siamese architecture with stop gradient and re-undersampling block to generate physics-based data augmentation and regularization. PG unrolled network was used as the sub-network in Siamese structure. Self-supervised learning with self-supervised regularization (SSLR) outperformed low rank plus sparse on retrospective rate-8 undersampling single-band data and showed improved SNR and temporal fidelity on prospective multiband whole-heart coverage high resolution perfusion imaging. |
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A unified deep learning model for simultaneous cardiac cine MRI reconstruction, motion estimation and segmentation. |
| Pengfang Qian1,2, Junwei Yang3, Zijian Zhou1,2, Peng Hu1,2, and Haikun Qi1,2 | ||
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Shanghai Clinical Research and Trial Center, Shanghai, China, 3Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence Various deep learning methods have been proposed for cardiac cine MRI, including accelerated image reconstruction, cardiac motion estimation and segmentation, which are traditionally considered as separate tasks without exploiting the inter-task correlation. In this study, we propose a unified deep learning model to perform accelerated cine image reconstruction, motion estimation and segmentation simultaneously in an iterative framework, where correlations between tasks are exploited by compensating motion in reconstruction, semi-supervising segmentation using pseudo-labels generated by motion and improving motion estimation using intermediately reconstructed images. Experiment results show that the multi-task model outperformed single-task networks. |
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Deep learning-based stroke segmentation and patient outcome prediction |
| Hae Sol Moon1, Lindsay Heffron2, Ali Mahzarnia3, Barnabas Obeng-Gyasi3, Matthew Holbrook3, Cristian T. Badea1,3, Wuwei Feng4, and Alexandra Badea1,3,4,5 | ||
1Biomedical Engineering, Duke University, Durham, NC, United States, 2Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, United States, 3Radiology, Duke University School of Medicine, Durham, NC, United States, 4Neurology, Duke University School of Medicine, Durham, NC, United States, 5Brain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC, United States |
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Keywords: Multimodal, Data Analysis, Deep learning; Segmentation; Lesion Load; Stroke We compared the ability of 2D and 3D U-Net Convolutional Neural Network (CNN) architectures to segment ischemic stroke lesions and predict patient outcome using single-contrast (DWI) and dual-contrast images (T2w FLAIR and DWI). The predicted lesion segmentation metrics and location relative to corticospinal tract correlated with post-stroke patient outcome measured by National Institutes of Health Stroke Scale (NIHSS). The 2D multi-modal CNN achieved the best results with mean Dice of 0.74. The highest correlation was for weighted-lesion load with both baseline and 90-days NIHSS (80%, p<0.001). Our results support that multi-contrast MR helps automate lesion segmentation and predict post-stroke outcomes. |
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CVT Detection with Routine Brain MRI Sequences by Multi-Modal Multi-Task Deep Learning algorithm |
| Xiaoxu Yang1, Pengxin Yu2, Haoyue Zhang2, Rongguo Zhang2, Yuehong Liu1, Xiuqin Jia1, Penghui Sun1, Xin Liu1, Xunming Ji3, Qi Yang1, and Chen Zhang4 | ||
1Beijing Chaoyang Hospital, Beijing, China, 2Infervision Medical Technology Co., Ltd, Beijing, China, Beijing, China, 3Beijing Xuanwu Hospital, Beijing, China, 4MR Scientific Marketing, Siemens Healthineers, Beijing, China, Beijing, China |
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Keywords: Stroke, Brain A deep learning algorithm for detecting cerebral venous thrombosis using routine brain MRI achieved higher patient-level sensitivity than radiologists and reduced the number of overlooked thrombosed segments. The proposed deep learning (DL) algorithm achieved area under the receiver operating characteristic curve of 0.96 for detecting patient with cerebral venous thrombosis. The sensitivity of DL algorithm was higher than that of radiologists and obtained high specificity on patient-level.Compared to radiologists, DL algorithm found more thrombosed segments, indicating greater sensitivity and a sufficient specificity at the segment-level. |
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19F-MRI of pulmonary ventilation: Assessment of response to treatment in asthma and COPD |
| Mary A Neal1,2, Charlotte Holland1,2, Benjamin J Pippard1,2, Ian Forrest3, Graham Burns3, Rod Lawson4, Holly F Fisher5, John NS Matthews5, A John Simpson2, Jim M Wild6, and Peter E Thelwall1,2 | ||
1Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom, 2Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom, 3Department of Respiratory Medicine, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom, 4Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 5Institute of Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom, 6POLARIS, Imaging Sciences, Department of IICD, University of Sheffield, Sheffield, United Kingdom |
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Keywords: Lung, Non-Proton, fluorine, 19F, ventilation 19F-MRI is an emerging technique which holds promise for direct, quantitative imaging of pulmonary ventilation without recourse to ionising radiation or use of specialist hyperpolarised gases. We aimed to assess the sensitivity of 19F-MRI to treatment response by imaging inhaled perfluoropropane in patients with asthma and patients with COPD before and after administration of a bronchodilator, at two research sites. Significant increases in percent ventilated lung volume were measured from the 19F-MR images following bronchodilator administration in both patient groups, and a positive correlation with spirometry was measured, demonstrating good technique sensitivity and clinical validity. |
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Time Course Changes of Synthetic Relaxation Time during Neoadjuvant Chemotherapy in Breast Cancer. |
| Ruimeng Zhao1, Siyao Du1, Si Gao1, Lizhi Xie2, Jing Shi3, and Lina Zhang1 | ||
1Department of Radiology, The First Hospital of China Medical University, Shenyang, China, 2MR Research, GE Healthcare, Beijing, China, 3Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China |
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Keywords: Breast, Cancer, neoadjuvant chemotherapy; pathological complete response This study investigated the time course changes of synthetic magnetic resonance imaging (MRI) parameters (T1/T2 relaxation time [T1/T2], proton density [PD]) during neoadjuvant chemotherapy (NAC) and evaluate their value as predictors for pathological complete response (pCR) in locally advanced breast cancer. The results showed that median synthetic T1/T2/PD and tumor diameter generally decreased throughout NAC. And the Change of synthetic T1 after the first cycle of NAC may be an early predictor for NAC response in locally advanced breast cancer during whole treatment cycles. However, its predictive ability is significantly affected by histological grades. |
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Various parameters derived from mono-exponential DWI, IVIM, SEM, DKI and CTRW in breast cancer diagnosis and the prediction of prognostic factors |
| Yanjin Qin1, Yunfei Zhang2, Yongming Dai2, and Tao Ai1 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Breast, Cancer In the present study, we compared the potential of various diffusion parameters derived from five models in distinguishing breast lesions, including the mono-exponential model (Mono), intravoxel incoherent motion (IVIM) model, diffusion kurtosis imaging (DKI) model, stretched exponential model (SEM), and continuous-time random-walk (CTRW) mode. We found that diffusion-related parameters by the SEM and CTRW models are superior to ADC in discriminating breast lesions. Multiple diffusion parameters by all five diffusion models are related while the information provided is diverse. |
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Do Breast Edema and Shrinkage pattern Provide Additional Evaluation Value for Treatment Response and Recurrence in Luminal Breast Cancer |
| Shiyun Sun1, Yajia Gu1, and Chao You1 | ||
1Fudan University Shanghai Cancer Center, Shanghai, China |
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Keywords: Breast, Breast, breast edema; magnetic resonance imaging (MRI); treatment response; recurrence This study aims to develop an accurate and convenient prediction model for luminal breast cancer based on conventional MRI. First, we evaluated conventional MRI features and their changes during NAC (pre, early and post) and identified stable imaging markers that predicted multiple treatment responses and prognosis. Second, we comprehensively explored the shrinkage pattern, breast edema and changes during NAC. We found that both of them can provide added value to traditional MRI features. Finally, we constructed a combined model with multi-parameter MRI features and clinicopathological information, which showed good prediction performance in treatment response and prognosis of luminal breast cancer. |
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Prediction of the recurrence and invasion of hepatocellular carcinoma after TACE using intravoxel incoherent motion |
| Xinyao Zhao1, Qingqing Wen2, Weiqiang Dou2, and Junying Wang3 | ||
1Department of Radiology, Yantaishan Hospital, Yantai , Shandong Province, China, 2GE Healthcare, MR Research China, Beijing, China, 3Shandong Province Qianfoshan Hospital, Jinan, Shandong Province, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques, IVIM The accurate evaluation of tumor response after Transarterial Chemoembolization (TACE) treatment is important for tumor prognosis and subsequent treatment. In this study, we comprehensively investigated the feasibility of IVIM parameters in the TACE treatment area, peritumoral area, and hepatic parenchymal to predict tumor recurrence in hepatocellular carcinoma patients after TACE treatment. ADC and D of TACE-treated area, and D of the peritumoral area can predict the intralesional and peritumoral recurrence after TACE treatment with high accuracy, indicating that IVIM might be a useful tool in predicting the therapeutic response and the peritumoral invasion. |
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The GRAPH-CRAFITY Score: a novel prognostic tool for patients with hepatocellular carcinoma treated with targeted therapy and immunotherapy |
| Ying Xu1, Lu Li1, Yi Yang1, Lizhi Xie2, Sicong Wang2, Feng Ye1, and Xinming Zhao1 | ||
1Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, 2GE Healthcare, China, Beijing, China |
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Keywords: Liver, Treatment, Targeted Therapy, Immunotherapy, Prognostic Prediction · One-hundred and sixty-six patients (55.6±10.4 years) treated with lenvatinib plus anti-PD-1 antibody were included in training cohort and 77 patients (55.4±10.7 years) treated with lenvatinib or bevacizumab plus anti-PD-1 antibody were included in validation cohort. Based on independent risk factors (Gender, intRatumoral fAt, enhancing tumor caPsule, gross growtH type and CRAFITY Score) identified by the multivariate analysis, a novel prognostic tool named GRAPH-CRAFITY Score was developed to predict OS. GRAPH-CRAFITY Score by integrating Gender, MR features and laboratory tests is an effective and user-friendly tool to predict OS of HCC patients treated with targeted therapy and immunotherapy. |
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Preoperative prediction of Ki-67 expression of hepatocellular carcinoma using T1 mapping on gadoxetic acid-enhanced MRI |
| Yue Zhao1, Xiuhong Guan1, Yongzhou Xu2, Xinqing Jiang1, and Ruimeng Yang1 | ||
1Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Liver, Cancer The cell proliferation index, Ki-67 labeling index (LI) indicates the status of cell proliferation activity which corresponds with tumor biological behavior, treatment efficacy and prognosis. If the preoperative Ki-67 expression status in HCC can be accurately predicted noninvasively, it may provide important information for clinical decision-making. T1 mapping is useful for preoperative prediction of Ki-67 LI of HCC. The nomogram Combining T1 mapping on gadoxetic acid-enhanced MRI and clinical indicators has good predictive efficacy for preoperative prediction of Ki-67 LI, which can promote the individualized risk stratification and further treatment decision of HCC patients. |
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Quantitative DCE-MRI after P4-based error correction provides a more accurate therapy response assessment of pancreatic ductal adenocarcinoma |
| Martin D Holland1, Ezinwanne Onuoha2, Moh’d Khushman3, Darryl Outlaw3, Mehmet Akce 3, Bassel El-Rayes 3, Grant R Williams 3, Salila Hashmi 4, Sushanth Reddy 4, J. Bart Rose 4, Desiree E. Morgan 5, Xiaoyu Jiang 6, Dana Cardin 7, Katherine Frederick-Dyer 6, Junzhong Xu 6, and Harrison D Kim5 | ||
1Interdisciplinary Engineering, University of Alabama at Birmingham, Birmingham, AL, United States, 2Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States, 3Medicine, University of Alabama at Birmingham, Birmingham, AL, United States, 4Surgery, University of Alabama at Birmingham, Birmingham, AL, United States, 5Radiology, University of Alabama at Birmingham, Birmingham, AL, United States, 6Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 7Medicine, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Pancreas, Cancer, DCE-MRI, Pancreatic cancer, Therapy monitoring, Perfusion phantom, Quantification Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) measures tissue perfusion by monitoring the dynamic change of MRI contrast agents. However, the inter/intra-scanner variability in quantitative DCE-MRI (qDCE) measurement remains a concern. We developed a point-of-care portable perfusion phantom (P4) that can be imaged with a human subject in a standard MRI scanner to detect and correct the inter/intra-scanner variability of qDCE measurement. We demonstrated that the PDAC response to chemotherapy could be accurately assessed using quantitative DCE-MRI after our P4-based error correction method approximately seven weeks after starting therapy in two clinics. |
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Value of diffusion kurtosis MR imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer |
| Zehua Zhang1, Caixia Fu2, Robert Grimm3, and Zhengrong Zhou1 | ||
1Shanghai Cancer Center, Shanghai, China, 2MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Pancreas, Diffusion/other diffusion imaging techniques This study firstly compared diffusion kurtosis imaging (DKI) and traditional diffusion weighted imaging (DWI) in evaluating first-line chemotherapy in unresectable pancreatic cancer. The result demonstrated that higher efficacy was shown in DKI derived parameters than DWI by the ROC curve analysis. DKI has potential to become a new non-invasive tool for clinical efficacy evaluation and help clinicians select individualized treatment. |
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Stereotactic MR-guided Adaptive Radiotherapy for Pancreatic Cancers on a 1.5 Tesla MR-linac system |
| Danny Lee1,2, Seungjong Oh1,2, Min-Sig Hwang1,2, Daniel Pavord1, Jason Sohn1,2, Athanasios Colonias1, Mark Trombetta1, Alexander Kirichenko1,2, and Paul Renz1 | ||
1Allegheny Health Network, Pittsburgh, PA, United States, 2Drexel University College of Medicine, Philadelphia, PA, United States |
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Keywords: Cancer, Pancreas, MR-guided pancreas SBRT on MR-Linac Ablative SBRT to pancreatic cancers on MRI-Linac is a novel and rapidly evolving technology allowing real-time visualization of tumor and nearby organs-at-risk (OAR). Reliable identification of pancreas tumors on MR-Linac has direct impact on radiotherapy planning and outcome. A novel workflow was clinically implemented for pancreas stereotactic body radiotherapy on Elekta Unity MR-Linac. Compared to T2W images, pancreas tumors on T1W images, were superiorly visible for accurate delineation during the entire treatment course. This study is the first to determine the impact of an optimized MR sequence for pancreas tumors and OARs during multi-fractionate MR-guided radiotherapy on 1.5T Elekta MR-Linac. |
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Comparing the effectiveness of 1D versus 2D navigated respiratory-correlated 4D-MRI acquisitions for radiotherapy guidance |
| Katrinus Keijnemans1, Pim Borman1, Bas Raaymakers1, and Martin Fast1 | ||
1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Lung, Radiotherapy, 4D-MRI, Respiratory navigator Accurate characterization of internal anatomical motion is essential for correctly guiding free-breathing radiotherapy treatments on the MR-linacs. Respiratory-correlated 4D-MRI can potentially provide this crucial information during each treatment session. We acquired a 1D respiratory navigator (1D-RNAV) interleaved with simultaneous multi-slice (SMS) images, yielding a concurrent 2D navigator (2D-RNAV). Respiratory-correlated 4D-MRIs were obtained with the 1D and 2D internal navigator surrogate signals, and the amount of missing anatomical data was quantified. Using the 1D-RNAV signal yielded fewer missing data in respiratory-correlated 4D-MRIs. Improving breathing regularity using biofeedback did not substantially influence the choice of navigator. |
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Four Quadrant Vector Mapping of Hybrid Multidimensional MRI data for the diagnosis of prostate cancer |
| Aritrick Chatterjee1,2, Xiaobing Fan1, Aytekin Oto1, and Gregory Karczmar1 | ||
1University of Chicago, CHICAGO, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, Chicago, IL, United States |
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Keywords: Prostate, Cancer This study introduces a new quantitative mapping technique referred to as “Four Quadrant Vector Mapping” of HM-MRI data, where each image voxel is represented as a vector within a 2D plot with components ‘∆T2/∆b’ and ‘∆ADC/∆TE’ with associated spatial coordinates and quadrant, distance and angle. Measured metrics provides effective cancer markers, with cancers associated with high PQ4, lower PQ2, and higher vector angle, and lower amplitude. Quadrant mapping parameters show promise for determining cancer aggressiveness as they are moderately correlated with Gleason score. Four quadrant mapping could be combined with the compartmental analysis of HM-MRI data to increase diagnostic accuracy. |
| 0726 | Pitch: 15:45 Poster: 15:45 Screen 33
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Detection rate of prostate cancer using mpMRI-Inbore targeted prostate biopsy, mpMRI-TRUS guided biopsy and TRUS guided biopsy |
| Sujeet Kumar Mewar1, Sanjay Sharma2, Ekta Dhamijia3, Sanjay Thulkar3, S. Datta Gupta4, Sridhar Panaiyadiyan5, Naranamangalam R. Jagannathan6, Rajeev Kumar5, and Virendra Kumar 1 | ||
1Department of N.M.R., All India Institute of Medical Sciences, New Delhi, India, 2Department of Radio-diagnosis , RPC, All India Institute of Medical Sciences, New Delhi, India, 3Department of Radio-diagnosis, IRCH, All India Institute of Medical Sciences, New Delhi, India, 4Department of Pathology, All India Institute of Medical Sciences, New Delhi, India, 5Department of Urology, All India Institute of Medical Sciences, New Delhi, India, 6Department of Radiology, Present address. Chettinad Academy of Research and Education, Kelambakkam., Tamil Nadu, India |
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Keywords: Prostate, MR-Guided Interventions The present study demonstrated the comparison of detection rate of PCa between the three groups of patients recruited based on PSA > 4 ng/ml and abnormal DRE. The PCa detection rate of mpMRI-Inbore biopsy (Group I) was found 50 % while for mpMRI-TRUS guided biopsy (Group II) 26 %. The combined detection rate of techniques with and without mpMRI was also calculated and found 44 %, for mpMRI-Inbore biopsy and mpMRI-TRUS guided biopsy, while 34.5 %, in TRUS guided biopsy (Group III). Study shows that there is a significant advantage of mpMRI Inbore biopsy compared to TRUS guided prostate biopsy. |
| 0727 | Pitch: 15:45 Poster: 15:45 Screen 34
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Reduction of cryoneedle artifacts due to cryoneedle-RF coil interaction during MRI-guided cryoablation |
| Aiming Lu1, Guruprasad Krishnamoorthy1,2, Jacinta G Browne1, Scott M Thompson1, Daniel A Adamo1, and David A Woodrum1 | ||
1Mayo Clinic, Rochester, MN, United States, 2Philips Healthcare, Rochester, MN, United States |
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Keywords: Pelvis, Artifacts, intervention MRI-guided cryoablation is a widely used minimal invasive treatment that uses extreme cold to destroy localized diseased tissues. The cryoneedles used are expected to introduce little metal artifacts by themselves in the MRI images. However, severe artifacts along the cryoneedle shaft are sometimes observed during MRI guided cryoablations in practice, which can not only complicate the cryoablation procedures, but also potentially cause complications and negatively affect treatment outcome. This work demonstrated that the artifacts are likely due to coupling of the cryoneedles and the RF coils, and can be minimized by proper positioning of the cryoneedles, RF coils and patients. |
| 0728 | Pitch: 15:45 Poster: 15:45 Screen 35
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Combined IVIM and DKI MRI in pre-operative assessment of bladder cancer with different stages and grades |
| Fang Wang1, Xinghua Xu1, Guangtai Wu1, Lingyu Chang1, Dumin Li1, Weiqiang Dou2, Dmytro Pylypenko2, Dexin Yu1, and Qing Wang1 | ||
1Qilu Hospital of Shandong University, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Urogenital, Bladder This study aimed to determine the feasibility of intravoxel-incoherent-motion(IVIM) and diffusion-kurtosis-imaging (DKI) parameters in differentiating tumor stages and grades of bladder cancers preoperatively. The IVIM-related parameter (true-diffusion-coefficient) and DKI-related parameters (mean-diffusivity; mean-kurtosis) were significantly higher in non–muscle-invasive than muscle-invasive bladder cancers, and in low-grade than high-grade ones (all p <0.05). Robust diagnostic efficacies were separately confirmed with high AUCs for IVIM and DKI in staging and grading bladder cancers, and the optimal efficacy was obtained with combined IVIM and DKI models. Therefore, combined IVIM and DKI might be considered effective in differentiating the stages and grades of bladder cancers. |
| 0729 | Pitch: 15:45 Poster: 15:45 Screen 36
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Diagnostic performance of DCE-MRI Parameters in Distinguishing Tumor Deposits from Metastatic Lymph Nodes in Rectal Cancer |
| Qiaoyu Xu1, Hongliang Sun2, Yanyan Xu2, Juan Wang2, and Tongyin Zhang2 | ||
1Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China, 2China-Japan Friendship Hospital, Beijing, China |
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Keywords: Pelvis, Cancer This study aimed to investigate the usefulness of diffusion-weighted imaging (DWI) derived apparent diffusion coefficient (ADC) values and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) derived semi-quantitative parameters in distinguishing TD from MLN before surgical resection in RC patients. TD has some specific morphological features, including relatively larger size, lower short- to long-axis ratio, irregular shape and ill-defined border on T2-weighted MR images in rectal cancer. The combination of ADC values and parameters of DCE-MRI can help to improve the diagnostic efficiency of TD in rectal cancer. |
| 0730 | Pitch: 15:45 Poster: 15:45 Screen 37
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Diffusion-relaxation correlation spectroscopic imaging for evaluating response to neoadjuvant therapy in locally advanced rectal cancer |
| Xixi Zhao1, Wentao Hu2, Honglei Hu1, Chuyao Chen1, Yongming Dai2, and Yikai Xu1 | ||
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Digestive, Cancer Different treatment strategies should be applied to locally advanced rectal cancer (LARC) patients achieving different response after neoadjuvant chemoradiotherapy (nCRT). The purpose of this study was to determine the diagnostic performance of diffusion-relaxation correlation spectroscopic imaging (DR-CSI) in discriminating the pathological complete response (pCR) to nCRT in LARC. Compared to non-pCR group, pCR group showed significantly decreased average DR-CSI VD. ROC curve analysis indicated that the VD has better diagnostic performance in distinguishing pCR from non-pCR patients than traditional ADC and T2 value. |
| 0731 | Pitch: 15:45 Poster: 15:45 Screen 38
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Value of multiple mathematical models of advanced zoomed DWI for the evaluation of tumor-stroma ratio in rectal cancer |
| Lijuan Wan1, Hongmei Zhang1, Yumeng Zhu2, Yueluan Jiang3, and Guang Yang4 | ||
1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2Beijing No.4 High School International Campus, Beijing, China, 3MR Scientific Marketing, Siemens Healthineers Ltd., Beijing, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Pelvis, Cancer, Tumor microenvironment Tumor-stroma ratio (TSR) can reflect the relationship between tumor cells and tumor microenvironment. Evaluation of the TSR timely and accurately is important because of its role in predicting prognosis and making individualized treatment plans. Diffusion parameters obtained from multiple mathematical models of DWI can reflect microscopic characteristics of tumors. Multi b-value DWI with the advanced zoomed DWI technology can provide a higher-spatial-resolution with less artifacts. This study aimed to investigate the value of zoomed multi b-value DWI for predicting TSR in rectal cancer. The results suggested that distributed diffusion coefficient (DDC) is a promising indicator to identify high TSR group. |
| 0732 | Pitch: 15:45 Poster: 15:45 Screen 39
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Evaluating intra-voxel incoherent motion in the uterine cervix: healthy volunteer repeatability and therapy-induced changes in tumours |
| Anubhav Datta1,2, Damien J. McHugh1,3, Michael J. Dubec1,3, David L. Buckley3,4, Ross Little1, Michael Berks1, Susan Cheung1, Catharine West1, Ananya Choudhury1,5, Peter Hoskin1,5,6, and James P. B. O'Connor1,2,7 | ||
1Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom, 2Clinical Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 3Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom, 4School of Medicine, University of Leeds, Leeds, United Kingdom, 5Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 6Clinical Oncology, Mount Vernon Cancer Centre, Northwood, United Kingdom, 7Division of Radiotherapy and Imaging, Institute of Cancer Research, London, London, United Kingdom |
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Keywords: Uterus, Cancer There is a need for robust imaging biomarkers which can be used to assess early tumour response to therapy. Intra-voxel incoherent motion (IVIM) can provide information about tumour microstructure and microvasculature, but requires technical and biological validation. This work evaluates IVIM repeatability in the uterine cervix of healthy volunteers, assesses the sensitivity of IVIM parameters to therapy in patients with uterine cervical cancer, and evaluates model suitability through a model comparison framework. |
| 0733 | Pitch: 15:45 Poster: 15:45 Screen 40
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Pelvic organs prolapse recurrence after surgery using static and dynamic MRI |
| Cheng Zhang1, Yujiao Zhao2, Cong You1, Zhiwei Shen3, and Wen Shen2 | ||
1The First Central Clinical College of Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China, 3Philips healthcare, Beijing, China |
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Keywords: Pelvis, Pelvis, Static-Dynamic MR; pelvic organs prolapse; levator ani muscle; pelvic floor reconstruction surgery; recurrent risk As high as 54% is the anatomical recurrence rate following hysterectomy with anterior and posterior vaginal wall restoration for pelvic organ prolapse (POP). The levator ani muscle (LAM) is the primary pelvic floor support system. Using static and dynamic MRI, we investigated the association between the morphology and function of LAM and the postoperative recurrence of POP. Risk factors for the recurrence of POP included the thickness and injury of the LAM at rest, the H line, the M line, and the size of the levator hiatus at rest and strain, as well as the variation of the levator hiatus during the Valsalva maneuver. |
| 7:00 | Blood-Brain Barrier Dysfunction in Neurological Diseases |
| Danny Wang |
| 7:30 | Gut Microbiota in Dementia |
| Qin Chen |
| 7:00 | Tractography of the Heart |
| David Sosnovik |
| 7:30 | Quantitative Perfusion Mapping |
| Tushar Kotecha |
| 7:00 | Unmet Needs in Abdominal Imaging |
| Barun Bagga |
| 7:30 | Lowering the Field and Raising the Bar: Unmet Needs in Lung Imaging |
| Lea Azour |
| 7:00 | Joint MRI & Musculoskeletal Pain |
| C. Kwoh |
| 7:25 | Beyond Joints: Psychoradiology & MSK Pain |
| Qiyong Gong |
| 7:50 | Panel Discussion |
| 7:00 | fMRI vs. Intra-Cranial Measurements in Animals |
| Russell Chan |
| 7:30 | fMRI vs. Electrophysiology in Humans |
| Patricia Figueiredo |
| 7:00 | Novel/Alternative Contrast Mechanisms for Functional MRI: fQSM |
| Pinar Özbay |
| 7:30 | Novel/Alternative Contrast Mechanisms for Functional MRI: Diffusion-Based fMRI/VASO |
| Noam Shemesh |
| 7:00 | MR Fingerprinting: Acquisition |
| Nicole Seiberlich |
| 7:30 | MR Fingerprinting: Inference |
| Debra McGivney |
8:15
|
Static Magnetic Fields & Associated Risks | |
| Isabella Björkman-Burtscher1 | ||
1University of Gothenburg, Sweden |
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Keywords: Transferable skills: Safety Static magnetic fields & associated risks will review basic MR system components related to the static magnetic field (B0) in the scanner and the fringe field – including the main coil and shield coils. The discussion on risks associated to the static magnetic fields will focus on magneto-mechanical forces and torque, the impact of motion within B0, as well as sensory effects. While attractive forces and torque are main actors in MR safety as proven fatal if underestimated, other effects represent more of a nuisance and challenge patient compliance and comfort than representing a medical risk. |
8:45
|
Radiofrequency Fields & Associated Risks | |
| Aurelien Destruel1,2 | ||
1Aix-Marseille University, CNRS, CRMBM, Marseille, France, 2APHM, CEMEREM, Marseille, France |
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Keywords: Physics & Engineering: RF Safety, Physics & Engineering: Hardware, Physics & Engineering: High-Field MRI Radiofrequency (RF) coils are essential components of MR scanners. They can transmit the excitation field B1, receive the MR signal. They can be birdcages, loops or dipoles (and more), volume or surface, for brain, spine, knee or other,… If left unchecked, RF coils may cause tissue heating, requiring the control of the specific absorption rate (SAR). What exactly is this parameter, and how is it calculated? This talk will give an overview of RF coils and RF safety used in clinical environments, while introducing problematics specific to ultra-high field MRI, such as parallel transmit techniques (pTx). |
9:15
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Physiological Effects of Time-Varying Magnetic Fields | |
| Susie Huang1 | ||
1Massachusetts General Hospital, United States |
9:45
|
Safety Issues Related to Implants & Devices | |
| Heidi A. Edmonson1 | ||
1Mayo Clinic, United States |
8:15
|
Synthetic contrast: technical aspect and recent advancement | |
| Fuyixue Wang1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Charlestown, MA, United States |
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Keywords: Image acquisition: Multiparametric, Image acquisition: Image processing, Image acquisition: Fast imaging Synthetic images with flexibly adjustable contrasts can be generated from quantitative multi-parametric MRI. With the advancement of fast multi-parametric imaging, synthetic imaging provides a more efficient MR exam paradigm to obtain clinically useful contrasts. This talk will cover the technical aspect of synthetic imaging. It will present the i) basics of contrast synthesis; 2) fast quantitative multi-parametric acquisition and their recent advancement, including multidynamic multiecho (MDME), MR Fingerprinting (MRF), MR Multitasking, and Echo-Planar Time-resolved Imaging (EPTI); and 3) recent advancement of imaging synthesis methods including machine learning based approaches. We will also discuss the future directions of synthetic imaging. |
8:45
|
Synthetic contrast in the clinic - applications | |
| Shohei Fujita1,2,3 | ||
1Department of Radiology, The University of Tokyo, Japan, 2Department of Radiology, Juntendo University, Tokyo, Japan, 3Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States |
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Keywords: Contrast mechanisms: Relaxometry This lecture will provide a brief introduction to synthetic imaging techniques and explore the various clinical applications that highlight the advantages of these techniques in patient care and diagnosis. Both the potential benefits and drawbacks of synthetic imaging techniques will be discussed. |
9:15
|
Advanced synthetic contrasts - brain | |
| Bruno Madore1 | ||
1BWH, Harvard Medical School, United States |
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Keywords: Image acquisition: Quantification Exams that are shorter in time and more quantitative in nature may represent the future of MRI. If physical parameters such as T1 and T2 can be rapidly quantified, then one can just calculate (rather than acquire) the desired images. New or cutting-edge quantitative and synthetic imaging methods often tend to be first developed for neuroimaging, because brain imaging represents such an important share of clinical MRI and because motion problems tend to be somewhat manageable when imaging the head. This talk aims to present an up-to-date description of the synthetic and quantitative imaging field, along with current associated challenges. |
9:45
|
Advanced synthetic contrasts - MSK | |
| Jan Fritz1 | ||
1NYU, New York, NY, United States |
8:15
|
Spectroscopic Imaging of Muscle Disease | |
| Hermien Kan1 | ||
1Leiden University Medical Center, Leiden, Netherlands |
8:35
|
Non-Spectroscopic Quantitative Muscle Imaging | |
| Dimitrios Karampinos1 | ||
1Technical University of Munich, Munich, Germany |
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Keywords: Musculoskeletal: Muscular The present educational lecture will provide an overview of the technical aspects of the most important quantitative skeletal muscle imaging techniques and will discuss recent applications and current trends. Special focus will be given to techniques to measure the proton density fat fraction and relaxation parameters of skeletal muscle and to the application of the techniques in the context of neuromuscular diseases and orthopedic imaging. |
| 0734 | 8:55
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Detection of new resonances in the down-field 1H MRS of human calf muscle in vivo at 7T |
| Ravi Prakash Reddy Nanga1, Mark A. Elliott1, Anshuman Swain2, Neil E. Wilson1, Sophia Swago2, Narayan Datt Soni1, Walter Witschey1, and Ravinder Reddy3 | ||
1CAMIPM, Department of Radiology, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Radiology, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: MSK, Spectroscopy, Down-field 1H MRS We have detected new resonances that were not reported previously with chemical shifts of ~10.1, 10.3, and 10.9 ppm occurring in the down-field 1H MRS (DFMRS) from the human calf muscle in vivo. Based on the phantom and literature data, we speculate that the contribution to the 10.1 ppm peak might be from L-Tryptophan whereas the peaks at 10.3 and 10.9 ppm are yet to be assigned. This is for the first time that these peaks are observed and reported from the down-field 1H MRS of the human calf muscle. |
| 0735 | 9:03
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MR elastography-based slip interface imaging (SII) to assess the mobility of the myofascial interface in extremities: A feasibility study |
| Ziying Yin1, Yi Sui1, Keni Zheng1, Xiang Shan1, Philips Rossman1, Armando Manduca2, Brent A. Bauer3, and Richard L. Ehman1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, 3General Internal Medicine, Mayo Clinic, Rochester, MN, United States |
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Keywords: Muscle, Elastography, slip interface imaging, myofascial interface, myofascial pain syndrome Myofascial pain syndrome (MPS) is a common chronic pain disorder that can cause disability. Efforts to understand the MPS pathology have focused on myofascial connective tissue and the function of fascial plane mobility. Slip interface imaging (SII) offers a unique opportunity to assess fascial plane mobility noninvasively. Here, we investigated the feasibility of SII to visualize the mobility of the intermuscular myofascial interface in the upper leg and the functional intramuscular interface in the forearm flexor muscles in healthy volunteers. This creates a foundation for using MRE/SII to distinguish between a healthy and a dysfunctional fascial plane in MPS patients. |
| 0736 | 9:11
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Quantitative muscle MRI depicts microstructural abnormalities but no signs of inflammation or dystrophy in Post COVID-19 condition |
| Lara Schlaffke1, Johannes Forsting1, Marlena Rohm1,2, Peter Schwenkreis1, Martin Tegenthoff1, Christine Meyer-Frießem3, and Elena Enax-Krumova1 | ||
1Neurology, University Clinic Bergmannsheil Bochum gGmbH, Bochum, Germany, 2Heimer Institute for Muscle Research, University Clinic Bergmannsheil Bochum gGmbH, Bochum, Germany, 3Anaesthesiology, Intensive Care and Pain Management, University Clinic Bergmannsheil Bochum gGmbH, Bochum, Germany |
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Keywords: Muscle, COVID-19 Patients with post COVID-19 condition (PCC) often suffer from musculoskeletal pain with unknown pathophysiology. qMRI of the lower limbs was used to unravel the underlying mechanisms. 20 PCC were compared to 20 age and gender matched controls with regard to muscle fatfraction (revealed by Dixon imaging) water T2 time (using T2-mapping) and structural alterations (using DTI). Quantitative MRI did not depict any signs of ongoing inflammation or dystrophic process of the skeletal muscles in PCC patients. However, differences observed in muscle DTI depicts microstructural abnormalities, which may reflect potentially reversible fiber hypotrophy due to deconditioning. |
| 0737 | 9:19
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Skeletal muscle Mg2+, membrane permeability, and pH are altered in Becker muscular dystrophy: A 31P-MRS and DT-MRI study |
| Donnie Cameron1, Melissa T. Hooijmans2, Erik H. Niks3, and Hermien E. Kan1 | ||
1C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, Netherlands, 3Department of Neurology, Leiden University Medical Center, Leiden, Netherlands |
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Keywords: Muscle, Permeability, Neuromuscular diseases Becker muscular dystrophy (BMD) is an X-linked disorder characterised by variable, progressive muscle damage and loss of function. MR-derived fat fraction is used as a disease-progression marker, but early markers are lacking. Here we compared membrane permeability measures between BMD patients and controls to test whether these are altered in BMD. Phosphorus-(31P)-MRS showed reduced ionised magnesium [Mg2+], and increased phosphodiester/adenosine-triphosphate ratios and pH in the tibialis anterior muscle in patients, while diffusion-tensor-(DT)-MRI-derived permeability showed no inter-group differences. Future studies should determine the predictive value of 31P-MRS-measured [Mg2+], pH, and membrane breakdown for disease progression, to establish their potential as biomarkers. |
| 0738 | 9:27
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Multi-parametric ageing study on 51 subjects in the lower leg by 1H water T1 MR fingerprinting, multi-compartment water T2, fat fraction and 31P MRS |
| Alfredo Liubomir Lopez Kolkovsky1, Béatrice Matot1, Harmen Reyngoudt1, Benjamin Marty1, Ericky Caldas de Almeida Araujo1, and Yves Fromes1 | ||
1NMR Laboratory , Neuromuscular Investigation Center, Institute of Myology, Paris Cedex 13, France |
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Keywords: Muscle, Aging, Multi-contrast, Relaxometry, MR Fingerprinting Aging is a multi-factorial process and studies in the lower leg are scarce. We performed a multi-contrast protocol in 51 volunteers from 20 to 81 y.o. We found an age-related increase of muscle water T1(water-fat separation,MR fingerprinting), fat fraction, water T2 and T2 heterogeneity in the anterior and posterior compartments. Phosphodiesters and mitochondrial stress biomarkers also increased with age. Through bi-compartment water T2 CPMG measures, age-related increases of the long water T2 relative fraction were observed relative to the short water T2 (T2-H2O-CPMG-short) fraction, but T2-H2O-CPMG-short values were unaltered with age, suggesting inflammation with preservation of the intracellular water compartment. |
| 0739 | 9:35
|
Double Pulsed Field Gradient Diffusion MRI of skeletal muscle is sensitive to muscle microstructure |
| David B Berry1, Vitaly Galinsky1, Elizabeth Hutchinson2, Samuel R Ward1, and Lawrence R Frank1 | ||
1UC San Diego, La Jolla, CA, United States, 2University of Arizona, Tuscon, AZ, United States |
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Keywords: Muscle, Diffusion/other diffusion imaging techniques Single pulsed field gradient (sPFG) diffusion MRI (dMRI) is a commonly researched tool to monitor changes in muscle microstructure associated with injury. Double pulsed field gradient (dPFG) dMRI has been used to characterize microstructure of neural tissues, but is not commonly applied to skeletal muscle. This study demonstrates both in silico and in vivo applications of dPFG dMRI to assess changes in muscle microstructure that are related to muscle function (e.g. fiber diameter). Additionally, a novel method for analyzing dPFG data called Diffusion Tensor Subspace Imaging (DiTSI) demonstrates high sensitivity to quantifiable biomarkers of muscle microstructure. |
| 0740 | 9:43
|
Fat fraction dependent decrease of muscle 1H2O T2 in Duchenne muscular dystrophy is steeper in patients with faster disease progression |
| Eric Baetscher1, William Triplett2, Glenn Walter2, Sean Forbes2, Rebecca Willcocks2, Robert Mueller2, Alison Barnard2, Krista Vandenborne2, and William Rooney3 | ||
1Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States, 2University of Florida, Gainesville, FL, United States, 3Oregon Health & Science University, Portland, OR, United States |
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Keywords: Muscle, Relaxometry Fatty tissue replacement of muscle is characteristic of disease progression in Duchenne muscular dystrophy (DMD), and correlates with a decrease in muscle 1H2O T2. We report longitudinal analysis of MRS data from 86 subjects with DMD. We detect a significant effect of μ (age at 50% fat-fraction) on the slope of T2 by FF. The effect of μ on slope is a consequence of lower T2 at high FF in early progressing subjects, not an effect of T2 differences at low FF. The slope of muscle water T2 decline with FF may contain additional information related to pathology in DMD. |
| 0741 | 9:51
|
Interleaved BOLD and 31P-MRS examination of working human upper arm muscles |
| Melissa T. Hooijmans1, Jeroen A.L. Jeneson1,2, Sandra van der Berg1, Gustav J. Strijkers3, and Aart J. Nederveen1 | ||
1Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam Movement Sciences, Amsterdam UMC, Amsterdam, Netherlands, 2Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children’s Hospital/Division of Child Health, University Medical Center Utrecht, Utrecht, Netherlands, 3Biomedical Engineering and Physics, University of Amsterdam, Amsterdam Movement Sciences, Amsterdam UMC, Amsterdam, Netherlands |
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Keywords: Muscle, Metabolism, capillary function Phosphorous (31P) MRS is frequently used to study alterations in muscle mitochondrial function but works under the assumption that exercise triggers sufficient changes in perfusion to allow for delivery oxygen and energy substrates to the tissue. Here, we used interleaved scanning of 31PMRS and BOLD imaging to obtain an in-debt evaluation of muscle oxidative capacity in the upper arm muscles during arm-cycling exercise. We demonstrated that similar levels of PCr depletion and PCr recovery times resulted in variable Time-To-Peaks (TTPs) and max %BOLD response while a tendency was observed between a lower end-exercise pH and longer TTP. |
| 0742 | 9:59
|
Magnetization transfer ratio for characterizing extra-ocular muscles changes in myasthenia gravis: a pilot feasibility study |
| Qin Zhou1, Pei Chen1, Xiaoxiao Zhao1, Jing Zhao1, Mengzhu Wang2, and Zhiyun Yang1 | ||
1The first affiliated hospital of sun yat-sen university, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd, Guangzhou, China |
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Keywords: Muscle, CEST & MT, Myasthenia Gravis,MTR This study looked into the feasibility of using MTI to assess the EOM morphological and pathological changes in MG. The MTR can effectively quantify fibrosis and atrophy of EOM in MG patients, which is significantly related to the poor response to medication and the long duration of the disease, implying that it can be used as a non-invasive auxiliary diagnostic tool for MG patients' prognosis evaluation. |
| 0743 | 10:07
|
Quantitative assessment of the lumbar paraspinal muscle in patients with unilateral lumbar disc herniation by IDEAL-IQ MR sequence |
| Junrong Chen1, Jiujun Lan1, Ze Li2, Min Fu2, Xiaochun Yuan2, and Huilou Liang3 | ||
1Sichuan Province Orthopedic Hospital, Chengdu, China, 2Chengdu Sport University, Chengdu, China, 3GE Healthcare China, Beijing, China |
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Keywords: Muscle, Fat, Quantitative imaging, Lumbar disc herniation The development, progression, treatment and rehabilitation of lumbar disc herniation (LDH) are strongly associated with morphology and structural characteristics of lumbar paraspinal muscle. The IDEAL-IQ MR sequence allows the direct quantification of lumbar paraspinal muscle properties including fat fraction (FF) and cross-sectional area (CSA). The side-to-side differences between quantitative properties of bilateral paraspinal muscles in patients with unilateral LDH remain unclear. Therefore, this study aimed to investigate the possible unilateral changes of the paraspinal muscles in patients with unilateral LDH. Our results found no difference in FF and CSA values of paraspinal muscles between the affected and unaffected sides. |
| 0744 | 8:15
|
A flat fully-populated MR-guided focused ultrasound phased array body system |
| Ryan M Jones1, Yuexi Huang1, Benjamin BC Lucht2, Samuel T Gunaseelan1, Tyler Portelli2, Elizabeth David3,4, and Kullervo Hynynen1,4 | ||
1Sunnybrook Research Institute, Toronto, ON, Canada, 2Arrayus Technologies Inc., Burlington, ON, Canada, 3Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4University of Toronto, Toronto, ON, Canada |
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Keywords: Uterus, MR-Guided Interventions Existing commercial body MR-guided focused ultrasound (MRgFUS) systems have limited electronic steering ranges and rely on mechanical translation/rotation to ablate large tissue volumes. Here, we describe a flat fully-populated MRgFUS phased array body system with increased electronic steering capabilities. Following extensive benchtop and pre-clinical testing, the device was evaluated in a pilot clinical trial of MRgFUS for the treatment of uterine fibroids, which demonstrated the feasibilty and safety of the approach. The technology is extensible, stackable, and modular, allowing custom MRgFUS device development tailored to any indication. |
| 0745 | 8:23
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Improvement of Experimental SNR in Mock Transcranial MRgFUS System with Strategic Design of Transfer Medium and Transducer Ground Plane at 3T |
| Karthik Lakshmanan1,2, Ryan Brown1,2, Giuseppe Carluccio1,2, and Christopher M Collins1,2 | ||
1Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), New York University, New York, NY, United States |
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Keywords: Non-Array RF Coils, Antennas & Waveguides, RF Arrays & Systems We show that novel modifications to a mock Transcranial MR-guided Focused Ultrasound (TMRgFUS) system show potential to greatly improve MR performance. By using a transfer medium with reduced electric permittivity combined with slots in the transducer array ground plane we measure a 2-3 fold increase in SNR across the middle of a head-phantom portion of a mock TMRgFUS system. |
| 0746
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8:31
|
The MRDust: An Implantable Neural Interface Powered via Focused Ultrasound with Data Communication via MR Image Modulation |
| Biqi Rebekah Zhao1, Yuhan Wen1, Alexander Chou1, Elad Alon1, Rikky Muller1, Chunlei Liu1, and Michael Lustig1 | ||
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: New Devices, Neuroscience We propose a new device for neuroscience studies: the MRDust, a sub-mm wireless programmable neural recording mote with on-device memory and compute. It receives power via focused ultrasound, records neural signals in burst mode, and uses a micro-coil to perturb local magnetic fields to achieve data uplink via dynamic MRI signal modulation. We demonstrate proof-of-concept experiments in which digital information is encoded in images of an SE-EPI dynamic sequence, and in which a piezoelectric harvester can harvest enough ultrasonic power to sustain device operation, and receive control signals through amplitude modulation. |
| 0747 | 8:39
|
Motorized template for MRI-guided focal cryoablation of prostate cancer |
| Pedro Moreira1,2, John P Grimble 3, Mariana Bernardes1,2, Nick V Iftimia3, Kemal Tuncali1,2, Junichi Tokuda1,2, and Jesung Park3 | ||
1Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Physical Sciences Inc., Andover, MA, United States |
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Keywords: Interventional Devices, Prostate MR-guided focal cryoablation of prostate cancer has often been selected as a minimally-invasive treatment option. Placing multiple cryo-needles accurately to form an ablation volume that adequately covers the target volume is crucial for a better oncological/functional outcome. This work presents an MRI-compatible system combining a motorized template grid and insertion depth sensing, which allows the physician to precisely place the cryo-needles into the desired location. Our preliminary results demonstrate the advantages of adding additional degrees of freedom to the template and providing the physician with real-time feedback on the insertion depth. |
| 0748 | 8:47
|
Creating in vivo conformal thermal treatments using a multisource LITT device combined with real time multi-slice MR-thermometry |
| Manon Desclides1,2, Valéry Ozenne1, Guillaume Machinet3, Christophe Pierre3, Stéphane Chemouny2, and Bruno Quesson1 | ||
1University of Bordeaux, CNRS, CRMSB, UMR 5536, IHU Liryc, Bordeaux, France, Metropolitan, 2Certis Therapeutics, Pessac, France, 3ALPhANOV, Talence, France |
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Keywords: Interventional Devices, MR-Guided Interventions, Laser Percutaneous clinical ablation devices usually create a heating pattern with an ellipsoid shape. Output power and duration of application are the only degrees of freedom, which does not allow creating conformal ablation. To overcome this limitation, we designed a Laser Interstitial Thermal Therapy (LITT) device allowing creating various heating patterns. We present here in vivo results in pig muscle monitored by real-time 2D multi-slice MR-thermometry. |
| 0749 | 8:55
|
Feasibility of MR phase-contrast imaging for proton beam visualisation in liquid water phantoms |
| Juliane Peter1,2,3, Sebastian Gantz1,2, Aswin Hoffmann1,2,4, and Jörg Pawelke1,2 | ||
1OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 2Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany, 3Technische Universität Dresden, Dresden, Germany, 4Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany |
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Keywords: New Devices, Radiotherapy, Proton Therapy Proton beam-induced convection in water triggered local MRI magnitude signal loss in combined imaging and irradiation experiments performed on a new research prototype in-beam low-field MRI proton radiotherapy device. In this study, the influence of convection on the MRI phase signal was tested. Both mechanical and thermal inhibition of convection in dedicated water phantoms resulted in the absence of MRI phase signatures, which were clearly visible under conditions were convection could develop. Moreover, a change in either convection velocity or Venc sequence motion sensitivity changed the observed phase contrast, confirming the convection-driven phase contrast mechanism. |
| 0750 | 9:03
|
Real-time Needle Tracking Under 0.55T MRI Using Current Controlled B1 Field Artifacts |
| Dogangun Uzun1,2, Dursun Korel Yildirim1, Rajiv Ramasawmy1, Amanda Potersnak1, Adrienne Campbell-Washburn1, Ozgur Kocaturk3, and Robert J. Lederman1 | ||
1National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Institute of Biomadical Engineering, Bogazici University, Istanbul, Turkey, 3Transmural Systems, Andover, MA, United States |
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Keywords: Interventional Devices, Interventional Devices In this work, an interventional device tracking method under high performance 0.55T MRI is presented using a custom designed nitinol needle. Ultra-thin miniature solenoid coil markers were designed and printed on the needle using conductive ink. A negative contrast is created around the needle by applying an alternative current to the markers and hence introducing an offset to the B1 field. A signal generator circuit is designed for supplying and controlling the AC signal and the visibility of the needle is tested under MRI with in-vitro experiments during a real time b-SSFP sequence. |
| 0751 | 9:11
|
eGantryMate: A Piezo-Motor driven lean and flexible Assistance System for MR-Guided Interventions at 1.5T |
| Andreas Reichert1, Ali Caglar Özen1, Simon Reiss1, Samantha Hickey1, Thomas Lottner1, Niklas Verloh2, Srdjan Milosavljevic3, Michael Vogele3, and Michael Bock1 | ||
1Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 2Division of Interventional Radiology, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 3Interventional Systems GmbH, Kitzbuehel, Austria |
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Keywords: Interventional Devices, Interventional Devices We present a small and flexible piezo-driven assistance system, which can be steered from outside the magnet bore via a control unit. The assistance system is combined with a tracking sequence, which is able to follow in-bore manipulations of a dedicated end effector in real-time. For an initial evaluation, the assistance systems is equipped with a biopsy needle and targeting experiments are performed in a phantom setting. |
| 0752 | 9:19
|
Experimental and numerical calibration procedure for RF safety evaluation of implant-embedded sensors |
| Johannes Petzold1, Berk Silemek1, Lukas Winter1, Bernd Ittermann1, and Frank Seifert1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany |
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Keywords: Safety, Data Acquisition Embedded sensors in implants that communicate with an MRI system can improve patient safety substantially, in particular when parallel transmission is applied to mitigate the RF-heating risk. Calibration procedures and virtual models are presented in this work to support a rigorous safety assessment of this novel approach to implant safety. Experiments show a good correlation (r>0.96) between sensor signal (voltage at the tip) and field-probe measurements (E-field and temperature) for a custom-built reference implant. These results are further supported by simulations that can be extended to investigate more complex implant heating scenarios in human voxel models. |
| 0753 | 9:27
|
Motion Monitoring using a Wireless Ultrasound-Based Sensor and an Integrated RF/Wireless Coil Array |
| Devin Willey1,2, Spencer Lynch3,4, Olivia Jo Dickinson3,4, Trong-Kha Truong3,4, Fraser Robb5, Allen W Song3,6, Bruno Madore1,2, and Dean Darnell3,4 | ||
1Harvard Medical School, Boston, MA, United States, 2Radiology, Brigham and Women's Hospital, Boston, MA, United States, 3Medical Physics Graduate Program, Duke University, Durham, NC, United States, 4Brain Imaging and Analysis Center, Duke University, Durham, NC, United States, 5GE Healthcare, Aurora, OH, United States, 6Brain Imaging And Analysis Center, Duke University, Durham, NC, United States |
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Keywords: New Devices, Body A wireless, battery-powered, MR-compatible ultrasound device consisting of an integrated RF/wireless coil, an organ-configuration motion sensor and its associated electronics was used to acquire OCM sensor signals on a healthy volunteer. Signals were obtained that characterized internal motion, which were wirelessly transmitted to the console room. Validation was performed against a real-time MR acquisition. |
| 0754 | 9:35
|
Doppler radar signal integrity investigation for in-bore vital sensing applications |
| Wonje Lee1, John Pauly1, Shreyas Vasanawala1, and Greig Scott1 | ||
1Stanford University, Palo alto, CA, United States |
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Keywords: Hybrid & Novel Systems Technology, RF Arrays & Systems, motion sensing This study investigates complex baseband doppler radar signal integrity with linear and phase demodulations to confirm feasibility for in-bore MRI vital sensing applications. |
| 0755 | 9:43
|
Development of a cost-effective, fiber optic-based, MRI-compatible EEG system: a proof-of-concept study |
| Michael Potter1, Emily Holz1, Lindsay Demblowski1, Kyle Hunkar1, Udunna Anazodo2, Stefan Preble1, and Iris Asllani1,3 | ||
1Rochester Institute of Technology, Rochester, NY, United States, 2McGill University, Montreal, QC, Canada, 3University of Sussex, Brighton, United Kingdom |
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Keywords: Multimodal, fMRI (task based), EEG, EEG recording, MRI compatible EEG A cost-effective, 8-channel, MRI-compatible optical EEG prototype was implemented and tested. The protoype has the potential to be especially suited for low-field MRI applications. The system uses PhotrodeTM technology, a high impedance device that can pick up signals without the need for "wet" contact with the skin. The minimum resolvable voltage of the modulator was ~ 12.5 uV, sufficient for most EEG waves. |
| 0756 | 9:51
|
Wireless In-Bore Ballistocardiography with 2.4GHz Beat Pilot Tone (BPT) |
| Suma Anand1 and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Hybrid & Novel Systems Technology, Cardiovascular, RF Arrays and Systems, Motion Correction We previously proposed the Beat Pilot Tone (BPT), a motion sensing method that uses microwave frequencies and preamplifier intermodulation to obtain increased motion sensitivity compared to Pilot Tone (PT). Here, we show that cardiac signals acquired with BPT correlate strongly with displacement ballistocardiograms (dBCG). We compare the BPT signals to dBCG acquired with an accelerometer. Additionally, we show that BPT has greater signal modulation compared to PT in sensing cardiac motion. BPT could be a novel, non-contact, and wireless method for acquiring dBCG signals, offering robustness in setup for patients and rich physiological information complementary to the MRI exam. |
| 0757
|
9:59
|
Selective Shielding for RF Energy Harvesting Without B1 Interference |
| Oskar Bjoerkqvist1 and Klaas P. Pruessmann2 | ||
1ETH Zürich, Zurich, Switzerland, 2ETH Zürich, Zürich, Switzerland |
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Keywords: New Devices, New Devices, RF Harvesting; Wireless energy; In this abstract we present a solution for harvesting RF excitation pulses in MRI while suppressing interference caused by the harvesting system, which is otherwise known to be an issue. This approach to RF harvesting offers an alternative for powering circuitry that needs to be within the field of view free from cables and without dedicated energy transmission. |
| 0758
|
10:07
|
Transmission of Rotary Excitation enables Quantification of Oscillating nT-Fields using a Linear Calibration Model |
| Petra Albertova1,2, Maximilian Gram1,2, Verena Schirmer2, Martin Blaimer3, Martin J. Herrmann4, Matthias Gamer5, Peter Nordbeck1,6, and Peter Michael Jakob2 | ||
1Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany, 3Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany, 4Department of Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Würzburg, Würzburg, Germany, 5Department of Psychology, University of Würzburg, Würzburg, Germany, 6Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany |
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Keywords: Bioeffects & Magnetic Fields, Quantitative Imaging, spin-lock Rotary excitation based MRI, which enables spatially resolved, non-invasive, direct detection of biomagnetic fields, complements the measurement range accessible via MEG since detection is independent of the distance to the body surface. We present an extension of the REX method towards quantitative imaging. A calibration function can be composed from REX data of two measurements of adjustable fields projected onto the tissue by the scanner’s gradient system. In subsequent measurements, the field strength can be inferred from the calibration model. First in vivo proof-of-concept measurements show that the calibration successfully eliminates influences of tissue properties and accurately quantifies oscillatory nT-fields. |
| 0759 | 8:15
|
Quasi-Diffusion: A Model Of Signal Attenuation In Diffusion Magnetic Resonance Imaging Of Brain Tissue |
| Thomas R Barrick1, Carson Ingo2,3, and Franklyn A Howe1 | ||
1Department of Neurosciences, St George's, University of London, London, United Kingdom, 2Department of Neurology, Northwestern University, Chicago, IL, United States, 3Department of Physical Therapy, Human Movement Sciences, Northwestern University, Chicago, IL, United States |
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Keywords: Signal Modeling, Diffusion/other diffusion imaging techniques We show the quasi-diffusion model describes the dMRI signal from low b-value (stretched exponential) to high b-value (power law) regimes via a single, parsimonious function of two independent parameters. We identify new tissue contrast via a signal inflection point indicating the transition to the localisation regime. Quasi-Diffusion Imaging (QDI) parameter estimates converge to stable values as maximum b-value is increased, suggesting quasi-diffusion is a valid model for brain tissue dMRI signal decay. Accuracy of QDI parameters computed from 4 b-values of a 12 b-value acquisition indicate QDI measures may be derived from data acquired in clinically feasible times. |
| 0760 | 8:23
|
Axonal Diameter Mapping using High Performance Gradients: Feasibility study and Repeatability of Estimates |
| Nastaren Abad1, Afis Ajala1, Chitresh Bhushan1, Ante Zhu1, Luca Marinelli1, Eric Fiveland1, Seung-Kyun Lee1, J Kevin DeMarco2,3, Robert Shih2,3, Maureen Hood2,3, Gail Kohls2, H. Doug Morris3, Kimbra Kenney3, Vincent Ho3, and Thomas K.F Foo1,3 | ||
1GE Research, Niskayuna, NY, United States, 2Walter Reed National Military Medical Center, Bethesda, MD, United States, 3Uniformed Services University of the Health Sciences, Bethesda, MD, United States |
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Keywords: Signal Modeling, Diffusion/other diffusion imaging techniques High performance gradients allow for the exploration of an expanded diffusion parameter space, that simplifies biophysical model at ultra-high b=7-30 ms/μm2. The choice of b-encoding space can suppress contributions from extra-axonal water signal while utilization of high performance gradient systems allows for maintaining short echo times (TE<63 ms) with adequate SNR. In this study, the feasibility and reproducibility of mapping effective axonal diameter distributions in the in-vivo brain was assessed by making use of a test-retest paradigm. Whole brain white-matter and parcel based reproducibility and sensitivity were evaluated for this promising biomarker. |
| 0761 | 8:31
|
Synthetic data shows the potential of unsupervised and supervised learning for incorporating spatial information in IVIM fitting |
| Misha Pieter Thijs Kaandorp1,2, Peter Thomas While1,2, and Frank Zijlstra1,2 | ||
1Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 2Department of Circulation and Medical Imaging, NTNU – Norwegian University of Science and Technology, Trondheim, Norway |
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Keywords: Signal Modeling, Diffusion/other diffusion imaging techniques DWI data is spatially homogeneous, yet microstructures are irregular, where neighboring voxels do not always share information. Therefore, we need to utilize neighboring correlations only when they are present. In simulations, we show that by training on synthetic data with all plausible combinations of neighboring correlations, the accuracy of supervised deep learning IVIM model fitting can be improved. Conversely, unsupervised learning did not benefit from incorporating spatial information. In in-vivo data from a glioma patient, supervised training on this synthetic data improved the performance of IVIM fitting by effectively denoising the DWI data while preserving edge-like structures. |
| 0762 | 8:39
|
Characterization of T2-dependent microstructural spectra using combined relaxation-diffusion MRI |
| Lipeng Ning1,2, Carl-Fredrik Westin1,2, and Yogesh Rathi1,2 | ||
1Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States |
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Keywords: Signal Representations, Diffusion/other diffusion imaging techniques We proposed a method for joint modeling and analysis for diffusion MRI data with multiple TEs and examined the performance of using in vivo data acquired from a clinical scanner. The contribution of this work includes the characterization of b-value-dependent T2 relaxation rates, comparing prediction results using subsampled TEs, and characterization of microstructural spectral and long and short TEs using extrapolated signals. The results show that the proposed method can provide novel features to characterize T2-dependent microstructure using rdMRI acquired from clinical scanners. |
| 0763 | 8:47
|
Propagator-sensitive diffusion measurements hear the percussion ensemble |
| Evren Özarslan1, Deneb Boito1, and Alfredo Ordinola1 | ||
1Department of Biomedical Engineering, Linköping University, Linköping, Sweden |
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Keywords: Signal Modeling, Diffusion/other diffusion imaging techniques In 1966, Kac asked the question ‘Can one hear the shape of a drum?’ which refers to linking the density of states function to the shape of the pores. We illustrate how the density of eigenstates as well as the pore shape can be obtained through diffusion measurements performed via a recently introduced arrangement of long and narrow gradient pulses. In the presence of dispersity, maps derived from the signal provide exquisite details about the ensemble of pore shapes within the voxel. |
| 0764
|
8:55
|
Simultaneous T2/T2* quantification for oxygen extraction fraction estimation using GE-SE EPIK: A preliminary study in brain tumor patients |
| Fabian Küppers1,2, Seong Dae Yun1, Philipp Lohmann1, Christian Filss1,3, Gabriele Stoffels1, Karl-Josef Langen1,3, and Nadim Jon Shah1,4,5,6 | ||
1Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH, Jülich, Germany, 2RWTH Aachen University, Aachen, Germany, 3Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany, 4JARA-BRAIN - Translational Medicine, Aachen, Germany, 5Institute of Neuroscience and Medicine - 11, Forschungszentrum Juelich GmbH, Jülich, Germany, 6Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany |
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Keywords: Multi-Contrast, Oxygenation, Oxygen Extraction Fraction The versatile information provided by simultaneous multi-contrast GE/SE acquisitions keeps interest in this area high. This work extends the previously published 10-echo GE-SE EPIK to investigate brain tumor patients. Within this scope, a single-slice 12-second acquisition provides quantification of T2 and T2* with application to oxygen extraction fraction (OEF) information. Data from four tumor patients were acquired, revealing increased T2/T2* values and increased OEF in regions with variable amino acid uptake in O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET. |
| 0765 | 9:03
|
Effects of SNR on T2 and T2* estimates from a cardiac gradient-echo spin-echo (GESE) echo planar sequence |
| Qi Huang1, Jason Mendes1, Ganesh Adluru2, and Edward DiBella2 | ||
1University of Utah, Salt Lake City, UT, United States, 2UCAIR, salt lake city, UT, United States |
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Keywords: Signal Modeling, Multi-Contrast, Gradient-echo spin-echo (GESE); Echo Planar; The bias and precision of T2 and T2* estimates for a five-echo GESE model were studied using CRLB and Monte Carlo simulations. Different SNR cases were implemented by varying the standard deviation of added noise or the T2/T2* ratio. An in-vivo study with high SNRs for all EPI readouts was performed to validate the simulation. |
| 0766
|
9:11
|
Multi-TE SANDI: Quantifying compartmental T2 relaxation times in the grey matter |
| Ting Gong1, Chantal MW Tax2,3, Matteo Mancini4, Derek K Jones4, Hui Zhang1, and Marco Palombo4,5 | ||
1Centre for Medical Image Computing & Department of Computer Science, University College London, London, United Kingdom, 2Cardiff University Brain Research Imaging Centre, School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 3University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 4Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom, 5School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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Keywords: Signal Modeling, Diffusion/other diffusion imaging techniques This study models the echo time (TE) dependence of the apparent soma and neurite signal fractions derived from the soma and neurite density imaging (SANDI) and quantifies the apparent compartmental T2 relaxation times in the grey matter (GM). The SANDI model divides the intra-cellular space into intra-neurite and intra-soma compartments to account for contribution of water diffusion in cell bodies. By collecting multi-TE SANDI datasets, we provide the first ever estimates of apparent intra-neurite and intra-soma T2 relaxation times in the human brain and characterise their distribution in cortical and subcortical GM regions. |
| 0767 | 9:19
|
No Wait Inversion – a novel model for T1 mapping from inversion recovery measurements without the waiting times |
| Anne Slawig1,2, Juliana Bibiano2, and Herbert Köstler2 | ||
1University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany, 2Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany |
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Keywords: Signal Modeling, Relaxometry, T1 mapping, inversion recovery, model based reconstruction This study proposes a combined fit of an inversion-prepared and non-prepared measurement for robust fast T1-mapping. Therefore, 24 slices in the brain were acquired with and without a global inversion pulse before each slice and no waiting time was heeded in between. Results of exponential model reconstructions for inversion measurement only, non-prepared measurement only and combined fitting of both measurements were compared towards their performance for T1-mapping. Robust and accurate T1-maps were achieved by the proposed combined model even in cases of imperfect inversion. It can thus eliminate long waiting times in between inversions or the necessity of perfect inversion pulses. |
| 0768 | 9:27
|
A practical methodology to study the relationship between arterial blood pressure fluctuations and the BOLD signal |
| Rémi Dagenais1 and Georgios D. Mitsis2 | ||
1Biological and Biomedical Engineering, McGill University, Montréal, QC, Canada, 2Bioengineering, McGill University, Montréal, QC, Canada |
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Keywords: Data Acquisition, fMRI, Physiological denoising, ABP regulation The relationship between arterial blood pressure (ABP) fluctuations and the BOLD-fMRI signal is mostly unknown due to the limited availability of reliable MR-compatible ABP devices. Here, we propose a combined experimental and mathematical modeling methodology that uses two calibration recordings outside the scanner to estimate the ABP during the MR scan. Significant correlations between BOLD and ABP were observed in all tested subjects, which also revealed that the global BOLD signal is intrinsically correlated with the underlying ABP fluctuations. Our method is expected to improve our understanding of ABP regulation in the brain and allow for improved physiological fMRI denoising. |
| 0769 | 9:35
|
Biophysical model to correct for blood volume confounders of T2* mapping based renal MR oximetry |
| Thomas Gladytz1, Kathleen Cantow2, Jason Michael Millward1,3, Sonia Waiczies1,3, Erdmann Seeliger2, and Thoralf Niendorf1,3 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Institute of Translational Physiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Keywords: Oxygenation, Quantitative Imaging Quantitative MRI of renal hypoxia, an early key feature in acute kidney injury, is a valuable tool for diagnostics and pathophysiological studies. En route to MR oximetry we propose a biophysical model that uses the kidney size as an additional MRI derivable information to correct for blood volume confounders of oxygenation sensitive T2* maps. The model is demonstrated in a preclinical study involving three different vascular occlusions highlighting the confounding effect of blood volume changes and its correction. |
| 0770 | 9:43
|
Free-breathing 3D Stack-of-Spiral Cardiac Quantitative Susceptibility Mapping for Noninvasive Measurement of Cardiac Chamber Oxygenation |
| Jiahao Li1,2, Pablo Villar-Calle3, Jinwei Zhang1,2, Chao Li2,4, Thanh D. Nguyen2, Yi Wang1,2, Jiwon Kim3, Jonathan W. Weinsaft3, and Pascal Spincemaille2 | ||
1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States, 3Medicine, Weill Cornell Medicine, New York, NY, United States, 4Applied and Engineering Physics, Cornell University, Ithaca, NY, United States |
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Keywords: Oxygenation, Motion Correction A free-breathing 3D stack-of-spiral data acquisition was developed for motion-free cardiac quantitative susceptibility mapping, to tackle the challenge where even a short breath-hold is difficult for patients to perform. ECG and respiratory bellow signal were recorded for retrospective motion binning. A 5D dataset incorporating additional cardiac and respiratory phase dimensions were reconstructed with joint spatiotemporal regularization to generate a motion-free cardiac QSM. In healthy volunteers, this method was compared with a motion-averaged reconstruction and with a separate breath-hold spiral cardiac QSM using Cartesian navigator QSM as reference. Equivalent right-to-left heart chamber differential blood oxygenation was observed among all method studied. |
| 0771 | 9:51
|
Synthesizing speech through a tube talker model informed by dynamic MRI-derived vocal tract area functions |
| Rushdi Zahid Rusho1, Brad H. Story2, David Meyer3, Mathews Jacob4, and Sajan Goud Lingala1,5 | ||
1Roy J. Carver Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, United States, 2Speech, Language and Hearing Sciences, University of Arizona, Tucson, AZ, United States, 3Janette Ogg Voice Research Center, Shenandoah University, Winchester, VA, United States, 4Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, United States, 5Department of Radiology, The University of Iowa, Iowa City, IA, United States |
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Keywords: Signal Modeling, Head & Neck/ENT The vocal tract encompasses the airspace from the glottis (the space between the vocal folds) to the external lips. This irregular tube filters the glottal sound source, and is modulated by many structures (e.g. the tongue, lips, and velum) to produce speech sounds (e.g. vowels and consonants). In this work, we determine the preliminary feasibility of integrating vocal tract area functions derived from a recently proposed accelerated pseudo-3D dynamic speech MRI scheme to a parametric tube talker model to synthesize speech. |
| 0772 | 9:59
|
Two-voxel MRS with B0 correction using a model-based reconstruction |
| Adam Berrington1 and Olivier Mougin1 | ||
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Signal Modeling, Spectroscopy Performing simultaneous MRS from two-regions is often desirable in spectroscopy studies. However, achieving an optimal B0 shim in two regions is difficult, leading to poor data quality. We investigate a model-based reconstruction for two-voxel MRS, incorporating B0 information, to reconstruct data with reduced T2* decay. We test this approach using least squares and regularization approaches for Hadamard encoding in simulations and phantom. Despite a noise penalty for B0-correction (2-4)-fold, FIDs from two voxels better matched un-broadened spectra under conditions of sufficient SNR. Regularization also produced time-domain reconstructions with less noise than a least-squares approach. |
| 0773 | 10:07
|
Enhanced Myelin Mapping based on Histology and MRI from the Same Subjects |
| Zifei Liang1, Choong Heon Lee1, Jennifer A. Minteer2, Yongsoo Kim2, and Jiangyang Zhang1 | ||
1Radiology, NYU Langone health, new york, NY, United States, 2Penn State University, Hershey, PA, United States |
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Keywords: Signal Representations, Brain, MR-histology To infer cellular-level information from MR signals with high sensitivity and specificity is a challenging task. We previously demonstrated the feasibility of mapping myelin in the mouse brain based on multi-contrast MRI using deep learning, but the results were based on limited histological data and MRI data from separate cohorts. In this study, we acquired serial 2-photon and MRI data from the same mice and trained a neural network for mapping myelin. Our results demonstrated enhanced sensitivity and specificity compared to conventional MRI myelin markers, our previous network, and polynomial fitting. |
| 0774 | 8:15
|
Enlarged Perivascular Spaces in the Basal Ganglia Surround Arteries, not Veins |
| Jan Oltmer1, Julia Beck2, Hendrik Mattern3,4, Renat Yakupov3,5, Corinne Auger6, Emrah Düzel3,5,7,8, Susanne van Veluw6,9,10, Stefanie Schreiber2,3,5,7, and Valentina Perosa3,9 | ||
1Athinoula A. Martinos Center, Massachusetts General Hospital/Harvard medical school, Charlestown, MA, United States, 2Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany, 3German center for neurodegenerative diseases (DZNE), Magdeburg, Germany, 4Department of Biomedical Magnetic Resonance (BMMR), Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany, 5Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany, 6MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, United States, 7Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany, 8Institute of Cognitive Neuroscience, University College London, London, United Kingdom, 9J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States, 10Department of Radiology, Leiden University Medical Center, Leiden, Netherlands |
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Keywords: Blood vessels, High-Field MRI, Histopathology Fluid-filled perivascular spaces (PVS) surround brain vessels. Their enlargement is a common hallmark of cerebral small vessel disease (CSVD) and has been related to impaired clearance of toxic proteins from the brain. It is unclear whether PVS enlarge around arteries, veins, or both. Combining ultra-high resolution 7T MRI angiography, venography and histology, we show that in healthy controls and patients with CSVD, PVS enlarge around arteries more than veins within the basal ganglia. A better understanding of the anatomy and distribution of enlarged PVS can contribute to the understanding of perivascular clearance and disease mechanisms. |
| 0775
|
8:23
|
BB MRI for monitoring aneurysm treatment – a novel biomarker? |
| Mariya S. Pravdivtseva1, Hivnu Toraman2, Jana Korte3, Franziska Gaidzik3, Philipp Berg3, Lana Bautz1, Fritz Wodarg2, Jan-Bernd Hövener1, Olav Jansen2, and Naomi Larsen2 | ||
1Department of Radiology and Neuroradiology, Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, Kiel, Germany, 2Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, Kiel, Germany, 3Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany, Magdeburg, Germany |
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Keywords: Blood vessels, Phantoms, blood vessels, aneurysms, diagnostics, treatment evaluation Treating life-threatening intracranial aneurysms with flow modulating devices (FMDs) is mostly successfull, but may lead to complications and even delayed aneurysm rupture. A biomarker indicating treatment success is direly needed. Flow MRI can detect flow reduction, but it is impaired by metal artifacts from FMDs. Black-blood (BB) MRI is less sensitive to metal artifacts and often results in poor slow-flow suppression. We hypothesize that BB contrast changes after aneurysm treatment. Here, after placing FMDs in 3D-printed aneurysm models, an enhanced signal was found on BB MRI, associated with the reduced aneurysmal flow after flow modulation and thus possible treatment success. |
| 0776
|
8:31
|
Accelerated intracranial time-of-flight magnetic resonance angiography using wave-encoding |
| Yang Ji1, Wenchuan Wu1, Matthijs H. S. de Buck 1, Thomas Okell 1, and Peter Jezzard1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Keywords: Blood vessels, Parallel Imaging 3D time-of-flight (TOF) can be used to acquire a volume with high spatial resolution, making it a preferable choice for depicting smaller vascular structures. However, 3D TOF requires long acquisition times when acquiring multiple slabs and covering a large field of view, especially for high spatial resolution imaging. To accelerate acquisition and to improve image quality of TOF MRA, we developed an accelerated 3D intracranial TOF MRA sequence with wave-encoding (referred to as 3D wave-TOF) and evaluated two variants – wave-CAIPI and compressed-sensing wave (CS-wave). |
| 0777 | 8:39
|
MPc-RAGE: Simultaneous MP-RAGE and Phase Contrast Angiography Acquisition |
| Brian Johnson1,2, Sandeep Ganji1,3, and Nandor Pinter4,5 | ||
1Philips, Cleveland, OH, United States, 2Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN, United States, 4Dent Neurologic Institute, Amherst, NY, United States, 5Department of Neurosurgery, University at Buffalo, Buffalo, NY, United States |
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Keywords: Blood vessels, Blood vessels The 3D magnetization-prepared rapid gradient-echo (MP-RAGE) and 3D phase contrast angiography (PCA) are widely used sequences in both clinical and research settings, due to high spatial resolution, excellent contrast, and clinically feasible scan time. Recent image acceleration techniques, such as compressed sensing and artificial intelligence reconstruction can drastically reduce scan times, allowing to create multi-domain imaging approaches. Here we introduce MPc-RAGE, a simultaneous MP-RAGE and PCA acquisition that combines the benefits of these two sequences in a single scan. Furthermore, we explore the possibility of the MPc-RAGE as a potential black blood technique for use in vessel wall imaging. |
| 0778 | 8:47
|
Utilizing High Performance Gradients to Image Human Brain Arterial Vasculature with High Resolution 7T Time-of-flight MR Angiography |
| Samantha J Ma1, Alexander JS Beckett2,3, Gerhard Laub4, and David A Feinberg2,3 | ||
1Siemens Medical Solutions USA, Inc., Berkeley, CA, United States, 2Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, 3Advanced MRI Technologies, Sebastopol, CA, United States, 4Dr. Laub Consulting, LLC, San Mateo, CA, United States |
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Keywords: Blood vessels, High-Field MRI Time of flight (TOF) 3D MR Angiography (MRA) has been shown to effectively image small (50-300um diameter) pial vessels. However, such high resolution requires strong flow compensation (flow-comp) gradient pulses and short echo times which are limited by peripheral nerve stimulation and hardware capability in most scanners. We demonstrate high resolution TOF MRA acquisition using an advanced head gradient system (200mT/m, 900 T/m/s) at ultrahigh field 7T. |
| 0779
|
8:55
|
Detection of Age-related Cerebral Microvessel Tortuosity and Its Association with Dilated Perivascular Space Using USPIO-enhanced 7T MRI |
| Zhe Sun1,2, Chenyang Li1,2, E. Mark Haacke3, and Yulin Ge1 | ||
1Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Radiology, Wayne State University, Detroit, MI, United States |
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Keywords: Blood vessels, Aging Microvessel tortuosity, which is lack detection on clinical imaging, may have direct detrimental effects on capillary flow and nutrient supply which is critical in maintaining neural functions. A high-resolution USPIO-enhanced 7T MRI demonstrated corkscrew appearing medullary arterioles (about 50 µm) in white matter with some enclosed in dilated perivascular space (PVS). The number of tortuous arterioles increased with aging and more tortuous vessels with dilated PVS were found in elderly people (P<0.05). The dynamic interactions between vulnerable tortuous arteries and PVS dilation may be the basis of age-related hypoperfusion, white matter pathology, and waste clearance dysfunction in the elderly. |
| 0780 | 9:03
|
VICTR: Venous transit time (VTT) Imaging by Changes in T1 Relaxation |
| Wen Shi1, Dengrong Jiang2, Abhay Moghekar3, Zhiyi Hu1, and Hanzhang Lu1,2 | ||
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
||
Keywords: Blood vessels, Blood Venous hemodynamics is not well-studied despite it is a crucial part of human vascular system and involves in many brain vascular diseases. Here, we developed a novel technique dubbed Venous transit time Imaging by Changes in T1 Relaxation (VICTR) to measure the time for blood to travel from capillary to veins, i.e., VTT. We verified VICTR on different locations of superior sagittal sinus and VTT showed regional dependency. The caffeine challenge study also validated VTT with the vasoconstriction effect. With excellent test-retest reproducibility, VTT may be a potential physiological biomarker to evaluate vessel tortuosity and detect venous pathologies. |
| 0781 | 9:11
|
4D-Flow and DCE-MRI Study on the Wall Enhancement of Unruptured Intracranial Aneurysms |
| Qichang Fu1, Yong Zhang1, Chengcheng Zhu2, Sheng Guan1, and Jingliang Cheng1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2University of Washington, Seattle, WA, United States |
||
Keywords: Blood vessels, Stroke, unruptured intracranial aneurysms; aneurysmal wall enhancement; wall enhancement index; Ktrans; wall shear stress This study used 4D-flow-MRI, dynamic contrast-enhanced MRI, and vessel wall MRI to explore the relationship between wall shear stress (WSS) and Ktrans and aneurysm wall enhancement (AWE) to understand the functional changes in the unruptured intracranial aneurysms (UIAs). Seventy-eight patients were enrolled, including 96 UIAs. All patients completed examinations based on a 3.0T Siemens Prisma magnetic resonance. WSS with the AWE group was lower, and Ktrans with the AWE group were higher than those without AWE. The wall enhancement index (WEI) was a quantitative index of AWE. WEI had a negative correlation with WSS and a positive correlation with Ktrans. |
| 0782 | 9:19
|
An advanced reconstruction framework in stack-of-stars golden-angle radial non-contrast enhanced 4D MRA with ultra-high temporal resolution |
| Tianrui Zhao1,2, Li Feng3, and Lirong Yan2 | ||
1Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 2Department of Radiology, Northwestern University, Chicago, IL, United States, 3BioMedical Engineering and Imaging Institute (BMEII), Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Blood vessels, Image Reconstruction In the present study, we developed an advanced reconstruction framework for ASL-based 4-dimensional (4D) MRA dubbed GraspMRA, which combines stack-of-stars golden-angle radial sampling with low-rank subspace-based image reconstruction to achieve ultra-high temporal resolution. The performance of GraspMRA was evaluated by comparison with three other reconstruction methods at different acceleration rates. Our results have demonstrated that GraspMRA has superior performance to the other methods, and it provides real flow dynamics at an ultra-high temporal resolution of up to 25ms per 3D volume while preserving good image quality. |
| 0783 | 9:27
|
Super-resolution assessment of relative pressure in intracranial atherosclerosis using ML-enhanced 4D Flow MRI |
| Patrick Winter1,2, David Marlevi3,4, Maria Aristova2, Edward Ferdian5, Jonas Schollenberger6, Alireza Vali2, Jackson Moore2, Michael Markl2, Ramez Abdallah2, Sameer Ansari2, C Alberto Figuerora6, David Nordsletten6, Alistair Young6, and Susanne Schnell1,2 | ||
1Department of Medical Physics, University of Greifswald, Greifswald, Germany, 2Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Dept Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden, 4Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 55Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand, 6Department of Anatomy and Medical Imaging, University of Michigan, Ann Arbor, MI, United States |
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Keywords: Stroke, Atherosclerosis, intracranial atherosclerotic disease, stenosis, pressure differences In vivo measurements of intracranial pressure differences using 4D flow are useful to assess health risks associated with intracranial atherosclerotic disease (ICAD). In the clinical routine, approximations of the Navier-Stokes equation are used to derive relative pressure values, which can be inaccurate in intracranial vessels. Recently we presented an algorithm using a virtual work-energy formulation(vWERP). While this technique yields more accurate pressure estimations in intracranial settings, still systematic errors due to insufficient spatial resolution were observed. Here, we apply artificial intelligence-based super resolution for more accurate assessments of pressure values near the stenosis in a cohort of ICAD patients. |
| 0784
|
9:35
|
A novel method of calculating cardiac pulsatility from resting state fMRI data |
| Ryan Anthony Beckerleg1,2, Georgios Mitsis3, Michalis Kassinopoulos4, and Kevin Murphy1 | ||
1CUBRIC, School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, Cardiff, United Kingdom, 2CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, Cardiff, United Kingdom, 3Department of Bioengineering, McGill University, Montreal, QC, Canada, Montreal, QC, Canada, 4Graduate Program in Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, Montreal, QC, Canada |
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Keywords: Blood vessels, fMRI (resting state) Measures of cardiac pulsatility were generated from resting-state fMRI data using ICA information and processed HRV traces. This was achieved by performing a correlation between the ICA component and HRV time series to isolate cardiac-related components from non-cardiac-related components. Classified datasets were used to train the FIX noise correction algorithm. FIX was used to classify cardiac components in 4123 rfMRI datasets. Measures of voxelwise cardiac pulsatility were generated be determining the R2 variance explained in the voxel time series by the classified cardiac components. Comparisons with gold standard pulsatility measures derived from the HRV traces showed high correlation values. |
| 0785 | 9:43
|
Effects of Aquaporin-4 Inhibition on Relative Cerebrovascular Reactivity using Resting-state Functional MRI |
| Muneeb A. Faiq1, Russell W. Chan1, Thajunnisa A. Sajitha1, and Kevin C. Chan1,2 | ||
1Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 2Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Blood vessels, fMRI (resting state), Cerebrovscular reactivity Aquaporin-4 (AQP4) is most abundant water channel responsible for cerebrospinal fluid influx in the brain, and has important bearings on cerebrovascular diseases. However, it remains unclear how aquaporin-4 functions in the cerebrovasculature. We used relative cerebrovascular reactivity (rCVR) mapping derived from task-free, resting-state blood-oxygenation-level-dependent functional MRI to determine the effects of AQP4 suppression on the healthy mouse brains using the AQP4 inhibitor TGN020. We observed different patterns of rCVR responses across cortical and subcortical brain regions, indicating the heterogeneity of AQP4 functions in the cerebrovasculature, which may explain the varying vulnerability of different brain regions to cerebrovascular diseases. |
| 0786 | 9:51
|
Can HR-VWI pre-operatively predict Postoperative Restenosis of Intracranial Atherosclerotic Disease Treated by Drug-Coated Balloon? |
| Shu Jiang1, Weiqiang Dou2, Xinyi Wang1, and Chao Zhang1 | ||
1The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2GE Healthcare, Nanjing, China |
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Keywords: Stroke, Stroke This study mainly investigated if high-resolution vessel wall MRI (HR-VWI) can predict postoperative restenosis before drug-coated balloon (DCB) treatment. We included 76 patients who underwent HR-VWI examination before DCB treatment. DSA measurement was assessed 6 months after operation to determine vessel restenosis, classifying patients into three groups of no stenosis, mild stenosis (<50%), and restenosis (>50%). Significant differences among three groups were observed in plaque length, lumen area of MLN, degree of stenosis, enhancement amplitude and plaque burden. Plaque length and EA were independent prognostic factors of postoperative restenosis. Therefore, HR-VWI has potential to predict postoperative restenosis before DCB treatment. |
| 0787 | 9:59
|
Multimodal neuroimaging of Col4A1-mutant mouse models of Gould Syndrome |
| Xiao Gao1, Xiaowei Wang1, Cassandre Labelle-Dumais1, Douglas Gould1, and Myriam M Chaumeil1 | ||
1UCSF, San Francisco, CA, United States |
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Keywords: Blood vessels, Rare disease Gould syndrome is a multisystem disorder whose manifestations are highly variable. Animal studies suggest that allelic heterogeneity and genetic context contribute to the clinical variability. Clinical manifestations associated with Gould syndrome include blood–brain barrier (BBB) leakage, microbleeds, and white matter lesions. Here, we use multimodal MRI at 14.1Tesla to characterize radiological findings observed in mouse models of Gould syndrome caused by mutations in Collagen type IV alpha 1 (Col4a1). We show that multimodal MRI can successfully differentiate between disease subtypes based on anatomical changes as well as prevalence, number, volume and type of brain lesions. |
| 0788 | 10:07
|
Cerebral Amyloid Angiopathy (CAA) is associated with gray matter R2 relaxation rate: An ex-vivo MRI and pathology study |
| Md Tahmid Yasar1, Arnold M. Evia2, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Blood vessels, Aging, Alzheimer’s disease, Dementia, Ex-vivo applications Cerebral amyloid angiopathy (CAA) is characterized by accumulation of amyloid-β protein in the walls of cortical and leptomeningeal small vessels. CAA is common in older adults and is associated with intracerebral hemorrhage, microbleeds, cognitive decline and dementia. The present study in a large number of community-based older adults (N=802) combined ex-vivo MRI and detailed neuropathology and showed for the first time that CAA is associated with higher transverse relaxation rate, R2, in gray matter, independent of other neuropathologies and demographics. The regions that showed this association included cortical regions in the temporal and frontal lobes as well as subcortical structures. |
| 0789 | 8:15
|
Abbreviated MRI with Second Shot Arterial Phase for HCC Evaluation: Modified Version of LI-RADS and Recall Reduction Strategy |
| Jeong Woo Kim1 and Chang Hee Lee1 | ||
1Radiology, Korea University Guro Hospital, Seoul, Korea, Republic of |
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Keywords: Liver, Liver A modified version of LI-RADS was devised for abbreviated MRI (AMRI) with second shot arterial phase (SSAP) by referring to CEUS LI-RADS. The modified LI-RADS scores using AMRI with SSAP showed a high concordance rate with the conventional LI-RADS score using full-protocol MRI. The recall rate significantly decreased when the HCC surveillance and diagnosis strategy was changed from strategy 1 (AMRI without SSAP; surveillance then recall test) to strategy 2 (AMRI with SSAP; simultaneous surveillance and diagnosis). |
| 0790
|
8:23
|
Preoperative Prediction of CK19 Expression and Early Recurrence of Hepatocellular Carcinoma using T1 mapping on Gadoxetic acid-enhanced MRI |
| Yue Zhao1, Xiuhong Guan1, Yongzhou Xu2, Xinqing Jiang1, and Ruimeng Yang1 | ||
1Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Liver, Liver, Hepatocellular carcinoma; T1 mapping. Cytokeratin 19 (CK19) is well acknowledged as a progenitor cell marker and tumor stem cell marker that plays an important role in promoting the malignant property of HCC. If the preoperative CK19 expression status in HCC can be accurately predicted noninvasively, it may provide important information for clinical decision-making. T1 mapping is useful for preoperative prediction of CK19 expression and early recurrence of HCC. The clinical-quantitative model combining alpha-fetoprotein and quantitative features showed good performance and robustness in predicting CK19 expression. T1 relaxation time on hepatobiliary phase was an independent predictor of CK19 expression and recurrence-free survival. |
| 0791 | 8:31
|
TPA:Two-stage Progressive Attention diagnosis framework for hepatocellular carcinoma segmentation on Dynamic Contrast Enhanced MRI |
| Lei Lei Gao1 and Yuan-Cheng Wang1 | ||
1Zhongda Hospital Southeast University, Nanjing, China |
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Keywords: Liver, Cancer, Deep learning We proposed a Two-stage Progressive Attention (TPA) framework by simulating the radiologists’ decision process for hepatocellular carcinoma segmentation. The study included 400 HCC patients as an internal set and 109 patients as an external test set. To obtain sensitive and specific results, our model is divided into two stages, respectively introducing attention mechanism and residual network. |
| 0792 | 8:39
|
Application of 3D Cones Trajectory Acquisition in Hepatobiliary MR Imaging for Detection of Hepatic Lesions |
| Negaur Iranpour1, Vipul Sheth1, Ali Syed1, and Ryan L Brunsing1 | ||
1Radiology Body MRI, Stanford Medicine, Palo Alto, CA, United States |
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Keywords: Liver, Liver, Free-breathing MRI, hepatobiliary imaging, 3D cones with golden-angle ordering Conventional cartesian T1 weighted 3D spoiled gradient recalled echo imaging with respiratory navigation (3D-SPGR-NAV) can help mitigate motion artifacts in post contrast liver imaging but suffer from respiratory rate dependence. 3D cones trajectories with golden angle ordering (T1g) allow continuous sampling during free-breathing liver imaging. We compared the diagnostic performance of an accelerated T1g (T1gER) versus 3D-SPGR-NAV in liver lesion detection. Two readers reviewed imaging from 35 patients containing 127 hepatic lesions. T1gER was non-inferior to 3D-SPGR-NAV for <5 mm and >=10 mm lesions. 3D-SPGR-NAV was superior for lesions 5-9 mm, possibly due to susceptibility artifact on the T1gER images. |
| 0793 | 8:47
|
Corona Enhancement Combined with Microvascular Invasion for Identification / Prognosis of Macrotrabecular-Massive Hepatocellular Carcinoma |
| Lili Yang1, Meng Wang2, Yanyan Zhu1, Jiahui Zhang3, and Feng Chen1 | ||
1Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 2Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Radiology, Hangzhou Third Hospital, Hangzhou, China |
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Keywords: Liver, Cancer The macrotrabecular-massive (MTM) subtype of hepatocellular carcinoma (HCC) is aggressive and associated with an unfavorable prognosis. This study aimed to characterize MTM-HCC features based on contrast‑enhanced MRI and to evaluate the prognosis of imaging characteristics combined with pathology for predicting early recurrence and overall survival after surgery. This retrospective study included 123 and 59 patients with HCC that underwent preoperative contrast‑enhanced MRI and surgery, respectively. The multivariate analysis and multiple Cox regression analysis identified that corona enhancement combined with MVI risk was significantly associated with poor outcomes after surgery. |
| 0794 | 8:55
|
Motion Corrected DW-MRI With 3D Slice Level Motion Estimation In Pediatric Liver Tumors |
| SERGE DIDENKO VASYLECHKO1, LINA LU1, CEMRE ARIYUREK1, ONUR AFACAN1, and SILA KURUGOL1 | ||
1RADIOLOGY, BOSTON CHILDREN'S HOSPITAL, HARVARD MEDICAL SCHOOL, BOSTON, MA, United States |
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Keywords: Liver, Motion Correction Voxel misalignment due to unavoidable respiratory motion and bulk motion introduce large errors in DW-MRI quantitative parameter fitting. Apparent diffusion coefficient (ADC) is an effective tool for characterization of malignant tumors. In this study we evaluate the use of a motion correction method for DW-MRI imaging based on 3D slice level motion tracking using a rigid slice to volume registration and Kalman filtering. We show improvement in robustness of parameter estimation and reduction of blurring in b-value images for assessment of pediatric hepatoblastoma lesions. |
| 0795 | 9:03
|
Subclassification of Barcelona Clinic Liver Cancer Stage A HCC using fully automatic 3D segmentation-derived total tumor burden at MRI |
| Hong Wei1, Hanyu Jiang1, Yidi Chen1, Tianying Zheng1, Ting Yang1, Xiaolan Zhang2, Chao Zheng2, and Bin Song1 | ||
1West China Hospital, Sichuan University, Chengdu, China, 2Shukun (Beijing) Technology Co., Ltd, Beijing, China |
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Keywords: Liver, Cancer, Carcinoma, hepatocellular; Barcelona Clinic Liver Cancer; Overall survival; Tumor burden In the present study of 297 patients, we evaluated the role of three-dimensional (3D) quantitative tumor burden analysis using fully automatic segmentation at magnetic resonance imaging in the subcategorization of the Barcelona Clinic Liver Cancer (BCLC) stage A hepatocellular carcinoma (HCC) after curative resection. Our results demonstrated that 3D quantitative total tumor burden (TTB) and serum a-fetoprotein were independent predictors of overall survival and could be used to subcategorize the BCLC stage A HCC. Additionally, the higher TTB (>18.5%) was correlated to more aggressive tumor behaviors (i.e., microvascular invasion and poor tumor differentiation). |
| 0796 | 9:11
|
Long-term evolution of liver imaging reporting and Data system Version 2018 category 2, 3, and 4 observations on MRI in HBV-related cirrhosis |
| Fei Xing1, Yi shi Wang2, and Xian ce Zhao3 | ||
1the Third Affiliated Nantong Hospital of Nantong University, Nantong, China, 2Philips Healthcare, Beijing, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Liver, Cancer, HCC This study assessed the imaging outcomes of Liver Imaging Reporting and Data System (LI-RADS) v2018 category 2, 3, and 4 observations in prospective hepatocellular carcinoma (HCC) surveillance cohort. LI-RADS observations demonstrate increasing risk of progression to HCC with increasing category. About two-fifths of LR-4 progressed to a malignant category. LR-3 observations with APHE or threshold/subthreshold growth upgraded to LR-5 were significantly higher. Most LR-2 observations that remain stable in category for at least two years. |
| 0797 | 9:19
|
Incorporating diffusion weighted MRI into a radiomics model improves diagnostic performance in survival prediction in PDAC |
| Piaoe Zeng1, Jingjing Cui2, and Huihui Yuan3 | ||
1radiology, peking university third hospital, Beijing, China, 2United Imaging Intelligence (Beijing), Beijing, China, 3Peking university third hospital, Beijing, China |
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Keywords: Pancreas, Cancer, magnetic resonance imaging; radiomics; Radiomics features were extracted from multiparametric MRI including conventional MRI (T2WI, T1WI, arterial phase, portal venous phase images) and apparent diffusion coefficient (ADC). The radiomics score was built based on the least absolute shrinkage and selection operator regression model. Three models, including clinicopathological and radiographic characteristics (CPR) model, multiparametric MRI radiomics model and conventional MRI radiomics model, were built to predict recurrence-free survival (RFS) and overall survival (OS) in patients with resectable pancreatic ductal adenocarcinoma (PDAC). Multiparametric MRI radiomics model showed improved diagnostic performance in survival prediction than conventional MRI radiomics model and CPR model. |
| 0798 | 9:27
|
Magnetic resonance fingerprinting for objective and contrast-free focal liver lesion characterization: A preliminary study |
| Katsuhiro Sano1, Shohei Fujita1,2, Gastao Cruz3,4, Carlos Velasco3, Hideo Kawasaki1, Yuki Fukumura5, Akiyoshi Suzuki1, Yuichi Morita1, Koji Kamagata1, Issei Fukunaga1, Masami Yoneyama6, Ryohei Kuwatsuru1, Akio Saiura7, Kenichi Ikejima8, Rene Botnar3, Claudia Prieto3, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 4Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 5Department of Human Pathology, Juntendo University, Tokyo, Japan, 6MR Clinical Science, Philips Japan, Tokyo, Japan, 7Department of Hepatobiliary-Pancreatic Surgery, Juntendo University, Tokyo, Japan, 8Department of Gastroenterology, Juntendo University, Tokyo, Japan |
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Keywords: Liver, MR Fingerprinting Objective and contrast-free methods for differentiating benign focal liver lesions from malignant lesions (e.g., hepatocellular carcinomas and metastases) are desired. Herein, we evaluated the diagnostic capability of liver magnetic resonance fingerprinting (MRF) in patients with focal liver lesions. Liver MRF provided repeatable T1, T2, T2*, and fat-fraction values for various focal liver lesions. The liver MRF T1 and T2 relaxation times showed high agreement with separate conventional quantitative mapping measurements. Measurements of liver MRF and a combination of MRF relaxation times provided good differentiation of focal liver lesions (AUC of 0.87 for differentiating common benign lesions from common malignant lesions). |
| 0799 | 9:35
|
Utility of Thin-Slice Fat-Suppressed Single-Shot T2-Weighted MRI with Deep Learning Image Reconstruction for Pancreatic Cancer |
| Ryuji Shimada1,2, Keitaro Sofue2, Yuichiro Somiya1, Shintaro Horii1, Yushi Tujita2, Yoshiko Ueno2, Tetsuya Wakayama3, Akiko Kusaka1, and Takamichi Murakami1,2 | ||
1Center of Radiology and Radiation Oncology, Kobe University Hospital, Kobe, Japan, 2Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 3GE Healthcare, Hino, Japan |
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Keywords: Pancreas, Cancer We investigated the utility of breath-hold (BH) fat-suppressed single-shot T2-weighted MRI with deep learning image reconstruction (DLIR) in 42 patients with pancreatic cancer. Three fat-suppressed T2-weighted sequences of 1) single-shot fast-spin echo (SSFSE) of 6mm thickness with 1BH, 2) SSFSE of 3mm thickness with 2BH and 3) FSE of 6mm thickness with 3BH were compared. SSFSE sequences improved signal-to-noise ratio on anatomical organs, pancreas-to-lesion contrast, and image quality in terms of motion artifacts, image sharpness, and anatomical clarity in comparison with conventional FSE. The T2-weighted SSFSE with DLIR can be a useful sequence for the evaluation of pancreatic cancer. |
| 0800 | 9:43
|
Prediction of microvascular invasion in solitary hepatocellular carcinoma using bi-regional quantitative dynamic contrast-enhanced MRI |
| Yongjian Zhu1, Bing Feng1, Wei Cai1, Shuang Wang1, Lizhi Xie2, Xiaohong Ma1, and Xinming Zhao1 | ||
1Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2GE healthcare, China, Beijing, China |
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Keywords: Liver, Tumor, Pathology, Microvascular invasion The peri-tumoral region (PTR) of liver is the main-site of microvascular invasion (MVI) taken place, and contains perfusion information which could reflected the hemodynamic change during MVI. This study investigated the value of quantitative dynamic contrast-enhanced MRI (DCE-MRI) to evaluate the MVI status of hepatocellular carcinoma (HCC) in both intra-tumoral region (ITR) and PTR. The result showed quantitative DCE-MRI perfusion parameters could predict the MVI status in both ITR and PTR. Combining parameters from ITR and PTR could improve the prediction performance. Our study suggest quantitative DCE-MRI perfusion parameters could be employed as an efficient approach to predicting MVI status. |
| 0801 | 9:51
|
Differentiating Benign from Malignant Gallbladder Wall Thickening in Non-Contrast MRI Imaging: Preliminary Study of a Combined Indicator |
| Wen-Wen He1, Hai-Ge Li1, Jian-Guo Zhu1, Dmytro Pylypenko2, Fei Liu1, Mei Wang1, Yue-Fei Wu3, and Jun Tian3 | ||
1Radiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2GE Healthcare, China, Beijing, Beijing, China, 3The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China |
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Keywords: Cancer, Biliary This study evaluated the diagnostic accuracy of image features for differentiating benign from malignant gallbladder wall thickening disease with non-contrast MRI and constructed the optimal diagnostic indicator. 23 patients with wall thickening type gallbladder carcinoma and 61 patients with benign wall thickening disease were included. Six image indicators (the layered pattern on T2WI and DWI images, T2WI signal intensity, papillary growth, ADC value, and ratio of the ADC value of the lesion to that of liver parenchyma) were shown to have high diagnostic accuracy. The layered pattern on DWI combined with papillary growth was demonstrated as the optimal indicator. |
| 0803 | 9:59
|
Patient-specific computational model of interstitial fluid flow in pancreatic cancer based on DCE- and DW-MRI |
| Hooman Salavati1,2,3, Wim Ceelen1,3, Charlotte Debbaut2,3, Clarisse Lecluyse4, and Pim Pullens4,5,6 | ||
1Department of Human Structure and Repair, Ghent University, Ghent, Belgium, 2IBiTech – Biommeda, Ghent University, Ghent, Belgium, 3Cancer Research Institute Ghent (CRIG), Ghent, Belgium, 4Department of Radiology, Ghent University Hospital (UZGent), Ghent, Belgium, 5Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent, Belgium, 6IBiTech – Medisip, Ghent University, Ghent, Belgium |
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Keywords: In Silico, Simulations, Biomechanics The abnormal interstitial fluid flow (IFF) in solid tumors characterized by the elevated interstitial fluid pressure (IFP) is one of the major barriers for treating solid tumors. Here, we implemented DCE-MRI and IVIM DW-MRI in a clinical study to upgrade the existing basic mathematical framework of IFF to a patient-specific model. The results were compared with the basic model, which showed a noticeable difference regarding the prediction of the heterogeneity of IFF. |
| 0802 | 10:07
|
WITHDRAWN |
| 0804
|
8:15
|
Comparing 3D, 2.5D, and 2D Approaches to Brain MRI Segmentation |
| Arman Avesta1, Sajid Hossain1, MingDe Lin2, Mariam Aboian2, Harlan M Krumholz3, and Sanjay Aneja4 | ||
1Therapeutic Radiology, Yale Unviersity, New Haven, CT, United States, 2Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 3Division of Cardiovascular Medicine, Yale Unviersity, New Haven, CT, United States, 4Therapeutic Radiology, Yale University, New Haven, CT, United States |
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Keywords: Segmentation, Segmentation We compared 3D, 2.5D, and 2D approaches to brain MRI auto-segmentation and concluded that the 3D approach is more accurate, achieves better performance when training data is limited, and is faster to train and deploy. Our results hold across various deep-learning architectures, including capsule networks, UNets, and nnUNets. The only downside of 3D approach is that it requires 20 times more computational memory compared to 2.5D or 2D approaches. Because 3D capsule networks only need twice the computational memory that 2.5D or 2D UNets and nnUNets need, we suggest using 3D capsule networks in settings where computational memory is limited. |
| 0805
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8:23
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Thalamic segmentation methods in the characterization of Alzheimer's disease |
| Brendan Williams1, Dan Nguyen2, and Manojkumar Saranathan2 | ||
1University of Reading, Reading, United Kingdom, 2University of Massachusetts Chan Medical School, Worcester, MA, United States |
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Keywords: Segmentation, Segmentation We present a systematic comparison of three state of the art thalamic segmentation methods for T1 MRI. Segmentation performance against Krauth-Morel atlas was quantified on 100 young healthy subjects and thalamic atrophy as a function of Alzheimer's disease status was characterized on 540 older subjects. |
| 0806 | 8:31
|
Artifact-robust vascular segmentation for 3D phase-contrast MR angiography using a deep learning approach |
| Daiki Tamada1, Thekla H Oechtering1,2, Eisuke Takai3, and Scott B Reeder1,4,5,6,7 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, Universität zu Lübeck, Lübeck, Germany, 3MIRAI Technology Institute, Shiseido Co., Ltd., Tokyo, Japan, 4Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Emergency, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Segmentation, Segmentation, phase contrast MRA We developed a segmentation algorithm for PC-MRA using a deep-learning approach, with the goal of achieving artifact-robust segmentation for PC-MRA. To simulate flow-related artifacts of MRA, Gaussian noise and phase error were added to the k-space domain of the datasets. LadderNet consists of two consecutive U-nets with skip connections, and has been adopted as a training network for vessel segmentation. Retrospective studies demonstrated superior accuracy and precision of the proposed method over a conventional level set segmentation method. |
| 0807 | 8:39
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Towards a probabilistic structural atlas of brainstem nuclei in elderly humans using in-vivo 7 Tesla multi-contrast MRI |
| Subhranil Koley1, Kavita Singh1, Maria G. Garcia-Gomar1,2, and Marta Bianciardi1,3 | ||
1Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 2Escuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de México, Queretaro, Mexico, 3Division of Sleep Medicine, Harvard University, Boston, MA, United States |
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Keywords: Segmentation, Aging, Brainstem atlas Brainstem nuclei are involved in several vital functions; impairment in their structure and function is manifested in several clinical conditions of elderly humans, including sleep/arousal/movement/vestibular/anxiety disorders, chronic pain and altered autonomic functions. Brainstem evaluation in health and disease is currently limited by the difficulty of localizing these regions in conventional MRI. We developed an in-vivo probabilistic atlas of 31 brainstem nuclei in elderly humans by the use of multi-contrast 7 Tesla MRI in 15 elderly subjects and of an existing brainstem nuclei atlas in younger adults. This atlas can be applied to conventional MRI and aid brainstem investigation in aging. |
| 0808 | 8:47
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InnerEye as a Tool for Accurate Hippocampal Segmentation |
| Anna Schroder1, James Moggridge2,3, Jiaming Wu1,4, Hamza A. Salhab2,3, Sjoerd Vos5, Melissa Bristow6, Fernando Pérez-García6, Javier Alvarez-Valle6, Tarek A. Yousry2,3, John S. Thornton2,3, Frederik Barkhof1,3,4,7, Matthew Grech-Sollars1,2, and Daniel C. Alexander1 | ||
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 3Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom, 4Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 5Centre for Microscopy, Characterisation & Analysis, University of Western Australia, Perth, Australia, 6Health Futures, Microsoft Research Cambridge, Cambridge, United Kingdom, 7Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands |
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Keywords: Segmentation, Brain, Hippocampus Accurate hippocampal segmentation tools are critical for monitoring neurodegenerative disease progression on MRI and assessing the impact of interventional treatment. Here we present the InnerEye hippocampal segmentation model and evaluate this new model against three standard segmentation tools in an Alzheimer’s disease dataset. We found InnerEye performed best for Dice score, precision and Hausdorff distance. InnerEye performs consistently well across the different cognitive diagnoses, while performance for other methods decreased with cognitive decline. |
| 0809 | 8:55
|
NeuroVerse: Neuroimage Processing Tools Across a Century of Life |
| Sahar Ahmad1, Xiaoyang Chen1, Wenjiao Lyu1, Jinjian Wu1, Yifan Li1, Yicheng Zou1, Kim-Han Thung1, Siyuan Liu1, and Pew-Thian Yap1 | ||
1Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: Segmentation, Brain, Surface reconstruction; Lifespan analysis The availability of large-scale multi-site neuroimaging data present unprecedented opportunities for revealing the brain's macroscopic and microscopic organization across the lifespan. Existing neurodevelopmental studies lack consensus, owing to variable preprocessing methods that result in inconsistent brain features. Existing neuroimage processing tools typically cater to specific life periods, limiting their applicability to data covering the entire human lifespan. Here, we present robust automatic tools for accurate and consistent processing of neuroimaging data covering a century of life. |
| 0810 | 9:03
|
Exploiting the inter-rater disagreement to improve probabilistic segmentation |
| Soumick Chatterjee1,2,3, Franziska Gaidzik4, Alessandro Sciarra3,5, Hendrik Mattern3, Gabor Janiga4, Oliver Speck3,6,7, Andreas Nürnberger1,2,7, and Sahani Pathiraja8 | ||
1Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany, 2Data and Knowledge Engineering Group, Otto von Guericke University Magdeburg, Magdeburg, Germany, 3Department of Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany, 4Laboratory of Fluid Dynamics and Technical Flows, Otto von Guericke University Magdeburg, Magdeburg, Germany, 5MedDigit, Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany, 6German Center for Neurodegenerative Disease, Magdeburg, Germany, 7Center for Behavioral Brain Sciences, Magdeburg, Germany, 8School of Mathematics & Statistics, University of New South Wales, Sydney, Australia |
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Keywords: Segmentation, Brain Disagreements among the experts while segmenting a certain region can be observed for complex segmentation tasks. Deep learning based solution Probabilistic UNet is one of the possible solutions that can learn from a given set of labels for each individual input image and then can produce multiple segmentations for each. But, this does not incorporate the knowledge about the segmentation distribution explicitly. This research extends the idea by incorporating the distribution of the plausible labels as a loss term. The proposed method could reduce the GED by 47% and 63% for multiple sclerosis and vessel segmentation tasks. |
| 0811 | 9:11
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EVAC: Multi-scale V-Net with Deep Feature Conditional Random Field Layers for Brain Extraction |
| Jong Sung Park1, Shreyas Fadnavis2, and Eleftherios Garyfallidis1 | ||
1Intelligent Systems Engineering / Neuroscience, Indiana University, Bloomington, Bloomington, IN, United States, 2Harvard University, Cambridge, MA, United States |
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Keywords: Segmentation, Brain Brain Extraction is a complicated semantic segmentation task. While Deep Learning methods are popularly used, they are heavily biased towards the training dataset. To reduce this dependency, we present EVAC (Enhanced V-net like Architecture with Conditional Random Fields), a novel Deep Learning model for Brain Extraction. Using V-net as a skeleton, we propose three improvements: multi-scale inputs, modified CRF layer and regularizing Dice Loss. Results show that these changes not only increase accuracy but also the efficiency of the model as well. Compared to the state-of-the-art methods, our model achieves high and stable accuracy across datasets. |
| 0812 | 9:19
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The ensemble of optimized Deep Learning Neural Networks improves the estimate of the Choroid Plexus Volume: application to Multiple Sclerosis |
| Valentina Visani1, Valerio Natale2, Annalisa Colombi3, Agnese Tamanti3, Alessandra Bertoldo1, Corina Marjin3, Francesca Benedetta Pizzini2, Massimiliano Calabrese3, and Marco Castellaro1 | ||
1Department of Information Engineering, University of Padova, Padova, Italy, 2University Hospital of Verona, Verona, Italy, 3Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy |
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Keywords: Segmentation, Machine Learning/Artificial Intelligence, Choroid Plexus The Choroid Plexus (ChP) is a brain vascular tissue involved in regulatory processes. ChP Volume (ChPV) modifications are related to neurodegenerative disorders, consequently, it was suggested the use of ChPV as biomarker. This work proposes a method for the automatic segmentation of ChP based on Deep-Learning Neural-Networks (DNNs) hyperparameters optimization. Ninety-Six hyperparameters and architectures combinations were trained on T1-w MRI in MONAI, first selection was made on bias and variance and best DNNs were ensembled by major voting. Ensemble model outperforms single DNNs and freely available software (FreeSurfer, Gaussian Mixture Model), highlighting the ensembles DNNs exploitability to automatically estimate ChPV. |
| 0813 | 9:27
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GIF_boost : A Generalisable Hybrid Brain Tissue Segmentation with DeepLearning |
| JIAMING WU1, Giuseppe Pontillo1,2, Zoe Mendelsohn1,2,3, Yipeng Hu1, Frederik Barkhof1,4, and Ferran Prados1,2,5 | ||
1Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 2Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Department of Radiology, Charité School of Medicine and University Hospital Berlin, Berlin, Germany, 4Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands, 5e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain |
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Keywords: Segmentation, Segmentation Image segmentation and parcellation can provide quantitative assessment of the brain and can guide diagnosis and treatment decision-making. Geodesic Information Flow (GIF) is a freely available brain tissue segmentation and parcellation MRI-based tool using a classical label fusion approach. In this work, we introduce GIF_boost, a hybrid solution that takes advantages of deep learning to accelerate the bottleneck step of the template library registration. We compared GIF_boost with the original version of GIF and FreeSurfer (a state-of-the-art method). GIF_boost performed parcellation minimum 16 times faster. Parcellations had a similar Dice coefficient and Hausdorff distance and an improved volumetric quantification. |
| 0814 | 9:35
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Segmentation of Brain Structures MR Images via Semi-Supervised Learning |
| Rui Li1, Ziming Xu1, Runyu Yang1, Jiaqi Dou1, Tianyi Yan2, and Huijun Chen1 | ||
1Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China, 2School of Life Science, Beijing Institute of Technology, Beijing, China |
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Keywords: Segmentation, Brain The precise segmentation of brain structures is of great importance in quantitatively analyzing brain medical resonance images. In recent years, more and more experts attempt to apply semi-supervised learning to medical image segmentation tasks, since it could make use of the rich unlabeled data. Based on this, we modified a segmentation model based on semi-supervised learning for automatically segmenting brain structures. We tested model on two hippocampus public datasets and results show that our model has considerable segmentation performance compared with that of model trained in a supervised manner, which illustrates the effectiveness and potential of our model. |
| 0815 | 9:43
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Automated Brain Tumour Segmentation in Glioblastoma: Can similar performance be achieved using a shorter imaging protocol? |
| Catarina Passarinho1, Oscar Lally2, Patrícia Figueiredo1, and Rita G. Nunes1 | ||
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2King's College London, London, United Kingdom |
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Keywords: Segmentation, Brain The same deep learning model was trained for automated segmentation of glioblastoma tumour regions using either four or two MRI modalities. The performance of the model trained with only two images was found to be comparable to that of the longer protocol, suggesting that the excluded images and the consequent longer training time did not contribute significantly to the accuracy of the model. These findings strongly imply that this training approach may be beneficial for clinical applications, as it would result in reduced costs due to shorter scanner times, lower computational requirements and increased patient throughput, without compromising segmentation accuracy. |
| 0816 | 9:51
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Sparse Annotation Deep Learning for Prostate Segmentation of Volumetric Magnetic Resonance Images |
| Yousuf Babiker M. Osman1,2, Cheng Li1,3, Weijian Huang1,2,4, Nazik Elsayed1,2,5, Zhenzhen Xue1,3, Hairong Zheng1, and Shanshan Wang1,3,4 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China, 4Peng Cheng Laboratory, Shenzhen, China, 5Faculty of Mathematical and Computer Sciences, University of Gezira, Wad Madani, Sudan |
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Keywords: Segmentation, Prostate Deep neural networks (DNNs) have achieved unprecedented performances in various medical image segmentation tasks. Nevertheless, DNN training requires a large amount of densely labeled data, which are labor-intensive and time-consuming to obtain. Here, we address the task of segmenting volumetric MR images using extremely sparse annotations, for which only the central slices are labeled manually. In our framework, two independent sets of pseudo labels are generated for unlabeled slices using self-supervised and semi-supervised learning methods. Boolean operation is adopted to achieve robust pseudo labels. Our approach can be very important in clinical applications to reduce manual effort on dataset construction. |
| 0817
|
9:59
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Automatic Segmentation and Diagnosis of Breast Cancer in Multicenter Data based on Deep Learning and Tissue-specific Histogram Normalization |
| Yansong Bai1, Rencheng Zheng1, Weibo Chen2, Chao You3, Chengyan Wang4, and He Wang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Shanghai Cancer Center, Fudan University, Shanghai, China, 4Human Phenome Institute, Fudan University, Shanghai, China |
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Keywords: Segmentation, Breast This study presented an intelligent diagnosis system to segment breast tumors in dynamic contrast-enhanced (DCE) images from multicenter dataset and determine the risk of triple-negative breast cancer (TNBC) with a four-step model: a) breast segmentation with no-new Unet (nnUnet); b) multicenter data normalization using Tissue-specific Histogram Normalization (TSHN); c) tumor segmentation with nnUnet model and d) automatic diagnosis of breast cancer with radiomics analysis based on segmented masks. The proposed model exhibited a superior performance in segmentation and diagnosis of breast cancer in multicenter data.
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| 0818 | 10:07
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Automated Processing and Segmentation of Abdominal Structures Using a Hybrid Attention-Convolutional Neural Network Model |
| Nicolas Basty1, Ramprakash Srinivasan2, Marjola Thanaj1, Elena P Sorokin2, Madeleine Cule2, E Louise Thomas1, Jimmy D Bell1, and Brandon Whitcher1 | ||
1University of Westminster, London, United Kingdom, 2Calico Life Sciences LLC, South San Francisco, CA, United States |
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Keywords: Data Analysis, Body, Deep learning, Dixon Automated image processing and organ segmentation are critical to the quantitative analysis of population-scale imaging studies. We have implemented an end-to-end pipeline for neck-to-knee Dixon MRI data based on the UK Biobank abdominal protocol. Bias-field correction, blending across series boundaries, and fat-water swap correction are performed in the preprocessing steps. A hybrid attention-convolutional neural network model segments multiple abdominal organs, major bones, along with adipose and muscle tissue. The application of neural network models, to both swap detection and segmentation, produces a computationally-efficient pipeline that scales to accommodate tens of thousands of datasets. |
| 0819
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Pitch: 8:15 Poster: 8:15 Screen 1
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Attention mechanisms for sharing low-rank, image and k-space information during MR image reconstruction |
| Siying Xu1, Kerstin Hammernik2,3, Patrick Krumm1, Sergios Gatidis1,4, and Thomas Küstner1 | ||
1Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2Lab for AI in Medcine, Technical University of Munich, Munich, Germany, 3Department of Computing, Imperial College London, London, United Kingdom, 4Max Planck Institute for Intelligent Systems, Tuebingen, Germany |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Image Reconstruction, Heart Cardiac CINE MR imaging requires long acquisitions under multiple breath-holds. With the development of deep learning-based reconstruction methods, the acceleration rate and reconstructed image quality have been increased. However, existing methods face several shortcomings, such as limited information-sharing across domains and generalizability which may restrict their clinical adoption. To address these issues, we propose A-LIKNet which incorporates attention mechanisms and maximizes information sharing between low-rank, image, and k-space in an interleaved architecture. Results indicate that the proposed A-LIKNet outperforms other methods for up to 24x accelerated acquisitions within a single breath-hold. |
| 0820
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Pitch: 8:15 Poster: 8:15 Screen 2
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IMJENSE: scan-specific IMplicit representation for Joint coil sENSitivity and image Estimation in parallel MRI |
| Ruimin Feng1, Qing Wu2, Yuyao Zhang2, and Hongjiang Wei1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2School of Information Science and Technology, ShanghaiTech University, Shanghai, China |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, implicit neural representation Current parallel imaging techniques for MRI acceleration can still not reliably reconstruct a high-quality image from highly reduced k-space measurements with fewer calibration data. In this study, we applied the new insight of implicit neural representation (INR) to parallel MRI reconstruction. The underlying MRI image and coil sensitivities were modeled as continuous functions of spatial coordinates. These functions were simultaneously learned from the sparsely-acquired k-space itself without additional training data. Thanks to the continuous representation and joint estimation scheme, the proposed method outperforms the existing scan-specific methods, demonstrating its potential for further accelerating the MRI acquisition. |
| 0821 | Pitch: 8:15 Poster: 8:15 Screen 3
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Monotone Operator Learning: a robust and memory-efficient physics-guided deep learning framework |
| Aniket Pramanik1 and Mathews Jacob1 | ||
1Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence MRI has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability. In the recent years, model-based deep learning methods have been emerging as more powerful alternatives for image recovery. The main focus of this paper is to introduce a model based algorithm with similar theoretical guarantees as CS methods. The proposed deep equilibrium formulation is significantly more memory-efficient than unrolled methods, which allows us to apply it to 3D or 2D+time problems that current unrolled algorithms cannot handle. Our results also show that the approach is more robust to input perturbations than current unrolled methods. |
| 0822 | Pitch: 8:15 Poster: 8:15 Screen 4
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Architecture-agnostic Deep Image Prior for Accelerated MRI reconstruction |
| Yilin Liu1, Yong Chen2, and Pew-thian Yap3 | ||
1Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence This work aims to simplify deep image prior (DIP) architectural design decisions in the context of unsupervised accelerated MRI reconstruction, facilitating the deployment of MRI-DIP in real-world settings. We first show that architectures inappropriate for specific MRI datasets (knee, brain) can lead to severe reconstruction artifacts, and then demonstrate that proper network regularization can dramatically improve image quality irrespective of network architectures. The proposed plug-and-play regularization is applicable to any network form without architectural modifications. |
| 0823 | Pitch: 8:15 Poster: 8:15 Screen 5
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MERLIN: In-depth investigation on complex-valued image reconstruction in PyTorch and Tensorflow |
| Maarten Terpstra1,2, Kerstin Hammernik3,4, Thomas Küstner5, Matteo Maspero1,2, Cornelis van den Berg1,2, and Daniel Rueckert3,4 | ||
1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR Diagnostics & Therapy, University Medical Center Utrecht, Utrecht, Netherlands, 3Lab for AI in Medcine, Technical University of Munich, Munich, Germany, 4Department of Computing, Imperial College London, London, United Kingdom, 5Medical Image And Data Analysis (MIDAS.lab), University Hospital of Tübingen, Tübingen, Germany |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence Machine learning (ML) has become a powerful technique for reconstructing undersampled MRI. However, applying ML to MRI reconstruction requires several essential building blocks, consisting of general operations and MRI-specific operators in the context of reconstruction. While the former are available in generic frameworks such as Keras/TensorFlow or PyTorch, the MR-specific operators are generally custom-implemented. MERLIN was proposed as a generic toolkit for ML-based medical imaging to harmonize the machine learning landscape and to provide complex-valued interfaces for commonly used back-ends. Here, we evaluate MERLIN as a cross-platform toolkit for complex-valued image reconstruction. |
| 0824 | Pitch: 8:15 Poster: 8:15 Screen 6
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Real-time deep learning non-Cartesian image reconstruction using a causal variational network |
| Prakash Kumar1 and Krishna S Nayak1 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Real-Time Real-time MRI captures movements and dynamic processes in human body without reliance on any repetition or synchronization. Many applications require low-latency (typically <200ms) for guidance of interventions or closed-loop feedback. Standard constrained optimization methods are too slow to be implemented “online”. We demonstrate a non-Cartesian deep learning image reconstruction method based on the end-to-end variational network. Training data are created using traditional high latency compressed sensing reconstruction as the reference, with the goal of achieving similar results with low latency. We demonstrate reconstruction latencies of 95ms per frame, with nRMSE of 0.045 and SSIM of 0.95. |
| 0825 | Pitch: 8:15 Poster: 8:15 Screen 7
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Deep-learning-based transformation of magnitude images to synthetic raw data for deep-learning-based image reconstruction |
| Frank Zijlstra1,2 and Peter T While1,2 | ||
1Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 2Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, synthetic data, compressed sensing, accelerated imaging This study demonstrates using generative deep learning for transforming magnitude-only images into synthetic raw data for deep-learning-base image reconstruction. Using relatively few raw datasets, a set of neural networks was trained to generate the missing phase and coil sensitivity information in magnitude-only images. These maps are then recombined into synthetic raw data. We trained end-to-end variational networks for 4-fold accelerated compressed sensing reconstruction on the FastMRI dataset, with increasing training set size. Synthetic raw data showed similar improvements as real raw data with increasing data. This shows promise for applying deep-learning-based image reconstruction when raw data is scarce. |
| 0826 | Pitch: 8:15 Poster: 8:15 Screen
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WITHDRAWN |
| 0827 | Pitch: 8:15 Poster: 8:15 Screen 8
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Accelerated MRI Reconstruction using Adaptive Diffusion Probabilistic Networks |
| Alper Güngör1,2,3, Salman Ul Hassan Dar1,2, Şaban Öztürk1,2,4, Yilmaz Korkmaz1,2, Gokberk Elmas1,2, Muzaffer Ozbey1,2, and Tolga Çukur1,2,5 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3ASELSAN Research Center, Ankara, Turkey, 4Amasya University, Amasya, Turkey, 5Neuroscience Program, Bilkent University, Ankara, Turkey |
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Keywords: Image Reconstruction, Image Reconstruction Learning-based MRI reconstruction is commonly performed using non-adaptive models with frozen weights during inference. Non-adaptive conditional models poorly generalize across variable imaging operators, whereas non-adaptive unconditional models poorly generalize across variations in the image distribution. Here, we introduce a novel adaptive method, AdaDiff, that trains an unconditional diffusion prior for high-fidelity image generations and adapts the prior during inference for improved generalization. AdaDiff outperforms state-of-the-art baselines both visually and quantitatively. |
| 0828 | Pitch: 8:15 Poster: 8:15 Screen 9
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Multi-echo MRI Reconstruction with Iteratively Refined Zero-shot Spatio-Temporal Deep Generative Prior |
| Tae Hyung Kim1,2,3, Jaejin Cho2,3, Borjan Gagoski3,4, Zijing Dong2,3, Fuyixue Wang2,3, So Hyun Kang1, and Berkin Bilgic2,3,5 | ||
1Department of Computer Engineering, Hongik University, Seoul, Korea, Republic of, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 5Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States |
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Keywords: Image Reconstruction, Brain The subspace method has been widely used for multi-echo/contrast MRI reconstruction, assuming the temporal MR signal evolution can be compactly represented using a few linear coefficients. Recently, methods based on artificial neural networks (trained with large datasets) enabled nonlinear representations of temporal or spatio-temporal MR signals and demonstrated improved performance. This work proposes a novel zero-shot spatio-temporal generative prior for multi-echo/contrast MRI reconstruction, assuming the spatio-temporal MR signals can be nonlinearly generated using deep generative neural networks without external training data. The proposed method was evaluated with 3D-QALAS and EPTI data, and exhibited substantial improvement in NRMSE against existing methods. |
| 0829 | Pitch: 8:15 Poster: 8:15 Screen 10
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SubZero: Subspace Zero-Shot MRI Reconstruction |
| Heng Yu1, Yamin Arefeen2, and Berkin Bilgic3,4 | ||
1The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, United States, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Deep Learning Recently introduced zero-shot self-supervised learning (ZS-SSL) has shown potential in accelerated MRI in a scan-specific scenario, which enabled high quality reconstructions without access to a large training dataset. ZS-SSL has been further combined with the subspace model to accelerate 2D T2-shuffling acquisitions. In this work, we propose a parallel network framework and introduce attention mechanism to improve subspace based zero-shot self-supervised learning and enable higher acceleration factors. We name our method SubZero and demonstrate that it can achieve improved performance compared with current methods in T1 and T2 mapping acquisitions . |
| 0830 | Pitch: 8:15 Poster: 8:15 Screen 11
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Using Noisier2Noise to choose the sampling mask partition of Self-Supervised Learning via Data Undersampling (SSDU) |
| Charles Millard1 and Mark Chiew1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford, United Kingdom |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Self-supervised learning To train a neural network to recover images with sub-sampled examples only, Self-Supervised Learning via Data Undersampling (SSDU) proposes partitioning the sampling mask into two subsets and training a network to recover one from the other. Recent work on the connection between SSDU and the self-supervised denoising method Noisier2Noise has shown that superior reconstruction quality is possible when the distribution of the partition matches the sampling mask. We test this principle on three types of sampling schemes and find that the test set loss is indeed closest to a fully supervised benchmark when the partition distribution is matched. |
| 0831 | Pitch: 8:15 Poster: 8:15 Screen 12
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Self-Supervised Deep Learning Reconstruction for Highly Accelerated Diffusion Imaging |
| Ismail Arda Vurankaya1, Yohan Jun2,3, Jaejin Cho2,3, and Berkin Bilgic2,3 | ||
1Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Image Reconstruction, Image Reconstruction We propose a zero-shot self-supervised learning (ZS-SSL) approach for accelerated diffusion MRI reconstruction. Our method builds on the approach in [3] for subject-specific MRI reconstruction. We perform reconstruction across all diffusion directions with a single model, rather than different models for each direction, reducing computation time. We partition the directions as training and validation directions. We train the model on training directions, while keeping track of validation loss. We test our model on entire directions, evaluating the reconstruction quality of a single network across all directions. Jointly trained ZS-SSL provides better reconstructions than standard parallel imaging, while remaining computationally efficient. |
| 0832 | Pitch: 8:15 Poster: 8:15 Screen 13
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A noise-robust accelerated MRI reconstruction using CycleGAN |
| Seonghyuk Kim1, Wonil Lee1, Namho Jeong1, Jeewon Kim1, Jongyeon Lee1, Beomgu Kang1, and HyunWook Park1 | ||
1Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Republic of |
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Keywords: Parallel Imaging, Machine Learning/Artificial Intelligence, Noise-robust method We propose a novel loss function that increases noise-robustness in accelerated parallel MR image reconstruction. The loss function is based on the variance of the background area in the noisy undersampled image and that of the difference image between noisy undersampled image and the synthesized undersampled image. The proposed loss function provides stronger regularization and robustness when applied along with other constraints. We show that the application of the proposed loss function boosts performance of the network, yielding improved quality of reconstructed image. |
| 0833 | Pitch: 8:15 Poster: 8:15 Screen 14
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SVD Compression for Nonlinear Encoding Imaging with Model-based Deep Learning Reconstruction |
| Zhehong Zhang1, Kartiga Selvaganesan1, Yonghyun Ha2, Chenhao Sun2, Anja Samardzija1, Heng Sun1, Gigi Galiana1,2, and R. Todd Constable1,2,3,4 | ||
1Department of Biomedical Engineering, School of Engineering and Applied Science, Yale University, New Haven, CT, United States, 2Department of Radiology and Biomedical Imaging, School of Medicine, Yale University, New Haven, CT, United States, 3Interdepartmental Neuroscience Program, School of Medicine, Yale University, New Haven, CT, United States, 4Department of Neurosurgery, School of Medicine, Yale University, New Haven, CT, United States |
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Keywords: Image Reconstruction, Signal Representations, Nonlinear Encoding Model-based deep learning reconstruction with a nonlinear encoding matrix poses unique challenges to GPU memory, due to the densely connected computational graph nodes in the physics model part. In this work, SVD compression is demonstrated as necessary for such networks, and it is applied to the highly nonlinear case of Bloch-Siegert encoding from a low-field MR scanner. The redundancy across all nonlinear encoding dimensions is exploited for compression. With the compressed encoding matrix, the model-based network is feasible to implement. It outperforms the traditional reconstruction at all levels of simulated Gaussian noise and has advantages over commonly used regularization terms. |
| 0834 | Pitch: 8:15 Poster: 8:15 Screen 15
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NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data |
| Samah Khawaled1 and Moti Freiman 2 | ||
1The Interdisciplinary Applied mathematics Program, Technion, Haifa, Israel, 2Faculty of Biomedical Engineering, Technion, Haifa, Israel |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence Deep learning (DL) models are currently employed to reconstruct high quality MRI image from undersampled k-space measurements. Yet, uncertainty quantification in images reconstructed by such models is critical for reliable clinical decision making. We propose NPBREC, a non-parametric Bayesian approach for uncertainty estimation in DL-based MRI reconstruction. We demonstrated the added-value of our Bayesian registration framework on the fastmri multi-coil brain MRI dataset, compared to the baseline E2E-VarNet trained with and without inference-time dropout for uncertainty quantification. Our NPBREC approach demonstrated both improved reconstruction accuracy and a better correlation between reconstruction errors and uncertainty measures. |
| 0835 | Pitch: 8:15 Poster: 8:15 Screen 16
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DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging |
| Zhenghan Fang1, Kuo-Wei Lai1, Peter van Zijl1, Xu Li1, and Jeremias Sulam1 | ||
1The Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Image Reconstruction, Susceptibility, Susceptibility Tensor Imaging The application of STI in human in vivo has been practically infeasible because of its time-consuming acquisition scheme. We propose a novel image reconstruction algorithm for STI that leverages data-driven priors to tackle this issue. Our method, called DeepSTI, learns the data prior implicitly via a deep neural network that resembles the proximal operator of a regularizer function. The dipole inversion problem is then solved iteratively using the learned proximal network. Experimental results demonstrate superior performance of DeepSTI over state-of-the-art methods. DeepSTI is the first reconstruction method to achieve high quality results for human STI with fewer than six orientations. |
| 0836 | Pitch: 8:15 Poster: 8:15 Screen 17
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Attention-Based Multi-Offset Deep Learning Reconstruction for Accelerating Chemical Exchange Saturation Transfer MRI |
| Zhikai Yang1,2, Liu Yang1,2, Rohith Saai Pemmasani Prabakaran2, AbdulMojeed Olabisi ILYAS2, Jianpan Huang1, and Kannie W. Y. Chan1,2,3,4,5 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong, 3City University of Hong Kong Shenzhen Research Institute, Shenzhen, China, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, Hong Kong |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence We proposed an attention-based multi-offset network to exploit redundant anatomy information for the reconstruction of CEST-MR image (AMO-CEST). To the best of our knowledge, this is the first work using deep learning with varied radial sample patterns and multi-offset slices as input to accelerate CEST-MRI. Compared with other deep learning-based methods on the four times under-sampling mouse brain CEST dataset, the AMO-CEST achieved the best performance with an MMSE of , a PSNR of dB, and an SSIM . In conclusion, the proposed AMO-CEST network can accelerate the CEST-MRI at high down-sampling rate while maintaining good image quality. |
| 0837 | Pitch: 8:15 Poster: 8:15 Screen 18
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Investigating VoxelMorph Image Registration for Fast 4D Respiratory Compensated Image Reconstruction on an MR-Linac |
| Rosie Goodburn1, Movindu Dassanayake2, Bastien Lecoeur1, Prashant Nair1, Uwe Oelfke1, and Andreas Wetscherek1 | ||
1Institute of Cancer Research, London, United Kingdom, 2Imperial College London, London, United Kingdom |
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Keywords: Image Reconstruction, Radiotherapy Respiratory resolved (4D)-MRI is expected to benefit MRI-guided radiotherapy for abdominal-thoracic cancers. However, a current limitation of 4D-MRI is that one has to trade-off between artefacts, spatial-temporal resolution, and spatial coverage. Deformable image registration has been employed to enhance image quality of undersampled 4D-MRIs, but such approaches are usually too slow to be used in MR-guided radiotherapy workflows. We investigated the feasibility of employing models trained using the VoxelMorph framework with a view of leveraging a fast computation to minimise 4D-MRI reconstruction time on the MR-Linac. The models performed well and were ~48 times faster than a common registration method. |
| 0838 | Pitch: 8:15 Poster: 8:15 Screen 19
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Accelerated 3D Myelin Water Imaging: Jointly Unrolled Cross-domain Optimization-based Spatio-Temporal Reconstruction Network |
| Jae-Hun Lee1, Dongyeob Han2, Jae-Yoon Kim1, and Dong-Hyun Kim1 | ||
1Department of Electrical and Electronic Engineering, Yonsei Univ., Seoul, Korea, Republic of, 2Siemens Healthineers Ltd, Siemens Korea, Seoul, Korea, Republic of |
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Keywords: Parallel Imaging, Image Reconstruction, Quantitative Imaging, White Matter Recently, acceleration of 3D multi-echo gradient-echo (mGRE) acquisition for myelin water imaging (MWI) has been achieved using parallel imaging (PI) or deep learning network. However, these methods typically allow a low acceleration factor (R) for MWI because of the high sensitivity of the MWI estimation routine with respect noise/artifacts. Here, we developed a reconstruction deep learning network called the jointly unrolled cross-domain optimization-based spatio-temporal reconstruction network. According to retrospective and prospective reconstruction results, the proposed method achieved high-fidelity performance on the reconstructed mGRE images and MWI maps. |
| 0839
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Pitch: 8:15 Poster: 8:15 Screen 21
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Pre-treatment hyperpolarized 13C-lactate to 13C-bicarbonate ratio predicts response of brain metastases to stereotactic radiosurgery |
| Nicole I.C. Cappelletto1, Hany Soliman2, Casey Y. Lee1, Nadia D. Bragagnolo3, Biranavan Uthayakumar1, Arjun Sahgal2, Albert P. Chen4, Ruby Endre3, Nathan Ma5, William J. Perks5, Jay S. Detsky2, Chris Heyn6, and Charles H. Cunningham1,3 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 4GE Healthcare, Toronto, ON, Canada, 5Pharmacy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Radiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada |
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Keywords: Hyperpolarized MR (Non-Gas), Cancer, Treatment Response Prediction, Radiotherapy, Brain Metastases, Metabolism Brain metastases are increasingly being treated with stereotactic radiosurgery; however, 20-30% of treated tumors locally recure post treatment. Hyperpolarized [1-13C]pyruvate magnetic resonance imaging (HP 13C MRI) is an emerging metabolic imaging modality that measures key metabolic phenotypes indicative of aggressive tumor phenotypes. Here we show that the pre-treatment tumor 13C-lactate to 13C-bicarbonate ratio – a marker of glycolysis and (indirectly) oxidative phosphorylation – measured via HP [1-13C]pyruvate MRI is a robust predictor of local recurrence (AUCROC=0.95, p=0.0008; AUCPRC=0.92) and can inform treatment decisions should the model predict a non-response to SRS. |
| 0840 | Pitch: 8:15 Poster: 8:15 Screen 22
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Deconvolution for Hyperpolarized Magnetic Resonance Imaging |
| Jack J. Miller1,2, Nikolaj Bøgh1, Andrew Tyler3, Justin Y C Lau4, Esben Søvsø Szocska Hansen1, Michael Væggemose1,5, Oliver Rider6, Damian Tyler6, and Christoffer Laustsen1 | ||
1The MR Research Centre, Aarhus University, Aarhus, Denmark, 2OCMR, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 3King's College London, London, United Kingdom, 4GE Healthcare, Schenectady, NY, United States, 5GE Healthcare, Brøndby, Denmark, 6OCMR, RDM, University of Oxford, Oxford, United Kingdom |
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Keywords: Hyperpolarized MR (Non-Gas), Data Analysis Hyperpolarized metabolic imaging is translating into clinical practice. However, the desire to obtain chemical, spatial and temporal information combined with the finite and non-renewable exogenous magnetisation provided by hyperpolarized techniques often results in imaging sequences with a poor point-spread function. Here we compare multiple deconvolution algorithms to improve apparent reconstructed resolution, as is commonly performed in PET imaging. We show that deconvolution can significantly improve the reconstructed resolution of hyperpolarized images. |
| 0841 | Pitch: 8:15 Poster: 8:15 Screen 23
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Hyperpolarized δ-[1-13C]-gluconolactone reports on TERT expression and response to therapy in brain tumors |
| Georgios Batsios1, Celine Taglang1, Anne Marie Gillespie1, and Pavithra Viswanath1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Hyperpolarized MR (Non-Gas), Cancer, animals, preclinical, brain, metabolism TERT expression is essential for telomere maintenance and uncontrolled tumor proliferation in oligodendrogliomas. TERT is an attractive therapeutic target and the drug 6-thio-2’-deoxyguanosine that disrupts telomere maintenance is in clinical trials for cancer. We previously showed that TERT expression is associated with upregulation of the pentose phosphate pathway in oligodendrogliomas. Here, we have established the ability of hyperpolarized δ-[1-13C]-gluconolactone, a probe of the pentose phosphate pathway, to assess TERT expression and response to 6-thio-2’-deoxyguanosine in oligodendrogliomas in vivo. Our findings provide a non-invasive method of imaging a hallmark of cancer and have the potential to improve management of oligodendroglioma patients. |
| 0842
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Pitch: 8:15 Poster: 8:15 Screen 24
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Image- and spectroscopy-based quantitative assessment of renal function using hyperpolarized 13C-labelled Z-OMPD |
| Martin Grashei1, Pascal Wodtke1, Jason G Skinner1, Sandra Sühnel1, Nadine Setzer1, Christian Hundshammer1, and Franz Schilling1 | ||
1TUM School of Medicine, Department of Nuclear Medicine, Technical University of Munich, Munich, Germany |
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Keywords: Hyperpolarized MR (Non-Gas), Non-Proton, Z-OMPD, Urea, Kidney Fast and accurate assessment of kidney function is crucial for monitoring and detection of kidney disease and failure in various oncological scenarios. Current techniques rely on non‑spatially resolved blood or urine biomarkers and possess time- or safety-related constraints when using MRI or CT. Here, we demonstrate fast 3D bSSFP imaging and slice spectroscopy protocols using hyperpolarized [1,5-13C2]Z-OMPD for assessment of renal perfusion and filtration in comparison with 13C-urea as an established perfusion agent. Measured renal blood flow and glomerular filtration rates agree with literature and between agents and methods, thereby rendering Z-OMPD a versatile agent for assessment of kidney functionality. |
| 0843
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Pitch: 8:15 Poster: 8:15 Screen 25
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Development for hyperpolarized [1-13C]alpha-ketoglutarate MRI for metabolic imaging of normal volunteers and mutant IDH glioma patients |
| Yaewon Kim1, Duy Dang1, James Slater1, Andrew Riselli1, Jeremy Gordon1, Susan Chang2, Yan Li1, Evelyn Escobar1, Hsin-Yu Chen1, Chou T Tan3, Chris Suszczynski3, Robert Bok1, and Dan Vigneron1,2 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Department of Neurological Surgery, University of California, San Francisco, CA, United States, 3ISOTEC Stable Isotope Division, MilliporeSigma, Miamisburg, OH, United States |
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Keywords: Hyperpolarized MR (Non-Gas), Non-Proton Hyperpolarized [1-13C]alpha-ketoglutarate (aKG) is a metabolic probe that can provide direct access to the metabolic pathway for glutamate production or 2-HG production in altered alpha-ketoglutarate metabolism via IDH mutations. With its potential to serve as a biomarker of IDH1 mutational status in glioma and a measure of aKG metabolism in normal healthy subjects, we developed a new chemistry preparation and standard operating procedure (SOP) for on-site production of hyperpolarized GMP [1-13C]alpha-ketoglutarate and characterized the probe to investigate the feasibility of this probe in clinical setting. Following process qualification trials with HP [1-13C]aKG, an FDA IND application was prepared and submitted. |
| 0844 | Pitch: 8:15 Poster: 8:15 Screen 26
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PDH flux is a sensitive biomarker of mitochondrial dysfunction in acute TBI |
| Jun Chen1, Edward Hackett1, Laura Ingle2, Sarah Al Nemri1, Erik J Plautz2, Brenda L Bartnik-Olson3, and Jae Mo Park4,5 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center at Dallas, Dallas, TX, United States, 2Department of Neurology and Neurotherapeutics, UT Southwestern Medical Center at Dallas, Dallas, TX, United States, 3Radiology, Loma Linda University, Loma Linda, CA, United States, 4Advanced Imaging Research Center,, UT Southwestern Medical Center at Dallas, Dallas, TX, United States, 5Department of Radiology, UT Southwestern Medical Center at Dallas, Dallas, TX, United States |
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Keywords: Hyperpolarized MR (Non-Gas), Brain Due to the rapid and complex progression of metabolic alteration after traumatic brain injury (TBI), prompt assessment of cerebral metabolism is critical in preventing the subsequent injury processes and developing proper therapeutic strategies. In this study, we assessed longitudinal changes in bicarbonate production from hyperpolarized [1-13C]pyruvate in a rat TBI model. In addition to elevated lactate production, we observed significantly reduced bicarbonate production in the injured site. The contrast of bicarbonate signals between the injured region and the contralateral brain peaked at one day post-injury. A subset of TBI rats demonstrated markedly increased bicarbonate in contralateral brain regions post-injury. |
| 0845 | Pitch: 8:15 Poster: 8:15 Screen 27
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Novel Structure-guided Design of Amino Acid based Hyperpolarized 13C Probes for Metabolic Imaging |
| Kazutoshi Yamamoto1, Yutaro Saito2, Hiroyuki Yatabe2, Norikazu Koyasu1, Iori Tamura2, Yohei Kondo2, Ryo Ishida1, Tomohiro Seki1, Akihiro Eguchi2, Yoichi Takakusagi1, Nobu Oshima1, Murali C. Krishna1, and Shinsuke Sando2 | ||
1National Cancer Institute, National Institutes of Health, Bethesda, MD, United States, 2The University of Tokyo, Bunkyo-ku, Japan |
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Keywords: Hyperpolarized MR (Non-Gas), Molecular Imaging Profiling the metabolic phenotypes of tumors by molecular imaging is a promising approach in treatment planning and response monitoring. Here, dissolution Dynamic Nuclear Polarization (dDNP) is an emerging technique to detect site-specific enzymatic activities noninvasively. While drastic dDNP sensitivity enhancements are advantageous for real-time measurements, the limited number of applicable probes with longer T1 relaxation times continues to be a major drawback particularly for in vivo use. In this presentation, we will demonstrate a framework to design novel dDNP probes, detecting APN enzymatic activities which is a cancer therapeutic target, and its applications to in vivo pancreatic cancer. |
| 0846 | Pitch: 8:15 Poster: 8:15 Screen 28
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Beyond lactate: using hyperpolarized [1-13C] pyruvate to measure human brain pH and amino acid metabolism |
| Alixander S Khan1,2, Joshua Kaggie1,2, Ines Horvat-Menih1,2, Tomasz Matys1, Rolf F Schulte3, Matthew Locke1,2, Ashley Grimmer1,2, Elizabeth Latimer1,2, Amy Frary1,2, Martin Graves1, Mary McLean1,2, and Ferdia Gallagher1,2 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, 3GE Healthcare, GE Healthcare, Munich, Germany |
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Keywords: Hyperpolarized MR (Non-Gas), Hyperpolarized MR (Non-Gas) Hyperpolarized 13C MRS was used to measure human brain pH for the first time following 13C imaging through measurements of 13CO2 and bicarbonate. Aspartate concentration was also found offering insight into amino acid metabolism. Global brain pH was measured in the brain to be 6.98 ± 0.06. Non-invasive measurements of cerebral pH could be particularly important in assessing cerebral pathology given the wide range of disease processes that alter acid-base balance. Aspartate was measured in 4 of 9 volunteers with no age-related trends seen. Pyruvate carboxylase flux was found to be 6% of pyruvate dehydrogenase flux. |
| 0847 | Pitch: 8:15 Poster: 8:15 Screen 29
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Assessing Glutaminase Inhibition Treatment Response in Ovarian Cancer by Hyperpolarized Magnetic Resonance Spectroscopy |
| Prasanta Dutta1, Deanna Glassman2, Mark Kim2, Meredith L Spradlin3, Emine Bayraktar2, Elaine Stur2, Selanere Mangala2, Katherine Foster2, Sanghoon Lee2, Timothy A Yap4, Shannon Westin2, Livia Eberlin5, Anil K Sood2, and Pratip Bhattacharya1 | ||
1Cancer Systems Imaging, UT-MD Anderson Cancer Center, Houston, TX, United States, 2Gynecologic Oncology and Reproductive Medicine, UT-MD Anderson Cancer Center, Houston, TX, United States, 3Chemistry, UT- Austin, Austin, TX, United States, 4Investigational Cancer Therapeutics, UT-MD Anderson Cancer Center, Houston, TX, United States, 5Surgery, Baylor College of Medicine, Houston, TX, United States |
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Keywords: Hyperpolarized MR (Non-Gas), Metabolism, Metabolic Imaging The metabolic vulnerability of anti-VEGF antibody (AVA) resistant ovarian cancer with glutaminase inhibitor (GLSi) therapy was assessed by hyperpolarized 13C-pyruvate magnetic resonance spectroscopy (HP-MRS) in vivo and by desorption electrospray ionization spectroscopic (DESI-MS) imaging ex vivo. The lactate-to-pyruvate ratio was used as the treatment response imaging biomarker. |
| 0848 | Pitch: 8:15 Poster: 8:15 Screen 30
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Improving Quantification of Hyperpolarized 13C-Pyruvate Metabolism Using Pyruvate Metabolite Specific bSSFP and Variable Flip Angles |
| Anna Bennett1, Xioaxi Liu1, Avantika Sinha1, Sule Sahin1, Peder E. Z. Larson1, and Charlie Wang1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: MR Fingerprinting/Synthetic MR, RF Pulse Design & Fields, variable flip angle A pyruvate-specific bSSFP protocol was defined, based on prior work, demonstrating increased signal efficiency over GRE sequences. Monte Carlo simulations evaluated signal efficiency and kinetic performance of potential flip angle schemes. A sigmoid-based flip scheme, varying from 5 to 80 degrees, showed greatest performance of kPL estimation compared to simulated GRE and constant flip angle bSSFP. Small animal studies validated the expected signal increase and kPL estimation, with resulting kinetic parameter maps showing consistency among methods and qualitative noise reduction. |
| 0849 | Pitch: 8:15 Poster: 8:15 Screen 31
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Incorporating DCE derived perfusion terms to inform fitting of hyperpolarized pyruvate metabolism in a human thyroid tumor. |
| Christopher M Walker1, Renjie He2, Zhan Xu1, Keith Michel1, Gary Martinez1, Collin J. Harlan1, Abdallah S. R. Mohamed2, Clifton D. Fuller 2, Stephen Y. Lai3, and James A Bankson1 | ||
1Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 2Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, United States, 3Head and Neck Surgery, MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Hyperpolarized MR (Non-Gas), Hyperpolarized MR (Non-Gas) Dynamic contrast enhanced MRI was used to derive perfusion terms which were incorporated into the fitting of hyperpolarized pyruvate to lactate apparent conversion rates. Incorporation of the DCE data reduced the fit metabolic conversion rates across the data set but more so for the post therapy data resulting in a significant decrease in kpl after therapy. These results suggest that more effort is needed to disentangle perfusion from metabolic effects when analyzing HP MRI data. |
| 0850 | Pitch: 8:15 Poster: 8:15 Screen 32
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3D myocardial perfusion quantification using hyperpolarized HP001 |
| Yupeng Zhao1, Rie Beck Olin1, Lars G. Hanson1,2, Esben Søvsø Szocska Hansen3, Christoffer Laustsen3, and Jan Henrik Ardenkjær-Larsen1 | ||
1Technical University of denmark, Kongens Lyngby, Denmark, 2Danish Research Centre for Magnetic Resonance, Hvidovre, Denmark, 3MR Research Centre, Aarhus University, Aarhus, Denmark |
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Keywords: Hyperpolarized MR (Non-Gas), Perfusion We propose a 3D gradient echo sequence with hyperpolarized HP001 as contrast agent for whole heart myocardial perfusion quantification. The estimated perfusion values are correlated with the perfusion values estimated from dynamic contrast enhanced (DCE)-MRI. |
| 0851 | Pitch: 8:15 Poster: 8:15 Screen 33
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Multi-Voxel PRESS of Hyperpolarized 13C-labelled Agents In Vivo |
| Wolfgang Gottwald1, Irina Heid2, Luca Nagel1, Martin Grashei1, Sebastian Bauer1, Mariia Semina2, Nadine Setzer1, Sandra Suehnel1, Geoffrey J. Topping1, Rickmer Braren2,3, and Franz Schilling1 | ||
1TUM School of Medicine, Department of Nuclear Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany, 2TUM School of Medicine, Institute of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany, 3German Cancer Consortium (DKTK, partner Site Munich), Munich, Germany |
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Keywords: Hyperpolarized MR (Non-Gas), Hyperpolarized MR (Non-Gas) A newly developed multi-voxel point resolved spectroscopy (MV-PRESS) sequence was evaluated for the study of murine pancreatic ductal adenocarcinoma (PDAC) using hyperpolarized (HP) 13C-labelled molecules. First, the sequence was compared to standard 2D free-induction decay chemical shift imaging (2D FID-CSI) in vivo using HP [1-13C]pyruvate (PA). Then, multiple ROIs in mice with endogenous PDAC were selected based on anatomical 1H imaging. From those voxels, high resolution spectra using the MV-PRESS sequence were acquired to evaluate differences in pyruvate-to-lactate conversion. Finally, the sequence was used to determine the extracellular pH of tumor lesions and kidneys in the same animal model. |
| 0852 | Pitch: 8:15 Poster: 8:15 Screen 34
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High-throughput kinetic analysis in a microfluidic multiwell platform by dissolution dynamic nuclear polarization-magnetic resonance |
| Marc Azagra1, Jose Yeste Lozano1, Maria Alejandra Ortega 1, Alejandro Ernesto Portela1, Gergö Matajsz1, Alba Herrero Gómez1, Kim Yaewon2, Renuka Sriram2, John Kurhanewicz2, Daniel Vigneron2, and Irene Marco Rius1 | ||
1MIPMED, IBEC, Barcelona, Spain, 2UCSF, San Francisco, CA, United States |
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Keywords: Hyperpolarized MR (Non-Gas), New Devices, dissolution DNP, MRSI, microfluidics, multisample measurement High throughput dissolution Dynamic Nuclear Polarization (dDNP) magnetic resonance spectroscopic imaging (MRSI) was achieved by developing a multiwell microfluidic platform. This platform allows for multiple experiments to be performed with a single injection of a dDNP substrate, enabling faster and more reproducible data gathering, reducing experimental costs and time by a factor of 8. Here, we present a proof of concept of the methodology with an oxidation reaction combining [1-13C]pyruvic acid with hydrogen peroxide, testing 2 different conditions with 3 replicates each. |
| 0853 | Pitch: 8:15 Poster: 8:15 Screen 35
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First in vivo experiences with [1-13C]-pyruvate hyperpolarized by SABRE |
| Thomas Theis1, Austin Browning1, Keilian MacCulloch1, Patrick TomHon2, Carlos Dedesma2, Boyd M. Goodson3, Matthew Rosen4, Eduard Chekmenev5, David Orestes Guarin-Bedoya4, and Yi-Fen Yen4 | ||
1Chemistry, North Carolina State University, Raleigh, NC, United States, 2Vizma Life Sciences, Raleigh, NC, United States, 3Chemistry, Southern Illinois University, Carbondale, IL, United States, 4A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 5Chemistry, Wayne State University, Detroit, MI, United States |
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Keywords: Hybrid & Novel Systems Technology, Hyperpolarized MR (Non-Gas) We present the first in vivo hyperpolarized MR using Signal Amplification By Reversible Exchange. |
| 0854 | Pitch: 8:15 Poster: 8:15 Screen 36
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Over 20% 13C-Hyperpolarization and Fast Imaging of Ethyl-[1-13C]-Acetate-d6 and Ethyl-[1-13C]-Pyruvate-d6 using SAMBADENA |
| Obaid Mohiuddin1, Henri de Maissin1,2, Marvin Herzog1,2, Andrey Pravdivtsev3, Arne Brahms4, Eduard Y. Chekmenev5,6, Rainer Herges4, Jan-Bernd Hövener3, Maxim Zaitsev1, Dominik von Elverfeldt1, and Andreas Benjamin Schmidt1,2,5 | ||
1Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Frieburg, Freiburg, Germany, 2German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Kiel University, Kiel, Germany, 4Otto Diels Institute for Organic Chemistry, Kiel University, Kiel, Germany, 5Chemistry, Wayne State Univeristy, Detroit, MI, United States, 6Russian Academy of Sciences (RAS), Moscow, Russian Federation |
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Keywords: High-Field MRI, Hyperpolarized MR (Non-Gas), Parahydrogen Parahydrogen is a cost-efficient source of spin order for high-throughput production of hyperpolarized contrast agents. The parahydrogen approach SAMBADENA has shown great potential for biomedical applications: agents are polarized in situ in the MRI system at low cost with little additional hardware, repeatedly every 15s, and administration in vivo has been demonstrated. Here we present a new setup and high 13C polarization of 28% or 19% for ethyl-[1-13C]-acetate-d6 and ethyl-[1-13C]-pyruvate-d6, respectively, at concentrations of up to 80mM. We envision SAMBADENA to become a versatile method for the widespread application of hyperpolarized MRI and high throughput metabolic 13C MRI studies. |
| 0855 | Pitch: 8:15 Poster: 8:15 Screen 37
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WITHDRAWN |
| 0856
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Pitch: 8:15 Poster: 8:15 Screen 38
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Compressed sense reconstructions improve non-Cartesian hyperpolarized 129Xe MRI |
| Joseph W Plummer1,2, Abdullah S Bdaiwi1,2, Stephanie A Soderlund1, Matthew M Willmering1, Jason C Woods1,3,4,5, Zackary I Cleveland1,2,4,5, and Laura L Walkup1,2,4,5 | ||
1Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Department of Physics, University of Cincinnati, Cincinnati, OH, United States, 4Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 5Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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Keywords: Hyperpolarized MR (Gas), Image Reconstruction Hyperpolarized 129Xe MRI is a powerful pulmonary imaging modality to assess regional ventilation, gas exchange, and lung microstructure. However, non-equilibrium magnetization decay and relatively long breath-hold durations remain major limitations to routine clinical dissemination. While non-Cartesian sampling methods can improve sampling efficiency, these methods are yet to be combined with non-linear reconstruction methods like compressed sensing to further increase speed and reduce image noise. Here, we implement compressed-sense reconstructions across a range of non-Cartesian 129Xe MRI techniques and show that SNR and image quality can all be improved while reducing scan time. |
| 0857
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Pitch: 8:15 Poster: 8:15 Screen 39
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Quantifying Cardiogenic Oscillations of Hyperpolarized 129Xe Gas Exchange MR Spectra in a Healthy Reference Cohort |
| Anna Costelle1, Junlan Lu1, Aryil Bechtel2, Elianna Bier2, Sakib Kabir3, Joseph Mammarrappallil3, Haoran Dai1, David Mummy3, and Bastiaan Driehuys1,2,3 | ||
1Medical Physics, Duke University, Durham, NC, United States, 2Biomedical Engineering, Duke University, Durham, NC, United States, 3Radiology, Duke University, Durham, NC, United States |
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Keywords: Hyperpolarized MR (Gas), Spectroscopy Hyperpolarized 129Xe gas exchange MR spectra exhibit cardiogenic oscillations that have been found to distinguish between groups of cardiopulmonary diseases. Specifically, oscillations in the amplitude of the 129Xe red blood cell (RBC) resonance can differentiate pre-capillary and post-capillary pulmonary hypertension. Before diagnostic relevance can be established, these oscillations must be robustly quantified and definitive reference values must be determined. Here, we compare oscillation quantification using a constrained peak-finding algorithm against results from conventional sine fitting. We then employ a well-curated healthy cohort to establish reference values for cardiogenic oscillations in 129Xe RBC spectral parameters, using both methods. |
| 0858 | Pitch: 8:15 Poster: 8:15 Screen 40
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Free-Breathing Hyperpolarized Xenon-129 Spectroscopy with Cardiopulmonary Gating |
| Faraz Amzajerdian1, Hooman Hamedani1, Ryan Baron1, Mostafa Ismail1, Luis Loza1, Kai Ruppert1, Stephen Kadlecek1, and Rahim Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Hyperpolarized MR (Gas), Lung While hyperpolarized 129Xe (HXe) MRI is capable of quantifying gas exchange, these measurements are heavily dependent on both cardiac and pulmonary activity. Since traditional HXe approaches are performed during extended breath-holds at fixed lung inflation levels, the measured gas exchange can differ greatly based on the chosen inflation position, and may thus not be representative of steady-state behavior. To explore the sensitivity of HXe to cardiac pulsations and the different phases of respiration, we acquired spectra continuously over approximately 40 breaths of low-dose HXe before retrospectively gating the signals based on both cardiac and respiratory cycles. |
| 10:30 | Ernst Lecture: Celebrating the Convergence Science of Medical Imaging |
| Richard L Ehman1 | |
1Mayo Clinic, MN, United States |
| 11:00 | FDG PET-MRI: Wins Over PET-CT |
| Munenobu Nogami1,2 | |
1Department of Radiology, Kobe University Hospital, Kobe, Japan, 2Biomedical Imaging Research Center, University of Fukui, Fukui, Japan |
| 11:30 | Integrating Novel Tracer Development & Functional MRI in PET-MRI Systems |
| Tone Bathen1 | |
1NTNU-Faculty of Medicine-ISB, Norway |
| 12:00 | PET-MR in Cancer Theranostics: Where are we Headed? |
| Lisa Bodei1 | |
1Memorial Sloan Kettering Cancer Center, New York, NY, United States |
13:30
|
From k-Space to Image Space | |
| Susie Y Huang1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States |
14:00
|
Compressed Sensing in the Clinic | |
| Shreyas Vasanawala1 | ||
1Stanford University, United States |
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Keywords: Image acquisition: Reconstruction, Image acquisition: Fast imaging Sparsity, ubiquitous in medical images, can enable faster scans. Here, the concepts of sparsity and compressibility are reviewed. This is followed by an overview of how these concepts can be leveraged to scan faster, and conditions under which imaging speed can be pushed further. |
14:30
|
AI Image Enhancement & Denoising | |
| Mika Kitajima1 | ||
1Kumamoto University, Kumamoto, Japan |
||
Keywords: Neuro: Brain Deep learning (DL)-based denoising and image enhancement techniques reduce scan time while improving SNR and maintaining spatial resolution. Combining DL-based denoising with other rapid imaging techniques including parallel imaging and compressed sensing further reduces scan time. DL-based denoising techniques may be particularly beneficial for potentially low SNR images and/or time-consuming sequences such as DWI with high b-value and large number of MPG directions, and it may improve image quality of quantitative maps. DL-based resolution enhancement such as super-resolution model is superior to conventional methods. To establish clinically useful DL-based denoising and image enhancement techniques, prospective multi-site studies are required. |
15:00
|
Volumetric Processing: How to Do 3D MPR/MIP/minIP | |
| Taro Takahara1 | ||
1Tokai University, Japan |
13:30
|
Imaging the Brain During Development | |
| Matthew Barkovich1 | ||
1University of California, San Francisco, United States |
14:00
|
Techniques to Image Uncooperative Children | |
| Onur Afacan1 | ||
1Boston Children's Hospital, United States |
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Keywords: Image acquisition: Motion correction, Cross-organ: Pediatric The goal of this educational talk is to provide the participants with a better understanding of pediatric MRI scans. By the end of the session, attendees should have a clear understanding of current imaging practices for younger children, as well as novel techniques for measuring motion using external trackers and navigators. The session will also cover how real-time motion measurements can be used to improve the success rate of pediatric MRI scans. Finally, the pros and cons of prospective versus retrospective corrections will be discussed, providing attendees with a comprehensive understanding of the options available for improving pediatric MRI scans. |
14:30
|
New Techniques in Fetal and Neonatal Imaging | |
| Jana Hutter1 | ||
1King's College London, London, United Kingdom |
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Keywords: Cross-organ: Neonatal, Cross-organ: Antenatal, Image acquisition: Fast imaging Exciting challenges in the field of fetal and neonatal imaging drive novel engineering and analysis solutions both for data acquisition and analysis. These include among others novel coils for dedicated fetal and neonatal use, the exploration of novel field strengths, both high and low, multi-modality imaging combining eg EEG and fMRI, novel MRI sequences combining multiple contrasts, a move towards whole uterus acquisitions combined with dedicated processing employing AI and SVR to achieve organ-specific information as well as a drive towards real-time information being employed for QA or to react to unpredictable fetal motion. |
15:00
|
Quantifying the Energy Demands of the Developing Brain | |
| Peiying Liu1 | ||
1University of Maryland School of Medicine, United States |
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Keywords: Neuro: Brain The brain is a big energy consumer and most of its energy is generated by oxidative metabolism. Cerebral oxidative metabolism is thought to play a particularly critical role in the development of the brain, due to the escalating energy demands for the complex structural and functional maturational processes in the developing brain, especially in early brain development. Therefore, quantitative assessment of cerebral oxygen metabolism in the neonate may provide a much-needed tool to understand brain development and injuries. In this presentation, we will introduce the non-invasive MRI methods that quantify cerebral oxygen metabolism in the developing brain. |
13:30
|
The Physical Mechanisms of ihMT | |
| Carl Michal | ||
| University of British Columbia | ||
13:45
|
Approaches to ihMT MRI | |
| Gopal Varma | ||
| Beth Israel Deaconess Medical Center | ||
14:00
|
Up-To-Date Approaches To Analyze & Quantify ihMT | |
| Fanny Munsch | ||
| Université de Bordeaux | ||
14:15
|
On the Orientation Dependence of ihMT in White Matter Fibers | |
| Olivier Girard | ||
| Aix Marseille University | ||
14:30
|
Between Theory & Applications: The Added Value of Preclinical ihMT Studies | |
| Andreea Hertanu | ||
| Lausanne University Hospital | ||
14:45
|
Pediatric Applications of ihMT | |
| Catherine Lebel | ||
| University of Calgary | ||
15:00
|
On the Use of ihMT for Neurodegenerative & Traumatic Spinal Cord Injury | |
| Virginie Callot | ||
| CRMBM-CEMEREM, CNRS / Aix-Marseille University | ||
| 0859
|
13:30
|
K2S Challenge: From Undersampled K-Space to Automatic Segmentation |
| Aniket Tolpadi1, Upasana Bharadwaj1, Kenneth Gao1, Rupsa Bhattacharjee1, Felix Gassert1, Johanna Luitjens1, Jan Nikolas Morshuis2,3, Paul Fischer2, Matthias Hein2, Christian F. Baumgartner2, Artem Razumov4, Dmitry Dylov4, Quintin van Lohuizen5, Stefan Fransen5, Xiaoxia Zhang6, Radhika Tibrewaka6, Hector Lise de Moura6, Kangning Liu6, Marcelo Zibetti6, Ravinder Regatte6, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Cluster of Excellence Machine Learning, University of Tübingen, Tübingen, Germany, 3International Max Planck Research School for Intelligent Systems, Tübingen, Germany, 4Skolkovo Institute of Science and Technology, Moscow, Russian Federation, 5Department of Radiology, University Medical Center Groningen, Groningen, Netherlands, 6Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Image Reconstruction, MSK Image reconstruction and downstream tasks have typically been treated independently by the image processing community, but we hypothesized performing them end-to-end could facilitate further optimization. To these ends, UCSF organized the K2S challenge, where challenge participants were tasked with segmenting bone and cartilage from 8X undersampled knee MRI acquisitions. Top challenge submissions produced high-quality segmentations maintaining fidelity to ground truth, but strong reconstruction performance proved not to be required for accurate tissue segmentation, and there was no correlation between reconstruction and segmentation performance. This challenge showed reconstruction algorithms can be optimized for downstream tasks in an end-to-end fashion. |
| 0860 | 13:38
|
A Generative Subspace Model for High-dimensional MR Imaging |
| Xi Peng1 and Fan Lam2 | ||
1Mayo Clinic, Rochester, MN, United States, 2University of Illinois Urbana-Champaign, Urbana, IL, United States |
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Keywords: Sparse & Low-Rank Models, Quantitative Imaging Subspace or low-rank models have been demonstrated useful in producing efficient representations and reconstructions for high dimensional imaging problems. In this study, we propose an unsupervised learning-based approach by generalizing the subspace model using a deep generative network. The generative subspace model can then be incorporated into the physics-based reconstruction formalism. The network parameters can be self-trained by minimizing the cost function with the flexibility to integrate with conventional constraints. We demonstrated the effectiveness of the proposed method over standard linear subspace and deep image prior models using in vivo T2 mapping dataset. |
| 0861
|
13:46
|
Time-resolved cardiac imaging and motion analysis using a multi-scale dynamics decomposition |
| Thomas E. Olausson1, Casper Beijst2, Alessandro Sbrizzi1, Cornelis A.T. van den Berg1, and Niek R.F. Huttinga1 | ||
1Computational Imaging Group for MR therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, Utrecht, Netherlands, 2UMC Utrecht Cancer Center, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Sparse & Low-Rank Models, Cardiovascular, Motion estimation; Motion correction; Low-Rank & Sparse;Time-resolved imaging In this work we present a time-resolved (ungated, free-breathing) dynamic cardiac MRI method which disentangles and jointly estimates motion-fields and time-varying contrast images. Different sources of intensity variations are represented with L+S decompositions and motion-fields, that can naturally provide the information required for downstream tasks such as perfusion (contrast dynamics) and myocardial strain analysis (tissue dynamics). Results indicate the feasibility of disentangling the different sources of temporal intensity variations such as respiratory motion or contrast enhancement. Moreover, no breath holds nor ECG triggering/sorting are required since the time-resolved framework can simultaneously resolve the many overlapping dynamics from a continuous data-stream. |
| 0862
|
13:54
|
Robust Image Reconstruction using Multi-channel Spatial Nulling Maps: An Alternative to ESPIRiT? |
| Jiahao Hu1,2,3, Yi Zheyuan1,2,3, Yujiao Zhao1,2, Junhao Zhang1,2, Linfang Xiao1,2, Christopher Man1,2, Vick Lau1,2, Alex T. L. Leong1,2, Fei Chen3, and Ed X. Wu1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong, 3Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China |
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Keywords: Signal Representations, Parallel Imaging We develop a novel parallel imaging reconstruction method by extracting null-subspace bases of calibration data/matrix to calculate image-domain spatial nulling maps that contain both coil sensitivity and finite image support information. Images are reconstructed by solving a nulling system formed by multi-channel spatial nulling maps without any masking-related procedure (i.e., in existing SENSE/ESPIRiT for minimizing noise propagation). We demonstrate this method with 2D brain, knee and cardiac data under various conditions, yielding results highly comparable to ESPIRiT with optimal manual masking. Our proposed hybrid-domain reconstruction method is efficient, and more robust than existing ESPIRiT for parallel imaging in practice. |
| 0863 | 14:02
|
Investigations on non-Cartesian parallel imaging with time-varying receive sensitivities |
| Felix Glang1, Praveen Iyyappan Valsala1, Anton V. Nikulin1,2, Nikolai Avdievich1, Theodor Steffen1, and Klaus Scheffler1,2 | ||
1High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Department of Biomedical Magnetic Resonance, Eberhard Karls University Tübingen, Tübingen, Germany |
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Keywords: Parallel Imaging, High-Field MRI Non-Cartesian trajectories have several advantageous properties, including favorable parallel imaging performance. Recently, a novel concept of improving parallel imaging by electronically modulated time-varying receive sensitivities has been introduced. In the present work, we investigate if these two concepts can be combined, i.e., how dynamic sensitivity modulation impacts non-Cartesian parallel imaging reconstruction. To that end, numerical experiments are performed based on data from the novel reconfigurable coil array. We find improvement in convergence, reconstruction error and noise amplification due to rapid sensitivity modulation for radial, spiral, and Cartesian trajectories, implying the potential of this method for advanced encoding and reconstruction schemes. |
| 0864
|
14:10
|
Pose-dependent field reconstruction enabled by prospective motion navigation and randomized sampling |
| Malte Riedel1, Thomas Ulrich2, and Klaas Pruessmann2 | ||
1ETH Zurich, Zurich, Switzerland, 2Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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Keywords: Image Reconstruction, Brain Head motion is accompanied by a multitude of second order motion effects like changing coil sensitivity maps, background field inhomogeneities, and susceptibility-induced fields. While scan geometries and shims can be corrected in real-time, the scanner has no means to counteract changes of the coil sensitivity maps or the susceptibility-induced fields requiring data-driven retrospective motion correction algorithms for these issues. Randomized sampling can further be exploited to improve the problem conditioning of the parameter estimations on temporal sub-segments of the scan. In this work, we evaluate the combination prospective motion navigation with randomized sampling in a pose-dependent field correction algorithm. |
| 0865
|
14:18
|
Motion Compensated Structured Low-rank Reconstruction for Robust 3D Multi-shot EPI fMRI |
| Xi Chen1, Wenchuan Wu1, and Mark chiew1,2,3 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada |
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Keywords: Sparse & Low-Rank Models, Motion Correction, fMRI; 3D EPI Structured low-rank (SLR) reconstruction has been successfully used in 3D multi-shot EPI for fMRI to improve its robustness to inter-shot phase variations. This work proposed a motion compensated structured low-rank (mcSLR) reconstruction, which further improves the robustness of 3D multi-shot EPI by joint modelling of both inter-shot motion and phase variations. |
| 0866 | 14:26
|
Alternating Low-Rank Tensor Reconstruction for Improved Multi-Dimensional MRI with MR Multitasking |
| Tianle Cao1,2, Yibin Xie1, Debiao Li1, and Anthony G. Christodoulou1 | ||
1Cedars Sinai Medical Center, Los Angeles, CA, United States, 2University of California, Los Angeles, Los Angeles, CA, United States |
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Keywords: Sparse & Low-Rank Models, Sparse & Low-Rank Models Low-rank tensor modelling is promising for multi-dimensional MR imaging. In this work, we developed a new low-rank tensor reconstruction approach using alternating minimization of spatial and temporal bases from the whole k-t space data instead of from split subsets of data. The approach was evaluated for 2D motion-resolved myocardial T1/T2/T2*/fat-fraction mapping and could potentially be used for imporving reconstruction quality and/or further reducing scan time. |
| 0867 | 14:34
|
Navigator-free water/fat separation for multi-shot diffusion-weighted EPI using structured low-rank reconstruction |
| Yiming Dong1, Kirsten Koolstra2, Ziyu Li3, Matthias J.P. van Osch1, and Peter Börnert1,4 | ||
1C.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, Netherlands, 2Philips, Best, Netherlands, 3Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4Philips Research, Hamburg, Germany |
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Keywords: Image Reconstruction, Diffusion/other diffusion imaging techniques Multi-shot EPI readout-approaches provide high spatial resolution at reduced geometric distortions and improved SNR in diffusion weighted imaging (DWI). As a specific challenge, physiological motion induces shot-to-shot phase variations and needs specific handling, e.g., using additionally measured phase navigators, data-driven phase estimation and/or low-rank regularizations. Furthermore, good fat-suppression is also needed in DWI, making the use of chemical-shift encoding interesting. In this work, a structured low-rank-based water/fat separation pipeline is proposed to jointly estimate water/fat images while correcting motion-induced phase variations with improved time efficiency. In-vivo examples from different anatomies demonstrate improved water/fat separation compared to conventional approaches. |
| 0868 | 14:42
|
Robust Quantitative Susceptibility Mapping via Approximate Message Passing with Parameter Estimation |
| Shuai Huang1, James J. Lah1, Jason W. Allen1, and Deqiang Qiu1 | ||
1Emory University, Atlanta, GA, United States |
||
Keywords: Image Reconstruction, Quantitative Susceptibility mapping We propose a robust Bayesian approach with built-in parameter estimation for quantitative susceptibility mapping (QSM). From a Bayesian perspective, wavelet coefficients of the susceptibility map are modeled by Laplace distribution. Noise is modeled by a two-component Gaussian-mixture distribution, where the second component is reserved to model the noise outliers. The susceptibility map and distribution parameters are jointly recovered using approximate message passing (AMP). The proposed approach achieves better performance in challenging cases of brain hemorrhage and calcification. It automatically estimates the parameters, which avoids subjective bias from the usual visual-tuning step of in vivo reconstruction. |
| 0869 | 14:50
|
Accelerated Simultaneous Multislice Imaging via Linear Phase Modulated Extended Field of View (SMILE) |
| Shen Zhao1, Junyu Wang1, and Michael Salerno1 | ||
1Cardiovascular Medicine, Stanford University, Stanford, CA, United States |
||
Keywords: Image Reconstruction, Image Reconstruction, SMS Slice leakage is a significant issue in simultaneous multislice (SMS) imaging. In this work, we extend POMP and develop a new efficient accelerated SMS acquisition technique: Simultaneous Multislice Imaging via Linear phase modulated Extended field of view (SMILE). SMILE transforms the SMS problem into a 2D imaging task and enables direct implementation of 2D non-SMS-only reconstruction algorithms. SMILE increases the sampling degree of freedom by a factor of the number of slices and could theoretically avoid the significant "slice-leakage" issue. |
| 0870
|
14:58
|
Fast MRSI Reconstruction Combining Linear and Nonlinear Manifold Models |
| Yahang Li1,2, Zepeng Wang 1,2, Aaron Anderson 2,3, Ruiyang Zhao 2,4, Paul Arnold 2,3, Graham Huesmann 2,3,5, and Fan Lam 1,2,4 | ||
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, Urbaba, IL, United States, 3Neuroscience Institute, Carle Foundation Hospital, Urbaba, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 5School of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL, United States |
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Keywords: Image Reconstruction, Spectroscopy A computationally efficient MRSI reconstruction method is presented. The proposed problem formulation integrates a subspace model of the high-dimensional spatiotemporal function (SPICE) and a network-based learned projector on to a low-dimensional manifold of generic spectroscopic signals. The subspace representation allows for more flexible spatiotemporal sampling designs than using nonlinear manifold constraint alone, while the manifold constraint effectively regularizes the subspace fitting, especially at higher orders. An efficient algorithm is designed to solve the optimization problem. The benefits of the proposed synergy have been demonstrated using simulations as well as experimental 31P and 1H-MRSI data. |
| 0871
|
15:06
|
Improved Reconstruction for High-Resolution QSM from Highly Sparse Unsuppressed Water Signals of 1H-MRSI Scans |
| Ziwen Ke1, Yibo Zhao2,3, Yudu Li2,4, Rong Guo2,5, Zhi-Pei Liang2,3, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Siemens Medical Solutions USA, Urbana, IL, United States |
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Keywords: Image Reconstruction, Quantitative Susceptibility mapping The SPICE technique has demonstrated a unique capability of simultaneous QSM/MRSI. To achieve fast high-resolution QSM, highly sparse sampling of (k,t)-space is used in SPICE data acquisition, which poses a significant challenge in image reconstruction. In this work, we solved this problem using a subspace-assisted parallel imaging technique with learned image priors. The proposed method has been validated using experimental data, producing high-quality QSM maps from the unsuppressed water signals of 1H-MRSI scans. |
| 0872 | 15:14
|
A Time-Saving View-Sharing Interleaved Block-Segmented Diffusion-Tensor Imaging (VS iblocks-DTI) |
| Liyuan Liang1,2, Mei-Lan Chu3, Nan-Kuei Chen4,5, and Hing-Chiu Chang1,2 | ||
1Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, 2Multi-Scale Medical Robotics Center, Shatin, Hong Kong, 3Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 4Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 5Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States |
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Keywords: Image Reconstruction, Diffusion Tensor Imaging Recently, a novel self-navigated multi-shot EPI data acquisition scheme called iblocks-EPI was proposed to achieve high-resolution DWI images with further reduction of distortion compared to the conventional interleaved EPI. However, the total acquisition time of iblocks-EPI is several times longer than the conventional interleaved EPI because it requires multiple patch patterns for covering a complete k space. Consequently, it is time-consuming and impractical for routine acquisition of DTI data. In this work we propose a view-sharing iblocks-DTI scheme which can substantially reduce the scan time for iblocks-DTI acquisition while providing accurate DTI tensor calculation. |
| 0873
|
15:22
|
Interactive Real-Time MRI with BART |
| Philip Schaten1 and Martin Uecker1 | ||
1Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria |
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Keywords: Image Reconstruction, Software Tools The open-source software tool BART provides various state-of-the-art image reconstruction algorithms for MRI. We add an interface for streaming image and k-space data to BART, which should facilitate the application of modern image reconstruction to real-time MRI. Our implementation matches the requirements of interventional MRI in terms of frame rate and latency.Furthermore, we present an intuitive way of interactive slice positioning for MR-guided Interventions using a game controller featuring an inertial measurement unit. |
| 0874 | 13:30
|
Microstructural and microvascular alterations in small vessel diseases using multi-shell DTI inside and outside white matter hyperintensities |
| Paulien Voorter1, Maud van Dinther2, Michael Stringer3, Danielle Kerkhofs2, Anna Dewenter4, Gordon Blair3, Daniela Jaime Garcia3, Francesca Chappell3, Anna Kopczak4, Julie Staals2, Michael Ingrisch4, Marco Duering4, Michael Thrippleton3, Fergus Doubal3, Martin Dichgans4, Joanna Wardlaw3, Robert van Oostenbrugge2, Jacobus Jansen1, and Walter Backes1 | ||
1Department of Radiology and Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands, 2Department of Neurology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands, 3Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, Edinburgh, United Kingdom, 4Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany |
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Keywords: Stroke, Stroke, small vessel disease The pathophysiology underlying white matter hyperintensities (WMHs) and changes in perilesional white matter are not fully understood in cerebral small vessel disease (SVD). Using multi-shell diffusion tensor imaging (DTI), we studied the mean (parenchymal) diffusivity (MD) and microvascular perfusion (f) inside and outside WMHs in sporadic and monogenetic (CADASIL) SVDs. The microstructure (expressed by MD) was most damaged inside WMHs and extended beyond the WMHs. Furthermore, f was highest at the WMH border, decreased towards the WMH center, and decreased outside WMHs, possibly reflecting multiple SVD-related alterations in the microvasculature, such as dilated microvessels, capillary rarefaction, and reduced microvascular integrity. |
| 0875 | 13:38
|
The role of FK506 binding protein 5 in the early development of ischemic lesion using multi-parametric MRI |
| Zih-Rong Lai1, Yu-Ping Kang2, Chia-Feng Lu1, Bao-Yu Hsieh3,4, Yi-Hsuan Lee2,5, and Yu-Chieh Jill Kao1 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Department and Institute of Physiology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan, 4partment of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 5Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan |
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Keywords: Stroke, Preclinical, Transgenic mice To explore how the FK506 binding protein 5 (FKBP5) affect the ischemic stroke outcome, we employed Fkbp5-knock out (KO) mice and evaluated the ADC- and CBF-deficit volume, as well as angiography in the acute phase and the final lesion volume at 24 hours after the occlusion of middle cerebral artery (MCAO). The discent lesion volume and loss of collaterals after MCAO in the Fkbp5-KO animals suggested the early determination of the stroke outcome in the Fkbp5-KO animals after ischemic insult. |
| 0876 | 13:46
|
Cerebrovascular reactivity is a predictor of small vessel disease severity after one year in patients with mild stroke |
| Emilie Sleight1,2, Michael S Stringer1,2, Una Clancy1,2, Carmen Arteaga1,2, Daniela Jaime Garcia1,2, Will Hewins1,2, Angela CC Jochems1,2, Rachel Penman1,2, Yajun Cheng1,2,3, Dillys Liu1,2,4, Junfang Zhang1,2,5, Iona Hamilton6, Charlotte Jardine6, Rosalind Brown1,2, Eleni Sakka1,2, Agniete Kampaite1,2, Stewart Wiseman1,2, Maria Valdes-Hernandez1,2, Francesca Chappell1,2, Fergus Doubal1,2, Ian Marshall1,2, Michael J Thrippleton1,2,6, and Joanna M Wardlaw1,2,6 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom, 3Department of Neurology, West China Hospital of Sichuan University, Chengdu, China, 4Department of Medicine, University of Hong Kong, Hong Kong, Hong Kong, 5Department of Neurology, Shanghai Jiao Tong University, Shanghai, China, 6Edinburgh Imaging Facility RIE, University of Edinburgh, Edinburgh, United Kingdom |
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Keywords: Stroke, Blood vessels, Cerebrovacular reactivity Small vessel disease (SVD) causes stroke and dementia, but its pathogenesis remains poorly understood. We measured cerebrovascular reactivity (CVR) in SVD patients with minor stroke using 3T BOLD MRI and investigated its relation to baseline and progression of SVD features after one year adjusting for age and vascular risk factors. Patients with lower CVR had higher baseline white matter hyperintensity (WMH) volume, more lacunes and microbleeds and lower brain volume. After one year, patients with lower baseline CVR had increased WMH burden. In conclusion, CVR impairment in SVD patients is associated with higher SVD burden and predicts worsening of SVD. |
| 0877 | 13:54
|
Hemodynamic imaging parameters in brain metastases patients – Agreement between multi-delay ASL and hypercapnic BOLD |
| Eva Elisabeth van Grinsven1, Marielle Philippens2, Jeroen Siero3,4, and Alex Bhogal3 | ||
1Department of Neurology & Neurosurgery, UMC Utrecht, Utrecht, Netherlands, 2Department of Radiation Oncology, UMC Utrecht, Utrecht, Netherlands, 3Department of Radiology, UMC Utrecht, Utrecht, Netherlands, 4Spinoza Center for Neuroimaging, Amsterdam, Netherlands |
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Keywords: Blood vessels, Neuroscience This study compared baseline ASL with BOLD cerebrovascular reactivity (BOLD-CVR) parameters in the brain under different hemodynamic circumstances in patients with brain metastases. There was a strong relationship between baseline cerebral blood flow and BOLD-CVR measurements and the temporal metrics of ASL and BOLD-CVR. However, the relationship between baseline ASL and BOLD-CVR does not hold in tissue with exhausted cerebral autoregulation (i.e. vascular steal regions). Thereby, BOLD-CVR may be able to flag at-risk areas with depleted vascular reserve capacity before they become visible on ASL MRI. |
| 0878
|
14:02
|
Multivariate analysis of perfusion and oxygenation patterns in asymptomatic unilateral carotid artery stenosis |
| Jan Kufer1, Jens Göttler1,2, Gabriel Hoffmann1, Lena Schmitzer1, Claus Zimmer1, Fahmeed Hyder2, Christine Preibisch1,3, and Stephan Kaczmarz1,2,4 | ||
1Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany, 2MRRC, Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, United States, 3Department of Neurology, School of Medicine, Technical University of Munich (TUM), Munich, Germany, 4Philips GmbH Market DACH, Hamburg, Germany |
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Keywords: Blood vessels, Oxygenation Asymptomatic internal carotid artery stenosis (ICAS) is linked with increased stroke risk and cognitive decline. Physiological MRI of cerebral hemodynamic changes in ICAS patients is promising to inform treatment decisions. Here, we investigated the complex pathophysiology of ICAS using principal component analysis of cerebral perfusion and oxygenation changes to establish disease-specific patterns of CBF, OEF, CMRO2 and the effective oxygen diffusivity of the capillary bed. Regression models revealed the association of pattern expression with sonography-based degree of stenosis and flow velocity in the carotid artery, as well as systemic blood pressure. |
| 0879 | 14:10
|
White Matter Reactivity to Hemodynamic Stimuli: Insights from Dynamic and Maximal Cerebrovascular Reserve after Acetazolamide Provocation |
| James Michael Gee1, Xiuyuan Wang2, Siddhant Dogra1, Jelle Veraart1, Koto Ishida3, Deqiang Qiu4, and Seena Dehkharghani1,3 | ||
1Radiology, New York University, New York, NY, United States, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Neurology, New York University, New York, NY, United States, 4Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States |
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Keywords: White Matter, fMRI (resting state), Cerebrovascular reactivity We explored cerebrovascular reactivity (CVR) of white matter in patients with evidence for micro- and macrovascular disease using our previously described Blood Oxygen Level Dependent – acetazolamide paradigm. Subjects consistently demonstrated lower CVR in voxels with microangiopathic white matter when present in hemispheres with coexistent proximal, large-vessel steno-occlusive disease (SOD). The relationship of CVR values in normal appearing white matter and contralateral white matter lesions in patients with unilateral SOD is more complex and warrants further investigation. |
| 0880 | 14:18
|
Arterial transit artifacts may be easier to identify transient ischemic attack and stroke in intracranial stenosis than High-resolution MRI |
| Ling Li1, Xiaoling Zhang1, Min Tang1, Xiaoyan Lei1, Jing Zhang1, Xuejiao Yan1, Yu Wen1, and Kai Ai2 | ||
1Department of MRI, Shaanxi Provincial People's Hospital, Xi’an, China, 2Philips Healthcare, Xi’an, China |
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Keywords: Stroke, Arterial spin labelling, Arterial transit artifacts, transient ischemic attack, stroke High-resolution magnetic resonance imaging (HRMRI) can be used to characterize the differences in plaque characteristics between transient ischemic attack (TIA) and stroke populations, but it is a time consuming and complicated method.. In this study, we compared the diagnostic performance of HRMRI and arterial spin labeling (ASL) with two post labeling delay times (PLD) combined with clinical risk factors to distinguish TIA and stroke in intracranial stenosis. The results showed that there was no statistical difference between the two methods. In addition, combined model has a good diagnostic performance in predicting stroke occurrence in TIA patients. |
| 0881 | 14:26
|
Quantification of oxygen metabolism in acute ischemic stroke with multi-parametric quantitative BOLD MRI |
| Hongwei Li1, Ying-Hua Chu2, Yu Luo3, and He Wang1,4,5 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2MR Collaboration, Siemens Healthineers Ltd., Shanghai, China, 3Department of Radiology, Shanghai Fourth People's Hospital Affiliated to TongjiUniversity School of Medicine, Shanghai, China, 4Human Phenome Institute, Fudan University, Shanghai, China, 5Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China |
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Keywords: Stroke, Oxygenation Multi-parametric quantitative BOLD (Mq-BOLD), a biophysical model-based technology, has shown promising results for measuring brain oxygenation in healthy subjects. Our purpose is to explore Mq-BOLD in evaluating the changes of oxygen metabolism in early stage of acute ischemic stroke. There is compensatory elevated oxygen extraction fraction (OEF) in the hypoperfused tissue, but decreased cerebral metabolic rate of oxygen (CMRO2) present in the central part of the infarct core. These alternative biomarkers may provide intuitive diagnostic information of ischemic penumbra in stroke. Moreover, Mq-BOLD only depends on standard clinical imaging protocols, which has a great potential for future routine application. |
| 0882 | 14:34
|
Relationship between Lenticulostriate Arteries Numbers and White Matter Changes in Cerebral Small Vessel Disease Patients |
| Yukun Zhang1, Peipei Chang1, Na Liu1, Yiming Wang2, Liangjie Lin3, Qingwei Song1, and Yanwei Miao1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, shanghai, China, 3Clinical and Technical Support, Philips Healthcare, beijing, China |
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Keywords: Stroke, White Matter, Cerebral Small Vessel Disease In this study, according to the number of lenticulostriate arteries (LSAs), cerebral small blood vessel disease (CSVD) was divided into three groups. Differences of typical CSVD markers and whole brain analysis based on diffusion tensor imaging (DTI) were explored among three groups. It was found that with the decrease of the number of LSAs, the volume of WMH and the scope and extent of fiber tract damage increased. Results show that the change of LSAs have the potential to represents extensive subcortical microvascular damage of brain tissues in CSVD. |
| 0883 | 14:42
|
Microvascular response of an oxygen carrier in the penumbral tissue of fast and slow progressors in a canine large vessel occlusion model |
| Mohammed Salman Shazeeb1, Robert King1, Zeynep Vardar1, Josephine Kolstad1, Anna Kuhn1, Vania Anagnostakou1, Christopher Raskett1, Jonathan Winger2, Ana Krtolica3, Nils Henninger1, and Matthew Gounis1 | ||
1University of Massachusetts Chan Medical School, Worcester, MA, United States, 2Omniox, Inc., Palo Alto, CA, United States, 3Oryn Therapeutics, Redwood City, CA, United States |
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Keywords: Stroke, Diffusion/other diffusion imaging techniques In acute ischemic stroke due to large vessel occlusion (LVO), information about the penumbral tissue can be vital in making decisions on how to treat ischemic stroke patients in the clinic. This study investigated the use of intravoxel incoherent motion (IVIM) MRI in a canine LVO model to quantify the perfusion information in penumbral tissue of fast and slow progressors that received an oxygen carrier drug. The IVIM parameters were assessed to predict the onset of penumbral tissue death. The IVIM parameters showed a better utility in predicting penumbral tissue death in fast progressors compared to slow progressors. |
| 0884 | 14:50
|
Quantitative evaluation of mannitol induced effects on ischemic rat brains using free water elimination and mapping with explicit T2 attenuation |
| Chia-Wen Chiang1, Ezequiel Farrher2, Kuan-Hung Cho1, Sheng-Min Huang1, N. Jon Shah2,3,4,5,6, Chang-Hoon Choi2, and Li-Wei Kuo1,7 | ||
1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 2Institute of Neuroscience and Medicine – 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany, 3Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany, 4JARA – BRAIN – Translational Medicine, RWTH Aachen University, Aachen, Germany, 5Institute of Neuroscience and Medicine – 11, Forschungszentrum Jülich, Jülich, Germany, 6Monash University, Melbourne, Australia, 7National Taiwan University College of Medicine, Taipei, Taiwan |
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Keywords: Stroke, Treatment Cerebral edema occurs after stroke. Mannitol is commonly used dehydrating agent for effectively improving cerebral edema. However, the edema state after mannitol administration and its effectiveness at the post-acute stages remain unclear. Recently, we have demonstrated free-water elimination and mapping (FWET2) can be used to characterize vasogenic edema in stroke animal models. The aim of this study was to quantitatively evaluate mannitol-induced effects on ischemic rat brains at different time points by using FWET2. We attempted to examine if free water fraction change could reflect mannitol-induced effects on infraction and correlate free water fraction change with total infarct volume. |
| 0885 | 14:58
|
Pre-surgical structural and functional MRI to optimize cerebellar stimulation electrode placement for chronic stroke therapy |
| Jacqueline Chen1, Ajay Nemani1, Julio Cesar de Almeida2,3, Xuemei Huang1, Leonardo Favi Bocca4, Kenneth B Baker1, Mark J Lowe1, Stephen E Jones1, and Andre G Machado1 | ||
1Cleveland Clinic, Cleveland, OH, United States, 2Santa Casa de Belo Horizonte Hospital, Belo Horizonte, Brazil, 3Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 4Universidade Federal de Sao Paulo, Sao Paulo, Brazil |
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Keywords: Stroke, fMRI (resting state), deep brain stimulation To improve reproducibility of positive outcomes from cerebellar dentate stimulation for chronic stroke, we hypothesized that the volume of tissue activated (VTA) (dentateVTA) proximity to the volume functionally connected to ipsilesional motor-associated cortices (dentateFC-ipsi-motor) would be associated with improved arm impairment/function metrics. DentateVTA was estimated using computed tomography and T1-weighted MRI. DentateFC-ipsi-motor was estimated from fMRI (resting state). Significant correlations with arm metric improvement were not found for dentateVTA proximity to dentateFC-ipsi-motor, but were found for dentateVTA size, distance from center, and percentage VTA in the inferior-lateral-posterior region. These findings suggest stimulating a small target at the inferior-posterior-lateral dentate edge. |
| 0886 | 15:06
|
The validation of ASL-aCBV measured by Hadamard encoded ASL imaging evaluating moyamoya disease correlative study with 15O-H2O PET-aCBV. |
| Hirohiko Kimura1,2, Makoto Isozaki3, Shota Ishida4, Naoyuki Takei5, Yasuhiro Fujiwara6, Yuki Matta7, HIdehikko Okazawa8, and Tetsuya Tsujikawa9 | ||
1Faculty of Medical Sciences, University of Fukui, Eiheiji, Japan, 2Radiology, National Health Insurance Echizen-cho Ota Hospital, Fukui, Japan, 3Neurosurgery, University of Fukui, Eiheiji, Japan, 4Department of Radiological Technolog, Kyoto College of Medical Science, Kyoto, Japan, 5GE Healthcare, Hino, Japan, 6Kumamoto University, Kumamoto, Japan, 7University of Fukui Hospital, Eiheiji, Japan, 8Biomedical Imaging Research Center, University of Fukui, Eiheiji, Japan, 9Department of Radiology, University of Fukui, Eiheiji, Japan |
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Keywords: Stroke, Perfusion, Arterial spin labeling, CBF, CBV Positron emission computed tomography (PET) has been used for evaluating cerebral blood flow (CBF) in moyamoya disease to diagnose and assess revascularization result for the patient. Using Hadamard encoded method and DANTE vascular suppression, arterial transit time (ATT) and delay corrected both CBF and aCBV could be obtained in clinical setting. This study aimed to clarify whether ASL- aCBV hemodynamically related to PET-V0 obtained from PET data. There was a significant correlation between PET and CBF both on CBF and aCBV. This may suggest that aCBV could become an additional hemodynamic parameter related to aCBV in completely non-invasive way. |
| 0887 | 15:14
|
Pseudo-continuous arterial spin labeling evaluation of collateral circulation at 7T and 3T MRI in Moyamoya disease |
| Jinhao Lyu1, Qi Duan2, Caohui Duan2, Xiangbing Bian2, Danny JJ Wang3, Chenyang Zhao3, Jianxun Qu4, and Lou Xin2 | ||
1Radiology, Chinese PLA General Hospital, Beijing, China, 2Chinese PLA General Hospital, Beijing, China, 3Mark & Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine University of Southern California (USC), Los Angeles, CA, United States, 4MR Collaboration, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Stroke, Perfusion We compared the performance of pseudo-continuous arterial spin labeling (ASL) between ultrahigh field 7T MRI and 3T MRI in evaluating collateral circulation based on arterial transit artifact (ATA) in Moyamoya disease (MMD). 7T ASL shows more subtle hypoperfusion and more prominent ATA as compared with 3T ASL. The performance of collateral circulation assessment is more favorable by 7T ASL. These findings render 7T ASL a competing none-invasive approach in the management of MMD. |
| 0888 | 15:22
|
Mapping the vascular reserve in white matter and basal ganglia using Ferumoxytol-enhanced MRI at 7T |
| Chenyang Li1,2, Li Jiang1, Zhe Sun1,2, Marco Muccio1, Yongsheng Chen3, Sagar Buch3, E.Mark Haacke4, Jiangyang Zhang1, and Yulin Ge1 | ||
1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, United States, 3Department of Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 4Department of Radiology, Wayne State University School of Medicine, Detroit, MI, United States |
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Keywords: Blood vessels, Susceptibility, Cerebral blood volume In this work, we use high resolution susceptibility weighted imaging (SWI) and ΔR2* to investigate the cerebral blood volume (CBV) in white matter tracts and basal ganglia after the administration of blood-pool contrast agent Ferumoxytol. Utilizing the merit of ultrahigh field and strong T1 and T2* shortening contrast agent, we further probe the effect of microvascular density on capillary CBV in white matter tracts and basal ganglia, which provides additional insights to the vascular reserve at capillary level in white matter and basal ganglia. |
13:30
|
PET/MR | |
| Patrick Veit-Haibach1 | ||
1Toronto General Hospital, Toronto, Canada |
13:50
|
Hypoxia Imaging with PET/CT and PET/MRI | |
| Deena Neriman1 | ||
1University College London, London, United Kingdom |
| 0889 | 14:10
|
Simultaneous PET/MRI can measure extracellular pH in the tumor microenvironment |
| Alyssa C Pollard1,2, Jorge de la Cerda1, F William Schuler1, Tyler R Pollard1, Aikaterini Kotrotsou1, Loreno Palagi3, Chetan Dhakan1, Federica Pisaneschi1, and Mark D Pagel4 | ||
1Department of Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 2Department of Chemistry, Rice University, Houston, TX, United States, 3Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy, 4Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: PET/MR, Contrast Agent, pH imaging Acidosis is a useful biomarker for tumor diagnoses and for evaluating early response to anti-cancer treatments. T1-based MRI contrast agents have been developed with a r1 relaxivity that is responsive to extracellular pH (pHe) in the tumor microenvironment. However, the concentration of these agents in the tumor must also be known to determine r1 relaxivity. We have developed PET/MRI co-agents that can be evaluated with simultaneous PET/MRI during pre-clinical studies with mouse models of human cancers. The PET agent reports on the concentration of the agents, which can be used to determine r1 relaxivity and estimate pHe in tumors. |
| 0890 | 14:18
|
Brownian superparamagnetic iron oxide nanoparticles enable therapeutic cell viability monitoring with Magnetic Particle Imaging |
| Renesmee Kuo1, Chinmoy Saayujya2, Kim Hwang Yeo2, Irati Rodrigo2, Prashant Chandrasekharan2, Quincy Huynh2, Benjamin Fellows2, John Pauly1, and Steven Conolly2 | ||
1Stanford University, Stanford, CA, United States, 2University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Molecular Imaging, Cell Tracking & Reporter Genes Molecular imaging tools can noninvasively track cells in vivo. However, no techniques today can rapidly monitor cell therapies to allow for nimble treatment optimization for each patient, the epitome of Personalized Medicine. Magnetic Particle Imaging (MPI) is a new tracer imaging technology that could soon provide MDs unequivocal therapy treatment feedback in just three days. MPI with Brownian SPIOs shows promise towards noninvasive sensing of cell viability via viscosity changes in apoptotic cells. This unique ability could greatly improve the efficacy of cell therapies by enabling rapid personalization of the treatment. |
| 0891 | 14:26
|
Anatomical MRI-guided deep learning-based low-count PET image recovery without the need for training data – a PET/MR study |
| Tianyun Zhao1, Thomas Hagan1, Christine DeLorenzo1,2, and Chuan Huang1,3 | ||
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, 3Radiology, Stony Brook Medicine, Stony Brook, NY, United States |
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Keywords: PET/MR, PET/MR The advent of simultaneous PET/MRI enables the possibility of using MRI to guide PET image reconstruction/recovery. Deep-learning approaches have been explored in low-count PET recovery, with current approaches focus on supervised learning, which requires a large amount of training data. A recently proposed unsupervised learning image-recovery approach does not require this but relies on the optimal stopping criterion. In this work, we developed an unsupervised learning-based PET image recovery approach using anatomical MRI as input and a novel stopping criterion. Our method achieved better image recovery in both global image similarity metrics and regional standard uptake value (SUV) accuracy. |
| 0892 | 14:34
|
Evaluation of deep learning high-resolution Dixon PET/MR attenuation correction using 16-channel head-neck and 32-channel head coils |
| Chunwei Ying1, Yasheng Chen2, Matthew R. Brier2, Shaney Flores1, Richard Laforest1, Tammie L. S. Benzinger1,2,3, and Hongyu An1,2 | ||
1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States, 2Department of Neurology, Washington University School of Medicine, St Louis, MO, United States, 3Department of Neurosurgery, Washington University School of Medicine, St Louis, MO, United States |
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Keywords: PET/MR, Brain, attenuation correction We evaluated the accuracy of a deep learning-based PET/MR attenuation correction (AC) method with vendor-provided high-resolution Dixon in- and opp-phase images as inputs (DL-HiRes). We found that the DL-HiRes AC method significantly outperformed the vendor-provided skull model AC method for both 16-channel head-neck coil and 32-channel head coil (p<0.001). Moreover, the DL-HiRes method had similar AC accuracy using different head coils. |
| 0893 | 14:42
|
Amide proton transfer image corrected by apparent diffusion coefficient improved diagnostic accuracy in grading brain tumors on a PET/MR system |
| Koji Sagiyama1, Osamu Togao2, Takeshi Kamitani1, Koji Yamashita3, Yuzo Yamasaki1, Kazufumi Kikuchi1, Takuya Hino1, and Kousei Ishigami1 | ||
1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Department of Radiology Informatics and Network, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan |
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Keywords: Tumors, PET/MR, Amide Proton Imaging, Apparent Diffusion Coefficient, ADC Amide proton transfer (APT) imaging is useful for grading brain tumors; however, its diagnostic accuracy is compromised by the heterogeneity of the tumor's structure. In this study, we investigated using a PET-magnetic resonance (PET/MR) system whether dividing the APT by the apparent diffusion coefficient (ADC) improves the diagnostic ability of high-grade and low-grade brain tumors by correcting for the effects of tissue structure. The corrected APT (APT/ADC) showed the best diagnostic performance in grading brain tumors compared to APT, ADC, and standardized uptake value (SUV) alone. |
| 0894 | 14:50
|
Oxygen-Enhanced MRI Assessment of Radiotherapy-Induced Treatment Effects in Patients with Head and Neck Cancer |
| Michael J Dubec1,2, John Gaffney3, David L Buckley2,4, Michael Berks1, Anubhav Datta1,5, Damien J McHugh1,2, Ross A Little1, Susan Cheung1, Christina Hague3, Julian C Matthews6, Ananya Choudhury1,3, Marcel van Herk1, Andrew McPartlin7, Geoff JM Parker8,9, and James PB O'Connor1,5,10 | ||
1Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 2Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom, 3Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 4Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 5Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 6Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 7Radiation Medicine, Princess Margaret Cancer Centre, Toronto, ON, Canada, 8Bioxydyn Ltd, Manchester, United Kingdom, 9Centre for Medical Image Computing, University College London, London, United Kingdom, 10Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom |
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Keywords: Cancer, Head & Neck/ENT, Tumour Hypoxia, Radiotherapy, OE-MRI, MR Linac Hypoxia is common to most solid tumours and mediates treatment resistance. Oxygen-enhanced (OE)-MRI can identify, map and quantify hypoxia in multiple tumour types including H&N cancer. We build upon previous work to show that OE-MRI biomarkers: (i) can be deployed on multiple MRI systems; (ii) are repeatable; (iii) can detect cohort level response to radiotherapy; (iv) can identify which individual lesions have significant changes in their oxygenation, hypoxic volume and hypoxic fraction. |
| 0895 | 14:58
|
In-Vivo Simultaneous Hyperpolarized 129Xe MRI and [15O]-water PET Multi-Modal Imaging: A Proof of Concept Study |
| Ramanpreet K. Sembhi1, Matthew S. Fox1,2, Heeseung Lim2,3, Justin W. Hicks2,4, Shawn N. Whitehead5, Jonathan D. Thiessen2,4, Grace Parraga4,6, and Alexei V. Ouriadov1,2,7 | ||
1Department of Physics and Astronomy, The University of Western Ontario, London, ON, Canada, 2Lawson Health Research Institute, London, ON, Canada, 3Siemens Healthcare Limited, London, ON, Canada, 4Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada, 5Department of Anatomy and Cell Biology, The University of Western Ontario, London, ON, Canada, 6Robarts Research Institute, London, ON, Canada, 7School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada |
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Keywords: PET/MR, Hyperpolarized MR (Gas) In this proof-of-concept study, simultaneous 129Xe-based MRI and [15O]-water PET images were collected and compared from rat brain. For initial validation phase in phantoms, we have dissolved 129Xe in [15O]-water to simultaneously use both imaging modalities and confirm that PET/MRI images reflect the true density of the 15O/129Xe. The comparison results show similarity between both imaging modalities and tracers, moving towards the next step in validating the Xenon imaging technique as a potential for brain perfusion measurement. The acquisitions were carried out using a 3T PET/MRI (Siemens Biograph mMR). |
| 0896 | 15:06
|
Combining Hyperpolarized Magnetic Resonance and Positron Emission Tomography to Interrogate Prostate Cancer Metabolism |
| Jose Santiago Enriquez1,2, Prasanta Dutta1, Ryan C Armijo1, Muxin Wang1, Jenny Jie Han1, Peter Shepherd3, Daniel Frigo1,2, Mark Titus3, Federica Pisaneschi1, and Pratip Bhattacharya1,2 | ||
1Cancer System Imaging, UT MD Anderson Cancer Center, Houston, TX, United States, 2UT MD Anderson Cancer Center UT Health Science Center Houston Graduate School of Biomedical Sciences, Houston, TX, United States, 3Genitourinary Medical Oncology, UT MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: PET/MR, Cancer, Prostate Cancer, Metabolic Imaging, Hyperpolarized MR Many advanced prostate cancer patients receiving anti-androgens (Enzalutamide) as the first line of treatment, develop resistance which relapses into metastatic castrate-resistant prostate cancer (mCRPC). Treatment options for mCRPC patients are limited and continue to pose a significant oncological challenge with an alarming low survival rate of only 28%. The overarching goal of this research is thus to develop personalized metabolic imaging modality to target treatment strategies of different metabolic sub-types of prostate cancer by targeting pyruvate-to-lactate metabolism by hyperpolarized [1-13C]-pyruvate MR and fatty acid oxidation by 18F-FPIA PET. |
| 0897 | 15:14
|
Deep Learning Based Automated Multi-Organ Segmentation in Lymphoma Patients using Whole Body Multiparametric MRI Images |
| Anum Masood1,2, Sølvi Knapstad2, Håkon Johansen3, Trine Husby3, Live Eikenes 1, Pål Erik Goa2,3, and Mattijs Elschot 1,3 | ||
1Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway, 2Department of Physics, NTNU, Trondheim, Norway, 3Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway |
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Keywords: Segmentation, Data Processing, Automated Segmentation, Deep Learning, nnUnet Widespread of lymphoma cancer makes manual segmentation of metastatic lymph nodes a tedious task. Lymphoma cancer is assigned an anatomic stage using the Ann Arbor system which relies on the segmentation and localization of affected lymph nodes with respect to anatomical stations. We present a framework for multi-organ segmentation for multiparametric MRI images. Our modified nnUnet using a transfer learning approach achieved 0.8313 mean DSC and 0.659 IoU in lymphoma cancer dataset. |
| 0898 | 15:22
|
Semiautomated Pelvic Lymph Node Treatment Response Evaluation for Patients with Advanced Prostate Cancer: Based on MET-RADS-P Guidelines |
| xiang liu1 and xiaoying wang1 | ||
1peking university first hospital, Beijing, China |
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Keywords: Cancer, Prostate, metastases This retrospective study aims to develop and evaluate a deep learning-based algorithm for semiautomated treatment response assessment of pelvic lymph nodes. A total of 162 patients who had undergone at least two scans for follow-up assessment after advanced prostate cancer metastasis treatment were enrolled. A previously reported deep learning model was used to perform automated segmentation of pelvic lymph nodes. Our results showed that the accuracies of automated segmentation-based response assessment were high for all the target lesions, nontarget lesions and nonpathological lesions according to MET-RADS-P criteria and achieved good consistency with the attending radiologist and fellow radiologist. |
| 0899
|
13:30
|
Relaxation-compensated CEST-MRI at 3 T exhibits regional differences in gray matter and white matter contrasts of glioma patients |
| Florian Kroh1,2, Philip S. Boyd1, Nikolaus von Knebel Doeberitz3, Heinz-Peter Schlemmer3,4, Mark E. Ladd1,2,4, Peter Bachert1,2, Daniel Paech3,5, and Andreas Korzowski1 | ||
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Faculty of Medicine, University of Heidelberg, Heidelberg, Germany, 5Division of Neuroradiology, University Hospital Bonn, Bonn, Germany |
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Keywords: CEST & MT, Brain In this study, the APT-weighted (APTwasym) and relaxation-compensated CEST-MRI contrasts of 9 postoperative glioma patients, were analyzed for potential regional differences in gray and white matter. The purpose of this analysis was to identify the influence of the location within the brain on CEST contrasts of tumorous and healthy control tissue, respectively. For relaxation-compensated CEST (MTRRex), (i) differences between gray and white matter and also (ii) regional differences with a decreased contrast inside the frontal lobe were found. On the contrary, the APTwasym was found to be independent of (i) location and (ii) comparable for gray and white matter. |
| 0900 | 13:38
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Highly Accelerated 3D EPI CEST Imaging using Unevenly Segmented RF Irradiation with Temporal Random Walk Sampling Pattern in a Brain Tumor Patient |
| Hahnsung Kim1,2, Suhyung Park3,4, Ranliang Hu2, Kimberly B Hoang5, and Phillip Zhe Sun1,2 | ||
1Emory National Primate Research Center, Emory University, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 33Department of Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, 4Department of ICT Convergence System Engineering, Chonnam National University, Gwangju, Korea, Republic of, 5Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, United States |
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Keywords: CEST & MT, CEST & MT We proposed a new 3D EPI CEST imaging integrated with unevenly segmented RF irradiation configuration to reduce T1w relaxation-induced signal modulation, thereby allowing for a reliable CEST effect over the whole volume. In addition, a temporal random walk with variable density (VD) CAIPI undersampling is incorporated into segmented 3D EPI for optimized random encoding in CEST imaging. The proposed pulse sequence and reconstruction framework were validated on the phantom and tumor patient. |
| 0901
|
13:46
|
Dynamic glucose enhanced MRI of gliomas: a preliminary clinical application. |
| Jianhua Mo1, Xiang Xu2,3, Andong Ma1, Mingjun Lu1, Xianlong Wang1, Qihong Rui1, Jianbin Zhu1, Haitao Wen1, Genyun Lin1, Chen Zhao4, Linda Knutsson3,5,6, Peter van Zijl3,6, and Zhibo Wen1 | ||
1Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou,Guangdong, China, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Philips Healthcare, Guangzhou, China, 5Department of Medical Radiation Physics, Lund University, Lund, Sweden, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Keywords: CEST & MT, Contrast Agent, glucose In this study, we explored the feasibility of dynamic glucose enhanced (DGE) MRI technology in the clinical application of gliomas. 20 glioma patients underwent pre-operative DGE-MRIs before clinical intervention. We observed a significant increase in DGE area under the uptake curve (AUC) signal in tumors compared to the white matter. In some cases, we found enhancement in DGE MRI in histopathological confirmed tumor region that was not enhanced by Gd T1w MRI. These findings provide a new perspective for the further exploration and analysis of the D-glucose delivery, uptake and metabolism in brain tumors. |
| 0902 | 13:54
|
Identification of energy metabolism remodeling in a rat model of Huntington’s disease using multi-metabolic CEST imaging |
| Yohann Mathieu-Daudé1, Jérémy Pépin1, Jean-Baptiste Pérot1, Cécile Maguin1, and Julien Flament1 | ||
1Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France |
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Keywords: CEST & MT, CEST & MT, gluCEST and glucoCEST Huntington’s disease (HD) is an inherited neurodegenerative disease characterized by motor, cognitive and psychiatric symptoms. As glutamate has been shown to be a potential biomarker of neurodegenerative diseases, we used Chemical Exchange Saturation Transfer imaging of glutamate (gluCEST) to map cerebral glutamate distribution in a rat model of HD. Modification of glutamate levels observed at 12 months were preceded by decrease of lactate concentration and reduced glycolytic metabolism measured glucoCEST at 4 months, suggesting early remodeling of energy metabolism during asymptomatic stage. |
| 0903 | 14:02
|
Ultrafast Z-spectroscopic Imaging in vivo at 3T using through-slice spectral encoding (TS-UFZ) |
| Chongxue Bie1,2,3, Peter C. M. van Zijl1,2, Deng Mao1,4, and Nirbhay N. Yadav1,2 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, BALTIMORE, MD, United States, 2The Russell H. Morgan Department of Radiology, The Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, 3Department of Information Science and Technology, Northwest University, Xi’an, China, 4Philips Healthcare, Baltimore, MD, United States |
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Keywords: CEST & MT, CEST & MT Acquisition of high-resolution Z-spectra requires excessive scan times. Ultrafast Z-spectroscopy (UFZ) can obtain whole Z-spectra within one acquisition by encoding the Z-spectral dimension spatially via a gradient applied concurrently with the saturation RF pulse, significantly reducing the scanning time. Still, UFZ has had limited success in vivo due to tissue heterogeneity. Here, we developed a TS-UFZ imaging approach where both saturation gradient and its readout were applied in the slice direction, where there is minimal heterogeneity. Results show that TS-UFZ allows high spectral- and spatial-resolution imaging of CEST signals in phantoms and human brain at 3T. |
| 0904 | 14:10
|
Fluid-Suppressed APTw is more accurate than Leakage-Corrected rCBV imaging in the distinction between tumor progression and radionecrosis |
| Lucia Nichelli1,2, Christos Papageorgakis3, Mehdi Bensemain4, Julian Jacob2,5, Charles Valery6, Patrick Liebig7, Moritz Zaiss8, Stéphane Lehéricy1,2, and Stefano Casagranda3 | ||
1Department of Neurosurgery, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles-Foix, Paris, France, 2Sorbonne University, ICM, Paris, France, 3Department of R&D Advanced Applications, Olea Medical, La Ciotat, France, 4Department of Radiology, Nancy Regional University Hospital Centre, Nancy, France, 5Department of Radiation-Oncology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié- Salpêtrière-Charles-Foix, Paris, France, 6Department of Neurosurgery, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié- Salpêtrière-Charles-Foix, Paris, France, 7Siemens Healthcare GmbH, Erlangen, Germany, 8Department of Neuroradiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany |
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Keywords: CEST & MT, Tumor, APTw Imaging, Perfusion, Metastases, Radionecrosis, Tumor Progression The distinction between radionecrosis and tumor recurrence is a common diagnostic dilemma, as current advanced multiparametric MRI protocols lack on accuracy. Fluid-Suppressed Amide Proton Transfer weighted (APTw) imaging has strong potentials in brain tumor post-therapeutic assessment. In this study we compare at 3T the diagnostic accuracy of Fluid Suppressed APTw with the most used advanced technique, i.e. the Leakage-Corrected relative Cerebral Blood Volume imaging obtained by DSC perfusion in 22 pre-irradiated metastases. Results show that Fluid-Suppressed APTw metrics can clearly make a distinction between these two pathologies, in contrast to Leakage-Corrected rCBV contrast. |
| 0905 | 14:18
|
Unraveling contributions to the saturated signal at 3.5 ppm in the Z-spectrum of human brain tumors |
| Hye-Young Heo1, Munendra Singh1, Shanshan Jiang1, and Jinyuan Zhou1 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: CEST & MT, CEST & MT Increased cytosolic mobile protein content in gliomas causes amide proton transfer (APT) hyperintensity. However, most current APT imaging protocols acquire APT-weighted images that reflect multiple contributions, including residual direct water saturation (or relaxation), semisolid macromolecular magnetization transfer contrast (MTC) asymmetry, and nuclear Overhauser enhancement (NOE) effects, thus limiting the assessment of clean APT. Herein, we separated water, MTC, and APT signal components from RF saturated signals using an MR fingerprinting sequence and evaluated the contributions to the saturation signal at 3.5 ppm in the Z-spectrum of brain tumors. |
| 0906 | 14:26
|
An Analytic Solution for the Modified WASABI Method: Application to Simultaneous B0, B1 and T1 Mapping and Correction of CEST MRI |
| Patrick Schuenke1, Felix Frederik Zimmermann1, Kerstin Kaspar1, Moritz Zaiss2, and Christoph Kolbitsch1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Institute for Neuroradiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany |
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Keywords: CEST & MT, Data Processing CEST MRI provides a contrast sensitive to exchange processes between solute and water protons that was proven to add value in clinical MRI. However, the contrast is susceptible to B0- and B1 field inhomogeneities as well as the T1 relaxation time. Here we present an analytical solution for a modified WASABI method that enables the quantitative mapping of all three parameters simultaneously from a single CEST-like MRI scan. We show that the generated parameter maps and reference maps match well and demonstrate their applicability for the B0, B1 and T1 correction of CEST MRI data. |
| 0907 | 14:34
|
Validate your CEST simulation! |
| Patrick Schuenke1, Kai Herz2,3, Zhongliang Zu4, Nirbhay Yadav5,6, Qing Zeng5,6, Markus Huemer7, Rudolf Stollberger7, Jiadi Xu5,6, Kexin Wang5,8, Feriel Romdhane9, Dario Livio Longo9, Or Perlman10, Peter C.M. van Zijl5,8, and Moritz Zaiss11 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 3Department of Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany, 4Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 5FM Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States, 6Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7Institut of Bioimaging, Graz University of Technology, Graz, Austria, 8Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 9Institute of Biostructures and Bioimaging (IBB), National Research Council of Italy (CNR), Torino, Italy, 10Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 11Institute for Neuroradiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany |
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Keywords: CEST & MT, Simulations, validation, comparison Quantitative CEST approaches can provide access to the exchange rate and solute concentration of exchange processes of interest. However, differences in the implementation of underlying Bloch-McConnell simulations will lead to differences in the determined quantitative parameters. Thus, we initiated a platform to compare and validate the CEST simulations from various CEST research groups. In this first comparison of continuous-wave saturation schemes, up to 5 different results for 8 compared simulations were observed. The project is still open for participation and we invite everbody to join the comparison and our planned discussions to finally realize a consensus on CEST simulations. |
| 0908 | 14:42
|
Removal of lipid artifacts in CEST data using differential analysis with fitted magnetization transfer and lipid signals (DIGITAL) |
| Zhechuan Dai1, Xingwang Yong1, Jing Zhang2, Xiaoxia Wang2, Qing Li3, Yi Sun3, Ying Cao4, Jiuquan Zhang2, and Yi Zhang1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China, 3MR Collaborations, Siemens Healthineers Ltd., Shanghai, China, 4School of Medicine, Chongqing University, Chongqing, China |
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Keywords: CEST & MT, CEST & MT Chemical exchange saturation transfer (CEST) imaging provides important molecular information that can reflect changes in various pathologies. However, applying CEST to lipid-rich organs, such as the breast, is technically challenging, where the lipid artifacts can grossly affect the CEST signal. In this study, we propose a novel differential analysis method with fitted magnetization transfer and lipid contributions (DIGITAL) to remove the lipid artifacts without changing the acquisition sequence. The DIGITAL method was validated on breast cancer patients, and yielded fewer lipid artifacts and better image smoothness than previous analysis-based methods. |
| 0909 | 14:50
|
Can APT-weighted CEST MRI provide robust measurement at 3T? A reproducibility study in healthy brain and tumor across sessions and scanners |
| Yulun Wu1,2, Tobias C. Wood3, Sophie H.A.E. Derks1,4, Ilanah J. Pruis1, Sebastian van der Voort1,5, Sophie E.M. Veldhuijzen van Zanten1, Marion Smits1,2,5, and Esther A.H. Warnert1,2 | ||
1Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 2Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, Netherlands, 3Centre for Neuroimaging Science, King's College London, London, United Kingdom, 4Department of Medical Oncology, Erasmus MC, Rotterdam, Netherlands, 5Medical Delta, Delft, Netherlands |
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Keywords: CEST & MT, CEST & MT, Amide, reproducibility, brain tumor The goal of this study was to investigate whether APT-weighted CEST imaging can provide reproducible measurements across scan sessions and scanners. Reproducibility of APT-weighted imaging in healthy brain tissue and tumors was evaluated for three CEST metrics: Lorentzian Difference (LD), magnetization transfer ratio asymmetry (MTRasym), and relaxation-compensated inverse magnetization transfer ratio (MTRREX). |
| 0910 | 14:58
|
Quantification of NOE effect and its application on brain tumor detection |
| Jingyi Yu1, Jian Wu1, Xinli Lan1, Yonggui Yang2, Zhigang Wu3, Congbo Cai1, and Shuhui Cai1 | ||
1Department of Electronic Science, Xiamen University, Xiamen, China, 2Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China, 3MSC Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China |
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Keywords: CEST & MT, Machine Learning/Artificial Intelligence Chemical exchange saturation transfer (CEST) quantification is mostly based on pixel-wise fitting of Z-spectra, which is time-consuming and noise-sensitive. Herein, we propose an approach to quantify CEST based on U-Net. The proposed method can simultaneously quantify the concentration and the exchange rate of nuclear Overhauser enhancement (NOE), together with the B0 map. The results of a simulation sample and a rat C6 glioma model suggest that the quantification of NOE effect with U-Net is accurate, precise and fast. |
| 0911 | 15:06
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B0-Robustness and Exchange Weighting of Optimal Control Pulses Compared to State of the Art Pulses for CEST Imaging |
| Clemens Stilianu1, Markus Huemer1, Christina Graf1, Clemens Diwoky2, Armin Rund3, Moritz Zaiss4,5, and Rudolf Stollberger1 | ||
1Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, 2Institute of Molecular Biosciences, University of Graz, Graz, Austria, 3Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria, 4Department High-field Magnetic Resonance, Max Planck Institute Tübingen, Tübingen, Germany, 5Institute of Neuroradiology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany |
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Keywords: CEST & MT, CEST & MT, Spin lock, CESL The exchange weighting and robustness to B0-inhomogeneities are essential properties for accurate CEST-MRI saturation measurements. Therefore, we investigated these properties for a new numerical optimized saturation pulse train and for state-of-the-art saturation pulse strategies in simulation and phantom measurements. We have found that the optimized pulse train generates superior CEST contrast and has very high stability against B0-inhomogenities while maintaining the natural shape at the water peak which improves CEST-spectrum fitting and B0-correction. |
| 0912 | 15:14
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Improving bSSFP-based quantitative magnetization transfer imaging with MR physics-informed artificial neural network |
| Huan Minh Luu1 and Sung-Hong Park1 | ||
1Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
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Keywords: CEST & MT, Quantitative Imaging Most quantitative magnetization transfer imaging (qMT) protocols require additional T1 mapping scan. A recent on-resonance multiple phase-cycle bSSFP method was proposed for qMT that obviates the necessity for T1 mapping, but the fitting results were suboptimal. In this study, we proposed a physics-informed artificial neural network (ANN) to improve the fitting of this method. By using the MR signal model to generate the training data and regularize the network, no in-vivo data acquisition was necessary. Experiments on digital phantom and in-vivo data demonstrated improvement over previous method and better resilience against measurement noise. |
| 0913 | 15:22
|
MT imaging at 0.55T with GRE and bSSFP |
| David Leitão1, Daniel West1, Raphael Tomi-Tricot2,3, Jo Hajnal1,3, Tobias C Wood4, and Shaihan Malik1,3 | ||
1Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom, 3Centre for the Developing Brain, King's College London, London, United Kingdom, 4Department of Neuroimaging, King's College London, London, United Kingdom |
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Keywords: Magnetization transfer, Magnetization transfer, Low-Field MRI We used multiband pulses to obtain Magnetization Transfer (MT) weighted images at 0.55T in a time-efficient manner. White Matter (WM)/Grey Matter (GM) contrast is compared across several flip-angles for both GRE and bSSFP sequences. GRE showed larger MTR WM/GM difference but after accounting for signal-to-noise ratio bSSFP had 50% better contrast-to-noise ratio. |
13:30
|
Invited Talk #1 | |
| Fernando E Boada1 | ||
1Stanford University, United States |
13:50
|
In vivo direct imaging of neuronal activity at high temporal and spatial resolution | |
| Jang-Yeon Park1,2 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
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Keywords: Contrast mechanisms: fMRI There has been a longstanding demand for noninvasive neuroimaging with high spatiotemporal resolution. Recently, an approach has been proposed that enables Direct Imaging of Neuronal Activity (DIANA) with milliseconds temporal resolution, demonstrated by in vivo mouse brain imaging at 9.4T. DIANA showed high correlations with neuronal spikes, capturing neuronal-activity propagation along the thalamocortical pathway. The DIANA contrast mechanism may be attributed to changes in membrane potential-associated T2 relaxation time. Finally, DIANA may require different considerations in data acquisition and analysis than BOLD-fMRI, as DIANA is directly related to neuronal activity including spontaneous ongoing activity as well as responses to stimuli. |
| 0914 | 14:10
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Quantum-Sensing MRI for Non-Invasive Detection of Neuronal Firing in Human Brain: Initial Demonstration via Finger-Tapping Task |
| Yongxian Qian1, Xingye Chen1, Ying-Chia Lin1, Simon Henin2,3, Nahbila-Malikha Kumbella1, Liz Aguilera1, Zena Rockowitz3, Ashley Clayton3, James Babb1, Yulin Ge1, Arjun Masurkar2,3, Anli Liu2,3, Yvonne W. Lui1,4, and Fernando E. Boada1,5 | ||
1Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Neurology, NYU Grossman School of Medicine, New York, NY, United States, 3Neurology, NYU Langone Health, New York, NY, United States, 4Radiology, NYU Langone Health, New York, NY, United States, 5Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Nerves, Neuro, fMRI (task) Neuronal firing is the electrophysiological basis of brain function. BOLD-based functional MRI indirectly detects neuronal activity through an uncertain neuro-hemodynamic mechanism and is also limited to the detection of slow neuronal activity such as postsynaptic potentials due to its relatively low temporal resolution. Recent efforts have improved temporal resolution to milliseconds or even sub-milliseconds, under the assumption that neuronal activity is exactly repeatable in time, though unlikely to be practical. Here we demonstrate the potential of quantum-sensing MRI to directly detect neuronal firing using a finger-tapping task. |
| 0915 | 14:18
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Observing visually evoked responses in human thalamus and cortex at millisecond temporal resolution: Preliminary study at 3 T |
| Phan Tan Toi1,2, Sehong Oh3, and Jang-Yeon Park1,2 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 3Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of |
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Keywords: fMRI, Brain There has been interested in observing neural activity dynamics in humans at high temporospatial resolution using noninvasive neuroimaging. Here, we report preliminary results of direct imaging of neuronal activity (DIANA) in humans at 3T using checkerboard pattern stimulation. The results show sequential temporospatial dynamics of activities in visual and prefrontal areas evoked by checkerboard pattern stimulation with a signal change of 0.1~0.3%. In contrast, DIANA signals were distinct from control experiments compared with checkerboard pattern stimulation ones. Our preliminary observations suggest that DIANA is feasible for human fMRI studies. |
| 0916 | 14:26
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Investigating the Direct Imaging of Neuronal Activity (DIANA) contrast mechanism using human brain organoids |
| Sean Morrison1, Ewald Webber2, Carl Dixon3, Donald Maillet3, Ernst Wolvetang1, and Martijn A. Cloos3 | ||
1Australian Institute for Bioengineering and Nanotechnology, University of Queensland, St Lucia, Australia, 2School of Information Technology and Electrical Engineering, University of Queensland, St Lucia, Australia, 3Centre for Advanced Imaging, University of Queensland, St Lucia, Australia |
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Keywords: Contrast Mechanisms, fMRI, DIANA Here we describe our initial results investigating DIANA’s ability to capture neuronal activation in humans brain organoids. Following drug delivery a 3min long window with 0.5% increased signal was observed. Although tantalising, further experiments are needed to confirm these results. |
| 0917 | 14:34
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In vivo Detection of Changes in Membrane Potential in Rat Cortex by T2 mapping |
| Kyeongseon Min1, Sungkwon Chung2, Seung‐Kyun Lee3, Jongho Lee1, Tan Toi Phan4,5, Daehong Kim6, and Jang-Yeon Park4,5 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Physiology, Sungkyunkwan University School of Medicine, Suwon, Korea, Republic of, 3GE Global Research, Niskayuna, NY, United States, 4Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 5Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 6National Cancer Center, Goyang, Korea, Republic of |
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Keywords: fMRI, Contrast Mechanisms Membrane potential is the crucial element of neuronal activation. We investigated the possibility of using MRI to detect the depolarization of membrane potential in rat cortex. To directly access brain cells, a craniotomy was performed to make a burr hole on the skull. T2 change in the exposed cortex was measured while depolarizing it by directly perfusing artificial cerebrospinal fluid of high potassium concentration. Our findings showed that T2 value of depolarized cortex increased by +2.7% at [K+] = 80 mM. This observation demonstrates that changes in membrane potential are detectable with MRI by T2 contrast in vivo. |
| 0918 | 14:42
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Correlation of zero echo time MB-SWIFT fMRI with neuronal activity during sensory stimulation in anesthetized and awake rats |
| Juha Valjakka1, Jaakko Paasonen1, Raimo A. Salo1, Ekaterina Paasonen1, Irina Gureviciene1, Mikko Kettunen1, Djaudat Idiyatullin2, Shalom Michaeli2, Silvia Mangia2, Heikki Tanila1, and Olli Gröhn1 | ||
1A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Keywords: fMRI, Brain, Zero echo time Zero echo time (ZTE) fMRI with MB-SWIFT poses an artefact free alternative to traditional EPI-based BOLD fMRI approaches. However, the exact origin of the fMRI signal captured with ZTE is unknown. In this work, we investigated the correlation between electrical brain activity and the ZTE fMRI signal during sensory stimulation in anesthetized and awake rats. It is shown that a linear model explains the relationship between the fMRI signal and electrical activity in anesthetized but not in awake rats. We conclude that MB-SWIFT fMRI provides a good proxy for neuronal activity under conventional experimental conditions. |
| 0919 | 14:50
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Direct detection of neural activity in humans by ultrafast high-sensitivity SLAM MRI at 3T |
| Yi Zhang1,2, Peiying Liu2, Wenqi Wang1, Deng Mao3, and Paul Bottomley2 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science at Zhejiang University; and the Department of Radiology, Children’s Hospital, Zhejiang University, Hangzhou, China, 2Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 3Philips Healthcare, Cleveland, OH, United States |
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Keywords: fMRI, fMRI The direct MRI detection of neural activity in humans is a long-sought goal that has been attempted by many. We posit that a key reason for prior failures is inadequate sensitivity. Spectroscopy with linear algebraic modeling (SLAM) is a compartmental imaging method that provides enormous gains in speed and signal-to-noise ratio (SNR). Here we use it to directly obtain MRI signals from arbitrarily-shaped brain regions with arguably the highest possible SNR efficiency. We successfully detect neural responses elicited by rhythmic finger-tapping at the tapping frequency in humans at 3T, as confirmed by simultaneously-acquired EEG data. |
| 0920 | 14:58
|
Blood volume based functional MRI using velocity selective pulses and SERIOS readout |
| Luis Hernandez-Garcia1, David Frey1, Jon-Fredrik Nielsen1, and Douglas Clare Noll1 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States |
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Keywords: New Signal Preparation Schemes, Brain, fmri We investigate a new fast readout sequence to collect blood volume image time series in using two different velocity selective pulses. We compare two classes of pulses that target the blood or the stationary tissue. The two approaches are demonstrated and compared in a simple viso-motor blood volume based functional MRI experiment. |
| 0921 | 15:06
|
Fast Diffusion fMRI (dfMRI) along the visual pathway closely tracks electrophysiological signals in the negative BOLD regime |
| Rita Gil1, Ana Mafalda Valente1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal |
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Keywords: fMRI, Multimodal, Preclinical The underlying sources of negative BOLD responses (NBRs) are still debated. We have recently shown that Positive BOLD response (PBR) to NBR transitions can be induced in the visual pathway by modulating the visual frequency of stimulation, reflecting neural activation/suppression, respectively. Here, we investigate how diffusion functional MRI (dfMRI) signals, which suffer less from vessel contamination, correspond to these activation and suppression regimes. Our results show that dfMRI signals are sharper and more sensitive to suppression induced at high visual stimulation frequencies. Furthermore, striking electrophysiology characteristics such as onsets and offset peaks are more prominent in the dfMRI signals. |
| 0922 | 15:14
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Investigation of electrical conductivity changes during functional activity of the brain via phase-based MR-EPT: Preliminary observation |
| Kyu-Jin Jung1, Chuanjiang Cui1, Jae-Hun Lee1, Jun-Hyeong Kim1, Kyoung-Jin Park1,2, SooHyoung Lee1, SunYoung Jung3, and Dong-Hyun Kim1 | ||
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Department of Biomedical Engineering, Yonsei University, Wonju, Korea, Republic of |
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Keywords: Electromagnetic Tissue Properties, Electromagnetic Tissue Properties BOLD-fMRI is measured from time-series of magnitude information, whereas the phase contrast information, which is related to the electrical properties, is excluded from process. In this study, we focus on the phase information and attempt to expose the relationship between BOLD signal and conductivity activation. In addition, we investigate the potential of functional EPT relative to standard BOLD fMRI. |
| 0923 | 15:22
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High-frequency Conductivity Signal Changes Measured with Functional MREPT during Visual Stimulation |
| Geon-Ho Jahng1, Jeonin Jeong2, Mun Bae Lee3, Jiyoon Lee2, and Oh In Kwon3 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Biomedical Engineering, Kyung Hee University, Yongin-si, Korea, Republic of, 3Mathematics, Konkuk University, Seoul, Korea, Republic of |
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Keywords: Electromagnetic Tissue Properties, fMRI To investigate the neuronal response of conductivity during visual stimulation and compare that with BOLD, 30 young healthy volunteers were recruited from the local community. We performed two independent experiments of functional magnetic resonance electrical properties tomography (MREPT) MRI. We found that the conductivity value was increased during visual stimulation to some brain areas, indicating that functional MREPT MRI can be used to measure neuronal activity; therefore, conductivity-based fMRI signals may be helpful for measuring neuronal activation during stimulation. |
| 0924 | 13:30
|
4D flow MRI to evaluate flow and future liver remnant growth after portal vein embolization |
| Thekla Helene Oechtering1,2, Tilman Schubert1,3, Qianqian Zhao4, Roxana A Alexandridis4, Nikolaos Panagiotopoulos1,2, Oliver Wieben1,5, Kevin M Johnson1,6, Alejandro Roldán-Alzate7,8,9, and Scott B Reeder1,5,8,9,10 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, USA, WI, United States, 2Department of Radiology, Universität zu Lübeck, Lübeck, Germany, 3Department of Neuroradiology, Zurich University Hospital, Zurich, Switzerland, 4Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 8Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 9Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 10Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Liver, Velocity & Flow Early prediction of remnant liver growth after portal vein embolization (PVE) would enable earlier surgery in patients with liver malignancies and thus decrease the risk of tumor progression. Portal blood flow after PVE holds the potential to be an important predictor for hypertrophy of the non-embolized segments. We demonstrated the feasibility of 4D flow MRI quantification of portal blood flow before and after PVE in a porcine model. Flow changes immediately after PVE were predictive of the change in liver volume 2 weeks post PVE in both the embolized and non-embolized liver lobes. |
| 0925 | 13:38
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Estimation of Aortic Pressure Difference in Fontan Patients by 4D Flow MRI |
| Hsueh-Ping Hung1, Ming-Ting Wu2, Ken-Pen Weng3,4, and Hsu-Hsia Peng1 | ||
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, 3Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, 4Department of Pediatrics, National Yang Ming Chiao Tung University, Taipei, Taiwan |
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Keywords: Heart, Cardiovascular We aimed to evaluate the aortic blood pressure characteristics and cardiac function in patients after the Fontan operation. The Fontan group exhibited significantly increased peak diameter index and decreased peak velocity and peak flow rate in some of planes in the aorta. The Fontan group also presented decreased pressure difference (PD) in aortic arch and descending aorta. The aortic PD might be more sensitive than cardiac index in detection of cardiovascular alteration in Fontan patients. The aortic PD measured by 4D flow MRI can be a noninvasive alternative to characterize aortic remodeling. |
| 0926
|
13:46
|
Respiration-resolved 5D flow MRI: Impact of the number of respiratory states of blood flow quantification in congenital heart disease patients |
| Elizabeth Weiss1, Justin Baraboo1, Liliana Ma1, Mariana B. L. Falcão2, Christopher W. Roy2, Joshua D. Robinson3, Matthias Stuber2, Cynthia K Rigsby4, and Michael Markl1 | ||
1Radiology, Northwestern University, Chicago, IL, United States, 2University of Lausanne (CHUV), Lausanne, Switzerland, 3Cardiology, Ann & Robert Lurie Children's Hospital, Chicago, IL, United States, 4Medical Imaging, Ann & Robert Lurie Children's Hospital, Chicago, IL, United States |
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Keywords: Flow, Velocity & Flow, congenital heart disease We adapted our novel respiratory gating method to evaluate the impact of respiratory state (RS) resolution on respiratory driven flow measured by 5D flow MRI. We found that the impact of respiratory state resolution was both anatomy and vessel dependent. Caval veins and measurements in single ventricle disease patients were most impacted by the reduction of respiratory states. Shunt patients and pulmonary artery measurements were more robust to reduced RS and may be able to take advantage of the decreased acceleration associated with fewer RS. 5D flow MRI is well suited for this variable need as respiratory gating is retrospective. |
| 0927 | 13:54
|
Autonomous 5D-flow with Radial k-Space Sampling |
| Ana E Rodríguez-Soto1, Eleanor L Schuchardt2, Sanjeet Hedge2, Walter R Witschey3, and Francisco Contijoch1,4 | ||
1Radiology, University of California San Diego, La Jolla, CA, United States, 2Rady Children's Hospital San Diego, San Diego, CA, United States, 3University of Pennsylvania, Philadelphia, PA, United States, 4Bioengineering, University of California San Diego, La Jolla, CA, United States |
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Keywords: Flow, Simulations Autonomous acquisition of radial k-space data improves sample uniformity in 2D cardiac MRI. We aim to extend this approach to 5D-flow imaging (4D flow with respiratory gating). We have simulated data acquisition using an autonomous approach (ARKS) and compared it to golden-angle (GA) based spiral phyllotaxis acquisition. Simulations were based on physiologic data recorded from pediatric patients undergoing conventional 4D flow imaging. We found that a 4.5 min ARKS scan achieves a higher degree of sampling uniformity than an 8 min GA scan. Future work will focus on implementing 5D-flow ARKS in vivo and evaluating the impact on flow accuracy. |
| 0928 | 14:02
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A deep learning framework for cardiac self-gating in free-running radial 4D flow MRI |
| Mariana B.L. Falcão1, Giulia M.C. Rossi1, Jonas Richiardi1, Xavier Sieber1, Pierre Monney2, Tobias Rutz2, Milan Prša3, Estelle Tenisch1, Anna Giulia Pavon4, Panagiotis Antiochos2, Matthias Stuber1,5, and Christopher W. Roy1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Service of Cardiology, Centre de Resonance Magnétique Cardiaque (CRMC), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3Woman- Mother- Child Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland, 5Center for Biomedical Imaging (CIBM), Lausanne, Switzerland |
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Keywords: Flow, Cardiovascular, Cardiac signal extraction Self-gating (SG) techniques improve the ease-of-use of cardiac MR by deriving cardiac signals from the data itself, obviating the need for ECG lead placement. Nonetheless, unpredictable shifts between the features of SG signals and the conventionally used R-wave peaks from ECG might hamper a direct link of reconstructed image frames with physiology. In this work, we developed a fully convolutional neural network to predict R-wave peak timepoints from SG imaging readouts in free-running radial 4D flow data, and provided a proof-of-concept of the usability of such learned R-wave peak timepoints for reconstructing cardiac-resolved 4D flow images. |
| 0929 | 14:10
|
Impact of regularization factor on quantification of flow and turbulence in highly undersampled 4D flow MRI |
| Pietro Dirix1, Stefano Buoso1, Valery Vishnevskiy1, and Sebastian Kozerke1 | ||
1University and ETH Zurich, Zürich, Switzerland |
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Keywords: Flow, Image Reconstruction We investigate the impact of regularization on the quantification of flow and turbulence in highly undersampled data. To overcome the uncertainties due to the lack of ground truth, patient-specific aortic geometry and inflow conditions were extracted from in-vivo 2D cine and 2D phase-contrast MRI and used to generate synthetic personalized ground truth flow fields. Simulation results were embedded into the corresponding patient-specific 4D flow MRI effectively resulting in personalized synthetic datasets with known aortic ground truth and realistic background. The reconstruction of multiple undersampled datasets showed two distinct optimal regularization ranges for the quantification of flow velocities and turbulence. |
| 0930 | 14:18
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2.5D Flow MRI: 2D phase-contrast of the tricuspid valvular flow with automated valve-tracking |
| Jerome Lamy1, Jie Xiang1, Felicia Seemann2, Ricardo A Gonzales3, Steffen Huber1, Jeremy Steele4, Einar Heiberg5, and Dana C Peters1 | ||
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2National Institutes of Health, Bethesda, MD, United States, 3Oxford University, Oxford, United Kingdom, 4Internal Medicine, Yale University, New Haven, CT, United States, 5Lund University, Lund, Sweden |
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Keywords: Flow, Data Acquisition Tricuspid regurgitant velocity is a crucial biomarker in identifying pressure overload in the right heart, associated with diastolic dysfunction and pulmonary hypertension. 2D phase-contrast cannot quantify this flow, and echocardiography is used clinically. We developed a phase-contrast method which utilizes deep-learning algorithms to track the valvular slice in a cardiac phase-dependent manner, which we call 2.5D flow. We studied its performance in nine healthy subjects and patients with tricuspid regurgitation. RV stroke volumes correlated better to forward flow volumes by 2.5D flow vs. static 2D phase-contrast (ICC=0.88 vs. 0.62). 2.5D flow characterized regurgitation in a patient. |
| 0931 | 14:26
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Deep learning based segmentation of aortic cross sections (2D+t) in multi-vendor 4D PCMRI |
| Chiara Manini1, Markus Hüllebrand1,2, Marius Pullig3, Titus Kühne1,4, Sarah Nordmeyer5, Lina Jarmatz5, Andreas Harloff6, Jeanette Schulz-Menger4,5, and Anja Hennemuth1,2,4,7 | ||
1Institute of Computer-assisted Cardiovascular Medicine, Charité – Universitätsmedizin Berlin, Berlin, Germany, 2Fraunhofer MEVIS, Bremen, Germany, 3IBM Germany, Berlin, Germany, 4DZHK (German Center for Cardiovascular Research), Partner site Berlin, Germany, 5Charité – Universitätsmedizin Berlin, Berlin, Germany, 6University Hospital Freiburg, Freiburg, Germany, 7University Medical Center Hamburg-Eppendorf, Hamburg, Germany |
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Keywords: Flow, Velocity & Flow, Aorta segmentation Standardized 4D PCMRI postprocessing protocols could enable comparable bloodflow quantification. We propose an automatic segmentation of aortic cross section over time with a residual trained data from different imaging sequences, scanner types, pathologies and position of cross section planes. Dice score, Hausdorff metric as well as flow and velocity curves for the segmented areas show good performance both in the validation and test sets. |
| 0932
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14:34
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Repeatability of whole aorta 4D flow pulse wave velocity in healthy volunteers and comparison with Marfan Syndrome patients |
| Daan Bosshardt1,2, Mitzi M. van Andel2, Renske Merton1, Vivian de Waard3, Roland R.J. van Kimmenade4, Arthur J. Scholte5, Moniek G.P.J. Cox6, Aeilko H. Zwinderman7, Aart J. Nederveen1, Maarten Groenink2, Pim van Ooij1, and Eric M. Schrauben1 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Cardiology, Amsterdam UMC, Amsterdam, Netherlands, 3Medical Biochemistry, Amsterdam UMC, Amsterdam, Netherlands, 4Cardiology, Radboud University Medical Center, Nijmegen, Netherlands, 5Cardiology, Leiden University Medical Center, Leiden, Netherlands, 6Cardiology, University Medical Center Groningen, Groningen, Netherlands, 7Clinical Epidemiology, Amsterdam UMC, Amsterdam, Netherlands |
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Keywords: Flow, Velocity & Flow, Pulse Wave Velocity Pulse wave velocity (PWV) is a well-established measure to evaluate vessel wall stiffness and increases in the aorta of patients with Marfan Syndrome (MFS). With sufficient temporal resolution, 4D-flow MRI can be used for PWV calculations. In this study, we assess the repeatability of aortic PWV calculations in healthy volunteers using an open-source software tool and apply it in a MFS cohort. Our results show high repeatability of global aortic PWV, elevated PWV in MFS patients, and an association between elevated PWV and biomarkers for advanced disease. |
| 0933 | 14:42
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End-to-end Automation of Quantitative Processing for 4D Flow MRI in the Aorta: Demonstration and Evaluation in 271 Subjects |
| Ethan M I Johnson1, Haben Berhane1, Elizabeth Weiss1, Aparna Sodhi2, Kelly Jarvis1, Michael Scott1, Joshua Robinson2, Cynthia K Rigsby2, and Michael Markl1 | ||
1Northwestern University, Chicago, IL, United States, 2Ann & Robert H. Lurie Children's Hospital, Chicago, IL, United States |
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Keywords: Data Processing, Velocity & Flow, 4D Flow MRI, Quantitative Hemodynamics A generalized data-processing pipeline tool for performing completely automated hemodynamic assessment from raw 4D flow MR images is presented. The tool is evaluated for performance in a group of 271 subjects with mixed distribution of healthy, valve disease, and connective-tissue disorder status. A high success rate of 94% is achieved for fully-automated quantification of regional aortic peak velocities and global aortic pulse wave velocity. |
| 0934 | 14:50
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Minimizing Background Phase in PC-MRI with the Gradient Impulse Response Function (GIRF) and Gradient Optimized (GrOpt) Velocity Encoding |
| Michael Loecher1,2 and Daniel B Ennis1,2 | ||
1Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States |
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Keywords: Flow, Velocity & Flow Background phase errors in PC-MRI flow measurements are caused by eddy currents and mechanical vibrations that produce unwanted magnetic fields, thereby reducing velocity measurement accuracy. In this work, we demonstrate that a GIRF measurement can be used to predict the PC-MRI background phase, then used to design gradient optimized (GrOpt) velocity encoding waveforms that minimize these errors. The method is tested in static phantoms and in vivo, where 4.8x to 6.4x reductions in background velocity are seen. Phantom results showed a reduction from 0.74±0.22 cm/s to 0.15±0.12 cm/s, and in vivo results showed reductions from 0.93±0.10 cm/s to 0.13±0.08 cm/s. |
| 0935 | 14:58
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Phase-Contrast MRI with Hybrid One- and Two-sided Simultaneous Three Directional Flow-Encoding and Velocity SPectrum SepAration (HOTSPA+) |
| Wenjian Liu1, Junpu Hu2, Jiayu Zhu2, Jian Xu3, Zijian Zhou1, Haikun Qi1,4, and Peng Hu1,4 | ||
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2United Imaging Healthcare, Shanghai, China, 3UIH America, Inc., Houston, TX, United States, 4Shanghai Clinical Research and Trial Center, ShanghaiTech University, Shanghai, China |
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Keywords: Flow, Velocity & Flow Phase contrast MRI (PC MRI) has been widely used to quantify blood flow and velocity. Four-dimensional (4D) flow PC MRI needs to acquire the FC data and three-directional (3D) FE data interleaved within each cardiac k-space segment. In this work, we propose a more efficient flow encoding strategy for PC MRI using a temporal modulation technique and we showed the preliminary feasibility of quadrupling the temporal resolution or reducing the scan time by 70% compared with conventional 4D flow by redesigning and adjusting the temporal modulation strategy for under-sampled M1 space. |
| 0936 | 15:06
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Phase-Unwrapping based on Graph-Cuts for Low-venc Phase-Contrast Cine MRI |
| Johan Berglund1 | ||
1Dept. of Surgical Sciences, Uppsala University, Uppsala, Sweden |
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Keywords: Flow, Velocity & Flow The use of low velocity encoding (venc) improves the velocity-to-noise ratio in phase-contrast MRI, but increases the risk of phase wrapping. A novel phase-unwrapping technique based on graph-cuts was evaluated in five cardiac patients with high-, medium-, and low-venc acquisitions. The proposed method reduced the stroke volume error compared to a LaPlacian based reference method. In retrospectively wrapped data, the proposed method demonstrated excellent unwrapping results in most cases, even for venc as low as 25 cm/s. The graph-cut based method appears promising for low-venc acquisitions combined with phase-unwrapping. |
| 0937 | 15:14
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Intracranial Arterial Flow Velocimetry in Quantitative Time-of-Flight MR Angiography using Deep Machine Learning |
| Ioannis Koktzoglou1,2 and Rong Huang1 | ||
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2Pritzker School of Medicine, The University of Chicago, Chicago, IL, United States |
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Keywords: Flow, Brain, MRA Quantitative time-of-flight (qTOF) magnetic resonance angiography (MRA) is a recently introduced technique that provides for simultaneous luminal and hemodynamic imaging of the intracranial arteries. We hypothesized that the application of a deep machine learning (DML) image analysis strategy to qTOF MRA data would improve agreement of intracranial arterial velocity measures with respect to phase contrast MRI. Compared to a more conventional image analysis procedure, we found that the application of DML image analysis to qTOF data improved agreement of component, total, and peak intracranial arterial flow velocity measures with respect to phase contrast MRI, and reduced calculation times by 35-fold. |
| 0938
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15:22
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Effects of Free-Breathing on Cerebral Veins: study by Real-Time Phase-Contrast MRI |
| Pan LIU1,2, Heimiri Monnier1, Kimi Piedad Owashi1, Serge Metanbou3, Cyrille Capel4, and Olivier Balédent1,2 | ||
1CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France, 2Medical Image Processing Department, Amiens Picardy University Hospital, Amiens, France, 3Radiology Department, Amiens Picardy University Hospital, Amiens, France, 4Neurosurgery Department, Amiens Picardy University Hospital, Amiens, France |
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Keywords: Head & Neck/ENT, Velocity & Flow, real time phase contrast, phase contrast, respiratory effects, cerebral veins Real-time phase-contrast sequences are increasingly used to study the effect of breathing on cerebral circulation, however, there is a lack of studies on the effect of free breathing (E-Fb) on cerebral veins. In this study, we quantified the intensity and phase shift of the E-Fb on cerebral veins in 19 healthy volunteers using a time-domain multiparameter analysis method. We analyzed the characteristics of the E-Fb on four parameters of four cerebral veins. We found that during expiration, the mean flow rate, amplitude, stroke volume, and cardiac period of internal jugulars veins and sinuses increased. |
| 0939 | Pitch: 13:30 Poster: 13:30 Screen 1
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MRI-based Direct PET Attenuation Correction Using Cross-modality Attention Network for Combined PET/MRI |
| Xiaofeng Yang1, Yang Lei1, Tonghe Wang2, Sagar Mandava3, Tian Liu4, Jonathon Nye1, and Hui Mao1 | ||
1Emory University, Atlanta, GA, United States, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3GE Healthcare, Atlanta, GA, United States, 4Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: PET/MR, Machine Learning/Artificial Intelligence This study aims to develop an efficient and clinically applicable deep-learning method using routine T1-weighted MRI and non-AC PET to directly synthesize high-quality attenuation-corrected PET without the need of an attenuation coefficient map for simultaneous PET/MRI. |
| 0940 | Pitch: 13:30 Poster: 13:30 Screen 2
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Joint Reconstruction of Image Repetitions in DWI using Cross-Instance Attention |
| Fasil Gadjimuradov1,2, Laura Pfaff1, Thomas Benkert2, Marcel Dominik Nickel2, and Andreas Maier1 | ||
1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction, Transformer, Multiple Instance Learning Despite its proven clinical value, Diffusion-weighted Imaging (DWI) suffers from several technical limitations associated with prolonged echo trains in single-shot sequences. Parallel Imaging with sufficiently high under-sampling enabled by Deep Learning-based reconstruction may mitigate these problems. Newly emerged architectures relying on transformers demonstrated high performance in this context. This work aims at developing a transformer-based reconstruction method tailored to DWI by utilizing the availability of multiple image instances for a given slice. Redundancies are exploited by jointly reconstructing images using attention mechanisms which are performed across the set of instances. Benefits over reconstructing images separately from each other are demonstrated. |
| 0941 | Pitch: 13:30 Poster: 13:30 Screen 3
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Diffusion generative prior-based highly accelerated MR T1ρ mapping |
| Kangping Wang1, Chentao Cao1, Zhuoxu Cui1, Yuanyuan Liu1, Hairong Zheng1, Dong Liang1, and Yanjie Zhu1 | ||
1Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Diffusion-based generative models have been applied to solve the inverse problem of MR reconstruction and show impressive results. However, the diffusion model requires many iterations to produce high-quality samples, prolonging the reconstruction time. It also may lead to stochastic differential equation (SDE) sequence divergence in MR reconstruction and degrades the reconstruction quality. We proposed a new SDE for diffusion-based MR reconstruction that focuses on the diffusion process in high-frequency of k-space to improve reconstruction robustness and reduce the iterations. We applied the proposed method in MR T1ρ mapping, showing that it can achieve a high acceleration of 14X. |
| 0942 | Pitch: 13:30 Poster: 13:30 Screen 4
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Deep learning-based non-rigid motion-corrected reconstruction for whole-heart multi-dimensional joint T1/T2 imaging |
| Lina Felsner1, Carlos Velasco1, Haikun Qi2, Karl P. Kunze1,3, Radhouene Neji1,3, René M. Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 3MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom |
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Keywords: Machine Learning/Artificial Intelligence, Motion Correction Myocardial T1 and T2 mapping play an important role in the assessment of cardiovascular disease. 3D whole-heart joint T1/T2 water/fat mapping approaches have been recently proposed, however they require long reconstruction times. Recently a Machine learning based reconstruction was proposed for joint motion correction and motion corrected image reconstruction of undersampled free-breathing single contrast 3D coronary MR angiography. Here, we extend this approach for non-rigid motion-corrected reconstructions for multi-contrast data for joint T1/T2 mapping. The proposed approach achieves good agreement with reference techniques and comparable image quality to state-of-the-art methods albeit in 1200 times shorter reconstruction times. |
| 0943 | Pitch: 13:30 Poster: 13:30 Screen 5
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Diffusion Tensor Estimation Using Model-Based Deep Learning |
| Jialong Li1, Qiqi Lu1, Yanqiu Feng1, and Xinyuan Zhang1 | ||
1Department of Biomedical Engneering, Southern Medical University, Guangzhou, China |
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Keywords: Machine Learning/Artificial Intelligence, Diffusion Tensor Imaging Diffusion tensor imaging (DTI) is widely used in clinical applications and neuroscience. Its practical utility is limited by the need for multiple scans. Here, we integrate deep learning and model-based optimization methods to estimate diffusion tensor using only one non-diffusion-weighted images and six diffusion-weighted images. The data fidelity term is the weighted linear least squares fitting (WLLS) and the regularization term is Regularization by Denoising (RED). The Alternating Direction Method of Multiplier (ADMM) is adopted to iteratively optimize the model. Experiment results demonstrate that the proposed model-based strategy has great potential to improve the accuracy of diffusion tensor estimation. |
| 0944 | Pitch: 13:30 Poster: 13:30 Screen 6
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Neurite orientation dispersion and density imaging-based texture features in differentiating glioblastoma from solitary brain metastasis |
| Guohua Zhao1, Mengyang He2, Yizhou Su3, Yusong Lin3, Eryuan Gao1, Jie Bai1, Xiaoyue Ma1, Huiting Zhang4, Xu Yan4, Guang Yang5, and Jingliang Cheng1 | ||
1The Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China, 3Collaborative Innovation Center for Internet Healthcare, Zhengzhou, China, 4MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 5Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Machine Learning/Artificial Intelligence, Tumor Preoperative differentiation between glioblastomas (GBM) and solitary brain metastases (SBM) would aid in appropriate treatment planning and follow-up. Neurite orientation dispersion and density imaging (NODDI) can identify diverse tissue components within tumors. Texture analysis can be used to extract and quantify these tissue inhomogeneities. In this study, we extracted texture features using NODDI and validated the NODDI metric map models and a combination model to discriminate between GBM and SBM. Finally, the combined NODDI model achieved the best discriminative power. Texture analysis based on NODDI has great potential for distinguishing between GBM and SBM. |
| 0945 | Pitch: 13:30 Poster: 13:30 Screen 7
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Prediction of MGMT Methylation Status of Gliomas Using Pre-operative MR Images: a Fully Automatic Convolutional Neural Networks Based Approach |
| Xiaohua Chen1, Zhiqiang Chen2, Zhuo Wang1, Shaoru Zhang1, Yunshu Zhou1, Shili Liu1, Ruodi Zhang1, Yuhui Xiong3, and Aijun Wang4 | ||
1Clinical medicine school of Ningxia Medical University, Yinchuan, China, 2Department of Radiology ,the First Hospital Affiliated to Hainan Medical College, Haikou, China, 3GE Healthcare MR Research, Beijing, China, 4Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Machine Learning/Artificial Intelligence, Brain This study aims to propose a fully automatic approach based on convolutional neural networks (CNNs) to predict the O6-Methylguanine-DNA-methyltransferase (MGMT) methylation status of gliomas using conventional pre-operative MR images. It was shown that the Markov Random Field-U-Net network can accurately segment the tumor region, and the improved 34-layer Resnet network can predict the MGMT methylation status effectively. This model has the potential to be a practical tool for the non-invasive characterization of gliomas to help the individualized treatment planning. |
| 0946 | Pitch: 13:30 Poster: 13:30 Screen 8
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Physics-Informed Deep Learning Approach to Quantifying Magnetic Resonance Spectroscopy Data with Simultaneous Uncertainty Estimation |
| Amirmohammad Shamaei1,2 and Rudy Rizzo3,4 | ||
1Institute of Scientific Instruments of the Czech Academy of Sciences Research institute in Brno, Brno, Czech Republic, 2Department of Biomedical Engineering, Brno University of Technology, Brno, Czech Republic, 3Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, Bern, Switzerland, 4Translational Imaging Center, sitem-insel, Bern, Switzerland |
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Keywords: Machine Learning/Artificial Intelligence, Spectroscopy, deep learning, machine learning, convolutional neural network, metabolite quantification, Bayesian neural network, variational autoencoder, epistemic uncertainty, aleatoric uncertainty While deep learning (DL)-based approaches have been employed to quantify MRS signals, the interpretability of deep-model results and assessing what a DL model knows is a crucial component of DL-based approaches. We present a physics-informed DL-based algorithm for MRS data quantification with simultaneous uncertainty estimation, which uses the advantages of linear combination model fitting and the capabilities of ensembles of variational autoencoders. We acknowledge the need for further investigation with in-vivo datasets and other approaches. Furthermore, a more thorough analysis that includes scores that take estimation variation and uncertainty for both the proposed DL technique and traditional model fitting is required. |
| 0947 | Pitch: 13:30 Poster: 13:30 Screen 9
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Deep-Learning Enhancement of 3D-MSI using Conventional Images as Training Targets |
| Kevin Koch1, Nikolai Mickevicius1, Robin Ausman1, and Andrew S Nencka1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction We present a feasibility study exploring the use deep learning (DL) methods to enhance the image quality of isotropic 3D-multi-spectral metal artifact suppressed images. Conventional high resolution 2D fast/turbo spin echo images are used as network training labels by masking regions corrupted by metal artifacts. A pilot set of 3 cases deploying the presented concept to T2-weighted imaging of the instrumented spine are analyzed. The quantitative results of this analysis demonstrate improved spinal cord contrast, image resolution, and general agreement with 2D-FSE images when the DL enhancement model is inferred on the complete 3D-MSI datasets. |
| 0948 | Pitch: 13:30 Poster: 13:30 Screen 10
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Optimizing the NEXI acquisition protocol for quantifying human gray matter microstructure on a clinical MRI scanner using Explainable AI |
| Quentin Uhl1, Tommaso Pavan1, Thorsten Feiweier2, Erick Jorge Canales-Rodríguez3, and Ileana Jelescu1 | ||
1Dept. of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Signal Processing Lab 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Keywords: Microstructure, Modelling, Acquisition Protocol We optimized the acquisition protocol for parameter estimation of the NEXI model, suited to characterize gray matter microstructure, using concepts from Explainable AI. The improvement over a “naïve” protocol was only marginal. The limit on NEXI parameter estimation precision and accuracy is largely driven by the model and the type of measurements available (linear diffusion encoding, in a combination of (b,t) pairs) and is likely already reached as can be estimated from CRLB. The silver lining is that a clinical acquisition protocol feasible on a 3T system with 80 mT/m gradients yields reasonable NEXI microstructure maps in the human brain. |
| 0949 | Pitch: 13:30 Poster: 13:30 Screen 11
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Impact of image resolution on brain stiffness estimation using neural network inversion |
| Jonathan Trevathan1, Jonathan Scott1, Joshua Trzasko1, Armando Manduca1, John Huston1, Richard Ehman1, and Matthew Murphy1 | ||
1Mayo Clinic, Rochester, MN, United States |
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Keywords: Data Acquisition, Data Acquisition, MRE,Elastrography To improve the clinical value of brain stiffness measurements, increased resolution is desired to accurately map the mechanical signatures of disease processes. However, MR elastography-based stiffness maps must be estimated by inverting the measured displacement fields. It is not well-established that increased acquisition resolution will directly translate to improved accuracy in the final mechanical property maps. In this simulation study, using two neural network inversions, we show 2-mm data outperforms 3-mm data for stiffness accuracy and precision across a range of signal-to-noise ratios. |
| 0950 | Pitch: 13:30 Poster: 13:30 Screen 12
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VarNet-based Simultaneous Multislice Reconstruction for Low Noise Amplification and Flexible Calibration |
| Lifeng Mei1, Celia.M. Dong2, Sixing Liu1, Shoujin Huang1, and Mengye Lyu1 | ||
1College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, China, 2University Research Facility in Behavioral and Systems Neuroscience, The Hong Kong Polytechnic University, Hong Kong, China |
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Keywords: Image Reconstruction, Parallel Imaging In this study, we combine the readout-concatenation framework with VarNet based deep learning method to achieve SMS reconstruction of low noise amplification. It can flexibly handle arbitrary slice aliasing patterns with in-plane acceleration. Moreover, the modified network architecture allows coil calibration using a prescan of different contrasts, which is preferred in many scenarios. |
| 0951 | Pitch: 13:30 Poster: 13:30 Screen 13
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Deep learning for quantitative evaluation of motion correction in dynamic contrast enhanced (DCE) MRI |
| Edengenet Mashilla Dejene1,2 and Christoph Kolbitsch1 | ||
1Physikalisch - Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Charité Universitätsmedizin Berlin, Berlin, Germany |
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Keywords: Liver, DSC & DCE Perfusion Respiratory motion can impair the accurate estimation of physiological parameters in DCE-MR of the liver. A Deep learning network is proposed to quantitatively investigate the impact of respiratory motion on the estimation of physiological parameter maps. The proposed network provides quantitative parameters for DCE-MR and uncertainty estimates for these parameters. Here we could show that the estimated epistemic uncertainty of k_trans is sensitive to motion. This could provide important information about how well motion correction worked and how reliable the obtained quantitative DCE parameters are. |
| 0952 | Pitch: 13:30 Poster: 13:30 Screen 14
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FOD-Net 2.0: End-to-end FOD enhancement for low angular diffusion acquisitions using deep learning |
| Xinyi Wang1,2, Zihao Tang1,2, Mariano Cabezas2, Arkiev D’Souza2, Fernando Calamante2, Dongnan Liu1,2, Michael Barnett2,3, Sicong Tu2, Weidong Cai1, and Chenyu Wang2,3 | ||
1School of Computer Science, University of Sydney, Sydney, Australia, 2Brain and Mind Centre, University of Sydney, Sydney, Australia, 3Sydney Neuroimaging Analysis Centre, University of Sydney, Sydney, Australia |
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Keywords: Brain Connectivity, Tractography & Fibre Modelling, Fiber Orientation Distribution Modern structural brain connectome pipelines and tractography techniques heavily rely on the quality of the diffusion weighted image acquisition (angular resolution) and the subsequent estimation of the fiber orientation distributions (FODs) for each voxel. Generating reliable connectomes from low angular single-shell acquisitions in clinical scenarios remains a challenging task. This work presents an end-to-end deep learning framework to enhance FOD estimates according to multi-shell acquisitions from low angular single-shell acquisitions to guarantee high quality tractography and connectomes within acceptable time and resources. |
| 0953 | Pitch: 13:30 Poster: 13:30 Screen 15
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A Machine-Learning Approach for Saturation-Prepared Turbo FLASH B1+ Maps Calibration |
| Michael Dubiner1, Jan Sedlacik1,2,3,4, Tom Wilkinson1,2,3, Pip Bridgen1,2,3, Franck Mauconduit5, Alexis Amadon5, Sharon Giles1,2,3, Radhouene Neji1,3,6, Joseph V. Hajnal1,2,3, Shaihan J. Malik1,2,3, and Raphael Tomi-Tricot1,2,3,6 | ||
1Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 3London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 4Great Ormond Street Hospital for Children, London, United Kingdom, 5Paris-Saclay University, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France, 6MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Keywords: RF Pulse Design & Fields, High-Field MRI A fast B1+ mapping sequence such as saturation-prepared turbo FLASH (satTFL) is desirable for online pulse design at ultra-high field, but it often results in inaccuracies. Previous work performed linear fitting of the B1+ magnitude obtained with the satTFL over that of the longer but more accurate Actual Flip angle Imaging (AFI) sequence to obtain calibration parameters that would correct the satTFL B1+ on the fly for brain imaging. In this work we introduce a new machine-learning-based method that uses additional features to create a more precise and less location-dependent accuracy. |
| 0954 | Pitch: 13:30 Poster: 13:30 Screen 16
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MRF-mixer: a self-supervised deep learning MRF framework |
| Yang Gao1,2, Tianyi Ding2, Martijn Cloos2, and Hongfu Sun2 | ||
1Central South University, Changsha, China, 2The University of Queensland, Brisbane, Australia |
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Keywords: Contrast Mechanisms, MR Fingerprinting, relaxometry reconstruction, B0 estimation, self-supervised deep learning Deep neural networks are increasingly employed in MRF reconstruction recently, as an alternative for conventional dictionary matching. However, most previous deep leanring MRF networks were trained based on the dictionary pairs (generated using theoretical bloch equation) or in vivo acquisitions paired with dictionary matching reconstructions (as training labels), whose reconstruction accuracy relies heavily on the dictionary construction and the number of sampling arms. In this work, we propose a self-supversied deep learning MRF method, namely MRF-Mixer, which can result in more accurate MRF reconstructions compared with dictionary matching. |
| 0955 | Pitch: 13:30 Poster: 13:30 Screen 17
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MR Spatiospectral Reconstruction using Plug&Play Denoiser with Self-Supervised Training |
| Ruiyang Zhao1,2, Yahang Li1,3, Zepeng Wang1,3, Aaron Anderson1,4, Paul Arnold1,4, Graham Huesmann1,4,5, and Fan Lam1,2,3 | ||
1Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 3Department of Bioengineering, University of illinois Urbana-Champaign, Urbana, IL, United States, 4Neuroscience Institute, Carle Foundation Hospital, Urbana, IL, United States, 5School of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL, United States |
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Keywords: Spectroscopy, Machine Learning/Artificial Intelligence We introduced a data-driven denoiser trained in a self-supervised fashion as a novel spatial-temporal constraint for MRSI reconstruction. Our proposed denoiser was trained using noisy data only via the Noise2void framework that trains an interpolation network exploiting the statistical differences between spatiotemporally correlated signals and uncorrelated noise. The trained denoiser was then integrated into an iterative MRSI reconstruction formalism as a Plug-and-Play prior. An additional physics-based subspace constraint was also included into the reconstruction. Simulation and in vivo results demonstrated impressive SNR-enhancing reconstruction ability of the proposed method, with improved performance over a state-of-the-art subspace method. |
| 0956
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Pitch: 13:30 Poster: 13:30 Screen 18
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Assessing Sex Differences in Abdominal Fat Depots of People with Obesity under Weight Loss using Automated Segmentation |
| Mingming Wu1, Arum Somasundaram1, Selina Rupp1, Jessie Han1, Stella Naebauer1, Daniela Junker1, Anna Reik2, Meike Wiechert2, Hans Hauner2,3, Christina Holzapfel2, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, School of Medicine, Technical University of Munich, Munich, Germany, 2Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany, 3Else Kroener-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany |
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Keywords: Fat, Metabolism, Obesity A deep-learning algorithm based on the nnU-Net and using water-fat images enabled robust automatic segmentation of abdominal organs including visceral and subcutaneous adipose tissue, liver, iliopsoas and erector spinae muscle groups. Each organ's volume and fat content were examined in a weight loss study comprising 127 subjects with BMI of 30-39.9kg/m2, who followed a low caloric diet (LCD). Dixon water-fat images were acquired before and after diet. Differences in fat distribution among abdominal organs and fat content was assessed among both sexes. Differences in the changes of organ volume and fat fraction as a response to the LCD were revealed. |
| 0957 | Pitch: 13:30 Poster: 13:30 Screen 19
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Variation in 8 years Cartilage Loss Trajectories Based on Baseline Pain and Deep Learning-Assessed ROAMES Morphological Phenotypes |
| Madeline Hess1, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1University of California San Francisco, San Francisco, CA, United States |
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Keywords: Osteoarthritis, Osteoarthritis We find that the presence or absence of ROAMES morphological phenotypes as predicted from MRI is a useful indicator of osteoarthiris progression over 8 years as measured by cartilage thinning. |
| 0958 | Pitch: 13:30 Poster: 13:30 Screen 20
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Deep learning reconstruction of radial T2 weighted data sets with data consistent unrolled neural networks |
| Brian Toner1, Simon Arberet2, Fei Han3, Mariappan Nadar2, Vibhas Deshpande4, Diego Martin5, Maria Altbach6, and Ali Bilgin7,8 | ||
1Applied Mathematics, The University of Arizona, Tucson, AZ, United States, 2Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, United States, 3Siemens Healthineers, Los Angeles, CA, United States, 4Siemens Healthineers, Austin, TX, United States, 5Radiology, Houston Methodist, Houston, TX, United States, 6Medical Imaging, The University of Arizona, Tucson, AZ, United States, 7Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States, 8Biomedical Engineering, The University of Arizona, Tucson, AZ, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Unrolled networks with data consistency layers have been shown to be effective in reconstructing MRI data. Radial turbo spin echo sequences enable acquisition of multi-contrast k-space data, which can be used to generate multi-contrast images at different echo times together with a co-registered T2 map. In this work, we will show that the cascading unrolled network architecture is effective in reconstructing images from radial turbo spin echo data. In order to do this, data consistency layers must be implemented to be able to combine data from multi-coil acquisitions and from multiple echo times. |
| 0976 | Pitch: 13:30 Poster: 0:00 Screen 38
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Quantifying features of human gray matter microstructure postmortem using Neurite Exchange Imaging (NEXI) at ultra-high field |
| Andreea Hertanu1, Quentin Uhl1, Tommaso Pavan1, Christophe M. Lamy2, and Ileana O. Jelescu1 | ||
1Dept. of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland, 2Division of Anatomy, Faculty of Medicine, University of Geneva, Geneva, Switzerland |
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Keywords: Microstructure, Modelling, Diffusion In this work, we characterized microstructure properties of cortical gray matter and hippocampus using diffusion MRI, on two samples of postmortem fixed healthy human brain. The weak-to-absent diffusivity time-dependence and marked kurtosis time-dependence supported the suitability of the Neurite Exchange Imaging (NEXI) model to probe postmortem human gray matter microstructure. NEXI parametric estimations revealed region-specific values, calling for further validation using histology and further clarifying the discrepancy between compartment diffusivities estimated here vs. the literature. This study offers an important window on human gray matter microstructure at a spatial resolution unachievable in vivo. |
| 0959 | Pitch: 13:30 Poster: 13:30 Screen 21
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Diffusion-weighted signals and intrinsic optical signal share a similar contrast mechanism |
| Nathan Hu Williamson1, Rea Ravin1,2, Teddy Xuke Cai1,3, and Peter Joel Basser1 | ||
1NICHD, NIH, Potomac, MD, United States, 2Celoptics, Rockville, MD, United States, 3Wellcome Centre for Integrative Neuroimaging, Oxford, Oxford, United Kingdom |
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Keywords: Diffusion/other diffusion imaging techniques, Neuroscience, Microstructure Diffusion-weighted imaging (DWI) and intrinsic optical signal (IOS) are both used to measure neural tissue structure and function. Here we demonstrate with simultaneous real-time low-field, high-gradient MR and optical microscopy that DW signals and IOS share a similar contrast mechanism, most likely the ratio between intracellular and extracellular volume. Signals monitor how cells are affected and respond to adverse conditions, providing novel insight into pathological mechanisms and links between structure and function. |
| 0960 | Pitch: 13:30 Poster: 13:30 Screen 22
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Diattenuation and retardance metrics from complete polarimetry differentiate microscale and macroscale anisotropy |
| Rhea Carlson1, Courtney Comrie1, Justina Bonaventura2, Kellys Morara1, Noelle Daigle2, Elizabeth Hutchinson1, and Travis W. Sawyer1,2 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Wyant College of Optical Sciences, University of Arizona, Tucson, AZ, United States |
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Keywords: Data Acquisition, Multimodal, Polarized Light Imaging, Optics, Ferret This study uses complete polarimetry to capture diattenuation and retardance in post-mortem ferret optic chiasm (OC) chosen for its well understood fiber structure. These methods are novel due to the limited analysis of diattenuation metrics on tissue. Our results suggest that retardance measurements are sensitive to microscale features rather than to macroscale geometry when compared to fractional anisotropy (FA) and propagator anisotropy (PA). In addition, we have shown fiber orientation distributions (FODs) created through direct optical measurement of the tissue on a 2D plane are comparable to diffusion FODs. |
| 0961 | Pitch: 13:30 Poster: 13:30 Screen 23
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Automatic segmentation of cortical cytoarchitectonic domains measured with high-resolution MAP-MRI |
| Kristofor Pas1, Kadharbatcha Saleem1, Peter J Basser1, and Alexandru V Avram1,2,3 | ||
1Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, 2Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States, 3Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, United States |
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Keywords: Microstructure, Gray Matter, MAP-MRI, cortical parcellation, cortical layers We investigate the feasibility of using advanced diffusion MRI, specifically MAP-MRI, to automatically segment microstructural domains based on subject-specific intrinsic cortical cytoarchitectonic features. Our preliminary results suggest that MAP-derived cytoarchitectonic domains delineate boundaries between cortical areas and layers in good agreement with histology. Segmentation methods that leverage the sensitivity of high-resolution MAP parameters to cortical cytoarchitecture have the potential to augment and refine current techniques for automatic cortical parcellation that rely on atlas registration. |
| 0962 | Pitch: 13:30 Poster: 13:30 Screen 24
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Tackling the gyral bias and bottleneck problems with hybrid diffusion-microscopy tractography in the BigMac dataset |
| Silei Zhu1, Istvan N. Huszar1, Nicole Eichert1, Michiel Cottaar1, Greg Daubney2, Alexandre Khrapitchev3, Rogier B. Mars1,4, Jeroen Mollink1, Connor Scott5, Adele Smart1,5, Jerome Sallet2, Saad Jbabdi1, Karla Miller*1, and Amy Howard*1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, University of Oxford, Oxford, United Kingdom, 3Department of Oncology, University of Oxford, Oxford, United Kingdom, 4Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands, 5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Keywords: Tractography & Fibre Modelling, Multimodal, diffusion MRI, microscopy We present data fusion combining precisely co-registered dMRI and microscopy to reconstruct 3D fibre orientation with micron-scale spatial resolution. We then perform hybrid dMRI-microscopy tractography to investigate two known challenges in tractography: the gyral bias and bottleneck problems. Our results using hybrid tractography suggest that the gyral bias can be overcome by increased spatial resolution, and that microstructure-informed fibre orientations can overcome the bottleneck problem, irrespective of spatial resolution. These observations can be used to inform tractography analyses in vivo. This approach builds on the complementary strengths of microscopy (high spatial resolution) and dMRI (3D whole-brain coverage). |
| 0963 | Pitch: 13:30 Poster: 13:30 Screen 25
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A multi-compartment model for pathological connectomes |
| Sara Bosticardo1,2, Matteo Battocchio1,3, Simona Schiavi4, Cristina Granziera2,5,6, and Alessandro Daducci1 | ||
1Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy, 2Translational Imaging in Neurology (ThINK), Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Sherbrooke Connectivity Imaging Laboratory (SCIL), Département d’Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada, 4Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy, 5Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University of Basel, Basel, Switzerland, 6Department of Neurology, MS Center, University Hospital Basel, Basel, Switzerland |
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Keywords: Diffusion/other diffusion imaging techniques, Brain Connectivity The white matter is the complex system of neuronal fibers in the brain. Any disruption to this circuitry may lead to a wide range of neurological diseases and, thus, it is fundamental to be able of detecting pathological conditions at early stages. State-of-the-art methods for studying brain connectivity assume constant properties along the fibers, but this assumption is not valid in pathological conditions that locally affect the tissue, e.g. multiple sclerosis. Here, we present a model for “multi-compartment connectomes” to explicitly consider the presence of focal lesions during the estimation of connectivity and show its effectiveness using realistic numerical simulations. |
| 0964 | Pitch: 13:30 Poster: 13:30 Screen 26
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Characterization of normal appearing white matter in Multiple Sclerosis with diffusion MRI using signal representations and model parameters |
| Ying Liao1, Santiago Coelho1, Jenny Chen1, Dmitry S. Novikov1, and Els Fieremans1 | ||
1Radiology, NYU School of Medicine, NEW YORK, NY, United States |
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Keywords: Diffusion/other diffusion imaging techniques, Diffusion/other diffusion imaging techniques Multiple sclerosis (MS) is a neurodegenerative and inflammatory disease characterized by focal lesions and damages to normal appearing white matter (NAWM). Diffusion MRI (dMRI) is known for its sensitivity to the microstructural changes in white matter. In this work, we study the sensitivity of dMRI metrics to MS pathology in NAWM by distinguishing MS patients from healthy controls. We found that beyond-spherical-mean rotational invariants of high-b shells contribute mostly to the classification, indicating nontrivial information content of high-b diffusion signal beyond DTI. |
| 0965 | Pitch: 13:30 Poster: 13:30 Screen 27
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Age-related regional patterns in cerebral microstructure revealed using mean apparent propagator (MAP) MRI |
| Mustapha Bouhrara1, Alexandru V Avram2, Matthew Kiely1, Aparna Trivedi1, and Dan Benjamini1 | ||
1National Institute on Aging, Baltimore, MD, United States, 2National Institute of Child Health and Human Development, Bethesda, MD, United States |
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Keywords: Diffusion/other diffusion imaging techniques, Aging The relationship between brain microstructure and aging has been the subject of intense study. We used the mean apparent propagator (MAP) MRI framework, which is suitable to characterize diffusion in complex microstructure, to investigate age-related differences in a cohort of cognitively unimpaired participants, spanning a wide age range. In white matter, we established an opposing pattern of higher non-Gaussianity (NG) alongside lower propagator anisotropy (PA) among older adults. In gray matter, these two indices were consistent with one another, and exhibited regional pattern heterogeneity compared to other microstructural parameters. These results suggest that MAP-MRI provides otherwise inaccessible regional microstructural information. |
| 0966 | Pitch: 13:30 Poster: 13:30 Screen 28
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Permeability mapping in stroke via diffusion Standard Model with Exchange and S/V measurements from high-frequency OGSE |
| Noam Shemesh1, Rita Alves2, Jonas Olesen3,4, Andrada Ianus1, and Sune Nørhøj Jespersen3,4 | ||
1Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal, 2Champalimaud Foundation, Lisbon, Portugal, 3Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 4Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark |
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Keywords: Contrast Mechanisms, Microstructure Membrane permeability plays an important role in numerous physiological processes ranging from cell volume regulation to neural activity. Until now, diffusion MRI measurements mainly provided information on exchange rates; however, to map permeability, information on the surface-to-volume (S/V) ratio is needed. Here, we apply ultrahigh frequency OGSE to infer on S/V from the associated power law dependence (1/ω1/2,) and the Standard Model with Exchange (SMEX) model for extracting the neurite -> extracellular space exchange rates in stroked rat brains. Combined, we present quantitative measurements of permeability which show plausible values and striking contrast in stroke. |
| 0967 | Pitch: 13:30 Poster: 13:30 Screen 29
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Profiling specific cell populations within the inflammatory tumor microenvironment by oscillating-gradient diffusion-weighted MRI |
| Emily Hoffmann1, Mirjam Gerwing1, Stephan Niland2, Rolf Niehoff1, Max Masthoff1, Enrica Wilken1, Philipp Berger3, Thomas Vogl3, Johannes A. Eble2, Bastian Maus1, Anne Helfen1, Moritz Wildgruber1,4, and Cornelius Faber1 | ||
1Clinic of Radiology, University of Münster, Münster, Germany, 2Institute of Physiological Chemistry and Pathobiochemistry, University of Münster, Münster, Germany, 3Institute of Immunology, University of Münster, Münster, Germany, 4Department of Radiology, LMU Munich, Munich, Germany |
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Keywords: Cancer, Tumor, T-cells, macrophages, immunotherapy Immune cells are major players of the tumor microenvironment (TME), having profound effects on tumor development and metastatic progression. We present oscillating-gradient diffusion-weighted MRI (OGSE-DWI) as non-invasive imaging approach to monitor the intratumoral immune cell infiltrate, relying on size differences between cancer cells, T-cells and macrophages. By applying the Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED) model to sine-shaped OGSE-DWI, changes within the TME and its specific immune cell composition were monitored and compared in syngeneic murine breast cancer models with different degrees of malignancy during tumor progression, clodronate liposome-mediated depletion of macrophages and immune checkpoint inhibitor treatment. |
| 0968 | Pitch: 13:30 Poster: 13:30 Screen 30
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Assessing Muscle Invasiveness In Bladder Cancer Based On Multiple Diffusion Models |
| Junting Guo1, Lu Zhang1, Shuo Li1, Ding Li1, Zhichang Fan1, Meining Chen2, Guoqiang Yang3, Yan Li3, Bin Wang3, Le Wang3, and Xiaochun Wang3 | ||
1College of Medical Imaging, Shanxi Medical University, Taiyuan, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 3Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, China |
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Keywords: Diffusion/other diffusion imaging techniques, Cancer Accurate assessment of the presence or absence of muscle invasiveness in bladder cancer is essential for selecting the best treatment options. In this study, we used 6 diffusion models including mono-exponential model (Mono), continuous-time random-walk (CTRW), incoherent motion within the voxel (IVIM), stretched exponential model (SEM), diffusion kurtosis imaging (DKI) and fractional-order calculus (FROC) model to assess muscle invasiveness in bladder cancer. The study showed that Mono,CTRW,IVIM,SEM and DKI could provide biomarkers for muscle invasion and distinguish non-muscle-invasive and muscle-invasive bladder cancer, and the combination of CTRW and FROC could further improve the classification accuracy. |
| 0969 | Pitch: 13:30 Poster: 13:30 Screen 31
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Cluster analysis of VERDICT MRI for identification of tumor subregions with distinct histological features |
| Lukas Lundholm1, Mikael Montelius1, Oscar Jalnefjord1,2, Eva Forssell-Aronsson1,2, and Maria Ljungberg1,2 | ||
1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden |
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Keywords: Diffusion/other diffusion imaging techniques, Cancer, VERDICT, preclinical, histology Characterization of tumor tissue may aid in grading and assessment of cancer treatment. Time-dependent diffusion MRI can provide non-invasive estimates of parameters relating to tissue microstructure in vivo. In this study, a cluster analysis was performed to group parameters estimated by the time-dependent diffusion MRI model VERDICT. Parameter cluster maps were compared with maps derived from classification of histological images. The results showed good agreement between VERDICT cluster maps and histology maps, indicating that the method shows potential in identifying tumor subregions of distinct morphological features. |
| 0970 | Pitch: 13:30 Poster: 13:30 Screen 32
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Selective filters of translational molecular diffusion dynamics in white matter microstructures with preclinical and clinical MRI |
| Ezequiel L. Saidman1, Analia Zwick 1,2,3, Stefano Tambalo 4, Thorsten Feiweier5, Jorge Jovicich4, and Gonzalo A. Alvarez1,2,3 | ||
1Instituto Balseiro, CNEA, Universidad Nacional de Cuyo, S. C. de Bariloche, Argentina, 2Centro Atómico Bariloche, CONICET, CNEA, S. C. de Bariloche, Argentina, 3Instituto de Nanociencia y Nanotecnologia, CNEA, CONICET, S. C. de Bariloche, Argentina, 4Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy, 5Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Diffusion/other diffusion imaging techniques, Microstructure Magnetic resonance imaging is one of the most widely used methods for non-invasive medical imaging. Gradient modulation sequences can selectively extract quantitative information at micrometer and sub-micrometer scales that might be relevant for clinical applications. We approach this topic using white matter phantoms by observing the contrast generated by Non-uniform Oscillating Gradient Spin Echo (NOGSE) sequences to selectively filter the signal of molecules confined in compartments of specific sizes. The NOGSE contrast is determined by subtracting different OGSE acquisitions on a clinical scanner. Our results demonstrate a microscopic tortuosity mechanism that provides microstructural information at short time scales. |
| 0971 | Pitch: 13:30 Poster: 13:30 Screen 33
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Rotation-invariant microstructure mapping revisited |
| Daan Christiaens1,2, J-Donald Tournier3, Stefan Sunaert2,4, and Frederik Maes1,2 | ||
1Dept. of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium, 2Medical Imaging Research Center, UZ Leuven, Leuven, Belgium, 3Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium |
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Keywords: Microstructure, Diffusion/other diffusion imaging techniques Microstructure imaging with diffusion MRI relies on non-linear fitting of a biophysical tissue model to the data, often at low signal-to-noise ratio. In this work, we derive a new rotation-invariant feature set for microstructure mapping based on a rank-1 decomposition of the multi-shell diffusion MRI signal in spherical harmonics. Simulations show that using this feature set avoids non-central-χ bias that is present at low SNR in parameter estimation based on conventional rotation-invariants. Results in human brain imaging data acquired with free waveform diffusion encoding show robust parameter estimates across white matter. |
| 0972 | Pitch: 13:30 Poster: 13:30 Screen 34
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Zero-shell diffusion MRI: Focus on microstructure by decoupling fiber orientations |
| Santiago Coelho1, Els Fieremans1, and Dmitry S. Novikov1 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States |
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Keywords: Diffusion/other diffusion imaging techniques, Data Acquisition In brain dMRI, microstructure parameters of fiber fascicles, such as compartment fractions, exchange, diffusivities, relaxation rates, and structural disorder, are highly sought after. They can be accessed by sampling multiple diffusion weightings, b-tensor shapes, diffusion and/or echo times. Yet most scan time is spent oversampling the fiber orientation distribution function – because factoring it out nominally requires rotational invariants like the spherical mean. We show how to measure multiple inequivalent combinations of $$$(b,\,\Delta)$$$, while spending single gradient directions per unique combination. We recover signal’s rotational invariants for each one and use them for biophysical modeling of white and gray matter. |
| 0973 | Pitch: 13:30 Poster: 13:30 Screen 35
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Axon diameter mapping is confounded by glial cells |
| Jelle Veraart1, Erika P. Raven1, Derek K. Jones2, and Marco Palombo2,3 | ||
1Center for Biomedical Imaging, Dept. Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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Keywords: Diffusion/other diffusion imaging techniques, Microstructure, Modeling, Axon Diameter Mapping The specificity of strongly diffusion-weighted MRI to intra-axonal signal contributions to neuronal processes has always been presumed. Here we demonstrate empirically that strongly diffusion-weighted MRI data is also sensitive to a distinct isotropic compartment that may bias axon diameter estimates. We hypothesize that such a compartment represents isotropically-distributed glial processes. We use in vivo human data and Monte Carlo simulations to support our hypothesis and evaluate a novel strategy to suppress signal arising from glial cell bodies and processes to promote more accurate axon diameter mapping. |
| 0974 | Pitch: 13:30 Poster: 13:30 Screen 36
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Diffusion simulations in human myelinated axons from 3d EM evaluate the impact of realistic axon geometry on diameter mapping |
| Hong-Hsi Lee1,2, Qiyuan Tian1,2, Ricardo Coronado-Leija3, Els Fieremans3, Dmitry S Novikov3, and Susie Y Huang1,2 | ||
1Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States |
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Keywords: Validation, Microstructure To disentangle the effect of complex features on axon diameter mapping, we segmented myelinated axons in a human brain electron microscopy data and use these to create artificial cylinders with undulations and caliber variations that can be tuned to varying degrees. Diffusion simulations in segmented real axons and artificial axons showed that undulations and beadings lead to overestimation and underestimation of the axon diameter, respectively. |
| 0975 | Pitch: 0:00 Poster: 13:30 Screen 37
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Incorporating susceptibility effects into the Standard Model of diffusion in white matter |
| Anders Dyhr Sandgaard1, Valerij G. Kiselev2, Noam Shemesh3, and Sune Nørhøj Jespersen1,4 | ||
1Center for functionally integrative neuroscience, department of clinical medicine, Aarhus University, Aarhus, Denmark, 2Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 3Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 4Department of Phsysics and Astronomy, Aarhus University, Aarhus, Denmark |
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Keywords: Microstructure, Diffusion/other diffusion imaging techniques Estimating parameters of the Standard Model (SM) of white matter (WM) is an ill-posed problem (WM). To overcome this degeneracy, models extensions have been proposed adding echo-time dependent information. Here we investigate the feasibility of incorporating our analytical solution for the frequency shift from white matter axons accounting for magneto-structural anisotropy along with an empirical orientation dependence of relaxation into SM parameter estimation. This may also help achieving rotation-free mapping of susceptibility-related parameters using diffusion MRI instead of the impractical sample rotation in the scanner. |
| 0977 | Pitch: 0:00 Poster: 0:00 Screen 39
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Motion-compensated diffusion imaging with phase-contrast (MC-DIP) for the quantification of regional cerebral blood flow |
| Naoki Ohno1, Tosiaki Miyati1, Genki Nambu1, Daichi Tanaka1, Yuki Makino1, Noam Alperin2, Yu Ueda3, Marc Van Cauteren3, Toshifumi Gabata1, and Satoshi Kobayashi1 | ||
1Kanazawa University, Kanazawa, Japan, 2University of Miami, Miami, FL, United States, 3Philips Japan, Tokyo, Japan |
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Keywords: Diffusion/other diffusion imaging techniques, Diffusion/other diffusion imaging techniques Diffusion imaging with phase-contrast (DIP) can quantitatively evaluate regional cerebral blood flow (rCBF), in which total CBF (tCBF) from phase-contrast magnetic resonance imaging (PC-MRI) converts the brain’s perfusion-related diffusion parameters into rCBF values. However, it is sensitive to bulk motion (i.e., brain pulsation), potentially causing an overestimation of DIP-derived rCBF values. To overcome this issue, we propose a motion-compensated DIP (MC-DIP) that incorporates motion-compensated diffusion gradients. DIP with second-order motion-compensated diffusion gradients (2nd-MC-DIP) improved the fitting accuracy of the biexponential analysis and showed the ability to quantitatively evaluate rCBF in gray and white matter. |
| 0978 | Pitch: 0:00 Poster: 0:00 Screen 40
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A piecewise-polynomial basis for generalized diffusion encoding gradient waveforms |
| Emmanuel Caruyer1 | ||
1IRISA UMR 6074, Empenn ERL 1228, Univ Rennes, CNRS, Inria, Inserm, Rennes, France |
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Keywords: Diffusion/other diffusion imaging techniques, Data Acquisition Diffusion-encoding gradient waveforms are a key parameter of experimental design in diffusion magnetic resonance imaging. Their optimization is important for e.g. maximizing the efficiency in B-tensor encoding, or improving the sensitivity and specificity to microstructure parameters of biophysical models. The main challenge in optimizing gradient waveforms and trajectories is the large dimension of the search space and the constraints associated with physical and physiological limitations. Here we propose an original piecewise polynomial representation, which natively enforces the linear constraints that arise from refocusing and regularity. We illustrate the basis on B-tensor encoding and Monte-Carlo simulation of the diffusion signal. |
15:45
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Clinical CMR: What You See & What You Get | |
| Imran Rashid | ||
| University Hospitals Cleveland Medical Center | ||
16:05
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CMR Exam: Make It Right for Patients | |
| Sarah Green | ||
| Pacific Radiology | ||
16:25
|
CMR Pulses: Be Prepared for the Changes | |
| Jessica Bastiaansen | ||
| University of Bern | ||
16:45
|
CMR Image Quality: No Free Lunch | |
| Michael Salerno | ||
| Stanford University | ||
17:05
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Deep CMR: Getting It to Work | |
| Chen Qin | ||
| Imperial College London | ||
15:45
|
Quantitative High-Gradient Diffusion MRI | |
| Chantal M.W. Tax1,2 | ||
1CUBRIC, Cardiff University, United Kingdom, 2Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Contrast mechanisms: Diffusion Diffusion MRI sensitises the signal to the random motion of water molecules by applying diffusion encoding gradients. This talk will give a brief introduction on diffusion MRI and various quantitative measures that can be derived from diffusion MRI signal representations and biophysical models. Stronger gradients can yield shorter echo time, higher signal-to-noise ratio, and shorter diffusion times for a given b-value, and the benefits will be highlighted. Finally, the applications where strong gradients have shown benefits in fundamental and clinical research are explored. |
16:15
|
Multiparametric Mapping Using MR Fingerprinting | |
| Yong Chen1 | ||
1Department of Radiology, Case Western Reserve University, OH, United States |
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Keywords: Image acquisition: MR Fingerprinting, Image acquisition: Multiparametric, Neuro: Brain Magnetic Resonance Fingerprinting (MRF) is a novel imaging technique for rapid and simultaneous quantification of multiple tissue properties. This presentation will cover the basic concepts of Magnetic Resonance Fingerprinting from data acquisition to post-processing. Recent development in advanced reconstruction methods and its integration with machine learning for quantitative neuroimaging will be introduced. Finally, its application in clinical studies will be reviewed. |
16:45
|
Quantitative Echo Planar Time-Resolved Imaging | |
| Fuyixue Wang1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Charlestown, MA, United States |
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Keywords: Image acquisition: Sequences, Image acquisition: Multiparametric, Contrast mechanisms: Diffusion EPTI is a novel distortion-free imaging technique that addresses the limitations of EPI while providing efficient multi-contrast imaging. EPTI recognizes the spatiotemporal data correlation during the image encoding process, and exploits it to replace conventional image formation and efficiently resolve the full spatiotemporal space. The high efficiency, improved image quality, and rich information of EPTI provide exciting opportunities for quantitative imaging. This talk will provide a comprehensive review of EPTI, its related technologies, and their applications in quantitative imaging. It will present EPTI’s concept, acquisition and reconstruction, followed by applications in multi-parametric mapping, diffusion MRI, myelin water, and functional imaging. |
17:15
|
Deep Learning-Powered Parameter Mapping | |
| Jongho Lee1 | ||
1Seoul National University, Korea, Republic of |
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Keywords: Image acquisition: Multiparametric Deep Learning-Powered MRI Parameter Mapping uses deep neural networks to estimate T1 relaxation, T2 relaxation, diffusion, and susceptibility from MRI data. The network architecture typically includes perceptrons, 2D and 3D convolutional neural networks trained on large datasets. Generalization is a significant challenge, but data augmentation and network architecture modifications are being explored. Despite this, deep learning-powered MRI parameter mapping has the potential to revolutionize clinical MRI by enabling fast and accurate estimation of tissue parameters for diagnosis and treatment planning. |
15:45
|
Introduction to a New ISMRM Committee on Standardized Measures & Benchmarks | |
| Scott Reeder1 | ||
1University of Wisconsin, Madison, WI, United States |
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Keywords: Transferable skills: Reproducible research In my role as ISMRM President, I have formed a new ad-hoc committee on Standardized Measures and Benchmarks, led by Jim Pipe, PhD. Dr. Pipe has since put together a blue-ribbon panel of experts to define the scope, purview, and governance structure of a new permanent ISMRM committee that will enable members and study groups to develop technical performance metrics and standardized procedures that will serve as the basis for improved communication to enhance scientific process and translation. |
15:50
|
The Need for Measuring Gradient Performance from a User's Perspective | |
| Scott Reeder1 | ||
1University of Wisconsin, Madison, WI, United States |
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Keywords: Transferable skills: Reproducible research In my role as ISMRM President, I have formed a new ad-hoc committee on Standardized Measures and Benchmarks, led by Jim Pipe, PhD. Dr. Pipe has since put together a blue-ribbon panel of experts to define the scope, purview, and governance structure of a new permanent ISMRM committee that will enable members and study groups to develop technical performance metrics and standardized procedures that will serve as the basis for improved communication to enhance scientific process and translation. |
15:55
|
Opportunities, Challenges & Trends in Measuring Gradient Performance | |
| Brian Rutt1 | ||
1Stanford University, Stanford, CA, United States |
16:10
|
Panel Discussion |
16:15
|
The Need for Assessing the Quality & Reliability of AI-Based Image Reconstruction from a User's Perspective | |
| Marion Smits1 | ||
1Erasmus MC, Rotterdam, Netherlands |
16:20
|
Opportunities, Challenges & Trends in Characterizing the Quality & Reliability of AI-Based Image Reconstruction | |
| Mariya Doneva1 | ||
1Philips Research Hamburg, Hamburg, Germany |
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Keywords: Image acquisition: Machine learning This lecture will review some of the techniques to minimize the risk of unwanted artifacts in AI-based image reconstruction that can be embedded in the model development process. In addition, opportunities for automated testing of model robustness and image quality validation will be discussed. |
16:35
|
Panel Discussion |
16:40
|
The Landscape of Standards & Measures in MRI | |
| Kathryn Keenan1 | ||
1NIST, Boulder, CO, United States |
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Keywords: Transferable skills: Metrology of MRI Several groups and organizations are working on standards and measures for MRI. This talk will cover the different types of groups and how they interact both within and across types (e.g., national metrology institutes, consensus standards groups, and societies and their expert committees). Additionally, while there are many efforts, certain needs are currently unmet. ISMRM has identified there is a need for measureable benchmarks that aren’t specific clinical diagnostics under the purview of QIBA, nor are these covered by the regulatory process. Enter the ISMRM Committee for Standardized Measures and Benchmarks! |
17:00
|
Creating Reproducible Scientific Measurement & Calibration Devices to Enable Quantitative MRI: A Phantom Manufacturer's Perspective | |
| Aaron Oliver-Taylor1 | ||
1Gold Standard Phantoms Limited, United Kingdom |
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Keywords: Transferable skills: Commercialisation, Transferable skills: Metrology of MRI This talk discusses the importance and application of MRI phantoms for clinical and scientific research from the perspective of a phantom manufacturer. Phantoms enable evaluation of MRI performance, accuracy, and reproducibility. These are used in the development of new techniques, harmonisation across different systems, and validation of measurements. Commercial phantoms have expectations for stability, reproducibility, and longevity, making their design and manufacture complex. There are emerging standards for MRI phantoms involving traceable measurements to national measurement laboratories. The future of this field lies in addressing challenges like system standardisation, accommodating new MRI technologies, and integrating phantoms into routine radiological workflows. |
17:40
|
Developing International Recommendations, Pipelines & Processes: An Imaging Network's Perspective | |
| Daniel C. Sullivan1 | ||
1Duke University Medical Center, Durham, United States |
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Keywords: Image acquisition: Quantification, Transferable skills: Metrology of MRI, Transferable skills: Reproducible research For Standards documents to be accepted and widely implemented, the following concepts need to be adopted. (1) There needs to be a clear rationale as the basis for each standards document. (2) The developing committees or groups need to define their operating procedures. (3) Open process is important for consensus to be accepted. (4) Definitions and metrology concepts must be standardized. (5) Gaps in published knowledge must be addressed, often by performing the necessary experiments or data collection activities. |
18:00
|
Panel Discussion |
| 0979 | 15:45
|
Explainable artificial intelligence for automatic detection of early nasopharyngeal carcinoma on MRI |
| Lun M Wong1, Qi-Yong H Ai1,2, Tiffany Y So1, Jacky WK Lam3,4, and Ann D King1 | ||
1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 2Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, 3Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 4State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, Hong Kong |
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Keywords: Machine Learning/Artificial Intelligence, Screening, XAI, explainability, deep learning In this study, we propose a simple method to improve the explainability of artificial intelligence, specifically convolutional neural networks (CNNs), for the automatic detection of early nasopharyngeal carcinoma (NPC) on magnetic resonance imaging (MRI). We show a long-short-term-memory (LSTM) unit can be introduced into a CNN to read 3-dimensional medical image series. A risk curve can be extracted from the LSTM to visualize the “thought process” of the network when it reads through the input MRI slice-by-slice. This modification improves the explainability of the network without reducing performance for the early NPC detections of the original CNN. |
| 0980 | 15:53
|
Deep Learning-Based Automatic Pipeline for 3D Needle Localization on Intra-Procedural 3D MRI |
| Wenqi Zhou1,2, Xinzhou Li1,2, Fatemeh Zabihollahy1, David S. Lu1, and Holden H. Wu1,2 | ||
1Department of Radiological Sciences, UCLA, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, MR-Guided Interventions Needle localization in 3D images during MRI-guided interventions is challenging due to the complex structure of biological tissue and the variability in the appearance of needle features in in-vivo MR images. Deep learning networks such as the Mask Regional Convolutional Neural Network (R-CNN) could address this challenge by providing accurate needle feature segmentation in intra-procedural MR images. This work developed an automatic coarse-to-fine pipeline that combines 2.5D and 2D Mask R-CNN to leverage inter-slice information and localize the needle tip and axis in in-vivo intra-procedural 3D MR images. |
| 0981 | 16:01
|
Intelligent Slice Placement for Oblique Coronal ACL plane prescription for Knee MRI using Deep Learning |
| Apoorva Agarwal1, Chitresh Bhushan2, Desmond T.B. Yeo2, Thomas Foo2, Dawei Gui3, Deepa Anand1, Maggie Fung4, Trevor Kolupar3, Tisha Abraham1, Sanjay NT1, Kameswari Padmanabhan1, Uday Patil1, and Dattesh Shanbhag1 | ||
1GE Healthcare, Bengaluru, India, 2GE Global Research, Niskayuna, NY, United States, 3GE Healthcare, Waukesha, WI, United States, 4GE Healthcare, New York City, NY, United States |
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Keywords: Machine Learning/Artificial Intelligence, MSK In clinical practice, oblique coronal and sagittal scans have been shown to be superior for visualization of ACL and assessment of ACL tears. In this work, we demonstrate a Deep Learning based method to obtain these complex scan planes (Coronal ACL and Coronal Blumensaat) directly from standard 2D tri-planar Localizers. Results on 487 test volumes show <0.6mm mean error for both planes, indicating suitability for clinical usage. |
| 0982 | 16:09
|
Physics-informed Deep Diffusion MRI Reconstruction: Break the Data Bottleneck in Artificial Intelligence |
| Chen Qian1, Yiting Sun1, Zi Wang1, Xinlin Zhang1, Qinrui Cai1, Taishan Kang2, Boyu Jiang3, Ran Tao3, Zhigang Wu4, Di Guo5, and Xiaobo Qu1 | ||
1Department of Electronic Science, Biomedical Intelligent Cloud R&D Center, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China, 2Department of Radiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China, 3United Imaging Healthcare, Shanghai, China, 4Philips, Beijing, China, 5School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China |
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Keywords: Machine Learning/Artificial Intelligence, Brain, Diffusion MR, Physics-informed Deep learning is widely employed in biomedical magnetic resonance image (MRI) reconstructions. However, accurate training data are unavailable in multi-shot interleaved echo planer imaging (Ms-iEPI) diffusion MRI (DWI) due to inter-shot motion. In this work, we propose a Physics-Informed Deep DWI reconstruction method (PIDD). For Ms-iEPI DWI data synthesis, a simplified physical motion model for motion-induced phase synthesis is proposed. Then, lots of synthetic phases are combined with a few real data to generate efficient training data. Extensive results show that, PIDD trained on synthetic data enables sub-second, ultra-fast, high-quality, and robust reconstruction with different b-values and undersampling patterns. |
| 0983 | 16:17
|
Ex-vivo microbleed detection in community-based older adults using confidence aware learning |
| Grant Nikseresht1, Arnold M. Evia2, David A. Bennett2, Julie A. Schneider2, Gady Agam1, and Konstantinos Arfanakis2,3 | ||
1Computer Science, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States, 3Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States |
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Keywords: Machine Learning/Artificial Intelligence, Aging, Ex-Viov Applications, Neuro (Microbleeds) Detection of cerebral microbleeds (CMBs) on ex-vivo gradient echo MR images is an important task in MRI-pathology studies in older adults. The goal of this study was to develop a confidence-aware ex-vivo CMB detection algorithm that outputs interpretable probabilities and ranking of CMB candidates on brain MRI scans of community-based older adults. The present study demonstrates that training an ex-vivo CMB detection model with confidence-aware deep learning, a technique for improving confidence estimation and ordinal ranking of examples in classification models, improves detection performance and prediction interpretability. |
| 0984 | 16:25
|
Model-Assisted Deep Learning-Based Reconstruction: Does the Model Help? |
| Yue Guan1, Yudu Li2,3, Ruihao Liu1,2, Ziyu Meng1, Yao Li1, Yiping P. Du1, and Zhi-Pei Liang2,4 | ||
1School of Biomedical Engineering, Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction Deep learning-based image reconstruction has two known practical issues: (a) sensitivity to data perturbations, and (b) poor generalization. An approach to addressing these issues is to use classical signal models to assist/constrain deep learning. This paper performs a systematic analysis of the role of signal models in model-assisted deep learning-based reconstruction. Our results show that signal models (e.g., subspace model or sparse model) can substantially reduce the sensitivity of deep learning-based reconstruction to data perturbations; they can also help improve generalization capability. |
| 0985 | 16:33
|
Pharmacokinetic Parameters’ Distribution Estimation with Normalizing Flow in Dynamic Contrast-Enhanced Magnetic Resonance Imaging |
| Ke Fang1, Zejun Wang2, Zhaowei Cheng1, Bao Wang3, Xinyu Jin1, Yingchao Liu4, and Ruiliang Bai5 | ||
1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, 2Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 3Department of Radiology, Qilu Hospital of Shandong University, Jinan, China, 4Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 5School of Medicine, Zhejiang University, Hangzhou, China |
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Keywords: Machine Learning/Artificial Intelligence, Data Analysis The pharmacokinetic (PK) parameters extracted from the DCE-MRI provide valuable information but suffer from many sources of variability. Thus, the efficient and fast estimation of the distributions of these ambiguous PK parameters caused by variabilities could significantly improve the robustness and repeatability of DCE-MRI. The estimation of the PK parameters’ distributions provides a way to quantify the PK parameters’ values and variabilities simultaneously. In this study, we demonstrated the feasibility of the normalizing flow-based distribution estimation network (FPDEN) for PK parameters’ distribution estimation in DCE-MRI. |
| 0986 | 16:41
|
A novel deep multimodal contrastive network for early prediction of cognitive deficits using multimodal MRI and clinical data |
| Zhiyuan Li1,2, Hailong Li1, Nehal Parikh3, Jonathan Dillman1, Anca Ralescu2, and Lili He1 | ||
1Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States, 3The Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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Keywords: Machine Learning/Artificial Intelligence, Brain Connectivity, Contrastive Learning, Cognitive Deficits Deep learning has shown promising results in early predicting cognitive deficits in very preterm infants using multimodal brain MRI data, acquired soon after birth. Prior methods focus on the feature fusion of different modalities but ignore the latent high-order feature similarity information. In this study, we propose a novel deep multimodal contrastive network using T2-weighted structural MRI (sMRI), diffusion tensor imaging (DTI), resting-state functional MRI (rsfMRI), and clinical data to predict later cognitive deficits. Our proposed model significantly improved predictive power compared to other peer models for early diagnosis of cognitive deficits. |
| 0987 | 16:49
|
Refining synthetic training data improves image quality transfer for ultra-low-field structural brain MRI |
| Lisa Ronan1, Sean Deoni2, Muriel Bruchhage3, Godwin Ogbole4, Matteo Figini5, Ikeoluwa Lagunju4, Felice D'Arco6, Helen Cross6, Delmiro Fernandez-Reyes5, James Cole5, and Daniel Alexander5 | ||
1Computer Science, University College London, London, United Kingdom, 2Gates Foundation, Seattle, WA, United States, 3University of Stavanger, Stavanger, Norway, 4University of Ibadan, Ibadan, Nigeria, 5University College London, London, United Kingdom, 6Great Ormand Street Hospital for Children, London, United Kingdom |
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Keywords: Machine Learning/Artificial Intelligence, Low-Field MRI, super-resolution, Hyperfine Computer vision methods can be used for image quality transfer (IQT) to address the poor contrast, decreased resolution and increased noise observed in MR images acquired at ultra-low magnetic fields. Current methods have been shown to produce high-quality synthetic outputs for low-field (~0.5T) but not ultra-low-field (~0.05T) field images. Moreover, these methods do not adapt well to the presence of abnormal morphology (e.g. lesions). Here we introduce a new approach to ultra-low field IQT that improves on previous methods and is adaptive to the presence of synthetic lesions. |
| 0988 | 16:57
|
Constructing age-specific MRI brain templates based on a uniform healthy population across life span with transformer |
| Chenghao Zhang1, Mikhail Morgan1, Yanting Yang1, Ye Tian1, and Jia Guo1 | ||
1Columbia University, New York, NY, United States |
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Keywords: Machine Learning/Artificial Intelligence, Brain Image registration is currently employed to assist with diagnostic tasks such as neurodegenerative disease diagnosis. Aging also affects the brain, and our knowledge of age-related brain diseases is currently encumbered by age-induced bias; understanding the mechanisms of neurodegenerative diseases requires a deeper understanding of aging. Thus we have devised a pipeline for generating age-specific templates using a novel deep-learning algorithm detailed in a separate report. Our results show qualitative changes in brain morphology across age groups, and tissue segmentation was performed on each template to calculate volumetric changes in brain matter across time. |
| 0989
|
17:05
|
µGUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning |
| Maëliss Jallais1,2 and Marco Palombo1,2 | ||
1Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 2School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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Keywords: Signal Modeling, Microstructure, dMRI This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or MRI signal representation, with exemplar demonstration in diffusion-weighted MRI. Harnessing a new deep learning architecture for automatic signal feature selection combined with simulation-based inference and efficient sampling of the posterior distributions, µGUIDE bypasses the high computational and time cost of conventional Bayesian approaches and does not rely on acquisition constraints to define model-specific summary statistics. The obtained posterior distributions allow to highlight degeneracies present in the model definition and quantify the uncertainty and ambiguity of the estimated parameters. |
| 0990 | 17:13
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MRI reconstruction via Data-Driven Markov Chains with Joint Uncertainty Estimation: Extended Analysis |
| Guanxiong Luo1, Martin Heide1, Moritz Blumenthal1, and Martin Uecker1,2,3,4 | ||
1University Medical Center Göttingen, Göttingen, Germany, 2Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, 3German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany, 4Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells'' (MBExC), University of Göttingen, Göttingen, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction The application of generative models in MRI reconstruction is shifting researchers’ attention from the unrolled reconstruction networks to the probabilistically tractable iterations and permits an unsupervised fashion for medical image reconstruction. |
| 0991 | 17:21
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Robust Electromagnetic Interference (EMI) Elimination for RF Shielding-Free MRI via Active EMI Sensing and Deep Learning MRI Signal Prediction |
| Yujiao Zhao1,2, Jiahao Hu1,2, Vick Lau1,2, Linfang Xiao1,2, Alex T. L. Leong1,2, and Ed X. Wu1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China |
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Keywords: System Imperfections: Measurement & Correction, New Signal Preparation Schemes MRI scans are commonly performed inside a fully-enclosed RF shielding room, posing stringent installation requirement and unnecessary patient discomfort. This study develops a strategy of active EMI sensing and deep learning MR signal prediction using residual U-Net for RF shielding-free MRI. We implemented it on an ultra-low-field 0.055T head MRI scanner. Our experimental results demonstrated that this strategy could directly and accurately predict EMI-free MRI signals from the signals acquired by MRI receive coil and EMI sensing coils. It worked robustly with strong and dynamically varying EMI sources, yielding significantly improved brain image quality. |
| 0992
|
17:29
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Active dictionary learning: fast and adaptive parameter mapping for dynamic MRI |
| Hongjun An1, Jiye Kim1, and Jongho Lee1 | ||
1Seoul National University, Seoul, Korea, Republic of |
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Keywords: Machine Learning/Artificial Intelligence, MR Fingerprinting A new parameter mapping method, active dictionary learning, for dynamic MRI is proposed. This method trains a neural network adaptively by AI-guided MR signal simulation. For an MRF sequence with M0, T1, T2, B1, and ΔB0, our method successfully estimates the parameters much faster than conventional methods (ours: 30 min for whole process; dictionary methods: 6 hours for generation, 36 hours or 3 hours for matching). AI-guided active dictionary learning enables adaptive quantification of out-of-range parameters and efficient computation, suggesting the usefulness of the method not only in dynamic imaging but also in applications where adaptation to parameters is necessary. |
| 0993 | 17:37
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Quantitative MRI Interpretable 100D Feature Space of Knee Osteoarthritis |
| Gabrielle Hoyer1, Kenneth Gao1, Jinhee Lee1, Johanna Luitjens2, Felix Gassert2, Sharmila Majumdar2, and Valentina Pedoia2 | ||
1Department of Radiology and Biomedical Imaging, UCSF; University of California Berkeley–University of California San Francisco Graduate Program in Bioengineering, University of California, San Francisco; University of California Berkeley, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, UCSF, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Osteoarthritis, MSK, statistical shape modeling, cartilage thickness, cartilage T2, meniscus While the Osteoarthritis Initiative data has been explored in independent studies, to our knowledge, never has such a comprehensive analysis been completed, investigating morphology of femur, patella, tibia, menisci, for biomarkers: cartilage thickness, cartilage T2, bone shape, and meniscus shape. With 4,796 subjects from the OAI, this study utilizes an automatic statistical shape modeling technique to create a 100D interpretable space of biomarker-tissue PC modes, which can be disseminated using an innovative opensource app. In combination with Image Twin and Clinical Twin analyses, variations in morphology, as well as clinical metadata, were identified as being significantly associated with osteoarthritis incidence. |
| 0994
|
15:45
|
Automated Surfaced-based Detection of Focal Cortical Dysplasia using MR Fingerprinting |
| Ting-Yu Su1,2, Siyuan Hu2, Xiaofeng Wang3, Sophie Adler4, Konrad Wagstyl5, Zheng Ding1,2, Joon Yul Choi1, Ken Sakaie6, Ingmar Blümcke1,7, Hiroatsu Murakami1, Stephen Jones6, Imad Najm1, Dan Ma2, and Zhong Irene Wang1 | ||
1Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Quantitative Health Science, Cleveland Clinic, Cleveland, OH, United States, 4University College London Great Ormond Street Institute for Child Health, London, United Kingdom, 5Wellcome Centre for Human Neuroimaging, London, United Kingdom, 6Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 7Neuropathology, University Hospitals Erlangen, Erlangen, Germany |
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Keywords: Epilepsy, MR Fingerprinting Focal cortical dysplasia (FCD) is a common pathology in medically intractable focal epilepsy and often difficult to detect by visual inspection of conventional MRI. We developed a framework for automatic FCD detection using surface-based processing of conventional MRI and MR fingerprinting data. Thirty-six patients with FCD and 48 healthy controls were included. Improved vertex-wise and cluster-wise performance was seen when MRF and FLAIR features were added to T1w data. A second-stage cluster-wise classifier showed efficacy to reduce false-positive clusters. Interim results of patient-level sensitivity of 76% and low false-positive clusters in controls supported potential clinical applicability of the proposed framework. |
| 0995
|
15:53
|
Detecting in vivo Mitochondrial Dysfunction with 4D Oxy-wavelet MRI in Kainic Acid Induced Temporal Lobe Epilepsy |
| Devin Raine Everaldo Cortes1,2,3, Margaret C. Stapleton2,3, Kristina E. Schwab4,5, Noah W. Coulson2,6, Dalton R West2,3, Thomas Becker-Szurszewski4,5, Sean Hartwick4,5, Sivakama S. Bharathi7, Eric Goetzman7, Kevin M. Kelly8, Anthony G. Christodoulou9, and Yijen L Wu1,2,3,7 | ||
1Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States, 3Rangos Research Center Small Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 4Rangos Research Center Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 5Department of Pediatrics, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States, 6Rangos Research Center Small Animal Imaging Core, University of Pittsburgh, Pittsburgh, PA, United States, 7Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States, 8Allegheny Health Network Research Institue, Allegheny General Hospital, Pittsburgh, PA, United States, 9Biomedical Imaging Research Institue, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Epilepsy, Metabolism, fMRI, Hypoxia Intractable temporal lobe epilepsy, often acquired after status epilepticus (SE) injury, greatly reduces quality of life. There is an unmet need for a non-invasive method to track progression from SE to epilepsy, which would allow early intervention to prevent irreversible damage to the brain. Mitochondrial dysfunction is becoming a recognized marker of epileptogenesis. Here, we established a novel functional MRI methodology, the 4D Oxy-wavelet MRI, capable of in vivo detection of mitochondrial dysfunction underlying post-SE epileptogenesis in a spatial specific manner. This non-invasive method may aid early detection of subclinical epileptogenesis and serve as a biomarker for therapeutic efficacy. |
| 0996 | 16:01
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A first application of the ILAE consensus protocol for 7T epilepsy imaging in addition to clinical practice |
| Gilbert Hangel1,2,3, Gregor Kasprian4, Stefanie Chambers1,2, Lukas Haider4, Philipp Lazen1,2, Johannes Koren5, Robert Diehm6, Katharina Moser6, Matthias Tomschik1, Jonathan Wais1, Fabian Winter1, Vitalij Zeiser1, Stephan Gruber2, Susanne Aull-Watschinger7, Tatjana Traub-Weidinger8, Christoph Baumgartner5, Martha Feucht6, Christian Dorfer1, Wolfgang Bogner2, Siegfried Trattnig2, Ekaterina Pataraia7, and Karl Rössler1 | ||
1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 2High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria, 4Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 5Department of Neurology, Klinik Hietzing, Vienna, Austria, 6Center for Rare and Complex Childhood Onset Epilepsies, Member of ERN EpiCARE, Department of Pediatrics and, Medical University of Vienna, Vienna, Austria, 7Department of Neurology, Medical University of Vienna, Vienna, Austria, 8Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Wien, Austria |
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Keywords: Epilepsy, Brain In a cohort of 38 patients with pharmacoresistant focal epilepsy, our implementation of the 2021 ILAE 7T consensus protocol found lesions in 19% of 3T MR-negative cases and improved delineation of lesions in 88% of 3T MR-positive cases, with statistically significant higher detection confidence at 7T. Our results conform to literature and show the surplus effect of the consensus protocol in addition to clinical standard diagnostics and point at a potential main use of better surgical planning in known lesions. |
| 0997 | 16:09
|
7T metabolic MRI in mesial temporal lobe epilepsy |
| Sarah M Jacobs1, Zahra Shams1, Anja G van der Kolk1,2, Alex Bhogal1, Jannie P Wijnen1, Jeroen C.W. Siero1,3, Pieter van Eijsden4, Edwin Versteeg1, Angelika Mühlebner5,6, Wim Van Hecke5, Dennis WJ Klomp1, Maeike Zijlmans4,7, and Evita C Wiegers1 | ||
1Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 3Spinoza Centre for Neuroimaging Amsterdam, Amsterdam, Netherlands, 4UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands, 5Department of Pathology, University Medical Center Utrecht, Utrecht, Netherlands, 6Department of Pathology, Amsterdam University Medical Center, location AMC, Amsterdam, Netherlands, 7Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, Netherlands |
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Keywords: Epilepsy, Metabolism We combined quantitative susceptibility mapping (QSM) and single voxel (SV) 1H magnetic resonance spectroscopy (MRS) at 7 tesla (7T) with the aim to characterize mesial temporal lobe epilepsy (mTLE). We discovered in 9 patients that the distribution of quantified susceptibly is negatively skewed in epileptogenic hippocampi compared to contralateral hippocampi, meaning more positive susceptibility values: an indicator for iron deposition. No differences in metabolite ratios could be seen in 7 patients between hippocampi, however our small sample size precludes any final conclusions. |
| 0998 | 16:17
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Multi-channel 7 Tesla sodium MRI of the brain in children with epileptogenic SCN1A sodium channel mutations – a pilot study |
| Jon Orlando Cleary1, Samuel Rot2,3, Michael Ayre4,5,6, Philippa Bridgen6, Ayse Sila Dokumaci5,6, Yasmin Blunck7, Warda Syeda8, Bhavana S Solanky2,9, Shaihan J Malik5,6, Ming Lim4, Claudia A.M. Gandini Wheeler-Kingshott2,10,11, Shan-Shan Tang4, and David W Carmichael5,6 | ||
1Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom, 2MR Research Unit, Queen Square MS Centre, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, London, United Kingdom, 3Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 4Children's Neurosciences, Evelina London Children's Hospital at Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 5Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6London Collaborative Ultra High Field System (LoCUS), London, United Kingdom, 7Melbourne Brain Centre Imaging Unit, The University of Melbourne, Parkville, Melbourne, Australia, 8Melbourne Neuropsychiatry Centre, The University of Melbourne, Parkville, Melbourne, Australia, 9Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 10Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 11Brain Connectivity Centre Research Department, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: Epilepsy, Non-Proton, brain, sodium MRI, high-field MRI, SCN1A SCN1A gene mutations disrupt sodium channel (NaV1.1) function, causing childhood epilepsy which can be severe. Predicting functional consequences in these children is challenging and new prognostic imaging biomarkers are needed. Sodium MRI directly assesses brain sodium and is a potential in vivo imaging biomarker. Using a multiecho sodium sequence, at 7T, we found children with SCN1A mutations had increased relative sodium concentrations across a large number of brain regions compared to controls. The cause of this change is likely complex, and may reflect an interplay between neuronal/axonal/glial dysfunction – with disruptions in microstructure and physiology – and possible medication effects. |
| 0999 | 16:25
|
Structural changes within the temporal lobe in mesial temporal lobe epilepsy at 7 Tesla |
| Mackenzie Langan1,2, Gauarv Verma2, Madeline Fields3, Lara Marcuse3, Priti Balchandani2,4,5, and Rebecca Feldman2,6 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Neurology, Mount Sinai Hospital, New York, NY, United States, 4Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Computer Science, Math, Physics, and Statistics, University of British Columbia, Kelowna, BC, Canada |
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Keywords: Epilepsy, Neuroinflammation, High-Field MRI, perivascular spaces Here we outline a preliminary analysis using a novel method leveraging ultra-high field neuroimaging to measure detectable differences in vasculature within the temporal lobe that may not be detectable at lower field strengths. We provide a tool for detection and quantification of vessels, perivascular spaces, and volumetric changes within the temporal lobe which may be relevant to uncover possible underlying neuroinflammatory processes in mesial temporal lobe epilepsy (MTLE) patients. In our analysis, we found a significant association between volumetric measures of the temporal lobe and vascular and perivascular markers, in patients with lateralized MTLE which may underlie epileptogenic processes. |
| 1000
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16:33
|
Multi-tensor diffusion abnormalities of gray matter in an animal model of cortical dysplasia. |
| Paulina Jael Villaseñor1, Ana Aquiles1, David Cortes-Servín1, Aylin Perez-Moriel2, Hiram Luna-Munguía1, Alonso Ramirez-Manzanares2, Jorge Larriva-Sahd1, and Luis Concha1 | ||
1Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico, 2Centro de Investigación en Matemáticas, Guanajuato, Mexico |
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Keywords: Epilepsy, Microstructure Focal cortical dysplasias are characterized by abnormal cyto- and myelo- architecture and represent a frequent cause of epilepsy. In some cases these lesions are macroscopically subtle, often going undetected by several conventional imaging techniques, thus warranting the development of alternative imaging methods for their diagnosis. Novel methods for the analysis of diffusion-weighted imaging permit the investigation of the complex architecture of the cortex. Through spatial analysis of diffusion metrics using a multi-tensor approach we demonstrate abnormalities in an animal model of cortical dysplasia that reflect myeloarchitecture disarrangement as seen by histology. |
| 1001 | 16:41
|
A 15-minute 860um whole-brain MR-Fingerprinting and DTI epilepsy protocol demonstrated on 51 medial temporal lobe epilepsy patients. |
| Kang Wang1, Xiaozhi Cao2,3, Quan Chen2,3, Zihan Zhou4, Dengchang Wu1, Yunsong Liu5, Hongjian He4, Jianhui Zhong4,6, Kawin Setsompop2,3, and Congyu Liao2,3 | ||
1Department of Neurology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 4Center for Brain Imaging Science and Technology, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 5Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States, 6Department of Imaging Sciences, University of Rochester, Rochester, NY, United States |
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Keywords: Epilepsy, Epilepsy In this work, we combined a 5-minute whole-brain 0.86mm-iso 3D-MR fingerprinting (MRF) with a 10-minute whole-brain 0.86mm-iso diffusion MRI protocol, to achieve high-fidelity whole-brain T1/T2/PD and diffusivity maps at sub-millimeter isotropic resolution. This protocol was applied to medial temporal lobe epilepsy (MTLE) patients to enable accurate detection of the hippocampal sclerosis. A multi-parametric analysis was implemented with whole-brain subcortical segmentation. A multi-component 2D-relaxometry spectra was estimated with non-negative joint sparsity for robust suspicious lesion detection. |
| 1002 | 16:49
|
Evaluation of glymphatic system function using DTI-ALPS in patients with temporal lobe epilepsy |
| Xu Zhao1, Zhiqiang Zhou1, and Wenzhen Zhu1 | ||
1Tongji hospital of Tongji medical college, Huazhong university of science and technology, Wuhan, China |
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Keywords: Epilepsy, Diffusion Tensor Imaging, glymphatic system, asymmetry The alterations of glymphatic system function in left hemisphere and right hemisphere and the asymmetric features of glymphatic system were not clear in temporal lobe epilepsy (TLE) patients. We investigated the glymphatic system function in TLE patients and evaluated the asymmetric features of glymphatic system by using DTI-ALPS method. Our findings indicated leftward asymmetric tendency of glymphatic system in adult human brain. The abnormality of glymphatic system asymmetry in LTLE was also found. The glymphatic system function was impaired and more severe alterations of glymphatic system in ipsilateral hemisphere than contralateral hemisphere in TLE patients. |
| 1003 | 16:57
|
Combined 18F-FDG PET/DTI reveals concurrent more extensive brain damage in mesial temporal lobe epilepsy |
| Chuan Huang1,2, Tianyun Zhao2, Siyu Yuan3, Hui Huang3, Miao Zhang4, and Jie Luo3 | ||
1Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 2Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4Department of Nuclear Medicine, Ruijin Hospital, Shanghai, China |
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Keywords: Epilepsy, Epilepsy Mesial temporal lobe epilepsy is the most common type of drug-resistant epilepsy, with hippocampus sclerosis (HS) being its most common pathology. Anterior temporal lobectomy is the most common surgical strategy for these patients, many still suffer from seizures post-surgery, which may relate to their extensive brain network damage. 18F-FDG-PET is sensitive to metabolic changes in the epileptogenic zone. DTI can assess the integrity of white-matter tracts. In this study, we investigated the changes in glucose uptake, white-matter tracts, and their differences in brain networks of MR-HS versus MR-negative patients using simultaneous PET/MR, and studied if these changes coincide topographically. |
| 1004 | 17:05
|
Can fMRI metrics lateralize epileptogenic hypometabolic FDG-PET regions? A simultaneous PET/MR investigation in focal epilepsy |
| Daniel Uher1,2,3, Gerhard S. Drenthen1,2, Tineke van de Weijer2, Jochem van der Pol2, Rob Rouhl2, Olaf E.M.G. Schijns1,3,4, Albert J. Colon4, Walter H. Backes1,2, and Jacobus F.A. Jansen1,2,4,5 | ||
1School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, Netherlands, 3Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, Netherlands, 4Academic Centre for Epileptology, Kempenhaeghe/Maastricht University Medical Centre, Maastricht, Netherlands, 5Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Keywords: Epilepsy, PET/MR Locally reduced glucose metabolism (i.e. hypometabolism) derived from the 18-FDG positron emission tomography (FDG-PET) is considered to be a valuable biomarker for epileptogenic zone localization. Spontaneous fluctuations in blood-oxygen-level-dependent fMRI (BOLD fMRI) can indirectly measure neuronal activity. Studies have suggested that the fMRI-derived metrics may be indicative of the epileptogenic zone localization, however the potential for fMRI to reflect and lateralize the hypometabolic FDG-PET regions remains underdetermined. Here, both static and dynamic fMRI-derived metrics were calculated and we assessed their potential for lateralizing the hypometabolic FDG-PET regions in patients with unilateral focal epilepsy. |
| 1005 | 17:13
|
Clinical reliability of the “Home Town Walk” fMRI paradigm for memory function localization in pre-surgical assessment of patients with Epilepsy |
| Rosa Sanchez-Panchuelo1, Nigel Paul Davies1, Roya Jalali1, Roman Wesolowski1, Robert Flintham1, and Vijay Sawlani2 | ||
1Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom, 2Radiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom |
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Keywords: Epilepsy, fMRI (task based), Memory function; Pre-surgical assessment; Clinical implementation; Clinical reliability Memory-activated functional MRI (fMRI) is increasingly implemented in the clinic to assess memory function and inform pre-surgical decision making in refractory epilepsy. The Home Town Walking (HTW) fMRI paradigm has been shown to activate the parahippocampal gyri (PHG) and help determine memory lateralization in epilepsy patients. However, limited data are available on the reliability of this technique in clinical practice. This study aims to assess the robustness of the HTW paradigm for localising and lateralising memory function in a consecutive clinical series of 117 Temporal Lobe Epilepsy patients. Memory-related activation patterns were observed in 76% of cases with 94% reproducibility. |
| 1006 | 17:21
|
Direct visualization and automatic segmentation of the centromedian nucleus for epilepsy deep brain stimulation |
| Manojkumar Saranathan1, Chaitanya Ganne2, and Sandipan Pati2 | ||
1Radiology, UMass Chan Medical School, Worcester, MA, United States, 2Neurology, University of Texas Health Science Center, Houston, TX, United States |
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Keywords: Epilepsy, Segmentation, Deep brain stimulation targeting We present a patient-specific segmentation method for targeting the centromedian nucleus for epilepsy deep brain stimulation and compare it to an atlas-based indirect targeting method in 8 patients. |
| 1007 | 17:29
|
Quantitative Susceptibility of Subcortical Grey-Matter Regions in Early versus Refractory Focal Epilepsy |
| David N Vaughan1,2, Eric Y Pierre1, Marty Bryant1, David F Abbott1, Heath R Pardoe1, Warda T Syeda3, Bahman Tahayori1, Chris Tailby1,4, and Graeme D Jackson1,2 | ||
1Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 2Department of Neurology, Austin Health, Melbourne, Australia, 3Division of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia, 4Department of Neuropsychology, Austin Health, Melbourne, Australia |
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Keywords: Epilepsy, Quantitative Susceptibility mapping Magnetic susceptibility of subcortical grey matter regions was assessed in participants of the Australian Epilepsy Project pilot study. Adults with medication-resistant focal epilepsy were compared to those with newly-diagnosed focal epilepsy, and to people with a single seizure but no epilepsy diagnosis. Basal ganglia, thalamus, hippocampi and amygdala showed susceptibility values consistent with published values, with a positive correlation to age seen at the basal ganglia. There was no significant difference in subcortical susceptibility between the groups. Although other brain network changes may progress with refractory seizures, mineralisation of subcortical regions appears generally stable over the course of focal epilepsy. |
| 1008 | 17:37
|
Transcriptomic Signatures of Brain Regions Vulnerable to Anatomical and Metabolic Changes in Temporal Lobe Epilepsy |
| Jiwei Li1, Hui Huang1, Bingyang Cai1, Siyu Yuan1, and Jie Luo1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Epilepsy, Tissue Characterization Imaging transcriptomics could bridge the gap between connectome and transcriptome. In this study, we selected brain regions that were vulnerable to hypometabolism, and those vulnerable to atrophy, then investigated transcriptional signatures and cell-type composition differences that may contribute to TLE-related brain structural and metabolic changes. We found hippocampus and entorhinal were found to be most vulnerable brain regions in both anatomical and metabolic changes in TLE patients. Enrichment analysis found that differential expression genes most significantly enriched in neuroactive ligand-receptor interaction pathway. Inhibitory neuron, microglia and oligodendrocyte precursor cells showed significant difference between vulnerable regions and relatively healthy regions. |
| 1009
|
15:45
|
Towards rapid and accurate navigators for motion and B0 estimation using QUEEN (QUantitatively-Enhanced parameter Estimation from Navigators) |
| Yannick Brackenier1, Nan Wang1, Congyu Liao1, Xiaozhi Cao1, Sophie Schauman1, Mahmut Yurt2, Lucilio Cordero-Grande3, Shaihan J Malik4,5, Adam Kerr2,6, Joseph V Hajnal4,5, and Kawin Setsompop1,2 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain, 4Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6Cognitive and Neurobiological Imaging (CNI), Stanford University, Stanford, CA, United States |
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Keywords: Motion Correction, Brain ‘Scout-based’ navigators exploit correlations between navigator data and a low-resolution multi-coil pre-scan data (scout) to effectively estimate either motion or B0-perturbations. Usually, scout data has a fixed contrast, limiting their usage in estimating motion within echo-trains where contrast changes from one readout to the next (e.g. MPRAGE). Furthermore, combined motion and B0-perturbation estimation from rapid navigators has yet to be achieved. In this work, we propose a quantitative scout (Q-SCOUT) to ‘time-resolve’ navigator contrast, along with a rapid SPINS-navigator (few ms). Q-SCOUT and rapid navigator data are used in our QUEEN method to enable within-echo-train motion and B0-perturbation estimation. |
| 1010 | 15:53
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High Temporal Resolution Head Motion Tracking using Pilot Tone and 3D Radials |
| Tess E Wallace1,2, Cemre Ariyurek1,2, Fatih Calakli1,2, Tobias Kober3,4,5, Simon K Warfield1,2, and Onur Afacan1,2 | ||
1Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Keywords: Motion Correction, Brain Radial acquisitions are inherently motion-robust and facilitate self-navigation, however the frequency of motion updates from navigator images is limited. Pilot tone (PT) enables continuous motion sensing, but estimation of quantitative motion parameters requires a subject-specific calibration. In this work, we propose (i) using PT motion detection to guide navigator-based motion estimation from a 3D radial acquisition and (ii) using these measurements to calibrate a PT motion model in order to provide high temporal resolution quantitative motion tracking. This hybrid approach demonstrates improved retrospective correction results with reduced blurring and facilitates PT motion tracking for subsequent scans. |
| 1011 | 16:01
|
Free-breathing renal R2*/QSM using 3D multi-echo UTE cones acquisition and motion-resolved reconstruction with image-based self-navigator |
| MungSoo Kang1, Gerald G. Behr2, Ilya Glezerman3, Ricardo Otazo1,2, and Youngwook Kee1 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Motion Correction, Image Reconstruction Respiratory motion is a significant challenge for the acquisition of reliable renal R2*/QSM. The combination of 3D multi-echo UTE cones MRI and respiratory motion-resolved image reconstruction with an image-based self-navigator was developed to enable motion-robust renal R2*/QSM. Motion-resolved reconstruction with an image-based self-navigator showed better image quality compared to conventional gridding reconstruction and higher apparent SNR and CNR compared to motion-resolved reconstruction using the center of the k-space as navigator. 3D multi-echo UTE cones MRI and motion-resolved image reconstruction with image-based self-navigator demonstrated the feasibility of motion-robust, free-breathing, and high isotropic resolution of renal R2*/QSM. |
| 1012 | 16:09
|
Motion-Compensated Slice-by-Slice ∆B0 Shimming with an AC/DC Shim Coil and Dual-Echo vNavs |
| Nicolas Sebastian Arango1, Robert Frost2,3, Paul Wighton2, Jason Stockmann2,3, Ovidiu C Andronesi2,3, and Andre van der Kouwe2,3 | ||
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Motion Correction, fMRI Subject motion results in intra-scan ∆B0 changes which are uncompensated in conventional ∆B0 shimming methods. Rapidly switchable shim currents and ∆B0 vNavigators together enable motion-compensated shimming. We have demonstrated successful measurement, calculation, and application of motion-compensated slice-by-slice shims using and AC/DC coil and vNav ∆B0 maps. Motion-compensated slice-by-slice homogeneity shimming improves shim robustness to subject motion and enables compatibility with changing slice prescriptions of prospective motion correction. |
| 1013 | 16:17
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2D Self-Navigation Improves Respiratory Motion Tracking Compared with 1D Self-Navigation in 3D Left Atrial LGE using XD-GRASP Reconstruction |
| KyungPyo Hong1, Suvai Gunasekaran1, Mohammed Elbaz1, Aggelos K Katsaggelos2, Saman Nazarian3, Rod Passman4, Eugene Kholmovski5, and Daniel Kim1 | ||
1Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 2Electrical and Computer Engineering, Northwestern University Feinberg School of Medicine, Evanston, IL, United States, 3Medicine, Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States, 4Medicine, Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 5Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Motion Correction, Arrhythmia, Late Gadolinium Enhancement Previously described left atrial (LA) late gadolinium enhancement (LGE) using a stack-of-stars k-space sampling pattern with XD-GRASP reconstruction may produce blurry LA wall due to signal variation of inversion-recovery-prepared 1D self-navigation caused by arrhythmia. We hypothesize 2D image self-navigation would be less sensitive to arrhythmia for motion tracking in XD-GRASP framework. In this study, we developed a free-breathing, LA LGE pulse sequence with isotropic spatial resolution using a stack-of-stars sampling pattern and 2D self-navigation and compared its performance against conventional 1D self-navigation in patients with atrial fibrillation. Results show that 2D self-navigation improves respiratory motion tracking compared with 1D. |
| 1014 | 16:25
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Motion Correction for Interleaved EPI Diffusion Imaging using a Markerless Optical Tracking System |
| Yi Xiao1, Chunyao Wang1, Sisi Li1, Huijun Chen1, and Hua Guo1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China |
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Keywords: Motion Correction, Diffusion Tensor Imaging Multi-shot interleaved EPI can achieve high-resolution diffusion imaging and effectively reduce geometric distortions. However, multi-shot acquisitions are susceptible to bulk motion which causes artifacts. Optical tracking-based motion correction is an effective method to reduce motion artifacts in DWI. Based on a self-developed Structured Light Optical MOtion tracking (SLOMO) system, a retrospective motion correction method was developed for multi-shot interleaved EPI DWI. The performance was evaluated by in-vivo experiments and compared with software-based correction. |
| 1015 | 16:33
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Self-navigation using fat navigators for motion immune diffusion weighted-imaging via chemical-shift encoded multi-shot EPI |
| Yiming Dong1, Kirsten Koolstra2, Malte Riedel3, Matthias J.P. van Osch1, and Peter Börnert1,4 | ||
1C.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, Netherlands, 2Philips, Best, Netherlands, 3University and ETH Zurich, Zurich, Switzerland, 4Philips Research, Hamburg, Germany |
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Keywords: Motion Correction, Motion Correction The presence of fat is a challenge in diffusion-weighted EPI. Recently, chemical-shift encoded approaches found interest, as a smart way of signal averaging, doing water/fat separation and diffusion phase navigation in the reconstruction. However, the dominant signal character of fat in diffusion could actually also be exploited as an advantage by forming a shot-specific fat navigator to track and correct for macroscopic in-plane motion, combined with a model-based self-navigated water/fat decomposition. This allows to correct for both physiological and macroscopic in-plane motion effects in DWI when estimating water and fat resolved images from chemical-shift encoded multi-shot EPI data. |
| 1016 | 16:41
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Selective MRI reacquisition to extend the working range of retrospective motion correction |
| Malte Laustsen1,2, Jakob Slipsager2, Thomas Gaaß2, Robert Frost3,4, André van der Kouwe3,4, Melanie Ganz5,6, and Lars G. Hanson1 | ||
1Magnetic Resonance Section, DTU Health Tech, Technical University of Denmark, Kgs. Lyngby, Denmark, 2TracInnovations, Ballerup, Denmark, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark, 6Department of Computer Science, University of Copenhagen, Copenhagen, Denmark |
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Keywords: Motion Correction, Artifacts Retrospective motion correction (RMC) can substantially reduce motion artifacts in 3D brain MRI. However, for extensive motion, RMC performance is limited. We evaluate RMC with selective reacquisition (RMC+reacq) to expand the range of correctable motion, while directly comparing to prospective motion correction (PMC) for volumetric brain MRI, using external motion tracking. Both approaches lead to significant image quality improvement and the performance of RMC+reacq and PMC was only found statistically significant in 1 of 9 comparisons. These results suggest that RMC with selective reacquisition can match the performance of PMC for 3D-MPRAGE and 3D-FLAIR sequences. |
| 1017 | 16:49
|
Real-time correction of rigid motion and 1st-order shims using rapid 3D orbital navigators |
| Malte Riedel1, Thomas Ulrich1, and Klaas Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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Keywords: Motion Correction, Brain Rigid head motion, which is a challenging problem in itself, is further accompanied by field variations as the object moves in an inhomogeneous background field, and because pose changes lead to varying susceptibility-induced fields. In contrast to external sensors like optical cameras, navigators are naturally sensitive to field variations. We propose a fast, scan-integrated calibration method to sensitize the 3D orbital navigators to rigid motion and 1st order shim fields. The obtained motion and field parameters are used to correct the scan geometry and shim settings in real-time. The performance is evaluated in phantom and in-vivo studies. |
| 1018
|
16:57
|
Spiral-In/Out MR Elastography with Fat-Water Image Reconstruction for the Quantification of Skull and Brain Motion |
| Alexa M Diano1, Alex M Cerjanic1,2, Olivia M Bailey1, Grace McIlvain1, and Curtis L Johnson1 | ||
1Department of Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Department of Medicine, Massachusetts General Hospital, Boston, MA, United States |
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Keywords: Elastography, Traumatic brain injury This study uses a novel multishot spiral-in/out fat-water magnetic resonance elastography (MRE) pulse sequence to simultaneously measure skull and brain motion in vivo in a single acquisition. Results in a healthy volunteer showed reduced transmission of motion from the skull to the brain in all three directions of motion. Additionally, the motion of the skull and brain appear to be in phase, with the scalp moving out of phase and most overall displacement in the direction of actuation. This research provides a basis for future studies quantifying skull-brain coupling with multiple actuation frequencies and excitation directions. |
| 1019 | 17:05
|
Three-dimensional rigid head motion correction using the Beat Pilot Tone and Gaussian Processes |
| Niek R.F. Huttinga1, Suma Anand2, Cornelis A.T. van den Berg1, Alessandro Sbrizzi1, and Michael Lustig2 | ||
1Computational Imaging Group for MR therapy & Diagnostics, Department of radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Motion Correction, Motion Correction, Brain; Pilot Tone; Surrogate Signals In this work we propose a framework based on Gaussian Processes to extract quantitative motion information from Beat Pilot Tones and subsequently correct rigid head motion in 2D and 3D. In a calibration phase, low-resolution images are acquired and registered to build a training set. Next, Gaussian Processes are trained to infer rigid parameters from multi-channel BPTs, exploiting automatic relevance determination of input channels. In the inference phase, rigid parameters are inferred per readout from the BPT, and high-resolution scans are corrected for motion. In practice the method could reduce the need for anesthetics and/or re-scans in e.g. pediatric patients. |
| 1020 | 17:13
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Towards contact-free motion sensing technique at low-field MRI using beat pilot tone |
| Suen Chen1, Haoyu Sun1, Hao Chen1, Suma Anand2, Michael Lustig2, and Zhiyong Zhang1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Motion Correction, Low-Field MRI, Pilot Tone To improve the image quality in low field, the conventional method is to repeat scanning many times, and finally increase the SNR by averaging multiple imaging data. Unfortunately, long scan time can make images highly susceptible to motion artifacts. A recent contact-free motion detection technology Beat Pilot Tone (BPT) improves the sensitivity compared with Pilot Tone (PT) and is not limited by Larmor frequency. We introduce BPT in a 0.25T low-field MRI system, and successfully reduce the motion artifacts while improving SNR by binning the continuously acquired data into different motion states in image domain and k-space via BPT signal. |
| 1021 | 17:21
|
Motion Estimation and Retrospective Correction in 2D Cartesian Turbo Spin Echo Prostate Scans |
| Bryan Clifford1, Daniel Polak2, Wei-Ching Lo1, Daniel Nicolas Splitthoff2, Bradley Bolster3, Vibhas Deshpande4, Mukesh G. Harisinghani5, Susie Huang5, Lawrence L. Wald6,7, and Stephen Cauley6 | ||
1Siemens Medical Solutions, USA, Boston, MA, United States, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Medical Solutions, USA, Salt Lake City, UT, United States, 4Siemens Medical Solutions, USA, Austin, TX, United States, 5Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 6Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 7Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Motion Correction, Prostate, MR Value, Motion Correction, Body, Clinical Applications, Prostate Non-rigid patient motion is commonly encountered in clinical settings and can degrade the diagnostic quality of MR exams. We apply the SAMER retrospective method for 2D TSE/FSE prostate imaging to quantify and correct for bulk motion in the abdomen. SAMER utilizes a rapid low-resolution scout scan and a small number of calibration samples for separable motion estimation. In controlled phantom and in vivo experiments, SAMER enabled accurate motion parameter estimation across multiple motion patterns. In addition, we demonstrate improved image homogeneity and spatial resolution when SAMER is used for correction of non-rigid motion in the prostate. |
| 1022
|
17:29
|
Real-time automatic field-of-view adjustment in fetal MR scans using Gadgetron |
| Sara Neves Silva1, Jordina Aviles Verdera1, Raphaël Tomi-Tricot2,3, Radhouene Neji2,3, Thomas Wilkinson1, Valéry Ozenne4, Alexander Lewin5, Lisa Story1, Enrico De Vita2, Mary Rutherford1, Kuberan Pushparajah2, Jo Hajnal1, and Jana Hutter1 | ||
1Perinatal Imaging & Health, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4Université de Bordeaux, Bordeaux, France, 5Forschungszentrum Jülich, Jülich, Germany |
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Keywords: Motion Correction, Fetus MRI provides an ideal tool for characterising fetal brain development and growth. It is, however, a relatively slow imaging technique and therefore extremely susceptible to subject motion. To address this challenge, we are developing an intrinsically motion-robust deep-learning-based fetal MRI method to achieve real-time fetal head tracking and update the acquisition geometry prospectively. Our method uses Gadgetron for real-time reconstruction of the scans and a 3D UNet for fetal head position location and motion estimation. Real-time tracking and correction for functional fetal MRI was demonstrated both in controlled phantom setups and in fetal MRI cases. |
| 1023
|
17:37
|
MR SIGNATURE MATCHING (MRSIGMA) FOR VOLUMETRIC MRI WITH LESS THAN 300MS LATENCY ON A 1.5T MR-LINAC SYSTEM |
| Syed Saad Siddiq1, Victor Murray1, Neelam Tyagi1, Pim T.S. Borman2, Bas W. Raaymakers2, Can Wu1, and Ricardo Otazo1,3 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 3Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Hybrid & Novel Systems Technology, Radiotherapy The MR-Linac system offers a platform to adapt and monitor radiotherapy of tumors affected by continuous motion in real-time. However, real-time MRI technology is restricted to 2D imaging, which limits performance. MR Signature Matching (MRSIGMA) is a recently developed real-time 3D MRI technique with the MR-Linac as a target. However, MRSIGMA was tested only in a non-real-time scenario. This work develops a real-time implementation of MRSIGMA on the Elekta Unity 1.5T MR-Linac, including raw data transmission to an external computer, deep learning 4D reconstruction and correlation-based matching to demonstrate total imaging latency lower than 300ms. |
| 1024
|
15:45
|
A Multi-Subject Deconvolution Algorithm for the Analysis of Naturalistic fMRI data |
| Eneko Uruñuela1, Clara Sava-Segal2, Megan Leung2, Emily S Finn2, and César Caballero-Gaudes1 | ||
1Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain, 2Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States |
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Keywords: Brain Connectivity, fMRI, naturalistic paradigms Collecting fMRI data during naturalistic paradigms has drawn considerable attention in human neuroscience as a way to investigate brain function in ecologically valid conditions. We introduce a novel method (multi-subject paradigm free mapping) to decipher BOLD events in a temporally agnostic manner, and explore concordant group activations and individual idiosyncrasies. Besides, it can operate at the fastest temporal and spatial resolutions of the data. We validate it on simulated and real naturalistic fMRI data, revealing events that track expected features of the stimulus. Overall, this technique substantially increases sensitivity in linking moment-to-moment brain activity to its underlying cause(s). |
| 1025
|
15:53
|
Multivariate Patterns of Brain Functional Connectome Underlying COVID-related Negative Affect Symptoms |
| Nanfang Pan1,2, Kun Qin1,2, Song Wang1, and Qiyong Gong1 | ||
1Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, CINCINNATI, OH, United States |
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Keywords: Brain Connectivity, COVID-19 In the investigation of mental health issues following the unprecedented COVID-19 pandemic, we used the pre-COVID neuroimaging data to predict the severity of negative affect during the pandemic in a general population. Notably, covariation patterns of mode stress and mode anxiety were identified, and the brain DAN network plays a critical role in both modes. Based on individualized patterns, we may identify individuals who confer high vulnerability to pandemic-induced stress or anxiety symptoms. Our findings may facilitate the understanding of neural correlates underlying pandemic-induced negative affect, and the susceptibility neuromarkers may serve as targets for early prevention and psychological intervention. |
| 1026
|
16:01
|
The cerebellum modulates non-linear behavior of motor planning areas in variable grip-force visuomotor task |
| Roberta Maria Lorenzi1, Gokce Korkmaz1, Adnan Alahmadi2, Letizia Casiraghi3, Anita Monteverdi4, Egidio D'Angelo1,4, Fulvia Palesi1, and Claudia A.M. Gandini Wheeler Kingshott1,4,5 | ||
1Department of Brain and Behavioral sciences, Università di Pavia, Pavia, Italy, 2Department of Diagnostic Radiology, College of Applied medical sciences, King Abdulaziz University, Jeddah, Saudi Arabia, 3Department of Mental Health and Dependence, ASST, Pavia, Italy, 4Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy, 5Department of Neuroinflammation, UCL Queen Square Institute of Neurology, NMR Research Unit, Queen Square Multiple Sclerosis Centre, London, United Kingdom |
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Keywords: Brain Connectivity, fMRI (task based), Cerebellum The hemodynamic response to neuronal stimuli can be both linear and nonlinear with the applied grip-force of a “squeeze-ball” task, controlled by a visual cue. Dynamic Causal Modelling was applied here to understand the causal effective between-region connectivity shaping the hemodynamic response recorded by functional-MRI. Effective connectivity resulted non-symmetric, with strong excitation from visual to motor areas. Results indicated primary visual cortex linear modulation of the cerebellar response, which exerted nonlinear influence on cortical motor planning, suggesting activation hierarchy in the motor circuit with prominent cerebellar role. This result may have important implications for understanding pathological changes affecting neural mechanisms. |
| 1027 | 16:09
|
A Brain-Behavior Interaction Analysis for Dyadic Brain Responses during Eye Contact between Parents and Children |
| Ray Lee1, Joshua Friedman2, Maria O'Brien3, Zhihua Ren1, Linbi Hong4, Paul Sajda4, and Nim Tottenham5 | ||
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 2Teacher's College, Columbia University, New York, NY, United States, 3Teacher's College, Columbia Unviersity, New York, NY, United States, 4Biomedical Engineering, Columbia University, New York, NY, United States, 5Psychology, Columbia University, New York, NY, United States |
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Keywords: Brain Connectivity, Neuroscience By combining hyperscan fMRI (hfMRI) and the facial action coding system (FACS), we introduce a new brain-behavior interaction analysis that can identify the underlying brain networks for perception and expression for different emotions during eye contact. It consists of three steps. 1) The affective facial muscle movements are encoded by facial action units (FAU) using FACS. 2) The specific emotional FAUs subserve the regressors for the univariant analysis on hfMRI data. 3) The brains’ activation maps are transformed into brain networks by multivariant analysis. It provides an approach to quantify affective interaction and emotional states. |
| 1028 | 16:17
|
Examining the temporal evolution of top-down task dependent modulations across cortical depths. |
| Luca Vizioli1, Logan T Dowdle1, Steen Moeller2, Kamil Ugurbil1, and Essa Yacoub1 | ||
1CMRR, University of Minnesota, Minneapolis, MN, United States, 2CMRR, University of Minnesota, Mineapolis, MN, United States |
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Keywords: Brain Connectivity, Brain We demonstrate the feasibility of simultaneously acquiring submillimeter and subsecond functional images to examine the temporal evolution of task-dependent modulations across cortical depths elicited by socially relevant stimuli such as faces at the single subject level. We achieved this using NORDIC denoising. Our results highlight the complexity of laminar fMRI results in humans which can be better resolved by high spatiotemporal recordings. We suggest that, when studied with sufficient, sub-second temporal resolution, depth-dependent fMRI has the potential to address laminar communication within and across areas, which is crucial to understanding the complexity of human hierarchal organization at the mesoscale level. |
| 1029
|
16:25
|
Individualized representation learning of resting-state fMRI |
| Kuan Han1, Minkyu Choi1, Xiaokai Wang1, Amaya Murguia1, and Zhongming Liu1 | ||
1University of Michigan, Ann Arbor, MI, United States |
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Keywords: Brain Connectivity, fMRI (resting state) We describe a generalizable, modular and explainable model for individualized representation learning of resting-state fMRI. The model consists of a “deep” base which learns representations that are unique to each individual brain through self-supervised learning, and “shallow” adds-on which are trained with supervised learning for different tasks of behavior prediction. The model is scalable to allow some add-on modules to be trainable without affecting others, and is explainable to identify brain structures responsible for individualized behavioral prediction. |
| 1030 | 16:33
|
Electrophysiological correlates of BOLD events with high cofluctuation amplitude in the resting human brain |
| Patricia Figueiredo1, Inês Esteves1, Ana Fouto1, Amparo Ruiz-Tagle1, Gina Caetano1, and César Caballero-Gaudes2 | ||
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisboa, Portugal, 2Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain |
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Keywords: Brain Connectivity, fMRI (resting state) fMRI studies have shown that the large-scale organization of resting-state functional brain networks can be largely explained by a small fraction of events exhibiting high cofluctuation amplitude. However, their neurobiological relevance remains unclear. We investigated the electrophysiological origins of high cofluctuation amplitude BOLD events using concurrent EEG-fMRI data acquired from humans. We found that high amplitude cofluctuations were associated with higher delta power and lower alpha power. This association was specifically observed when considering delays ~6s between EEG and BOLD signals, supporting its neurovascular origin and suggesting that high cofluctuation BOLD events have a neurophysiological origin. |
| 1031 | 16:41
|
Comparing Techniques for Multi-Site Harmonization of Structural Connectivity |
| Nancy Rose Newlin1, Leon Cai2, Derek Archer3,4,5, Kimberly R Pechman3, Kurt G Schilling6, Angela Jefferson3,5,7, Susan M Resnick8, Timothy J Hohman3,4,5, Andrea Shafer9, and Bennett Landman2,5,6,10 | ||
1Computer Science, Vanderbilt University, Nashville, TN, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, United States, 4Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, United States, 5Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 6Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 7Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States, 8Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States, 9Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States, 10Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States |
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Keywords: Brain Connectivity, Diffusion/other diffusion imaging techniques Tractography is a method to reconstruct white matter microstructure from DWI information and connectomics maps this reconstruction to a graph representation. We compute modularity, assortativity, global efficiency, and average betweenness centrality on this graph. We model changes in these measures with age and sex using DWI for healthy patients from two sites. Data from different sites requires harmonization to remove site-effects. We compare performances of ComBat and LinearRISH harmonization techniques at reducing CoV and removing confounding site-effects from associated linear models. We find that ComBat is effective at both and using LinearRISH in addition acts synergistically at harmonizing site differences. |
| 1032
|
16:49
|
Deep Brain Stimulation of Nucleus Accumbens Alters Brain Functional Connectivity and Metabolism to Enhance Memory-Related Cognitive Function |
| Ssu-Ju Li1, Ting-Chieh Chen1, Yu-Chun Lo2, Yi-Chen Lin1, Ching-Wen Chang1, Mu-Hua Wang1, Tsai-Yu Cho1, Sheng-Huang Lin3,4, and You-Yin Chen1,2 | ||
1Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei City, Taiwan, 2PhD Program in Medical Neuroscience, Taipei Medical University, Taipei City, Taiwan, 3Department of Neurology, Buddhist Tzu Chi Medical Foundation, Hualien County, Taiwan, 4Department of Neurology, Tzu Chi University, Hualien County, Taiwan |
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Keywords: Brain Connectivity, fMRI (resting state), deep brain stimulation, memory, cognition Deep brain stimulation (DBS) has been a well-established treatment for cognitive dysfunction. However, cognitive dysfunctions were demonstrated to be associated with the metabolic syndrome. Nucleus accumbens (NAc) in the dopaminergic pathway is associated with glucose metabolism, considered to be a promising DBS targeted region to be investigated. Resting-state functional MRI, behavioral test, bioenergetic analysis and electron microscopy were applied in this study. We found increased functional connectivity, enhancement in cognitive behavior, increased energy metabolism and mitochondrial biomass after NAc-DBS. |
| 1033 | 16:57
|
Zero echo time MB-SWIFT functional MRI of orientation selective deep brain stimulation of the rat infralimbic cortex using tetrahedral electrode |
| Hanne Laakso1, Ekaterina Paasonen1, Irina Gureviciene1, Omar Narvaez1, Lauri J Lehto1, Jaakko Paasonen1, Raimo Salo1, Kestutis Gurevicius1, Silvia Mangia2, Shalom Michaeli2, Heikki Tanila1, Alejandra Sierra1, and Olli Gröhn1 | ||
1A.I. Virtanen Institute, Kuopio, Finland, 2Center for Magnetic Resonance Research, Minneapolis, MN, United States |
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Keywords: Brain Connectivity, fMRI In this study, the response of the amygdala to 3D orientation selective deep brain stimulation of the infralimbic cortex (IL) was followed using MB-SWIFT fMRI. The aims were to investigate how the fMRI response of the amygdala changes whilst changing the stimulation angle in the IL, and to detect the effects in resting-state functional connectivity when sustained 130 Hz stimulation of the IL at the most effective stimulation angle is used. The fMRI response of the amygdala showed dependence on the stimulation angle and inter-animal variation, which can be exploited for optimizing the stimulation effects. |
| 1034
|
17:05
|
Gaining insight into the neural basis of resting-state fMRI signal |
| Zilu Ma1,2, Qingqing Zhang1, Wenyu Tu3, and Nanyin Zhang1,3 | ||
1Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, United States, 2National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, United States, 3The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States |
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Keywords: Multimodal, fMRI (resting state), Awake, Calcium fiber photometry, BOLD Understanding the relationships between neuronal, vascular and Blood oxygenation level-dependent (BOLD) signals is essential for the appropriate interpretation of functional magnetic resonance imaging (fMRI) results in relation to the corresponding neuronal activity. In this study, we utilized multimodal imaging technique that concurrently measures BOLD fMRI and calcium-based fiber photometry signal to examine the relationship between BOLD and neural spiking activity in awake rats. Our results demonstrated significant correspondence between the BOLD and calcium signals at both evoked and resting state, suggesting critical role of spiking activity in the neural mechanism underlying BOLD signal. |
| 1035
|
17:13
|
Interrogation of resting-state effective connectivity by whole-brain fMRI with optogenetic silencing |
| Hyun Seok Moon1,2,3, Thanh Tan Vo1,2,3, and Seong-Gi Kim1,2,3 | ||
1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
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Keywords: Brain Connectivity, fMRI Mapping resting-state effective connectivity by cortical optogenetic activation of inhibitory neurons in mice |
| 1036 | 17:21
|
Optogenetic modulation of the mouse default mode network with a single tapered fiber |
| Elizabeth de Guzman1, Barbara Spagnolo2, Filippo Pisano2, Marco Pisanello2, Alberto Galbusera1, Luigi Balasco3, Yuri Bozzi3, Massimo De Vittorio2,4, Tommaso Fellin5, Ferruccio Pisanello2, and Alessandro Gozzi1 | ||
1Functional Neuroimaging Lab, Istituto Italiano di Tecnologia, Rovereto, Italy, 2Center for Biomolecular Nanotechnologies, Istituto Italiano di Tecnologia, Arnesano (Lecce), Italy, 3Center for Mind/Brain Sciences (CiMEC), University of Trento, Rovereto, Italy, 4Dipartimento di Ingegneria dell’Innovazione, Università del Salento, Lecce, Italy, 5Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy |
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Keywords: Brain Connectivity, fMRI, preclinical, functional connectivity, neural oscillations, DMN The default mode network (DMN) is a distributed functional system of the human brain widely studied with fMRI due to its involvement in advanced cognitive processes and its dysregulation in a variety of brain disorders. Causal perturbations of this network in physiologically accessible species are critically required to probe its circuit organization and the underpinnings of its (dys)function. Here we show that tapered fiber optogenetic technology enables the reliable stimulation of key DMN nodes in a frequency dependent fashion, overcoming the limitations of traditional optogenetic approaches. |
| 1037 | 17:29
|
Optogenetic fMRI reveals neural adaptation properties beyond local olfactory circuits |
| Teng Ma1,2,3, Xunda Wang1,2, Linshan Xie1,2, Junjian Wen1,2, Pit Shan Chong4, Peng Cao3, Lee Wei Lim4, Ed X. Wu1,2,4, and Alex T. L. Leong1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China |
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Keywords: Brain Connectivity, Neuroscience Olfactory adaptation due to repeated odor cues has been studied extensively by fMRI or electrophysiology studies in several primary olfactory regions (i.e., anterior olfactory nucleus, AON, and piriform cortex, Pir). However, the modulatory role of other primary olfactory regions (e.g., amygdala and entorhinal cortex) and their integrations with high-order olfactory regions during olfactory adaptation is likely underestimated due to the documented weak and unstable responses at regions beyond AON and Pir with conventional presentation of odor stimuli. Here, we deployed an optogenetic fMRI approach to improve sensitivity in detecting olfactory responses and examine their adaptation at the systems level. |
| 1038 | 17:37
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Circadian influence on brain connectivity revealed by resting-state fMRI in awake mice |
| Muditha Bandara Rathnayaka1, Rui Yang1, Yeison Rodriguez1, Janaka Wansapura1, and Nan Li1 | ||
1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Brain Connectivity, fMRI (resting state), Circadian rhythm Circadian rhythms control almost all our vital physiology and cognitive functions. Disruptions of circadian rhythms are also reported in multiple neuropsychiatric disorders. However, the neural network-level study of the circadian system in vivo has been understudied. Here we use awake mice resting-state fMRI to characterize the functional connectivity changes at different time points in the circadian cycle. Our results indicate that circadian oscillations can alter the functional connectivity across the brain with various changes depending on the local circuits. Particularly, the midbrain dopaminergic system showed a trend of stronger connectivity to the cortex at night compared to the morning. |
| 1039 | 15:45
|
Towards microstructure-informed QSM: A digital phantom study |
| Anders Dyhr Sandgaard1, Valerij G. Kiselev2, Noam Shemesh3, and Sune Nørhøj Jespersen1,4 | ||
1Center for functionally integrative neuroscience, department of clinical medicine, Aarhus University, Aarhus, Denmark, 2Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 3Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 4Department of Phsysics and Astronomy, Aarhus University, Aarhus, Denmark |
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Keywords: Susceptibility, Quantitative Susceptibility mapping Magnetic susceptibility can provide valuable information about chemical composition and microstructural organization in tissues. However, its estimation from the MRI signal phase is particularly difficult, as it depends on both magnetic tissue properties on all length scales. Here we investigate the feasibility of inverting our recently presented model of WM magnetic microstucture to estimate susceptibility. This is done on a digital brain phantom based on actual dMRI measurements of an ex-vivo mouse brain at ultra-high field. |
| 1040 | 15:53
|
The impact of white matter microstructure with multi-fiber populations on gradient-echo frequency maps and QSM |
| Lin Chen1,2, Deng Mao3, Guillaume Gilbert4, Maarten Versluis5, Peter van Zijl1,2, and Xu Li1,2 | ||
1Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3MR Clinical Science, Philips Healthcare, Baltimore, MD, United States, 4MR Clinical Science, Philips Healthcare, Mississauga, ON, Canada, 5MRI Clinical Science, Philips Healthcare, Best, Netherlands |
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Keywords: Microstructure, White Matter A hollow cylinder fiber model (HCFM) with two orientation-dispersed fiber populations was used to characterize white matter microstructure-based susceptibility effects. The resulting TE-dependent frequency shifts were fitted with a curve function parameterized by a microstructure induced frequency difference (Δf) and bulk susceptibility induced frequency shift (Cf). Local frequency and QSM reconstruction using the fitted Cf versus using weighted echo averaging were compared by a head phantom and in vivo human brain data. Δf provided a useful contrast to illustrate the underlying white matter microstructure and Cf helped to improve the quantification accuracy of tissue magnetic susceptibility using QSM. |
| 1041 | 16:01
|
Superconducting Quantum Interference Device (SQUID-) Based Susceptometry as a Reference Measurement for Quantitative Susceptibility Mapping |
| Gregory Simchick1,2, Ronald T Wakai2, Roland Fischer3, Oswaldo Baffa2,4, Kevin Pratt5, Doug Paulson5, Scott B Reeder1,2,6,7,8, and Diego Hernando1,2 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 4Physics, University of Sao Paulo, Ribeirao Preto, Brazil, 5Tristan Technologies, Inc, San Diego, CA, United States, 6Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 8Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Validation, Susceptibility Many quantitative susceptibility mapping (QSM) studies lack independent reference measurements of susceptibility (χ) for validation. In this work, superconducting quantum interference device (SQUID-) based susceptometry and QSM data were acquired for phantoms with varying manganese chloride (MnCl2) concentrations. χSQUID demonstrated low uncertainty and excellent agreement with the nominal susceptibility values. χQSM and R2* agreed relatively well with the nominal values and previously published results. However, χQSM demonstrated higher uncertainty in comparison to χSQUID. SQUID susceptometry has the potential to identify sources of bias and variability in QSM methods by serving as an independent reference measurement of susceptibility. |
| 1042 | 16:09
|
Constrained Dipole Inversion Using Jointly Learned Local Field and Susceptibility Priors |
| Xi Peng1 | ||
1Mayo Clinic, Rochester, MN, United States |
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Keywords: Susceptibility, Quantitative Susceptibility mapping The inversion of tissue magnetic susceptibility from a single-orientation phase measurement is an ill-posed problem. In this work, we propose a novel learning-based constrained reconstruction to integrate the jointly learned tissue field and susceptibility priors with the physics-based dipole inversion formalism such that the non-Gaussian model biased caused by the substantial errors in the estimated tissue field and the streaking artifacts in the tissue susceptibility can be effectively reduced. An efficient solver was also developed to solve the optimization problem. We demonstrated the superior performance of the proposed method over the state-of-the-art dipole inversion method using in vivo datasets. |
| 1043 | 16:17
|
Harmonic Field Extension for QSM with Reduced Spatial Coverage using Physics-informed Generative Adversarial Network |
| Siyun Jung1, Soohyun Jeon1, and Dong-Hyun Kim1 | ||
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of |
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Keywords: Susceptibility, Quantitative Susceptibility mapping Acquisition of whole brain Quantitative Susceptibility Mapping (QSM) is time-consuming that requires the patient’s effort. On the other hand, limiting the QSM field-of-view to only the region of interest (e.g., deep grey matter) can shorten scan time and lessen the patient’s burden. However, reducing spatial coverage degrades conventional background field removal performance, resulting in an underestimation of susceptibility values. To overcome these limitations, we propose a harmonic field extension method using a physics-informed generative adversarial network. According to the experimental results, the proposed method significantly improves the accuracy of both the local field and QSM at reduced spatial coverage. |
| 1044 | 16:25
|
Region-of-Interest Based Statistical Analysis of the 2019 QSM Challenge |
| Patrick Fuchs1, Carlos Milovic2, and Karin Shmueli1 | ||
1Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2School of Electrical Engineering, Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile |
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Keywords: Susceptibility, Quantitative Susceptibility mapping Since its inception, the most recent QSM challenge and corresponding dataset have helped to improve dipole-inversion algorithms. To date, only global metrics have been used to evaluate performance of these algorithms. Typically, in clinical applications of QSM, the susceptibility value in a specific brain region or structure is of interest. Therefore, we compared the accuracy of QSM algorithms in 28 regions in several ways including regional metrics and median differences, which is important to facilitate clinical translation of QSM. We found that, according to regional metrics, some direct QSM methods are surprisingly accurate considering their low global scores. |
| 1045 | 16:33
|
In-vivo delineation of fine structures in the human brain using high resolution deep learning-powered chi-separation |
| Sooyeon Ji1, Juhyung Park1, Hyeong-Geol Shin2,3, Minjun Kim1, and Jongho Lee1 | ||
1Department of Electrical Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Keywords: Susceptibility, Data Processing Fine structures in the human brain are delineated in the positive and negative susceptibility maps reconstructed in less than 25 min of scan time. The reconstruction pipeline consists of four deep learning networks, each of which performs multi-echo denoising, QSM reconstruction, χ-separation, and super-resolution. The reconstructed maps delineate two laminar structures within globus pallidus, the fibers of internal capsule, and nigrosome structures in the substantia nigra. |
| 1046 | 16:41
|
Fast Submillimeter QSM for Simultaneous QSM/MRSI of the Brain at 7T |
| Rong Guo1,2, Yudu Li2,3, Yibo Zhao2,4, Aaron Anderson2, Pallab Bhattacharyya5, Mark Lowe5, Yao Li6, Brad Sutton2,3,4,7,8, and Zhi-Pei Liang2,3,4 | ||
1Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 6School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 7Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 8Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Susceptibility, Quantitative Susceptibility mapping The feasibility of simultaneous QSM and MRSI has been recently demonstrated using SPICE. But the resolution of QSM obtained by SPICE at 7T is limited to only 3 mm due to bandwidth requirements. To overcome the resolution limitation, this work proposes a fast acquisition sequence for high-resolution encoding, and a model-based method to reconstruct from sparse sampling. As a result, submillimeter QSM can be achieved within only 1 minute, which enables simultaneous QSM (at 0.8 mm) and MRSI (at 3.0 mm) in an 8-minute scan at 7T. |
| 1047
|
16:49
|
A Deep learning informed Polynomial Fitting Approach for Electrical Properties Tomography |
| Kyu-Jin Jung1, Thierry G.Meerbothe2,3, Chuanjiang Cui1, Mina Park4, Jaeuk Yi1, Cornelis A.T. van den Berg2,3, Dong-Hyun Kim1, and Stefano Mandija2,3 | ||
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 3Computational Imaging Group for MR Therapy and Diagnostics, UMC Utrecht, Utrecht, Netherlands, 4Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of |
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Keywords: Electromagnetic Tissue Properties, Electromagnetic Tissue Properties This work presents a neural network informed fitting approach for conductivity reconstructions in MR-Electrical Properties Tomography. First, an artificial neural network is used to predict weights from T2-weighted images. These weights are used in a weighted fitting approach to calculate polynomial coefficients that parametrize the phase map. The conductivity is finally reconstructed from these coefficients. The reconstruction approach is tested on simulated data and in-vivo data and shows more accurate results than conventional fitting methods. |
| 1048 | 16:57
|
In silico brain data in ADEPT, A Database for MR-Electrical Properties Tomography applications |
| Thierry G. Meerbothe1,2, Cornelis A.T. van den Berg1,2, and Stefano Mandija1,2 | ||
1Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR Therapy and Diagnostics, UMC Utrecht, Utrecht, Netherlands |
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Keywords: Electromagnetic Tissue Properties, Electromagnetic Tissue Properties This work presents ADEPT, A Database for MR-Electrical Properties Tomography applications. ADEPT is an open database that contains simulated MRI field data from electromagnetic simulations on brain models with and without tumor inclusion for EPT reconstructions. These data can serve as common ground to benchmark EPT reconstruction methods developed in different centers and will alleviate the computational burden for the creation of simulated data for training data-driven EPT methods. In the future, the database will be openly accessible and will be extended with phantom and in-vivo data. Other centers are also encouraged to share their data. |
| 1049 | 17:05
|
Probing underlying biophysical mechanisms of electrical properties change by pathogenesis at the microscopic cellular level |
| Henghui Liu1, Guofang Xu1, Yinhao Ren1, Feng Liu2, Xiang Nan3, and Jijun Han1 | ||
1School of Biomedical Engineering, Anhui Medical University, Hefei, China, 2School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia, 3Department of Anatomy, Anhui Medical University, Hefei, China |
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Keywords: Electromagnetic Tissue Properties, Liver Magnetic resonance electrical properties tomography provides a non-invasive approach to extracting pixel-wise electrical properties by B1 field mapping. However, there is a void in our understanding of the underlying biophysical mechanism of electrical properties changes accompanied by pathogenesis at the microscopic cellular level. In this work, we build a microscopic tissue model to study fatty liver disease, which focuses on exploring the relationship between fat fraction and electrical properties. Our findings could bridge microscopic lesions and pixel-wise EPT images and may offer a novel strategy for retrieving electrical properties via fat quantification techniques such as Dixon directly. |
| 1050
|
17:13
|
Imaging of Irradiation Effects in Brain Tissues by Electrical Conductivity Using MRI |
| Nitish Katoch1, Bup Kyung Choi1, Ji Ae Park2, Tae Hoon Kim3, Young Hoe Hur4, Jin Woong Kim5, and Hyung Joong Kim1 | ||
1Department of Biomedical Engineering, Kyung Hee University, Seoul, Korea, Republic of, 2Division of Applied RI, Korea Institute of Radiological and Medical Science, Seoul, Korea, Republic of, 3Medical Convergence Research Center, Wonkwang University Hospital, Iksan, Korea, Republic of, 4Department of Hepato-Biliary-Pancreas Surgery, Chonnam National University Medical School, Gwangju, Korea, Republic of, 5Department of Radiology, Chosun University Hospital and Chosun University College of Medicine, Gwangju, Korea, Republic of |
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Keywords: Electromagnetic Tissue Properties, Electromagnetic Tissue Properties, Electrical Conductivity, MREPT, Radiation Therapy, High-field MRI Radiation-induced injury can damage normal tissues caused by unintentional exposure to ionizing radiation. Image-based evaluation of tissue damage by irradiation has an advantage for the early assessment of therapeutic effects. This study aims to non-invasively evaluate tissue response following radiation therapy in phantoms and in vivo mouse brains at 3T and 9.4T MRI scanner. Due to changes in ionic strength in tissue after radiation, magnetic resonance (MR)-based electrical properties tomography could be a suitable imaging tool to assess the radiation therapy response on biological tissues. |
| 1051 | 17:21
|
Tissue orientation effects on T2 relaxation in fresh and fixed spinal cord white matter |
| Michelle Medina1,2,3, Lara Bartels1,2,3, Jonathan Doucette1,2,3, Andrew Yung4, Kirsten Bale4, Piotr Kozlowski4,5, Christoph Birkl4,6, and Alexander Rauscher1,2,3,7 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2UBC MRI Research Center, Vancouver, BC, Canada, 3Pediatrics, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, Vancouver, BC, Canada, 5Radiology and Urologic Sciences, University of British Columbia, Vancouver, BC, Canada, 6Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria, 7Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Microstructure, White Matter, Relaxometry In this study, we investigated the orientation dependence of T2 in fresh and fixed spinal cord white matter (WM). Scans from three pig spinal cord tissues were acquired at 7T at 6 different orientations with respect to the main magnetic field. We found a considerable orientation dependence in the short fraction relaxation rate R2 (=1/T2) in fresh WM as opposed to a weak orientation effect in fixed WM. To our knowledge, this is the first direct comparison of orientation dependence in a WM tissue sample in the fresh and fixed state. Orientation dependence was not observed in long fraction R2. |
| 1052
|
17:29
|
Multi-center, multi-vendor validation of PDFF-R2* mapping in an Optimized Fat-Iron Phantom |
| Jitka Starekova1, David Rutkowski2, Won C Bae3, Hung Do4, Ananth Madhuranthakam5, Vadim Malis3, Sujoy Mukherjee5, Sheng Qing Lin5, Suraj Serai6, Takeshi Yokoo5, Scott B Reeder1,7,8,9,10, Jean H Brittain2, and Diego Hernando1,8 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Calimetrix, Madison, Wisconsin, Madison, WI, United States, 3Radiology, University of California, San Diego, San Diego, CA, United States, 4Canon Medical Systems, Tustin, CA, United States, 5Radiology, UT Southwestern, Medical Center, Dallas, TX, United States, 6Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 7Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 8Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 9Medicine, University of Wisconsin-Madison, Madison, WI, United States, 10Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Validation, Phantoms Reliable, quantitative assessment of fat and iron is important in the management of chronic liver diseases. Confounder-corrected chemical-shift-encoded (CSE)-MRI estimates proton-density fat-fraction (PDFF) and R2* as quantitative biomarkers for fat and iron, which have been shown to be highly reproducible across centers, field strengths and manufacturers. However, reproducibility in the setting of concomitantly high levels of fat and iron is poorly understood. To ensure the fidelity of CSE-MRI in clinical routine, a validation study was performed under controlled conditions on a phantom that modulates fat and iron simultaneously. Excellent multi-center and multi-vendor reproducibility of CSE-MRI PDFF and R2* was found. |
| 1053
|
17:37
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Histological validation of myelin-sensitive MRI metrics in the common marmoset |
| Christopher D Rowley1,2, Daryan Chitsaz2, Ilana R. Leppert1, Jennifer S.W. Campbell1, Stephen Nuara3, Timothy E. Kennedy2, G. Bruce Pike4, and Christine L. Tardif1,2,5 | ||
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada, 2Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 3Comparative Medicine and Animal Resources Center, McGill University, Montreal, QC, Canada, 4Hotchkiss Brain Institute and Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, AB, Canada, 5Department of Biomedical Engineering, McGill University, Montreal, QC, Canada |
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Keywords: Validation, Brain, Marmoset Several studies have compared myelin-sensitive MRI maps to myelin staining to demonstrate the degree of correlation of the MRI metric with myelin content. This study in the common marmoset compares six myelin-sensitive MRI metrics acquired in vivo to stains for myelin, cell nuclei, and ferritin. T2*-based myelin water fraction (MWF) and inhomogeneous magnetization transfer saturation (ihMTsat) presented the greatest specificity for myelin content, with ihMTsat having a higher signal in grey matter regions. T1w/T2w had the strongest correlation with the iron-storage protein ferritin, and T2* presented the greatest correlation with the cell nuclei stain. |
| 1054 | 15:45
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First in vivo results with a modular system of flexible coil arrays for 3 T MRI (ModFlex) |
| Lena Nohava1, Michael Obermann1, Roberta Frass-Kriegl1, Onisim Soanca1, and Elmar Laistler1 | ||
1High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria |
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Keywords: RF Arrays & Systems, RF Arrays & Systems Form-fitting radiofrequency coil arrays have the potential to enhance the signal-to-noise ratio, enable faster imaging and improve patient comfort in MRI. We developed a flexible modular coil array system for 3T MRI (ModFlex) with 16 receive channels. In neck, spine, ankle and hip imaging, we measured an SNR gain for 4 out of 6 anatomical target regions and similar SNR for 2 out of 6 as compared to commercial reference coils. The coil’s versatility is beneficial for different use cases with varying subject sizes. |
| 1055
|
15:53
|
The FACE: Flexible Array for Cervical & Extraspinal 3T MR Imaging |
| Frederik Abel1, Ek T. Tan1, Martijn Lunenburg2, Carel van Leeuwen2, Thijs van Hooren2, Mark van Uden2, Catalina Arteaga2, Jana Vincent3, Fraser Robb3, Darren R. Lebl1, and Darryl B. Sneag1 | ||
1Hospital for Special Surgery, New York, NY, United States, 2Tesla Dynamic Coils, Zaltbommel, Netherlands, 3GE HealthCare, Aurora, OH, United States |
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Keywords: RF Arrays & Systems, RF Arrays & Systems Conventional cervical coils lack the flexibility to closely conform to the inherently curved neck region, particularly at its head/shoulder junctions. High SNR imaging of the c-spine and extraspinal soft tissues (including small peripheral nerves) relies on close proximity of receive elements to these targeted structures. This study evaluates the performance of a novel, conformal, 23-channel Flexible Array for Cervical & Extraspinal (FACE) 3T MR Imaging with increased flexibility to enhance image quality and SNR compared to conventional coils. SNR measurements on phantoms and high resolution 2D and 3D in vivo c-spine and peripheral nerve neck imaging were performed at 3T. |
| 1056
|
16:01
|
A 32-Channel 3D-Printed-Loop Receive Array with Direct High-Impedance Preamplifiers for Brain Imaging at 7T |
| Paul-François Gapais1,2, Michel Luong3, Eric Giacomini1, Alexandre Vignaud1, François Nizery4, Gabriel Maitre4, Sajad Hosseinnezhadian2, Marc Dubois2, Elodie Georget2, and Alexis Amadon1 | ||
1BAOBAB, Université Paris-Saclay/CEA/Joliot/NeuroSpin, GIF-SUR-YVETTE, France, 2Multiwave Imaging SAS, Marseille, France, Metropolitan, 3DACM, Université Paris-Saclay/CEA/IRFU, GIF-SUR-YVETTE, France, 4LCAP, CEA/DRF/IRFU/DIS, GIF-SUR-YVETTE, France |
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Keywords: RF Arrays & Systems, RF Arrays & Systems, Coil A fully customized 32-channel receive array has been designed, fabricated and evaluated using MR experiments at 7T. The design is made of non-geometrically decoupled loops arranged in two layers of large and small loops. Copper loops are 3D printed from additive manufacturing, preamplifiers are home-built, and an easy implementation procedure is proposed. Receive array performances shows SNR comparable to the Nova Medical reference coil while being superior at the top of the coil and for parallel imaging accelerated in the vertical direction. |
| 1057
|
16:09
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An Open 60-channel Tx/ 32-channel Rx RF Coil System for Routine Use at 7T |
| Andrea N Sajewski1, Tales Santini1, Anthony DeFranco1, Boris Keil2, Hecheng Jin1, Jacob Berardinelli1, Jinghang Li1, Cong Chu1, Tiago Martins1, and Tamer S Ibrahim1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States, 2Institute of Medical Physics and Radiation Protection, TH Mittelhessen University of Applied Sciences, Giessen, Germany |
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Keywords: New Devices, Neuro A 60-channel transmit array for 7T neuro MRI was implemented using the Tic-Tac-Toe coil design. The transmit coil and the receive insert are open in the front to promote patient comfort and reduce claustrophobia. By performing RF shimming on three head models, we optimized the coil for a range of ages and head sizes/shapes for use in sTx mode. Simulations, experimental B1+ maps and in-vivo images demonstrate consistency across subjects, showing extended coverage into the temporal lobe, cerebellum, brainstem and C5-C6 spinal cord segments. High quality images are currently being acquired using this coil in over 30 human studies. |
| 1058 | 16:17
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Evaluation of Coupling between A 32-channel Sleeve Antenna Receiver Array to A 16-channel Loop Transmitter for The Human Head Imaging at 10.5 T |
| Myung Kyun Woo1, Lance DelaBarre2, Matt Waks2, Steve Jungst2, Pat Nguyen2, Russell Lagore2, Andrea Grant2, Joo Yoon Jang1, Alireza Sadeghi-Tarakameh2, Yigitcan Eryaman 2, Kamil Ugurbil2, and Gregor Adriany2 | ||
1University of Ulsan, Ulsan, Korea, Republic of, 2Center for Magnetic Resonance Research, Minneapolis, MN, United States |
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Keywords: RF Arrays & Systems, RF Arrays & Systems We evaluated in simulation and experimentally the effects that the insertion of a 32-channel sleeve antenna receiver array has on the B1+ and SAR performance of a 447 MHz/10.5 T 16-channel loop transmitter array. For this we carefully developed accurate models of both the 16-channel loop transmitter and the 32-channel sleeve antenna receiver, compared simulated with experimental B1+ and evaluated the expected SAR efficiency of the 16-channel loop transmitter array with and without the 32-channel sleeve antenna receiver array insert. |
| 1059 | 16:25
|
128-channel brain imaging array with improved acceleration at 10.5 Tesla |
| Russell Luke Lagore1, Andrea Grant1, Lance DelaBarre1, Edward J Auerbach1, Matt Waks1, Steve Jungst1, Steen Moeller1, Jerahmie Radder1, Alireza Sadeghi-Tarakameh1, Yigitcan Eryaman1, Pierre-Francois Van de Moortele1, Gregor Adriany1, and Kamil Ugurbil1 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Keywords: RF Arrays & Systems, RF Arrays & Systems Described is a 128-channel receive (Rx) array for 10.5T brain imaging, comprised of 120 small Rx loops and 8 of the 16 transmitter elements used as receivers. The coil is compared to another 10.5T 64-Rx array and to 7T 32- and 64-Rx arrays. The principal benefit for the same field strength was improved parallel imaging. Secondarily, important engineering innovations are demonstrated to suppress transmit/receive interactions and optimize transmit efficiency. Modest improvements to peripheral SNR were achieved for the 10.5T 128-Rx over 64-Rx array. A 50% improvement in central SNR was realized with the use of transmitter elements as receivers. |
| 1060 | 16:33
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Performance Evaluation of a 128-Channel head-only Receiver array at 7 Tesla |
| Bernhard Gruber1,2,3, Jason P. Stockmann1,4,5, Azma Mareyam1, Yulin Chang6, Boris Keil7, Berkin Bilgic1,4, Alexander Beckett8,9, David A. Feinberg8,9, and Lawrence L. Wald1,4,5 | ||
1A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria, 3BARNLabs, Muenzkirchen, Austria, 4Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 6Siemens Medical Solutions USA Inc., Malvern, PA, United States, 7Department of Life Science Engineering, Institute of Medical Physics and Radiation Protection, Mittelhessen University of Applied Sciences, Gießen, Germany, 8Advanced MRI Technologies, Sebastopol, CA, United States, 9Helen Wills Neusoscience Institute, University of California, Berkeley, CA, United States |
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Keywords: RF Arrays & Systems, RF Arrays & Systems The performance of a 128-channel Rx-only 7T brain array was evaluated using simulations and measurements. SNR and g-factor maps show a significant performance increase for highly accelerated imaging in cortical areas from a combination of improved peripheral unaccelerated SNR and g-factor. Measured SNR in cortical areas increased by 42% from 32- to 128-ch and 18% from 64- to 128-ch. The 1/g-factor maps show an improved mean and a tighter distribution, with both effects becoming more pronounced at higher accelerations. At 6x2-fold the 128-channel array has 17.9% g-factor benefit over the 64-ch, and a 48.2% benefit over the 32-ch array. |
| 1061 | 16:41
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Evaluation of Coaxial Dipole Antennas as Transceiver Elements of Human Head Array for Ultra-High Field MRI at 9.4T |
| Georgiy Alekseevich Solomakha1, Dario Bosch 1,2, Klaus Scheffler1,2, and Nikolai Ivanovich Avdievich 1 | ||
1High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Department for Biomedical Magnetic Resonance, University of Tübingen, Tuebingen, Germany |
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Keywords: RF Arrays & Systems, RF Arrays & Systems Arrays of dipole antennas were recently introduced as transceiver RF coils for human head imaging at UHF as a simple and robust alternative to loop arrays. Due to the head size, dipoles should be significantly shorter than λ/2 at working frequency. Short dipoles suffer from high SAR and insufficient brain coverage. In addition, since head arrays are usually placed on rigid holders, the resonance frequency of dipoles change drastically with head size variation. In this work, we developed a coaxial dipole array for human head imaging at 9.4T. The developed coil provides whole-brain coverage, low SAR, and low frequency variation. |
| 1062 | 16:49
|
3 Tesla 31P/1H Calf Muscle Coil for 1H and 31P MRI / MRS integrated with NIRS |
| Bei Zhang1, Daniel Lowrance1, David Zaha1, Manoj Kumar Sarma1, Michael Douglas Nelson2, and Anke Henning1 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2The University of Texas at Arlington, Arlington, TX, United States |
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Keywords: Non-Array RF Coils, Antennas & Waveguides, Skeletal, 31P/1H Dual-tuned, NIRS In this work, we present a 3T 31P/1H calf coil with two interleaved and co-centered birdcages in one layer to provide homogenous transmit fields and good SNR for both 31P and 1H nuclei. In addition, the coil design allows for integration of a Near-infrared spectroscopy (NIRS) probe for simultaneous NIRS and MRI readouts during exercise. Simulation and phantom experimental results show that the coil provides homogeneous transmit and receive fields. In vivo experiment show that the coil provide good SNR for both 31P MRS and 1H MRI and MRS |
| 1063 | 16:57
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In vivo performance of a wearable coil vest for 3 T breast MRI (BraCoil) |
| Michael Obermann1, Lena Nohava1, Roberta Frass-Kriegl1, Onisim Soanca1, Jean-Christophe Ginefri2, Jacques Felblinger3, and Elmar Laistler1 | ||
1High Field MR Center, Medical University of Vienna, Vienna, Austria, 2Laboratoire d’Imagerie Biomédicale Multimodale Paris Saclay (BioMaps), CEA, CNRS, Inserm, Université Paris-Saclay, Paris-Saclay, France, 3IADI, Inserm, Université de Lorraine, Nancy, France |
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Keywords: New Devices, RF Arrays & Systems Recently, we introduced the “BraCoil”, a wearable coil for prone and supine breast imaging designed to overcome several shortcomings in clinical breast MRI. Here, we present in vivo performance tests on 12 volunteers with different breast volumes ranging from 495 mL (bra size 70A) to 3020 mL (90D). SNR gain up to a factor of three over a commercial breast coil was found. Acceleration factors up to 6x4 can be used with reasonable g-factors. High-quality in vivo images with different contrasts are presented. |
| 1064 | 17:05
|
A radiofrequency coil for infants and toddlers |
| Kyle M Gilbert1,2, Emily S Nichols3,4, Joseph S Gati1,2, and Emma G Duerden3,4,5 | ||
1Centre for Functional and Metabolic Mapping, Western University, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada, 3Applied Psychology, Western University, London, ON, Canada, 4Western Institute for Neuroscience, Western University, London, ON, Canada, 5Department of Pediatrics, Western University, London, ON, Canada |
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Keywords: RF Arrays & Systems, RF Arrays & Systems This abstract presents an adjustable RF coil designed for imaging three-month-old infants to three-year-old toddlers, where motion and variance in head size can be detrimental to image quality. The coil is designed with an open face to allow for the use of camera or motion tracking systems. The tailored RF coil produced higher SNR and lower geometry factors than adult coils. Accelerated protocols can now be combined with prospective motion correction, thereby improving the success rate of imaging infant and toddler populations. |
| 1065 | 17:13
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Inflatable RF Coil with Liquid Metal for MR Imaging |
| Sri Kirthi Kandala1, Kwanjoon Song2, and Sung-Min Sohn1 | ||
1Arizona State University, Tempe, AZ, United States, 2Yonsei University, Gangwon-do, Korea, Republic of |
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Keywords: Non-Array RF Coils, Antennas & Waveguides, New Devices, Liquid metal RF coil In this work, we present a novel inflatable radio-frequency receive coil for Magnetic Resonance Imaging at 7T. A small sample was imaged with and without inflation, and the overall signal-to-noise ratio of the sample was improved by 12.7% in dB with inflation. This coil design will offer many opportunities in the field of endorectal imaging, imaging for irregular sample shapes, and reducing motion artifacts. Inflation also changes the tuning and matching conditions, which compensate for loading effects by precisely adjusting the air volume inside the cavity. |
| 1066 | 17:21
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Feasibility Study for Wireless RF Coil: Wireless transfer of 8ch MR received data using body array coil and system clock |
| Kazuya Okamoto1, Sojuro Kato2, Mark Spring3, Yoshinori Hamamura4, Daisuke Horio5, Yu Tanaka5, Shun Sugimoto5, and Kazunari Watanabe5 | ||
1MRI Systems Development Department, CANON Medical Systems Corporation, Kawasaki, Japan, 2CANON Medical Systems Corporation, Kawasaki, Japan, 3Platform Technology, Canon Medical Research USA Inc., Vernon Hills, IL, United States, 4MRI Systems, Canon Medical Research USA Inc., Mayfield Village, OH, United States, 5Digital Business Platform Development Headquarters, Canon Inc., Tokyo, Japan |
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Keywords: RF Arrays & Systems, RF Arrays & Systems, wireless We prototyped a new acquisition board (NAB) equipped with wireless signal transmission modules, and connected it to the reception RF coil and the scanner system. The configuration enabled that the transmission of the 8-ch reception signal data from the RF coil and the system clock was carried out between boards wirelessly. Finally, two-dimensional SE images were obtained without deterioration in image quality. |
| 1067 | 17:29
|
Digital Synthesis at the Coil in a WiFi-enabled Modular Switch Mode RFPA Platform for Gradient-Free Imaging |
| N Reid Bolding1, Chris Vaughn2, Aria Patel1, Snow Lin1, Andrew Dupuis1, William A Grissom2, and Mark A Griswold1 | ||
1Case Western Reserve University, Cleveland, OH, United States, 2Vanderbilt University, Nashville, TN, United States |
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Keywords: RF Arrays & Systems, Low-Field MRI, Gradient Free Imaging We present here the development of a wireless flat amplitude 2 MHz radiofrequency transmitter for under $100, focusing on the pulse synthesis stage. We gave special consideration to simplifications that can be made with high speed digital synthesis and switch mode amplifier topology. This is a component of a distributed transmit receive system, meeting the special requirements of gradient free low field quantitative imaging techniques, such as selective encoding through nutation and fingerprinting (SENF). |
| 1068 | 17:37
|
A modular sparse hemispherical transmit/receive phased array for microbubble-mediated MR-guided focused ultrasound brain therapy |
| Ryan M Jones1, Dallan McMahon1, Dallas Leavitt1, Rohan Ramdoyal1, Kang U Lee1, Wai M Kan1, Steven D Yang1, Yi-Shiuan Chen1, Chris Adams1, and Kullervo Hynynen1,2 | ||
1Sunnybrook Research Institute, Toronto, ON, Canada, 2University of Toronto, Toronto, ON, Canada |
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Keywords: New Devices, Focused Ultrasound MRI is commonly employed to assess microbubble-mediated focused ultrasound (FUS) treatment outcomes, but is restricted to post-treatment evaluations due to its low temporal resolution. Here, we describe a modular sparse hemispherical transmit/receive phased array for microbubble-mediated FUS brain therapy and simultaneous 3D passive cavitation imaging (PCI) for real-time intraoperative treatment monitoring and control. The device was evaluated via MR-guided FUS experiments in rabbits. The utility of 3D PCI in calibrating FUS exposure levels and predicting MRI-inferred tissue damage volume distributions resulting from high target level sonications was demonstrated. |
| 1069
|
Pitch: 15:45 Poster: 15:45 Screen 1
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Cardiac Library Based Real-time Imaging (CALIBRI): towards 3D cardiac visualization during MR-guided cardiac interventions |
| Anne Spakman1, Eric M Schrauben1, Renske Merton1, Gustav J Strijkers2, Aart J Nederveen1, Marco JW Götte3, and Bram F Coolen2 | ||
1Department of Radiology & Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Department of Biomedical Engineering & Physics, Amsterdam UMC, Amsterdam, Netherlands, 3Department of Cardiology, Amsterdam UMC, Amsterdam, Netherlands |
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Keywords: Arrhythmia, MR-Guided Interventions, Real-time imaging We propose Cardiac Library Based Real-time Imaging (CALIBRI), which allows the use of the same data for both catheter tracking and real-time visualization of cardiac motion states. This is achieved by matching the acquired k-lines with a library of pre-acquired cardio/respiratory gated 3D CINE data. In this study, we implemented our novel method on a 3T MRI system and showed the feasibility of this approach in multiple healthy volunteers. |
| 1070 | Pitch: 15:45 Poster: 15:45 Screen 2
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Automatic 3D Segmentation of perforating arteries from ultra-high resolution 7T Compressed Sensing MRA images. |
| Qingle Kong1, Zhe Zhang2,3, and Jing Jing2,3,4 | ||
1MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 2Tiantan Neuroimaging Center of Excellence, Beijing, China, 3Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centre for Neurological Diseases, Beijing, China, 4Beijing Tiantan Hospital, Capital Medical University, Neurology Department, Beijing, China |
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Keywords: Vessels, Segmentation, perforating arteries segmentation The evaluation of perforating arteries is important for the diagnosis of small vessel disease. It’s challenging to image perforating arteries because of their small caliber size, which requires an extremely high resolution. Moreover, to determine pathological changes, the vessel trees need to be segmented and quantified. In this study, an automatic 3D Segmentation method was introduced and perforating arteries around the Circle of Willis were segmented and quantified. The number of stems of perforators was counted and compared based on segmentation results and MIPs images. The results revealed that the segmentation method robustly achieved the segmentation of perforators. |
| 1071 | Pitch: 15:45 Poster: 15:45 Screen 3
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Abbreviated Three Minute 4D Flow MRI of the Portal Circulation: Prospective Evaluation in Obese Subjects |
| Thekla Helene Oechtering1,2, AMK Muntasir Shamim3, David Harris4, Nikolaos Panagiotopoulos1,2, Alma Spahic5, Oliver Wieben1,6, Kevin M Johnson1,3, Alejandro Roldán-Alzate1,7,8, and Scott B Reeder1,6,7,8,9 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, USA, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, USA, WI, United States, 4University of Wisconsin-Madison, Madison, USA, WI, United States, 5Department of Medical Physics, University of Wisconsin-Madison, Madison, USA, WI, United States, 6Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 8Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 9Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Flow, Liver Constant, non-pulsatile flow in the portal venous system offers the possibility of time-averaged reconstruction for shortening the acquisition time. We acquired both a 10min and 3min radial 4D flow MRI (PCVIPR) in 10 subjects in a test-retest paradigm. Time-averaged 10min and 3min exams were compared to the reference standard, i.e., cardiac-phase resolved 10min exam (14 timeframes). All datasets were analyzable with quality rated as “good” for all 3min exams. Small vessels were best visualized in the time-averaged 10min data. Conservation of mass analysis and test-retest repeatability yielded excellent results for all reconstructions. Quantitative results agreed well between reconstructions. |
| 1072 | Pitch: 15:45 Poster: 15:45 Screen 4
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Effects of double-ECG gating in synchronized breathing myocardial arterial spin labeling |
| Verónica Aramendía-Vidaurreta1,2, Sergio M. Solís-Barquero1,2, Marta Vidorreta3, Ana Ezponda1,2, Gorka Bastarrika1,2, and María A. Fernández-Seara1,2 | ||
1Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3Siemens Healthineers, Madrid, Spain |
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Keywords: Heart, Perfusion Myocardial perfusion can be quantitatively measured noninvasively using arterial spin labeling (ASL). Motion due to the cardiac cycle is tackled with the use of single- or double-ECG gating. The goals of this study were to investigate the performance of double-gating, in synchronized breathing myocardial ASL with presaturation pulses by comparison with single-gating, and to compare the different quantification strategies for double-gated data. This study showed that double-gating is more robust to heart rate variability than single-gating in synchronized breathing ASL sequences with presaturation pulses, but accurate saturation-recovery fitting requires the acquisition of several baseline images. |
| 1073 | Pitch: 15:45 Poster: 15:45 Screen 5
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Joint Velocity and Acceleration Encoding for Improved Pressure Gradient Mapping in Flow Imaging |
| Michael Loecher1,2, Priya J Nair3, and Daniel B Ennis1,2 | ||
1Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Bioengineering, Stanford University, Stanford, CA, United States |
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Keywords: Flow, Velocity & Flow In this work, we introduce an optimized motion encoding strategy for flow measurements that simultaneously and non-colinearly encodes velocity and acceleration into data phase. This enables velocity-based flow measurements and improves pressure gradient mapping derived from the acceleration data. The method is tested in a stenotic flow phantom, where the proposed method shows good velocity agreement with conventional 4D-flow methods, while also producing improved pressure gradient maps when compared to both 4D-flow and a CFD reference. |
| 1074 | Pitch: 15:45 Poster: 15:45 Screen 6
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DIRECT: non-contrast-enhanced relaxation-based flow-independent intracranial MR angiography using modified REACT |
| Masami Yoneyama1, Takayuki Sakai2, Yasuhiro Goto3, Masanobu Nakamura1, Daichi Murayama2, Michinobu Nagao4, Shuo Zhang5, Kayoko Abe4, Yutaka Hamatani3, Kazuo Kodaira3, Takumi Ogawa3, Mana Kato3, Isao Shiina3, and Marc Van Cauteren6 | ||
1Philips Japan, Tokyo, Japan, 2Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan, 3Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, 4Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan, 5Philips Healthcare, Hamburg, Germany, 6Philips Healthcare, Best, Netherlands |
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Keywords: Vessels, Blood vessels A new non-contrast-enhanced, relaxation-based, flow-independent MRA method, called Relaxation-Enhanced Angiography without ContrasT (REACT) has recently been proposed for vascular imaging. One of the major limitations of REACT is that bright signal of long-T1 fluids such as CSF is visible, which can obscure vascular structure in the intracranial vessels. We developed a new sequence, called DIRECT (Dual-Inversion REaCT) with modified magnetization preparation scheme of REACT to suppress CSF signals while maintain the high signal intensity from vessels. DIRECT enables robust and high-quality whole-brain intracranial MR angiography with uniform fat, CSF and brain parenchyma suppression within clinically feasible scan time. |
| 1075 | Pitch: 15:45 Poster: 15:45 Screen 7
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Automatic identification of Moyamoya disease based on time-of-flight MR angiography |
| Zheng Tan1, Mingming Lu2, Shuai Liu1, Shitong Liu2, Hongtao Zhang2, Xiaoying Tang1, Jianming Cai2, and Fei Shang1 | ||
1Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China, 2Department of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China |
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Keywords: Vessels, Stroke Moyamoya disease (MMD) is a rare chronic progressive cerebrovascular disease that causes strokes. For the diagnosis of MMD, time-of-flight magnetic resonance angiography (TOF-MRA) can be an alternative to digital subtraction angiography (gold standard) owing to its non-invasive and radiation-free attributes. In this study, the deep learning method (ResNet-50) was used for MMD automatic diagnosis on the maximum intensity projection images from 3D TOF-MRA, and five-fold cross-validation was used for validation. The method exhibits the accurate ability (AUC: 0.990 ± 0.008, accuracy: 0.933 ± 0.063) to identify MMD and has the potential to improve the clinical management of MMD. |
| 1076 | Pitch: 15:45 Poster: 15:45 Screen 8
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Toward accurate cerebral blood flow estimation in mice after accounting for anesthesia |
| Zhiliang Wei1,2, Yuguo Li1,2, Adnan Bibic2, Jiadi Xu1,2, and Hanzhang Lu1,2,3 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Flow, Animals CBF measurements in mice were often confounded by the utilizations of anesthesia, which are generally vasoactive. Here, we aimed to systematically understand the relationships between CBF and related physiological factors, not only the anesthesia dose but also respiratory rate (RR), heart rate (HR), and exposure time to anesthesia. We found that CBF measurements in mice were affected by anesthesia dose and time, but can be corrected by using respiratory rate and heart rate. The correction scheme will facilitate applications of CBF measurements in mechanistic understanding of vascular diseases and preclinical therapeutic trials by providing anesthesia-independent CBF measurements. |
| 1077 | Pitch: 15:45 Poster: 15:45 Screen 9
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Comparative analysis of image quality by 3.0 T Non-contrast Free-breathing Whole-heart CMRA with CCTA in patients with coronary artery stenosis |
| Ping Tian1, Ying Liu1, Jianxiu Lian2, Minwen Zheng1, Jingji Xu1, and Jianmin Zheng1 | ||
1Department of Radiology, The First Affiliated Hospital of Air Force Medical University, Xi’an, China, 2Philips Healthcare, Beijing, China |
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Keywords: Vessels, Myocardium, Coronary magnetic resonance angiography Atherosclerotic lesions in coronary vessels cause vascular lumen stenosis or obstruction, resulting in myocardial ischemia, hypoxia or necrosis, which is an important cause of coronary heart disease. This study was designed to evaluate the performance of coronary magnetic resonance angiography(CMRA) sequence in volunteer subjects. The ability visualization of coronary Main Branch segments were no statistically significant difference in MRA coronary quality scores compared with CTA(p＞0.05) with sensitivity, specificity for per patient were 86%, 85%, respectively. The coronary artery visualization by CMRA can be used to detect clinically significant coronary artery stenosis in patients with suspected coronary heart disease. |
| 1078 | Pitch: 15:45 Poster: 15:45 Screen 10
|
Biventricular and Hemodynamic Assessment under Multi-stage Exercise using Real-time CMR |
| Preethi S Chandrasekaran1, Chong Chen2, Yingmin Liu1, Christopher Crabtree3, Syed Murtaza Arshad4, Matthew Tong5, Yuchi Han5, and Rizwan Ahmad2 | ||
1Davis Heart and Lung Research Institute, Ohio State University, Columbus, OH, United States, 2Biomedical Engineering, Ohio State University, Columbus, OH, United States, 3Department of Human Sciences, Ohio State University, Columbus, OH, United States, 4Electrical and Computer Engineering, Ohio State University, Columbus, OH, United States, 5Cardiovascular Medicine, Ohio State University, Columbus, OH, United States |
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Keywords: Heart, Velocity & Flow, Exercise CMR A comprehensive exercise stress cardiovascular MRI (Ex-CMR) was performed in twelve healthy subjects. Biventricular quantification was performed from real-time cine, while hemodynamic parameters in the ascending aorta and main pulmonary artery were estimated using real-time flow. The acquisition process was repeated two to three times at increasing exercise intensities. The highly accelerated (R = 7-8 for cine and R = 16 for flow) real-time data were reconstructed inline using Gadgetron-based compressed sensing reconstruction. In agreement with the literature, the ejection fraction and cardiac output correlated positively with exercise intensity. |
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Dual Venc 5D flow MRI with Increased Velocity Dynamic Range: An in-vitro and in-vivo Validation and Feasibility Study |
| Elizabeth Weiss1, Justin Baraboo1, Liliana Ma1, Mariana B. L. Falcão2, Christopher W. Roy2, Matthias Stuber2, and Michael Markl1 | ||
1Radiology, Northwestern University, Chicago, IL, United States, 2University of Lausanne (CHUV), Lausanne, Switzerland |
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Keywords: Flow, Pulse Sequence Design We illustrate a pilot study of the first implementation of dual-venc 5D flow MRI. We found excellent voxel-wise agreement with single-venc 5D flow in a pulsatile phantom. In two healthy controls, we find good agreement, but identify unexpected aliasing in the dual venc 5D flow which requires further investigation. |
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Acute Effects of Electronic and Tobacco Cigarette Aerosol Inhalation on Vascular Function Detected at Quantitative MRI |
| Marianne Nabbout1, Michael C Langham1, Alessandra S Caporale1,2,3, Wensheng Guo4, and Felix W Wehrli1 | ||
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurosciences, Imaging and Clinical Sciences, G. d’Annunzio University’ of Chieti-Pescara, Chieti, Italy, 3Institute for Advanced Biomedical Technologies (ITAB), G. d’Annunzio University’ of Chieti-Pescara, Chieti, Italy, 4Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Vessels, Blood vessels, Vascular Reactivity, Oxygenation, Blood Velocity To assess the acute effects of tobacco and electronic cigarette inhalation on vascular function, multiple MRI markers were analyzed in a study targeting peripheral, central and neurovascular beds of healthy young subjects. Smokers and vapers (9 subjects for a total N=15 study visits), ages 22 to 45 years, underwent two MRI scans, with a smoking or vaping challenge in between. Data from smoking/vaping challenges were combined to assess for their pooled effect. Smoking/vaping had significant acute effects on peripheral reactivity, notably on the superficial femoral artery flow-mediated dilation, baseline velocity and superficial femoral vein baseline oxygen saturation, among others. |
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3.0T Whole-Heart Contrast‑Enhanced Coronary Magnetic Resonance Angiography Using Ferumoxytol: A Feasibility Study |
| Yuehong Liu1, Bin Sun2, Xinyu Wang1, Chen Zhang3, Xuewei Fan4, Zhenyu Li4, Jing An5, and Qi Yang1 | ||
1Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, Beijing, China, 2Fujian Medical University Union Hospital, Fuzhou, China, 3MR Scientific Marketing, Siemens Healthcare, Beijing, China, 4Central Hospital Affiliated to Xinxiang Medical University, Xinxiang, China, 5Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China |
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Keywords: Vessels, Blood vessels, Ferumoxytol This study suggested the feasibility of combining low-dose ferumoxytol (2.0-3.0 mg/kg) with ECG-triggered, navigator-gated, inversion-recovery prepared, segmented gradient-echo sequence to obtain high-quality sub-millimeter 3D whole-heart CMRA images under free-breathing for approximately 7 mins on MR 3.0T scanner. Compared to gadobenate, ferumoxytol produced more intense and prolonged cardiac vessel enhancement (24-36 hours) Ferumoxytol could help to reduce acquisition time of CMRA while maintaining a high signal-to-noise ratio, great image quality, and clear delineation of the coronary arteries. This study of healthy volunteers also suggested that ferumoxytol-enhanced CMRA has the potential to identify patients without coronary artery disease. |
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Improved Simultaneous Intracranial Vessel Wall Imaging and dynamic MRA Using Low-rank Reconstruction |
| Kaiyu Zhang1, Zhensen Chen2, Yin Guo1, Xin Wang3, Gador Canton4, Niranjan Balu4, Thomas Hatsukami5, Chun Yuan4,6, and Xiaodong Ma6 | ||
1Department of Bioengineering, University of Washington, Seattle, WA, United States, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 3Department of Electrical Engineering, University of Washington, Seattle, WA, United States, 4Department of Radiology, University of Washington, Seattle, WA, United States, 5Department of Surgery, University of Washington, Seattle, WA, United States, 6Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States |
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Keywords: Vessel Wall, Blood vessels Acquiring multi-contrast images of intracranial vessels from one single MRI sequence is beneficial for comprehensive neurovascular disease diagnosis. Vessel wall (VW) images and dynamic MRA (dMRA) can be obtained from a time-efficient multi-contrast sequence named iSNAP. However, the previously adopted k-space sharing reconstruction method generated high-quality dMRA but low-quality VW images. In this study, we aim to develop a novel low-rank-based image reconstruction method to reconstruct VW and dMRA from highly undersampled 4D MRI. High quality VW images with sharper wall delineation are obtained, while hemodynamic information from dMRA is preserved. |
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Free-running 3D-CINE MRI of patients with congenital heart disease using inter-bin compensation of cardiac motion |
| Bastien Milani1, Christopher Roy1, Jean-Baptist Ledoux1, David C. Rotzinger1, Salim Si-mohamed1,2,3, Ambra Masi1, Jerome Yerly1,4, Tobias Rutz1, Milan Prsa1, Jurg Schwitter1, and Matthias Stuber1,4 | ||
1Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2INSA-Lyon, CNRS, Inserm, CREATIS, Université de Lyon,, Villeurbanne, France, 3Louis Pradel Hospital, Hospices Civils de Lyon, Bron, France, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland |
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Keywords: Heart, Cardiovascular, ejection fraction We present in this work a 3D-CINE whole-heart reconstruction that we developed for free-running 3D‑radial fully self-gated acquisitions. The reconstruction is compressed-sensing-based with temporal-total-variation (tTV) regularization, which is known to corrupt or compress motion and to blur moving structures. In order to solve these drawbacks, we regularize by an improved tTV equal to the one-norm of the sum of the motion-corrected-residuals between adjacent frames. While this strategy has already been applied for various trajectories, it has never been applied for 3D-radial in free-running. In this study, we demonstrate quantitatively and qualitatively that this strategy in fact improves image quality. |
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Ferumoxytol Dose Optimization for 3D Whole-Heart Congenital Heart Disease Imaging |
| Sanja Dzelebdzic1, Maher Abadeer1, Gerald Greil1, and Tarique Hussain1 | ||
1Cardiac MRI, Children's Medical Center, UT Southwestern, Dallas, TX, United States |
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Keywords: Heart, Cardiovascular, image quality, ferumoxytol, contrast With its concomitant ability to shorten the T1 relaxivity of blood and long intravascular half-life, ferumoxytol has become a popular “blood pool” contrast agent. The optimum contrast dose is not known. Reducing the ferumoxytol dose to 2 mg/kg is an efficient method to optimize the image quality, diagnostic performance, and achieve reduction in Gibbs’ truncation artefact. |
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Validation of Non-Invasive Relative Pressure Mapping by 4D Flow MRI in Aortic Dissection |
| Brandon K. Hardy1, Judith Zimmermann2, Nicholas S. Burris1,3, Daniel B. Ennis4, David Marlevi5,6, and David A. Nordsletten1 | ||
1Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Dept. of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3Dept. of Radiology, University of Michigan, Ann Arbor, MI, United States, 4Dept. of Radiology, Stanford University, Stanford, CA, United States, 5Dept. Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden, 6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Quantitative Imaging, Blood vessels, Pressure Estimation False lumen (FL) growth rate in type B aortic dissection (TBAD) is correlated with FL pressurization. 4D flow MRI allows for quantitative assessment of three-dimensional flow, including spatial mapping of relative pressure. Despite its promise, 4D flow relative pressure mapping has not yet been validated in a TBAD-specific context. Here, we validate a state-of-the-art proposed Stokes Estimator (STE) of relative pressure against catheter measurements using three physiologically accurate TBAD flow phantoms and subsequently analyze the method’s sensitivity to image noise. STE pressure estimates closely matched catheter data and were robust to noise, indicating STE’s potential for TBAD treatment planning. |
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Investigation of the effect of deep-breathing on the caval circulation in patients with cardiac rhythm disorders using 5D radial Flow MRI |
| Sara Boccalini1, Marta Beghella2, Loic Boussel1,2, Philippe Douek2,3, Philippe Chevalier4, Claudia Prieto5, and Monica Sigovan6 | ||
1Department of Radiology, HCL, Lyon, France, 2CREATIS, Lyon, France, 3Departement of Radiology, HCL, Lyon, France, 4Department of Cardiac Rythm, HCL, Lyon, France, 5School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 6CNRS, CREATIS Lab, Lyon, France |
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Keywords: Quantitative Imaging, Velocity & Flow Respiratory motion effects thoracic blood flow mainly by intrathoracic pressure changes. In addition, deep-inspirations strongly increase the systemic venous return with immediate repercussions on right ventricular stroke volume. Simultaneously, pulmonary resistance is increased leading to decreased inflow in the left chambers, which is compensated in the following heartbeats. In patients with atrial myopathy (ex. atrial fibrillation), these adjustments might be more difficult. Our aim was to assess the impact of deep breathing on hemodynamic parameters in patients with atrial fibrillation, paroxysmal and permanent, and in a healthy population as compared to normal breathing. |
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Motion artifact reduction in self-gated CMR 4D flow imaging under exercise stress |
| Syed Murtaza Arshad1, Chong Chen2, Yingmin Liu3, Preethi Chandrasekaran3, Christopher Crabtree4, Ning Jin5, and Rizwan Ahmad2 | ||
1Department of Electrical & Computer Engineering, The Ohio State University, Columbus, OH, United States, 2Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 3Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, 4Department of Human Sciences, The Ohio State University, Columbus, OH, United States, 5Cardiovascular MR R&D, Siemens Medical Solutions Inc, Columbus, OH, United States |
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Keywords: Flow, Image Reconstruction, 4D Flow Free-breathing self-gated CMR 4D flow imaging using traditional Compressed Sensing (CS) methods invariably contains motion artifacts due to the inaccuracy of self-gating signal. Self-gating signal degrades even further in the case of exercise stress imaging due to excessive movement of the subject. We propose Compressive recovery with Outlier Rejection (CORe) to reduce the motion artifacts. Using data from a 2D digital phantom and 4D flow data under rest and stress conditions, we demonstrate that CORe is effective in suppressing motion artifacts while maintaining agreement with 2D-PC based flow quantification. |
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Evaluation of hemodynamic parameters for prediction of aortic growth in patients with chronic Stanford type B aortic dissection using 4D flow MRI. |
| Satoshi Higuchi1, Hideki Ota1, Ryuichi Mori2, Yuki Ichinoseki2, Hiroki Kamada1, and Kei Takase1 | ||
1Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan, 2Radiology, Tohoku University Hospital, Sendai, Japan |
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Keywords: Flow, Vessels, Aortic Dissection Uncomplicated type B aortic dissection (AD) has a poor long-term outcome and further optimization of predictors for aortic expansion is required. Seventeen patients with chronic type B AD who underwent 4D flow MRI were included and divided into two groups based on the aortic growth rate. The morphological and hemodynamic parameters in each group were retrospectively analyzed. The forward flow and volume in true lumen and ratio of these parameters at entry and false lumen to true lumen were significantly higher in the fast growth-rate group than in the slow one; no morphological parameters showed a significant difference. |
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Improved R2* and QSM mapping for dummies - ask Adam |
| José P. Marques1, Dennis Den Hollander1, David G Norris1, and Kwok-Shing Chan1 | ||
1Donders Institute for Brain Cognition adn Behaviour, Radboud University, Nijmegen, Netherlands |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping In this abstract we demonstrate a simple framework that builds up on deep learning infrastructure to perform quantitative susceptibility mapping and correct for susceptibility related effects on R2* maps, taking the advantage of high GPU computational efficiency. Asking the Adam optimizer to point you in the right direction results in a gradient descent method that can perform field mapping, background field removal, QSM and reduce macroscopic intravoxel dephasing artifacts in R2* maps with most operations being performed in under 60 seconds even for 0.8mm isotropic whole brain multi-echo data. |
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Diving into Extended Phase Graph-based Deep Learning for accurate T2 mapping with PENGUIN |
| Catarina N. Carvalho1, Teresa M. Correia2,3, and Rita G. Nunes1,4 | ||
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, Lisbon, Portugal, 2School of Biomedical Engineering and Imaging Sciences, King’s College London, United Kingdom, London, United Kingdom, 3Center of Marine Sciences - CCMAR, Faro, Portugal, Faro, Portugal, 4Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College, London, UK, London, United Kingdom |
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Keywords: Quantitative Imaging, Relaxometry Model-based deep learning approaches have shown promising results to accelerate T2 relaxometry, but most adopt a pure exponential curve to model the signal, which does not account for indirect and stimulated echoes. A PhasE graph sigNal and Gradients QUantitative Inference MachiNe (PENGUIN) is proposed, which implements a dictionary of pre-calculated echo-modulation curves following the Extended Phase Graph (EPG) formulation and respective gradients as the inputs of a Recurrent Inference Machine to perform accurate T2 mapping from the reconstructed images. PENGUIN is 25-fold faster than a pattern recognition approach with a T2 dictionary step of 2 ms. |
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QRAGE - Multi-Echo MPnRAGE and Model-Based Reconstruction for Quantitative MRI of Water Content, T1, T2* and Magnetic Susceptibility at 7T |
| Markus Zimmermann1, Zaheer Abbas1, Yannic Sommer1, Alexander Lewin1, Shukti Ramkiran1, Ana-Maria Oros-Peusquens1, Seong Dae Yun1, and N. Jon Shah1,2,3,4 | ||
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany, Jülich, Germany, 2Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Germany, Jülich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, Aachen, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany, Aachen, Germany |
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Keywords: Sparse & Low-Rank Models, Image Reconstruction, Brain, Relaxometry, Quantitative Susceptibility mapping The development of fast, accurate, and robust methods for multiparametric quantitative MRI (qMRI) at ultrahigh field strength remains an important topic of research. Here, we present a novel qMRI technique for the simultaneous quantification of water content, T1, T2*, and magnetic susceptibility, termed QRAGE. The proposed method combines a highly undersampled multi-echo MPnRAGE sequence with a model-based reconstruction approach. It acquires 171 different contrasts with full brain coverage and 1 mm isotropic resolution within 7:20 min from which the parametric maps are estimated. The accuracy and precision of QRAGE are demonstrated by comparison to gold-standard reference methods. |
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An empirical approach to determine water T1 from multiparametric MR images of the liver |
| Filippo Carlo Michelotti1, Yuliya Kupriyanova1, Tim Mori1, Thomas Küstner2, Geronimo Heilmann1, Maria Bombrich1, Clara Moeser1, Martin Schön1, Michael Roden1, and Vera Schrauwen-Hinderling1 | ||
1Institute for Clinical Diabetelogy, German Diabetes Center (DDZ) Leibniz Center for Diabetes Research, Düsseldorf, Germany, 2Medical Image and Data Analysis (MIDAS.lab), University Hospital of Tübingen, Diagnostics and Interventional Radiology, Tübingen, Germany |
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Keywords: Quantitative Imaging, Liver, Machine Learning, Segmentation This work focuses on an empirical approach to determine water T1 from multiparametric MR images, including T1, PDFF and T2* maps. To this end, a multiple linear regression model was fit to describe the deviation in MOLLI T1 based on PDFF and T2* values, which were measured in phantoms built at increasing lipids and iron content. This method was validated on a cohort of healthy volunteers and diabetes subjects (n=45). Further investigations were conducted to elucidate the relationship between MOLLI T1 values, before and after correction for hepatic lipid and iron content, and liver stiffness measured by MR elastography. |
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Towards isotropic 3D whole-heart T1 mapping using model-based motion-corrected super-resolution reconstruction |
| Simone Hufnagel1, Patrick Schuenke1, Jeanette Schulz-Menger2,3,4, Tobias Schaeffter1,5,6, and Christoph Kolbitsch1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Charité Medical Faculty University Medicine, Berlin, Germany, 3Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center (ECRC), Charité Humboldt University Berlin, DZHK partner site Berlin, Berlin, Germany, 4Department of Cardiology and Nephrology, HELIOS Klinikum Berlin Buch, Berlin, Germany, 5School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 6Department of Biomedical Engineering, Technical University of Berlin, Berlin, Germany |
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Keywords: Quantitative Imaging, Heart, Super-Resolution Reconstruction Cardiac T1 mapping provides valuable information for the diagnosis of a variety of heart diseases. However, due to SNR and scan time limitations, often only 2D imaging with a low through-plane resolution covering a few slices of the left ventricle is possible. In this work, a super-resolution reconstruction approach is presented aiming towards whole-heart 1.3 mm isotropic T1 mapping within less than three minutes acquisition time. The proposed approach provided a whole-heart cardiac T1 map including the atria and the right ventricle with improved visualization of small structures and overall image quality. |
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Simultaneous T1-T2 mapping, CINE and Multi-contrast Anatomical 3D whole-heart MRI |
| Nicolás Garrido1,2, Andrew Phair3, Ronal Coronado1,4, Haikun Qi5, Claudia Prieto1,3,4, and René M Botnar1,2,3 | ||
1Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Santiago, Chile, 2Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3King's College London, London, United Kingdom, 4Electrical Engineering Department, Pontificia Universidad Católica de Chile, Santiago, Chile, Santiago, Chile, 5ShanghaiTech University, Shanghai, China |
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Keywords: Quantitative Imaging, Myocardium, Motion Correction Cardiac T1-T2 mapping provides information about focal and diffuse fibrosis and inflammation of the myocardium. A recently proposed free-running 3D mapping technique allows time efficient and simultaneous whole-heart T1-T2 mapping within a single scan, with retrospective respiratory motion correction. However, this approach loses the information about the temporal contrast evolution and does not reconstruct multi-contrast 3D whole-heart images, which may carry useful clinical information in patients with myocardial infarction and, acute and subacute thrombus. In this work, we propose to extend this approach to enable joint T1-T2 mapping, CINE, and multi-contrast 3D whole-heart imaging from a single free-running scan. |
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Is linear subspace constraint reconstruction suitable for multi-compartment T2 imaging? Evaluation and guidelines. |
| Nadège Corbin1,2, Trotier J. Aurélien 1, Laurent Petit3, Silvio Sarubbo4, Sylvain Miraux1, and Emeline J. Ribot1 | ||
1Centre de Résonance Magnétique et Systèmes Biologiques, UMR5536, CNRS, University of Bordeaux, Bordeaux, France, 2Wellcome Center for Human Neuroimaging, UCL Queen Square Institute of Neurology, University Coleege of London, London, United Kingdom, 3Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France, 4Department of Neurosurgery, Azienda Provinciale per i Servizi Sanitari, Santa Chiara Hospital, Trento, Italy |
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Keywords: Quantitative Imaging, Image Reconstruction, myelin water fraction Multi-compartment T2 imaging suffers from long acquisition time. Undersampling the k-space combined with advanced iterative reconstructions could be beneficial to reach a reasonable scan duration. This work investigates the suitability of linear subspace-based reconstruction for myelin water fraction and intra-extracellular T2 mapping. Our findings suggest that subspace-based reconstruction for intra-extra cellular T2 and myelin water fraction mapping can be reliably used in combination with spatial regularization enforcing sparsity. The temporal basis can be built from extended phase graph simulations and should include at least 12 components, especially for myelin water fraction mapping. |
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New semi-quantitative contrasts can approximate R1 and R2 in clinical setting |
| Shachar Moskovich1, Oshrat Shtangel1, and Aviv Mezer1 | ||
1The Hebrew University, Jerusalem, Israel |
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Keywords: Quantitative Imaging, Signal Representations Weighted MRI images are widely used in both clinical and open-source datasets, while quantitative mapping is not always feasible. The ratio of T1 and T2 weighted images was previously suggested as a semi-quantitative measurement. We propose two additional weighted ratios T1w/PDw and ln(T2w/PDw), as semi-quantitative proxies for R1 and R2, which we tested on phantom and human data. We found that the new ratios accurately represent the quantitative parameters in both datasets. |
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Separation of type and grade in cervical tumors using MOLLI T1 mapping and non-mono-exponential models diffusion-weighted MR imaging |
| Shujian Li1, Jieliang Lin2, and Jingliang Cheng1 | ||
1the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Advanced Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Quantitative Imaging, Microstructure This study conducted an initial investigation of the feasibility of MOLLI-based T1 mapping and DWI by using mono-exponential, bi-exponential, and DKI models for the noninvasive preoperative evaluation of cervical cancer. Our findings indicated that both T1 mapping and non-mono-exponential model DWI can be used to discriminate cervical cancer from normal cervical tissue and adenocarcinoma from SCC. Our results also achieved a significant information gain for identifying SCC grade by combining native T1 and MKmean. Moreover, the maximum or minimum values of diffusion parameters within the whole lesion had advantages over the mean values in the prediction of SCC grade. |
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Water-Specific T1 Mapping of the Liver: The Influence of R2* Estimation and Number of Echoes |
| Zhitao Li1, Ding Xia2,3, Shreyeas Vasanawala1, and Li Feng2,3 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2BioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Quantitative Imaging, Liver, fat, Dixon Fat represents a major confounding factor for T1 mapping of the liver. Recently, a number of novel magnetization-prepared multiecho imaging approaches have been proposed to obtain water-only T1 mapping, and they all hold great potential for clinical applications. However, several questions have raised along with this this trend, such as (1) whether concurrent estimation of R2star and the number of echoes is necessary and whether it would affect the quantification of water T1; and (b) whether the number of echoes would affect T1 estimation. This work aimed to investigate these two questions with both numerical simulation and in-vivo experiments. |
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Initial Demonstration of Simultaneous Estimation of Water-Specific T1, PDFF, R2*, and QSM in the Liver Using Free-Breathing GraspT1-Dixon MRI |
| Jingjia Chen1, Ding Xia2, Kai Tobias Block3, Chunlei Liu1, and Li Feng2 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research (CAI2R), NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: Quantitative Imaging, Multi-Contrast This work demonstrates the feasibility of simultaneous estimation of fat/water-separated T1, proton density fat fraction (PDFF), R2*, and quantitative susceptibility mapping (QSM) of the liver using free-breathing GraspT1-Dixon MRI from a single rapid acquisition with an inversion-recovery (IR)-prepared multi-echo stack-of-stars sequence. For fat/water-separated T1 mapping, water-only images are generated from multi-echo images at different inversion times (TIs), from which a water-specific T1 map is estimated. For other parameters, acquired data from all TIs are averaged to generate a single set of multi-echo images, from which PDFF, R2*, and QSM are estimated. |
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Bayesian Networks Reveal the Interplay Between Quantitative Liver MRI Metrics |
| Yi-Chun Wang1,2, Roberto Salvati2, John Connell2, Natali Van Zijl1, Tom Waddell2, Daniel Bulte1, and Michael Brady2 | ||
1University of Oxford, Oxford, United Kingdom, 2Perspectum, Oxford, United Kingdom |
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Keywords: Quantitative Imaging, Liver, cT1, T2*, PDFF, volume, future liver remnant Understanding the interplay between quantitative MRI metrics is crucial for reliable clinical assessment of liver health. This study utilised Bayesian networks to visualise hidden relationships between cT1, T2*, proton density fat fraction (PDFF), volume and future liver remnant (FLR). Analysing the directionality between Bayesian networks on a pre-operative dataset with 130 participants and a post-operative dataset with 90 participants, clear causal relationships from PDFF to cT1 and from PDFF to volume were found, which are supported by published literature. An additional discovery is the potential for correlation between metrics to help strengthen the clinical utility of cT1 after surgery. |
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Selective Encoding through Nutation and Fingerprinting (SENF) using Quadratic RF Phase Modulation and the Bloch-Siegert Shift |
| Christopher Elliot Vaughn1,2, N Reid Bolding3, Mark A Griswold4, and William A Grissom1,2 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Physics, Case Western Reserve University, Cleveland, OH, United States, 4Radiology, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Quantitative Imaging, Data Acquisition We demonstrate a new extension of Selective Encoding through Nutation and Fingerprinting (SENF) which is a RF spatial encoding technique that also encodes quantitative information. This SENF method uses quadratic RF phase modulation sequence with an off-resonant Bloch-Siegert pulse to induce the Bloch-Siegert shift to simultaneously encode spatial and quantitative information. We validate this method on a 47.5mT low-field scanner and in simulation. |
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Nine-Fold Acceleration of Multi-Parametric Imaging of the Brain through Joint Sparsity regularized Wave-SPIRiT reconstruction |
| Sen Jia1, Lixian Zou1, Zhilang Qiu2, Yongquan Ye3, Haifeng Wang1, Chao Zou1, Ye Li1, Jian Xu3, Xin Liu1, Hairong Zheng1, and Dong Liang1,4 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, China, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3UIH America, Houston, TX, United States, 4Medical AI Research Center, Shenzhen Institutes of Advanced Technology, Shenzhen, China |
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Keywords: Quantitative Imaging, Relaxometry, Susceptibility The MULTIPLEX technique could quantify the T1/T2*/PD/Susceptibility maps in a single 3D scan but leads to a long scan time due to the dual-TR, dual-flip angle, and multi-echo signal acquisition strategy. Wave-CAIPI acceleration with SENSE reconstruction is limited by noise amplification at high acceleration factors and is susceptible to artifacts from inaccurate coil sensitivity maps. This work develops a L1 regularized Wave-SPIRiT reconstruction to achieve 9-fold accelerated MULTIPLEX imaging in 3 minutes. The L1 regularized coil-by-coil reconstruction also benefits the Multi-Dimensional Integration (MDI) quantification to achieve comparable accuracy and robustness as the reference scan with 55% reduction of scan time. |
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In vivo Multi-Parameter Mapping of the Habenula using MRI |
| Giorgia Milotta1, Isobel Green2, Jonathan Roiser3, and Martina Callaghan1 | ||
1Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom, 2Harvard Medical School, Boston, MA, United States, 3Institute of Cognitive Neuroscience, University College London, London, United Kingdom |
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Keywords: Quantitative Imaging, Tissue Characterization, Multi-Parameter Mapping The habenula has attracted much interest in neuroscience studies because it plays an important role in the reward circuitry of the brain and is implicated in psychiatric conditions. However, imaging the habenula remains challenging due to its sub-cortical location and small size, with few reports analysing its microstructural composition in vivo. To address this gap in the literature, we performed a multi-parametric characterisation of the microstructure of the habenula by quantifying relaxation rates (R1, R2*), water content (PD) and a marker of macromolecular content (MTsat), most notably myelin, in a cohort of 20 healthy participants. |
| 1104 | Pitch: 15:45 Poster: 15:45 Screen 36
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Improving single-shot multi-parametric mapping via multi-slice information sharing based on multiple overlapping-echo detachment imaging |
| Chenyang Dai1, Jiechao Wang1, Qizhi Yang1, Zhigang Wu2, Congbo Cai1, and Shuhui Cai1 | ||
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China, 2MSC Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China |
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Keywords: Quantitative Imaging, Brain, Multi-slice information sharing; modulation pattern; overlapping-echo detachment imaging Multi-parametric quantitative magnetic resonance imaging (mqMRI) has important applications in clinic. Multiple overlapping-echo detachment (MOLED) imaging can achieve single-shot mqMRI. However, the existing methods mainly focus on single-slice reconstruction. To improve the reconstruction quality of parametric maps by exploring data redundancy among adjacent slices, we proposed a multi-slice information sharing method via multiple modulation patterns of MOLED k-space and deep neural network. The results show that our method can effectively utilize the correlation information among adjacent slices and improve the reconstruction quality compared to the single-slice reconstruction method. |
| 1105
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Pitch: 15:45 Poster: 15:45 Screen 37
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Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Multiparametric Quantitative MRI Using QALAS |
| Yohan Jun1,2, Yamin Arefeen3, Jaejin Cho1,2, Xiaoqing Wang1,2, Michael Gee2,4, Borjan Gagoski2,5, and Berkin Bilgic1,2,6 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Massachusetts Institute of Technology, Cambridge, MA, United States, 4Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 5Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 6Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging The 3D-quantification using an interleaved Look-Locker acquisition sequence with T2 preparation pulse (3D-QALAS) has been developed and used for acquiring high-resolution T1, T2, and PD maps from five measurements within each repetition time. However, it assumes that each k-space data is acquired instantly at the first echo train length index neglecting T1 and T2 relaxation during the acquisition, which might cause blurring and biases in the reconstructed maps. In this study, we propose to reconstruct accurate quantitative T1 and T2 maps with reduced blurring compared to the conventional QALAS method using our proposed zero-shot deep subspace reconstruction method (i.e., Zero-DeepSub). |
| 1106 | Pitch: 15:45 Poster: 15:45 Screen 38
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MR-STAT for fast contrast agent uptake quantification |
| Fei Xu1, Hongyan Liu1, Stefano Mandija1, Oscar van den Heide1, Edwin Versteeg1, Miha Fuderer1, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1 | ||
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, Utrecht, Netherlands |
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Keywords: Quantitative Imaging, Contrast Agent, MR-STAT; Contrast Enhancement Imaging Gadolinium-based contrast agents (GBCAs) uptake has the ability to facilitate disease diagnosis. In this work, we implement MR-STAT for fast contrast agent uptake quantification by applying keyhole acquisition and regularized reconstruction. We first analyze the accuracy of the proposed method on gadolinium-doped gel phantoms and observe that accurate T1 mapping of post-injection can be achieved with a keyhole factor of 25%. Furthermore, we investigate the impact of lower (20% vs 100%) GBCA dose administration on simulated clinical data. The quantification of pathologic T1 change for low-dose administration was comparable to that for full-dose. |
| 1107 | Pitch: 15:45 Poster: 15:45 Screen 39
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Validation of Constrained qBOLD-Based 3D CMRO2 Mapping With Repeatability Test and Hypercapnic Challenge |
| Hyunyeol Lee1,2, Jing Xu2, and Felix W Wehrli2 | ||
1School of Electronics Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Quantitative Imaging, Metabolism In the original qBOLD, it is challenging to separate deoxyhemoglobin’s contribution to R2' from other sources modulating the voxel signal. Further, extracting DBV and Yv from measured R2' is a nontrivial task. It was recently shown that the constrained qBOLD method was able to properly separate the several confounding factors, yielding the expected contrast for both Yv and DBV maps across the entire brain, and, together with a separate measurement of CBF, leading to whole-brain 3D CMRO2 maps within physiologically plausible ranges. Here, we validated the new 3D qBOLD method with respect to repeatability and hypercapnic gas breathing challenges. |
| 1108 | Pitch: 15:45 Poster: 15:45 Screen 40
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Locally low-rank denoising in transform domains. |
| Steen Moeller1, Casey P. Johnson1,2, Erick O. Buko1,2, Ferenc Toth2, Greg Metzger1, Silvia Mangia1, Shalom Michaeli1, Sara Ponticorvo1, Antonietta Canna1, Kamil Ugurbil1, and Mehmet Akcakaya1,3 | ||
1Radiology, University of Minnesota, Minneapolis, MN, United States, 2Veterinary Clinical Sciences, University of Minnesota, Minneapolis, MN, United States, 3Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Quantitative Imaging, Data Processing The concept of transform processing domain with locally low rank denoising is proposed as T-NORDIC and demonstrated for MSK and brain applications. The improvements on quantitative maps may be leveraged for faster acquisitions by relaxing the number of averages needed to obtain sufficient SNR for high resolution acquisitions and for application of low rank denoising to common clinical acquisitions. |
19:00
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EDI in ISMRM | |
| Scott Reeder | ||
19:05
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Local Culture & History: A Deep Look into the World of Indigenous Canadians | |
| Diane Longboat1, Bob Goulais2 | ||
| 1, 2 | ||
19:20
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Remote Locations | |
| Johnes Obungoloch | ||
19:35
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Success Story | |
| Iris Asllani | ||
19:50
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The ISMRM Mentoring Software | |
| Nivedita Agarwal | ||
19:55
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Panel Discussion |
| 7:00 | Neuroinflammation & Psychiatric Disorders |
| Udunna Anazodo |
| 7:30 | Magnetic Resonance Imaging Measures of Neuroinflammation in Psychiatry |
| Jordan Chad |
| 7:00 | Artificial Intelligence for 4D flow MRI |
| Eva Peper |
| 7:30 | 4D Flow MRI: Validation of Advanced Flow Parameters |
| Julio Sotelo |
| 7:00 | What’s New in Liver Fat Quantification? |
| Takeshi Yokoo |
| 7:30 | What’s New in Liver Iron Quantification? |
| Diego Hernando |
| 7:00 | Dynamic Imaging: Clinical Importance & Challenges |
| Christopher Burke |
| 7:30 | Dynamic Imaging: Technical Development Status & Future Directions |
| Abhijit Chaudhari |
| 7:00 | Metabolic Underpinnings of the fMRI Signal |
| Assaf Tal |
| 7:30 | Combined fMRI-MRS Acquisitions |
| Nathalie Just |
| 7:00 | Short & Sweet: UTE & ZTE: Theory |
| Emil Ljungberg |
| 7:30 | Short & Sweet: Case Study & Applications of UTE/ZTE in MSK Contrast/Metal Artifact Reduction |
| Reto Sutter |
8:15
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MRI FAIR: A vendor-neutral app store for MRI research | |
| Agah Karkuzu | ||
8:35
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Multinuclear Platform for Operating a T/R Coil and Phased Array | |
| Wolfgang Leow | ||
8:55
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Fellow in the Box:An Intelligent Assistant for every Radiologist | |
| Suyash Mohan | ||
9:15
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BridgeAiHub | |
| Subin Erattakulangara | ||
9:45
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Predictive noise canceling headphones for acouctic noise reduction in MRI | |
| Paulina Siuryte | ||
8:15
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T1, T2: Quantification Techniques & Applications | |
| Shir Filo1 | ||
1The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Israel |
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Keywords: Contrast mechanisms: Relaxometry T1 and T2 relaxation: biophysical basis, quantification techniques, limitations & applications. |
8:45
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MT and ihMT: basic principles and applications | |
| Olivier M. Girard1 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France |
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Keywords: Contrast mechanisms: CEST & MT, Contrast mechanisms: Relaxometry, Contrast mechanisms: Microstructure This course will cover the basic principles of MT and ihMT and will describe the associated biophysical modelling used to measure tissue macromolecular content using MRI. Following this lecture, the attendees should 1/ understand the origin of magnetization transfer effects within heterogeneous spin systems, 2/ understand that MT mechanisms and T1 longitudinal relaxation are tightly related, 3/ gain intuition on biophysical models aiming to describe MT and ihMT effects, especially in central nervous system tissues, and 4/ know the usual MT and ihMT acquisition methods and applications in neuroimaging studies. |
9:15
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T1ρ, T2ρ: Definition & Quantification | |
| Shalom Michaeli1 | ||
1University of Minnesota, United States |
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Keywords: Contrast mechanisms: Rotating Frame Relaxometry, Contrast mechanisms: Microstructure, Image acquisition: Quantification Rotating frame relaxation methods based on FS pulses, including T1ρ and T2ρ using adiabatic pulses, and the non-adiabatic method entitled Relaxation Along a Fictitious Field (RAFF) in the rotating frame of rank n (RAFFn), offer sensitivity to a broad range of motional regimes. The reduced power deposition of RAFFn, along with the opportunity of enhancing sensitivity to exchange by tuning the periodicity of irradiation, are distinct advantages of the methodology. The methodologies for detection of fast relaxing spins using asymptotic relaxation mapping and alternating Look-Locker sequence are described. Applications of T1ρ, T2ρ and RAFFn for detecting pathological conditions are presented. |
9:45
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T1ρ, T2ρ: Applications | |
| Weitian Chen1 | ||
1The Chinese University of Hong Kong, China |
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Keywords: Contrast mechanisms: Rotating frame relaxometry MRI can be used for non-invasive imaging and characterization of metabolites and macromolecules in human tissues based on chemical exchange (CE) and magnetization transfer (MT). It is popular to use off-resonance saturation radiofrequency (RF) pulses to study CE and MT based contrasts. Alternatively, relaxation times in the presence of a spin-lock field can also be used to measure CE and MT signal. This leads to many promising applications of spin-lock MRI, including, but not limited to, diagnosis of brain cancer, Alzheimer’s’ disease, demyelination, MSK diseases, cardiac diseases, and fibrosis. |
8:15
|
Optimization of MR Imaging of the Neonatal Body | |
| Govind B Chavhan1 | ||
1Hospital for Sick Children, Canada |
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Keywords: Cross-organ: Neonatal, Image acquisition: Motion Correction, Cross-organ: Pediatric It is important to maintain their vitals like body temperature, heart rate, blood pressure and oxygen saturation during the transportation and in the MRI scanner. Usually, light sedation from midazolam works well for NICU babies while feed-and-swaddle technique works well for non-NICU babies. Protocol should balance quality of imaging and time with most important sequences performed earlier, in case the baby wakes up. Most currently available sequences can be optimized to obtain diagnostic quality MR exam in neonates. There is limited data on use of gadolinium-based contrast media in neonates but are in general considered safe for use in neonates. |
8:45
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MR Imaging of the Neonatal Heart | |
| Mehdi Hedjazi Moghari1 | ||
1Children's Hospital Colorado, Aurora, CO, United States |
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Keywords: Cardiovascular: Cardiovascular, Cardiovascular: Cardiac, Cardiovascular: Cardiac Pediatric cardiovascular magnetic resonance (CMR) imaging poses significant challenges due to bulk, respiratory, and cardiac motion. In this lecture, key concepts in motion correction will be covered, including electrocardiogram (ECG) gating, cardiac self-gating, respiratory navigators, respiratory self-gating, and state-of-the-art comprehensive free-breathing 3-dimensional (3D) CMR imaging. |
9:15
|
MR Imaging of the Neonatal Chest | |
| Jason C Woods1 | ||
1Cincinnati Children's Hospital Med. Ctr., United States |
9:45
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MR Imaging of the Neonatal Abdomen | |
| Geetika Khanna1 | ||
1Children's Hospital Network Atalanta, Atlanta, GA, United States |
| 1109 | 8:15
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Bariatric Surgery Effects on Knee Articular Cartilage and Osteoarthritis Symptoms – a 12-month Follow-up Using T2 Relaxation Time and WOMAC Index |
| Sami Lehtovirta1,2, Ahti Kemppainen1,2, Marianne Haapea2,3,4, Jaro Karppinen1,5,6, Eveliina Lammentausta2,3, Vesa Koivukangas7, Eero Kyllönen8, Mika Nevalainen1,2,3, Petri Lehenkari2,7,9, Victor Casula1,2, and Miika T. Nieminen1,2,3 | ||
1Research Unit of Health Science and Technology, University of Oulu, Oulu, Finland, 2Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland, 3Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland, 4Research Service Unit, Oulu University Hospital, Oulu, Finland, 5Center for Life Course Health Research, University of Oulu, Oulu, Finland, 6Finnish Institute of Occupational Health, Oulu, Finland, 7Department of Surgery, Oulu University Hospital, Oulu, Finland, 8Department of Physical Medicine and Rehabilitation, Oulu University Hospital, Oulu, Finland, 9Research Unit of Translational Medicine, University of Oulu, Oulu, Finland |
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Keywords: Cartilage, Osteoarthritis Obesity is a common risk factor for osteoarthritis (OA). We set out to study knee cartilage using T2 relaxation time, and knee OA symptoms with WOMAC OA index in obese individuals. Bariatric surgery patients were split into successful and unsuccessful weight loss groups, and compared with a control group of obese individuals over a 12-month follow-up. The lesser weight loss group displayed improvement of cartilage with lower T2 values in the lateral compartment of femoral cartilage, compared to the higher weight loss. We also observed improvement of knee symptoms in both successful and unsuccessful weight loss groups after 12 months. |
| 1110 | 8:23
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Utilization of an MRI compatible loading device for the evaluation of unloaded-to-loaded changes in region specific tibial cartilage T1ρ and T2: |
| Erin C Argentieri1, Andrew C Zhu2, Arden Wach2, Ashley Pekmezian2, Sonia Bansal2, Ryan E Breighner1, Hollis G Potter1, Suzanne A Maher2, and Matthew F Koff1 | ||
1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Biomechanics, Hospital for Special Surgery, New York, NY, United States |
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Keywords: Cartilage, Quantitative Imaging Evaluation of unloaded-to-loaded changes within cartilage revealed that tibial cartilage thickness, T1ρ, and T2 metrics all decreased/shortened following application of 50% BW axial load. Shortening of loaded qMRI values is likely attributed to water loss from the cartilage matrix due to PG/matrix damage and attendant loss of cartilage FCD within this cadaveric model. As both the static and dynamic responses of cartilage to load are impacted by degeneration, quantification of unloaded-to-loaded T1ρ and T2 values may provide additional insight into cartilage health. Future work will evaluate unloaded-to-loaded cartilage T2* metrics to better elucidate movements of free and bound water pools. |
| 1111 | 8:31
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High Contrast Cartilaginous Endplate Imaging Using Dual-Inversion Recovery Prepared Ultrashort Echo Time (DIR-UTE) Sequence |
| Jiyo Srinivasan Athertya1, James Lo1,2, Alicia Ji1, Charles Ding1, Xiaojun Chen1, Soo Hyun Shin1, Bhavsimran Singh Malhi 1, Saeed Jerban1, Micael Carl3, Monica Guma4,5, Eric Y Chang1,5, Jiang Du1,2,5, and Yajun Ma1 | ||
1Radiology, UCSD, San Diego, CA, United States, 2Bioengineering, UCSD, San Diego, CA, United States, 3GE Healthcare, San Diego, CA, United States, 4Medicine, UCSD, San Diego, CA, United States, 5Radiology Service, VA, San Diego, CA, United States |
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Keywords: MSK, Contrast Mechanisms, Cartilaginous endplate, Spine The cartilaginous endplate (CEP) plays a key role in maintaining the normal function of the intervertebral disc (IVD) by acting as a bridge for the transport of nutrients into the IVD cells. In this study, we developed a 3D dual inversion recovery prepared ultrashort echo time (DIR-UTE) sequence for high contrast CEP imaging and compared its performance with previously developed techniques on a clinical 3T scanner. We found that the proposed DIR-UTE sequence demonstrated the best image contrast for CEP imaging, which is highly promising for future clinical use. |
| 1112 | 8:39
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Rapid Isotropic 3D T2 Mapping of the Knee using Dual-Echo Steady-State MRI with Compressed Sensing Reconstruction |
| Shu-Fu Shih1,2, Zhaohuan Zhang1,2, Ashmita Deb1,2, Xiaodong Zhong3, Timothy W. Ryan1, and Holden H. Wu1,2 | ||
1Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 2Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 3MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States |
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Keywords: Cartilage, Cartilage MRI T2 mapping of cartilage has been shown to be useful in characterization and monitoring of osteoarthritis (OA). Compared to conventional spin echo-based sequences, the 3D dual-echo steady-state (DESS) sequence can provide faster T2 mapping. Previous works proposed 3D DESS T2 mapping in the knee using anisotropic resolution (e.g., in-plane resolution of 0.3x0.3mm2 and slice thickness of 1.5-3mm), which limits the depiction of fine structures in 3D multiplanar reformatted images. This work investigated 3D DESS T2 mapping in the knee with isotropic acquired resolution of 0.66x0.66x0.66 mm3 and used compressed sensing (CS) to accelerate the acquisition time to <5 minutes. |
| 1113 | 8:47
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Patellofemoral cartilage compression and recovery in response to loading measured with dynamic MRI using prospective motion correction |
| Thomas Lange1, Philipp Rovedo1, Patrick Hucker1, Elham Taghizadeh2,3, Kaywan Izadpanah4, Maxim Zaitsev1, and Hans Meine2,3 | ||
1Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Freiburg, Germany, 2Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 3Medical Image Computing Group, Department of Informatics, University of Bremen, Bremen, Germany, 4Department of Orthopedic and Trauma Surgery, Medical Center – University of Freiburg, Freiburg, Germany |
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Keywords: Cartilage, Motion Correction, dynamic MRI, loading, compression, recovery The patellofemoral cartilage compression and recovery is measured with dynamic MRI in response to a bout of in situ loading in a cohort of ten healthy subjects. To mitigate motion artifacts arising from the loading paradigm, the experiments are performed with prospective motion correction based on optical tracking. The measured cartilage compression and recovery time course in response to loading and unloading is characterized by a larger fully elastic compression component adapting instantaneously to applied load changes, and a smaller compression component, which only gradually adapts to load changes and exhibits in particular a very protracted recovery after unloading. |
| 1114 | 8:55
|
Characterization of the Textural Features from Quantitative MRI for Determination of Cartilage Degeneration |
| Vladimir Juras1, Stefan Toegel2,3, Benedikt Hager4,5,6, Markus Schreiner7, Veronika Janacova1, Pavol Szomolanyi4, Didier Laurent8, Franziska Saxer9, Rahel Heule10, Oliver Bieri11, Esther Raithel12, Christoph Fuchssteiner13, Wolfgang Weninger13, Reinhard Windhager2, and Siegfried Trattnig4 | ||
1Medical University of Vienna, Vienna, Austria, 2Karl Chiari Lab for Orthopaedic Biology, Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria, 3Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Vienna, Austria, 4High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 5Austrian Cluster for Tissue Regeneration, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Viennq, Austria, 6CD Laboratory for MR Imaging Biomarkers (BIOMAK), Vienna, Austria, 7Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria, 8Department of Translational Medicine, Novartis Institutes for Biomedical Research, Basel, Switzerland, 9Department of translational Medicine, Novartis Institutes for Biomedical Research, Basel, Switzerland, 10Center for MR Research, University Children's Hospital, Zurich, Switzerland, 11Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland, 12Siemens Healthcare GmbH, Erlangen, Germany, 13Center for Anatomy and Cell Biology, Division of Anatomy, Medical University of Vienna, Vienna, Austria |
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Keywords: Cartilage, Osteoarthritis, cartilage; texture analysis, histology Texture features derived from quantitative MRI maps of cartilage have attracted increasing attention from the osteoarthritis (OA) community in recent years. In this work, texture analysis was used on T2 maps and validated using histological analysis. Some texture features (autocorrelation, contrast and entropy) correlated with the Mankin score; autocorrelation also correlated with collagen orientation calculated from PLM images. The correlation between image-derived features with histological quality scores can be a decisive step towards monitoring of cartilage regeneration in-vivo and help to identify therapies that restore articular cartilage quantity and quality. |
| 1115 | 9:03
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Assessment of knee cartilage strain using the magnetization transfer ratio and T2: an ex vivo study at 9.4T MRI |
| Emily Sullivan1,2, Andrew Yung3, Jessica Küpper2,4, Kirsten Bale3, Piotr Kozlowski3, and David Wilson2,4 | ||
1School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 2Centre for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada, 3UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 4Orthopaedics, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Cartilage, Osteoarthritis The magnetization transfer ratio (MTR) was investigated as an alternative biomarker for cartilage strain compared to T2. Six ex vivo bovine knee specimens were compressed in a 9.4T scanner and scanned at several physiological step loads. Average strain, MTR, and T2 were calculated for each voxel column throughout the full depth of cartilage, and depth-dependent trends were identified. ΔMTR changed uniformly across the cartilage volume with strain, while ΔT2 showed a more localized yet inconsistent response. This suggests that MTR may be more sensitive in measuring cartilage strain in clinical applications where image resolution is lower. |
| 1116 | 9:11
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Reliable high-resolution in vivo human knee T1ρ imaging quantification with robust fitting methods |
| Zhiyuan Zhang1,2,3, Jeehun Kim1,3,4, Richard Lartey1,3, Carl Scherman Winalski1,3,5, and Xiaojuan Li1,3,5 | ||
1Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States, 4Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, United States, 5Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Cartilage, Quantitative Susceptibility mapping Quantitative MR T1ρ and T2 imaging are promising methods to detect osteoarthritis at its early stage. Current T1ρ and T2 mapping in human subjects is limited to a relatively low resolution which has limited sensitivity to focal lesions due to partial-volume effects. One of the hurdles to achieving high resolution is the increase in fitting bias when using a conventional nonlinear least-squares fitting with low SNR images. In this study, we evaluated T1ρ quantification with in-vivo high-resolution imaging with different fitting methods. |
| 1117 | 9:19
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Layers-Based Analysis of Knee Articular Cartilage: Comparing T1ρ Imaging Against Quantitative Susceptibility Mapping at 3 Tesla |
| ALLEN A CHAMPAGNE1, TAYLOR M ZULEGER2,3,4,5, DANIEL R SMITH2,4,5, ALEXIS B SLUTSKY-GANESH2,4,5,6, SHAYLA M WARREN2,4,5, LEXIE M SENGKHAMMEE2,4,5, SAGAR MANDAVA7, HONGJIANG WEI8, DAVIDE D BARDANA9, GREG D MYER2,4,5,10, and JED A DIEKFUSS2,4,5 | ||
1School of Medicine, Queen's University, Kingston, ON, Canada, 2Emory Sports Performance And Research Center, Flowery Branch, GA, United States, 3Neuroscience Graduate Program, University of Cincinnati, Cincinnati, OH, United States, 4Emory Sports Medicine Center, Atlanta, GA, United States, 5Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, United States, 6Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, United States, 7GE Healthcare, Atlanta, GA, United States, 8School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 9Department of Orthopaedics, Queen's University, Kingston, ON, Canada, 10The Micheli Center for Sports Injury Prevention, Waltham, MA, United States |
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Keywords: Cartilage, Microstructure, Quantitative Susceptibility Mapping, T1rho, knee The vertical microstructural organization of articular cartilage varies in its arrangement of collagen fibers, as well as the relative proteoglycan content. Knee osteoarthritis (OA) involves an inflammatory degenerative process that leads to depth-wise degeneration of the cartilaginous matrix. While quantitative MR protocols have emerged to evaluate proteoglycan content (T1ρ) and microstructural integrity (Quantitative Susceptibility Mapping; QSM), advances in layer-based analyses (e.g., superficial vs. deep) are warranted to identify the progression of diseased cartilage. We demonstrate the integrated utilization of QSM and T1ρ for characterizing depth-specific microstructural arrangement of articular cartilage, including differences in tissue organization and composition, respectively. |
| 1118 | 9:27
|
Quantitative relaxometry values can effectively assist menicius injury level in knee |
| Huizheng Wang1, Weiyin Vivian Liu2, Wen Chen3, Jingyu Jiang4, Ling Sang3, Peng Zhang3, and Hu Chen3 | ||
1Department of Radiology, Taihe Hospital, Hubei University of Medicine, Hubei, China, 2GE Healthcare, Beijing, China, 3Shiyan Taihe Hospital, Hubei, China, 4Biomedical Engneering College, Hubei University of Medicine, Hubei, China |
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Keywords: Osteoarthritis, Cartilage Knee meniscus tears cause fibrocartilage degeneration. Grade III meniscus is viewed as complete meniscus injury and should be further confirmed for the requirement of surgical intervention via arthroscopy. MAGiC provides quantitative relaxometry values. Our study showed that Grade III meniscus can be distinguished from Grade II ones using T1, T2 and PD. This finding suggested MAGiC can assist clinical follow-ups of knee meniscus and screen the indications for arthroscopic surgery. |
| 1119 | 9:35
|
Novel 3D Quantitative Magnetization Transfer Imaging of The Whole Knee Cartilage |
| Albert Jang1,2, Zachary Stewart2, Martin Torriani2, Miho Tanaka3, and Fang Liu1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States, 2Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Orthopedic Surgery, Massachusetts General Hospital, Boston, MA, United States |
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Keywords: Cartilage, Magnetization transfer We propose to characterize cartilage extracellular matrix of the whole knee using a novel quantitative magnetization transfer (MT) imaging technique. This new technique achieves accurate T1 and MT quantification by using a new sequence incorporating off-resonance RF pulses that create two simultaneous effects: 1) Bloch-Siegert phase shift to measure and correct for B1+ inhomogeneity and 2) direct saturation of macromolecules to model MT. This new method, termed BTS (Bloch-Siegert and magnetization Transfer Simultaneously), is presented and validated in both phantom and in-vivo knee imaging experiments. |
| 1120 | 9:43
|
MR Fingerprinting in the Knee Cartilage Compared to Conventional Methods in Combination with Automated Cartilage Segmentation |
| Diana Bencikova1, Martin A. Cloos2, Veronika Janacova1, Siegfried Trattnig1,3,4,5, and Vladimir Juras1 | ||
1Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria, 2University of Queensland, Queensland, Austria, 3CD Laboratory for MR Imaging Biomarkers (BIOMAK), Vienna, Austria, 4Austrian Cluster for Tissue Regeneration, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria, 5Karl Landsteiner Society, Institute for Clinical Molecular MRI in the Musculoskeletal System, Vienna, Austria |
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Keywords: Cartilage, MR Fingerprinting, MSK, MR value, Osteoarthritis, Quantitative Imaging, Relaxometry Quantitative MRI has been shown to be sensitive to early stages of cartilage degeneration in osteoarthritis, but conventional MRI techniques can measure only single parameter at a time. This poses time constraints and co-registration challenges. With MR Fingerprinting, multiple parameters can be assessed within single measurement. Here, we evaluated prototype MRF sequence in NIST phantom and healthy volunteers in combination with automatic cartilage segmentation procedure and compared to conventional techniques. We could show that the values provided by MRF sequence agreed with the values provided by conventional techniques. Therefore MRF is accurate and practical diagnosis tool for articular cartilage examination. |
| 1121 | 9:51
|
3D Cluster Analysis for Cartilage T2 And T1ρ Mapping to Assess Focal Lesions in ACL-Injured Subjects |
| Anoosha Pai S1, Anthony A Gatti2, Marianne S Black3, Arjun D Desai4, Jarrett Rosenberg2, Katherine A Young2, Jessica L Asay2, Seth L Sherman5, Garry E Gold2, Feliks Kogan2, Brian Hargreaves2, and Akshay S Chaudhari6 | ||
1Bioengineering, Stanford University, Palo Alto, CA, United States, 2Radiology, Stanford University, Palo Alto, CA, United States, 3Mechanical Engineering, University of Victoria, Victoria, BC, Canada, 4Electrical Engineering, Stanford University, Palo Alto, CA, United States, 5Orthopaedic Surgery, Stanford University, Palo Alto, CA, United States, 6Radiology/Integrative Biomedical Imaging Informatics, Stanford University, Palo Alto, CA, United States |
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Keywords: Cartilage, Osteoarthritis, ACL-injury, cartilage, knee A 3D pipeline (longitudinal registration followed by cluster analysis) was developed to identify focal-lesions (clusters) of elevated T2 and T1ρ in femoral cartilage over 4-visits (3-weeks, 3, 9, and 18-months) post ACL-reconstruction surgery. Cluster Average (CA) and Cluster Percentage (CP) for T2 were significantly higher for ACL-inured when compared to ACL-contralateral and control-healthy knees. While the CP followed an increasing trend during subsequent visits, CA did not significantly vary across visits. Thus, our method could be effective for identifying and tracking quality (measured by CA) and quantity (measured by CP) of focal lesions in ACL-injured population. |
| 1122 | 9:59
|
Knee Bone and Cartilage Segmentation using Deep Learning Model Trained with Heterogeneous Data: Preliminary Results |
| Xiaoxia Zhang1, Hector L. De Moura1, Marcelo V. W. Zibetti1, and Ravinder R. Regatte1 | ||
1Grossman School of Medicine, New York University, New York, NY, United States |
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Keywords: Cartilage, Joints In this study, we pre-trained a deep learning model for knee bone and cartilage segmentation with open dataset (MICCAI grand challenge "K2S 2022"), and then fine-tuned it with a small size of locally acquired data for customized task, in which we explored different contrasts as well. We can benefit from the large dataset size to increase the segmentation accuracy and generalization capabilities while reducing the labor and time of manual segmentation for training data. The preliminary results of a small dataset with 10 subjects using a simple 2D U-net are promising for single contrast and multi contrast images. |
| 1123 | 10:07
|
Quantitative T2 Mapping of Articular Cartilage in Patients with Posterior Horn Root Tears of Medial Meniscus |
| Abdul Wahed Kajabi1,2, Stefan Zbyn1,2,3, Jesse Smith1,2, Morgan Homan4, Hasan Abbasguliyev5, Ariel N. Rodriguez4, Gregory J. Metzger1, Robert F. LaPrade4, and Jutta M. Ellermann1,2 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, University of Minnesota, Minneapolis, MN, United States, 2Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 3Department of Biomedical Engineering, Lerner Research Institute, Cleveland, OH, United States, 4Twin Cities Orthopedics, Edina, MN, United States, 5Department of Diagnostic and Interventional Radiology, Ataturk University Research Hospital, Erzurum, Turkey |
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Keywords: Cartilage, Quantitative Imaging The aim of this study was to evaluate degenerative changes in articular cartilage of patients with posterior root tear of the medial meniscus. Multi-echo quantitative T2 mapping was acquired on a 7T clinical scanner. For reference, age- and gender-matched healthy controls were scanned using the same 7T protocol. Arthroscopic evaluation of articular cartilage and menisci was performed in patients during the repair of posterior medial root tears. Significantly higher T2 values were found in the lateral and medial femoral cartilage of the patients compared to healthy controls. |
| 1124 | 8:15
|
Detecting crossing fibers in animal and human brain using small angle X-ray scattering and comparison to diffusion MRI |
| Marios Georgiadis1,2, Miriam Menzel3,4, Jan Andre Reuter3, Aileen Schroeter2, Zirui Gao2, Sophie Kovacevich1, Dario Alvarez1, Manuel Guizar-Sicairos5, Markus Rudin2, Donald Born1, Thomas M Weiss6, Ivan Rajkovic6, Markus Axer3, and Michael M Zeineh1 | ||
1Stanford University School of Medicine, Stanford, CA, United States, 2ETH Zurich, Zurich, Switzerland, 3Forschungszentrum Jülich, Jülich, Germany, 4Delft University of Technology, Delft, Netherlands, 5Paul Scherrer Institute, Villigen, Switzerland, 6SLAC National Accelerator Laboratory, Menlo Park, CA, United States |
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Keywords: White Matter, Tractography & Fibre Modelling Mapping neuronal trajectories requires accurate determination of fiber crossings. Diffusion MRI detects fiber orientations but is affected by multiple brain structures and requires constant validation. Small-angle X-ray scattering (SAXS) can specifically image myelinated axons exploiting myelin’s periodic nanostructure. However, its capability to detect crossing fibers is still unexplored. We show that SAXS detects multiple crossing fibers using human corpus callosum strips, and in white and gray matter of mouse, vervet monkey, and human brain. We compare results to polarized light and tracer experiments and show that SAXS more sensitively detects fiber crossings compared to diffusion MRI on the same samples. |
| 1125 | 8:23
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Direct visualization of small anisotropic brain structures using high resolution, multi-shell diffusion MRI |
| Benjamin Ades-Aron1, Valentin Stepanov1, Santiago Coelho1, Alon Mogilner2, Dmitry S. Novikov1, Timothy M. Shepherd1, and Els Fieremans1 | ||
1Radiology, Center for biomedical imaging, NYU Grossman School of Medicine, New York, NY, United States, 2Neurosurgery, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: White Matter, Data Analysis, high-resolution, visualization In vivo visualization and quantitative assessment of small anisotropic brain structures is challenging with diffusion MRI because of signal-to-noise limitations. We show that direct visualization of small structures, like the fornix or stria medullaris, dramatically improves using denoised 1-mm isotropic resolution complex-valued dMRI data. This approach also reduces the bias and variance of diffusion parameter estimations for small structures. Increased resolution with denoising decreases parameter variance due to thermal noise and partial volume effects – these data also can be used to better estimate the true biological variance in a structure by extrapolating the data to the infinite SNR limit. |
| 1126 | 8:31
|
Morphological comparison of deep white matter bundles between the human and chimpanzee brain using a geometrical approach |
| Maelig Chauvel1, Ivy Uszynski1, Marco Pascucci1, Bastien Herlin1, Yann Leprince2, Jean-François Mangin1, William Hopkins3, and Cyril Poupon1 | ||
1Université Paris-Saclay, CEA, CNRS, UMR 9027, BAOBAB, NeuroSpin , Gif-sur-Yvette, France, Saclay, France, 2UNIACT, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, France, Saclay, France, 3Michele E Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, Texas, TX, United States |
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Keywords: White Matter, Brain Connectivity, chimpanzee, white matter atlas Humans and chimpanzees are related by a common ancestor that lived around 6 to 7 millions years ago. From then, a cascade of acquired brain features have occurred and the scientific community has tried for years to capture them. Providing measures of the hominin brain divergences or conserved characters can be challenging considering the multitude of variables involved. We propose here a study relying on an intuitive and yet innovative morphological analysis of the deep white matter (DWM) bundles of the human and chimpanzee brain using isomap algorithm. |
| 1127 | 8:39
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3D volumetric myelin water phase mapping via short-TR adiabatic inversion recovery (STAIR) MRI |
| Soo Hyun Shin1, Dina Moazamian1, James Lo1,2, Hyungseok Jang1, Michael Carl3, Eric Y. Chang1,4, Jiang Du1,2,4, and Yajun Ma1 | ||
1Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 2Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States, 3GE Healthcare, San Diego, CA, United States, 4Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, CA, United States |
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Keywords: White Matter, Contrast Mechanisms Demyelination is a common hallmark of neurodegenerative diseases such as multiple sclerosis. Thus, selective imaging of myelin will greatly enhance the diagnosis of such diseases. Here, we demonstrate the feasibility of acquiring whole-brain 3D myelin water phase maps via short-TR adiabatic inversion recovery (STAIR) MRI. The phase of proton density-weighted (PD) images was subtracted from the phase of STAIR images to remove the background field. The overall positive frequency shift, with a larger shift in the splenium of the lower slice, matches the white matter fiber orientation. |
| 1128 | 8:47
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The apparent orientation dependence of MTR, ihMTR and MWF is affected by local microstructural properties in white matter |
| Sarah Rosemary Morris1,2,3, Irene M. Vavasour3,4, Anastasia Smolina5,6, Erin MacMillan4,7, Guillaume Gilbert7, Michelle Lam1,4, Piotr Kozlowski1,2,3,4, Carl A. Michal1, Alan Manning1, Alex L. MacKay1,3,4, and Cornelia Laule1,2,3,4,8 | ||
1Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, Vancouver, BC, Canada, 5Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6The Hospital for Sick Children, Toronto, ON, Canada, 7MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada, 8Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada |
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Keywords: White Matter, CEST & MT, inhomogeneous Magnetization Transfer, ihMT, myelin water fraction, MWF, magnetization transfer, MT, fibre direction, orientation dependence, diffusion tensor imaging (DTI), myelin We measured MTR, ihMTR, MWF and fibre orientation from DTI in 17 white matter regions in 17 healthy adults at 3 T. All three metrics showed an apparent orientation dependence: MWF and ihMTR were lower in fibres perpendicular to B0 by 6% and 1% respectively compared to those parallel, while MTR was lower by 0.5% at ~40°, with the highest values in fibres perpendicular to B0. However, separating the apparent orientation dependence by region revealed large variation in the trends, suggesting that real differences in myelination and other microstructural properties are confounding the apparent orientation dependence measured using this method. |
| 1129 | 8:55
|
7T MR DTI and Tractography of a 1-Week Postmortem Fixed Human Brainstem-Cerebellum: Novel Imaging Methodology Producing Extraordinary Images |
| Sahin Hanalioglu1, Giancarlo Mignucci-Jiménez2, Siyar Bahadir1, Alberto Fuentes3, Ethan Mathew3, Gregory Turner3, and Mark C Preul2 | ||
1Department of Neurosurgery, Hacettepe University, Ankara, Turkey, 2Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, United States, 3Barrow Neurological Institute, Phoenix, AZ, United States |
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Keywords: White Matter, Diffusion Tensor Imaging, 7T MRI, Tractography, Connectivity, Postmortem Diffusion-tensor imaging (DTI) is routinely used to estimate the pattern, orientation, and directionality of white matter tracts in human living subjects. However, diffusion imaging of ex-vivo brain specimens is complex due to the diffusivity properties of fixed brain tissue. We developed a novel methodology for tractography of a 1-week postmortem fixed human brainstem and cerebellum specimen utilizing a deterministic fiber tracking algorithm on a 7T MR DTI diffusion scheme registered to an MNI space through landmark-based affine registration. The results showed highly detailed tractography images and agreement between left and right crossing and non-crossing fibers. |
| 1130 | 9:03
|
Tractwise perfusion-microstructure relationships in the aging white matter based on the Lifespan Human Connectome Project - Aging |
| Tyler D. Robinson1, Yutong L. Sun1, Paul T. H. Chang1, and J. Jean Chen1,2,3 | ||
1Rotman Research Institute, Baycrest, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: White Matter, Perfusion This study examined baseline and age-related differences in white matter perfusion and microstructural integrity across ten tracts of interest using 535 adult subjects of the Human Connectome Project in Aging. Whole-brain and tractwise relationships were identified between age, cerebral blood flow, mean diffusivity, and fractional anisotropy. Additionally, regional differences in age-related perfusion and microstructural trajectories were identified, representing one of the first direct examinations of regional variation in white matter perfusion in aging. |
| 1131 | 9:11
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Adults with hypertension exhibit lower cerebral myelin content. |
| John Laporte1, Mary Faulkner1, Zhaoyuan Gong1, Maryam Alsameen1, Mohammad A.B.S Akhonda1, Curtis Triebswetter1, Matthew Kiely1, and Mustapha Bouhrara1 | ||
1Laboratory of Clinical Investigations, National Institute on Aging, Baltimore, MD, United States |
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Keywords: White Matter, Relaxometry Hypertension is a major risk factor for a myriad of neurodegenerative diseases. However, the effect of hypertension on cerebral microstructure, especially myelination, remains poorly understood. We employed multicomponent MR relaxometry and DTI to investigate the association between hypertension and cerebral microstructural integrity, with a focus on myelin content, in a cohort of cognitively unimpaired adults. Our results indicate that adults with hypertension exhibit significantly lower cerebral microstructural integrity and axonal myelination as compared to controls across, several white matter structures. |
| 1132
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9:19
|
In-vivo water gap mapping as a new myelin packing marker |
| Rona Shaharabani1 and Aviv Mezer1 | ||
1Edmond & Lily Safra Center for Brain Science, The Hebrew University, Jerusalem, Israel |
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Keywords: White Matter, Multiple Sclerosis, Myelin water imaging, water content We established a new in-vivo measurement of the myelin water gap that can serve as a biomarker for myelination packing. In postmortem studies, it was shown that the water layer gap between healthy myelin membranes is compact. However, it changes during the demyelination and remyelination processes in MS patients. We developed a biophysical model based on the water fraction and multi-compartment T2 to estimate the water gap. Next, we designed a lipid phantom system with varying water gaps and validated it using Cryo-TEM. Our model successfully estimates the water gap in-vitro and shows a reliable estimation for in-vivo healthy volunteers. |
| 1133 | 9:27
|
Cross-subject variability of the optic radiation anatomy: a large-scale analysis |
| Bastien Herlin1,2,3, Ivy Uszynski1, Maëlig Chauvel1, Cyril Poupon1, and Sophie Dupont2,3 | ||
1BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, France, 2AP-HP, Epilepsy Unit, GH Pitié-Salpêtrière-Charles Foix, Paris, France, 3Sorbonne Université, Paris, France |
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Keywords: White Matter, Brain Optic radiations are tracts of importance for neurosurgery, especially their path within the temporal lobe. Using an advanced analysis pipeline relying on probabilistic tractography and fiber clustering, we processed the diffusion MRI data of the 1065 subjects of the HCP cohort and reconstructed a reference optic radiation bundle. From it, we subsequently extracted the optic radiations of each subject to study the variability of their morphometry. We identified a higher variability of their rostral extent, with a significant left-right difference (median distance to the temporal pole +/- standard deviation: left: 28.8 +/- 2.3 mm, right: 29.2 +/- 2.1 mm, p=1.10-8). |
| 1134 | 9:35
|
Mapping the myelin bilayer with short-T2 MRI: Translation to in vivo application |
| Emily Louise Baadsvik1, Markus Weiger1, Romain Froidevaux1, Christoph Michael Schildknecht1, Benjamin Victor Ineichen2, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland |
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Keywords: White Matter, Multiple Sclerosis, Myelin imaging Direct access to myelin content through the detection of signals from the myelin lipid-protein bilayer can be achieved using advanced short-T2 techniques. Here, we translate an existing procedure for mapping the myelin bilayer ex vivo to in vivo human application. Myelin maps are generated by fitting a three-component complex model to multi-TE (20–800µs) data acquired using the HYFI variant of the zero-TE sequence. The presented myelin maps exhibit expected white/grey matter contrast and are of reasonable quality. The step to in vivo represents an important advancement for myelin bilayer mapping as a promising emerging technique. |
| 1135 | 9:43
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Measuring water exchange in myelinated white matter using Magnetization Transfer (MT)-weighted constant gradient diffusion MRI (MT-cgdMRI) |
| Chenyang Li1,2, Els Fieremans1, Dmitry S. Novikov3, and Jiangyang Zhang1 | ||
1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, United States, 3NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: White Matter, Contrast Mechanisms, Water exchange In white matter, myelin forms a barrier for water exchange between the intra-axonal and extra-axonal compartments. Although myelin is not directly visible in conventional diffusion MRI (dMRI), it may affect dMRI measurements via exchange. In this study, we compared two ways to combine magnetization transfer (MT) preparation with constant gradient dMRI (cg-dMRI) to study the effects of myelin on water exchange rate. Our results demonstrate that MT preparation can modulate the sensitivity of cg-dMRI to exchange by suppressing signals from a portion of exchanging spins and that placing MT preparation is more effective before diffusion encoding than during diffusion encoding. |
| 1136 | 9:51
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Component Analysis based on Standard-deviation Attenuation (CASA): a new algorithm for the denoising of Diffusion MRI data |
| Mauro Zucchelli1, Christos Papageorgakis1, and Stefano Casagranda1 | ||
1Department of R&D Advanced Applications, Olea Medical, La Ciotat, France |
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Keywords: White Matter, Diffusion Tensor Imaging, Denoising, CASA Noise is a crucial problem that affects even the most advanced MRI techniques based on model fitting. It is therefore important to act on the raw data to remove as much noise as possible, while preserving the anatomical structures. Many techniques based on Principal Component Analysis (PCA) take advantage of the redundancy of information contained in multiphase data, to perform robust denoising. In this work, we introduce a new denoising method based on PC images. We show the added value of our technique on both the raw data and the derived fractional anisotropy map. |
| 1137 | 9:59
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A data-driven paradigm for myelin water imaging – validation on multicompartment phantom and multiple sclerosis patient |
| Sharon Zlotzover1, Noam Omer1, Neta Stern1, Dvir Radunsky1, Tamar Blumenfeld-Katzir1, and Noam Ben-Eliezer1,2,3 | ||
1The Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel, 2Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel, 3Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States |
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Keywords: White Matter, Multiple Sclerosis, Myelin Multicomponent (MC) T2 analysis is a common technique for probing sub-voxel compartmentation in myelinated tissues. However, the task of resolving the T2 spectra from a single voxel is ill-posed and highly sensitive to noise. Applying a spatially-global MC analysis of the tissue prior to the voxel-wise analysis promotes more stable solutions. Specifically, this approach identifies a specific set of MC T2 features which are then used for fitting the signal in each voxel. Preliminary results suggest that the new data-driven approach can accurately estimate myelin content and correctly estimate myelin content in healthy tissue and in multiple sclerosis lesions. |
| 1138 | 10:07
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Assessing microstructural and microvascular abnormalities in hospitalized COVID-19 patients using intravoxel incoherent motion imaging |
| Noa van der Knaap1,2,3, Simona Klinkhammer1,4, Alida A. Postma1,3, Arjen J.C. Slooter5,6, Janneke Horn7,8, Caroline M. van Heugten4,9, Paulien H.M. Voorter1,3, Merel M. van der Thiel1,3, Gerhard S. Drenthen1,3, Walter H. Backes1,3, David E.J. Linden1, Marcel J.H. Ariës1,2, and Jacobus F.A. Jansen1,3,10 | ||
1School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Intensive Care, Maastricht University Medical Center, Maastricht, Netherlands, 3Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 4Limburg Brain Injury Center, Maastricht University, Maastricht, Netherlands, 5Department of Intensive Care, University Medical Center Utrecht, Utrecht, Netherlands, 6UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands, 7Department of Intensive Care, University Medical Center Amsterdam, Amsterdam, Netherlands, 8Amsterdam Neuroscience, University Medical Center Amsterdam, Amsterdam, Netherlands, 9Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, Netherlands, 10Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Keywords: Infectious disease, COVID-19 Cerebral abnormalities are common in (severely affected) COVID-19 patients, although most reports only cover macrostructural abnormalities. Zooming in on microstructural abnormalities may better explain persisting COVID-19-related symptoms in COVID-19 survivors. Using intravoxel incoherent motion (IVIM) imaging, this study explored potential differences in microstructural and microvascular diffusivity between COVID-19 patients. No differences were found between patients admitted to the intensive care unit (ICU) (n=40) and general ward (n=38). However, increased disease severity in COVID-19 ICU patients was found to be associated with increased interstitial fluid content in the normal appearing white matter. |
8:15
|
Clinical Value of Quantitative MRI | |
| Christopher Hess1 | ||
1UCSF, United States |
8:35
|
New Technologies for Quantitative MRI | |
| Mariya Doneva1 | ||
1Philips Research Hamburg, Hamburg, Germany |
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Keywords: Image acquisition: Quantification This lecture will provide an overview of the latest advances in MRI techniques that enable quantification of tissue properties. Specific topics that will be covered include approaches for fast quantitative imaging and techniques that aim at improving the accuracy of QMRI. Remaining challenges in quantitative MRI will be briefly discussed as well as potential new research directions. |
| 1139 | 8:55
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Quantitative diffusion and Kurtosis MRI in the evaluation of endometrial cancer: validation with histopathology |
| Alessandra Maiuro1,2, Francesca Di Stadio2, Serena Satta3, Giorgia Perniola4, Innocenza Palaia4, Angelina Pernazza3, Carlo Della Rocca3, Carlo Catalano3, Lucia Manganaro3, and Silvia Capuani1,2 | ||
1Physics, CNR Institute for Complex Systems (ISC), Rome, Italy, 2Physics, Sapienza University of Rome, Rome, Italy, 3Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy, 4Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy |
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Keywords: Pelvis, Cancer, Pelvis, Endometrium, Endometrial cancer, IVIM, Kurtosis To ameliorate the Endometrial cancer (EC) diagnosis and prognosis, IVIM and KURTOSIS models were used to elaborate DWIs obtained from 18 with EC and 20 healthy women. The b-values were 0,30,50,150,500,800,1000,1500,2000,2500s/mm2. DWIs were noise-corrected considering a homomorphic approach. For each EC subject, ROI in the tumor (T) and peritumoral (PT) area were analysed and endometrial area in healthy (H) subjects was also obtained. IVIM and Kurtosis parameters were quantified. K, which quantifies tissue’s complexity, is significantly higher in T and PT than in H. f is higher in PT compared to the other areas, highlighting the perfusive nature of EC. |
| 1140 | 9:03
|
Feasibility of Highly-accelerated High b-value Multi-shot Diffusion Weighted Imaging by Using Parametric POCSMUSE and Kurtosis Model |
| Shihui Chen1 and Hing-Chiu Chang1,2 | ||
1The Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 2Multi-scale Medical Robotics Center, Hong Kong, Hong Kong |
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Keywords: Image Reconstruction, Diffusion/other diffusion imaging techniques, high b-value diffusion weighted imaging, multi-shot diffusion-weighted imaging High b-value DWI is promising in detection of white matter pathology and infarctions. However, the disadvantages of the acquired high b-value DWI, such as insufficient SNR and image distortions, prohibits its clinical application. Though the feasibility of computed high b-value has been estimated in prostate cancer, the parameters derived from low b-value images cannot be used for diffusion kurtosis model fitting and achieved inferior performance at high b-value. In this study, we proposed a framework based on parametric POCSMUSE and kurtosis model to generate multiple high b-value images with comparable image quality to MUSE from highly-accelerated high b-value DWI. |
| 1141
|
9:11
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Widespread, depth-dependent microstructural damage in the cortex of children with focal epilepsy: A quantitative T1 and T2 mapping study |
| Chiara Casella1, Katy Vecchiato1,2, Daniel Cromb1, Yourong Guo1, Emer Hughes1, Louise Dillon1, Elaine Green1, Kathleen Colford1, Anthony Price1, Lucilio Cordero Grande3,4,5,6, Tobias C. Wood7, Shaihan Malik3, Rui Pedro A. G. Teixeira3, David W. Carmichael3, and Jonathan O'Muircheartaigh1,2,8 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 3Department of Biomedical Engineering, King's College London, London, United Kingdom, 4Biomedical Image Technologies, ETSI Telecomunicación, Madrid, Spain, 5Universidad Politécnica de Madrid, Madrid, Spain, 6Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain, 7Department of Neuroimaging, King's College London, London, United Kingdom, 8MRC Centre for Neurodevelopmental Disorders, London, United Kingdom |
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Keywords: Epilepsy, Relaxometry, Paediatric We assessed cortical microstructure in children with drug-resistant focal epilepsy using T1 and T2 relaxometry (qT1 and qT2). We show widespread, depth-mediated qT1 and qT2 increases, and alterations in intracortical organisation in patients. Changes did not correlate with clinical parameters, suggesting that they may be independent of disease severity. Using a random forest algorithm, we also show that qT1 and qT2 surface-features from patients with radiologically defined abnormalities (MRI-positive) and controls, can classify patients without reported radiological abnormalities (MRI-negative). This suggests a common imaging endophenotype of focal epilepsy irrespective of visible abnormalities that may be present at a pre-symptomatic disease-stage. |
| 1142
|
9:19
|
T1 and T2 Mapping Using Highly Sparse Unsuppressed Water Signals from MRSI Scans with Generalized Series-Assisted Low-Rank Tensor Modelling |
| Yudu Li1,2, Rong Guo1,3, Yibo Zhao1,4, Wen Jin1,4, Chao Ma5,6, Shirui Luo2, Georges El Fakhri5,6, Yao Li7, Maria Jaromin2, Volodymyr Kindratenko2,4, Brad Sutton1,2,8,9, and Zhi-Pei Liang1,2,4 | ||
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Siemens Medical Solutions, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Radiology, Harvard Medical School, Boston, MA, United States, 6Radiology, Massachusetts General Hospital, Boston, MA, United States, 7School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 8Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 9Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging MR spectroscopic imaging (MRSI) without water suppression provides a unique opportunity to use the unsuppressed water spectroscopic signals for T1 and T2 mapping. This work presents a new image reconstruction method for reconstructing the T1/T2 maps from the highly sparse MRSI data. This method uses a novel generalized series-assisted low-rank tensor model to absorb the high-quality reference MRSI images to constrain the spatial-spectral-parametric variations. Experimental results demonstrated very encouraging reconstruction performance. |
| 1143 | 9:27
|
Bilateral asymmetry of parenchymal kinetics from ultrafast DCE-MRI predicts HER2+ breast cancer response to neoadjuvant chemotherapy |
| Zhen Ren1, Federico D. Pineda2, Frederick M. Howard3, Hiroyuki Abe1, Kirti Kulkarni1, Rita Nanda3, Nora T. Jaskowiak4, and Gregory S. Karczmar1 | ||
1Department of Radiology, The University of Chicago, Chicago, IL, United States, 2Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Medicine - Section of Hematology/Oncology, The University of Chicago, Chicago, IL, United States, 4Department of Surgery, The University of Chicago, Chicago, IL, United States |
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Keywords: Breast, Cancer, HER2-positive breast cancer We retrospectively reviewed data from 28 patients with HER2-positive breast cancer treated with neoadjuvant chemotherapy (NAC) who underwent a protocol that included ultrafast DCE-MRI (temporal resolution = 3 – 9 seconds) for the first minute after contrast administration prior to NAC. We measured quantitative kinetic background parenchymal enhancement parameters (kBPEs) from ipsi- and contra-lateral normal parenchyma separately to quantify bilateral parenchymal enhancement asymmetry. The results show that HER2-positive patients with similar pre-NAC $$$K^{trans}$$$ in ipsi-and contralateral normal parenchyma were more likely to achieve pathologic complete response post NAC. |
| 1144 | 9:35
|
Direct estimation of pharmacokinetic parameters of DCE-MRI from raw k-space data with model-based reconstruction |
| Natalia V Korobova1, Susanne S Rauh2, Marian A Troelstra1, Matthew R Orton3, Eric M. Schrauben1, Oliver Maier4, Aart J Nederveen1, and Oliver J Gurney-Champion1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands, 2Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Amsterdam, Netherlands, 3Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 4Institute of Medical Engineering, Technical University Graz, Graz, Austria |
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Keywords: Contrast Agent, Quantitative Imaging, Model-based reconstruction Dynamic contrast enhanced (DCE) MRI is a minimally invasive technique that is able to quantitatively investigate the tumor vasculature microenvironment. Such information shows great potential for treatment stratification and response monitoring. However, DCE typically suffers from low spatial resolution, Rician noise bias, and errors due to complex perfusion modeling. Model-based reconstruction, in which DCE parameters are estimated directly from k-space, may overcome these shortcomings. In this study, we implemented model-based reconstruction for DCE-MRI data, validated it in simulations, and showed its performance in-vivo. With model-based reconstruction the estimated parameter maps exhibited less noise and preserved more anatomical details. |
| 1145 | 9:43
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Investigating spinal cord perfusion impairment in degenerative cervical myelopathy (DCM) using Intravoxel Incoherent Motion (IVIM) MRI |
| Anna Lebret1, Simon Lévy2, Nikolai Pfender1, Mazda Farshad3, Virginie Callot4,5, Armin Curt1, Patrick Freund1,6, and Maryam Seif1,6 | ||
1Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland, 2MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia, 3Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland, 4Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 5APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 6Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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Keywords: Spinal Cord, Neurodegeneration, Degenerative Cervical Myelopathy Degenerative cervical myelopathy (DCM) is the most common form of non-traumatic spinal cord injury, mainly caused by chronic cervical cord compression. Impaired spinal cord perfusion is a central pathophysiological tenet in DCM patients. This study aims at investigating non-invasively DCM-induced changes of blood perfusion in the spinal cord above a cervical myelopathy using quantitative MRI techniques. Cardiac-gated intravoxel incoherent motion (IVIM) 3T MRI, sensitive to perfusion, was applied to the cervical cord (C1-C3) in 25 DCM patients and 27 healthy controls. DCM showed tissue-specific perfusion impairment. IVIM maps suggested remote hemodynamic deficit induced by cervical cord compression in DCM. |
| 1146 | 9:51
|
IVIM reconstruction from highly under-sampled DW-PROPELLER acquisition data via synthetic data-driven physics-informed deep learning |
| Jiechao Wang1, Wenhua Geng1, Jian Wu1, Taishan Kang2, Zhigang Wu3, Jianzhong Lin2, Congbo Cai1, and Shuhui Cai1 | ||
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China, 2Department of Radiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China, 3Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China |
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Keywords: Quantitative Imaging, Diffusion/other diffusion imaging techniques A synthetic data-driven physics-informed network (SDDPI-Net) was proposed for intravoxel incoherent motion (IVIM) mapping based on highly under-sampled diffusion-weighted turbo spin echo PROPELLER (DW-TSE-PROPELLER) data. This reconstruction network directly estimated distortion-free and artifacts-free IVIM parameters by explored data redundancy in the k-b space and IVIM bi-exponential model with synthetic training data. The results of human brain experiments show that our method can significantly improve the accuracy of IVIM maps with 6´ under-sampled DW-TSE-PROPELLER than other methods. |
| 1147
|
9:59
|
Noninvasive diagnosis of clinically significant portal hypertension with MR elastography, T1, and T1ρ mapping of the liver and spleen |
| Octavia Bane1,2, Efe Ozkaya1,2, Paul Kennedy1,2, Aaron Fischman1, Swan Thung3, and Bachir Taouli1,2 | ||
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Liver, Quantitative Imaging, Portal Hypertension, Clinically Significant Portal Hypertension In this prospective study, we explored the diagnostic value of MR elastography (MRE) as well as T1-pre and post-gadoxetate contrast at the hepatobiliary phase and T1ρ mapping of the liver and spleen for noninvasive diagnosis of clinically significant portal hypertension (CSPH) in patients with liver disease. 2D MRE liver (r=0.457, p<0.001) and spleen stiffness (r=0.438, p<0.001) showed a strong significant correlation with portal pressure measurement based on hepatic venous pressure gradient (HVPG). 2D MRE spleen stiffness outperformed other imaging parameters for prediction of CSPH [AUC = 0.867 (0.764-0.970)]. |
| 1148
|
10:07
|
Image-Space Self-Navigation for Respiratory Motion Compensation in 2D Axial Radial Free-Breathing MRE of the Liver |
| Timoteo I. Delgado1,2, Sevgi Gokce Kafali1,3, Shu-Fu Shih1,3, Timothy R. Adamos4, Shahnaz Ghahremani1, Kara L. Calkins5, Xiaodong Zhong6, Vibhas Deshpande7, Bradley D. Bolster Jr.8, and Holden H. Wu1,2,3 | ||
1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine, University of California Los Angeles, Los Angeles, CA, United States, 3Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 4Gastroenterology, University of California Los Angeles, Los Angeles, CA, United States, 5Pediatrics, University of California Los Angeles, Los Angeles, CA, United States, 6Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 7Siemens Medical Solutions USA, Inc., Austin, TX, United States, 8Siemens Medical Solutions USA, Inc., Salt Lake City, UT, United States |
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Keywords: Motion Correction, Liver Previous work has proposed self-navigated golden-angle (GA) radial free-breathing (FB) MR elastography (MRE) of the liver. This work employed a standard DC-based motion compensation framework that proved suboptimal. Here we propose an image-space based motion-compensation framework for 2D free-breathing radial MRE. The proposed method is compared to the standard DC-based method by measuring the signal-to-noise (SNR) after self-navigated motion-compensation by each method (8 subjects). The median (interquartile range) SNR across subjects was 4.8 (3.6-5.7) and 6.8 (6.3-7.5) for the standard and proposed methods, respectively. Inclusion of image-space data may allow for more robust motion compensation for 2D radial axial acquisitions. |
| 1149 | 8:15
|
Low spatial-frequency ripple artifacts in layer-fMRI EPI: Identification, cause, and mitigation strategies with Dual-polarity readout |
| Renzo Huber1, Rüdiger Stirnberg2, David A Feinberg1,3,4, Samantha J Ma5, Philipp Ehses2, Omer Faruk Gulban1,6, Jonathan R Polimeni7, Kenshu Koiso1,8, Emily Ma1, Alexander JS Beckett3,4, Tony Stöcker2, Peter Bandettini9, and Benedikt A Poser1 | ||
1Maastricht University, Maastricht, Netherlands, 2German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 3Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 4Advanced MRI Technologies, Sebastopol, CA, United States, 5Siemens Medical Solutions USA, Inc., Berkeley, CA, United States, 6Brain Innovation, Maastricht, Netherlands, 7Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 8Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan, 9National institutes of HEalth, Bethesda, MD, United States |
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Keywords: Artifacts, fMRI, layer-fMRI, UHF, EPI High-resolution layer-fMRI has great potential to inform network-neuroscience. However, it is limited by EPI artifacts. Here, we discuss a class of fuzzy EPI ghosts arising from asymmetric trapezoidal gradients with ramp sampling. A meta analysis across layer-fMRI datasets finds this artifact everywhere, without exceptions. We believe that this artifact is constraining spatiotemporal resolutions more than SNR. In this abstract we aim to raise awareness for this artifact and evaluate mitigation strategies: dual-polarity EPI. We show that dual-polarity EPI allows layer-fMRI to break the barriers of current resolution limits: It allows 0.53mm imaging at 3T, and whole-brain 0.6mm fMRI at 7T. |
| 1150 | 8:23
|
The Effect of Respiratory and Cardiac Motion States on B0 Shimming at 3T |
| Yuheng Huang1,2, Xingmin Guan1, Xinheng Zhang1,2, Liqi(Richard) Tang 1, Ghazal Yoosefian1, Xiaoming Bi3, Fei Han3, HsuLei Lee4, Hui Han4, Anthony Christodoulou4, Debiao Li4, Rohan Dharmakumar1, and Hsin-Jung Yang4 | ||
1krannert cardiovascular research center, Indiana University school of medicine, Indianapolis, IN, United States, 2Bioengineering, UCLA, LA, CA, United States, 3Siemens Healthineers, Malvern, PA, United States, 4Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Artifacts, High-Field MRI, Motion-resolved field map, cardiac shimming B0 inhomogeneity imposes imaging artifacts on CMR images and compromises the reliability of popular B0-sensitive sequences such as SSFP at 3T. B0 shimming is the standard way to improve the B0 field. However, motion-induced field inhomogeneity is an unknown factor in routine practice and compromises B0 shimming. Here, we adopted a motion-resolved mGRE CMR sequence to investigate the cardiac B0 field perturbation caused by cardiac and respiratory motion. We found that respiratory motion has more impact on field inhomogeneity. We recommend acquiring a field map for shimming under an end-expiration breath-hold for better shimming and imaging at 3T CMR. |
| 1151
|
8:31
|
Data acquisition strategies to mitigate cardiac-induced noise in quantitative R2* maps of the brain |
| Quentin Raynaud1, Thomas Dardano1,2, Christopher Roy3, Jérôme Yerly3,4, Tobias Kober3,5,6, Ruud B. van Heeswijk3, and Antoine Lutti1 | ||
1Department for Clinical Neuroscience, Laboratory for Research in Neuroimaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Physics section, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Keywords: Artifacts, Relaxometry Cardiac pulsation enhances the noise level in MR images of the brain and reduces the sensitivity of the data in studies of brain disease. We propose two data acquisition strategies that mitigate cardiac-induced noise in quantitative brain maps of the MRI parameter R2*. The first strategy sets the number of samples at each k-space location according to the local level of cardiac-induced noise. The second strategy adjusts data acquisition in real-time to acquire the data most sensitive to cardiac-induced noise during the diastolic period of the cardiac cycle. |
| 1152 | 8:39
|
Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging |
| Chong Chen1, Yingmin Liu2, Yu Ding3, Mathew Tong4, Yuchi Han4, and Rizwan Ahmad5 | ||
1Biomedical Engineering, The Ohio State Univerity, Columbus, OH, United States, 2Davis Heart and Lung Research Institute, The Ohio Sate University, Columbus, OH, United States, 3Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, 4Internal Medicine, The Ohio State University, Colubmus, OH, United States, 5Biomedical Engineering, The Ohio Sate University, Columbus, OH, United States |
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Keywords: Artifacts, Artifacts We propose a novel method to automatically identify and discard coils that strongly contribute to image artifacts. This is achieved by projecting coil images to the space spanned by the ESPIRiT coil sensitivity maps. The proposed method is evaluated using the real-time cine data collected from twelve volunteers during exercise. The artifacts in the reconstructed real-time cine images are suppressed significantly with the proposed coil selection method. |
| 1153
|
8:47
|
Optimized Flow Compensation for Wave-CAIPI Post-Contrast 3D-T1 MPRAGE |
| Min Lang1, Azadeh CD Tabari1, Komal Awan1, Wei Liu2, Clifford Bryan3, Wei-Ching Lo3, Daniel Nicolas Splitthoff4, Stephen Cauley1, Huang Susie1, and Conklin CD John1 | ||
1Massachusetts General Hospital, Boston, MA, United States, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3Siemens Medical Solutions USA, Boston, MA, United States, 4Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Artifacts, Data Acquisition, MR Value, Clinical Application, Neuro, Artifacts, Flow, Data Acquisition Flow-related artifacts have been consistently observed in highly accelerated Wave-CAIPI post-contrast 3D-T1 MPRAGE and have an atypical appearance. Such artifacts introduce a diagnostic conundrum as they can mimic enhancing lesions and may require callback for repeat imaging, posing a critical barrier to wider clinical adoption of this technique. To address this, we developed an optimized flow-mitigated Wave-CAIPI post-contrast 3D T1 MPRAGE acquisition, tested it in a novel flow phantom, and deployed it in 17 patients undergoing contrast-enhanced brain MRI. Flow-mitigation was successful at reducing flow-related artifacts in most cases without sacrificing SNR, gray-white matter contrast, or enhancing lesion conspicuity. |
| 1154
|
8:55
|
Dixon-Based B0-Navigation to Correct B0 Drift and B0 Fluctuations in Radial Stack-Of-Stars Multi-Echo Gradient Echo Imaging |
| Jonathan K. Stelter1, Mingming Wu1, Johannes Raspe1, Philipp Braun1, Christof Boehm1, Kilian Weiss2, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Hamburg, Germany |
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Keywords: Artifacts, Motion Correction Multi-echo gradient-echo imaging is known to be affected by temporally varying B0 effects, including B0 drifts and respiratory motion-induced B0 fluctuations. The radial stack-of-stars trajectory enables the oversampling of the k-space center and has been previously employed for B0-navigation without the consideration of fat. The present work develops a methodology for Dixon-based B0-navigation to correct for B0 drift and B0 fluctuations in stack-of-stars multi-echo gradient-echo imaging for body imaging. Simulations and in vivo measurements show the advantage of the Dixon-based B0-navigation in correcting quantification errors in proton density fat fraction, T2* and field-map, when using stack-of-stars multi-echo gradient-echo acquisitions. |
| 1155
|
9:03
|
Dynamic field correction for improved susceptibility weighted imaging with FID-navigated 3D EPI |
| Mustafa Utkur1,2, Tess E Wallace1,2, Tobias Kober3,4,5, Camilo Jaimes1,2, Simon K Warfield1,2, Sila Kurugol1,2, and Onur Afacan1,2 | ||
1Radiology, Harvard Medical School, Boston, MA, United States, 2Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 3Advanced Clinical Imaging Technology Group, Siemens Healthcare International AG, Lausanne, Switzerland, 4Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Keywords: Artifacts, Susceptibility 3D EPI is a clinically promising alternative for susceptibility weighted imaging due to multi-shot acceleration. However, achieving submillimeter resolution with 3D EPI is challenging as shot-to-shot B0 variations result in artifactual images that limit detection of small veins which can be decisive for detection of the central vein sign in multiple sclerosis. FID navigators have been shown to estimate phase drifts in EPI sequences. We demonstrate that FID-navigated 3D EPI acquisitions enable correction for phase-induced distortions and achieve high-quality submillimeter-resolution susceptibility weighted images. |
| 1156 | 9:11
|
Diffusion-weighted MRI of the spinal cord near metal implants: A rapid TSE approach with multispectral imaging and reduced field of view |
| Zhiqiang Li1, Melvyn B Ooi2, Rory KJ Murphy1, John P Karis1, and Richard D Dortch1 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Philips Healthcare, Houston, TX, United States |
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Keywords: Artifacts, Artifacts, metal, implant, spinal cord, diffusion, multi-spectral imaging Diffusion-weighted (DW) spinal cord MRI based on single-shot EPI suffers from strong geometric distortion and signal loss artifacts. While strategies have been developed to reduce these artifacts in DW-EPI, their application in spinal cord DWI is challenging when metal implants are present near the spine. A multispectral DW-PROPELLER has been proposed to overcome this challenge; however, this requires long scan times. In this work, we developed a single-shot TSE technique with multispectral imaging and reduced FOV to achieve fast speed / increased SNR for spinal cord DWI near metals. Volunteer and patient results demonstrated reduced artifacts and improved speed/SNR performance. |
| 1157
|
9:19
|
Dynamic distortion correction using blip-rewound EPI and joint multi-echo reconstruction |
| Wenchuan Wu1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Keywords: Artifacts, Data Acquisition, EPI distortion In this work, we propose a new method for dynamic distortion correction by integrating a tailored EPI trajectory and a joint multi-echo reconstruction, which permits robust dynamic field mapping and distortion correction without compromising spatial resolution. The performance of the proposed method is demonstrated using in vivo experiments. |
| 1158 | 9:27
|
Using SMASH Spatial Harmonics to Slice-Encode Outflow Artefacts in bSSFP Imaging |
| Fadil Abbas Ali1, John P Finn1, and Mark Bydder1 | ||
1Radiology, The University of California, Los Angeles, Los Angeles, CA, United States |
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Keywords: Artifacts, Cardiovascular, bSSFP, parallel imaging, spatial harmonics, Cine, Outflow effects In the present of through plane flow in 2D bSSFP imaging, we used the variation coil sensitivity profile along the through-slice direction to estimate the spatial harmonics needed to slice-encode for outflowing spins. Estimating the outer partitions unfolded the outflowing spins from the target center slice with a faster acquisition time than our previous slice-encoding technique. |
| 1159 | 9:35
|
Clinical DIADEM diffusion-weighted-imaging (DWI) of the brain: Comparison with commercially available DWI techniques. |
| Myung-Ho In1, Norbert G Campeau1, Joshua D Trzasko1, Daehun Kang1, Kirk M Welker1, John III Huston1, Yunhong Shu1, and Matt A Bernstein1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Artifacts, Diffusion Tensor Imaging A novel distortion-free multi-shot diffusion-weighted-imaging (DWI), termed DIADEM (Distortion-free Imaging: A Double Encoding Method), was compared with commercially available state-of-the-art DWI techniques for clinical brain imaging. High-resolution distortion-free DWI is feasible within clinically acceptable acquisition times using the DIADEM technique, and demonstrated better performance than current commercially available DWI techniques. |
| 1160
|
9:43
|
Distortionless, free-breathing, and respiratory resolved 3D diffusion weighted imaging of the abdomen |
| Philip Kenneth Lee1, Xuetong Zhou1,2, Nan Wang1, and Brian Andrew Hargreaves1,2,3 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Bioengineering, Stanford University, Stanford, CA, United States, 3Electrical Engineering, Stanford University, Stanford, CA, United States |
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Keywords: Pulse Sequence Design, Diffusion/other diffusion imaging techniques, abdomen, free-breathing Abdominal imaging is frequently performed with uncomfortable breath holds, or respiratory triggering to reduce the effects of respiratory motion. Diffusion weighted sequences provide a useful clinical contrast but have prolonged scan times due to low SNR. These scans cannot be reliably completed in a single breath hold, and respiratory triggering has low scan efficiency. We present a respiratory resolved, diffusion-prepared 3D sequence that obtains distortionless diffusion weighted images during free-breathing. We describe techniques to address the myriad of challenges including: 3D shot-to-shot phase correction, respiratory binning, diffusion encoding during free-breathing, and robustness to off-resonance. |
| 1161 | 9:51
|
A Simultaneous Measurement of Opposite-Phase-Encoding EPI in a Single fMRI session for the Reduction of Acquisition Time and SAR at 7T |
| Seong Dae Yun1, Erhan Genc2, and N. Jon Shah1,3,4,5 | ||
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Juelich, Juelich, Germany, 2Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Dortmund, Germany, 3Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Juelich, Juelich, Germany, 4JARA - BRAIN - Translational Medicine, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany |
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Keywords: Pulse Sequence Design, fMRI, 7T, improved fMRI mapping accuracy, EPI, geometric-distortion correction, opposite phase-encoding and reduced acquisition time In high-resolution fMRI using EPI, geometric distortions typically seen in reconstructed images significantly hinder the accurate mapping of activated voxels. One method to correct for distortions is to acquire EPI data with an opposite phase-encoding direction. However, this method is usually implemented with an additional run of the same protocol, leading to a redundant measurement of parallel imaging calibration scans. Here, we present an EPI scheme that measures the opposite-direction data in a single fMRI session, substantially reducing the total acquisition time. We demonstrate more accurate functional mapping with the distortion correction in submillimetre whole-brain visual fMRI at 7T. |
| 1162 | 9:59
|
Segmented 3D GRE-EPI optimized for BOLD fMRI at 9.4T |
| Sebastian Mueller1,2, Jonas Bause1, Rüdiger Stirnberg3, and Klaus Scheffler1,2 | ||
1High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany, 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany |
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Keywords: Data Acquisition, fMRI A segmented 3D GRE EPI was adapted and optimized specifically for BOLD fMRI at a 9.4T MR system. While EPI is widely used in fMRI, especially at UHF its application becomes challenging for instance for long echo trains used at high spatial resolution. In this work, investigations on the stability of the system, tSNR, flexible sequence design, different temporal phase correction schemes, and efficient use of the limited SAR budget were performed. Finally, a protocol for BOLD fMRI of the motor cortex at 1.0mm nominal isotropic resolution (FOV=200x215x44mm³) with a volume TR of 3 seconds was set up. |
| 1163 | 10:07
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Simultaneous Motion Compensation and Image Reconstruction During Acquisition of 3D Radial MRI |
| Fatih Calakli1,2, Tess E. Wallace1,2, and Simon K. Warfield1,2 | ||
1Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Motion Correction, Brain High-resolution, 3D structural scans are susceptible to patient motion as they take several minutes or more to acquire. Radial MRI acquisitions are emerging as a motion-robust alternative to Cartesian trajectories. Most approaches involve co-registration of navigator images once the acquisition is complete. However, the time needed for co-registration of navigator images, coupled with the long reconstruction times required for high-resolution NUFFT, is a challenge for integration of motion-compensated non-Cartesian imaging into clinical protocols. In this work we developed a motion-compensated online gridding algorithm to perform adaptive motion compensated reconstruction overlapped with the acquisition. |
8:15
|
AI/ML Clinical Translation & Impact | |
| Greg Zaharchuk1 | ||
1Stanford University, United States |
8:35
|
AI/ML Emerging Technologies & Innovative Methods | |
| Mehmet Akçakaya1 | ||
1University of Minnesota, United States |
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Keywords: Image acquisition: Machine learning, Image acquisition: Image processing, Image acquisition: Reconstruction Artificial intelligence/machine learning (AI/ML) based techniques have gathered interest as a possible means to improve MRI processing pipelines, with applications ranging from image reconstruction from raw data to extraction of quantitative biomarkers from imaging data in post-processing. Our purpose is to review existing and emerging AI/ML methods for various MRI processing applications. |
| 1164 | 8:55
|
VORTEX-SS: Encoding Physics-Driven Data Priors for Robust Self-Supervised MRI Reconstruction |
| Arjun Desai1,2, Beliz Gunel1, Batu Ozturkler1, Brian A Hargreaves1,2, Garry E Gold2, Shreyas Vasanawala2, John Pauly1, Christopher Ré3, and Akshay S Chaudhari2,4 | ||
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Computer Science, Stanford University, Stanford, CA, United States, 4Biomedical Data Science, Stanford University, Stanford, CA, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, Artifacts Deep learning (DL) has demonstrated promise for fast, high quality accelerated MRI reconstruction. However, current supervised methods require access to fully-sampled training data, and self-supervised methods are sensitive to out-of-distribution data (e.g. low-SNR, anatomy shifts, motion artifacts). In this work, we propose a self-supervised, consistency-based method for robust accelerated MRI reconstruction using physics-driven data priors (termed VORTEX-SS). We demonstrate that without any fully-sampled training data, VORTEX-SS 1) achieves high performance on in-distribution, artifact-free scans, 2) improves reconstructions for scans with physics-driven perturbations (e.g. noise, motion artifacts), and 3) generalizes to distribution shifts not modeled during training. |
| 1165 | 9:03
|
A novel deep learning method for automated identification of the retinogeniculate pathway using dMRI tractography |
| Sipei Li1,2, Jianzhong He2,3, Tengfei Xue2,4, Guoqiang Xie2,5, Shun Yao2,6, Yuqian Chen2,4, Erickson F. Torio2, Yuanjing Feng3, Dhiego CA Bastos2, Yogesh Rathi2, Nikos Makris2,7, Ron Kikinis2, Wenya Linda Bi2, Alexandra J Golby2, Lauren J O’Donnell2, and Fan Zhang2 | ||
1University of Electronic Science and Technology of China, Chengdu, China, 2Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 3Zhejiang University of Technology, Hangzhou, China, 4University of Sydney, Sydney, Australia, 5Nuclear Industry 215 Hospital of Shaanxi Province, Xianyang, China, 6The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 7Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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Keywords: Nerves, Brain We present a novel deep learning framework, DeepRGVP, for the retinogeniculate pathway (RGVP) identification from dMRI tractography data. We propose a novel microstructure-supervised contrastive learning method (MicroSCL) that leverages both streamline labels and tissue microstructure (fractional anisotropy) for RGVP and non-RGVP. We propose a simple and effective streamline-level data augmentation method (StreamDA) to address highly imbalanced training data. We perform comparisons with three state-of-the-art methods on an RGVP dataset. Experimental results show that DeepRGVP has superior RGVP identification performance. |
| 1166
|
9:11
|
Semi-Supervised Learning for Spatially Regularized Quantitative MRI Reconstruction - Application to Simultaneous T1, B0, B1 Mapping |
| Felix Frederik Zimmermann1, Andreas Kofler1, Christoph Kolbitsch1, and Patrick Schuenke1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Berlin and Braunschweig, Germany |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence Typically, in quantitative MRI, an inverse problem of finding parameter maps from magnitude images has to be solved. Neural networks can be applied to replace non-linear regression models and implicitly learn a suitable spatial regularization. However, labeled training data is often limited. Thus, we propose a combination of training on synthetic data and on unlabeled in-vivo data utilizing pseudo-labels and a Noise2Self-inspired technique. We present a convolutional neural network trained to predict T1, B0, and B1 maps and their estimated aleatoric uncertainties from a single WASABITI scan. |
| 1167
|
9:19
|
AI-Assisted Iterative Reconstruction for CMR Multitasking |
| Zihao Chen1,2, Hsu-Lei Lee1, Yibin Xie1, Debiao Li1,2, and Anthony Christodoulou1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence CMR Multitasking is a promising approach for quantitative imaging without breath-holds or ECG monitoring but standard iterative reconstruction is too long for clinical use. Supervised artificial intelligence (AI) can accelerate reconstruction but lacks generalizability and transparency, and T1 mapping precision has not been sufficient. Here we propose an AI-Assisted Iterative (AAI) reconstruction which takes an AI reconstruction output as a “warm start” to a well-characterized iterative reconstruction algorithm with only 2 iterations. The proposed method produces better image fidelity and more precise T1 maps than other accelerated reconstruction methods, in less than 15 seconds (16x faster than conventional iterative reconstruction). |
| 1168 | 9:27
|
Feasibility of automatic patient-specific sequence optimization with deep reinforcement learning |
| Maarten Terpstra1,2, Sjors Verschuren1,2, Tom Bruijnen1,2, Matteo Maspero1,2, and Cornelis van den Berg1,2 | ||
1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR Diagnostics & Therapy, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Pulse Sequence Design, Machine Learning/Artificial Intelligence, Autonomous sequence optimization For MRI-guided interventions, tumor contrast and visibility are crucial. However, the tumor tissue parameters can significantly vary among subjects, with a range of T1, T2, and proton density values that may cause sub-optimal image quality when scanning with population-optimized protocols. Patient-specific sequence optimization could significantly increase image quality, but manual parameter optimization is infeasible due to the high number of parameters. Here, we propose to perform automatic patient-specific sequence optimization by applying deep reinforcement learning and reaching near-optimal SNR and CNR with minimal additional acquisitions. |
| 1169 | 9:35
|
Attention please: deep learning can reproduce fractional anisotropy microstructure maps with reduced input data but loses clinical sensitivity |
| Marta Gaviraghi1, Antonio Ricciardi2, Fulvia Palesi1, Wallace Brownlee2, Paolo Vitali3,4, Ferran Prados2,5,6, Baris Kanber2,5, and Claudia A. M. Gandini Wheeler-Kingshott1,2,7 | ||
1Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2NMR Research Unit, Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London (UCL), London, United Kingdom, 3Department of Radiology, IRCCS Policlinico San Donato, Milan, Italy, 4Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy, 5Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 6Universitat Oberta de Catalunya, E-Health Center, Barcelona, Spain, 7Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence, fractional anisotropy Quantitative maps obtained with diffusion weighted (DW) imaging such as fractional anisotropy (FA) are useful in pathologies. Often, to speed up acquisition time, the number of DW volumes acquired is reduced. We investigated the performance and clinical sensitivity of deep learning (DL) networks to calculate FA starting from different numbers of DW volumes. Using 4 or 7 volumes, clinical sensitivity was affected because no consistent differences between groups were found, contrary to our “one-minute FA” that uses 10 DW volumes. When developing DL for reduced acquisition data, the ability to generalize and biomarker sensitivity must be assessed. |
| 1170 | 9:43
|
Federated MRI Reconstruction with Deep Generative Models |
| Gokberk Elmas1,2, Salman Ul Hassan Dar1,2, Yilmaz Korkmaz1,2, Muzaffer Ozbey1,2, and Tolga Cukur1,2,3 | ||
1Department Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey |
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Keywords: Image Reconstruction, Machine Learning/Artificial Intelligence Generalization performance in learning-based MRI reconstruction relies on comprehensive model training on large, diverse datasets collected at multiple institutions. Yet, centralized training after cross-site transfer of imaging data introduces patient privacy risks. Federated learning (FL) is a promising framework that enables collaborative training without explicit data sharing across sites. Here, we introduce a novel FL method for MRI reconstruction based on a multi-site deep generative model. To improve performance and reliability against data heterogeneity across sites, the proposed method decentrally trains a generative image prior decoupled from the imaging operator, and adapts it to minimize data-consistency loss during inference. |
| 1171 | 9:51
|
Unsupervised learning for MRI cross-scanner harmonization |
| Grace Wen1, Vickie Shim1,2, Miao Qiao3, Justin fernandez1,2, Samantha Holdsworth2,4, and Alan Wang1,4 | ||
1Auckland Bioengineering Institue, university of Auckland, Auckland, New Zealand, 2Mātai Medical Research Institute, Gisborne, New Zealand, 3Department of Computer Science, Faculty of Science, University of Auckland, Auckland, New Zealand, 4Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand |
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Keywords: Multi-Contrast, Machine Learning/Artificial Intelligence, harmonization, normalization, reconstruction Harmonization is necessary for large-scale multi-site neuroimaging studies to reduce the variations due to factors such as image acquisition, imaging devices, and acquisition protocols. This so-called scanner effect significantly impacts multivariate analysis and the development of computational predictive models using MRI. Our approach utilized an unsupervised learning based model to build a mapping between MR data acquired from two different scanners. Results illustrate the potential of unsupervised deep learning algorithms to harmonize MRI data, as well as to improve downstream tasks by applying the harmonization. |
| 1172 | 9:59
|
Temporal-Structural Graph Convolutional Network for Knee Osteoarthritis Progression Prediction Using MRI from the Osteoarthritis Initiative |
| Jiaping Hu1, Zidong Zhou2,3, Junyi Peng2,3, Lijie Zhong1, Kexin Jiang1, Zhongping Zhang4, Lijun Lu2,3,5, and Xiaodong Zhang1 | ||
1Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University, GuangZhou, China, 2School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, GuangZhou, China, 3Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China, 4Philips Healthcare, GuangZhou, China, 5Pazhou Lab, Guangzhou, China |
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Keywords: Osteoarthritis, Machine Learning/Artificial Intelligence Identifying patients with knee osteoarthritis (OA) whom the disease will progress is critical in clinical practice. Currently, the time-series information and interactions between the structures and sub-regions of the whole knee are underused for predicting. Therefore, we propose a temporal-structural graph convolutional network (TSGCN) using time-series data of 194 cases and 406 OA comparators. Each sub-region was regarded as a vertex and represented by the extracted radiomics features, the edges between vertexs were established by the clinical prior knowledge. The multiple-modality TSGCN (integrating information of MRIs, clinical and image-based semi-quantitative score) performed best comparing to the radiomics and CNN model. |
| 1173
|
10:07
|
DSC-derived perfusion map generation from DCE MRI using deep learning |
| Haoyang Pei1,2, Yixuan Lyu2,3, Sebastian Lambrecht4,5,6, Doris Lin5, Li Feng1, Fang Liu7, Paul Nyquist8, Peter van Zijl5,9, Linda Knutsson5,9,10, and Xiang Xu1,5 | ||
1Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York City, NY, United States, 2Department of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York City, NY, United States, 3Image Processing Center, School of Astronautics, Beihang University, Beijing, China, 4Department of Neurology, Technical University of Munich, Munich, Germany, 5Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 6Institute of Neuroradiology, Ludwig-Maximilians-Universität, Munich, Germany, 7Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 8Department of Neurology, Johns Hopkins University, Baltimore, MD, United States, 9F.M Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 10Department of Medical Radiation Physics, Lund University, Lund, Sweden |
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Keywords: Machine Learning/Artificial Intelligence, Perfusion This study built a deep-learning-based method to directly extract DSC MRI perfusion and perfusion related parameters from DCE MRI. A conditional generative adversarial network was modified to solve the pixel-to-pixel perfusion map generation problem. We demonstrate that in both healthy and brain tumor patients, highly realistic perfusion and perfusion related parameter maps can be synthesized from the DCE MRI using this deep-learning method. In healthy controls, the synthesized parameters had distribution similar to the ground truth DSC MRI values. In tumor regions, the synthesized parameters correlated linearly with the ground truth values. |
| 1174
|
8:15
|
Modeling inflow effects in fast fMRI to quantify fluid flow |
| Baarbod Ashenagar 1,2, Daniel Gomez1,2,3, and Laura Lewis1,2 | ||
1Department of Biomedical Engineering, Boston University, Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Signal Modeling, Velocity & Flow, time-of-flight, flow-enhanced fMRI signal Fast fMRI has recently been shown to be an effective method for detecting dynamic changes in cerebrospinal fluid flow, enabling measurement of a critical process for maintenance of brain health. However, while the inflow signal measured using fast fMRI is a surrogate for the underlying flow dynamics, it does not directly reflect the velocity and dynamics of flow. To understand the mapping between flow and the flow-enhanced MR signals they generate, we developed and validated a mathematical forward model that uses velocity as input and simulates dynamic fMRI inflow signal intensities for each slice of the imaging volume. |
| 1175
|
8:23
|
Towards whole brain mapping of the hemodynamic response function |
| Maria Guidi1, Fabio Mangini1,2, Marta Moraschi1,3, Daniele Mascali1,3, Michela Fratini3,4, Silvia Mangia5, Fabrizio Frezza2, and Federico Giove1,3 | ||
1MARBILab, Enrico Fermi Research Center, Rome, Italy, 2Sapienza University, Rome, Italy, 3Fondazione Santa Lucia IRCCS, Rome, Italy, 4CNR-NANOTEC, Rome, Italy, 5CMRR, Minneapolis, MN, United States |
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Keywords: Signal Modeling, fMRI, HRF We characterized a deconvolved haemodynamic response function (dHRF) across the whole cortex exploiting a sine series expansion in a cohort of young healthy subjects from the Human Connectome Project. We report, for different tasks and brain regions, the amplitude, latency, time-to-peak and full-width at half maximum of the fitted BOLD response and of the dHRF. We show that each of those parameters vary throughout the cortex and, to a smaller extent, across subjects. Additionally, the use of a flexible model, like the one we explored in this study, reveals that the HRF in some brain regions deviates from canonicity. |
| 1176
|
8:31
|
Integrated heart-brain 4D flow MRI evaluation of hemodynamic coupling in healthy aging adults |
| Adam Richter1, Jackson E. Moore1, Maria Aristova1, Ann Ragin1, Susanne Schnell2, Emily Rogalski3, Michael Markl1, and Kelly Jarvis1 | ||
1Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Department of Medical Physics, Institute of Physics, University of Greifswald, Greifswald, Germany, 3Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States |
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Keywords: Data Analysis, Velocity & Flow, Cerebral arteries Age-related changes in cardiovascular hemodynamics may be associated with brain changes. However, this relationship is not clear since blood flow in the heart and brain are usually imaged and analyzed in separate exams and pipelines. We have developed a technique for parameter mapping in both the aorta and intracranial vessels to allow for integrated MRI evaluation of heart-brain hemodynamic coupling. This study demonstrates a single MRI study and analysis pipeline to facilitate more comprehensive, integrated heart-brain hemodynamic analysis in clinical and research settings. |
| 1177
|
8:39
|
Capillary-weighted velocity-selective ASL for subsecond fast fMRI |
| Daniel E. P. Gomez1,2,3, Laura D. Lewis1,3, Jonathan R. Polimeni1,2,4, and Divya S. Bolar5 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Biomedical Engineering, Boston University, Boston, MA, United States, 4Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, CA, United States |
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Keywords: Data Acquisition, fMRI This work evaluates capillary-weighted VS-ASL for subsecond functional cerebral blood flow (CBF) mapping with high microvascular specificity. Three experiments were conducted: one to demonstrate that capillary-weighted VS-ASL is mostly free from macrovascular contamination when compared to arterial-weighted VS-ASL, one to demonstrate that functional MRI is feasible with capillary-weighted VS-ASL at moderate repetition times, and one to show that, despite lower sensitivity, capillary-weighted functional MRI can be performed at subsecond temporal resolution. Our findings suggest that capillary-weighted VS-ASL may enable the study of fast functional CBF responses with high neuronal specificity. |
| 1178 | 8:47
|
Test-Retest Reliability of 3D Velocity-Selective Arterial Spin Labeling for Detecting Normal Variations of Cerebral Blood Flow |
| Feng Xu1,2, Dapeng Liu1,2, Dan Zhu1,2, Argye E. Hillis3, Arnold Bakker4, Anja Soldan3, Marilyn Albert3, Doris D. M. Lin1, and Qin Qin1,2 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University, Baltimore, MD, United States, 4Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Data Acquisition, Arterial spin labelling Velocity selective inversion (VSI) based velocity selective arterial spin labeling (VSASL) was recommended by a recent guideline paper. We conducted a test-retest study to evaluate the reliability of 3D VSI-VSASL. The correlations between repeated measures were 0.94/0.81 (within- /between-session) for individual absolute CBF and 0.99/0.98 for regional relative CBF. The intraclass correlation coefficients were 0.88/0.77 for absolute CBF and 0.92/0.85 for regional relative CBF. Between-subject variation in CBF was partially contributed by age and physiological parameters. VSI-VSASL demonstrates moderate to excellent reliability for detecting between-subject and between-region variations among healthy subjects, suggesting its merit in clinical applications. |
| 1179
|
8:55
|
Advances in Post-Perfusion Venous Territories Imaging with Displacement Spectrum Imaging (DiSpect) |
| Ekin Karasan1, Jingjia Chen1, Julian Maravilla1, Zhiyong Zhang2, Chunlei Liu1,3, and Michael Lustig1 | ||
1Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, United States, 2School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 3Helen Wills Neuroscience Institute, Berkeley, CA, United States |
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Keywords: Pulse Sequence Design, Perfusion DiSpect resolves the multi-dimensional displacement spectrum that spins exhibit between tagging and imaging. Previously, we showed that DiSpect can be used to trace blood draining from the capillary bed through the cerebral venous system. This work presents three innovations: 1) Validation of our results with flow phantom experiments and comparison of our in-vivo data with a detailed QSM-venogram. 2) Interleaved imaging to simultaneously probe the deep and superficial veins. 3) Use of a conformal head-cap array for imaging, with higher SNR, allowing dynamic measurement of vein drainage and observation of venous territories across large time scales. |
| 1180 | 9:03
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Modified dual-contrast multi-shot 3D EPI for distortion-free and fast acquisition of simultaneous MR angiography and venography (DEPSAV) |
| Yue Wu1,2,3, Dehe Weng4, Jing An4, Rong Xue1,2,3, Yan Zhuo1,2,3, and Zihao Zhang1,2,5 | ||
1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China, 4Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 5Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China |
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Keywords: Data Acquisition, Blood GRE-based vascular imaging suffers from the low acquisition efficiency. In this study, we presented a new 3D dual-contrast multishot-EPI based acquisition method called DESPAV for simultaneous MR angiography and venography. Full flow compensation for K-space center line and novel Center-out trajectory was implemented. A reconstruction pipeline was developed to correct for inter-shot phase errors, off-resonance induced artifact, and enable distortion-free multi-shot joint reconstruction. Preliminary results showed that DEPSAV can provide fast intracranial arterial and venous vasculature depiction with comparable contrast and image quality to 3D GRE-based TOF/SWI, while achieve ~3-fold reduction in acquisition time. |
| 1181 | 9:11
|
Quantitative transport mapping (QTM) of the brain with simulated microvasculature model |
| Renjiu Hu1,2, Qihao Zhang2,3, Dominick J. Romano2,3, and Yi Wang2,3 | ||
1Sibley School of Mechanical and Aerospace Engineering,, Cornell University, Ithaca, NY, United States, 2Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 3Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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Keywords: Quantitative Imaging, Arterial spin labelling We compared the quantitative mappings on the simulated the brain arterial spin labeling images with artificial microvasculature structures and perfusion properties. The QTM method gives similar quantification on blood flow as the traditional tracer kinetic model. |
| 1182
|
9:19
|
Age-related Vascular Changes in Choroid Plexus Evaluated Using High-resolution USPIO-Enhanced 7T MRI |
| Zhe Sun1,2, Chenyang Li1,2, Marco Muccio1, Li Jiang1, and Yulin Ge1 | ||
1Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Neurofluids, Aging The choroid plexus (ChP) is a highly vascularized structure that is important in CSF production and waste solute clearance. In this work, USPIO-enhanced 7T imaging was used to detect microvascular changes associated with normal aging. We showed improved susceptibility contrast of ChP vessels and surrounding stromal tissues on high-resolution USPIO-enhanced 2D T2*-weighted MRI. Both age-related sparser vasculature and distended stromal tissues were identified. ChP volume increases with age, whereas the difference between pre-/post-contrast quantitative susceptibility map (QSM) decreases with age (P<0.05); and vascular degenerative change may occur earlier than volume change. |
| 1183 | 9:27
|
Quantitative Flow Velocity in Cerebral Perforating Arteries with 7T MRI: the EUFIND study. |
| Stanley D.T. Pham1, Jari T. van Vliet2, Rick J van Tuijl2, Geert Jan Biessels3, Mauro Costagli4, Mark A. van Buchem5, Oliver Kraff6, Arno Villringer7, Mark E. Ladd8, Jeroen C.W. Siero2,9, Ludovic de Rochefort10, and Jaco J.M. Zwanenburg2 | ||
1UMC Utrecht, Utrecht, Netherlands, 2Radiology, UMC Utrecht, Utrecht, Netherlands, 3Neurology, UMC Utrecht, Utrecht, Netherlands, 4IMAGO7 Research Foundation, Pisa, Italy, 5Neuroradiology, Leiden University Medical Center, Leiden, Netherlands, 6Radiology, University Hospital Essen, Essen, Germany, 7Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 8German Cancer Research Center (DKFZ), Heidelberg, Germany, 9Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 10Centre for Magnetic Resonance in Biology and Medicine (UMR 7339), Marseille, France |
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Keywords: Data Acquisition, High-Field MRI, Harmonization, two dimensional phase contrast We analyzed multi-center blood flow velocity measurements in perforating arteries from 7T MRI with the two-dimensional phase-contrast (2D-PC) sequence (eight sites, comprising three MRI vendors). Analysis was performed with the software tool Small vessEL MRI MArkers (SELMA). Inter-rater reliability of SELMA was excellent with overall intra-class coefficients for number of vessels (Ndetected), mean velocity (Vmean) and velocity pulsatility index (vPI) of at least 0.84 for 2D-PC data from all MRI vendors. Inter-vendor differences were larger than the intra-vendor differences (coefficients of variation: 0.62 vs. 0.39, 0.21 vs. 0.12 and 0.39 vs. 0.12 for Ndetected, Vmean and vPI, respectively). |
| 1184 | 9:35
|
Hybrid multi-delay PCASL of time-encoded and variable-TR schemes for the assessment of cerebral perfusion in Moyamoya disease |
| Osamu Togao1, Makoto Obara2, Koji Yamashita3, Kazufumi Kikuchi4, Tatsuhiro Wada5, Chiaki Tokunaga5, Ryoji Mikayama5, Shota Ishida6, Hiroshi Hamano2, Lena Vaclavu7, Matthias J.P. van Osch7, Kim van de Ven8, Marc Van Cauteren2, and Kousei Ishigami4 | ||
1Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Philips Japan, Tokyo, Japan, 3Departments of Radiology Informatics and Network, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 4Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 5Division of Radiology, Department of Medical Technology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 6Department of Radiological Technology, Faculty of medical sciences, Kyoto College of Medical Science, Kyoto, Japan, 7C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 8Philips Healthcare, Best, Netherlands |
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Keywords: Stroke, Perfusion, Arterial Spin Labeling We have developed a multi-delay PCASL acquisition with a hybrid scheme, combining time-encoded and variable-TR schemes. This hybrid scheme combines the advantage of high SNR obtained with the time-encoded scheme with the timing flexibility of the variable-TR scheme. We investigated the abilities for CBF (cerebral blood flow) and ATT (arterial transit time) quantification in Moyamoya disease. The hybrid scheme provided a higher temporal SNR than the other two schemes. Although slight differences in the CBF and ATT measurements were found between the hybrid and the other two schemes, the differences were acceptable, considering the strong correlations and excellent agreements. |
| 1185 | 9:43
|
Clinical feasibility of contrast-enhanced ASL for blood-brain barrier water exchange rate measurements |
| Elizabeth Powell1, Ben Dickie2,3, Yolanda Ohene2,3, Geoff JM Parker1,4,5, and Laura M Parkes2,3 | ||
1Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 3Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom, 4Queen Square MS Centre, Institute of Neurology, University College London, London, United Kingdom, 5Bioxydyn Limited, Manchester, United Kingdom |
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Keywords: Quantitative Imaging, Neurofluids, Blood-brain barrier water exchange Contrast-enhanced ASL (CE-ASL) has been proposed as a method for measuring blood-brain barrier water exchange, and is a technique that could be used in conjunction with DCE/DSC-MRI to provide complementary information on brain vasculature.
We demonstrate in this work the clinical feasibility and consistency of the CE-ASL technique in simulations and in healthy volunteers. Using simulations, we characterise the expected accuracy and precision of parameter estimates. We then evaluate the consistency of CE-ASL measurements across six healthy volunteers. |
| 1186 | 9:51
|
Estimation of CSF pulsations at the craniospinal junction using pseudo-continuous arterial spin labeling |
| JaeGeun Im1, JunHee Kim1, and SungHong Park1 | ||
1KAIST, Daejeon, Korea, Republic of |
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Keywords: Neurofluids, Neurofluids, CSF pulsation, fMRI, CBF, pCASL To measure CSF pulsation and CBF signals simultaneously with pCASL, we measured the influence of pCASL label pulse on the CSF signal at the craniospinal junction and compared the CSF signal differences and PC stroke volume to estimate CSF pulsation with pCASL. Our results showed that the variability of CSF signals at the nearby position from label pulses was negatively correlated with PC stroke volume. Based on this, the labeling pulse used for CBF tagging in pCASL also can be used for CSF pulsation estimation, and it will allow us to measure CBF and CSF pulsation simultaneously. |
| 1187 | 9:59
|
Effects of free breathing on cerebrospinal fluid hydrodynamics: a study based on real-time phase-contrast MRI |
| Pan LIU1,2, Kimi Piedad Owashi1, Heimiri Monnier1, Serge Metanbou3, Cyrille Capel4, and Olivier Balédent1,2 | ||
1CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France, 2Medical Image Processing Department, Amiens Picardy University Hospital, Amiens, France, 3Radiology Department, Amiens Picardy University Hospital, Amiens, France, 4Neurosurgery Department, Amiens Picardy University Hospital, Amiens, France |
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Keywords: Neurofluids, Neurofluids, breathing effects, cerebrospinal fluid, real time phase contrast The effect of breathing on CSF is not well understood. Real-time phase-contrast MRI can quantify CSF flow continuously. A time-domain multi-parameter analysis method was developed to quantify the effect of free breathing on CSF. It was found that the cardiac period and the average stroke volume of CSF at second-to-third cervical vertebrae level and at the aqueduct were significantly increased during the expiratory phase, while the net flow of CSF was notably decreased. |
| 1188 | 10:07
|
3D quantitative-amplified Magnetic Resonance Imaging (3D q-aMRI) |
| Itamar Terem1, Nan Wang2, Paul Condron3, Kyan Younes4, Javid Abderezaei5, Berthy Feng 6, Hari Kumar3,7,8, Hillary Vossler9, Mehmet Kurt5, Katherine L. Bouman 6, Elizabeth Mormino4, Samantha Holdsworth3,10, and Kawin Setsompop1,2 | ||
1Electrical Engineering, Stanford, Stanford, CA, United States, 2Radiology, Stanford, Stanford, CA, United States, 3Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand, 4Neurology & Neurological Sciences, Stanford, Stanford, CA, United States, 5Mechanical Engineering, University of Washington, Seattle, WA, United States, 6Computing and Mathematical Sciences (CMS), Cal Tech, Pasadena, CA, United States, 7Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 8General Electric Healthcare, Victoria, Australia, 9Neurology, Stanford, Stanford, CA, United States, 10Faculty of Medical & Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand |
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Keywords: Neurofluids, Data Processing, amplified MRI (aMRI), Alzheimer`s disease Amplified Magnetic Resonance Imaging (aMRI) is a pulsatile brain motion visualization method that delivers ‘videos’ with high contrast and temporal resolution. aMRI has been shown to be a promising tool in various neurological disorders. However, aMRI currently lacks the ability to quantify the sub-voxel motion field in physical units. Here, we introduce a quantitative-aMRI (q-aMRI) algorithm, which quantifies the sub-voxel motion of the 3D aMRI signal and validates its precision using phantom simulations with realistic noise. In-vivo experiments on healthy volunteers demonstrated repeatability of the measurements, and differences in brain motion were observed in subjects with positive/negative amyloid PET. |
| 1189 | Pitch: 8:15 Poster: 8:15 Screen 1
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Fasciculus Axonal Connective Tissue Multiscale Imaging (FACTMI) - Connectome Mapping of Optic Nerve with 16 µm MRI at 14T and 0.1 µm histology |
| Walter Schneider1, Yijen Wu1, Alan Watson1, Kasia Kedziora1, Sudhir Pathak1, Yongxin Zhao2, Vijay Gorantla3, Jens Anders4, Rolf Polman5, and Klaus Scheffler5 | ||
1University of Pittsburgh, Pittsburgh, PA, United States, 2Carnegie Mellon University, Pittsburgh, PA, United States, 3Wake Forest University, Winston-Salem, NC, United States, 4University of Stuttgart, Stuttgart, Germany, 5Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
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Keywords: Quantitative Imaging, Brain Connectivity, Connectome, Histology, Phantom Accurate brain connectome mapping requires tracking fasciculus bundles of axons within tracts. In porcine optic nerve harvested tissue and TAXON diffusion phantom on a 14T magnet with a new linear coil array, we identify fasciculi with 16 µm resolution and follow TAXON fibers over centimeters from eye to LGN. MAGNIFY and bright field optical histology provide 0.1 & 0.25-micron resolution with accurate counts of the 1.2 million axons within fasciculi aligned with MRI and fasciculus wall structure. We use MRI and deep learning to predict the axon paths at each point and axon counts in each fasciculus. |
| 1190 | Pitch: 8:15 Poster: 8:15 Screen 2
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In vivo multimodal MRI of the healthy optic nerves |
| Antonio Ricciardi1, Marios C. Yiannakas1, Ratthaporn Boonsuth1, Rodas Ghilom Bogatsion1, Claudia A. M. Gandini Wheeler-Kingshott1,2,3, and Rebecca S. Samson1 | ||
1NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 3Brain Connectivity Research Center, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: Nerves, Quantitative Imaging The optic nerve (ON) is implicated in a variety of neurological disorders but is challenging to study through magnetic resonance imaging due to its small size and jittering. In this study, we developed an acquisition protocol and analysis pipeline that enables to produce quantitative proton density (PD), macromolecular tissue volume (MTV), T2* and T1 maps of the ON from a 20-minute scan. Results show good scan-rescan reproducibility of ON values, and agreement with regional brain values. Significant differences in PD, MTV and T1 were observed between left-right ON measures, and left-right fronto-temporal white matter, which warrant further investigation. |
| 1191 | Pitch: 8:15 Poster: 8:15 Screen 3
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Magnetization transfer imaging of patients with Guillain-Barre Syndrome |
| Alison R Roth1 and Richard D Dortch2 | ||
1Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States, 2Barrow Neurological Institute, Phoenix, AZ, United States |
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Keywords: Nerves, Magnetization transfer, Guillain-Barre Syndrome New biomarkers are needed in Guillain-Barre Syndrome to predict patient recovery and severe complications and aid in drug development. We propose using magnetization transfer (MT) MRI to measure myelin content to act as such a biomarker. We have shown the ability of the MT imaging to visualize the cauda equina, but further work is needed to confirm these differences and biomarker suitability. |
| 1192 | Pitch: 8:15 Poster: 8:15 Screen 4
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Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields |
| Xie Taofeng1,2, Cao Chentao3, Cui Zhuoxu3, Li Fanshi3, Wei Zidong3, Zhu Yanjie3, Li Ye3, Liang Dong3,4, Jin Qiyu1, Chen Guoqing1, and Wang Haifeng3 | ||
1Inner Mongolia University, Hohhot, China, 2Inner Mongolia Medical University, Hohhot, China, 3Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, shenzhen, China, 4Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), shenzhen, China |
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Keywords: Nerves, Multimodal, Ultrahigh Field, Artificial Intelligence, Multimodal MRI and PET are important modalities and can provide complementary information for the diagnosis of brain diseases because MRI can provide structural information of brain and PET can obtain functional information of brain. However, PET is usually missing. Especially, simultaneous PET and MRI imaging is not achievable at ultrahigh field in the current. Thus, synthetic PET using MRI at ultrahigh field is essential. In this paper, we synthetic PET using MRI as a guide by joint probability distribution of diffusion model (JPDDM). Meanwhile, We utilized our model in ultrahigh fields. |
| 1193 | Pitch: 8:15 Poster: 8:15 Screen 5
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Pathogenesis of Chiari Malformation:insights from morphology,neurobiology and hydrodynamics based on MR neuroimaging technology |
| Yishuang Wang1, Yun sen HE2, Meining Chen3, Yuting Wang1, and Longlin Yin1 | ||
1Radiology, Sichuan Provincial People's Hospital, Chengdu, China, 2Department of Neurosurgery, Sichuan Provincial People's Hospital, Chengdu, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Keywords: Nerves, Nerves The pathogenic mechanism of different clinical and radiologic manifestations of Chiari malformation I (CMI) is still unclear. Using MR morphology, neurobiology, and hydrodynamics techniques allow for a comprehensive assessment of CMI. FA values and CSF flow may well explain the correlation between white matter fiber tract, CMI pain, and compensations at other body parts. MRI technology helps us to better understand the pathogenic mechanism of CMI and can provide more valuable information in the diagnosis and treatment of CMI. |
| 1194 | Pitch: 8:15 Poster: 8:15 Screen 6
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MRI Assessment of the Therapeutic Effect of Combined Electroacupuncture and Stem Cells in Acute Peripheral Nerve injury |
| yueyao chen1, zhongxian pan1, fanqi meng1, xuewen yu2, qian xu1, leyu huang1, qiumei liang1, yanglei wu3, hanqing lyu1, and xiaofeng lin4 | ||
1Department of radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China, 2Department of pathology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China, 3MR Collaboration, SIEMENS Healthineers Ltd., Beijing, China, 4Department of Nuclear Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China |
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Keywords: Nerves, Nervous system, Electroacupuncture, Mesenchymal stem cells We aimed to verify the efficacy of bone mesenchymal stem cells (BMSCs) combined with electroacupuncture (EA) in the treatment of peripheral nerve injury (PNI) using pathology and MRI. In a rat model of sciatic nerve crush damage, we found that BMSCs and EA combined therapy improved axon and myelin regeneration synergistically and significantly decreased post-injury nerve edema, improved axon guiding factor, and expedited motor function recovery. This suggests that a combination of BMSCs and EA can provide both topological and biomolecular guidance to promote axonal extension, myelin regeneration, and functional recovery after PNI. |
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Altered white matter diffusion properties and gray matter volume in classical trigeminal neuralgia |
| Yang Zhang1, Wei Su2, Xiaoyu Du3, Rui Li4, Hang Zhao4, Zhaoping Wang1, Lei Feng1, liangjie lin5, and Kaihua Zhang2 | ||
1Department of Neurosurgery, Jining No. 1 People’s Hospital, Jining, China, 2School of Psychology, Shandong Normal University, Ji’nan, China, 3Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Victoria, Australia, 4Department of Radiology, Jining No. 1 People’s Hospital, Jining, China, 5Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Nerves, Diffusion Tensor Imaging, Trigeminal neuralgia, trigeminal nerve fiber Investigating microstructural changes in patients with classical trigeminal neuralgia (CTN) has contributed to understanding the pathological neural mechanism of CTN. This study aimed to reveal abnormalities of the trigeminal fiber bundles by combing MR diffusion tensor imaging (DTI) with voxel-based morphometry (VBM). 32 patients with CTN and 32 matched healthy controls were recruited with the main fiber bundle diffusion indices calculated and the whole-brain gray matter volume measured for each subject. Results showed that CTN exhibited microstructural changes in the trigeminal nerve fibers, and the changes might be associated with the pathogenesis of trigeminal neuralgia. |
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Multiparametric Quantitative MRI of Peripheral Nerves: A Reliability Study |
| Yongsheng Chen1, Jacob Baraz1, Stephanie Yan Xuan1, Ryan Castoro1, Yang Xuan2, Alison Roth3, Richard D. Dortch3, and Jun Li1,4 | ||
1Department of Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 2Department of Radiology, Wayne State University School of Medicine, Detroit, MI, United States, 3Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States, 4Department of Neurology, Houston Methodist Hospital, Houston, TX, United States |
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Keywords: Nerves, Nerves This study developed a multiparametric qMRI method to quantify fat fraction of leg muscles, myelin and axonal pathologies of peripheral nerves using MTR, MTsat, T1, PD, T2*, FA, MD, AD, RD, and nerve fascicular volume. The results will be applied in ongoing longitudinal studies to develop monitoring biomarkers in patients with polyneuropathies. |
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Associations Between Central Canal Stenosis, Resting State Functional Connectivity Networks, and Pain Perception |
| Jennifer Anne Cummings1, Madeline Hess1, Kenneth Gao1, Upasana Bharadwaj1, Misung Han1, Cynthia Chin1, Salvatore Torrisi1, Jennifer Townsend1, An Vu1, Valentina Pedoia1, and Sharmila Majumdar1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Nerves, Nervous system Chronic lower back pain remains difficult to characterize with imaging. With this study, we investigate the relationship between imaging-based brain and spine biomarkers in pain perception. We present relationships between resting state functional connectivity networks, automatic spinal canal stenosis grading, and patient-reported pain measures. Patients reporting severe pain show weaker connectivity in the Left Ventral Attention Network and stronger connectivity within the Salience network when compared to those reporting no pain or mild/moderate pain. The severe back pain group also shows a higher spinal canal stenosis grading. |
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Analysis of cerebral perfusion changes after microvascular decompression in patients with hemifacial spasm |
| Kuan Lv1, Aocai Yang1, Bing Liu1, Jixin Luan1, and Guolin Ma1 | ||
1China-Japan Friendship Hospital, Beijing, China |
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Keywords: Nerves, Brain We used the eASL technique to explore the mCBF, ATT and CBV alterations after MVD in patients with HFS. And found that the ATT values in the left superior frontal gyrus region 6 and the right precuneus region 1 were significantly increased in the L-HFS group after surgery compared with the preoperative ones. Furthermore, preoperative ATT values in the right precuneus 1 region were negatively correlated with mCBF values in the L-HFS group. It is suggested that these brain regions may play different roles in the underlying pathological mechanisms of HFS. |
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WITHDRAWN |
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MR neurography Aids in Detection of Longitudinal Brachial Plexus Nerve Root Alterations in Patients With Amyotrophic Lateral Sclerosis |
| Shanshan Wang1, Xiao Man1, Guangbin Wang1, Weibo Chen2, and Avneesh Chhabra3 | ||
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Philips Healthcare, Shanghai, China, 3UT Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Nerves, Nerves We assessed proximal-distal longitudinal signal and size alterations of brachial plexus nerve roots in amyotrophic lateral sclerosis (ALS) patients using 3D nerve-sheath signal increased with inked rest-tissue rapid acquisition of relaxation enhancement imaging (3D SHINKEI) . The conclusion confirmed proximal-distal longitudinal diameters and SNR values decreased significantly for brachial plexus nerve roots in ALS patients with larger differences in slopes compared to the HC. Thus, the size and signal alterations of brachial plexus nerve roots using 3D SHINKEI can be used to supplement clinical diagnosis for ALS patients. |
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Neurovascular decoupling in type 2 diabetes: A meta-analysis and an independent validation of Neuroimaging |
| Zeyang zeyang Li1, Ying Yu1, Guang-Bin Cui1, and Lin-Feng Yan1 | ||
1Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi’an 710038, Shaanxi, China, Xi’an, China |
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Keywords: Nerves, fMRI (resting state) Disrupted neurovascular (NV) coupling is considered as a potential mechanism of Type 2 diabetes mellitus (T2DM) induced mild cognitive impairment (MCI). The study quantitatively explored whether NV decoupling were associated with cognitive impairment in patients with T2DM by means of neuroimaging meta-analysis and an independent validation. In T2DM, NV uncoupling existed in many brain regions, and the degree of uncoupling was related to cognition. It contributed to a better understanding of the mechanism in T2DM cognitive impairment and would be a promising neuroimaging biomarker. This study combined meta-analysis and independent validation model can be extended to other similar studies. |
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Evaluation of Brachial Plexus Injuries in Infants with DTI and Tractography |
| Meltem Karatas1, Kader Karli Oguz1,2,3, Gulgun Sengul4, Akin Uzumcugil5, and Gokcen Coban2 | ||
1National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 2Department of Radiology, Hacettepe University, Ankara, Turkey, 3Department of Radiology, University of California, Davis, Sacramento, CA, United States, 4Department of Anatomy, Ege University, Izmir, Turkey, 5Department of Orthopedics and Traumatology, Hacettepe University, Ankara, Turkey |
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Keywords: Nerves, Diffusion Tensor Imaging, Brachial plexus, peripheral nerve tractography Neonatal brachial plexus injury (NBPI) is caused by traction on the neck during birth and presents with flaccid paralysis of the upper extremity. 10-20% of the cases result in neurological sequelae and require surgical intervention; the treatment decisions principally depend on the clinical assessments through the first six months of life. Early stratification of NBPI cases may lead to earlier intervention for severe injuries, better disease outcomes, and higher quality of life. Here, we investigated the use of DTI and tractography for infants with NBPI; our results suggest that this approach might be suitable as a diagnostic and prognostic tool. |
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Gender differences in brain response to infant emotional faces |
| Wei Su1, Xiaoyu Du2, Xianling Liu3, Zhenhua Sun4, Kaihua Zhang1, Mengxing Wang5, and Xiaoxia Du6 | ||
1School of psychology, Shandong Normal University, Ji’nan, China, 2Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Victoria, Australia, 3Department of Medicine Imaging, The People's Hospital of Jinan Central District, Jinan, China, 4School of information science and engineering, Linyi University, Linyi, China, 5College of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China, 6Department of Psychology, Shanghai University of Sport, Shanghai, China |
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Keywords: Nerves, fMRI (task based), Infant emotional faces, Empathy Exploring the neural processes of recognizing infant stimuli promotes better understandings of the mother-infant attachment mechanisms. Here combining Task-fMRI and resting-state fMRI investigated the effects of infants’ emotional faces on the brain activity of women and men. The task-fMRI showed that the brains of women and men reacted differently to infants’ faces, and these differential areas are in facial processing and empathetic networks. The rs-fMRI further showed that the connectivity of the default-mode network-related regions increased in women than men. These differences might facilitate women to more effective and quick adjustments in behaviors and emotions during the nurturing infant period. |
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Brain glutathione levels decrease with age and correlate with cognitive function |
| Xin Hu1, Min Zhao1, Jing Yang1, Longji Xu1, Weibo Chen2, Fuxin Ren1, and Fei Gao1 | ||
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Nerves, Aging Cognitive impairment and the improvement of oxidative stress are common in the aged. GSH is a key player to defend oxidative stress and avoid ferroptosis. We aim to explore the variation of brain GSH levels with age including anterior cingulate cortex, posterior cingulate cortex and occipital cortex, and to test whether GSH levels in these regions are associated with cognitive function. Our findings indicate that oxidative stress and ferroptosis abnormality caused by the decreased GSH levels may contribute to cognitive decline of the aged without a regional specificity manner. |
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Abnormal brain function and connectivity in patients with convergence insufficiency: A resting-state functional MRI study |
| Yuxia Wanng1, Ye Wu2, Huaiqiang Sun3, and Fei Li1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China., Chengdu, Sichuan, China, 2Department of Ophthalmology, Laboratory of Optometry and Vision Sciences, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China., Chengdu, Sichuan, China, 3Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China.Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China., Chengdu, Sichuan, China |
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Keywords: Nerves, Brain, Convergence insufficiency; brain function; functional connectivity; fALFF Convergence insufficiency (CI) is the most common binocular vision disorder in optometric clinics relevant to the dysfunction of the specific neural circuit, while the neural mechanism is unknown. Using the fractional amplitude of low-frequency fluctuations fALFF and seed-to-voxel analysis, we found increased fALFF in the left cerebellum crus 1 and increased functional connectivity between the left cerebellum crus 1 and the right cerebellum crus 1 in patients with CI than healthy controls, which showed positive correlations with the severity of symptoms. These findings provide evidence of altered brain function features underlying neurobiological mechanisms of patients with CI. |
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A brainstem-dedicated approach to assess the N1 sign using a 3T SWI |
| Sabrina Houidef1, Germain Arribarat1, and Patrice Péran1 | ||
1ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, Toulouse, France |
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Keywords: Parkinson's Disease, Parkinson's Disease, Neurodegeneration Because of its anatomical situation, the brainstem is difficult to image. With whole brain acquisitions, we end up with artifactual images. Our team developed a brainstem-dedicated T2*-weighted MRI acquisition method. Using this, we imaged the brain of sixteen healthy volunteers. This sequence was repeated 5 times for each volunteer. Our MRI protocol also consisted of a three-dimensional T1-weighted whole-brain sequence. The aim was to reduce the number of acquisitions required to visualize the nigrosome-1 by using image processing methods. We quantified the quality of the images by using image quality assessment indices and had one criterion: the visualization of nigrosome-1. |
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Functional brainstem imaging of sympathetic drive using MSNA coupled fMRI and SSNA coupled fMRI at ultra-high field. |
| Rebecca Glarin1, Luke Henderson2, Donggyu Rim3, and Vaughan Macefield3 | ||
1University of Melbourne, Parkville, Australia, 2University of Sydney, Sydney, Australia, 3Baker Heart and Diabetes Institute, Prahran, Australia |
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Keywords: Nerves, High-Field MRI, Brainstem Muscle sympathetic nerve activity (MSNA) is responsible for blood pressure control and skin sympathetic nerve activity (SSNA) for thermoregulation. This activity can be recorded through a process of microneurography. This nerve activity can be temporally coupled with fMRI to image the brainstem. With the use of ultra high field MRI we are able to image the subcortical and cortical regions responsible for these sympathetic nervous system processes. Brainstem imaging using this technique for the first time at high field, has identified with high specificity the rostral ventrolateral medulla (RVLM) when using MSNA coupled fMRI. |
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Hyperpolarized xenon-129 dissolved MRI based on two-point Dixon method |
| Hengjie Chen1, Jaime F Mata2, Y. Michael Shim2, John P. Mugler2, Xiaoping Hu1, Li Zhao3, An Liu4, and Kun Qing1,4 | ||
1University of California, Riverside, Riverside, CA, United States, 2University of Virginia, Charlottesville, VA, United States, 3Zhejiang University, Hangzhou, China, 4City of Hope National Medical Center, Duarte, CA, United States |
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Keywords: Lung, Hyperpolarized MR (Gas) In this work, a 2-point Dixon-based method is developed to provide separation of the hyperpolarized xenon-129 dissolved-phase magnetic resonance imaging (MRI) components for pulmonary applications. Based on analysis of data from 6 healthy volunteers and 20 patients with lung disease, the separated tissue and red blood cell (RBC) components obtained from this method are highly consistent with those from the previously-described 3-point Dixon method. The 2-point Dixon based method has the potential to greatly improve the signal-to-noise ratio for dissolved-phase MRI while still maintaining accurate tissue/RBC separation. |
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Lung perfusion imaging: influence of signal-to-concentration transformation method and comparison with 129Xe biomarkers |
| Marta Tibiletti1, Paul JC Hughes2, James A Eaden2, Josephine H Naish1,3, Helen A Marshall4, John C Waterton1,5, Stephen A Bianchi6, Jim M Wild4,7, and Geoff JM Parker1,8 | ||
1Bioxydyn Ltd, Manchester, United Kingdom, 2POLARIS, University of Sheffield MRI unit, The University of Sheffield, Sheffield, United Kingdom, 3MCMR, Manchester University NHS Foundation Trust, Wythenshawe, United Kingdom, 4POLARIS, The University of Sheffield, Sheffield, United Kingdom, 5Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom, 6Academic Department of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 7Insigneo Insititute for in silico medicine, Sheffield, United Kingdom, 8Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom |
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Keywords: Lung, Perfusion Quantitative pulmonary perfusion can be derived from MR imaging with injection of contrast agent (CA). Tracer-kinetic theory yields physiological parameters such as pulmonary blood flow (PBF), blood volume (PBV) and mean transit time (MTT) but relies on accurate calculation of CA concentration. Previous studies have used ‘subtraction’ or ‘normalisation’ methods without T1-mapping. Using both simulations and data from interstitial lung disease patients, we demonstrate how the ‘subtraction’ method weights PBV by local lung density. This causes likely spurious correlations with hyperpolarised 129Xe biomarkers linked to lung ventilation, microstructure and density, potentially obscuring information of diagnostic interest. |
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Implementation of dissolved 129Xe lung MRI with 4-echo 3D radial spectroscopic imaging at 3T: comparing with results at 1.5T in healthy volunteers |
| Guilhem Jean Collier1, Ho-Fung Chan1, Graham Norquay1, Neil J. Stewart1, Ryan S. Munro1, Oliver Rodgers1, Rolf F. Schulte2, and Jim M. Wild1 | ||
1POLARIS, University of Sheffield, Sheffield, United Kingdom, 2GE Healthcare, Munich, Germany |
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Keywords: Lung, Hyperpolarized MR (Gas) Four-echo 3D radial spectroscopic imaging of hyperpolarised 129Xe in the lung is implemented at 3T to measure ratios of xenon gas and dissolved xenon in blood (RBC) and lung tissues (M). Thanks to an interleaved acquisition of the echo times and the choice of a 0.32ms echo time spacing, data acquisition is possible within the short relaxation time of dissolved 129Xe (T2*~1ms). 11 healthy volunteers have been imaged at both 1.5 and 3T after the inhalation of a 1L dose of hyperpolarised 129Xe. Results show comparable images at both field strengths and a significantly reduced (p=0.02) RBC:M at 3T. |
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Usefulness of Deep Learning Models of DWI in Direct Differentiating Malignant and Benign Breast Tumors Without Lesion Segmentation |
| Mami Iima1,2, Kazuki Tsuji3, Ryosuke Mizuno4, Toshiki Yamazaki3, Masako Kataoka1, Maya Honda1,5, Rie Ota1,6, Aika Okazawa7, Keiho Imanishi8, Masakazu Toi9, and Yuji Nakamoto1 | ||
1Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Kyoto University Hospital, Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, Kyoto, Japan, 3Kyoto University Faculty of Medicine, Kyoto, Japan, 4A.I.System Research CO.,Ltd., Kyoto, Japan, 5Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan, 6Diagnostic Radiology, Tenri Hospital, Nara, Japan, 7Kyoto University Graduate School of Medi, Kyoto, Japan, 8e-Growth Co., Ltd., Kyoto, Japan, 9Breast Surgery, Kyoto University Graduate School of Medi, Kyoto, Japan |
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Keywords: Breast, Breast 348 women suspected of breast tumors were enrolled, and 206 breast lesions (139 malignant, 67 benign) were further analyzed. Breast 5b-value-DWI was performed, and a deep learning model dedicated to this breast DWI dataset was established. Several comparative experiments were performed; comparison of data augmentations, small network VS. large network, 2DCNN VS. 3DCNN, and analysis in 5b-DWI VS. ADC maps. Augmentations using elastic deformation, affine transform, and Gaussian noise improved diagnostic performance up to AUC=0.90. The use of small CNN and without ADC map also showed higher diagnostic performance (AUC=0.88-0.90), showing AI potential to improve breast DWI diagnostic performance. |
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Combining radiomic features with background parenchymal enhancement from DCE-MRI data for predicting treatment response in breast cancer |
| Kalina Polet Slavkova1, Eric A Cohen1, Rhea Chitalia2, Snekha Thakran1, Walter C Mankowski1, Alex Nguyen2, Hannah Horng2, Elizabeth S McDonald3, Michael D Feldman4, Angela DeMichele5,6, and Despina Kontos7 | ||
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States, 4Division of Surgical Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States, 5Division of Hematology Oncology, Perelman Center for Advanced Medicine, Philadelphia, PA, United States, 6Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, United States, 7Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Breast, Breast, radiomics, DCE-MRI Our objective is to predict pathological complete response (pCR) outcome to neoadjuvent chemotherapy in breast cancer patients. We combine radiomic features with background parenchymal enhancement -- computed from standard-of DCE-MRI data from the ISPY-2 trial -- and model treatment outcome via multivariable logistic regression. During training and testing, we demonstrate that models including BPE alongside radiomic and clinical covariates yielded the highest AUC values among all tested regression models, thus improving the prediction of pCR outcome. |
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3D MR Elastography: Exploring Quality Assurance Measures |
| Shan Cai1,2, Jens Tellman1,2, Christian Simonsson1,2,3, Wolf Bartholomä1,4, Jonatan Eriksson1,2, Nils Dahlström1,4, Stergios Kechagias5, Patrik Nasr5, Mattias Ekstedt5, Ralph Sinkus6, and Peter Lundberg1,2 | ||
1Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden, 2Department of Medical Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 3Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 4Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 5Department of Gastroenterology and Hepatology, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 6School of Biomedical Engineering and Imaging Science, King’s College London, London, United Kingdom |
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Keywords: Liver, Elastography, 3D MRE Magnetic resonance elastography (MRE) is a powerful tool that can grade liver fibrosis non-invasively. In comparison with 2D MRE, 3D MRE can provide additional biomechanical tissue parameters for evaluating liver fibrosis. However, there is a great need to develop a quality assurance protocol for 3D MRE measurements. In this study, we have investigated quality assurance parameters for a 3D MRE research system and identified the cut-off values of the quality parameters to assign the 3D MRE data into three quality categories. A confidence map was constructed based on the evaluation of these quality parameters. |
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A Noninvasive Method with Three-Dimensional MR elastography in Assessing of Liver Fibrosis and Inflammation |
| Yikun Wang1, Jiahao Zhou1, Huimin Lin1, Fuhua Yan1, and Ruokun Li1 | ||
1Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China |
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Keywords: Liver, Liver, MR elastography Differentiating fibrosis and inflammation is vital important clinical distinction in patients with chronic liver disease (CLD). Liver histopathology is the worldwide reference standard for staging fibrosis and inflammation. Therefore, there is urgent need to develop non-invasive and low risk methods for staging liver fibrosis and inflammation. Current researches has been demonstrated that three-dimensional MRE allows showed higher diagnosis accuracy for staging liver fibrosis even inflammation than 2D MRE. Here, we prospectively evaluate the diagnosis efficacy of the parameters 3D MRE-derived for staging liver fibrosis and grade of inflammation in real clinical situations. |
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Dynamic glucose-enhanced imaging of the liver using breath-hold black blood quantitative T1rho MRI |
| Yurui Qian1, Vincent Wai-Sun Wong2, Jian Hou1, Baiyan Jiang1,3, Xinrong Zhang2, Grace Lai-Hung Wong2, Zhigang Wu4, Queenie Chan5, Simon Chun Ho Yu1, Winnie Chiu-Wing Chu1, and Weitian Chen1 | ||
1Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 2Medical Data Analytics Centre (MDAC), Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3Illuminatio Medical Technology Limited, Hong Kong, Hong Kong, 4Philips Healthcare, Shenzhen, China, 5Philips Healthcare, Hong Kong, Hong Kong |
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Keywords: Liver, Liver Non-alcoholic fatty liver disease (NAFLD) is often associated with abnormal metabolic syndrome. In this study, we investigated dynamic glucose enhanced imaging of the liver using T1rho MRI after glucose ingestion. We hypothesize this approach can be used to assess metabolic activities in the liver. Sixteen young volunteers and four patients with NAFLD were recruited in this study. The preliminary results suggest that the proposed approach has the potential to detect metabolic variations between normal subjects and subjects with fatty liver. |
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Reproducibility of M1-optimized Liver DWI Across Field Strengths and Gradient Performance |
| Timothy J Allen1, Srijyotsna Volety1, Rianne A van der Heijden2, Greg Simchick2, and Diego Hernando1,2 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Liver, Diffusion/other diffusion imaging techniques Liver DWI using M1-optimized diffusion imaging (MODI) minimizes motion-induced signal dropout while suppressing lesion-mimicking vessel signal. However, early MODI implementations have been confined to 3.0T MR systems with high-performance gradients. The feasibility and reproducibility of MODI DWI on 1.5T systems and systems with conventional gradient performance remains untested. In this work, liver DWI was acquired using conventional and MODI acquisitions in 8 healthy human subjects on 3 separate MR systems with different field strength and gradient performance. ADC estimation with MODI achieved smaller coefficients of variation and reproducibility coefficients across MR systems in comparison to conventional Stejskal–Tanner (monopolar) DWI. |
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Improved Free-Breathing Volumetric Liver Fat and R2* Quantification Using 3D Stack-of-Radial GRE Dixon MRI and XD-GRASP Reconstruction |
| Xiaodong Zhong1, Marcel D Nickel2, Stephan A.R. Kannengiesser2, Brian M Dale3, Holden H Wu4, and Vibhas Deshpande5 | ||
1MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Cary, NC, United States, 4Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 5MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Austin, TX, United States |
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Keywords: Liver, Quantitative Imaging, Fat, R2*, Iron Respiratory motion compensation is necessary for free-breathing stack-of-radial liver fat and R2* quantification. While self-gating is a valid approach, it may lead to degraded quality of images and quantitative maps and possible prolonged acquisition. A 3D XD-GRASP stack-of-radial technique was developed and evaluated in a motion phantom and in vivo subjects. Results demonstrated PDFF and R2* agreement of the proposed method compared to reference methods. Improved image and map quality and PDFF and R2* quantification agreement of the proposed method using an acceleration factor of 4 (equivalent to 105 seconds of time saving) were observed compared to the self-gating method. |
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Predicting microvascular invasion of HCC using whole-lesion histogram analysis with the interstitial fluid pressure and velocity model |
| Liyun Zheng1,2,3, Chun Yang1,2, Yongming Dai4, and Mengsu Zeng1,2 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Liver Most solid tumors have increased interstitial fluid pressure (IFP), and the increased IFP is an obstacle to treatment. This study applied a non-invasive dynamic contrast-enhanced magnetic resonance imaging-based model to acquire IFP and interstitial fluid velocity (IFV). Based on the IFP and IFV maps, histogram analysis was applied to evaluate the spatial distributions of pixel gray levels with reduced sampling bias. IFP- and IFV-derived parameters have proven to be significant predictors of microvascular invasion status. Therefore, this optimal model, together with histogram analysis, offers a new way for in vivo and non-invasive assessment of hepatocellular carcinoma. |
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Feasibility of integrating 6 diffusion models within a single acquisition and their performance comparison in liver fibrosis staging |
| Yanli Jiang1,2,3, Fengxian Fan1,3, Jie Zou1,2,3, Pin Yang1,3, Pengfei Wang1,3, Jing Zhang1,3, and Shaoyu Wang4 | ||
1magnetic resonance imaging department, Lanzho u university second hospital, LANZHOU, China, 2Lanzhou university, LANZHOU, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, LANZHOU, China, 4Siemens Healthineer, ShangHai, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques DWI has been broadly used in clinical practice, which can provide quantitative parameters. Several DWI models have been used for liver fibrosis staging but diagnostic performance variance in different research because their acquisitions are different and normally difficult to be compared in one study. In this study, we compared 6 DWI models, including 14 parameters in detecting significant liver fibrosis using date from one acquisition. The results showed that the DWI models were similarly valuable in detecting significant liver fibrosis in patients with liver disease. The combined index with the three parameters of CTRW model had the highest AUC. |
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Quantitative measurement of renal oxygenation in human using QSM and pCASL |
| Yujin Jung1, Hyun-Seo Ahn1, and Sung-Hong Park1 | ||
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
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Keywords: Kidney, Oxygenation Measuring the renal oxygenation level is important because it is related to the progress of kidney diseases such as chronic kidney disease. In this study, we noninvasively quantified and mapped the renal metabolic rate of oxygen (RMRO2) using quantitative susceptibility mapping and pseudo-continuous arterial spin labeling and evaluated the results using the caffeine challenge. The results demonstrated higher renal oxygenation in the medulla than the cortex, and lower renal oxygenation on the caffeine day compared to the control day, as expected. This technique can be applied to identifying patients at risk of kidney diseases with no contrast agent. |
| 1221 | Pitch: 8:15 Poster: 8:15 Screen 34
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Multiparametric MR imaging to identify the changes in normoalbuminuric diabetic kidney disease (NADKD) noninvasively |
| Akira Yamamoto1, Tsutomu Tamada1, Yu Ueda2, Ayumu Kido1, Atsushi Higaki1, Akihiko Kanki1, and Yoshihiko Fukukura1 | ||
1Kawasaki Medical School, Kurashiki, Japan, 2Philips Japan, Tokyo, Japan |
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Keywords: Kidney, fMRI This study suggests the possibility that MRI using the values of CMD on optimal TI on SSFP with IR pulse with multi TI, which can sensitively capture fibrotic changes in the renal cortex of NADKD, can be a new parameter to evaluate NADKD non-invasively and in a short period of time. |
| 1222 | Pitch: 8:15 Poster: 8:15 Screen 35
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The value of amide proton-weighted imaging and diffusion kurtosis imaging in predicting Her-2 expression in endometrial cancer |
| Xiwei Li1, Shifeng Tian1, Changjun Ma1, Nan Wang1, Jiazheng Wang2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare,Beijing, Beijing, China |
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Keywords: Cancer, Body Endometrial cancer (EC) is one of the three major malignant tumors in women, and its commonly used treatment is mainly surgery, radiotherapy, chemotherapy and hormone therapy . However, some patients still have low response to the above treatments. However, molecular therapy targeting Her-2 gene has significant value in the clinical diagnosis and improving the prognosis. Amide proton weighted imaging (APTw) and diffusion kurtosis imaging （DKI）can be used for the diagnosis of diseases by reflecting the level of molecular metabolism and cellular microstructure. This study explored the value of the above two sequences in quantitative prediction of HER-2 gene expression levels. |
| 1223 | Pitch: 8:15 Poster: 8:15 Screen 36
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Probing Possible Composition Changes of Placenta over Gestation Age Using Diffusion‐Relaxometry Correlated Spectroscopy Imaging |
| Xilong Liu1, Chantao Huang1, Wentao Hu2, Jie Feng1, Wenjun Qiao1, Sijin Chen1, Bo Liu1, Yongming Dai2, and Yikai Xu1 | ||
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Placenta, Diffusion/other diffusion imaging techniques Currently, antenatal noninvasive imaging techniques to directly evaluate placental function remains challenge. The objective of this study was using diffusion-relaxometry correlated spectrum imaging (DR-CSI) as a tool to probe the possible placental composition changes over gestation in normal pregnancy. Four to five peaks were visible in the D-T2 spectrum for most subjects. DR-CSI compartments were defined according to peak distribution. Significant correlation between DR-CSI compartment volume fractions and GA was found. We suggested that the DR-CSI technique could be used to reveal features of placental composition. |
| 1224 | Pitch: 8:15 Poster: 8:15 Screen 37
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The value of glucose-chemical exchange saturation transfer and amide proton transfer in predicting tumor grading and staging in rectal cancer |
| Han Jiang1, Nan Meng2, Ziqiang Li1, Bo Dai2, Pengyang Feng3, Yu Luo2, Zhiwei Shen4, and Meiyun Wang*2 | ||
1Department of Medical Imaging, XinxiangMedical University & Henan Provincial People's Hospital, Zhengzhou, China, 2Department of Medical Imaging, Zhengzhou University People's Hospital & Henan Province People's Hospital, Zhengzhou, China, 3Department of Medical Imaging, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 4Philips healthcare, Beijing, China |
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Keywords: Pelvis, CEST & MT, rectal cancer What are the values of glucose-chemical exchange saturation transfer (glucoCEST) and amide proton transfer (APT) imaging in WHO grading and T staging of rectal cancer? We performed 3D-glucoCEST, 3D-APT, and DWI scans in 21 rectal adenocarcinoma cases. GlucoCEST signal intensity (SI) and 3D-APT SI could distinguish high-grade from low-grade, and T3 stage from T2 stage rectal adenocarcinoma, and both had comparable diagnostic efficacy. In addition, 3D-glucoCEST SI and 3D-APT SI were positively correlated with tumor grade. |
| 1225 | Pitch: 8:15 Poster: 8:15 Screen 38
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3D MRI-US multimodal alignment for real-time intervention - a tradeoff between accuracy and computation time |
| Jhimli Mitra1, Chitresh Bhushan1, Soumya Ghose1, David Mills1, Heather Chan1, Matthew Tarasek1, Shane Wells2, Sydney Jupitz3, Chris Brace4, Bryan Bednarz3, Thomas Foo1, James Holmes5, and Desmond Yeo1 | ||
1GE Research, Niskayuna, NY, United States, 2Depts. of Radiology and Urology, University of Wisconsin-Madison, Madison, WI, United States, 3Dept. of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Depts. of Radiology and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Dept. of Radiology, University of Iowa, Iowa City, IA, United States |
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Keywords: Liver, Multimodal, Real-time multimodal alignment, image-guided intervention, MRI-US deformable fusion Multimodal MRI-US image fusion in image-guided therapy such as liver microwave ablation aids in correct placement of the applicator device. Significant tissue deformation due to breathing motion requires alignment of pre-interventional MRI on real-time interventional US to compensate for the motion. In this work, we present a hybrid framework (conventional and deep learning) for multimodal deformable registration to provide higher accuracy and retain the low latency required for real-time interventions. |
| 1226 | Pitch: 8:15 Poster: 8:15 Screen 39
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Quantitative and Automated MRI Cancer Risk Maps used for Identification of Prostate Cancer Progression |
| Matthew Gibbons1, Janet E Cowan2, Peter R Carroll2, Matthew R Cooperberg2, and Susan M Noworolski1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Urology, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Prostate, Cancer This study’s objective was to determine whether automated mpMRI cancer risk maps could identify prostate cancer progression during active surveillance. Derived lesion masks were used to analyze factors for progression. A decision tree model for progression was generated with sensitivity = 0.84, specificity = 0.56, and ROC AUC 0.75. The identification results indicate the potential of mpMRI and MRI cancer risk maps to assist in identifying progression during prostate cancer active surveillance. |
| 1227 | Pitch: 8:15 Poster: 8:15 Screen 40
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Rapid In Vivo Prostate Microstructure MRI using Diffusion-Relaxation Correlation Spectrum Imaging with Random Matrix Theory-Based Denoising |
| Zhaohuan Zhang1, Shu-Fu Shih1, Kyunghyun Sung1, Steven Raman1, and Holden H. Wu1 | ||
1Department of Radiology, University of California, Los Angeles, Los Angeles, CA, United States |
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Keywords: Prostate, Microstructure Diffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI) has shown promises for quantifying prostate microscopic tissue compartments for prostate cancer characterization, but in vivo DR-CSI faces challenges such as lower signal-to-noise ratio (SNR), and signal averages could lead to prolonged scan time. This work investigated the combination of DR-CSI with random matrix theory-based denoising to take advantage of the large number of TE-b values contrast encodings to improve SNR, and enables rapid in vivo prostate microstructure MRI in <6min at 3T. |
| 10:30 | Establishing a Community for MR Research Expertise in Latin America |
| Pablo Irarrazaval1 | |
1Department of Electrical Engineering; Institute for Biological and Medical Engineering; Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Chile |
| 11:00 | MRI Services to Meet the Clinical Needs of Southeast Asia |
| Pek-Lan Khong1 | |
1University of Hong Kong, China |
| 11:30 | Building Accessible MRI Scanners to Meet the Infrastructural Demands of South Asia |
| Arjun Arunachalam1 | |
1Voxelgrids Innovations Private Limited, Bangalore, India |
| 12:00 | Social & Educational Needs for Building Sustainable MRI Access in Sub-Saharan Africa |
| Udunna Anazodo1 | |
1Montreal Neurological Institute,, McGill University, Montreal, QC, Canada |
| 10:30 | Young Investigators Award Presentation |
| 10:45 | Introduction & Survey Results |
| Nivedita Agarwal1 | |
1Neuroradiology, I.R.C.C.S. Eugenio Medea, Lecco, Italy |
| 11:15 | Treading on the Path Not Commonly Taken, Makes All the Difference |
| Rainer Goebel1 | |
1Universiteit Maastricht |
13:45
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Basic Principles: Quantification of Multi-Timepoint ASL & Velocity-Selective ASL | |
| Meher Juttukonda | ||
| A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital | ||
14:05
|
Processing Multi-Timepoint ASL Data Using BASIL | |
| Moss Zhao | ||
| Stanford University | ||
14:25
|
OSIPI Pipeline & Software Inventory | |
| Maria Mora | ||
| UT Southwestern | ||
14:45
|
Processing Single- & Multi-Delay ASL Data Using the LOFT ASL Toolbox | |
| Chenyang Zhao | ||
| University of Southern California | ||
15:05
|
Processing Single-PLD ASL Data Using ASLPrep | |
| Sudipto Dolui | ||
| University of Pennsylvania | ||
15:25
|
Processing Multi-PLD Multi-TE Blood-Brain Barrier ASL Data Using ExploreASL | |
| Beatriz Padrela | ||
| Amsterdam UMC | ||
13:45
|
Overview of Hyperpolarization | |
| Yuhei Takado1 | ||
1National Institutes for Quantum Science and Technology, Japan |
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Keywords: Contrast mechanisms: Hyperpolarization Hyperpolarization is a powerful technique that enhances NMR signal intensity, and it can be implemented using various methods. This presentation provides an overview of hyperpolarization for medical applications, with a particular focus on dynamic nuclear polarization (DNP), which is now utilized in clinical research. The presentation outlines the fundamentals of hyperpolarization and discusses the necessary components for hyperpolarized magnetic resonance imaging. Additionally, prospects for the field are presented in the hopes of inspiring further research efforts. |
14:15
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129Xe: Hardware, Acquisition & Reconstruction | |
| Graham Norquay1 | ||
1University of Sheffield, United Kingdom |
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Keywords: Contrast mechanisms: Hyperpolarized MR (Gas), Physics & Engineering: Hardware, Physics & Engineering: Physics This presentation focusses on the optimisation of hardware for polarising 129Xe and the methods for acquiring and reconstructing in vivo hyperpolarised 129Xe MR data. The technology of 129Xe-Rb spin-exchange optical pumping is introduced, followed by a description of the critical steps involved in system characterisation and optimisation. The second part of this talk covers the technical challenges and potential applications of current acquisition and reconstruction methods for in vivo hyperpolarised 129Xe MR. |
14:45
|
13C: Hardware, Acquisition & Reconstruction | |
| Irene Marco Rius1 | ||
1Molecular Imaging for Precision Medicine, Institute for Bioengineering of Catalonia, Barcelona, Spain |
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Keywords: Contrast mechanisms: Hyperpolarization This lecture will give an overview of the workflow of a hyperpolarized 13C-MRSI experiment, with focus on the two main polarization techniques used for biomedical applications of hyperpolarized 13C-labelled nuclei: dissolution Dynamic Nuclear Polarization (dDNP) and Parahydrogen Induced Polarization (PHIP). Concepts related to hardware for hyperpolarization and MRSI signal acquisition, data analysis and validation will be introduced and discussed. |
15:15
|
Clinical applications of Hyperpolarized 13C and 129Xe MRI | |
| Gigin Lin1 | ||
1Chang Gung Memorial Hospital, Taipei, Taiwan |
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Keywords: Contrast mechanisms: Hyperpolarization, Cross-organ: Cancer, Education Committee: Clinical MRI Hyperpolarized (HP) MRI is an emerging imaging technique to enhance signals of gases (helium-3 or xenon-129) or liquids (carbone-13), to highlight body's internal structures and metabolic processes. Traditional MRI provides detailed images of the anatomy of the body, and HP MRI goes further by providing information about metabolic processes in real-time. Based on its non-invasive and non-irritation nature, HP MRI has gained attentions in wide range of potential clinical applications, including cancer, heart, lung, brain, and metabolic disorders. In this talk we will discuss the clinical potentials of HP MRI through exploring the ongoing research and clinical trials. |
| 1228 | 13:45
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Accelerating beyond the sound limit: Ultrasonic Wave-CAIPI using a dual-axis head gradient insert |
| Thomas Roos1, Jeroen Siero1,2, Dennis Klomp1, Matthias Wienke1, Jannie Wijnen1, and Edwin Versteeg1 | ||
1Department of High Field MR Research, University Medical Center Utrecht, Utrecht, Netherlands, 2Spinoza centre for Neuroimaging, Amsterdam, Netherlands |
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Keywords: Gradients, New Trajectories & Spatial Encoding Methods, Ultrasonic In this work, we present peripheral nerve stimulation and imaging results for a dual-axis head gradient that operates at ultrasonic frequencies. PNS measurements on 4 volunteers did not yield any noticeable stimulation. Imaging was performed using an ultrasonic Wave-CAIPI MP-RAGE, which featured ~20-fold acceleration and fully-sampled K-space coverage. We show the first images with this approach and a g-factor close to unity. |
| 1229 | 13:53
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Unipolar design of head gradients for eliminating the encoding ambiguity |
| Markus Weiger1, Johan Overweg2, Franciszek Hennel1, Emily Louise Baadsvik1, Samuel Bianchi1, Oskar Björkqvist1, Roger Luechinger1, Jens Metzger3, Eric Michael1, Andreas Port1, Christoph Schildknecht1, Schmid Thomas1, Urs Sturzenegger4, Gerrit Vissers5, Jos Koonen5, Wout Schuth6, Jeroen Koeleman6, Martino Borgo6, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Philips GmbH Innovative Technologies, Hamburg, Germany, 3Institute for Energy and Process Engineering, ETH Zurich, Zurich, Switzerland, 4Philips AG, Zurich, Switzerland, 5Philips Healthcare, Best, Netherlands, 6Futura Composites BV, Heerhugowaard, Netherlands |
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Keywords: Gradients, High-Field MRI, Ambiguity Gradients with a conventional, bipolar design generally face a trade-off between performance, encoding ambiguity, and circumventing the latter by means of RF selectivity. This problem is particularly limiting in cutting-edge brain imaging performed at field strengths ≥ 7T and using high-performance head gradients. To address this issue, the present work proposes to fundamentally eliminate the encoding ambiguity in head gradients by using a unipolar z-gradient design that takes advantage of the signal-free range on one side of the imaging volume. This concept is demonstrated by design of a unipolar high-performance head gradient and simulated 7T imaging with such a system. |
| 1230 | 14:01
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Modeling of Gradient-Induced Magnet Heating using Equivalent Current Surface and Multi-Physics Finite-Element Methods |
| Alexander Bratch1,2, Peter B. Roemer3, Gregor Adriany2, Kamil Ugurbil2, and Brian K. Rutt1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 3Roemer Consulting, Lutz, FL, United States |
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Keywords: High-Field MRI, High-Field MRI With increasing prevalence of ultra-high field magnets and high-performance gradients, it is important to understand gradient-induced magnet heating, which can yield significant helium boil-off. Here, we propose a method to model this effect requiring no knowledge of gradient coil construction. Using measured gradient stray fields, we construct equivalent current surface models of gradient coils that can be input into finite element model of magnet systems to predict the deposited energy. We validate this equivalent current surface method using a gradient with a known winding pattern and further validate the energy deposition models by measuring power deposition in a 7T magnet. |
| 1231 | 14:09
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Experimental Validation of a PNS Optimized Body Gradient Coil |
| Mathias Davids1,2, Livia Vendramini1, Valerie Klein1,2,3, Natalie Ferris4,5, Bastien Guerin1,2, and Lawrence L. Wald1,2,5 | ||
1Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3University Clinics Mannheim, Computer Assisted Clinical Medicine, Mannheim, Germany, 4Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States |
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Keywords: Gradients, Gradients, gradient coil design, high-performance imaging We report experimental PNS threshold measurements of an asymmetric PNS optimized whole-body gradient coil and compare it to a standard symmetric coil designed without PNS optimization. Stimulation thresholds were measured in 10 healthy adult subjects for five clinically relevant scan positions. The optimized design raised thresholds by up to 47% in four out of the five studied scan positions (head, cardiac, pelvic, and knee imaging positions). These results support the potential value of PNS-optimized asymmetric whole-body gradients for maximizing image encoding performance |
| 1232 | 14:17
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Measuring gradient waveforms effectively with fully compensated variable-prephasing |
| Hannah Scholten1, David Lohr2, Tobias Wech1, and Herbert Köstler1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 2Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHCF), University Hospital Würzburg, Würzburg, Germany |
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Keywords: Gradients, System Imperfections: Measurement & Correction Gradient inaccuracies often deteriorate image quality in non-Cartesian MRI, raising a demand for accurate gradient waveform measurements. The recently proposed approach of “variable-prephasing” provides an efficient gradient measurement technique with high SNR. However, the original variable-prephasing sequence neglects lingering field effects from the prephasing gradients, which we show to produce erroneous results if the gradient system exhibits sharp mechanical resonances. We therefore propose “fully compensated variable-prephasing” and demonstrate its ability to remove all field effects not stemming from the test gradient of interest. |
| 1233
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14:25
|
An experimental setup for acoustic noise reduction in MRI using Predictive Noise Canceling |
| Paulina Siuryte1 and Sebastian Weingärtner1 | ||
1TU Delft, Delft, Netherlands |
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Keywords: Gradients, Gradients, acoustic noise Gradient acoustic noise in MRI remains a large source of patient discomfort, with sound pressure levels reaching 130dB. In this work, we explore Predictive Noise Canceling (PNC) to reduce the acoustic noise. The method, similarly to active noise canceling, uses anti-noise to create a quiet zone. However, PNC is based on a direct gradient noise prediction, and is hence robust to aperiodicity and latency. We use iterative equalization and external trigger signals to achieve improved signal fidelity. The method is, for the first time, applied regular MRI sequences, and achieves up to 13dB noise reduction in the 0.3-4kHz range. |
| 1234 | 14:33
|
Prospective Compensation of Second-order Concomitant Fields in a High-performance Gradient System using a Second Order Harmonic Shim Coil |
| Afis Ajala1, Seung-Kyun Lee1, Nastaren Abad1, Yihe Hua1, and Thomas Foo1 | ||
1GE Global Research, Niskayuna, NY, United States |
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Keywords: Gradients, Gradients, Concomitant Field Correction The use of higher-performance gradient coils results in stronger second-order concomitant magnetic fields, which can lead to image artifacts such as signal dropout, blurring, and phase errors that cannot be corrected by pre-emphasis of gradient waveforms and/or radio frequency modulation alone. We have developed an axially symmetric second-order field coil that is insertable, and demonstrate its ability to prospectively correct the additional phase generated by second-order concomitant fields in 2D phase contrast and spiral-out gradient echo imaging in a 3.0 T high-performance head-gradient (MAGNUS) system. |
| 1235 | 14:41
|
‘Reverse’ RF/B0 shimming coils |
| Xinqiang Yan1,2, Shuyang Chai1,2, Ming Lu1,2, and John C Gore1,2 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Shims, Shims In this work, we propose a reverse RF/B0 shimming coil design for ultrahigh field MRI without using any large bridge choke inductors. Our simulation and experimental results reveal that this design does not impair the RF performance, but would able to reduce the DC resistance/inductance/heating and also save precious space in RF/B0 shimming coils. |
| 1236
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14:49
|
Flexible use of AC/DC coil for eddy-currents and concomitant fields mitigation with applications in diffusion-prepared non-Cartesian sampling |
| Congyu Liao1,2, Jason Stockmann3, Xiaozhi Cao1,2, Zhitao Li1, Lincoln Craven-Brightman3, Monika Sliwiak3, Charles Biggs3, Zheng Zhong1, Nan Wang1, Hua Wu4, Thomas Grafendorfer5, Fraser Robb5, Bernhard Gruber3,6, Azma Mareyam7, Adam B Kerr2,4, and Kawin Setsompop1,2 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 4Stanford Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States, 5GE Healthcare, Milwaukee, WI, United States, 6BARNLabs, Muenzkirchen, Austria, 7Harvard Medical School, Charlestown, MA, United States |
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Keywords: Shims, Shims This work provides a demonstration that the AC/DC shim-array can be flexibly used to correct undesirable eddy-current and concomitant fields effect in MRI acquisitions, with simulation results showing its effectiveness at mitigating eddy-current induced phase in diffusion-prepared acquisition and in mitigating concomitant fields in non-Cartesian trajectories, such as spiral. Phantom and invivo experiments were also performed on a 46-channel AC/DC shim-array to demonstrate high-fidelity multi-shot 3D diffusion-prepared acquisition without need for SNR-zapping amplitude stabilizer. |
| 1237 | 14:57
|
Hybrid Active and Passive Local Shimming (HAPLS) Targeting Ultra-high-order B0 Spherical Harmonic (SH) Terms in Two-Region MRI |
| Zhi Hua Ren1, Jason Stockmann2,3, Andrew Dewdney4, and Ray F. Lee1 | ||
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Shims, Shims An MRI scanner equipped with global shim systems fails to reach state-of-the-art when shimming two isolated ROIs simultaneously for two reasons: non-optimal spherical harmonic based shimming routine, and significant high-order B0 inhomogeneities, even though the two-area shimming can be essential in scan scenarios, such as bilateral breasts or dyadic brains. To address these challenges, a hybrid active and passive local shimming (HAPLS) technique is proposed to shim two isolated areas in one FOV simultaneously. Both the simulation and experimental results validated that HAPLS can complementarily address the bifocal and high-order inhomogeneities, and locally improve in vivo B0 homogeneity as well. |
| 1238
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15:05
|
In vivo demonstration of arbitrary ROI shaping and B0 shimming with MC-ECLIPSE for applications in human brain proton MRSI |
| Chathura Kumaragamage1, Scott McIntyre1, Terence W Nixon1, Henk M De Feyter1, and Robin A de Graaf1 | ||
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States |
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Keywords: New Devices, Spectroscopy ECLIPSE is a pulsed second order gradient insert that allows unparalleled extracranial lipid suppression over an elliptical ROI for applications in human brain proton MRSI. While ECLIPSE provides excellent axial slice coverage for brain shapes that closely resemble an ellipse, coverage is compromised for head shapes that are asymmetrical. We recently constructed an ECLIPSE gradient coil in combination with a 54-channel multi-coil array (MC-ECLIPSE) for human brain ROI shaping and B0 shimming. Here we demonstrate >95% axial slice coverage with ROI shaping over challenging head shapes, in addition to improved B0 shimming capabilities relative to second order spherical harmonic shims. |
| 1239 | 15:13
|
RF shimming in the spinal cord at 7T |
| Daniel Papp1, Gaspard Cereza1, Alexandre D'Astous1, Eva Alonso-Ortiz1, and Julien Cohen-Adad1,2,3,4 | ||
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Mila - Quebec AI Institute, Montreal, QC, Canada, 3Functional Neuroimaging Unit, Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, QC, Canada, 4Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada |
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Keywords: Parallel Transmit & Multiband, Spinal Cord Spinal cord MRI at 7T suffers from Tx inhomogeneity. RF shimming is therefore potentially useful in this region. Here, we evaluate for the first time the effect, both on signal intensity and signal homogeneity, of multiple RF shimming algorithms implemented in the open-source ‘Shimming Toolbox’, and compare the results with vendor solutions. |
| 1240
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15:21
|
Universal modes: Calibration-free TIAMO for B1+ inhomogeneity mitigation |
| Simon Schmidt1 and Gregory J Metzger1 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Keywords: High-Field MRI, Body In this work we introduce the concept of universal modes, which consists of the application of the universal pulse concept to time interleaved acquisition of modes (TIAMO). Based on simulated B1+ maps of a 16-channel body array at 10.5T, the ability to mitigate B1+ inhomogeneities is successfully demonstrated in six different human body models, targeting the pelvis. |
| 1241 | 15:29
|
Radiation Damping at Clinical Field Strengths: How to Analyse and Avoid it to enable quantitative MRI with Dedicated Coils |
| Niklas Wallstein1, Roland Müller1, André Pampel1, and Harald E Möller1,2 | ||
1NMR group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Physics, Leipzig University, Leipzig, Germany |
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Keywords: System Imperfections: Measurement & Correction, Ex-Vivo Applications, Radiation Damping Radiation damping (RD) is, in principial, well understood but commonly unconsidered in MRI. It results from inductive coupling of the spin system and the detection circuit, leading to nonlinearities in the Bloch equations. Previous research established that RD increases with the filling factor and quality factor of the coil and the magnetic field strength. However, little attention has been paid to a quantitative characterization. Moreover, implications for the RF pulse performance must be considered given similar timescales (milliseconds) of RD and pulse length. Our findings indicate that RD can impact typical MRI sequences and, consequently, parameters determined from their application. |
| 1242 | 15:37
|
Overcoming system imperfections using end-to-end MR sequence design. |
| Daniel West1, Felix Glang2, Jonathan Endres3, Moritz Zaiss3, Jo Hajnal1,4, and Shaihan Malik1,4 | ||
1Department of Biomedical Engineering, King's College London, London, United Kingdom, 2Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Department of Neuroradiology, Universitätsklinik Erlangen, Erlangen, Germany, 4Centre for the Developing Brain, King's College London, London, United Kingdom |
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Keywords: System Imperfections: Measurement & Correction, Pulse Sequence Design MRI systems are usually engineered to give 'ideal' performance, and acquisition methods are generally developed using this assumption. This work proposes an alternative sequence learning framework that includes a model of realistic scanner performance, allowing acquisition sequences to be designed to directly account for system imperfections. In this proof-of-concept demonstration we designed pulse sequences to account for eddy current perturbations with different realistic time constants, while also respecting hardware limits. The flexibility of this approach could be used to design new types of pulse sequence to operate on lower performance, lower cost hardware in future. |
13:45
|
Fetal Cardiac MRI | |
| Mike Seed1 | ||
1The Hospital for Sick Children, Toronto, ON, Canada |
14:05
|
Fetal Neuro MRI | |
| Camilo Jaimes1 | ||
1Massachusetts General Hospital & Harvard Medical School, United States |
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Keywords: Cross-organ: Antenatal, Neuro: Brain, Neuro: Nervous system Fetal life is the most dynamic and crucial stage in human neurodevelopment. The exceptional tissue contrast offered by fetal MRI has revolutionized our ability to study brain development and identify emerging abnormalities. Processes like neuronal migration, parenchymal growth, and cortical folding are displayed in remarkable detail. The potential to detect abnormalities prior to birth opens the possibility for interventions earlier in the course of diseases, which could potentially improve the neurological outcomes of fetuses affected by congenital disorders. |
| 1243 | 14:25
|
4D flow MRI for investigation of fetal cardiovascular hemodynamics in healthy development and ductal dependent lesions |
| Erin K Englund1, Takashi Fujiwara1, Sarah Smith2, Bettina Cuneo3, Mehdi Hedjazi Moghari1, Mariana L Meyers1, Richard M Friesen3, Lorna P Browne1, and Alex J Barker1 | ||
1Radiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States, 2Radiology, Children's Hospital Colorado, Aurora, CO, United States, 3Pediatric Cardiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States |
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Keywords: Fetal, Velocity & Flow Fetal cardiovascular MRI has the potential to aid in the diagnosis and evaluation of congenital heart disease. Here, a fast, Doppler ultrasound- gated, 4D flow MRI acquisition with online reconstruction was achieved in twelve healthy fetuses and six patients with suspected congenital cardiovascular defects. Analysis of the 4D flow data revealed expected flow distributions across vascular territories in the healthy cohort. Using 4D flow MRI, we were also able to evaluate the presence and impact of ductal dependent lesions in patients with suspected congenital heart disease, finding confirmation of presence/absence of pathology on post-natal imaging. |
| 1244 | 14:33
|
Multiresolution comparison of fetal CINE MRI at 0.55 T |
| Datta Singh Goolaub1, Ye Tian2, Joshua F.P. van Amerom1, John Wood3,4, Jon Detterich4, Krishna S. Nayak2, and Christopher K. Macgowan1,5 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 3Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 4Division of Cardiology, Department of Pediatrics and Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 5Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Keywords: Prenatal, Fetus In this study, we demonstrate the feasibility of CINE fetal CMR at 0.55 T at multiple spatial resolutions. First, real-time images are reconstructed for motion-correction and cardiac gating. Fetal cardiac CINEs are then reconstructed using the corrected data. Retrospective CINEs have higher SNR relative to their corresponding real-time reconstructions. Feasibility of the pipeline is demonstrated for up to 1.0 mm in-plane resolution. Good cardiac structure conspicuity is observed at coarse spatial resolutions in real-times and at all spatial resolutions in CINEs. |
| 1245 | 14:41
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Real-time fetal cardiac MRI at 0.55T enables assessment of ventricular function and heart and great vessel anatomy |
| Ye Tian1, Jon Detterich2, Jay D. Pruetz2, Anand A. Joshi1, John Wood2, and Krishna S. Nayak1 | ||
1University of Southern California, Los Angeles, CA, United States, 2Children’s Hospital Los Angeles, Los Angeles, CA, United States |
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Keywords: Fetal, Fetus We demonstrate a real-time spiral balanced steady-state free precession (bSSFP) pulse sequence for fetal cardiac examinations on a 0.55T scanner. The real-time sequence provides easy adjustments of scan plan, automatic volumetric sweeping covering the whole heart, and flexible choice of reconstruction temporal resolution, without relying on any maternal breath-hold or cardiac gating. In 9 experiments involving 8 volunteers, we demonstrated high-temporal resolution (40ms/frame) real-time videos that capture fetal cardiac dynamics, and low-temporal resolution (320ms/frame) volumetric images that capture cardiac anatomy. This approach provides both functional and structural evaluations of the fetal heart. |
| 1246 | 14:49
|
Fetal 3D cine cardiovascular MRI: Improved image quality with region-optimized virtual coils |
| Marjolein Piek1, Johannes Töger1, Erik Hedström1,2, and Anthony H. Aletras1,3 | ||
1Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden, 2Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden, 3Laboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece |
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Keywords: Fetal, Image Reconstruction Recently, the first 3D cine radial acquisition of the fetal heart with isotropic resolution was introduced. However, image quality suffers from radial streaking artifacts due to under-sampling. A new coil combination method, Region-Optimised Virtual coils (ROVir), was suggested to improve image quality by highlighting signal from the ROI while suppressing signal from unwanted regions. This study aimed to compare 3D fetal cardiac imaging ROVir to conventional SVD-based coil combination, in a parallel imaging based reconstruction. Streaking artifacts were reduced, and the cine could be reconstructed to more cardiac phases. This allowed for improved appreciation of fetal cardiac function. |
| 1247 | 14:57
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Motion-corrected free-running 4D MRI of the fetal heart - from in silico to in vivo |
| Robin Ferincz1, Mariana Baginha Da Lanca Falcão1, Aurelio Secinaro2, Guido Buonincontri3, Leonor Alamo4, Estelle Tenisch4, Milan Prša5, Davide Piccini1,6,7, Jérôme Yerly8, Matthias Stuber8, and Christopher William Roy1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Advanced Cardiothoracic Imaging Unit, Department of Imaging, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy, 3Siemens Healthcare srl, Milan, Italy, Milan, Italy, 4Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Woman- Mother-Child Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 6Advanced Clinical Imaging Technology (ACIT), Siemens Healthineers International AG, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 8Center for Biomedical Imaging (CIBM), Lausanne, Switzerland |
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Keywords: Fetal, Cardiovascular MR imaging of the fetal heart is challenging due to resolution requirements and the impact of maternal respiration, fetal cardiac motion, and gross fetal movement. These factors have largely precluded the development of 3D acquisition techniques. In this work, a novel reconstruction algorithm is developed to estimate and correct for displacement of the fetal heart due to maternal respiration and gross fetal movement enabling the first-ever motion-corrected time-resolved 4D images of the fetal heart from 3D radial data. Proof-of-concept results are demonstrated using a comprehensive numerical simulation developed for this work and initial data acquired in utero. |
| 1248 | 15:05
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Development of the fetal brain structural connectivity during the second-to-third trimester based on diffusion MRI |
| Ruike Chen1, Ruoke Zhao1, Xinyi Xu1, Mingyang Li1, Cong Sun2, Guangbin Wang3, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China., Beijing, China, 3Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China |
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Keywords: Fetal, Brain Connectivity, Structural Connectivity Network Extensive cortico-cortical connections emerge in the fetal brain during the second-to-third trimester with the rapid development of white matter fiber pathways. However, the early establishment and prenatal development of the brain’s structural network are not yet understood. In this work, we built structural connectivity networks of the fetal brain using in-utero diffusion MRI data. Network analysis revealed the increasing overall efficiency of the fetal brain network. The strengthening of short-ranged cortico-cortical connections and the emerging hubs contributed to the reorganization of its sub-units. These findings provided valuable information on the early developmental patterns of brain cortico-cortical structural connectivity |
| 1249 | 15:13
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Can MRS detect metabolites differences in fetuses affected by CMV? |
| Or Rachel Sadan1,2, Netanell Avisdris2,3, Aviad Rabinowich2,4,5, Daphna Link-Sourani2, Liat Ben Sira1,4,5, and Dafna Ben Bashat1,2,5 | ||
1Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 2Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel, 3School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel, 4Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel, 5Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel |
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Keywords: Fetal, Infection
We aimed to examine whether MR spectroscopy (MRS) within the deep grey matter can detect brain metabolic changes in fetal cytomegalovirus infection. Retrospective data from 47 fetuses with brain sonography, MRI, and MRS scans were used: 27 women had a positive PCR on amniocentesis. Seven (out of the 27) fetuses had brain MRI findings common to CMV. NAA+NAAG, and Cr were significantly lower in fetuses with PCR+ and MRI findings. No differences were detected in fetuses without imaging findings (PCR+ and PCR-). These metabolic changes could reflect brain impairments. |
| 1250 | 15:21
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Site Effects in Multisite Fetal Brain MRI: a Morphological Study of Early Brain Development |
| Xinyi Xu1, Haoan Xu1, Tianshu Zheng1, Yutian Wang1, Chi Zhou1, Jiaxin Xiao1,2, Ruike Chen1, Mingyang Li1, Cong Sun3, Guangbin Wang4, Xianglei Kong5, Qingqing Zhu5, Jingshi Wang6, Hong Yu6, Yu Zou7, Guohui Yan7, and Dan Wu1 | ||
1Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom, 3Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China., Beijing, China, 4Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 5Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China, 6Dalian Municipal Women and Children’s Medical Center (Group), Dalian, China, 7Department of Radiology, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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Keywords: Fetal, Brain, Multisite; morphological development; harmonization; cortical thickness Studies have shown that the non-biological site-related effects may induce bias in multisite neuroimaging studies among adults and adolescents. It is unknown how site effects would affect the analysis of fetal brain MRI and which acquisition factors are critical in quantitative analysis. In this study, we identified site effects, including manufacture, field strength, in-plane resolution, and slice-thickness on volume and cortical thickness measurements in normal fetuses. We also showed these site effects could be effectively removed with ComBat-GAM while preserving developmental pattern indicating that the harmonization procedure is necessary when combing multisite imaging data to study fetal brain morphological development. |
| 1251 | 15:29
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Automated atlas-based craniofacial biometry for 3D fetal MRI: multi-acquisition comparison of fetuses with Down syndrome and a control cohort. |
| Jacqueline Matthew1, Alena Uus1, Abi Fukami-Gartner1, Lucillio Cordero Grande1, Vanessa Kyriakopoulou1, Daniel Cromb1, Robert Wright1, Jonathan O'Muircheartaigh1, Ana Baburamani1, Christina Malamateniou2, Jana Hutter1, Joseph Hajnal1, Mary Rutherford1, and Maria Deprez1 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2City University London, London, United Kingdom |
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Keywords: Prenatal, Fetus, Biometry We introduce the first automated atlas-based method for fetal craniofacial biometry. Using motion-corrected slice-to-volume reconstructions for 3D fetal head visualisation, an automated label propagation method extracted linear biometry across 12 measures. The optimisation process used retrospective data and no differences in automated biometry was seen between different MRI acquisition parameters. A comparison of measures made between a cohort of fetuses with Down syndrome and control fetuses, with normal development, found significant differences for the occipitofrontal skull, oral hard palate and anterior base of skull distances. This suggests a promising and meaningful method for large population-level investigation of MRI craniofacial morphology. |
| 1252 | 15:37
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Evaluation of the brain volumes development of fetuses with isolated non-severe ventriculomegaly using MRI |
| Zhaoji Chen1, Fan Wu1, Xin Zhang1, Yuchao Li1, Zhenqing Liu1, Chenxin Xie1, and Hongsheng Liu1 | ||
1Department of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University，Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China, Guangzhou of China, China |
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Keywords: Prenatal, Brain The objective of our study to perform the development of brain volume in fetus with the isolated non-severe ventriculomegaly (INSVM). Then the MRI images of 36 INSVM fetuses and 22 normal fetuses were retrospectively collected, and were manually delineated to obtain quantitative data of brain regions. The gestational age ranged from 26 to 35 weeks. Our study found that the volume development of the basal ganglia, thalamus, and partial white matter in the INSVM fetuses were different from those in the normal fetuses. These differences in the volume development of brain regions need to be determined by expanding the sample. |
| 1253
|
13:45
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Association analysis of age-dependent changes in R1map at the brain region level with gene expression patterns |
| Xiang Chen1 and Xiaoyong Zhang1 | ||
1Fudan University, Shanghai, China |
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Keywords: Quantitative Imaging, Quantitative Imaging Quantitative MRI can observe biologically distinct microstructural processes that shows great potential in aging research. In this work, we studied the trajectories of R1map changes in aging brain and found R1map regions with significant changes in different age groups (young, middle-aged, and elderly groups). Graph theoretical analysis of covariance networks revealed global clustering coefficient of youth group is higher than that of middle-aged and elderly groups. Association analysis of spatial gene expression patterns with changes in R1map at the brain region level reveal that the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway is mainly enriched in various neurodegenerative diseases. |
| 1254 | 13:53
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In-vivo T1 mapping for quantitative evaluation of intracranial atherosclerotic plaques |
| Jiaqi Dou1, Xiaoming Liu2,3, Yajie Wang1, Ziming Xu1, Jing Wang2,3, and Huijun Chen1 | ||
1Center for Biomedical Imaging Research, Tsinghua University, Beijing, China, 2Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 3Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China |
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Keywords: Quantitative Imaging, Atherosclerosis T1 mapping could provide more reliable quantitative measurements of plaques than traditional T1w MR images. In this study, the feasibility of in vivo quantitative T1 mapping of intracranial plaque had been demonstrated for the first time using a 3D SNAP with golden angle radial k-space sampling (GOAL-SNAP) sequence. Symptomatic patients showed significantly lower intraplaque T1 values than asymptomatic patients (1695.21 ± 493.23 vs. 2241.76 ± 300.28 ms, p=0.045). Quantifying plaque T1 values and enhancement through 3D GOAL-SNAP T1 mapping images is promising for characterizing the symptomatic plaques, serving as one potential tool for further plaque analysis. |
| 1255 | 14:01
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Subject-specific detection of macro- and micro-structural alterations of deep gray matter nuclei using submillimeter 7T quantitative MRI |
| Gian Franco Piredda1,2,3, Alexandre Cabane4,5, Samuele Caneschi1,6,7, Tom Hilbert1,6,7, Gabriele Bonanno8,9,10, Thomas Troalen11, Jean-Philippe Ranjeva4,5, Ludovic de Rochefort4,5, David Seiffge12, Martina Goeldlin12, Robert Hoepner12, Roland Wiest9,13, Piotr Radojewski9,13, Tobias Kober1,6,7, Arnaud Le Troter4,5, and Bénédicte Maréchal1,6,7 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland, 3CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 5AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France, 6Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 8Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, 9Translational Imaging Center (TIC), Swiss institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 10Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 11Siemens Healthcare SAS, Saint-Denis, France, 12Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland, 13Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland |
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Keywords: Quantitative Imaging, Tissue Characterization, Ultra-high field MRI High-resolution 7T MRI allows to directly visualize deep gray matter nuclei (DGN), especially within the thalamus, and building reference ranges of volumes and relaxation times for these structures is of clinical relevance. Methods to automatically segment DGN at 7T have been recently proposed. In this study, we segmented DGN from a cohort of 132 healthy subjects scanned with the MP2RAGE at 7T to obtain both T1-weighted images and T1 maps. Reference ranges of volumes and T1 values were established and proved valuable in revealing both macro- and micro-structural tissue alterations in selected cases of patients with neurodegeneration. |
| 1256
|
14:09
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Personalized quantitative MRI multiparameter abnormality maps provide correlates of disability in multiple sclerosis patients |
| Xinjie Chen1,2,3, Sabine Schädelin1,2,3, Po-Jui Lu1,2,3, Mario Ocampo-Pineda1,2,3, Matthias Weigel 1,2,3,4, Muhamed Barakovic1,2,3, Esther Ruberte1,2,3, Alessandro Cagol1,2,3, Bénédicte Maréchal5, Tobias Kober5, Jens Kuhle2,3, Ludwig Kappos2,3, Lester Melie-Garcia1,2,3, and Cristina Granziera1,2,3 | ||
1Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland, 2Department of Neurology, University Hospital, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 4Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland |
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Keywords: Quantitative Imaging, Multiple Sclerosis We performed an extensive assessment of the clinical relevance of a method that we had previously developed, which provides personalized quantitative MRI abnormality maps of individual multiple sclerosis (MS) patients. Specifically, we assessed the relationships between quantitative T1 (qT1), myelin water fraction (MWF), neurite density index (NDI), magnetization transfer saturation (MTsat) abnormality maps and clinical disability in a cohort of 102 MS patients and 98 healthy subjects. We found that qT1 and NDI alterations in white matter lesions were strongly related to patients' clinical disability, supporting the use of those personalized maps for patient stratification and follow-up in clinical practice. |
| 1257
|
14:17
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The impact of amyloid-β and ferritin on ultra-high-field R2* and quantitative susceptibility mapping |
| Jierong Luo1, James Everett2, Jane Donnelly1,3, Festus Slade1,4,5, Neil Telling2, and Joanna F Collingwood1,5 | ||
1School of Engineering, University of Warwick, Coventry, United Kingdom, 2School of Pharmacy and Bioengineering, Keele University, Stoke-on-Trent, United Kingdom, 3Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 4Department of Chemistry, University of Warwick, Coventry, United Kingdom, 5Warwick Centre for Doctoral Training in Analytical Science, University of Warwick, Coventry, United Kingdom |
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Keywords: Quantitative Imaging, Contrast Mechanisms, MR Microscopy, Quantitative Susceptibility Mapping, R2*, Iron, Ferritin, Amyloid plaques, Alzheimer's Disease Amyloid plaques, an established hallmark of Alzheimer's disease, are often demonstrably associated with iron deposits post-mortem. Previous T2*-weighted and phase information from ultra-high-field MR microscopy and clinical MRI has shown the potential to detect amyloid deposits in vivo and ex vivo. We investigated the relative contributions to contrast from amyloid-β (Aβ) aggregates with and without ferritin-bound iron in vitro, for R2* and quantitative susceptibility maps (QSM) with 86 μm isotropic resolution at 9.4T. We also demonstrated the quantitative signal evolution with the formation of amyloid aggregates, and the correlation of the signals with the Aβ and ferritin content. |
| 1258 | 14:25
|
Sex-specific changes and association in multiparametric MRI measurement at 3T in adult livers |
| Chia-Ying Liu1, Chikara Noda2, Rob van der Geest3, Bruno Triaire4, Yoshimori Kassai4, David A Bluemke5, and Joao Lima2 | ||
1Canon Medical Systems Corporation, Ellicott City, MD, United States, 2Division of Cardiology, School of medicine, Johns Hopkins University, Baltimore, MD, United States, 3Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 4Canon Medical Systems Corporation, Tochigi, Japan, 5Department of Radiology, University of Wisconsin, Madison, WI, United States |
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Keywords: Quantitative Imaging, Liver, parametric mapping; PDFF Imaging biomarkers derived from multiparametric MRI have been investigated for the evaluation of diffuse liver disease. We aimed to determine the sex-specific correlation of MRI parameters with age and BMI, and to evaluate the association between multiparametric MRI parameters. 100 study participants without known hepatic disease were prospectively enrolled. 3 T MRI including T1, T2 and T1ρ mapping and proton density fat fraction (PDFF) and R2* maps were acquired. Multiparametric MRI measures have sex-specific age and BMI dependency. Relaxometry mapping indices could be associated with PDFF. PDFF was significant associated with R2* and T1ρ, but not to T1 or T2. |
| 1259 | 14:33
|
Histological Validation of MR Cell Size and Cellularity Imaging with Human Liver Specimens |
| xiaoyu jiang1, John Gore2, and Junzhong Xu3 | ||
1Radiology, Vanderbilt University Medical Center, nashville, TN, United States, 2Vanderbilt University Medical Center, nashville, TN, United States, 3Vanderbilt University Medical Center, Brentwood, TN, United States |
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Keywords: Quantitative Imaging, Liver, microstructure; diffusion; inflammation The size and cellularity of hepatocytes, their variations and changes over time, are fundamental characteristics of liver tissues, and measurements of cell sizes and cellularities may have high clinical significance but currently can be obtained only by liver biopsy. We quantified the microstructures of human liver specimens with different liver diseases, including normal liver tissues, cirrhosis, steatosis, hepatocellular carcinoma (HCC), cirrhotic regenerative nodules (CRN), and intrahepatic cholangiocarcinoma (iCCA), using MR cell size imaging ex vivo. The accuracy of MR-derived cell sizes and cellularities were evaluated by comparisons to histology. |
| 1260 | 14:41
|
Diffusion and relaxometry study of an excised temporal lobe from a drug-resistance epilepsy patient using in vivo and ex vivo MRI |
| Francisco Javier Fritz1, Jan Malte Oeschger1, Ora Ohana2, Thomas Sauvigny3, and Siawoosh Mohammadi1 | ||
1Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Institute of Molecular and Cellular Cognition, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany |
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Keywords: Quantitative Imaging, Ex-Vivo Applications, In-vivo to ex-vivo translation; Diffusion MRI; Relaxometry To learn and validate MRI-based microstructure models, MRI from fixed ex-vivo tissue samples can be compared with its histological counterpart. However, translating these models to in-vivo MRI requires thorough characterisation of MR-contrast changes between in-vivo and fixed ex-vivo measurements (e.g., due to fixation). By preforming this characterisation on an epilepsy patient’s freshly excised temporal lobe, we found that diffusion parameters changed strongly whereas relaxometry parameters remained almost unchanged. Our findings provide a missing link between in-vivo and fixed ex-vivo MRI that in future can facilitate in-vivo application of MRI-based microstructure mapping like estimating iron and myelin from relaxometry parameters. |
| 1261
|
14:49
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Quantitative multiparametric MRI describes neuromelanin-linked pathogenesis in the AAV-hTyr rat model of Parkinson’s disease |
| Jean-Baptiste Pérot1, Mathieu D Santin1,2, Anthony Ruze1,2, Lucas Soustelle3, Sana Rebbah1, Laura Mouton1, Romain Valabregue1,2, Miquel Vila4, and Stéphane Lehéricy1,2 | ||
1Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France, 2Center for NeuroImaging Research (CENIR), Paris, France, 3Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 4Neurodegenerative Diseases Research Group, Vall d'Hebron Research Institute (VHIR), Autonomous University of Barcelona, Barcelona, Spain |
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Keywords: Quantitative Imaging, Multi-Contrast Imaging of the neuromelanin (NM) has recently developed as a relevant biomarker of Parkinson’s disease (PD). Here, we present a longitudinal, quantitative, multiparametric study on the AAV-hTyr rat model of PD with NM accumulation in the right substantia nigra. Our protocol allowed to obtain NM-sensitive image, as well as R1, R2* and qMT in a single session. Longitudinal acquisition on AAV-hTyr rats showed inverted U-shaped curve of NM-MRI contrast-to-noise ratio, suggesting NM accumulation followed by neurodegeneration. R1, R2*, MPF and motor symptoms support this hypothesis. Our work may help to understand the pathogenesis of this PD model and identify biomarkers. |
| 1262 | 14:57
|
Evaluation of Activity of Graves’ Orbitopathy by Multiparameter Orbital MRI |
| Xinyi Gou1, Xiuying Zhang2, Jianxiu Lian3, Xiaofang Xu3, Zhenyu Piao4, Lingli Zhou2, Jingyi Cheng1, Chuhan Chen1, Lei Chen1, Ke Jiang3, Jin Cheng1, Linong Ji2, and Nan Hong1 | ||
1Department of Radiology, Peking University People’s Hospital, Beijing, China, 2Department of Endocrinology, Peking University People’s Hospital, Beijing, China, 3Philips Healthcare, Beijing, China, 4Department of Ophthalmology, Peking University People’s Hospital, Beijing, China |
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Keywords: Quantitative Imaging, MR Value The evaluation in activity of Graves’ orbitopathy (GO) has important clinical significance for the treatment decision making and prognosis prediction for GO patients. Some previous studies have a limited comprehensive consideration that GO could involve almost entire orbital region, leading to complex changes in MR quantitative parameter, such as T1, T2, and fat fractions. In this study, we established a combined model including MRI quantitative parameters concerning multiple tissues of eyes and multiple sequences to distinguish active GO. And it was better than using a certain parameter alone to evaluate GO activity. |
| 1263 | 15:05
|
Fast macromolecular proton fraction imaging based on spin-lock |
| Jian Hou1, Yurui Qian1, Baiyan Jiang2, Xiang Fan3, Winnie Chiu-Wing Chu1, Tiffany Y. So1, and Weitian Chen1 | ||
1Department of Imaging and Radiology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong, 2Illuminatio Medical Technology Limited, Hong Kong SAR, Hong Kong, 3Peking University Shenzhen Hospital, Shenzhen, China |
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Keywords: Quantitative Imaging, Magnetization transfer Macromolecular proton fraction (MPF) represents the relative amount of semi-solid macromolecules involved in magnetization transfer with free water protons. In this work, we reported a novel MPF quantification method based on spin-lock for rapid MPF mapping. The total scan time for 3D brain MPF measurement can be achieved within five minutes. We demonstrated the proposed method via simulation, phantom and in vivo experiments. |
| 1264
|
15:13
|
Time-of-Day Analysis of Brain Sodium TSC Maps |
| Cameron E Nowikow1,2, Paul Polak3, and Michael D Noseworthy1,2,4,5 | ||
1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare, Hamilton, ON, Canada, 3Department of Radiology, Children's Hospital Colorado Anschutz Medical Campus, Aurora, CO, United States, 4Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 5Department of Radiology, McMaster University, Hamilton, ON, Canada |
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Keywords: Quantitative Imaging, Non-Proton, Sodium, Variability, Brain, Circadian, Human Previous investigations into brain sodium imaging have avoided the potential of variability due to circadian effects. Thus, in a pilot study we investigated whether time-of-day contributes to tissue sodium concentration (TSC) variance. Three TSC maps were acquired from 7 subjects, at three different times of day (8:00, 16:00, 22:00). Each TSC map was segmented into 10 ROIs before being analyzed using ANOVA with SNR and signal linewidth as added covariates. Time-of-day was a significant source of variance as was spectral linewidth. Between subject variance and SNR were not significant factors in the model. |
| 1265 | 15:21
|
Assessment of Rotator Cuff Muscle Fat and Fibrosis Using Quantitative UTE Magnetization Transfer Imaging and Modeling |
| Arya A Suprana1,2, Qingbo Tang1,3, Elisabeth Orozco3,4, Hyungseok Jang1, Saeed Jerban1, Jiang Du1,2,5, Yajun Ma1, and Eric Y Chang1,5 | ||
1Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 2Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States, 3Research Service, VA San Diego Healthcare System, San Diego, CA, United States, 4Department of Orthopedic Surgery, University of California, San Diego, La Jolla, CA, United States, 5Radiology Service, Veterans Affairs San Diego Health Care System, San Diego, CA, United States |
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Keywords: Quantitative Imaging, Muscle At present, there is a lack of available tools to non-invasively evaluate rotator cuff muscle fibrosis. Prior studies have suggested that magnetization transfer measurements may be useful for quantifying collagen when acquired with an ultrashort echo time technique. However, the increased presence of fat after muscle injury may confound these measurements. In this study, a rat model of chronic massive rotator cuff tearing was used with UTE-T1 and UTE-MT mapping without and with fat suppression to show that muscle collagen and fibrosis could be quantified. |
| 1266 | 15:29
|
Evaluation of tumor physiology after single-fraction irradiation in a mouse model of pancreatic ductal adenocarcinoma using mpMRI |
| Ramesh Paudyal1, James Rusell1, Eve LoCastro1, Carl C. Lekaye1, Joseph O. Deasy1, John L. Humm1, and Amita Shukla-Dave1,2 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Memorial Sloan Kettering Cancer, New York, NY, United States |
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Keywords: Quantitative Imaging, Preclinical Pancreatic ductal adenocarcinoma (PDAC) is the leading cause of cancer deaths worldwide. Quantitative multiparametric magnetic resonance imaging (mpMRI) allows for measuring the tumor's physiological characteristics, such as cellularity and vascularity/permeability. This study aimed to evaluate tumor physiology using mpMRI after single-fraction irradiation in a mouse model. The results demonstrated the changes in the functional status of mpMRI metrics. They were validated with in vivo histology markers of tumor perfusion (Hoechst 33342) and tissue morphology (Hematoxylin and eosin staining). |
| 1267 | 15:37
|
Whole Body Mouse EPR Oxygen Imaging of Implanted Beta Cell Replacement Devices |
| Mrignayani Kotecha1, Navin Viswakarma1, Safa Hameed1, Eliyas Siddiqui1, Feya Epel1, Cherie Stabler2, Minglin Ma3, and Boris Epel4 | ||
1Oxygen Measurement Core, O2M Technologies, LLC, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Florida, Gainesville, IL, United States, 3Cornell University, Ithaca, NY, United States, 4Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, United States |
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Keywords: Quantitative Imaging, Electron Paramagnetic Resonance, Oxygen Imaging, EPR imaging, Type I diabetes, cell encapsulation devices Beta-cell replacement therapy remains the only approach with a clinical proof-of-concept that demonstrates long-term insulin independence can be achieved in type 1 diabetic (T1D) patients. The major challenge for beta cell replacement devices is to keep cells viable by avoiding hypoxia until vascularization is established. We hypothesize that by performing oxygen imaging and controlling the oxygenation of the devices early on, we can achieve better survival of beta cells and, consequently, better T1D reversal. EPROI is a quantitative oxygen imaging method that was used for obtaining pO2 maps in three different beta cell replacement devices in this study. |
| 1268 | 13:45
|
Short single pulse optogenetic fMRI mapping of downstream targets in thalamo-cortical pathways |
| Linshan Xie1,2, Xunda Wang1,2, Teng Ma1,2,3, Hang Zeng1,2, Junjian Wen1,2, Peng Cao3, Ed X. Wu1,2,4, and Alex T.L. Leong1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China |
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Keywords: fMRI (task based), fMRI (task based) Short single pulse stimulation is advantageous to map the downstream neural targets compared to pulse train stimulation because it can minimize the excessive neural synchronization and avoid numerous series of complex neural events. It is desirable for fMRI studies to investigate the properties of neural circuits via delivering single pulse stimulation. However, the subtle BOLD responses evoked by short stimuli are hard to detect due to the sensitivity issue. Here, we employed fMRI to examine the long-range downstream targets of the somatosensory thalamus with 10ms single pulse stimulation. A model-free fMRI analysis was utilized to visualize the spatiotemporal activity propagation. |
| 1269
|
13:53
|
Somatosensory-evoked fMRI with chemogenetic modulation reflects behavioral normalization in hypersensitized mice |
| Won Beom Jung1,2, Soowon Lee3, Geun Ho Im1, Taeyi You1, Eunjoon Kim4,5, and Seong-Gi Kim1,6 | ||
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Medical Imaging AI Research Center, Canon Medical Systems Korea, Seoul, Korea, Republic of, 3Graduate School of Medical Science and Engineering,, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Republic of, 4Department of Biological Sciences, Korea Advanced Institute for Science and Technology (KAIST), Daejeon, Korea, Republic of, 5Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS), Daejeon, Korea, Republic of, 6Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of |
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Keywords: fMRI (task based), Animals The fMRI mapping with selective modulation of local neural population at the manipulated region is a powerful approach that can causally link circuit-specific interactions to behavioral performance. However, most fMRI studies combined with chemogenetics were conducted in the resting state, which is difficult to elucidate whether and how differences in functional activity by neuromodulation induce behavioral changes. Here, we demonstrated the effects of fMRI-guided focal chemogenetic modulation on both somatosensory-evoked network and its relevant behaviors in mice. |
| 1270 | 14:01
|
Impact of EPI readout duration on the diffusion-fMRI response onset time |
| Shota Hodono1, Jonathan R Polimeni2,3, and Martijn A Cloos1 | ||
1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: fMRI (task based), Diffusion/other diffusion imaging techniques We investigated the impact of the EPI readout duration on the onset time of activation observed with diffusion functional MRI (DfMRI). Both long (28.5-ms) and short (12.5-ms) readouts showed a clear functional response, even in individual subjects. However, using a long readout the onset time was shifted towards SE-BOLD (1.6-s [short readout] vs 1.2-s [long readout]), suggesting that longer readouts make the DfMRI signal more similar to SE-BOLD, presumably due to increased BOLD contamination. |
| 1271 | 14:09
|
High Temporal Resolution Blood Oxygen Level Dependent functional MRI. |
| Martyna Dziadosz1,2,3,4, Tom Hilbert2,5,6, Jérôme Yerly2,6, Matthias Stuber2,6, Matthias Nau7, Micah M. Murray1,2,3,6,8, Eleonora Fornari2,6, and Bendetta Franceschiello2,3,4 | ||
1Laboratory for Investigative Neurophysiology (The LINE), Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3The Sense Innovation and Research Centre, Lausanne and Sion, Switzerland, 4Institute of Systems Engineering, School of Engineering, HES-SO Valais-Wallis, Sion, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 6CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 7Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States, 8Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN, United States |
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Keywords: Brain Connectivity, fMRI (task based), hemodynamic response, high temporal resolution, visual cortex We demonstrate the feasibility and robustness of a new method to measure blood-oxygen-level-dependent functional MRI(BOLD-fMRI) signals at high temporal resolutions(up to 250ms). Whole-brain data at 1x1x1 mm3 were acquired uninterruptedly during a blocked-design ON/OFF visual paradigm(checkerboard vs. grey image). Images were reconstructed with a 4D x-y-z-t dimensions at 2.5s, 1.0s, 500ms and 250ms temporal resolution, allowing to retrieve the expected %signal change(2%) in visual cortices. We also evaluated the effect of compressed-sensing(CS) application in BOLD-fMRI reconstruction schemes, finding that CS improves the obtained signal in the calcarine sulcus(around 23k(a.u) in pixel intensity of BOLD map TCFE corrected vs 10k(a.u)). |
| 1272 | 14:17
|
Multi-echo, multi-contrast functional activation: validation of combined spin- and gradient-echo EPI in fMRI |
| Elizabeth G. Keeling1,2, Maurizio Bergamino1, Sudarshan Ragunathan1,3, C. Chad Quarles1,4, and Ashley M. Stokes1 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Arizona State University, Tempe, AZ, United States, 3Hyperfine, Inc., Guilford, CT, United States, 4MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Data Acquisition, fMRI (task based), Neuro, multi-echo, multi-contrast, EPI Standard functional MRI (fMRI) suffers from susceptibility-induced dropout near air-tissue interfaces and is sensitive to larger vessels. Conversely, a combined spin- and gradient-echo (SAGE) acquisition can provide sensitivity to functional activation across macro- and microvascular scales with reduced signal dropout. Multi-echo analysis of SAGE-fMRI data was performed by using quantitative and relaxation-weighted T2* and T2. In a task-based experiment, SAGE relaxation-weighted analyses showed increased contrast- and temporal signal-to-noise ratios (CNR and tSNR, respectively), especially for microvascular analysis. SAGE-fMRI provides improvements over standard fMRI in image quality and robustness of functional activation, as well as inclusion of microvascular sensitivity. |
| 1273 | 14:25
|
Mapping Grey Matter Cerebrovascular Reactivity and Oxygen Consumption Using Resting-State BOLD-ASL Functional MRI |
| Antonio Maria Chiarelli1, Eleonora Patitucci2, Michael Germuska3, Alessandra Stella Caporale1, Emma Biondetti4, Hannah Chandler3, Kevin Murphy5, Valentina Tomassini4,5, and Richard Goeffrey Wise4,5 | ||
1Neuroscience, Imaging and Clinical Sciences, University G. D'Annunzio of Chieti Pescara, Chieti Scalo, Italy, 2Department of Psychology, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff, United Kingdom, 3School of Psychology, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff, United Kingdom, 4University G. D'Annunzio of Chieti Pescara, Chieti Scalo, Italy, 5Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff, United Kingdom |
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Keywords: fMRI (resting state), Quantitative Imaging, Cerebrovascular Reactivity BOLD and ASL CBF fMRI can measure cerebrovascular reactivity (CVR) following a vasodilatory stimulus such as hypercapnia. BOLD and ASL CVR measurements allow us to extract the maximum BOLD signal modulation from which, through biophysical modelling, OEF and CMRO2 can be inferred. We measured these physiological variables in grey matter by assessing the resting-state coupling between fMRI and end-tidal CO2 (reflecting arterial CO2) recordings. In-vivo evaluation of two, sequentially acquired, 14-min recordings at rest demonstrated the method’s good repeatability. This simplified calibrated fMRI approach does not require an exogenous hypercapnic stimulus and thus holds promise for future applications. |
| 1274 | 14:33
|
Resting-state fMRI study of vigilance level under endogenous modulation based on ReHo and fALFF in humans under normal entrained conditions |
| Hanqi Xing1, Zhiwei Wu1, Mengya Ma1, Ziyang Song1, Yang Song2, Yunzhu Wu2, Yue Chang1, and Hui Dai1 | ||
1The First Affiliated Hospital of Soochow University, Suzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai China., Shanghai, China |
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Keywords: fMRI (resting state), Brain, sleep Time-dependent neuromodulation mechanisms in human cognitive-behavioral tasks are not yet fully established. The present study aimed to analyze the changes in resting-state functional magnetic resonance imaging (rs-fMRI) blood oxygen level dependent (BOLD) signals over the 24-h day and their correlation with vigilance level. We recruited 20 healthy volunteers to be scanned at six-time points 24 hours a day. Compared to 9:00, 13:00, 17:00, and 21:00h, thalamic BOLD signals increased and vigilance level decreased at 1:00 and 5:00h. We speculate that the BOLD signals increased in the thalamus may represent a compensatory mechanism for maintaining relative vigilance level. |
| 1275 | 14:41
|
Data-driven analysis of echo planar time-resolved MRI suggests frequency-specific mechanisms of brain fluctuations with unique TE signatures |
| Lisa C. Krishnamurthy1, Venkatagiri Krishnamurthy2, Fuyixue Wang3, Lawrence L Wald3, and Vince D Calhoun4 | ||
1Georgia State University, Stone Mountain, GA, United States, 2Emory University, Atlanta, GA, United States, 3Harvard University, Combridge, MA, United States, 4Georgia State University, Atlanta, GA, United States |
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Keywords: fMRI (resting state), Brain A novel analysis of EPTI rsfMRI to assess frequency contributions in unique echoes. |
| 1276 | 14:49
|
Unlocking 20-fold acceleration towards 0.5-second whole-brain HCP-style fMRI |
| Omer Burak Demirel1,2, Luca Vizioli2,3, Burhaneddin Yaman1,2, Steen Moeller2, Logan Dowdle2,3, Essa Yacoub2, Kamil Ugurbil2, and Mehmet Akçakaya1,2 | ||
1Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States |
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Keywords: fMRI, fMRI Functional MRI (fMRI) is acquired with simultaneous multi-slice (SMS) imaging and in-plane acceleration to provide sufficient coverage and spatio-temporal resolutions. However, further accelerations are desirable to achieve BRAIN initiative targets. In this work, we investigate self-supervised deep learning reconstruction at 20-fold (SMS×in-plane=5×4) retrospective and prospective accelerations. Results show DL at 20-fold retrospective acceleration is similar to split slice-GRAPPA at 10-fold acceleration. Furthermore, we show that DL method trained on retrospective 20-fold acceleration generalizes well and successfully reconstructs prospectively 20-fold accelerated fMRI data. |
| 1277 | 14:57
|
Submillimeter fMRI Acquisition using a dual-echo Rosette-k-space trajectory at 3T |
| Gianna Nossa1, Humberto Monsivais1, Seokkyoon Hong2, Taewoong Park2, Fethi Sila Erdil1, Xin Shen3, Ali Caglar Özen4, Serhat Ilbey4, Mark Chiew5, Cecilia Steinwurzel6, Zoe Kourtzi6, Yen-Yu Ian Shih7, and Uzay Emir1,2 | ||
1School of Health Science, Purdue University, West Lafayette, IN, United States, 2Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 4Department of Radiology, Medical Center-University of Freiburg, Freiburg, Germany, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6Department of Psychology, University of Cambridge, Cambridge, United Kingdom, 7Biomedical Research Imaging Center, University of North Carolina Chapel Hill, Chapel Hill, NC, United States |
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Keywords: fMRI (task based), Brain In this study, we overcome the technological barrier against acquiring submillimeter resolution (~ 0.5 mm) fMRI data at 3T via a novel dual-echo Rosette k-space design. This design results in fine representation of activation maps in two different functional tasks and might be a springboard in neuroimaging by providing a very high-resolution spatiotemporal dynamics of neural networks. The method will be further evolved with the feedback from the MRI community via the github platform as such for the further acceleration, inflow saturation and 3D coverage via 3D sampling and/or multiband approaches. |
| 1278
|
15:05
|
Rapid and high-resolution bSSFP fMRI using 3D stack of spirals at 9.4 T |
| Praveen Iyyappan Valsala1, Philipp Ehses2, Marten Veldmann2, and Klaus Scheffler1,3 | ||
1Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 3Department of Biomedical Magnetic Resonance, Eberhard Karls University, Tübingen, Germany |
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Keywords: Data Acquisition, fMRI (task based), bSSFP, Spiral, non-cartesian, sub-millimeter, whole-brain We explored the spatio-temporal resolution and coverage of bSSFP BOLD contrast using a highly segmented 3D spiral readout. The functional activation maps acquired with the novel functional contrast for full visual field checkerboard stimulus is presented at submillimeter resolutions (0.6 mm3 & 0.8 mm3) and at 1.2 mm3 for whole brain coverage. We also demonstrated rapid slice-selective water excitation using binomial pulses. |
| 1279 | 15:13
|
Implantable Coils Enable High-Resolution Functional MRI in Awake Mice |
| David Hike1, Xiaochen Liu1, Zeping Xie1,2, Bei Zhang1, Wenchao Yang1, Alyssa Murstein1,3, Andy Liu1,3, Daniel Glen4, Richard Reynolds4, and Xin Yu1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2School of Traditional Medicine, Southern China University, Guangzhou, China, 3Neuroscience, Boston University, Boston, MA, United States, 4NIMH, National Institutes of Health, Bethesda, MD, United States |
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Keywords: fMRI (task based), Preclinical, Implantable Coil This study utilizes implantable RF coils affixed to mouse heads which are used as head fixation points to minimize motion and remove B1-related artifacts due to motion-induced loading change during scanning. This method increases SNR significantly and enables high-resolution EPI-based functional imaging in awake mice at 14T, highlighting both cortical and subcortical activation following visual and whisker stimulation. Furthermore, this high-resolution awake mouse fMRI setup enables high sensitivity to map brain activation from subcortical nuclei and extends the detection of associated brain regions related to the stimulation. |
| 1280 | 15:21
|
En Route to Fine-Grained Neurosignatures in the Individual Brain: Evaluating Methodology to Boost Spatial Accuracy & Sensitivity of BOLD fMRI |
| Igor Fabian Tellez Ceja1, Thomas Gladytz1, Ludger Benedikt Starke1, Karsten Tabelow2, Thoralf Niendorf1,3, and Henning Matthias Reimann1 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine, Berlin, Germany, 2Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, 3Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Keywords: High-Field MRI, fMRI In recent years, fMRI at ultrahigh magnetic field strengths (≥7T) has shifted from group analyses to probing neural processing in the individual brain. Identifying neurosignatures requires detection of BOLD effects with high sensitivity and spatial accuracy. Yet, it remains a challenge to enhance the sensitivity of fMRI for the BOLD effect without blurring the spatial details. Here, we assess the quality of the Gaussian, spatial adaptive non-local means (SANLM) and the adaptive weights smoothing (AWS) filters by employing a synthetic fMRI dataset as ground truth. AWS provides superior localization of the BOLD activations with high sensitivity at reasonable noise levels. |
| 1281
|
15:29
|
Cell-type specific basal forebrain modulation shapes global functional network organizations supporting behavioral variability |
| Chuanjun Tong1,2, Yijuan Zou2, Yanqiu Feng1, and Zhifeng Liang2 | ||
1Southern Medical University, Guangzhou, China, 2Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China |
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Keywords: fMRI, fMRI, cell-type specific optogentics; basal forebrain Activations of the basal forebrain (BF) were associated with arousal fluctuations1, and the regulation of the default model network2,3. However, it remains ambiguous how the cell-type specific BF neurons shape the behavioral performances. We developed an awake mouse fMRI setup with simultaneous cell-type specific optogenetic stimulations in BF. Combined with the anterograde tracing data4, we revealed weak structural-functional correspondence of BF neurons, and demonstrated the cell-type specific BF modulations shaped global functional network organizations supporting behavioral variability. Our results made great sense on the understanding the cerebral regulations and behaviors from BF neurons in a macroscopic whole-brain view. |
| 1282
|
15:37
|
A complete cerebellar mean-field model ready to be integrated into whole-brain dynamic simulators |
| Roberta Maria Lorenzi1, Alice Geminiani1, Yann Zerlaut2, Alain Destexhe3, Claudia A.M. Gandini Wheeler Kingshott1,4,5, Fulvia Palesi1, Claudia Casellato1, and Egidio D'Angelo1,5 | ||
1Department of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy, 2Institut du Cerveau - Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France, 3CNRS, Paris-Saclay University, Saclay, France, 4Department of Neuroinflammation, UCL Queen Square Institute of Neurology, NMR Research Unit, Queen Square Multiple Sclerosis Centre, London, United Kingdom, 5Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: In Silico, New Devices, Mean field Whole-brain dynamics can be reproduced in silico by simulating Blood Oxygen Level Dependent (BOLD) signals, typically recorded with fMRI, using cortical and subcortical mean-field models, which provide a population-level description of the underlying neuronal dynamics. Notably, a mean-field model specific for the cerebellum is missing given its structural and functional specific properties. We present the first biologically-grounded cerebellar mean-field model optimized on experimental data. Our model reproduces cerebellar activity and synaptic mechanisms characterizing physiological and pathological conditions. The cerebellar mean-field model is a new device ready to be integrated in whole-brain dynamic simulator, improving understanding of brain function and dysfunction. |
| 1283 | 13:45
|
Three-Dimensional Kidney Shape Analysis: Associations with Anthropometric and Disease Factors |
| Marjola Thanaj1, Nicolas Basty1, Madeleine Cule2, Elena Sorokin2, Jimmy Bell1, Elizabeth Louise Thomas1, and Brandon Witcher1 | ||
1Life Sciences, University of Westminster, London, United Kingdom, 2Calico Life Sciences LLC, South San Francisco, CA, United States |
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Keywords: Kidney, Kidney, Mass Univariate Regression Analysis Organ MRI measurements have the potential to enhance our understanding of the precise phenotypic changes underlying many clinical conditions. Using kidney mesh-based shape analysis we were able to detect variation in specific anatomical regions of the kidney, and associate this with anthropometric traits as well as disease states including chronic kidney disease (CKD), type-2 diabetes (T2D), and hypertension. We show that CKD is associated with smaller kidneys. We also show that T2D and hypertension are associated with larger kidneys. |
| 1284 | 13:53
|
Quality Control of MRI-based Kidney Volume Estimation in ADPKD patient in clinical practice |
| Chenglin Zhu1, Arman Sharbatdaran1, Hreedi Dev1, Xinzi He1, Jon D. Blumenfeld2, James M. Chevalier2, Daniil Shimonov2, and Martin R. Prince1,3 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Rogosin Institute, New York, NY, United States, 3Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States |
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Keywords: Kidney, Data Acquisition Total kidney volume (TKV) is a critical biomarker for monitoring disease severity in autosomal dominant polycystic kidney disease (ADPKD). TKV is typically measured by manually contouring kidneys on one sequence from abdominal MRI without any quality control. Here we show that by using a deep learning model to measure kidney volume on 5 routinely acquired abdominal MRI sequences, it is possible to apply outlier analysis to find images with acquisition artifacts and to correct or exclude them from TKV estimation. This improves volume measurement consistency among the 5 sequences from 4.3% to 1.3% after quality control. |
| 1285 | 14:01
|
Diffusion weighted, intravoxel incoherent motion, diffusion kurtosis tensor MR imaging in chronic kidney disease: correlations with histology |
| Jie Zhu1, Jia-Yin Gao1, Pu-Yeh Wu2, and Yan Song1 | ||
1Beijing Hospital, Beijing, China, 2GE Healthcare, Beijing, China |
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Keywords: Data Analysis, Diffusion/other diffusion imaging techniques Noninvasive, repeatable and accurate biomarkers to identify renal histological changes for tailoring treatment and evaluating renal prognosis are demanded. In this study, we aimed to compare and probe correlations of parameters derived from standard DWI and its extending models including IVIM, DTI, and DKTI with the pathological and functional alterations in CKD. We found that the corrected diffusion-related indices, including cortical and medullary D and MD, as well as medullary FA were superior to ADC, perfusion-related and kurtosis indices for evaluating alterations of renal pathology and function in CKD patients, and these metrics were also correlated with eGFR and Scr. |
| 1286 | 14:09
|
Magnetization-Prepared Golden-angle RAdial Sparse Parallel (MP-GRASP) MRI for Rapid Free-Breathing 3D T1 Mapping of Renal Allografts |
| Octavia Bane1,2, Li Feng1,2, Ding Xia1,2, Haitham Al-Mubarak1,2, Jordan Cuevas1,2, Thangamani Muthukumar3, Jonathan Dyke4, Madhav Menon5, Samira Farouk6, Bachir Taouli1,2, and Sara Lewis1,2 | ||
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Nephrology, Weill Cornell Medical College, New York, NY, United States, 4Citigroup Biomedical Imaging Center, Weill Cornell Medical College, New York, NY, United States, 5Nephrology, Yale School of Medicine, New Haven, CT, United States, 6Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Kidney, Quantitative Imaging, T1 mapping, cortex, medulla, transplantation This work demonstrates rapid free-breathing 3D T1 mapping of the kidney using Magnetization-Prepared Golden-angle RAdial Sparse Parallel imaging (GraspT1). The accuracy and performance of GraspT1was prospectively compared with B1-corrected variable flip angle (VFA) T1 mapping in phantom and in 13 patients with renal transplant. In phantom, both GraspT1 and VFA enabled accurate T1 estimation compared to the gold standard. In patients, free-breathing 3D GraspT1 provided better spatial resolution for improved cortico-medullary differentiation compared to the VFA method, while achieving whole-kidney coverage and similar T1 quantification, at the expense of longer acquisition time. |
| 1287 | 14:17
|
A preliminary study of rapid T1mapping imaging for evaluating renal interstitial fibrosis |
| Chenchen Hua1, Yi Zhuang2, Leting Zhou1, Lu Qiu2, Ting Cai1, Bin Xu1, Shaowei Hao3, Liang Wang1, and Haoxiang Jiang2 | ||
1The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China, 2The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China, 3Siemens Healthineers Digital Technology(Shanghai) CO.,Ltd., Nanjing, China |
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Keywords: Kidney, Quantitative Imaging, T1mapping T1 mapping is a quantitative magnetic resonance imaging (MRI) technique that can reflect the extent of tissue fibrosis. Classical inversion recovery (IR) method can measure the T1 value with high accuracy, but it has long acquisition times. Therefore, the variable flip angle(VFA) method and the modified look‑locker inversion recovery method (MOLLI) are more frequently used in practical clinical applications. The objectives of this study was to compare the two rapid T1mapping imaging methods and to evaluate the diagnostic efficacy of T1 values measured by the two methods in differentiating the degree of renal interstitial fibrosis(IF). |
| 1288 | 14:25
|
A shortened MOLLI for renal T1 mapping |
| Joao Periquito1, Kanishka Sharma1, Kywe Soe1, Bashair Alhummiany2, Jonathan Fulford3, David Shelley4, Kim Gooding3, Angela Shore3, Michael Mansfield4, and Steven Sourbron1 | ||
1The University of Sheffield, Sheffield, United Kingdom, 2Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 3University of Exeter Medical School, Exeter, United Kingdom, 4Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom |
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Keywords: Kidney, Kidney, MOLLI, T1 MAPPING A recent consensus recommends MOLLI-type methods for T1-mapping in the kidney, but these are slow due to the need for full relaxation between inversions. Acceleration can be easily achieved on routine MOLLI-sequences by repeating preparation pulses before complete relaxation, but this requires more accurate signal modelling. Here we propose a broadly applicable model-based approach which inverts a signal model built on Bloch simulations of magnetisation propagation. The method is validated on phantom data and a two-centre cohort of 50 patients with diabetic kidney disease. |
| 1289 | 14:33
|
Highly Accelerated and High-resolution T2 Mapping in the Kidney Based on Echo Merging Plus k-t Undersampling with Reduced Refocusing Flip Angles |
| Hao Li1,2, Andrew Nicholas Priest2,3, Ines Horvat Menih 2, Anne Y Warren4, Sarah J Welsh5, Grant D Stewart6, Iosif A Mendichovszky3, Susan Francis7, and Ferdia A Gallagher2 | ||
1The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Department of Radiology, CUH NHS Foundation Trust, Cambridge, United Kingdom, 4Department of Histopathology, CUH NHS Foundation Trust, Cambridge, United Kingdom, 5Department of Oncology, CUH NHS Foundation Trust, Cambridge, United Kingdom, 6Department of Surgery, CUH NHS Foundation Trust, Cambridge, United Kingdom, 7Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Kidney, Quantitative Imaging We developed a highly accelerated multi-echo spin-echo (MESE) method based on echo merging and k-t undersampling with reduced flip angles (TEMPURA), which can be used to either reduce the acquisition time or increase spatial resolution for multi-slice kidney T2 mapping. Compared with a standardized respiratory-gated MESE sequence, fast TEMPURA reduced the acquisition time from 3–5 minutes to one breath-hold (18 s) without degrading measurement accuracy or image quality. It also outperformed using k-t undersampling alone. High-resolution TEMPURA reduced the pixel size from 3×3 mm2 to 1×1 mm2 and greatly improved the visualization of detailed structures. |
| 1290
|
14:41
|
Initial Experience of Hyperpolarized [1-13C]pyruvate MRI in Kidney Transplant Patients |
| Xiaoxi Liu1, Ying-Chieh Lai1,2, Shiang-Cheng Kung3, Meyeon Park3, Lazik Zoltan4, Peder E.Z. Larson1, and Zhen J. Wang1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Tainwan, Taiwan, 3Department of Medicine, University of California, San Francisco, San Francisco, CA, United States, 4Department of Pathology, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Kidney, Hyperpolarized MR (Non-Gas) We present our initial experience of applying hyperpolarized (HP) [1-13C]pyruvate MRI in three patients with renal allograft. The pyruvate metabolism to lactate and bicarbonate in two patients with well functioning allografts and normal biopsy was in the range of healthy native kidneys. The allograft pyruvate metabolism in the third patient with reduced eGFR was higher than that of healthy native kidneys. Study is ongoing to establish the range of pyruvate metabolism in normal allografts and to correlate pyruvate metabolism to allograft biopsy. This study paves the way for investigation of HP MRI in the noninvasive assessment of kidney allograft injury. |
| 1291 | 14:49
|
Time-encoded Arterial Spin Labeling for Renal Perfusion Quantification Covering the Whole Kidneys |
| Zihan Ning1, Zhensen Chen2, Shuo Chen1, Hualu Han1, Long Zhao3, Rui Wang4, Dongyue Si1, Huiyu Qiao1, Rui Shen1, and Xihai Zhao1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 3Department of Radiology, Beijing Anzhen Hospital, Beijing, China, 4Department of Radiology, Peking University First Hospital, Beijing, China |
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Keywords: Kidney, Perfusion, renal perfusion We performed a series of optimization on the encoding scheme, pseudo-continuous ASL (pCASL) parameters, and post-processing of time-encoded pCASL (te-pCASL), then proposed Time-encoded Arterial Spin labeling to cover the whole Kidneys (TASK) to achieve multiple time-points renal perfusion measurement efficiently. With Gave of 0.4-0.6 mT/m and Gmax/Gave around 10, Walsh-Hadamard encoding scheme, and retrospective registration, TASK was able to provide accurate and reproducible RBF and ATT measurement covering the whole kidneys with single 5-min scan. |
| 1292 | 14:57
|
Quantitative BOLD MRI for Estimating Intra-renal Oxygen Availability: Are Kidneys Hypoxemic in CKD? |
| Pottumarthi V Prasad1, Lu-Ping Li1, Bradley Hack1, Nondas Leloudas1, and Stuart Sprague1 | ||
1NorthShore University HealthSystem, Evanston, IL, United States |
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Keywords: Kidney, Oxygenation Kidney BOLD MRI measurements are not specific to oxygen availability especially when comparing different cohorts because R2* also depends on fractional blood volume (fBV) and hematocrit (Hct). In this study, we have estimated fBV using ferumoxytol and Hct by blood sampling. Using these we show Quantitative BOLD MRI can characterize oxygen availability in quantitative terms. For the first time, we show that kidney cortex is normoxemic in healthy controls while moderately hypoxemic in CKD. Medulla is mildly hypoxemic in controls while moderately hypoxemic in CKD. |
| 1293 | 15:05
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Potential of multiparametric MRI in the longitudinal assessment of renal allografts after transplantation |
| Rebeca Echeverria-Chasco1,2, Paloma L. Martin-Moreno2,3, Nuria Garcia-Fernandez2,3, Marta Vidorreta4, Leyre Garcia-Ruiz1, Anne Oyarzun5, Arantxa Villanueva Larre2,5,6, Gorka Bastarrika1,2, and Maria A. Fernández-Seara1,2 | ||
1Radiology, Clinica Universidad de Navarra, Pamplona, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3Nephrology, Clinica Universidad de Navarra, Pamplona, Spain, 4Siemens Healthcare, Madrid, Spain, 5Electrical Electronics and Communications Engineering, Public University of Navarre, Pamplona, Spain, 6ISC, Institute of Smart Cities, Pamplona, Spain |
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Keywords: Kidney, Transplantation A multiparametric MRI protocol (perfusion, diffusion and T1) was employed to assess longitudinally the kidney allograft at different time points after the transplatation (first week, 3rd month and one year after the surgery) in a 3T system. Patients were divided into stable and unstable function according to their evolution. Results showed that GFR and RBF increased for patients with stable function and decreased for patients with unstable function, showing significant differences between groups at Exam 3. In conclusion, multiparametric MRI can help to assess the allograft longitudinally and has the potential to predict allograft dysfunction when ASL measurements are included. |
| 1294 | 15:13
|
Renal impairment characterization of patients with systemic sclerosis by multi-parametric magnetic resonance imaging |
| Xinyu Tong1, Huilin He2, Zihan Ning3, Rui Shen3, Zuoxiang He1, Xihai Zhao3, and Dong Xu2 | ||
1School of Clinical Medicine, Tsinghua University, Beijing, China, 2Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China, 3Center for Biomedical Imaging Research, Tsinghua University, Beijing, China |
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Keywords: Kidney, Kidney, systemic sclerosis Renal microstructure and functional impairment in systemic sclerosis were characterized using multi-parametric quantitative MR imaging including SAMURAI, DWI and BOLD sequences. The mean values of T1, RBF, aBAT, tBAT, ADC, T2* in renal cortex and volume of renal parenchyma were quantified. Compared to healthy volunteers, patients with systemic sclerosis had significantly lower mean RBF values in both sides of renal cortex. This study revealed that decline of RBF in systemic sclerosis may indicate the pathology of microvascular impairment of renal tissues. |
| 1295 | 15:21
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Functional MRI to monitor disease progression in patients with rare kidney disease |
| Anna Caroli1, Giulia Villa1, Erica Daina2, Paolo Brambilla3, Sara Gamba2, Valentina Fanny Leone4, Camillo Carrara4, Paola Rizzo5, Marina Noris2, Giuseppe Remuzzi6, and Andrea Remuzzi7 | ||
1Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy, 2Department of rare diseases, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy, 3Unit of Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy, 4Unit of Nephrology and Dialysis, ASST Papa Giovanni XXIII, Bergamo, Italy, 5Department of Molecular Medicine, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy, 6Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy, 7University of Bergamo, Bergamo, Italy |
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Keywords: Kidney, Quantitative Imaging This study investigates the correlation between MRI and histologic and clinical findings in 7 patients with C3 glomerulopathy and immune complex–associated membranoproliferative glomerulonephritis, rare diseases denoted by poor prognosis and no specific therapies. Patients underwent repeated kidney MRI, biopsy, and laboratory testing. Kidney diffusivity and perfusion were assessed by diffusion-weighted and phase-contrast MRI. Laboratory and MRI parameters changed very differently from case to case over 1 year. Perfusion biomarkers significantly correlated with histological and clinical findings. Both perfusion and diffusion biomarkers correlated with the clinical evolution of the disease. Current findings highlight MRI potential to monitor kidney disease progression. |
| 1296 | 15:29
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Improving tractography using high angular resolution diffusion imaging in rodent kidney |
| Surendra Maharjan1, Abigail Wallace1, Megan Renate Jewett1, Neal X Chen2, and Nian Wang1,3 | ||
1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 2Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States, 3Stark Neurosciences Research Institute, Indianapolis, IN, United States |
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Keywords: Kidney, Diffusion Tensor Imaging, Tractography Diffusion tensor imaging (DTI) has been widely used to study renal microstructure. However, DTI-based tractography failed to track tubules throughout the kidney. Here, we aim to determine whether high angular resolution diffusion imaging (HARDI) could improve the tractography in the complicated tubular architectures of rodent kidney. |
| 1297 | 15:37
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Diagnostic Value of Clear Cell Likelihood Score v1.0 and v2.0 for Clear Cell Renal Cell Carcinoma: A Comparative Study |
| Yu-wei Hao1, Hui-yi Ye1, and Hai-yi Wang1 | ||
1Department of Radiology, the first Medical Centre of Chinese PLA General Hospital, Beijing, China |
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Keywords: Kidney, Tumor, Small renal masses; Clear cell likelihood score; Clear cell renal cell carcinoma ccLS provides a new tool for the diagnosis and differential diagnosis of solid renal tumors and can be used to assist radiologists in their daily diagnosis. In this study, Six radiologists were trained in the ccLS algorithm and scored independently using ccLS v1.0 and ccLS v2.0, respectively. The results show that although the interobserver agreement between ccLS v1.0 and ccLS v2.0 is comparable, the diagnostic performance of ccLS v2.0 in ccRCC is better than that of ccLS v1.0 and ccLS v2.0 reduces the percentage of ccRCC in 1-3 scores. This finding is helpful to improve the clinical universality of ccLS. |
| 1298
|
13:45
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A ray of light against age-related Neurodegenerative disease: A 31P Magnetisation Transfer MRS study |
| Elizabeth Jane Fear1, Frida Torkelsen2, Heidi A Baseler3, and Aneurin James Kennerley4 | ||
1Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy, 2Chemistry, University of York, York, United Kingdom, 3Psychology, University of York, York, United Kingdom, 4Sport and Exercise Science, Institute of Science, Manchester Metropolitan University, Manchester, United Kingdom |
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Keywords: Neurodegeneration, Magnetization transfer, 31P Through combined theoretical Monte Carlo stimulation and practical 31P Magnetisation Transfer Magnetic Resonance Spectroscopy we quantify the effects of 670 nm photobiomodulation treatment on healthy aging brains. Mitochondrial function declines with age and many pathological processes of neurodegenerative diseases stem from this mitochondrial dysfunction when they fail to produce the necessary energy required. Therefore, an aging population coupled with associated increases in cases of neurological conditions amplifies the need to develop safe, inexpensive treatments to restore mitochondrial function and offer neuronal protection as we grow old. Evidence shows that non-invasive transcranial red/infrared photobiomodulation (PBM) therapy can offer such neuroprotective benefits. |
| 1299
|
13:53
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Age-related alterations in soma and neurite fraction obtained from high-gradient diffusion MRI data across the lifespan |
| Hansol Lee1, Hong-Hsi Lee1, Laleh Eskandarian1, Kyla Gaudet1, Qiyuan Tian1, Eva A. Krijnen2,3, Eric C. Klawiter2, and Susie Y. Huang1 | ||
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3MS Center Amsterdam, Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands |
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Keywords: Neurodegeneration, Aging We studied alterations in soma and neurite signal fractions with age based on Soma And Neurite Density imaging (SANDI) in 43 healthy adults across the lifespan using multi-shell dMRI measurements acquired on the MGH Connectome scanner. We observed decreases in soma fraction with age in all cortical lobes, especially in the frontal lobe. The neurite fraction predominantly decreased with age in the genu of corpus callous. These results suggest a regionally selective aging effect on changes in compartmental composition within the brain, potentially reflecting alterations in microstructure associated with neurodegeneration. |
| 1300 | 14:01
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Structural network integrity in limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) |
| Mahir Tazwar1, Arnold M Evia2, Abdur Raquib Ridwan2, David A Bennett2, Julie A Schneider2, and Konstantinos Arfanakis1,2 | ||
1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Neurodegeneration, White Matter, LATE-NC, TDP-43, neuropathology, aging Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is a common pathological finding in the brain of older adults, but its impact on structural network integrity remains unknown. In this work, we studied structural connectivity network abnormalities associated with LATE-NC using graph theory. Our results demonstrated that severity of LATE-NC was independently associated with weaker network integration and segregation, and increased vulnerability in a network of brain regions typically affected by LATE-NC. |
| 1301 | 14:09
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Brain Age Prediction Based on Quantitative Susceptibility Mapping |
| Mingxing Chen1, Yuting Shi1, Yuyao Zhang2, and Hongjiang Wei1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2School of Information and Science and Technology, ShanghaiTech University, Shanghai, China |
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Keywords: Neurodegeneration, Quantitative Susceptibility mapping The aging process of the human brain is known to be complex, resulting in considerable structural and functional changes in the brain. In this study, a brain age prediction method based on QSM was proposed and then applied to predict the brain age of PD patients. The model achieved a high prediction accuracy with the MAE of 4.40 years and the R2 of 0.91 in healthy subjects. The PADs of the PD patients were significantly higher than HC subjects. The results show that brain age prediction based on QSM can provide a new biomarker to explore iron-related brain age changes. |
| 1302 | 14:17
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Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain. |
| Benjamin T Newman1,2, Joshua S Danoff2, Morgan E Lynch3, Stephanie N Giamberardino4, Simon G Gregory4,5, Jessica J Connelly2, T Jason Druzgal1, and James P Morris2 | ||
1Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 2Department of Psychology, University of Virginia, Charlottesville, VA, United States, 3Department of Psychology, Univeristy of Southern California, Los Angeles, CA, United States, 4Duke Molecular Physiology Institute, Duke University, Durham, NC, United States, 5Department of Neurology, Duke University, Durham, NC, United States |
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Keywords: Neurodegeneration, Neurodegeneration Epigenetic clocks provide powerful tools for estimating health and lifespan but their ability to predict brain degeneration and neuronal damage during the aging process is unknown. This study uses the epigenetic clock GrimAge to longitudinally investigate brain cellular microstructure in axonal white matter from a healthy aging cohort. We reconstructed subject-specific axonal networks damaged by white matter hyperintensities, a visible neurological manifestation of small vessel disease. A chronological age-adjusted version of GrimAge was significantly correlated with longitudinal markers of neuronal decline. This study is the first to establish a relationship between accelerated epigenetic GrimAge and brain cellular microstructure in humans. |
| 1303 | 14:25
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Pronounced gender and lifestyle effects in the oxygen extraction fraction (OEF) of the ageing brain |
| Ana-Maria Oros-Peusquens1, Luis Hau1, Junghun Cho2, Nora Bittner3,4, Svenja Caspers3,5, Yi Wang2, and N. Jon Shah1,6,7,8,9 | ||
1INM-4, Research Centre Juelich, Juelich, Germany, 2Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 3INM-1, Research Centre Juelich, Juelich, Germany, 44Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Duesseldorf, Germany, 5Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Duesseldorf, Germany, 6RWTH Aachen University, Aachen, Germany, 7INM-11, JARA, Forschungszentrum Jülich, Juelich, Germany, 8JARA - BRAIN - Translational Medicine, Aachen, Germany, 9Department of Neurology, RWTH Aachen University, Aachen, Germany |
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Keywords: Neurodegeneration, Aging, oxygen extraction fraction, OEF, gender differences, menopause Regionally-resolved oxygen extraction fraction was investigated in an elderly cohort. OEF was obtained from a single 3D mGRE scan using a novel integrated model of QSM phase signal and quantitative blood oxygenation level dependent magnitude signal. Whereas age showed little influence on this metabolic parameter, a pronounced gender effect was observed. A lifestyle index reflecting physical and social activity as well as alcohol and nicotine consumption showed strong correlations with OEF. Venous blood volume fraction and tissue R2*, but not tissue QSM, also reflected lifestyle influence, showing that brain age is more than number of years. |
| 1304 | 14:33
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Cardiovascular and cerebrovascular health in 70-year-olds: a population-based ASL study |
| Mathijs B.J. Dijsselhof1,2, Sarah-Naomi James3, Luigi Lorenzini1,2, Lyduine Collij1,2, David L. Thomas4,5, Catherine Scott5, Emily Manning5, Tamás I. Józsa1,2, Dave Cash5, Insight 46 study team5, Carole Sudre3, Alun D. Hughes3, Marcus Richards3, Frederik Barkhof1,2,6, Jonathan Schott5, Jan Petr1,2,7, and Henk J.M.M. Mutsaerts1,2 | ||
1Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands, 2Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands, 3MRC Unit of Lifelong Health at Ageing at UCL, University College London, London, United Kingdom, 4Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom, 5Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom, 6Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, United Kingdom, 7Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany |
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Keywords: Neurodegeneration, Arterial spin labelling While mid-life cardiovascular pathology may lead to late-life cognitive decline, our understanding of the role of cerebrovascular health as an intermediate biomarker is limited. We explored the association between cardiovascular health biomarkers and cross-sectional and longitudinal cerebrovascular health assessed by ASL MRI in Insight46, a well-characterised cognitively normal population-based sample. We found several cross-sectional and longitudinal associations between blood pressure and CBF. These findings suggest that the effects of BP on cerebrovascular health can be imaged with ASL perfusion MRI, possibly offering opportunities to prevent or intervene before cognitive decline sets in. |
| 1305 | 14:41
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Medial Temporal Brain Stiffness Predicts Cognition Decline in Aging and Alzheimer's Disease |
| KowsalyaDevi Pavuluri1, John Huston III1, Richard L. Ehman1, Armando Manduca1,2, Prashanthi Vemuri1, Clifford R. Jack Jr1, Matthew L. Senjem3, and Matthew C. Murphy1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochetser, MN, United States, 3Department of Information Technology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Neurodegeneration, Aging, Stiffness and Cognition Aging is associated with neurodegeneration, cognitive function decline, and increased risk of dementia. Objective methods for the longitudinal prediction of cognitive trajectories are needed for design of comprehensive prevention strategies. We tested the hypothesis that measurements of brain mechanical properties will complement existing biomarkers in predicting future cognitive decline. Using linear mixed effect modelling, we evaluated the role of baseline medial temporal stiffness in predicting future cognitive function in participants along the Alzheimer’s disease spectrum. |
| 1306
|
14:49
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Brain-wide fMRI Connectivity and Regional Genetic Modulations underlying Optogenetically-evoked Spindles in Rescuing Memory Decline in Aging |
| Xunda Wang1,2, Pit Shan Chong3, Lee-Wei Lim3, Alex T. L. Leong1,2, and Ed X. Wu1,2,3 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3School of Biomedical Sciences, The University of Hong Kong, Hong Kong SAR, China |
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Keywords: Neurodegeneration, Aging Memory consolidation, the ability to transform newly learned information into long-term memory, declines with age. Our previous study revealed targeted neuromodulation of spindle activities can arrest memory consolidation dysfunction in aging brains through strengthening multi-target memory representations. However, whether and how spindle activities influence memory consolidation via acting on inter-regional information integration remained unclear. Here, we demonstrate in aging animals that optogenetically-evoked spindle activities alleviate memory consolidation dysfunction through modulating brain-wide inter-regional connectivity and regional genetic expression. Our work provides an approach combining fMRI analysis and genetic expression profiling to bridge systems- and molecular-level understandings of memory consolidation. |
| 1307 | 14:57
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Normative trajectories of quantitative MRI parameters in sub-cortical grey matter on healthy ageing |
| Kwok-Shing Chan1,2, Michelle G. Jansen1, Joukje Oosterman1, David G. Norris1,3,4, Christian F. Beckmann1,2, and José P. Marques1 | ||
1Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands, 2Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands, 3The Erwin L. Hahn Institute, Essen, Germany, 4University of Twente, Twente, Netherlands |
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Keywords: Neurodegeneration, Aging The effects of ageing on quantitative MRI, including R1, R2* and tissue susceptibility, are investigated in subcortical grey matter using a healthy cohort. General Linear Regression analysis indicates that ageing has significant impacts on these quantitative measures: the mean R1 has inverted U-shape appearances with time, while the mean R2* and susceptibility are closer to linear. We further studied the spatial variation in these structures and the results show that the spatial gradient of some structures (e.g. caudate and putamen) also changes with age. Normative trajectories of these parameters in subcortical grey matter associated with ageing are also investigated. |
| 1308 | 15:05
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Differences in age trajectories of intracortical myelin across lifespan measured by MTR and T1w/T2w |
| Yu Veronica Sui1, Ryn Flaherty1, Arjun V. Masurkar2,3,4, Thomas Wisniewski2,4,5,6, Henry Rusinek1,5, and Mariana Lazar1 | ||
1Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States, 4Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States, 5Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 6Department of Pathology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Neurodegeneration, Aging In a large cohort of healthy participants (N=349, age range 18-90 years), we characterized intracortical myelin lifespan trajectories using two commonly used myelin proxies, magnetization transfer ratio (MTR) and T1w/T2w, combined with a surface-based image processing method. We showed that both measures exhibit an inverted-U shape trajectory for most cortical regions, with T1w/T2w values peaking later than MTR. A smoothed spline fitting of the trajectories allowed further delineation of onset decline age, a potential aging milestone. Frontal and temporal lobe regions showed consistently later peak ages than parietal and sensory motor regions across MRI metrics and curve fitting methods. |
| 1309
|
15:13
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Age-related alterations of hippocampal microstructure quantified using diffusion MRI in a unfolded hippocampal space |
| Yixin Ma1,2, Hansol Lee1,2, Qiyaun Tian1,2, Susie Y Huang1,2, and Hong-Hsi Lee1,2 | ||
1Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Neurodegeneration, Microstructure The hippocampus plays an important role in cognition and memory. Microstructural alterations can happen in specific sub-regions within the hippocampus in normal aging. Applying more advanced diffusion models and pinpointing changes in specific locations in the hippocampus, though challenging, may offer greater insight into subfield-specific neurodegeneration. Here, we applied advanced biophysical models of dMRI and correlated tissue parameters with age across the unfolded hippocampal coordinates in 43 healthy adults covering a wide age span. |
| 1310
|
15:21
|
Metabolite T1 relaxation times differ across the adult lifespan |
| Saipavitra Murali-Manohar1,2, Aaron T. Gudmundson1,2, Kathleen E. Hupfeld1,2, Helge J. Zöllner1,2, Steve C.N. Hui1,2, Yulu Song1,2, Christopher W. Davies-Jenkins1,2, Tao Gong3,4, Guangbin Wang3,4, Georg Oeltzschner1,2, and Richard A.E. Edden1,2 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Departments of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China, 4Departments of Radiology, Shandong Provincial Hospital, Shandong University, Shandong, China |
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Keywords: Spectroscopy, Aging, T1 relaxation times, Macromolecules, Human brain This work investigates the age-dependence of metabolite T1 relaxation times at 3T. T1 relaxation times were estimated by modeling the residual metabolite amplitudes in macromolecular spectra, acquired with pre-inversion. Posterior cingulate (PCC) and centrum semiovale (CSO) spectra were acquired in 102 healthy volunteers across five decades of adult life (20 to 69 years). T1 relaxation times of both tNAA2.0 and tCr3.0 significantly negatively correlated with age in CSO, and not in PCC. This has important implications for MRS studies of aging which tend to assume T1 relaxation times are constant as a function of age. |
| 1311 | 15:29
|
White matter changes underlying cortical changes across the lifespan |
| Kurt G Schilling1, Victor Nozais2, Francois Rheault3, Derek Archer4, Muwei Li1, Leon Y Cai5, Flavio Dell'Acqua6, John C Gore1, and Bennett A Landman5 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Institut des Maladies Neurodégénératives-UMR, Bordeaux, France, 3Sherbrooke University, Sherbrooke, QC, Canada, 4Vanderbilt University School of Medicine, Nashville, TN, United States, 5Vanderbilt University, Nashville, TN, United States, 6King's College London, London, United Kingdom |
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Keywords: White Matter, Aging Brain functions are a property of the interaction between brain areas. While much is known about cortical structure and the structural connections in the white matter, the interaction between the cortex and white matter is underexplored. Here, we aim to investigate and characterize the relationship between white and cortical changes across the lifespan. We use the functionnectome framework to associate white matter to morphological features of the cortex. Biologically, this white matter influences (or is influenced by) these cortical changes. |
| 1312 | 15:37
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Aging-related morphology and microstructure variations: Discoveries from the Lifespan Human Connectome Project - Aging |
| Tyler D. Robinson1, Yutong L. Sun1, Paul T. H. Chang1, and J. Jean Chen1,2,3 | ||
1Rotman Research Institute, Baycrest, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: White Matter, Microstructure This study compared age-related differences in white matter morphology and microstructure across ten major tracts of the human brain using diffusion data from 535 participants of the Human Connectome Project in Aging. The results are additionally assessed for agreement with retrogenesis predictions of white matter decline in normal aging. While whole-brain relationships between morphometry and white matter integrity were identified, high variability was also observed between tracts. While our data do not fully support retrogenesis models, we demonstrate patterns that may provide partial support, and highlight the need for tract-specific studies of morphological-microstructural interactions in the aging white matter. |
| 1313
|
13:45
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Deep learning-based acceleration of compressed sensing non-contrast-enhanced coronary MRA in patients with suspected coronary artery disease |
| Xi Wu1,2, Jiayu Sun1, and Xiaoyong Zhang3 | ||
1West China Hospital, Sichuan University, Chengdu, China, 2Affiliated Hospital of North Sichuan Medical College, Nanchong, China, 3Clinical Science, Philips Healthcare, Chengdu, China |
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Keywords: Vessels, Cardiovascular, Deep Learning This study aims to investigate the feasibility of a compressed sensing artificial intelligence (CSAI) framework for non-contrast-enhanced coronary MRA. The image quality and the diagnostic performance of CSAI coronary MRA in patients with suspected CAD were fully evaluated using coronary computed tomography angiography (CTA) as the non-invasive clinical reference standard. The results shows that all recruited patients completed coronary MRA with high image quality and diagnostic performance within short scan time. Therefore, we conclude that the CASI coronary MRA could be a robust and safe non-invasive alternative for excluding significant disease in patients with suspected CAD. |
| 1314 | 13:53
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Carotid wall shear stress and wall thickness in patients with familial hypercholesterolemia and their healthy siblings |
| Eva S. Peper1,2, Dieuwertje Alblas3, Renske Merton4, Sibbeliene E. van den Bosch5, Anne Spakman4, Bram F. Coolen6, Gustav J. Strijkers6, Aart J. Nederveen4, Albert Wiegman5, Jelmer M. Wolterink3, Barbara A. Hutten7, and Pim van Ooij4 | ||
1Bern University Hospital, University of Bern, Bern, Switzerland, 2Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 3Department of Applied Mathematics, Technical Medical Center, University of Twente, Enschede, Netherlands, 4Department of Radiology and Nuclear Medicine, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, location AMC, Amsterdam, Netherlands, 5Department of Pediatrics, Amsterdam University Medical Center, location AMC, Amsterdam, Netherlands, 6Department of Biomedical Engineering & Physics, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, location AMC, Amsterdam, Netherlands, 7Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, location AMC, Amsterdam, Netherlands |
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Keywords: Flow, Velocity & Flow, vessel wall, carotids, familial hypercholesterolemia Familial hypercholesterolemia (FH) leads to premature atherosclerosis. In this study we use 4D flow and 3D black blood (BB) MRI to investigate carotid artery wall shear stress (WSS) and wall thickness (WT) 3D maps and their relation, in FH patients on lifelong statin prescriptions and their unaffected siblings (n=234). We applied machine learning segmentation technology and 3D statistical analysis methods and found that ensemble-averaged carotid WSS and WT maps were highly similar between the groups. However, the 3D carotid correlation coefficient maps showed lower agreement between WT and WSS in patients, suggesting abnormal wall remodeling processes compared to the siblings. |
| 1315 | 14:01
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Predicting carotid plaque vulnerability by macrophage-targeted nanocluster-enhanced high-resolution vessel wall imaging |
| Yan Gong1, Menglin Wu2, Dingwei Fu3, Yu Guo4, Xiudi Lu5, Ying Zou6, Xiang Zhang1, Jinxia Zhu7, Xianchang Zhang7, Xue Li2, and Shuang Xia5 | ||
1Department of Radiology, Tianjin Nankai Hospital, Tianjin, China, 2Department of Radiology, Second Hospital of Tianjin Medical University, Tianjin, China, 3Department of Radiology, First Central Clinical College, Tianjin Medical University, Tianjin, China, 4Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China, 5Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin，China National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China, 6First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin，China National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China, 7MR Collaboration, Siemens Healthcare Ltd., Beijing, China |
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Keywords: Vessel Wall, Atherosclerosis, macrophage Ischemic stroke can be attributed to the sudden rupture of high-risk atherosclerotic plaques. Therefore, identifying vulnerable plaque is essential for preventing acute vascular events. Increasing evidence has established that macrophages play a vital role in the pathogenesis of atherosclerosis. Using the black-blood technique, an imaging approach that suppresses blood signals to highlight the arterial wall, and a macrophage-targeted contrast agent, plaque vulnerability could be quantitatively assessed for the macrophage burden. This in vivo animal study non-invasively evaluated the plaque vulnerability, which may provide information on the clinical risk stratification. |
| 1316 | 14:09
|
Highly-Efficient 3D free-breathing whole-heart MRA in 3 min: Clinical validation in patients with adult congenital heart disease |
| Anastasia Fotaki1, Camila Munoz1, Christopher Rush2, Carlos Velasco1, Karl Kunze1,3, Radhouene Neji1,3, Kuberan Pushparajah1, Rene M Botnar1,4,5,6, and Claudia Prieto1,4,5,6 | ||
1King's College London, London, United Kingdom, 2St Thomas’ Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 4School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile |
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Keywords: Vessels, Cardiovascular, angiography Cardiovascular MRA is established for serial anatomical evaluation of patients with congenital heart disease (CHD). However, this approach is limited by diaphragmatic respiratory navigation, that leads to long acquisition times and degraded image quality due to residual motion artefacts. Here we evaluate a novel accelerated whole-heart framework in patients with adult CHD. This approach incorporates image-based navigation for translational and non-rigid motion-correction along with 3D patch-based denoising for efficient, free-breathing 3D whole-heart imaging. Comparison between the conventional and the research sequence shows superior diagnostic confidence and diagnostic accuracy for the proposed technique in significantly faster acquisition time (~3min proposed,~15min clinical). |
| 1317 | 14:17
|
Similarity-driven motion-resolved reconstruction for ferumoxytol-enhanced whole-heart MRI of congenital heart disease patients |
| Ludovica Romanin1,2, Bastien Milani1, Christopher W. Roy1, Aurélien Bustin1,3,4, Salim Si-Mohamed1,5,6, Milan Prsa7, Tobias Rutz8, Estelle Tenisch1, Juerg Schwitter8,9, Matthias Stuber1,10, and Davide Piccini1,2 | ||
1Diagnostic and Interventional Radiology, University Hospital of Lausanne (CHUV), Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Pessac-Bordeaux, France, 4Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Pessac, France, 5INSA-Lyon, CNRS, Inserm, CREATIS, Université de Lyon, Villeurbanne, France, 6Département de Radiologie, Louis Pradel Hospital, Hospices Civils de Lyon, Bron, France, 7Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne, Division of Pediatric Cardiology, Lausanne, Switzerland, 8Heart and Vessel Department, Lausanne University Hospital and University of Lausanne, Service of Cardiology, Lausanne, Switzerland, 9Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 10Center for Biomedical Imaging (CIBM), Lausanne, Switzerland |
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Keywords: Heart, Motion Correction Ferumoxytol-enhanced free-running whole-heart MRI allows for a comprehensive evaluation of the cardiovascular anatomy in 3D. A similarity-driven multi-dimensional binning algorithm (SIMBA) has been proposed as a fast and efficient reconstruction of such data, by clustering and selecting motion-consistent information. In this work, we extend the SIMBA reconstruction to make use of the inherent redundancy of motion-consistent information using a compressed-sensing reconstruction, in which sparsity is maximized by the integration of inter-cluster non-rigid 3D motion-fields. With this new framework we demonstrate improved image quality, increased coronary sharpness and vessel conspicuity. |
| 1318
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14:25
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Sex differences between total cerebral blood flow and age-related changes in the brain using 4D flow MRI |
| Alma Spahic1, Grant S. Roberts1, Anthony Peret2, Rebecca L. Koscik3, Erin Jonaitis3,4, Carson A. Hoffman2, Leonardo A. Rivera-Rivera1,4, Karly A. Cody4, Howard A. Rowley2, Sterling C. Johnson3,4,5, Oliver Wieben1,2, Kevin M. Johnson1,2, and Laura Eisenmenger2 | ||
1Medical Physics, University of Wisconsin- Madison, Madison, WI, United States, 2Radiology, University of Wisconsin- Madison, Madison, WI, United States, 3Wisconsin Alzheimer's Institute, University of Wisconsin- Madison, Madison, WI, United States, 4Wisconsin Alzheimer's Disease Research Center, University of Wisconsin- Madison, Madison, WI, United States, 5Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, United States |
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Keywords: Flow, Aging Vascular disease is strongly associated with Alzheimer’s disease. Therefore, it is important to establish normative cerebrovascular changes in aging populations. In this study, we assess sex-specific, age-related changes in total cerebral blood flow (tCBF) and total parenchymal volume in 754 cognitively healthy, older adults. We further investigate whether the same changes are observed in flow normalized by total parenchymal volume. We found (1) significant decrease in tCBF and total parenchymal volume with age in both sexes, (2) no correlation between age and normalized flow in male subjects, and (3) significant decrease in normalized flow with age in female subjects. |
| 1319 | 14:33
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Tortuosity and Proximal-specific Wall Shear Stress Associated with Plaque Location in Carotid Bulb: A High-resolution MRI and CFD Study |
| Lei Ren1 and Shuang Xia2 | ||
1Department of Radiology, First Central Clinical School, Tianjin Medical University, Tianjin, China, 2Tianjin First Central Hospital, Tianjin, China |
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Keywords: Atherosclerosis, Blood vessels, computational fluid dynamics This study was performed from a vessel wall imaging database, and investigated plaque characteristics, as well as geometric and hemodynamic parameters among different carotid bulb plaque locations caused by atherosclerosis. The results showed that wall shear stress (WSS) magnitudes around plaque side were lower than non-plaque side. Tortuosity of stenosed region, magnitudes of relative residence time and transverse WSS in the proximal part of the lesion were the key factors independently associated with plaque location. This suggested that plaque formation was associated with local flow pattern; and tortuosity, proximal-specific hemodynamics were significantly associated with plaque location in the carotid bulb. |
| 1320
|
14:41
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Multi-channel CAscaded Multi-scale WAvelet with iterative REfinement (CAMWARE) network for accelerated whole-brain vessel wall imaging |
| Junzhou Chen1, Zhehao Hu1, Dan Ruan2, Fei Han3, xiaoming Bi3, Alexander Lerner1, Roy Poblete1, and Zhaoyang Fan1 | ||
1University of Southern California, Los Angeles, CA, United States, 2University of California, Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions, Los Angeles, CA, United States |
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Keywords: Vessel Wall, Atherosclerosis 3D MR vessel wall imaging (VWI) is a non-invasive imaging modality for directly assessing intracranial arterial wall diseases. A typical intracranial VWI protocol requires 6-12 minutes per scan to obtain adequate spatial coverage and resolution. Such a long scan time hinders widespread use of VWI in clinical settings. We have developed a multi-channel application-ready intracranial vessel-dedicated CAscaded Multi-level WAvelet REfine (CAMWARE) network that enables a VWI scan within 4 minutes. The proposed network achieved significant improvement in vessel wall delination over conventional compressed sensing reconstruction. |
| 1321 | 14:49
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MR Multitasking-based Multi-dimensional Assessment of Cardiovascular System (MT-MACS): Initial Clinical Experience |
| Jiayu Xiao1, Yang Chen1, Xin Liu2, Zhehao Hu1, Debiao Li3, Anthony Christodoulou3, Parveen Garg4, Michael Fong4, Alison Wilcox4, Qi Yang2, and Zhaoyang Fan1,5,6 | ||
1Radiology, Keck School of Medicine of USC, Los Angeles, CA, United States, 2Beijing Chaoyang Hospital, Beijing, China, 3Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Cardiology, Keck School of Medicine of USC, Los Angeles, CA, United States, 5Radiation Oncology, Keck School of Medicine of USC, Los Angeles, CA, United States, 6Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Myocardium, Cardiomyopathy Cardiovascular diseases are common causes of mortality and morbidity globally. An MR MultiTasking based 3D Multi-dimensional Assessment of Cardiovascular System (MT-MACS) technique has recently been developed to provide multi-contrast, cardiac phase-resolved imaging of the whole heart and thoracic aorta in a single scan without the need for ECG triggering or respiratory navigation. We aimed to assess the performance of MT-MACS in patients with suspicious cardiovascular diseases. We demonstrated the feasibility of using MT-MACS in a routine clinical setting. More importantly, it achieved good image quality in most patients with almost perfect inter-reader agreement and diagnostic accuracy. |
| 1322 | 14:57
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Relaxation-Enhanced Angiography without Contrast and Triggering （REACT） for evaluation of iliac vein compression syndrome at 3T |
| Fengming Tao1, LI Tao1, and Xiaoyong Zhang2 | ||
1The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 2Clinical Science, Philips Healthcare, Chengdu, China |
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Keywords: Vessels, Blood vessels Relaxation-Enhanced Angiography without Contrast and Triggering (REACT) is a novel flow-independent MR angiography technique without cardiac triggering, breath holding and contrast agent injection and has promising results to show robust blood-to-tissue contrast over multiple anatomies. This study aims to investigate the feasibility of REACT for evaluation iliac vein compression syndrome in comparison with catheter angiography. Results showed that with comparable image quality to catheter angiography and high sensitivity and specificity for the detection of stenosis, REACT was proven to be a clinically applicable method for assessing iliac vein compression syndrome. |
| 1323 | 15:05
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Automated Contrast Selection for Robust Bright- and Black-Blood Myocardial Scar Imaging |
| Victor de Villedon de Naide1, Indra Ribal1, Pauline Gut1,2, Valéry Ozenne1, Géraldine Montier3, Jean-David Maes3, Thibault Boullé3, Guillaume Delclaux3, Aurélien Maillot1, Soumaya Sridi3, Bruno Quesson1, Matthias Stuber1,2,4, Hubert Cochet1,3, and Aurélien Bustin1,2,3 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Avenue du Haut Lévêque, 33604, Pessac, France, Bordeaux, France, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, Lausanne, Switzerland, 3Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France, Bordeaux, France, 4CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Lausanne, Switzerland |
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Keywords: Heart, Data Processing, late gadolinium enhancement, black-blood, TI scout Phase-sensitive inversion recovery is the reference imaging technique for the assessment of myocardial scars. Despite its ability to provide excellent contrast between healthy and scar tissue, small subendocardial scars can be challenging to detect due to poor scar-to-blood contrast. Joint bright- and black-blood late gadolinium enhancement techniques have been developed to provide both scar and anatomy information. Black-blood contrast is obtained after manual selection of an optimal inversion time (TI). This often results in uncertainties, variability, increased workload, and operator-dependency. In this work, we propose a method exploiting artificial intelligence to fully automate TI selection for more robust cardiac imaging. |
| 1324 | 15:13
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Lung water estimation using cardiac magnetic resonance imaging for predicting adverse cardiovascular outcomes in patients with heart failure |
| Priya Jagia1, Mansi Verma2, and Sanjeev Kumar3 | ||
1Dept of cardiovascular radiology and Endovascular interventions, All India institute of medical sciences, Delhi, India, 2Dept of cardiovascular radiology and Endovascular interventions, All India institute of medical sciences, Delhi, Delhi, India, 3Dept of Cardiovascular radiology and Endovascular interventions, All India institute of medical sciences, Delhi, Delhi, India |
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Keywords: Heart, Lung, Heart failure The present study sought to determine whether CMR-derived lung water density (LWD) measurement in pulmonary congestion has prognostic relevance in predicting adverse cardiovascular outcomes in patients with heart failure. The primary endpoint was all-cause mortality or HF-related hospitalization within 6 months from CMR. It concluded - 1. The mean lung water density was significantly higher in heart failure patients compared to healthy controls. 2. Patients with “wet lungs” i.e., lung water density >18.1%, had higher incidence of adverse cardiovascular outcomes compared to patients with “dry lungs”. 3. Lung water density was an independent predictor of adverse cardiovascular outcomes |
| 1325 | 15:21
|
AI-based Single-Click Cardiac MRI Exam: Initial Clinical Experience and Evaluation in 44 Patients |
| Jens Wetzl1, Seung Su Yoon1, Michaela Schmidt1, Alexander Haenel2, Alexandra-Bianca Weißgerber2, Jörg Barkhausen2, and Alex Frydrychowicz2 | ||
1Siemens Healthcare GmbH, Erlangen, Germany, 2Klinik für Radiologie und Nuklearmedizin, Universitätsklinikum Schleswig-Holstein Campus Lübeck, Lübeck, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Cardiovascular, Workflow We propose an Artificial Intelligence-based single-click cardiac MR exam to support technicians and increase standardization and repeatability of cardiac exams, which we evaluate in a clinical setting with 44 patients. Automations include setting of the isocenter position, slice planning in standard and cardiac orientations, adjustment volume and inversion time. Clinical sequences that can be acquired without manual planning include CINE, STIR, T1 mapping, 3D MRA and LGE. 91% (n=40) of the acquisitions could be completed without manual operator intervention, with the majority (n=3) of failed cases caused by abnormal heart geometries leading to inadequate slice planning. |
| 1326 | 15:29
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Stability of Elevated Wall Shear Stress in Patients with Bicuspid Aortic Valve: Insights from a Multi-Year 4D Flow MRI Follow-Up Study |
| Anthony Maroun1, Michael Scott1, Haben Berhane1, Justin J. Baraboo1, Kelly Jarvis1, Bradley D. Allen1, Alex J. Barker2, and Michael Markl1 | ||
1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Radiology, University of Colorado, Aurora, CO, United States |
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Keywords: Flow, Valves 4D Flow MRI can identify aortic regions exposed to high wall shear stress (WSS) compared to age and sex-matched controls. This concept, known as WSS ‘heatmaps’, has recently shown potential to improve risk stratification in patients with bicuspid aortic valve (BAV). We examined the reproducibility of heatmaps in a cohort of 20 stable BAV patients with five consecutive 4D flow MRI scans and found no significant change over time. In addition, we found high reproducibility of WSS patterns and regions of elevated WSS across scans. Our findings, therefore, suggest that heatmaps can serve as a robust BAV risk measure. |
| 1327 | 15:37
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Factors Affecting Outcomes in Nonischemic Dilated Cardiomyopathy: Development and Validation of a CMR-Based Nomogram |
| Xiaorui Xiang1, Xiaoqiang Lin2, and Shihua Zhao1 | ||
1Fuwai Hospital and National Center for Cardiovascular Diseases, Beijing, China, 2Union Hospital of Fujian Medical University, Fujian, China |
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Keywords: Cardiomyopathy, Cardiomyopathy Risk evaluation for patients with NIDCM remains an important public health challenging, and new techniques and strategies are expected to be used to prevent cardiac death. This study was designed to develop and validate a novel nomogram score to predict outcomes in patients with NIDCM over a long follow-up time period. |
| 1328
|
Pitch: 13:45 Poster: 13:45 Screen 1
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Development and Validation of a Radiomics Model in Differentiating Sinonasal Mucosal Melanomas from Sinonasal Lymphomas |
| Shengyong Li1, Linying Guo2, Jing Zhang1, Yang Song3, Shengjian Zhang4, Rifeng Jiang5, Guang Yang1, and Zuohua Tang2 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 4Department of Radiology, Shanghai Cancer Center of Shanghai Medical School, Fudan University, Shanghai, China, 5Department of Radiology, Fujian Medical University Union Hospital, FuZhou, China |
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Keywords: Head & Neck/ENT, Multimodal Sinonasal mucosal melanomas (SNMM) are clinically more aggressive than its cutaneous counterpart and presented markedly poor prognosis. To differentiate sinonasal melanomas from sinonasal lymphomas, a radiomics model was built using features from multi-parametric MRI, including T1-weighted imaging (T1WI), T2 weighted imaging (T2WI), DWI and C-T1WI. In this multicenter retrospective study, 189 patients diagnosed with SNMMs or sinonasal lymphoma were enrolled from three institutions. The proposed model achieved AUCs of 0.884 and 0.870 in the internal and external validation set, respectively. |
| 1329 | Pitch: 13:45 Poster: 13:45 Screen 2
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Comparison of Image Quality and ADC Measurement between DWIs with and without Reverse Encoding Distortion Correction in Head and Neck Tumors |
| Hirotaka Ikeda1, Yoshiharu Ohno1,2, Kaori Yamamoto3, Maiko Shinohara3, Masato Ikedo3, Masao Yui3, Akiyoshi Iwase4, Minami Furuta1, Yuki Obama1, Hiroyuki Nagata2, Takahiro Ueda1, Yoshiyuki Ozawa1, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Fujita Health University Hospital, Toyoake, Japan |
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Keywords: Cancer, Head & Neck/ENT We hypothesize that RDC is useful for image quality and diagnostic performance improvements on DWI with b value at 1500 s/mm2 in suspected prostatic cancer patients, although there was little influence of RDC on DWI at in vitro study. The purpose of this study was to determine the influence of RDC for ADC measurement at in vitro study and its’ utility for improving image quality and diagnostic performance of malignant from benign head and neck tumors on DWI as in vivo study. |
| 1330 | Pitch: 13:45 Poster: 13:45 Screen 3
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Evaluation of reverse encoding distortion correction DWI in patients with non-functioning pituitary macroadenoma |
| Shuichi Ito1, Sachi Okuchi1, Yasutaka Fushimi1, Kanae Kawai Miyake2, Koji Fujimoto3, Hitomi Numamoto2, Satoshi Nakajima1, Akihiko Sakata1, Takuya Hinoda1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Hiroshi Tagawa1, Yang Wang1, Satoshi Ikeda1, Miyuki Takiya1, Hiroki Kondo4, Rimika Imai4, Tsuneo Saga2, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 3Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 4Canon Medical Systems Corporation, Otawara, Japan |
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Keywords: Head & Neck/ENT, Diffusion/other diffusion imaging techniques Reverse encoding distortion correction diffusion-weighted imaging (RDC-DWI) is a novel on-console technique to reduce eddy current-induced distortion of motion probing gradient (MPG) images in addition to B0 field inhomogeneity. We compared RDC-DWI, B0-corrected-DWI, and original DWI in patients with unoperated non-functioning macroadenoma or residual pituitary macroadenoma after surgery. RDC-DWI had the best image quality regarding distortion, artifacts and overall tumor visualization, which suggested that RDC-DWI facilitates accurate visualization in the pituitary region on DWI. |
| 1331 | Pitch: 13:45 Poster: 13:45 Screen 4
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Use of diffusion kurtosis imaging and dynamic contrast-enhanced MRI in differentiating parotid gland tumors |
| zijun Liu1, baohong Wen1, and yan Zhang1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT, Parotid gland tumors This study evaluates the usefulness of combined Diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating parotid gland tumors. DKI and DCE-MRI quantitative parameters were analyzed by using the Kruskal-Wallis H test and post hoc test with bonferroni correction or the one-way analysis of variance (ANOVA) with LSD method, and ROC curve. Our research shows that the significant parameters in stepwise diagnosing parotid gland tumors were Kep, Ktrans, and D value. Therefore, the combined use of DKI and DCE-MRI could be used to differentiate various parotid gland tumors, and it may be helpful for differentiating parotid gland tumors. |
| 1332 | Pitch: 13:45 Poster: 13:45 Screen 5
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Feasibility study of using time-dependent diffusion MRI to distinguish parotid polymorphic adenoma from Warthin's tumor |
| Di Geng1, Xiance Zhao2, Yishi Wang3, Xiaoquan Xu1, and Feiyun Wu1 | ||
1Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China, Nanjing, China, 2Philips Healthcare, Shanghai, China, Shanghai, China, 3Philips Healthcare, Beijing, China, Beijing, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT IMPULSED (Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion) imaging method based on time-dependent diffusion magnetic resonance imaging (MRI) could be used to quantify cell sizes. We found that several quantitative parameters derived from IMPULSED including Vin (intracellular volume fraction), d (volume-weighted mean cell size) and cellularity showed significant differences between polymorphic adenoma (PA) and Warthin’s tumor (WT) in the parotid gland. Our findings shed light on the role of IMPULSED-derived quantitative parameters in distinguishing PAs from WTs preoperatively. |
| 1333 | Pitch: 13:45 Poster: 13:45 Screen 6
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Deep learning for automatic detection and contouring of parotid gland tumors on MRI |
| Rongli Zhang1, Qi Yong H. Ai1,2, Lun M. Wong1, Qiao Deng1, and Ann D. King1 | ||
1Department of Imaging and Interventional radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, HongKong, China, 2Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China |
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Keywords: Cancer, Head & Neck/ENT Parotid gland tumors (PGTs) are often asymptomatic and an incidental finding on MRI that can be overlooked. We constructed an accurate artificial intelligence (AI) tool trained on fat-suppressed T2-weighted MRI to automatically identify patients with PGTs with an accuracy of 94.3% (99/105), a sensitivity of 94.0% (47/50) and a specificity of 94.5% (52/55). For identified PGT patients, automatic segmentations of the tumor and gland were performed and achieved dices of 77.2% and 86.3%, respectively. The proposed AI tool may assist radiologists by acting as a second pair of eyes to ensure incidental PGTs on MRI are not missed. |
| 1334 | Pitch: 13:45 Poster: 13:45 Screen 7
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A Pilot Evaluation of TSE MVXD based IVIM in Characteristics and Diagnosis of Nasopharyngeal Carcinoma |
| Yifen Zhou1,2, Rui Chen1,2, Huifen Ye1,2, Zhigang Wu3, Yongzhou Xu3, Zaiyi Liu1,2, and Guangyi Wang1,2 | ||
1Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China, Guangzhou, China, 2Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, Guangzhou, China, 3MSC Clinical & Technical Solutions, Philips Healthcare, China, Shenzhen, China |
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Keywords: Diffusion/other diffusion imaging techniques, Contrast Mechanisms, Turbo Spin-echo; Multivane-XD; Intravoxel Incoherent Motion; Contrast-enhanced imaging; Nasopharyngeal carcinoma Diagnosis of Nasopharyngeal Carcinoma (NPC) remains challenge since the contrast-enhanced T1-weighted imaging (CE-T1WI) may lead to harmful impact by the accumulation of contrast agent in patients and its potential adverse reactions. TSE MVXD DWI based IVIM, a considerable alternative, was performed on 32 NPC patients with significant tumors to evaluate the relation with CE-T1WI. As the result showed, the TSE MVXD DWI based IVIM had significantly relation with CE T1WI. It is potentially a promising and valuable non-invasive method in the detection of NPC. |
| 1335 | Pitch: 13:45 Poster: 13:45 Screen 8
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Radiomics model based on MRI for early prediction of radiation encephalopathy in nasopharyngeal carcinoma |
| Lixuan Huang1, Zongxiang Yang1, Hao Ren2, Yao Hu1, Cheng Tang1, Huiting Zhang3, and Liling Long1 | ||
1The First Affliated Hospital of Guangxi Medical University, Nanning, China, 2Guangxi Medical University Kaiyuan Langdong Hospital, Nanning, China, 3MR Scientific Marketing, Siemens Healthineers Ltd, Wuhan, China |
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Keywords: Head & Neck/ENT, Radiomics This study aimed to develop radiomic models based on MRI to investigate the changes of temporal lobe heterogeneity in nasopharyngeal carcinoma (NPC) patients with radiation encephalopathy (REP) during the latent period, and to predict the temporal lobe REP early. Results showed that The AUC of radiomics-clinics combined model was higher than radiomics model and clinics model, with better accuracy. Our study suggested that the radiomics-clinics combined model may be an effective method for the noninvasive prediction of REP in NPC patients after radiotherapy. |
| 1336 | Pitch: 13:45 Poster: 13:45 Screen 9
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Dynamic contrast-enhanced MRI-based interstitial fluid pressure model in evaluation of nasopharyngeal carcinoma |
| Guixiao Xu1, Chuanmiao Xie1, Hui Li1, Yun He1, Liangru Ke1, Haibin Liu1, Liyun Zheng2, and Yongming Dai3 | ||
1Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China, 2Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT Nasopharyngeal carcinoma is cancer arising from the nasopharynx epithelium. The most widely researched etiological factor for nasopharyngeal carcinoma is the Epstein-Barr virus (EBV) infection. Elevated interstitial fluid pressure (IFP) is a significant biomarker for assessing head and neck malignant tumors. This study aimed to use the non-invasive dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-based IFP model to evaluate nasopharyngeal carcinoma and distinguish the differences between nasopharyngeal carcinoma patients with low and high EBV-infected levels. As a result, the non-invasive DCE-MRI-based IFP model could be used to evaluate nasopharyngeal carcinoma and differentiate patients with high- and low-level plasma EBV DNA. |
| 1337 | Pitch: 13:45 Poster: 13:45 Screen 10
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Application of IVIM, DKI, FROC and CTRW in vascular normalization induced by recombinant human endostatin in nasopharyngeal carcinoma. |
| Lixuan Huang1, Hao Ren2, Zongxiang Yang1, Yao Hu1, Huiting Zhang3, and Liling Long1 | ||
1The First Affliated Hospital of Guangxi Medical University, Nanning, China, 2Guangxi Medical University Kaiyuan Langdong Hospital, Nanning, China, 3MR Scientific Marketing, Siemens Healthineers Ltd., Wuhan, China |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques This study explored the vascular normalization induced by recombinant human endostatin (RHES) in nasopharyngeal carcinoma (NPC) based on IVIM, DKI, FROC and CTRW. Results showed that the DKI_D, CTRW_alpha, and FROC_D had a significant difference between prior-treatment and Day 5 in RHES group, FROC_mu in Day 5 and CTRW_alpha in post-treatment were statistically significant in two groups, and DKI_K with decreased trend with the progress of RHES + IC treatment. These results suggest that the four diffusion models can detect the noninvasively monitor the vascular normalization induced by RHES in NPC. |
| 1338 | Pitch: 13:45 Poster: 13:45 Screen 11
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Apparent diffusion coefficient histogram analysis of adenoid cystic carcinoma: correlation with histopathology and the prediction of survival |
| TANG WEIQING1, SONG YANG2, YING YUAN1, and TAO XIAOFENG1 | ||
1Radiology, Shanghai Ninth People’s Hospital,Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2MR Scientific Marketing, Siemens Healthcare. Shanghai, China, Shanghai, China |
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Keywords: Head & Neck/ENT, Cancer The aim of this retrospective study is to explore the value of histogram analysis of apparent diffusion coefficient (ADC) values for distinguishing different subtypes of adenoid cystic carcinoma (ACC) and prediction of survival. Receiver operating characteristic curve analysis was used to determine the best differentiating parameters. The ADC_10th percentile values achieved highest diagnostic efficacy with an AUC of 0.821. The multivariable Cox proportional hazards model found that radiomic signature and tumor stage were significant predictors in ACC patients. Histogram analysis of ADC values may be helpful for differentiating the subtypes of ACC, leading to improved targeted treatment and reduced morbidity. |
| 1339 | Pitch: 13:45 Poster: 13:45 Screen 12
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A Novel MR Sequence of 3D-ZOOMit Real Inversion Recovery Imaging Improves Endolymphatic Hydrops Detection in Patients with Ménière’s Disease |
| Jinye Li1, Lixin Sun2, Na Hu2, Mengxiao Liu3, Linsheng Wang2, and Chuanting Li2 | ||
1shangdong provincial ENT hospital, Jinan, China, 2Shandong Provincial ENT Hospital, Jinan, China, 3Siemens healthineers, Shanghai, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT In order to visualize endolymphatic hydrops in Ménière’s disease better, we compared the conventional 3D real IR and ZOOMit 3D real IR sequence. Results suggest that visualization of the endolymphatic space might be higher by zs-3D real IR compared with t-3D real IR, especially in the cochlea. |
| 1340 | Pitch: 13:45 Poster: 13:45 Screen 13
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Automatic facial nerve tractography in patient with vestibular schwannoma |
| Chenxi Lu1, Qiqi Tong2, Mantao Chen3, Xiujue Zheng3, Jianhui Zhong1,4, and Hongjian He1,5 | ||
1Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 2Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China, 3Department of Neurosurgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China, 4University of Rochester, Rochester, NY, United States, 5School of physics, Zhejiang University, Hangzhou, China |
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Keywords: Nerves, Tractography & Fibre Modelling Facial nerve tractography has recently been recognized as a valuable tool for predicting risk before vestibular schwannoma surgery to preserve function. Due to complexity of tissue structure, professional experience is usually required to manually adjust tracking parameters and place exclusion ROIs for optimal tractography. A pipeline for automatic facial nerve tractography will significantly lessen surgeons' workload. Here, we proposed a fiber growing method for adjusting the angle threshold adaptively and removed track outliers. Results show that the proposed method achieves good consistency with the manual method. The pipeline would have great potential for assisting clinic surgeries for vestibular schwannoma. |
| 1341 | Pitch: 13:45 Poster: 13:45 Screen 14
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Identifiy geniculate ganglion venous malformation from geniculate ganglion schwannoma using dynamic contrast-enhanced MRI |
| Mengda Jiang1, Yongchuan Chai2, Yang Song3, and Xiaofeng Tao1 | ||
1Department of Radiology, Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiaotong Universit, ShangHai, China, 2Department of Otolaryngology, Head & Neck Surgery, Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Keywords: Head & Neck/ENT, Nerves, Geniculate Ganglion, Facial Nerve To evaluate the CT and MRI findings to identify geniculate ganglion venous malformation (GGVM) and geniculate ganglion schwannoma (GGS). Clinical data, lesion size, involvement of facial nerve (FN) segment, signal intensity, homogeneity, the enhancement pattern on DCE-MRI, characteristics of bone destruction on HRCT were evaluated. Lesion size, involvement of FN segment, T1W and T2W intensity, and homogeneity on DCE-MRI were statistically different between them. For regression model, the “honeycomb” sign and “point-to-side” enhancement pattern were independent risk factor (AUC=0.975, accuracy=97.70%, sensitivity=95%, specificity=100%, PPV=100%, NPV=95.80%). |
| 1342 | Pitch: 13:45 Poster: 13:45 Screen 15
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Quantitative ΔR1 and PK Mapping Supports Tumor Habitat Delineation and Anti-Angiogenic Response Prediction of Vestibular Schwannoma |
| Xiaoping Zhu1, Daniel Lewis2,3,4, Ka-Loh Li1, William Lloyd1, Mueez Waqar2,3,5, Ibrahim Djoukhadar3,6, David J Coope2,3,4, Andrew T King2,3, Timothy Cootes1, and Alan Jackson1 | ||
1DIIDS, University of Manchester, Manchester, United Kingdom, 2Dept. of Neurosurgery, Manchester Academic Health Science Centre, Manchester Academic Health Science Centre, Salford, United Kingdom, 3Geoffrey Jefferson Brain Research Centre, University of Manchester, Salford, United Kingdom, 4Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 5Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 6Dept. of Neuroradiology, Manchester Academic Health Science Centre, Manchester, United Kingdom |
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Keywords: Head & Neck/ENT, Tumor In this study we sought to undertake histogram and habitat analyses of tumoural DCE-MRI derived microvascular kinetic parameters and quantitative relaxation rate changes (ΔqR1) in patients with sporadic and neurofibromatosis type 2 (NF2) related vestibular schwannoma (VS). We demonstrate that within imaged VS tumours there is considerable intratumoural heterogeneity in DCE-MRI derived microvascular metrics and ΔqR1, with distinct intratumoural regions or habitats displaying high Ktrans, vp and ΔqR1 values respectively. We furthermore demonstrate within a cohort of NF2-related VS undergoing anti-angiogenic (bevacizumab) therapy that both pre-treatment Ktrans and ΔqR1 are predictive of later tumour volumetric response at 90 days post-treatment. |
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Disrupted within-network segregations and between-network integrations in age-related hearing loss with cognitive decline |
| Zhaopeng Tong1, Chunhua Xing2, Xiaomin Xu2, Jin-Jing Xu2, Yuanqing Wu2, Richard Salvi3, Xindao Yin2, Yu-Chen Chen2, and Yuexin Cai1 | ||
1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China, 2Nanjing First Hospital, Nanjing Medical University, Nanjing, China, 3University at Buffalo, The State University of New York, Buffalo, NY, United States |
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Keywords: Head & Neck/ENT, fMRI (resting state), Brain Connectivity, Degenerative, Dementia, Neuroscience Age-related hearing loss is generally associated with dementia. However, the underlying mechanisms and causal relationship linking ARHL to dementia are poorly understood. Based on resting-state fMRI, the study found that ARHL disrupts specific aspects of resting-state functional connectivity patterns across frontal-parietal regions of the central nervous system; these changes presumably reflect cortical reorganization resulting from auditory sensory deprivation and/or the long-term consequences of effortful listening. The ARHL disruption of network information processing presumably accelerates brain aging and contributes to cognitive decline. |
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Optimisation of an MRI protocol to assess the effects of noise exposure on the auditory pathway |
| Rebecca Susan Dewey1,2,3, Hannah Guest4,5, Rebecca E Millman4,5, Garreth Prendergast4,5, Christopher J Plack4,5,6, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 2National Institute for Health and Care Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom, 3Hearing Sciences, Division of Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4Manchester Centre for Audiology and Deafness (ManCAD), University of Manchester, Manchester, United Kingdom, 5National Institute for Health and Care Research (NIHR) Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom, 6Department of Psychology, Lancaster University, Lancaster, United Kingdom |
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Keywords: Head & Neck/ENT, Nerves, Neurography, diffusion, DTI Recent findings suggest that noise exposure can cause substantial damage to the auditory nerve, without damage to the sensory hair cells or loss of threshold sensitivity. It is unclear which physiological measures are most sensitive to neural damage. Here, a comprehensive MRI protocol (neurography, high-resolution DTI of the auditory nerve and brain, morphometry, T1-myelination mapping, and resting-state functional connectivity) to study the ascending auditory pathway (auditory nerve, auditory brainstem, and cortex) is described. 200 participants will be recruited with varying noise exposure levels, with the aim of identifying diagnostic tests indicative of future hearing loss. |
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Visualization of the extracranial branches of the trigeminal nerve using iMSDE preparation 3D IR-TSE |
| Dejun She1,2,3, Hao Huang1,2, Peiying You1,2, Lu Li4, Xiance Zhao5, and Dairong Cao1,2,3,6 | ||
1Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China, 2Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China, 3Key Laboratory of Radiation Biology of Fujian higher education institutions, First Affiliated Hospital, Fujian Medical University, Fuzhou, China, 4The School of Medical Imaging, Fujian Medical University, Fuzhou, China, 5Philips Healthcare, Shanghai, China, 6Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, First Affiliated Hospital of Fujian Medical University, Fuzhou, China |
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Keywords: Nerves, Nerves, magnetic resonance neurography; trigeminal nerve Visualization of the anatomy of extracranial the trigeminal nerve (TGN) is crucial to detect nerve pathological alterations and differentiate pathologic causes. As a novel and safe nerve imaging technique in magnetic resonance neurography (MRN), the iMSDE pulse could result in uniform vascular signal suppression without additional contrast agents, which has been demonstrated to improve the visualization of peripheral nerves in several anatomical regions. Our results suggested that the iMSDE 3DIRTSE is a viable alternative to conventional 3DIRTSE and contrast-enhanced 3DIRTSE for MRN of the extracranial branches of TGN in clinical practice. |
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Carotid plaque predicts progression of intracranial atherosclerosis: A MR imaging-based community cohort study |
| Miaoxin Yu1, Dandan Yang2, Runhua Zhang1, Yong Jiang1, Huiyu Qiao3, Xihai Zhao3, Gaifen Liu1, and Yongjun Wang1 | ||
1Department of Neurology, Beijing Tiantan Hospital, Beijing, China, 2Department of Radiology, Beijing Geriatric Hospital, Beijing, China, 3Tsinghua University, Beijing, China |
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Keywords: Head & Neck/ENT, Atherosclerosis Intracranial atherosclerotic disease progression is associated with recurrent stroke risk. In the present study, we investigated the association between carotid plaque and intracranial atherosclerosis progression in stroke-free participants using MR vessel wall imaging. In 312 participants recruited from a community cohort, we found that carotid plaque was independently associated with intracranial atherosclerosis progression during around 3-years’s follow-up. Our findings suggest that carotid plaque may be an effective predictor for intracranial atherosclerosis progression. |
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Dose finding and sequence tailoring in sentinel lymph node detection of tongue cancer using superparagmagnetic iron-oxide particles |
| Gijs Heldens1, Daphne Driessen2, Tim Dijkema3, Anne Arens3, Patrik Zámecnik3, Sjoert Pegge3, Willem Weijs4, Adriana van Engen-van Grunsven5, Robert Takes1, Johannes Kaanders2, and Tom Scheenen3 | ||
1Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, Netherlands, 2Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, Netherlands, 3Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 4Department of Oral- and Maxillofacial Surgery and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, Netherlands, 5Department of Pathology, Radboud University Medical Center, Nijmegen, Netherlands |
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Keywords: Cancer, Head & Neck/ENT To clarify the amount, timing and optimal pulse sequence settings of using interstitial superparamagnetic iron oxide particles (SPIO) as a contrast medium to detect sentinel lymph nodes in head and neck radiology, we injected SPIO peritumorally in six patients with early-stage oral squamous cell carcinoma. Anatomical and T2*-weighted MR images were acquired, and dose was altered after every two patients. Images with different computed echo times were created to determine the signal attenuation effect of SPIO on the sentinel lymph nodes. |
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Pitch: 13:45 Poster: 13:45 Screen 21
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Spiral-based multi-contrast imaging protocol for a full brain MR exam in 2 minutes |
| Guangqi Li1, Yajing Zhang2, and Hua Guo1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2MR Clinical Science, Philips Health Technology (China), Beijing, China |
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Keywords: Multi-Contrast, Brain Fast multi-contrast brain exams are highly desirable in clinical practice. Spiral sampling has high efficiency in terms of spatial encoding. Thus it holds great potential for many MRI applications. In this work, we optimized a fast multi-contrast brain imaging protocol based on multi-shot spiral acquisitions. Six contrasts (T1W-FLAIR, T2W, PDW, T2*W, T2W-FLAIR, DWI) and apparent diffusion coefficient (ADC) maps with an in-plane resolution of 1.0 mm2 for a full brain MR exam can be obtained in about 2 minutes. |
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Decoding the phase-cycled bSSFP signal for maximized parameter quantification - T1, T2, proton density and magnetic field inhomogeneity |
| Nils Marc Joel Plähn1, Adèle Mackowiak2, Berk Açikgöz3, Eva Peper3, Giulia Rossi2, and Jessica Bastiaansen3 | ||
1Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern Universit, Bern, Switzerland, 2Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland |
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Keywords: Relaxometry, Data Analysis, phase-cycled bSSFP, T1-quantification, T2-quantification, B0 quantification, proton-density quantification, multi-parameter quantification A novel analytical method for off-resonance encoded parameter quantification of voxel-wise phase-cycled bSSFP signal profiles was developed. The approach conserves both magnitude and phase information in a complete, linearized, and compact way. A framework for ultra-rapid and simultaneous $$$T_1$$$, $$$T_2$$$, $$$B_0$$$ inhomogeneity and proton density quantification were developed. The approach was validated in simulations, phantom and in vivo knee experiments and compared with gold-standard reference measurements when available. Simulations and experiments validated the proposed method for multi-parameter quantification with high accuracy and precision, providing the first step towards novel analytical quantification possibilities with phase-cycled bSSFP. |
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Rapid PD, T2, and T2* Mapping with 2in1-RARE-EPI and Model-Based Reconstruction in Multiple Sclerosis |
| Jose Raul Velasquez Vides1, Carl J. J. Herrmann1,2, Ludger Starke1,3, Hampus Olsson1, and Thoralf Niendorf1,4 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Department of Physics, Humboldt University of Berlin, Berlin, Germany, 3Digital Health - Machine Learning Research Group, Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany, 4Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Keywords: Relaxometry, Multiple Sclerosis One obstacle of established quantitative resonance imaging methods is the excessive scan time. This study examines the use of radially-sampled 2in1-RARE-EPI in conjunction with model-based reconstruction methods for accelerated and simultaneous PD, T2, and $$$T_{2}^{*}$$$ mapping. We demonstrate that this approach facilitates a substantial decrease in acquisition time (01:40 vs. 07:12 min) of 2in1-RARE-EPI without impairing the quality of the parametric maps. Our patient data demonstrate the applicability of model-based reconstructed 2in1-RARE-EPI for T2 and $$$T_{2}^{*}$$$ mapping of multiple sclerosis lesions.
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Delta-relaxometry with contrast-enhanced MR Fingerprinting: phantom validation and application to tumor imaging |
| Shengwen Deng1, Walter Zhao2,3, David W. Jordan1, Chaitra Badve 1,4, and Dan Ma2 | ||
1Department of Radiology, Case Western Reserve University and University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 2Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Case Western Reserve University School of Medicine, Cleveland, OH, United States, 4Seidman Cancer Center and Case Comprehensive Cancer Center,, Cleveland, OH, United States |
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Keywords: Relaxometry, MR Fingerprinting, Delta Relaxometry; Tumor Imaging The influence of hemodynamics and contrast concentration can be eliminated with ratios between delta-relaxometry in contrast-enhanced MR Fingerprinting (MRF). This delta ratio can be used to characterize the in vivo contrast-specific tissue response, beyond the conventional T1/T2 shortening effect. In this abstract, we: 1) developed a MRF-based strategy to image the concentration-independent, contrast-specific tissue response using delta-relaxometry; 2) validated reproducibility and linearity of delta-relaxometry in phantom experiments; 3) reported the novel Delta-relaxometry image contrast distinct from current clinical image contrasts; and 4) illustrated the sensitivity of delta-relaxometry in brain tumor characterization and classification. |
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Real-time Multi-Contrast 4D MRI using Motion Transfer for Low-Latency Volumetric Motion Tracking on a 1.5T MR-Linac System |
| Can Wu1, Victor Murray1, Syed Siddiq1, Neelam Tyagi1, Marsha Reyngold2, Christopher Crane2, and Ricardo Otazo1,3 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Multi-Contrast, Cancer Real-time multi-contrast 4D MRI is proposed by transferring motion from 4D T1-weighted images to 3D T2-weighted images and performing fast signature matching based on T1-weighted 3D radial stack-of-stars acquisitions. The proposed approach exploits the anatomical correlations between T1-weighted and T2-weighted images and fast acquisition of T1-weighted data to generate real-time multi-contrast volumetric motion information for adaptation and monitoring of radiation treatment of tumors affected by respiratory motion on an MR-Linac system. The feasibility of the proposed method was demonstrated on patients with pancreatic cancer. |
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Oxygen-enhanced and glucose-enhanced MRI for dual mapping of hypoxia and glucose uptake in tumours at high spatial resolution |
| Ben Dickie1,2, Thomas Kisby3, Emily Rowling4, Julius Chung5, Mohammad Babur4, Lidan Christie1, Tao Jin5, Kostas Kostarelos3,6, Kaye Williams4, and James O'Connor7 | ||
1Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester Academic Health Science Centre, UK, Manchester, United Kingdom, 3Nanomedicine Lab, Faculty of Biology, Medicine and Health and National Graphene Institute, University of Manchester, UK, Manchester, United Kingdom, 4Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom, 5Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA, Pittsburgh, PA, United States, 6Catalan Institute of Nanoscience and Nanotechnology (ICN2), UAB Campus Bellaterra, Barcelona, Spain, Barcelona, Spain, 7Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK, Manchester, United Kingdom |
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Keywords: Multi-Contrast, Cancer We have developed a non-invasive imaging protocol for dual assessment of hypoxia and glucose uptake in tumours using oxygen-enhanced MRI and glucoCESL MRI, and test feasibility in GL261 glioblastoma and MOC2 head and neck cancer mouse models. GL261 tumours had a lower non-perfused fraction (p = 0.0015), a trend to higher glucose enhancing fraction (p = 0.07) and a smaller hypoxic glucose refractory fraction (p= 0.021). The normoxic glucose enhancing fraction was significantly larger than the normoxic glucose refractory fraction (p < 0.0001) in both models. These imaging tools will be used to assess the effects of hypoxia modifying drugs. |
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MRI relaxometry to measure the oxygen partial pressure and viscosity of the vitreous humour of the aging eye |
| Xingzheng Pan1, Alyssa Lie2, Renita Martis1, Beau Pontre3, Julie Lim1, Thomas White4, and Paul Donaldson1 | ||
1Physiology, University of Auckland, Auckland, New Zealand, 2Optometry and Vision Science, University of Auckland, Auckland, New Zealand, 3Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand, 4Physiology and Biophysics, Stony Brook University, New York, NY, United States |
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Keywords: Relaxometry, Oxygenation, Human eye The vitreous humour is a clear, gel-like fluid to provide structural support to the eye. Recently, it has been shown that the vitreous is important in regulating oxygen levels within the back of the eye. However, with ageing, the vitreous undergoes liquefaction, and as a result, oxygen is able to be move more freely throughout the vitreous, which increases the exposure of tissues such as the lens to oxygen. In this study, we developed MRI-based protocols to clinically monitor the oxygen levels and the fluid viscosity of the vitreous and applied these protocol in a cohort of elderly partipants. |
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Towards a multi-parametric MRI-based myelin marker for detecting enhanced myelination in the Gli1-/- mouse brain |
| Choong Heon Lee1, Mara Holloman2, Jacob Brady3, James L. Salzer2, and Jiangyang Zhang1 | ||
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Department of Neuroscience and Physiology, Neuroscience Institute, New York University School of Medicine, New York, NY, United States, 3UConn Health, Farmington, CT, United States |
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Keywords: Multi-Contrast, Microstructure Although multiple MRI-based myelin marker have been introduced, their sensitivity and specificity remained limited. Multi-parametric MRI can potentially enhance myelin mapping, but validation remains challenging. In this study, we compared myelin histology from the Gli1-/- mouse brain, which has enhanced myelination, with MRI markers based on relaxation, magnetization transfer, and diffusion properties from the same animals. We found varying degrees of correlation between MRI markers and myelin basic protein signals in multiple brain regions. Partial least square regression analysis demonstrated that multi-parametric MRI can indeed improve myelin mapping and provided information for further optimization. |
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FibraVasc: towards ex vivo MRI mapping of cerebral vascular territories, application to the vascularization of deep white matter bundles |
| Simon Legeay1, Mykyta Smirnov2, Maëlig Chauvel1, Bastien Herlin1, Laurent Barantin2,3, Ivy Uszynski1, Igor Lima Maldonado2,3, Christophe Destrieux2,3, and Cyril Poupon1 | ||
1BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, France, 2UMR 1253, iBrain, Université de Tours, Inserm, Tours, France, 3CHRU de Tours, Tours, France |
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Keywords: Relaxometry, Ex-Vivo Applications, Quantitative Imaging The arterial distribution territories of the brain remain poorly characterized and are of major importance for treating ischemic strokes. We propose a new quantitative MRI approach for ex vivo mapping of vascular territories using paramagnetic gelatin injection into cerebral arteries to enhance MRI contrast at the gelatin level. This method was applied on one healthy human brain injected into the middle cerebral artery and accurately quantified the volume fraction of blood using a dedicated protocol and a modeling of the injected tissue signal. We projected the resulting mapping along the deep white matter fiber bundles. |
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In-vivo imaging of the human thalamus: a comprehensive evaluation of structural imaging approaches for thalamic nuclei differentiation at 7T |
| Cristina Sainz Martinez1,2, José P. Marques3, Gabriele Bonanno4,5,6, Tom Hilbert4,7,8, Constantin Tuleasca8,9,10, Meritxell Bach Cuadra2,7, and João Jorge1 | ||
1CSEM - Swiss Center for Electronics and Microtechnology, Bern, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands, 4Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, 5Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine (SITEM), Bern, Switzerland, 6Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 7Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 8Signal Processing Laboratory 5 (LTS-5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 9Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 10Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland |
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Keywords: Multi-Contrast, High-Field MRI, Thalamus, Nuclei, 7 Tesla, QSM The ability to non-invasively image the thalamus and its different nuclei would be highly valuable to neuroscience and neuroradiology, but has remained challenging. Here, we initiated a comprehensive practical review of recent thalamic imaging approaches at 7 Tesla, based on T1, T2, T2* and susceptibility properties. These were all acquired on the same in-vivo brain, to avoid anatomical variability confounds. The images were qualitatively compared to histological atlases. Upon systematic assessment, QSM and GM/WM-optimized MP2RAGE proved the most valuable to differentiate specific nuclei. To our knowledge, this is the most comprehensive evaluation to date of thalamic imaging modalities at 7T. |
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Investigations of T1 Anisotropy in ex-vivo White Matter using a Tiltable Coil |
| Niklas Wallstein1, André Pampel1, Carsten Jäger1, Roland Müller1, and Harald E Möller1,2 | ||
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Physics, Leipzig University, Leipzig, Germany |
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Keywords: Relaxometry, White Matter, T1 Anisotropy WM In general, a broad consensus exists that dipolar couplings between water protons and motional restricted macromolecules are prominent modulators of longitudinal relaxation in WM. Recent studies demonstrate anisotropic relaxation in human white matter (WM) in dependence of the fibre-to-field orientation. Our approach for further investigations of such effects overcomes previous limitations, in particular, sample reorientations for a direct demonstration of orientation effects, which were missing in earlier studies. Samples of ex-vivo WM tissue of pig brain yielded slightly reduced spin-lattice relaxation times by 1-2% around an angle of 40° between the main fibre direction and B0. |
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In-vivo parcellation of human subcortex by diffusion and anatomical MRI |
| Tonima Ali1,2, Jinglei Lv1,2, Marshall Dalton2,3, Steve Kassem4, Arkiev D'Souza2,5, and Fernando Calamante1,2,6 | ||
1School of Biomedical Engineering, The University of Sydney, Sydney, Australia, 2Brain and Mind Centre, The University of Sydney, Sydney, Australia, 3School of Psychology, The University of Sydney, Sydney, Australia, 4Neuroscience Research Australia, Sydney, Australia, 5Translational Research Collective, The University of Sydney, Sydney, Australia, 6Sydney Imaging, The University of Sydney, Sydney, Australia |
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Keywords: Multi-Contrast, Diffusion/other diffusion imaging techniques, Brain, Gray matter, Segmentation, Neuro We integrated the information from structural and diffusion MRI from a group of healthy subjects, to develop a data-driven parcellation of the human subcortex. We first identified the data features that are sensitive to the micro-architectural variabilities within subcortex and then segregated specialised sub-regions with discernible properties. Our parcellated sub-regions demonstrated remarkable similarities to known nuclei and sub-structures within striatum, globus pallidus, and thalamus. Our parcellation has also identified regions which are known to have distinct anatomical and functional properties but that are yet to be explicitly added to extant human brain atlases. |
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Spectrally Selective On-Resonance Inversion Recovery at 7T for Multiple Component T1 Mapping |
| Paul S Jacobs1, Neil Wilson1, Ravi Prakash Reddy Nanga1, Blake Benyard1, Kosha Ruparel2, Dushyant Kumar1, Mark A Elliott1, David Roalf2, and Ravinder Reddy1 | ||
1Center for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Contrast Mechanisms, White Matter, High-Field MRI, Inversion Recovery Two sets of images were acquired on four healthy subjects using separate on-resonance selective and broadband inversion recovery (IR) sequences at nine different inversion times. These images were fit to a bi-exponential T1 fitting model aiming to separate out specific long and short components. The selective IR data showed a substantial increase in white matter contrast compared to the broadband data with an average T1 of approximately 300ms. This agrees with reported literature values of the T1 of myelin and suggest it may be a potential driver of this selective short T1 component contrast. |
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A Rapid, Whole-brain Quantification of T1 Relaxation Time Using Submillimetre Inversion-recovery EPI at 7T |
| Seong Dae Yun1 and N. Jon Shah1,2,3,4 | ||
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Juelich, Juelich, Germany, 2Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Juelich, Juelich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany |
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Keywords: Contrast Mechanisms, Quantitative Imaging, 7T, Inversion-recovery EPI, Rapid T1 mapping, Submillimetre and Whole-brain Knowledge of T1 relaxation time is of great interest for clinical diagnosis or MRI sequence optimisation. For the quantitative measurement of T1, the inversion-recovery method is widely used due to its relatively good accuracy or tolerance to B1 inhomogeneity. However, 2D multi-slice- or 3D segmentation-based readout methods often preclude the effect of different signal recovery modulation depending on slice locations. Therefore, this work presents a single-slice-based inversion-recovery 2D EPI method, combined with TR-external EPI phase correction at 7T, to provide rapid, whole-brain T1 mapping with a voxel size of 0.73 × 0.73 mm2. |
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Simultaneous T1 and T2 relaxometry of the human brain at 7T using Quantitative Transient-state Imaging |
| Matteo Cencini1, Rolf F Schulte2, Marta Lancione1, Carolin M Pirkl2, Laura Biagi1, Graziella Donatelli3,4, and Michela Tosetti1 | ||
1IRCCS Stella Maris, Pisa, Italy, 2GE Healthcare, Munich, Germany, 3IMAGO7 Foundation, Pisa, Italy, 4Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy |
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Keywords: High-Field MRI, High-Field MRI Fast quantitative MR methods enable repeatable and reproducible assessment of tissue properties improving diagnosis and follow-up. Here, we implemented two different 3D relaxometry methods based on quantitative transient-state imaging (QTI) for fast T1 and T2 mapping of the human brain at 7T. The two techniques were demonstrated both in-vitro and in-vivo and provided good quality parametric maps with low geometric distortion and blurring in clinically feasible acquisition and reconstruction times. |
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Disentangling T1 relaxation from MT effects in the MP2RAGE sequence |
| Lucas Soustelle1,2, Andreea Hertanu1,2, Thomas Troalen3, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Guillaume Duhamel1,2, and Olivier M. Girard1,2 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Siemens Healthcare SAS, Marseille, France |
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Keywords: Relaxometry, Modelling, Microstructure, Nervous System Common T1 mapping methods are dependent on the biophysical model assumptions. Previous work based on a qMT-SPGR framework demonstrated the influence of magnetization transfer effects and the importance of appropriate sequence design and signal modelling for T1 estimation. In this work, we expanded upon this optimized framework using an MP2RAGE sequence and demonstrated that quantitative T1 values in agreement with VFA-based experiments can be obtained in the human brain. |
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Reproducibility and sensitivity of in vivo human brain R1 map at ultralow field 64 mT |
| Joong Hee Kim1, Govind Nair1, Daniel Reich1, and David L. Brody1 | ||
1National Institute of Health, Bethesda, MD, United States |
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Keywords: Relaxometry, Low-Field MRI, Ultra low field MR parameter mapping provides objective biomarkers for living tissues. However, long scan times and high field MR imaging are typically required, whereas few ultralow field MR scanner studies have been performed. Here we propose a simplified R1 mapping protocol with only two inversion delay time points (R1approx), taking advantage of the fast R1 at ultralow field. The R1 characteristics of human brain were largely preserved in R1approx compared to standard inversion recovery R1 mapping. R1approx. required under 30 minutes vs. ~two hours for standard R1 mapping. In addition, R1approx. shows high reproducibility and good sensitivity to an R1 contrast agent. |
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Elevated Metabolic-functional Coupling in Epileptogenic Lesion and Network are Related with Surgical Outcomes of Mesial Temporal Lobe Epilepsy |
| Siyu Yuan1, Hui Huang1, Miao Zhang2, Wei Liu3, Jiwei Li1, Bingyang Cai1, Ya Cui1, and Jie Luo1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Keywords: fMRI, PET/MR It has been unclear whether metabolic-functional coupling could be disturbed in epileptogenic lesion and network by epileptic activities. In this study, we investigated metabolic changes, functional alterations and their couplings in epileptogenic lesion and network of mesial temporal lobe epilepsy (MTLE) using simultaneous PET/MR, and further evaluated the relationship between altered couplings and surgical outcome. MTLE patients showed abnormalities of standardized uptake value ratio (SUVR) and fractional amplitude of low-frequency fluctuation (fALFF) in default mode network (DMN). MTLE patients with hippocampal sclerosis (MR-HS) had higher SUVR-fALFF coupling in ipsilateral hippocampus and DMN, and the couplings were associated with surgical outcomes. |
| 1366 | Pitch: 13:45 Poster: 13:45 Screen 39
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The respective contribution of cell swelling and changes in hydrated water molecules to T2 changes due to changes in membrane potential |
| Seong-min Kim1, Kyeongseon Min2, Jung Seung Lee1,3, and Jang-Yeon Park1,3 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
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Keywords: Contrast Mechanisms, Challenges, cell scan, qMR, ADC, T2, PSR Our group recently reported a method for direct imaging of neuronal activity (DIANA), suggesting that its contrast mechanism is T2 changes due to changes in membrane potential during neuronal activation, which accompanies cell swelling and changes in hydrating water modlecules of the cell membrane. In this study, by measuring apparent-diffusion-coefficient (ADC) and pool-size-ratio (PSR) versus T2, respectively, we verified the respective contribution of cell swelling and changes in hydrating water modlecules to T2 changes when only osmotic pressure or membrane potential was altered in T-lymphocyte cells in vitro. |
| 1367 | Pitch: 13:45 Poster: 13:45 Screen 40
|
Suppressing blood signal in myocardial T1ρ mapping at 3T through novel dark-blood adiabatic spin-lock preparations. |
| Chiara Coletti1, Maša Bozic-Iven1,2, Joao Tourais1, Christal van de Steeg-Henzen3, Mehmet Akcakaya4, and Sebastian Weingärtner1 | ||
1TU Delft, Delft, Netherlands, 2Heidelberg University, Heidelberg, Germany, 3HollandPTC, Delft, Netherlands, 4University of Minnesota, Minneapolis, MN, United States |
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Keywords: Relaxometry, New Signal Preparation Schemes, T1ρ, Dark-blood, adiabatic T1ρ-mapping is emerging as a promising, contrast-free alternative to LGE for assessment of myocardial viability. However, high blood T1ρ values can obfuscate endocardial scar. In this work, we propose a dark-blood adiabatic T1ρ preparation to suppress the blood signal and improve depiction of the blood-myocardium interface. A slice-selection gradient is added to an odd number of adiabatic full passage pulses to achieve blood inversion outside the imaging slab. Phantom results show that DBT1ρ yields unbiased estimation of T1ρ time. In vivo, thorough blood suppression is achieved for the trade-off against a moderate increase in DBT1ρ variance. |
16:00
|
Overview of Vendor-Agnostic Pulse Sequence Programming Tools | |
| Jon-Fredrik Nielsen | ||
| University of Michigan | ||
16:12
|
Getting Started with Pulseq | |
| Maxim Zaitsev | ||
| University Medical Center Freiburg | ||
16:24
|
Vendor-Agnostic MRI Sequence Development with gammaSTAR | |
| Daniel Hoinkiss | ||
| Fraunhofer Institute for Digital Medicine MEVIS | ||
16:36
|
Vendor-Neutral Sequences (VENUS) & Comparable MRI | |
| Nikola Stikov | ||
| Polytechnique Montreal | ||
16:48
|
Vendor-Independent Harmonized gSlider for High-Isotropic-Resolution dMRI at Multiple Sites | |
| Qiang Liu | ||
| Massachusetts General Hospital | ||
17:00
|
Virtual Scanner: A Single Web Tool for MR Research & Education | |
| Gehua Tong | ||
| Columbia University | ||
17:12
|
PyPulseq: All You Need Is a Browser! | |
| Sravan Ravi | ||
| Columbia University | ||
17:24
|
gammaSTAR: Making the Complicated Simple: Universal Real-Time Interface for Complex MRI Applications | |
| Nora-Josefin Breutigam | ||
| Fraunhofer Institute for Digital Medicine MEVIS | ||
17:36
|
Open-Source MR Imaging & Reconstruction Workflow | |
| Marten Veldmann | ||
| German Center for Neurodegenerative Diseases (DZNE) | ||
17:48
|
Building MRI with Community in Mind: Data Standards & Reproducible Workflows | |
| Agâh Karakuzu | ||
| Polytechnique Montreal | ||
16:00
|
MR Artifacts Game Show | |
| Kevin Koch1 | ||
1Medical College of Wisconsin, United States |
16:30
|
MR Artifacts Game Show | |
| Rebecca Feldman1, Kevin Koch2, and Erika Raven3 | ||
1Medical Physics, The University of British Columbia, Kelowna, BC, Canada, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Radiology, NYU Langone, New York City, NY, United States |
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Keywords: Image acquisition: Artefacts Come participate in the ISMRM Artifact Game Show! Learn about common MR artifacts and how to avoid them in a light-hearted game show setting. Contestants will participate in a variety of games to learn about artifacts, and then experts will provide more information. If you’re in the room, you have the chance to play! Come for the artifacts, stay for the fun and prizes! |
17:00
|
MR Artifacts Game Show | |
| Rebecca Feldman1 | ||
1University of British Columbia, Canada |
| 1368 | 16:00
|
Attention-guided network for image registration of accelerated cardiac CINE |
| Aya Ghoul1, Kerstin Hammernik2,3, Patrick Krumm4, Sergios Gatidis1,5, and Thomas Küstner1 | ||
1Medical Image And Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2Lab for AI in Medicine, Technical University of Munich, Munich, Germany, 3Department of Computing, Imperial College London, London, United Kingdom, 4Department of Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 5Max Planck Institute for Intelligent Systems, Tuebingen, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Motion Correction, Image registration, Image Reconstruction Motion-resolved reconstruction methods permit for considerable acceleration for cardiac CINE acquisition. Solving for the non-rigid cardiac motion is computationally demanding, and even more challenging in highly accelerated acquisitions, due to the undersampling artifacts in image domain. Here, we introduce a novel deep learning-based image registration network, GMA-RAFT, for estimating cardiac motion from accelerated imaging. A transformer-based module enhances the iterative recurrent refinement of the estimated motion by introducing structural self-similarities into the decoded features. Experiments on Cartesian and radial trajectories demonstrate superior results compared to other deep learning and state-of-the-art baselines in terms of motion estimation and motion-compensated reconstruction. |
| 1369 | 16:08
|
A transfer learning approach to predict Axon Diameter and g-ratio distributions from MRI Data |
| Gustavo Chau Loo Kung*1,2, Emmanuelle M. M. Weber*2, Juliet Knowles3, Ankita Batra3, Lijun Ni3, and Jennifer McNab2 | ||
1Bioengineering Department, Stanford University, Stanford, CA, United States, 2Radiology Department, Stanford University, Stanford, CA, United States, 3Neurology Department, Stanford University, Stanford, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Microstructure, Histology, Diffusion Imaging, g-ratio, axon diameter To better establish the influence of histological features on the MRI signal, we present a multi-task neural network trained to predict parametrized microstructural distributions (axon diameters and g-ratios) from diffusion and magnetization transfer MRI data. To begin, we trained the model using histologically-derived synthetic MRI data before applying transfer learning by fine tuning on empirical data. Our initial results on both synthetic and empirical ex vivo mouse brain MRI data demonstrate the feasibility of this approach. |
| 1370 | 16:16
|
SRNR: Training neural networks for Super-Resolution MRI using Noisy high-resolution Reference data |
| Jiaxin Xiao1, Zihan Li2, Berkin Bilgic3,4, Jonathan R. Polimeni3,4, Susie Huang3,4, and Qiyuan Tian3,4 | ||
1Department of Electronic Engineering, Tsinghua University, Beijing, China, 2Department of Biomedical Engineering, Tsinghua University, Beijing, China, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 4Harvard Medical School, Boston, MA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Data Analysis Neural network (NN) based approaches for super-resolution MRI typically require high-SNR high-resolution reference data acquired in many subjects, which is time consuming and a barrier to feasible and accessible implementation. We propose to train NNs for Super-Resolution using Noisy Reference data (SRNR), leveraging the mechanism of the classic NN-based denoising method Noise2Noise. We systematically demonstrate that results from NNs trained using noisy and high-SNR references are similar for both simulated and empirical data. SRNR suggests a smaller number of repetitions of high-resolution reference data can be used to simplify the training data preparation for super-resolution MRI. |
| 1371 | 16:24
|
Motion-Aware Neural Networks Improve Rigid Motion Correction of Accelerated Segmented Multislice MRI |
| Nalini M. Singh1,2, Malte Hoffmann3,4, Elfar Adalsteinsson2,5,6, Bruce Fischl2,3,4, Polina Golland*1,5,6, Adrian V. Dalca*1,3,4, and Robert Frost*3,4 | ||
1Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT, Cambridge, MA, United States, 2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 3Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, MIT, Cambridge, MA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Motion Correction, Image Reconstruction, Deep Learning We demonstrate a deep learning approach for fast retrospective intraslice rigid motion correction in segmented multislice MRI. A hypernetwork uses auxiliary rigid motion parameter estimates to produce a reconstruction network based on the motion parameters that are specific to the input image. This strategy produces higher quality reconstructions than those produced by model-based techniques or by networks that do not use motion estimates. Further, this approach mitigates sensitivity to misestimation of the motion parameters. |
| 1372 | 16:32
|
Can we predict motion artifacts in clinical MRI before the scan completes? |
| Malte Hoffmann1,2, Nalini M Singh3,4, Adrian V Dalca1,2,3, Bruce Fischl1,2,3,4, and Robert Frost1,2 | ||
1Department of Radiology, Harvard Medical School, Boston, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Artifacts, deep learning, AI-guided radiology, neuroimaging, computer vision Subject motion remains the major source of artifacts in magnetic resonance imaging (MRI). Motion correction approaches have been successfully applied in research, but clinical MRI typically involves repeating corrupted acquisitions. To alleviate this inefficiency, we propose a deep-learning strategy for training networks that predict a quality rating from the first few shots of accelerated multi-shot multi-slice acquisitions, scans frequently used for neuroradiological screening. We demonstrate accurate prediction of the scan outcome from partial acquisitions, assuming no further motion. This technology has the potential to inform the operator's decision on aborting corrupted scans early instead of waiting until the acquisition completes. |
| 1373 | 16:40
|
A Deep Learning Method to Remove Motion Artifacts in Fetal MRI |
| Adam Lim1,2, Justin Lo1,2, Matthias Wagner3, Birgit Ertl-Wagner3,4, and Dafna Sussman1,2,5 | ||
1Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada, 2Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael’s Hospital, Toronto, ON, Canada, 3Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada, 4Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada, 5Department of Medical Imaging, University of Toronto, Toronto, ON, Canada |
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Keywords: Machine Learning/Artificial Intelligence, Artifacts, Deep Learning, Generative Adversarial Network, Image Denoising Motion artifacts are a common issue in fetal MR imaging that limit the visibility of essential fetal anatomy. In such cases, the sequence acquisition must be repeated in order for an accurate diagnosis. This study introduces a deep learning approach utilizing a Generative Adversarial Network (GAN) framework for removing motion artifacts in fetal MRIs. Results exceeded current state-of-the-art methods by achieving an average SSIM of 93.7%, and PSNR of 33.5dB. The presented network demonstrates rapid and accurate results that can be advantageous in clinical use. |
| 1374
|
16:48
|
Cardiac MR Denoising Inline Neural Network (CaDIN). |
| Siyeop Yoon1, Salah Assana1, Manuel A. Morales1, Julia Cirillo1, Patrick Pierce1, Beth Goddu1, Jennifer Rodriguez1, and Reza Nezafat1 | ||
1Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction The diagnostic confidence in the interpretation of cardiac MR scans can be improved by enhancing the signal-to-noise ratio (SNR). Traditional image denoising has been studied extensively to improve SNR in cardiac MRI, but with limited success due to the resulting blurring. In this study, we sought to develop and evaluate cardiac MR denoising inline neural network (CaDIN) for improving SNR in cardiac MRI. |
| 1375
|
16:56
|
Improved Bayesian Brain MR Image Segmentation by Incorporating Subspace-Based Spatial Prior into Deep Neural Networks |
| Yunpeng Zhang1, Huixiang Zhuang1, Ziyu Meng1, Ruihao Liu1,2, Wen Jin2,3, Wenli Li1, Zhi-Pei Liang2,3, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Machine Learning/Artificial Intelligence, Segmentation Accurate segmentation of brain tissues is important for brain imaging applications. Learning the high-dimensional spatial-intensity distributions of brain tissues is challenging for classical Bayesian classification and deep learning-based methods. This paper presents a new method that synergistically integrate a tissue spatial prior in the form of a mixture-of-eigenmodes with deep learning-based classification. Leveraging the spatial prior, a Bayesian classifier and a cluster of patch-based position-dependent neural networks were built to capture global and local spatial-intensity distributions, respectively. By combining the spatial prior, Bayesian classifier, and the proposed networks, our method significantly improved the segmentation performance compared with the state-of-the-art methods. |
| 1376 | 17:04
|
A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging |
| Zhuo Chen1, Juan Gao1, Xin Tang1, and Chenxi Hu1 | ||
1The Institute of Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University (SJTU), Shanghai, China |
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Keywords: Machine Learning/Artificial Intelligence, Artifacts, Banding artifacts, Flow artifacts bSSFP cine imaging suffers from banding and flow artifacts in the region of off-resonance. Suppressing one kind of artifacts may evoke the other kind. For example, phase cycling suppresses banding artifacts, yet its acquisition at multiple frequency offsets often evokes flow artifacts. Here, we develop a partially interpretable neural network for jointly suppressing banding and flow artifacts without phase cycling. Based on a single cine image, the method generates an artifact-corrected image and a voxel-identity map, which guides the artifact suppression and improves its interpretability. Preliminary investigation shows that the method reduces banding and flow artifacts without introducing new artifacts. |
| 1377 | 17:12
|
Non-rigid guided affine image registration in multi-contrast brain MRI using deep networks with stochastic depth |
| Srivathsa Pasumarthi Venkata1 and Ryan Chamberlain1 | ||
1Research & Development, Subtle Medical Inc, Menlo Park, CA, United States |
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Keywords: Machine Learning/Artificial Intelligence, Brain, Image Registration Deep learning based affine registration is a fast and computationally efficient alternative to conventional iterative methods. However, existing solutions are not sensitive to local misalignments. We propose a non-rigid guided affine registration network with stochastic depth which was designed with an affine branch and an optional non-rigid branch. The probability of dropping the non-rigid branch was gradually increased over training epochs. During inference, the non-rigid branch was fully removed, thus making it a pure affine network guided by non-rigid transformations. Model training and quantitative evaluation was performed using a pre-registered multi-contrast brain MRI public dataset. |
| 1378
|
17:20
|
Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis |
| Nataliia Molchanova1,2,3, Vatsal Raina3,4, Francesco La Rosa5, Andrey Malinin6, Henning Müller3, Mark Gales4, Cristina Granziera7, Mara Graziani3,8, and Merirxell Bach Cuadra1,9 | ||
1Radiology department, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2Doctoral School of the Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland, 3University of Applied Sciences of Western Switzerland, Sierre, Switzerland, 4University of Cambridge, Cambridge, United Kingdom, 5Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Shifts Project, Helsinki, Finland, 7University Hospital Basel, Basel, Switzerland, 8IBM Research Europe, Zurich, Switzerland, 9Center for Biomedical Imaging (CIBM), University of Lausanne, Lausanne, Switzerland |
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Keywords: Machine Learning/Artificial Intelligence, Multiple Sclerosis, Machine learning/Artificial intelligence, Brain, Uncertainty estimation, Reliable AI We approach the problem of quantifying the degree of reliability of supervised deep learning models used by clinicians for automatic multiple sclerosis lesion segmentation on MRI. In particular, we quantify the correspondence of various uncertainty measures to the errors that a deep learning model makes in overall segmentation or lesion detection. The evaluation is done both on in- and out-of- domain datasets (40 and 99 patients respectively), and provides insights about the measures that can point clinicians to potential errors of an automatic algorithm regardless of the distributional shift. |
| 1379 | 17:28
|
Predicting Gestational Age at Birth in the Context of Preterm Birth Using Comprehensive Fetal MRI Acquisitions |
| Diego Fajardo-Rojas1, Riine Heinsalu1, Megan Hall2, Mary Rutherford3, Joseph Hajnal4, Emma Robinson4, Lisa Story2, and Jana Hutter3 | ||
1School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Department of Women & Children's Health, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 3Department of Perinatal Imaging & Health, King's College London, London, United Kingdom, 4Department of Biomedical Engineering, King's College London, London, United Kingdom |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence The accurate prediction of preterm birth is a clinically crucial but challenging problem due to its complex aetiology. In this work, data from fetal anatomical and functional multi-organ MRI acquisitions are used to train Random Forests and Support Vector Machines to predict gestational age at delivery. These predictions are classified as 'term' or 'preterm'. The model with highest sensitivity, a Random Forest, achieved 0.85 sensitivity, 0.81 accuracy, 0.8 specificity, 1.99 weeks Mean Absolute Error, and 0.58 R2 score. This work proves the potential of Machine Learning models trained on anatomical and functional MRI data to predict gestational age at delivery. |
| 1380 | 17:36
|
Uncertainty maps for training a deep learning model that automatically delineates the skeleton from Whole-Body Diffusion Weighted Imaging |
| Antonio Candito1, Martina Torcè2, Richard Holbrey3, Alina Dragan1, Christina Messiou1, Nina Tunariu1, Dow-Mu Koh1, and Matthew D Blackledge1 | ||
1The Institute of Cancer Research, London, United Kingdom, 2Imperial College London, London, United Kingdom, 3Mint Medical, Heidelberg, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Segmentation Whole-Body Diffusion Weighted Imaging (WBDWI) requires automated tools that delineate malignant bone disease based on high b-value signal intensity, leading to state-of-the-art imaging biomarkers of response. As an initial step, we have developed an automated deep-learning pipeline that automatically delineates the skeleton from WBDWI. Our approach is trained on paired examples, where ground truth is defined through a set of weak labels (non-binary segmentations) derived from a computationally expensive atlas-based segmentation approach. The model showed on average a dice score, precision and recall between the manual and derived skeleton segmentations on test datasets of 0.74, 0.78, and 0.7, respectively. |
| 1381 | 17:44
|
Towards Integrating DL Reconstruction and Diagnosis: Meniscal Anomaly Detection Shows Similar Performance on Reconstructed and Baseline MRI |
| Natalia Konovalova1, Aniket Tolpadi1,2, Felix Liu1, Rupsa Bhattacharjee1, Felix Gassert1, Paula Giesler1, Johanna Luitjens1, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Joints, Machine Learning/Artificial Intelligence Meniscal lesions are a common knee pathology, but pathology detection from MRI is usually evaluated on full-length acquisitions. We trained UNet and KIKI I-Net reconstruction algorithms with several loss function configurations, showing k-space losses are not required to obtain robust reconstructions. We trained and evaluated Faster R-CNN to detect meniscal anomalies, showing similar performance on R=8 reconstructions and fully-sampled images, demonstrating its utility as an assessment tool for reconstruction performance and indicating reconstructed images are viable for downstream clinical postprocessing tasks. |
| 1382 | 17:52
|
Contrast-agnostic segmentation of the spinal cord using deep learning |
| Sandrine Bédard1, Adrian El Baz1, Uzay Macar1, and Julien Cohen-Adad1,2,3,4 | ||
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada, 2Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montréal, QC, Canada, 3Mila - Quebec AI Institute, Montréal, QC, Canada, 4Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montréal, QC, Canada |
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Keywords: Machine Learning/Artificial Intelligence, Segmentation Several methods to segment the spinal cord have emerged over the past decade. However, they are dependent on the image contrast, resulting in differences of spinal cord cross-sectional area (CSA), a relevant biomarker in neurodegenerative diseases. We propose a novel method using deep learning that produces the same segmentation regardless of the MRI contrast. Moreover, the segmentation is “soft” (non-binary) and can therefore encode partial volume information. CSA computed with this contrast-agnostic soft segmentation method has lower intra- and inter-subject variability, making it particularly relevant for multi-center studies. |
| 1383
|
16:00
|
Progressive cortical cerebrovascular reactivity reduction occurs in Parkinson's disease: a longitudinal study |
| Hongwei Li1, Jian Wang2,3, Jia Jia4, Xiali Shao2, He Wang1,5,6, and Lirong Jin4 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Department of Radiology, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, China, 4Department of Neurology, Zhongshan Hospital, Fudan Universit, Shanghai, China, 5Human Phenome Institute, Fudan University, Shanghai, China, 6Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China |
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Keywords: Parkinson's Disease, fMRI (resting state), cerebrovascular reactivity Increasing evidence showed subtle cerebrovascular reactivity (CVR) impairment in neurodegenerative disease. In the longitudinal study herein, we aimed to investigate regional CVR changes in the patients with Parkinson’s disease (PD) at baseline and 2 years follow up, and CVR was derived from resting state fmri scans. PD patients showed significantly reduced CVR in the left inferior occipital gyrus and right superior temporal cortex. In addition, the reduction of CVR may associate with executive function deficits. Our results also showed that there was a tendency for functional connectivity to be weakened from posterior to anterior with the progression of the disease. |
| 1384 | 16:08
|
Therapy of Parkinson’s Disease Related Motor and Cognitive Decline with Deep Brain Stimulation of Nucleus Accumbens |
| Ting-Chieh Chen1, Ssu-Ju Li1, Kai-Yun Chen2, Yu-Chun Lo2, Yi-Chen Lin1, Ching-Wen Chang1, Yao-Wen Liang1, Tsai-Yu Cho1, Mu-Hua Wang1, Sheng-Huang Lin3,4, and You-Yin Chen1,2 | ||
1Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2PhD Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, 3Department of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan, 4Department of Neurology, School of Medicine, Tzu Chi University, Hualien, Taiwan |
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Keywords: Parkinson's Disease, Parkinson's Disease The progression of Parkinson′s disease (PD) is associated with mitochondrial dysfunction, and deep brain stimulation (DBS) of the nucleus accumbens (NAc) was found to enhance mitochondrial function. Therefore, the presented study aimed to explore the therapeutic effects of NAc-DBS on PD. In this study, the NAc-DBS treatment, behavioral tests, brain magnetic resonance imaging analysis, and mitochondrial respiratory assay were conducted on the MitoPark PD mouse model. After NAc-DBS, the PD mouse model showed improvements in motor and cognitive functions with increased functional connectivity and promoted aerobic metabolism in the dopaminergic (DA) pathways. |
| 1385 | 16:16
|
Spatiotemporal Patterns of Iron Accumulation and Oxygen Metabolism in Patients with Parkinson's Disease |
| Su Yan1, Jun Lu1, Weiyin Vivian Liu2, and Wenzhen Zhu1 | ||
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Parkinson's Disease, Quantitative Susceptibility mapping The purpose of this study was to employ QSM and OEF maps to quantitatively measure iron content and oxygen metabolism levels in deep gray matter of the Parkinson’ s disease brains in different stages and explore their relationship with clinical features. Iron accumulation in SN, RN and GP significantly increased with the progression of PD severity. In contrast, OEF in CAU, PT, and DN elevated in early PD and then gradually decreased with worsening symptoms, indicating a different spatiotemporal pattern. These findings may facilitate to understand the neurobiological mechanisms in PD progression and offered complementary indicators for diagnosis and prediction. |
| 1386 | 16:24
|
Signal recovery around DBS leads using 2D MSI |
| Gehua Tong1, John Thomas Vaughan, Jr.1,2, and Sairam Geethanath2,3 | ||
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Columbia Magnetic Resonance Research Center, Columbia University, New York, NY, United States, 3Accessible MR Laboratory, BioMedical Engineering and Imaging Institute, Dept. of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mt. Sinai, New York, NY, United States |
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Keywords: Parkinson's Disease, Pulse Sequence Design 2D MSI was tested for recovering the closest layer of off-resonant signals near a DBS lead. The effects of slice thickness and RF profile were measured in an ASTM gel phantom with an in-plane DBS lead. Increasing the slice thickness from 1.5x to 2.5x the lead diameter reduced the apparent lead width by 8.35% and increasing the time-bandwidth product of the RF pulse by four times improved SSIM with a reference TSE image by 88.5%. A trade off between bin definition and echo times limited signal recovery at a given bin bandwidth (800 Hz / 9 bins). |
| 1387 | 16:32
|
Enzyme Delivery to the Putamen in Parkinson’s Disease Patients by MR-Guided Focused Ultrasound |
| Yuexi Huang1, Ying Meng2,3, Christopher B. Pople3, Allison Bethune3, Ryan M. Jones1, Agessandro Abrahao3,4, Clement Hamani2,3, Suneil K. Kalia5,6, Lorraine V. Kalia5,7, Nir Lipsman2,3, and Kullervo Hynynen1,8,9 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada, 4Department of Medicine, University of Toronto, Toronto, ON, Canada, 5Krembil Research Institute, University Health Network, Toronto, ON, Canada, 6Division of Neurosurgery, Toronto Western Hospital, Toronto, ON, Canada, 7Division of Neurology, Toronto Western Hospital, Toronto, ON, Canada, 8Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 9Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: Parkinson's Disease, Focused Ultrasound The phase I clinical trial demonstrated the successful application of microbubble-assisted MR-guided Focused Ultrasound for blood-brain barrier (BBB) opening in the putamen to facilitate biweekly therapeutic drug delivery in patients with Parkinson's disease. BBB permeability within the targeted putamen was elevated successfully in all treatments, as revealed by Gd-enhanced T1-weighted MRI immediately post treatment. No contrast enhancement was observed in the treated putamen on MR imaging scans acquired one day following each treatment session, indicating closure of the BBB. FDG-PET revealed a reduction of glucose metabolism of the treated putamen relative to the contralateral putamen in all patients. |
| 1388
|
16:40
|
Nigrostriatal iron accumulation in Parkinson's disease progression |
| Miguel López-Aguirre1,2,3, Noelia Esteban-García1,4, Tiziano Balzano1, María Ciorraga1, Javier Blesa1,3, José A. Obeso1,3,5, and José A. Pineda-Pardo1,3,5 | ||
1HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Spain, 2Universidad Complutense de Madrid, Madrid, Spain, 3Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain, 4Universidad Autónoma de Madrid, Madrid, Spain, 5Universidad San Pablo-CEU, Madrid, Spain |
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Keywords: Parkinson's Disease, Relaxometry, Iron Iron has an important role in Parkinson’s disease (PD) pathophysiology. However, it is still uncertain how iron accumulates within the nigrostriatal circuit along with PD progression. Here we assessed iron content from early to moderate PD stages using R2* relaxometry, and histologically using a macaque MPTP (1-metil-4-fenil6-tetrahidropiridina) model. Our analyses revealed that in both human PD and MPTP model, iron accumulates progressively within SNpc during early stages , reaching a plateau before moderate PD. Meanwhile, iron followed a V-shaped progression in the striatum. These results will contribute to improve our understanding of nigrostriatal vulnerability and the course of neurodegeneration in PD. |
| 1389
|
16:48
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Non-motor Correlates of Pedunculopontine Nucleus Projection Denervation in Parkinson’s Disease with Sleep Disturbances |
| Pohchoo Seow1, Yao-Chia Shih2, Septian Hartono3, Pik Hsien Chai4, Weiling Lee4, Celeste Yan Teng Chen 3, Eng King Tan3, and Ling Ling Chan1 | ||
1Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Graduate Institute of Medicine, Yuan-Ze University, Taoyuan City, Taiwan, 3Department of Neurology, National Neuroscience Institute, Singapore, Singapore, 4Radiography, Singapore General Hospital, Singapore, Singapore |
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Keywords: Parkinson's Disease, Diffusion/other diffusion imaging techniques The mechanism by which involvement of the cholinergic pathways underlies the non-motor manifestations of Parkinsonian disorders remains unclear. We mapped and investigated the pedunculopontine nucleus (PPN) projections that exhibit significant correlations with sleep disturbances in 80 Parkinson’s disease (PD) patients and 110 healthy controls (HC) using correlational tractography. Intracellular and extracellular diffusivity (RDI and NRDI metrics respectively) demonstrated significant correlations (r=0.06-0.14, FDR<0.05) with sleep abnormalities in the PPN projections of PD compared to HC. Our findings established non-motor markers of PPN system denervation with sleep disturbances to further understand the pathophysiology of non-motor symptoms in PD. |
| 1390 | 16:56
|
A 3D nigrosome atlas based on multi-modal histology and multi-parametric quantitative MRI |
| Malte Brammerloh1, Evgeniya Kirilina1,2, Anneke Alkemade3, Pierre-Louis Bazin1,3, Caroline Jantzen1, Sara Schaumberg1, Carsten Jäger1,4, Andreas Herrler5, Kerrin J. Pine1, Markus Morawski1,4, Birte Forstmann3, and Nikolaus Weiskopf1,6 | ||
1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 3Integrative Model-based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, Netherlands, 4Paul Flechsig Institute - Center of Neuropathology and Brain Research, Leipzig University, Leipzig, Germany, 5Department of Anatomy and Embryology, Maastricht University, Maastricht, Netherlands, 6Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany |
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Keywords: Parkinson's Disease, Multimodal, Atlas, Subcortex MRI holds great promise to unravel the selective vulnerability and functional differentiation of the nigrosomes in the human substantia nigra pars compacta. Based on block-face imaging and calbindin-D28K immunohistochemistry, we constructed a 3D nigrosome atlas. Using this atlas, we demonstrate several nigrosomes to show increased R2* values in post mortem tissue. Our results further challenge the common identification of the nigrosomes with hyperintense structures in in vivo MRI, particularly nigrosome 1 and the swallow tail sign. |
| 1391 | 17:04
|
Improved Visualization of the Medial Medullary Lamina with Phase Prior Reconstruction in Quantitative Susceptibility Mapping |
| Alexandra Grace Roberts1,2, Ilhami Kovanlikaya2, Brian Koppel3, Pascal Spincemaille2, Thanh Nguyen2, and Yi Wang1,2 | ||
1Electrical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States, 3Radiology, Mount Sinai Hospital, New York, NY, United States |
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Keywords: Parkinson's Disease, Brain Morphology Enabled Dipole Inversion (MEDI) is an iterative reconstruction algorithm for Quantitative Susceptibility Mapping (QSM) that is effective in suppressing artifacts by exploiting the magnitude image as a morphological prior. Use of a phase prior such as the local field to determine the $$$L_1$$$ regularization term results in improved visualization of the medial medullary lamina as measured by the contrast-to-noise ratio and was preferred by a radiologist over the magnitude prior in each case. |
| 1392 | 17:12
|
Multiparametric qMRI and dMRI gradients in the striatum are associated with Parkinson’s disease motor dysfunction |
| Elior Drori1, Lee Cohen1, Einat Kohn2, David Arkadir3, Gilad Yahalom2, and Aviv A Mezer1 | ||
1The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel, 2The Department of Neurology, Shaare Zedek Medical Center, Jerusalem, Israel, 3The Department of Neurology, Hadassah Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel |
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Keywords: Parkinson's Disease, Quantitative Imaging, striatum Parkinson’s disease (PD) is associated with degeneration in the striatum, a deep brain structure. It was recently shown with clinical MRI that in vivo gradients in the striatum of PD patients are related to the early-stage symptoms and pathology. However, the spatial variation in quantitative biophysical properties in PD is still unknown. Here, we collected multiparametric quantitative MRI of PD patients. We reveal distinct spatial profiles in the striatum that corroborate previous findings and show a relationship between putamen water fraction and motor behavior. Thus, our study provides new insights for the biological mechanisms associated with PD behavior. |
| 1393 | 17:20
|
Neuromelanin MRI using 2D GRE and deep learning: considerations for improving the visualization of substantia nigra and locus coeruleus |
| Samy Abo Seada1, Anke W. van der Eerden1, Agnita J.W. Boon2, and Juan Antonio Hernandez-Tamames1,3 | ||
1Radiology and nuclear medicine, Erasmus MC, Rotterdam, Netherlands, 2Department of Neurology, Erasmus MC, Rotterdam, Netherlands, 3Department of Imaging Physics, TU Delft, Delft, Netherlands |
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Keywords: Parkinson's Disease, Normal development An optimized clinically feasible neuromelanin MRI imaging protocol for visualising the SN and LC simultaneously using deep learning reconstruction is presented. For a 2D sequence we set out to optimize the flip-angle for optimal combined SN and LC depiction. We also experimented with combinations of anisotropic and isotropic in-plane resolution, partial vs full echoes and the number of averages. Phantom and in-vivo experiments on three healthy volunteers illustrate that high-resolution imaging combined with deep-learning denoising shows good depiction of the SN and LC with a clinically feasible sequence of 7 minutes. |
| 1394 | 17:28
|
Visualizing Neuromelanin in Parkinson’s disease in the presence of motion |
| Mikael Skorpil1, Henric Rydén2, Per Svenningsson2, and Adam van Niekerk2 | ||
1Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden, 2Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden |
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Keywords: Parkinson's Disease, Motion Correction Neuromelanin-MRI can detect reductions in volume and intensity of the substantia nigra in Parkinson’s disease (PD). High-resolution magnetization transfer (MT) contrast T1-weighted sequences are used, and the MT pulse is time-consuming. We evaluated the degree of motion during a long (~ 12 min) scan in a PD patient and a healthy volunteer, and the effect of motion correction using a wireless RF-triggered acquisition device (WRAD) developed in our group. Despite only minor motion, for both participants, motion correction improved image quality. |
| 1395 | 17:36
|
Robustness of Autoencoder-based Classifier for fMRI-based Optimization of Single-sided Deep Brain Stimulation |
| Afis Ajala1, Jianwei Qiu1, John Karigiannis1, Brendan Santyr2, Jurgen Germann2, Alexandre Boutet2, Luca Marinelli1, Chitresh Bhushan1, Radhika Madhavan1, Desmond Yeo1, and Andres Lozano2 | ||
1GE Global Research, Niskayuna, NY, United States, 2University Health Network and University of Toronto, Toronto, ON, Canada |
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Keywords: Parkinson's Disease, fMRI Successful treatment of Parkinson’s disease using deep brain stimulation (DBS) of the sub-thalamic nucleus (STN) requires an optimal set of DBS parameters that involves time-consuming programming sessions (~1 year) by the current standard-of-care optimization protocol. Functional magnetic resonance imaging (fMRI) and deep learning with autoencoder-based feature extraction from DBS-fMRI responses have provided a way to rapidly optimize the DBS parameters. In this work, we examine the robustness of the unsupervised autoencoder-based feature extraction method to changes in the activation patterns of the DBS-fMRI responses, which may be caused by patient motion, difference in stimulation side and disease condition. |
| 1396 | 17:44
|
Optimization of structural connectomes and scaled patterns of structural-functional decoupling in Parkinson’s disease |
| Song'an Shang1, Weiqiang Dou2, and Ye Jing1 | ||
1Clinical Medical College, Yangzhou University, Yangzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Parkinson's Disease, Neurodegeneration Parkinson’s disease (PD) is manifested with disrupted topology of structural connection network (SCN) and functional connection network (FCN). However, SCN and its interactions with FCN remain to be further investigated. This multimodality study attempted to precisely characterize the SCN using diffusion kurtosis imaging (DKI) and further identify the neuropathological pattern of SCN-FCN decoupling. Our study verified the optimization of SCN by applying DKI metrics and its implications for the clinical diagnosis of PD. Moreover, SCN-FCN decoupling is consequent from mismatched disruptions of the SCN and FCN, identifying pathophysiological neuroimaging features for disturbed neural circuits in PD. |
| 1397 | 17:52
|
Functional connectome allows individual prediction of gait function within Parkinson’s disease and is linked to molecular architecture |
| Haoting Wu1 and Minming Zhang1 | ||
1Radiology, Medical school of Zhejiang university, Hangzhou, China |
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Keywords: Parkinson's Disease, fMRI (resting state) The predictive connectome of PD gait overlapped with the dopaminergic and cholinergic systems. |
| 1398 | 16:00
|
UTILITY OF OXYGEN-ENHANCED LUNG MRI IN LONG TERM POST-LUNG TRANSPLANT PATIENT CARE |
| Milan Speth1,2, Till Frederik Kaireit1,2, Marcel Gutberlet1,2, Filip Klimeš1,2, Lea Behrendt1,2, Andreas Voskrebenzev1,2, Frank Wacker1,2, Tobias Welte2,3, Jens Gottlieb2,3, and Jens Vogel-Claussen1,2 | ||
1Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany |
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Keywords: Lung, Transplantation, Graft loss Aim of this prospective single-center surveillance study was to assess the ability of oxygen-enhanced MRI to predict future chronic lung allograft dysfunction (CLAD) related transplant loss. Baseline MRI scans were acquired 6-12 months and follow-up MRI 2.5 years after double lung transplantation. T1 mapping was carried out with patients breathing room air and 100% oxygen, Delta T1 maps were calculated. Median, quartile coefficient of dispersion and ventilated volume parameters were correlated with graft loss and compared with same day lung function testing. Oxygen-enhanced MRI predicted future CLAD-related transplant loss 6-12 months post transplantation and, when evaluating %change, at follow-up MRI. |
| 1399 | 16:08
|
Double-echo Oxygen Enhanced MRI at 1.5 T correlates with clinical lung function in CF patients |
| Marta Tibiletti1, Christopher Short2,3, Josephine H Naish1,4, Mary Abkir2,3, Thomas Semple2,3,5, Simon Padley2,3, Jane C. Davies2,6, and Geoff JM Parker1,7 | ||
1Bioxydyn Ltd, Manchester, United Kingdom, 2National Heart & Lung Institute, Imperial College London, London, United Kingdom, 3Royal Brompton Hospital, Guy's & St Thomas’ Trust, London, United Kingdom, 4MCMR, Manchester University NHS Foundation Trust, Wythenshawe, United Kingdom, 5Centre for Paediatric and Child Health, Imperial College London, London, United Kingdom, 6Royal Brompton Hospital, , Guy's & St Thomas’ Trust, London, United Kingdom, 7Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom |
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Keywords: Lung, Oxygenation This study presents the first results from a population with cystic fibrosis (CF) of a novel, easy-to-implement, multi-slice, free breathing OE-MRI acquisition method based on measuring R2* changes in the lung with varying level of oxygen delivered to the patients. The oxygen ventilated volume fraction obtained presents a very good correlation with lung clearance index (LCI) obtained by multiple breath N2 washout. LCI is a marker of overall lung ventilation inhomogeneity, which has been shown to be a sensitive marker of lung disease severity in CF, particularly in the early stage of the disease when spirometry outcomes are normal. |
| 1400 | 16:16
|
Impaired xenon gas transfer observed one year after hospitalisation due to COVID-19 in patients with signs of interstitial lung disease. |
| Laura Saunders1, Guilhem Collier1, Ho-Fung Chan1, Paul Hughes1, Laurie Smith1, Neil Stewart1, Jonathan Brooke2, James Watson3, James Meiring3, Zoë Gabriel3, Thomas Newman3, Megan Plowright3, Phillip Wade3, James Eaden3, Jody Bray1, Helen Marshall1, David Capener1, Leanne Armstrong1, Jennifer Rodgers1, Martin Brook1, Alberto Biancardi1, Madhwesha Rao1, Graham Norquay1, Oliver Rodgers1, Ryan Munroe1, James Ball1, Neil Stewart1, Gisli Jenkins4, James Grist5, Kher Lik Ng6, Ling-pei Ho5, Fergus Gleeson5, Ian Hall7, Thomas Meersmann7, Galina Pavlovskaya7, Arthur Harrison7, Jonathan Brooke7, Joseph Jacob8, Andrew Swift1, Smitha Rajaram3, Gary Mills1, Lisa Watson3, Paul Collini1, Rod Lawson3, A A Roger Thompson1, and Jim Wild1 | ||
1The University of Sheffield, Sheffield, United Kingdom, 2University of Nottingham, Nottingham, United Kingdom, 3Sheffield Teaching Hospitals, Sheffield, United Kingdom, 4Imperial College London, London, United Kingdom, 5University of Oxford, Oxford, United Kingdom, 6Oxford NHS Foundation Trust, Oxford, United Kingdom, 7Nottingham University, Nottingham, United Kingdom, 8University College London, London, United Kingdom |
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Keywords: Lung, COVID-19 Patients with signs of interstitial lung disease at 12 weeks after hospitalisation due to COVID-19 underwent 1H and 129Xe MRI. 129Xe MRI showed impaired xenon gas transfer (RBC:M and RBC:gas) at 24 and 52 weeks after hospital admission, with no longitudinal change between 24 and 52 weeks observed in 129Xe MRI metrics or PFT transfer factor. Xenon MRI metrics correlated significantly with PFT transfer factor at 24 weeks (RBC:M, RBC:gas, LmD) and 52 weeks (RBC:M, RBC:gas, LmD). |
| 1401 | 16:24
|
Retrospective analysis of Hyperpolarized 129Xe MRI Gas Exchange Images in Healthy and Post-COVID-19 Individuals acquired at Three Sites |
| Peter Niedbalski1, David Mummy2, Haoran Dai2, Aryil Bechtel3, Alexandra Schmidt4, Bradie Frizzell1, Sakib Kabir2, Jonathon Leipsic4,5, Janice Leung4,6, Bastiaan Driehuys2, Loretta Que7, Mario Castro1, Don Sin4,6, and Rachel Eddy4,6 | ||
1Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Radiology, Duke University, Durham, NC, United States, 3Department of Medical Physics, Duke University, Durham, NC, United States, 4Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC, Canada, 5Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 6Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada, 7Division of Pulmonary Medicine, Duke University, Durham, NC, United States |
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Keywords: Lung, COVID-19 Gas exchange hyperpolarized 129Xe MRI (Xe-MRI) is increasingly being considered as an outcome measure in multi-site clinical trials, but there is limited evidence of between-site comparability. In this study, we analyzed 121 gas exchange Xe-MRI images in healthy and post-acute COVID-19 participants independently acquired at three sites. In healthy volunteers, quantitative Xe-MRI measures are indistinguishable across sites. In post-acute COVID-19, cross-site differences in Xe-MRI measures are evident but appear to be driven by differences in patient population. Moreover, Xe-MRI measures across sites correlate strongly with pulmonary function testing. These results support the feasibility of multi-site trials using gas exchange Xe-MRI. |
| 1402 | 16:32
|
Improved 129Xe MRI of cardiopulmonary oscillations in patients with chronic thromboembolic pulmonary hypertension |
| Junlan Lu1, Elianna Bier2, Suphachart Leewiwatwong2, David Mummy3, Sakib Kabir3, Fawaz Alanezi4, Sudarshan Rajagopal4, Scott Haile Robertson5, Peter J Niedbalski6, and Bastiaan Driehuys3 | ||
1Medical Physics, Duke University, Durham, NC, United States, 2Biomedical Engineering, Duke University, Durham, NC, United States, 3Radiology, Duke University, Durham, NC, United States, 4Cardiology, Duke University, Durham, NC, United States, 5Clinical Imaging Physics Group, Duke University, Durham, NC, United States, 6Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, KS, United States |
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Keywords: Lung, Hyperpolarized MR (Gas), CTEPH, keyhole reconstruction Dynamic spectroscopy of hyperpolarized 129Xe in red blood cells exhibits cardiopulmonary oscillations that can be used to detect both pre- and post-capillary pulmonary hypertension (PH). However, this whole-lung measurement cannot resolve spatially heterogeneous variations in oscillations. This limitation can be addressed by using keyhole reconstruction approaches to spatially resolve the oscillations. Here we demonstrate several extensions of this technique that make both the reconstruction and analysis more robust. We have used this to establish updated healthy reference distributions and demonstrate the utility of spatially resolved mapping in a cohort of patients with chronic thromboembolic pulmonary hypertension pre- and post-thromboendarterectomy. |
| 1403
|
16:40
|
Iron Oxide Nanoparticle MR Lymphangiography (ION-MRL): A quantitative technique for assessing the peripheral and central lymphatic systems. |
| Robert Carson Sibley1, Shreyas Vasanawala1, and Andreas M Loening1 | ||
1Radiology, Stanford, Stanford, CA, United States |
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Keywords: Vessels, Quantitative Imaging, lymphangiography A lack of clinical quantitative lymphatic metrics slows progress for innovation in treatment of lymphatic disease. MR lymphangiography provides high resolution anatomic analysis of the lymphatic system necessary for guiding new and emerging therapeutics but has not been explored as a quantitative metric. We coupled MR lymphangiography with iron oxide nanoparticles as the contrast agent and demonstrate the time to visualization of the thoracic duct is decreased in patients with bilateral lymphedema. Additionally, the change in R2* of inguinal lymph nodes after transpedal contrast injection quantifies lymphatic transit in patients with lymphedema. |
| 1404 | 16:48
|
UTE-MRI with Single- and Dual-Echo Methods vs. CT: Differentiation Capability of Non- or Minimally Invasive Adenocarcinomas from Other Cancers |
| Yoshiharu Ohno1,2, Masao Yui3, Kaori Yamamoto3, Masato Ikedo3, Yuka Oshima4, Nayu Hamabuchi4, Satomu Hanamatsu4, Hiroyuki Nagata2, Takahiro Ueda1, Hirotaka Ikeda1, Daisuke Takenaka1,5, Takeshi Yoshikawa1,5, Akiyoshi Iwase6, Yoshiyuki Ozawa1, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Fujita Health University School of Medicine, Toyoake, Japan, 5Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 6Fujita Health University Hospital, Toyoake, Japan |
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Keywords: Lung, Cancer We hypothesized that pulmonary MRIs with UTE using single- or dual-echo techniques may be equal to or more useful than standard-dose thin-section CT for evaluating solid portion size and C/T ratio. The purpose of this study was thus to compare capabilities of pulmonary MRIs with UTE using single- and dual-echo techniques (UTE-MRISingle and UTE-MRIDual) and thin-section CT for quantitative differentiation of non- and minimally invasive adenocarcinomas from other lung cancers. |
| 1405 | 16:56
|
Nominal respiratory features in spontaneous breathing: Towards multiparametric atlases with 3D MR spirometry in healthy volunteers |
| Nathalie Barrau1, Adrien Duwat1, Killian Sambourg1, Angéline Nemeth1, Antoine Beurnier2, Tanguy Boucneau3, Vincent Lebon1, and Xavier Maître1 | ||
1Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France, 2Hôpital Bicêtre, APHP, Le Kremlin-Bicêtre, France, 3GE Healthcare, Buc, France |
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Keywords: Lung, Quantitative Imaging, Spirometry Three-dimensional MR spirometry fosters a double paradigm shift upon standard spirometry: from forced to free breathing and from global to local measurements. The technique makes use of voxel-wise flow-volume loops and original biomechanical markers to characterize the regional lung function. Over a diverse adult population, nominal common features showed up throughout 3D MR spirometry parametric maps in healthy volunteers spontaneously breathing in supine and prone positions. Euclidian barycenter and standard deviation maps of local tidal volumes, spontaneous expiratory peak flows, and anisotropic deformation indices are presented here as the ground for a unique atlas of the lung function. |
| 1406 | 17:04
|
Comparison of Capability for Therapeutic Outcome Prediction among CEST, DWI and PET/CT in Non-Small Cell Lung Cancer Conservative Therapy |
| Yoshiharu Ohno1,2, Masao Yui3, Kaori Yamamoto3, Takeshi Yoshikawa1,4, Daisuke Takenaka1,4, Masato Ikedo3, Akiyoshi Iwase5, Yuka Oshima6, Nayu Hamabuchi6, Satomu Hanamatsu6, Hiroyuki Nagata2, Takahiro Ueda1, Hirotaka Ikeda1, Yoshiyuki Ozawa1, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 5Fujita Health University Hospital, Toyoake, Japan, 6Fujita Health University School of Medicine, Toyoake, Japan |
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Keywords: Lung, Cancer, CEST We hypothesize that CEST imaging has a potential for therapeutic outcome prediction in NSCLC patients treated with chemoradiotherapy and may play as one of the predictors in this setting. The purpose of this study was to compare the capability for therapeutic outcome prediction among CEST imaging, DWI and FDG-PET/CT in NSCLC patients with conservative therapy. |
| 1407 | 17:12
|
Respiratory Motion-Resolved 4D Pulmonary Imaging with Stack-of-Spiral UTE at 0.55T and 3T |
| Pan Su1, Waqas Majeed1, Xin Miao1, Josef Pfeuffer2, Ahsan Javed3, Rajiv Ramasawmy3, Adrienne E. Campbell-Washburn3, Himanshu Bhat1, Gregor Thoermer2, Jianing Pang1, and Thomas Benkert2 | ||
1Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Keywords: Lung, Low-Field MRI Recently, ultrashort echo time (UTE) has gained renewed interest for lung imaging at 1.5T and 3T, which captures short T2* signal from lung parenchyma. Lower field is attractive for lung MRI due to prolonged T2* and reduced susceptibility, and it was demonstrated that high-resolution high-quality structural lung imaging can be achieved with UTE at 0.55T. In addition to anatomical information, pulmonary function such as regional ventilation is also of great clinical interest. In this study, we developed free-breathing respiratory-motion-resolved 4D pulmonary imaging using stack-of-spirals acquisition with compressed-sensing at both 0.55T and 3T, which could enable quantitative evaluation of ventilation dynamics. |
| 1408 | 17:20
|
Submillimeter morphologic lung MRI at 0.55T using balanced steady-state free precession with half-radial dual-echo readout (bSTAR) |
| Grzegorz Bauman1,2, Nam G Lee3, Ye Tian4, Oliver Bieri1,2, and Krishna S Nayak3,4 | ||
1Deparment of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 4Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Lung, Low-Field MRI, Morphology In this work we explore the potential of free-breathing balanced steady-state free precession half-radial dual-echo imaging technique (bSTAR) for morphologic lung MRI in human subjects using high-performance 0.55T MR-scanner. The technique combines an efficient minimal-TR readout sampling with interleaved wobbling Archimedean spiral pole trajectories and retrospective respiratory self-gating. Lung imaging at 0.55T helped to markedly reduce off-resonance artifacts while providing an improved signal intensity and allowed for high-quality morphologic lung MRI at a submillimeter spatial resolution.
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| 1409 | 17:28
|
Rapid 3D lung imaging with bSSFP stack of spiral out-in (SoSoi) sampling at 0.55T |
| Ye Tian1, Nam G. Lee2, Ziwei Zhao1, and Krishna Nayak1,2 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Lung, Lung MRI provides radiation-free screening of many lung diseases. Its use has been limited at field strengths >1.5T, largely due to the ultra-shot T2* and low proton density in the lung. New 0.55T systems provide improved lung MRI capability since T2* is prolonged to the order of 10ms. In this work, we propose a rapid 3D bSSFP stack-of-spiral out-in (SoSoi) pulse sequence for lung imaging. The sequence can acquire 2 mm isotropic resolution image with 23 sec breathhold or 2.4 mm isotropic resolution image with 13 sec breathhold, both show great pulmonary vessels depiction. |
| 1410 | 17:36
|
Direct abdominal vein thrombus imaging (DATI): a contrast free black-blood MR technique for the diagnosis of abdominal vein thrombosis |
| Liping Liao1, Zehe Huang1, Zeping Liu2, Shengyuan Liang1, Lei Qin1, Shengzhang Pan1, Lanbin Huang1, Qizeng Ruan1, Yi Sun3, and Guoxi Xie2 | ||
1The First People’s Hospital of Qinzhou, Qinzhou, China, 2School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 3Siemens Healthineers, Shanghai, China |
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Keywords: Vessels, Thrombo-Embolic Abdominal vein thrombosis (AVT) is a significant cause of morbidity. Accurate diagnosis of AVT is relevant for treatment proper decision-making. CTV or MRV requires the use of contrast medium, which may lead to patient's renal failure or allergic reaction. To address this issue, we sought to develop a direct AVT imaging (DATI) technique which is free of contrast medium. The technique is based on a respiratory navigating SPACE sequence with DANTE black-blood preparation and evaluated preliminarily on 19 AVT patients at 3.0T. Experiment results show that DATI can provide definitive thrombus detection for the diagnosis of AVT. |
| 1411 | 17:44
|
Phantom validation of continuous radial sampling MRI for robotic interventional cardiovascular surgery |
| Sijie Zhong1,2, Ran Tao1, Ruoxi Wang1,2, Hao Chen1,2, Chen Jin1,2, and Zhiyong Zhang1,2 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Vessels, Cardiovascular, Run-time MRI, Navigation, Interventional MRI Cardiovascular dilation surgery is usually performed with DSA navigation, and excessive radiation during imaging harms both the patient and the physician. Magnetic resonance imaging can avoid ionizing radiation, but its imaging efficiency severely limits the performance of real-time imaging. Therefore, we construct a complete real-time magnetic resonance navigation system through continuous radial scanning mode and corresponding reconstruction methods and formulate a group of scanning strategies. The characteristics of the special derivative catheter under magnetic resonance imaging were tested by combining the partner's magnetically compatible robotic equipment. And the results demonstrated the feasibility of this method. |
| 1412 | 16:00
|
Double-Row 16-element Folded-End Dipole Transceiver Array for Human Whole Brain Imaging at 9.4 T. |
| Nikolai I Avdievich1, Anton V Nikulin1,2, Dario Bosch1,2, Georgiy Solomakha1, and Klaus Scheffler1,2 | ||
1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany |
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Keywords: High-Field MRI, RF Arrays & Systems, Dipole antenna Homogeneity and coverage of transmit (Tx) RF coils at ultra-high field (UHF,>7 T) can be improved by 3D RF shimming. This, however, requires using multi-row Tx-arrays. Dipole antennas provide unique simplicity and robustness while offering comparable Tx-efficiency and SNR to conventional loop designs. Single-row UHF dipole Tx-arrays for human head imaging have been previously described. Recently, we developed a novel type of dipole elements, a folded-end dipole, which improved the longitudinal coverage and specific absorption rate (SAR) efficiency. In this work, we developed, constructed, and evaluated a 16-element double-row transceiver folded-end dipole array for human whole-brain imaging at 9.4 T. |
| 1413 | 16:08
|
Substantially Improved Receive Sensitivity of Human Whole-Brain MRI at 7T using a High-Permittivity Material (HPM) Slurry-Filled Helmet |
| Soo Han Soon1,2, Matt Waks1, Hannes M. Wiesner1, Xiao-Hong Zhu1, Michael T. Lanagan3, Qing X. Yang4, and Wei Chen1,2 | ||
1Center of Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 3Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, United States, 4Center for NMR Research, Department of Neurosurgery and Radiology, College of Medicine, Pennsylvania State University, Hershey, PA, United States |
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Keywords: High-Field MRI, New Devices, High Permittivity Material (HPM), High Dielectric Constant (HDC) Material Novel methods such as high-permittivity materials (HPM) and metasurfaces have improved RF coil transmission efficiency and receive field (B1-) sensitivity for MRI applications at ultrahigh field. One of the recent studies, which applied ceramic HPM helmet with the permittivity of 100, showed significant improvement in signal-to-noise ratio (SNR). Motivated from the previous studies with various forms of HPM at 3T and 7T, this study introduces an easy and accessible method with an HPM slurry helmet to largely improve imaging quality of human brain MRI at 7T, which could improve B1- field by 57% and SNR by 47%. |
| 1414 | 16:16
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Simultaneous Head and Cervical Spinal Cord Imaging at 7T with a 16-channel transceiver loop array |
| Bei Zhang1, Daniel Lowrance1, and Anke Henning1 | ||
1Advanced Imaging Research Center, UTSouthwestern Medical Center, Dallas, TX, United States |
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Keywords: High-Field MRI, Head & Neck/ENT In this work, we represented 7T simultaneous brain and cervical spinal cord images with diagnostic quality. The images were acquired with a 16-channel transceiver array in a 7T 8-channel parallel transmit system which has RF shimming capability, Specifically, we acquired MP2RAGE and FLAIR images of the head and T2-weighted and GRE images of the cervical spinal cord with parameter settings in sequences for clinical applications in our center. These images show high-resolution anatomical structures and nice contrast of white and gray matters. Moreover, all these images were acquired without changing the table position or repositioning the volunteers during the scan. |
| 1415 | 16:24
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Highly decoupled 8x2 transceiver array for human brain at 7T (Rx performance evaluation) |
| Junghwan Kim1,2, Changyu Sun1,3, Chan-Hong Moon4, Hoby Hetherington1,5, and Jullie Pan1 | ||
1Radiology, University of Missouri, Columbia, MO, United States, 2EECS, University of Missouri, Columbia, MO, United States, 3BBCE, University of Missouri, Columbia, MO, United States, 4Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 5Resonance Research Inc., Billerica, MA, United States |
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Keywords: High-Field MRI, RF Arrays & Systems, Rx array While the Tx performance of the 8x2 transceiver has been shown to achieve excellent amplitude and homogeneity, with its limited coil numbers (16), it is thought to give substantially lower SNR and acceleration in comparison to conventional arrays (8Tx/32Rx). It is recognized however, that the Tx decoupling is also constructive for Rx since the SNR and g-factors benefit from the decreased noise correlation. We evaluated the SNR, g factors, and noise covariance and found that up to an in-plane acceleration value of approximately <=4, the transceiver gives comparable performance to a commercial reference coil. |
| 1416 | 16:32
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Improvement of Brain MRS at 7T Using a Wireless RF Array |
| Akbar Alipour1, Gaurav Verma1, Andrew Frankini1, Bradley N Delman1, and Priti Balchandani1 | ||
1Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: High-Field MRI, Spectroscopy Magnetic resonance spectroscopy (MRS) can particularly benefit from substantial enhancement in SNR and spectral resolution at ultra-high field (UHF ≥7T), enabling improved quantification of metabolites. However, at 7T wavelength effects cause a highly inhomogeneous transmit magnetic field in the human brain, with lower transmit efficiency in the posterior-fossa manifesting as signal dropout in this region. Recently, we reported advantages of a surface-applied inductively-coupled radiofrequency array to improve transmit efficiency and signal sensitivity at 7T MRI focusing on cerebellum and inferior temporal lobes. Here we demonstrate the feasibility and effectiveness of in-vivo MRS using the array in human cerebellum at 7T. |
| 1417 | 16:40
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Optimized T1 and T2 Weighted Structural Imaging on Clinical 7 Tesla Systems Employing Single Channel GRAPE Universal Pulses |
| Eberhard Daniel Pracht1, Daniel Löwen1, Laurent Lamalle2, Franck Mauconduit3, Vincent Gras3, Nicolas Boulant3, and Tony Stöcker1,4 | ||
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2GIGA-CRC in Vivo Imaging, University of Liège, Liège, Belgium, 3Université Paris-Saclay, Commissariat à l’Energie Atomique, CNRS, NeuroSpin, BAOBAB, Paris-Saclay, France, 4Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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Keywords: High-Field MRI, Brain We present single channel universal GRAPE pulses for optimized T1 and T2 weighted (fluid suppressed) imaging on clinical ultra-high field systems. B0 and B1 inhomogeneities are effectively mitigated while no pulse calculations are necessary during the imaging session. Compared to a parallel transmission set-up SAR estimation is less complex, and with more established history of safe use, it makes this approach a promising tool for clinical applications such as lesion detection. |
| 1418 | 16:48
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Radial Stack-of-Stars Abdominal MRI at 7 Tesla |
| I T Maatman1, S Ypma1, K T Block2, M C Maas1, J Schulz1, and T W J Scheenen1 | ||
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 2Department of Radiology, NYU Langone Health, New York, NY, United States |
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Keywords: High-Field MRI, Body, Radial MRI Abdominal MRI at 7T is sensitive to transmit field inhomogeneities and motion-induced artifacts. Transmit inhomogeneities have previously been addressed using time-interleaved acquistion of modes (TIAMO), providing uniform flip angles across a large field-of-view in the body. Meanwhile, the radial stack-of-stars sequence has been shown to be well-suited for motion-corrected MRI. In this work, TIAMO and motion-corrected radial MRI were combined to create abdominal images of three volunteers at high spatial resolutions. Results showed homogeneous transmit fields in all volunteers with excellent image quality at very high resolution. However, low-resolution scans suffered from artifacts due to gradient non-linearities and residual motion. |
| 1419 | 16:56
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In-vivo 3D liver imaging at 7T using kT-point pTx pulses and a 32-Tx-channel whole-body RF antenna array |
| Johannes Anton Grimm1,2, Christoph Stefan Aigner3, Sebastian Dietrich3, Stephan Orzada1, Thomas M. Fiedler1, Armin M. Nagel1,4, Mark E. Ladd1,2,5, and Sebastian Schmitter1,3,6 | ||
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 4Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen-Nürnberg, Germany, 5Faculty of Medicine, Heidelberg University, Heidelberg, Germany, 6Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Keywords: High-Field MRI, Liver Using a 32-Tx-channel whole-body RF antenna array at 7T could benefit exciting large body parts as these regions often suffer from flip angle inhomogeneity or dropouts. This study compares static pTx and 3D pTx pulses with a varying number of kT-points to the CP+ mode and non-optimized shim. With static pTx, the flip angle dropouts are reduced, and 2-3 kT-points seemed to deliver the best tradeoff between flip angle homogeneity and RF power. |
| 1420 | 17:04
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MRF-based channel-wise absolute B1+ mapping at low RF power in the human abdomen at 7T |
| Max Lutz1, Christoph Stefan Aigner1, Sebastian Flassbeck2,3, Felix Krüger1, Constance G. F. Gatefait1, Tobias Schaeffter1,4,5, and Sebastian Schmitter1,6,7 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, 2Dept. of Radiology, Center for Biomedical Imaging, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research, New York, NY, United States, 4School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Department of Biomedical Engineering, Technical University of Berlin, Berlin, Germany, 6Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 7Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Keywords: High-Field MRI, High-Field MRI For pTx applications, knowledge of the underlying Tx channel-wise B1+ profile is essential. In this work, we present a hybrid absolute B1+-mapping approach where MRF-based B1+-mapping is utilized to map the channel-wise absolute B1+ profile, providing higher accuracy at low flip angles than standard methods. The hybrid approach is compared to mapping each Tx channel separately using the MRF-based method. Phantom and body in-vivo measurements at 7T show good agreement between the two approaches. |
| 1421 | 17:12
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Rapid mesoscale 3D whole-brain MRF in the Next-Generation 7T brain scanner: challenges and advantages |
| Xiaozhi Cao1,2, Congyu Liao1,2, Alexander Beckett3,4, An Vu5,6, Samantha Ma7, Sophie Schauman1,2, Siddharth Srinivasan Iyer1,8, Mahmut Yurt1,2, Elizabeth Tong1, Adam Kerr2, David A Feinberg3,4, and Kawin Setsompop1,2 | ||
1Department of Radiology, Stanford university, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford university, Stanford, CA, United States, 3Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 4Advanced MRI Technologies, Sebastopol, CA, United States, 5Department of Radiology, University of California, San Francisco, CA, United States, 6San Francisco Veteran Affairs Health Care System, San Francisco, CA, United States, 7Siemens Medical Solutions USA Inc., Berkeley, CA, United States, 8Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States |
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Keywords: MR Fingerprinting/Synthetic MR, Brain 3D MRF with spiral projection trajectory was implemented on the 7T NexGen scanner to take advantage of its SNR benefit and state-of-the-art gradient system. To achieve high-fidelity and high-efficiency multi-parameter mapping at the mesoscale, novel techniques were developed to overcome several technical challenges in performing this acquisition, including spiral residual gradient compensation, trajectory measurement, water-only excitation RF pulse, B0 correction, B1+ correction and frequency response correction. The proposed technical developments enabled high-quality whole-brain T1, T2, and proton density mapping at 1-mm isotropic resolution in 1 minute, and 560mm isotropic resolution in 4-minutes scan time. |
| 1422 | 17:20
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Single-shot 2D spiral and echo planar imaging at 7 and 10.5 Tesla with field monitoring and correction |
| Xiaoping Wu1, Alexander Bratch1,2, Jerahmie Radder1, Andrea Grant3, Edward Auerbach1, Pierre‐Francois Van de Moortele1, Gregor Adriany1, and Kamil Ugurbil1 | ||
1CMRR, Radiology, University of Minnesota, Minneapolis, MN, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3University of Minnesota, Minneapolis, MN, United States |
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Keywords: High-Field MRI, Data Acquisition, Brain imaging Interest in pursuing MRI at ultra-high field (UHF) is increasing owing to increased SNR. However, MRI at UHF presents acquisition challenges due to decreased T2* and worsened field inhomogeneities. Rapid sampling strategies such as spiral and echo planar (EPI) acquisitions have been proposed to help mitigate these challenges. Incorporation of field monitoring to UHF applications has been demonstrated to improve the reconstruction of these images thanks to direct measurement and correction of spatiotemporal phase accrual. Here we demonstrate field-monitoring-enabled spiral and EPI acquisitions using Pulseq and field cameras. |
| 1423 | 17:28
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Whole-brain 3D B1+ mapping in under 30 seconds: compressed-sensing accelerated SA2RAGE |
| Gabriele Bonanno1,2,3, Tom Hilbert4,5,6, Patrick Liebig7, José P. Marques8, and Tobias Kober4,5,6 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, 2Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 3Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 5Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 7Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 8Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, Netherlands |
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Keywords: High-Field MRI, RF Pulse Design & Fields, B1+ mapping To fully exploit the strengths of UHF imaging, accurate B1+ mapping is essential, ideally in 3D with sufficient coverage and high dynamic range. However, resulting scan times on the order of minutes are problematic, especially with the prospect of increased clinical use of 7T imaging. We implemented a compressed sensing readout and reconstruction for the SA2RAGE technique yielding <30 s scan time for a whole-brain, 4-mm isotropic resolution B1+ map. We tested different acceleration factors, validated against the GRAPPA-accelerated reference protocol of ~2 min and found <0.05 relative B1+ difference in most regions of the brain. |
| 1424 | 17:36
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First QSM of an ex vivo human brain on the Iseult 11.7T whole-body system using parallel transmission and virtual coil reconstruction |
| Mathieu David Santin1,2, Isabelle Plu3, Vincent Gras4, Michel Luong4, Edouard Chazel4, Franck Mauconduit4, Alexis Amadon4, Alexandre Vignaud4, Cecile Lerman4, and Nicolas Boulant4 | ||
1Institut du Cerveau – Paris Brain Institute – ICM, INSERM, CNRS, Sorbonne Université, Paris, France, 2CENIR - Centre for NeuroImaging Research, Sorbonne University, Paris, France, 3Hôpital Pitié-Salpêtrière, AP-HP, Paris, France, 4CEA, CNRS, BAOBAB, NeuroSpin, University of Paris-Saclay, Gif-sur-Yvette, France |
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Keywords: High-Field MRI, Quantitative Susceptibility mapping This work presents the first QSM images obtained on the 11.7T whole body Iseult system, using tailored parallel transmission kT-point pulses and a virtual coil approach for coil combination, on a post mortem brain. |
| 1425 | 17:44
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Development of a double tuned 2H/31P whole-body birdcage transmit coil for 2H and 31P MR applications from head to toe at 7T |
| Ayhan Gursan1, Mark Gosselink1, Dimitri Welting1, Martijn Froeling1, Hans Hoogduin1, Evita Wiegers1, Dennis W.J. Klomp1, and Jeanine J. Prompers1 | ||
1Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Whole Body, Metabolism, Deuterium, Phosphorus Deuterium (2H) and phosphorus (31P) MRS are complementary methods for evaluating tissue metabolism non-invasively in vivo. Combined 2H and 31P MRS would therefore be of interest for various applications. In this work, we developed a double tuned 2H/31P whole-body birdcage transmit coil for 7T, for 2H and 31P MRS with homogeneous excitation over a large field-of-view. The B1+ variation of the whole-body birdcage coil over a body-sized phantom was 14% for 2H and 25% for 31P. Using a two-channel 2H/31P prototype receive array, we obtained high-quality 2H and 31P 3D MRSI data in the brain, liver, and lower-leg muscles. |
| 1426 | 17:52
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An Optimized RF Coil for Sensitive 31P Magnetic Resonance Spectroscopic Imaging of the Human Brain and Cerebellum at 7T. |
| Johnny Chris Der Hovagimian1,2, Pedram Yazdanbakhsh2,3, Marcus Couch2,3,4, and David A. Rudko1,2,3 | ||
1Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 2McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 3Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 4Siemens Healthcare Limited, Montreal, QC, Canada |
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Keywords: High-Field MRI, RF Arrays & Systems An optimized RF coil was constructed for 7T, Phosphorus (31P) Magnetic Resonance Spectroscopic Imaging (MRSI) of the whole brain including the cerebellum. The cerebellum is a region not well covered by most existing 31P coils. The design consisted of an optimized 16-rung high-pass birdcage transmit coil and a 24-channel phased array receive coil affixed to a custom head-shaped former. The coil provided high sensitivity to 31P signals across the whole brain and brainstem. In vivo 31P 3D CSI experiments showed high quality spectra with regional PCr SNR values near the cerebellum comparable to values near the brain centre. |
16:00
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Non-Ischemic Cardiomyopathy: Predicting Prognosis with CMR | |
| Jeremy Douglas Collins1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States |
16:20
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Magnetic Resonance-Based Characterization of Myocardial Architecture | |
| Stefan Zimmerman1 | ||
1Johns Hopkins Medicine, Baltimore, MD, United States |
| 1427 | 16:40
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Regional quantification of cardiac metabolism with hyperpolarized [1-13C]-pyruvate MRI |
| Peder Eric Zufall Larson1, Shuyu Tang2, Xiaoxi Liu1, Avantika Sinha1, Nicholas Dwork3, Sanjay Sivalokanathan4, Jing Liu1, Robert Bok1, Karen G Ordovas5, James Slater1, Jeremy W Gordon1, and M. Roselle Abraham1 | ||
1Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, United States, 2HeartVista, Palo Alto, CA, United States, 3University of Colorado Anschutz, Aurora, CO, United States, 4University of Pennsylvania, Philadelphia, PA, United States, 5University of Washington, Seattle, WA, United States |
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Keywords: Myocardium, Metabolism Hyperpolarized (HP) 13C-pyruvate MRI is a promising new tool for non-invasive quantification of myocardial glycolytic and Krebs cycle metabolism. In this study we evaluated whole-heart imaging and metabolism quantification methods in 7 healthy volunteers under a fasted and fed state. We observed that the 13C-pyruvate-to-bicarbonate conversion rate, kPB, a measure of PDH flux, had the highest, statistically significant correlation with blood glucose levels, with smaller changes in the 13C-lactate/pyruvate ratio and 13C-pyruvate-to-lactate conversion rate, kPL. 13C-pyruvate and 13C-lactate were detected simultaneously in the RV blood pool, immediately after intravenous injection, reflecting LDH activity in blood. |
| 1428
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16:48
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Diabetic Treatment and Oral Ketone Supplement effect on Cardiac Function and Metabolism in Heart Failure Model by Cardiac and hyperpolarized MRSI |
| David O. Guarin Bedoya1,2, Salva Yurista1,3,4, Jonah P Weigan Witthier1, Shi Chen1,3,4, Robert Eder1,3,4, William Jiang1,3,4, Feiyang Liu 1,3,4, Atsushi M. Takahashi5, Christopher Nguyen1,3,4, and Yi-Fen Yen1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging,Radiology Department, Massachusetts General Hospital, Charlestown, MA, United States, 2Polarize ApS, Frederiksberg, Denmark, 3Corrigan Minehan Heart Center, Division of Cardiology, Massachusetts. General Hospital, Harvard Medical School, Boston, MA, United States, 4Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, 5Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Cardiomyopathy, Hyperpolarized MR (Non-Gas), Heart Failure, Contrast Agent, Contrast Mechanisms, Metabolism Using hyperpolarized [1-13C]pyruvate MR spectroscopy imaging and cine MRI, we show that targeting cardiometabolic dysregulation with metabolic treatment, such as ketone ester supplementation and/or sodium–glucose cotransporter 2 inhibitor, was effective in improving cardiac function and ameliorating cardiac remodeling in a preclinical model of HFpEF. These results provide a rationale for the assessment of metabolic interventions for patients with HFpEF. |
| 1429 | 16:56
|
3D whole-heart joint T1/T1ρ/T2 mapping and water-fat imaging for contrast-agent free myocardial tissue characterization at 1.5T |
| Michael G Crabb1, Karl P Kunze1,2, Camila Munoz1, Donovan Tripp1, Anastasia Fotaki1, Carlos Velasco1, Radhouene Neji1,2, Claudia Prieto1,3, and Rene M Botnar1,3,4 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4School of Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile |
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Keywords: Myocardium, Tissue Characterization Native T1 and T1ρ mapping has shown promising results for the detection of focal and diffuse myocardial fibrosis without the need of contrast agents, whereas T2 mapping enables characterisation of inflammation and edema. However, conventional myocardial maps are acquired in sequential 2D breath-hold scans with limited heart coverage. Here, we propose a novel free-breathing, 3D joint T1/T1ρ/T2 mapping sequence with Dixon encoding to provide whole-heart T1, T1ρ and T2 maps and co-registered water/fat volumes with isotropic spatial resolution for comprehensive contrast-agent free myocardial tissue characterization. Preliminary results demonstrate good agreement with reference values in phantoms and promising results in-vivo. |
| 1430 | 17:04
|
Accuracy, Precision, and Reproducibility of 3D Whole Heart Simultaneous T1 and T2 Mapping Based on Multi-parametric SAVA: A Comparison Study |
| Dongyue Si1, Rui Guo2, Daniel A. Herzka3, and Haiyan Ding1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2School of Medical Technology, Beijing Institute of Technology, Beijing, China, 3Department of Radiology, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Myocardium, Tissue Characterization MR parametric mapping including T1 and T2 enabled quantitative evaluation of changes of myocardium. We previously proposed a time-efficient technique for 3D free-breathing simultaneous T1 and T2 mapping based on multi-parametric SAturation recovery and Variable flip Angle (mSAVA). This study evaluated the accuracy, precision, and reproducibility of mSAVA in comparison with conventional 2D sequences. mSAVA achieved good accuracy, between that of MOLLI and SASHA, and better precision and reproducibility than SASHA for T1 measurements. T2 measured by mSAVA had better precision and reproducibility than both GraSE and bSSFP T2. mSAVA offers a promising option for myocardial tissue characterization. |
| 1431 | 17:12
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Myofiber strain estimation using cDTI, DENSE, and feature tracking. |
| Kevin Moulin1,2, Luigi E. Perotti3, Magalie Viallon1,2, and Pierre Croisille1,2 | ||
1University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Saint-Etienne, France, 2Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France, 3Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States |
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Keywords: Myocardium, Cardiovascular, Cardiac Function, cDTI, DENSE, Feature Tracking, cardiac microstructure Myofiber strain (MS) is a promising biomarker of cardiac function, but it requires the combination of cDTI and of a 3D cardiac displacement field. Displacement fields can be measured using DENSE imaging, but with low spatial resolution and limited spatial coverage. Feature tracking (FT) allows the estimation of the displacement directly from cine imaging. In this study, myofiber strains estimated using DENSE and FT were compared on thirty healthy volunteers. The magnitude of myofiber strain calculated with DENSE was higher than with FT (MSDENSE=-0.15[-0.16;-0.14] vs MSFT=-0.11[-0.14;-0.06], p<0.001) but no correlation was found between MSDENSE and MSFT (r=0.14 p=0.47). |
| 1432
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17:20
|
Accelerated 3D Stack-of-Spiral Cardiac Quantitative Susceptibility Mapping: Noninvasive Measurement of Heart Oxygenation in a Breath-Hold |
| Jiahao Li1,2, Pablo Villar-Calle3, Hannah Agoglia3, Nicole Liberman3, Thanh D. Nguyen2, Yi Wang1,2, Jiwon Kim3, Jonathan W. Weinsaft3, and Pascal Spincemaille2 | ||
1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States, 3Medicine, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Heart, Oxygenation A breath-holding non-cardiac gated 3D stack-of-spiral data acquisition scheme was developed to continuously sample the data for cardiac quantitative susceptibility mapping. Compared to the previously proposed navigator-based prospective Cartesian acquisition, the accelerated spiral sequence can be done within 20 seconds breath-holds, leading to over a 20-fold reduction in scan time. The spiral QSM as well as the navigator QSM were performed on cohorts of healthy volunteers and COVID-19 survivors, showing well aligned quantification results on the differential blood oxygenation between the right and left heart. |
| 1433 | 17:28
|
Free-breathing simultaneous myocardial T2 and T1ρ mapping for non-contrast assessment of uremic cardiomyopathy |
| Qinfang Miao1,2, Zhenfeng Lv1,2, Sha Hua3, Zhongqi Zhang4, Jian Xu4, Peng Hu1,2, and Haikun Qi1,2 | ||
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Shanghai Clinical Research and Trial Center, Shanghai, China, 3Department of Cardiovascular Medicine, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4UIH America, Inc., Houston, TX, United States |
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Keywords: Myocardium, Cardiomyopathy Uremic cardiomyopathy is the adverse cardiac remodeling that commonly occurs in patients with chronic kidney disease. Previous studies have indicated increased intramyocardial fluid and myocardial fibrosis in uremic patients, which makes native myocardial T2 and T1ρ mapping ideal imaging biomarkers to characterize these changes. Therefore, we propose a free-breathing simultaneous T2 and T1ρ mapping technique to provide co-registered T2 and T1ρ maps. The proposed technique was firstly evaluated in phantoms and ten healthy subjects, which achieved similar performance to the conventional separate T2 and T1ρ mapping methods. The preliminary validation in four hemodialysis patients showed promising results. |
| 1434 | 17:36
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A Multi-Nuclear MRI/MRS Study Exploring the Impact of a Novel Cardiac Mitotrope in the Treatment of Diabetic Cardiomyopathy |
| Damian Tyler1, Moritz Hundertmark1, Adrienne Siu1, Violet Matthews2, Andrew Lewis1, James Grist1,2, Jai Patel3, Paul Chamberlin3, Rizwan Sarwar1, Arash Yavari1,3, Hakim-Moulay Dehbi4, Michael Frenneaux5, Ladislav Valkovič1,6, Jack Miller1,7, Stefan Neubauer1, and Oliver Rider1 | ||
1University of Oxford, Oxford, United Kingdom, 2Oxford University Hospitals NHS Foundations Trust, Oxford, United Kingdom, 3Imbria Pharmaceuticals, Boston, MA, United States, 4University College London, London, United Kingdom, 5Hamad Medical Corporation, Doha, Qatar, 6Slovak Academy of Sciences, Bratislava, Slovakia, 7Aarhus University, Aarhus, Denmark |
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Keywords: Heart, Diabetes, Multi-nuclear Spectroscopy Patients with Type 2 Diabetes (T2D) are at a significantly increased risk of heart failure (HF) with the development of HF driven by energetic, metabolic, structural, and functional cardiac changes. In this study we have used a multi-nuclear MRI/MRS approach to demonstrate that the novel metabolic modulator, ninerafaxstat, can significantly improve myocardial energetics, cardiac steatosis and diastolic function in patients with T2D and obesity. In addition, using cardiac hyperpolarized [1-13C]pyruvate MRS, we have identified a potential signal for increased pyruvate dehydrogenase flux upon treatment with ninerafaxstat. |
| 1435 | 17:44
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Fractal Analysis in Cardiovascular MR: Prognostic Value of Biventricular Trabecular Complexity in Hypertrophic Cardiomyopathy |
| Wen-yi Jiang1, Weibo Chen2, Yan Zhou1, Lei Zhao3, and Lian-Ming Wu1 | ||
1Renji Hospital affiliated to Shanghai Jiao Tong University, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Beijing Anzhen Hospital affiliated to Capital Medical University, Beijing, China |
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Keywords: Cardiomyopathy, Heart Trabecular complexity of left and right ventricles can be quantified as fractal dimension (FD), a number between 1 to 2, by fractal analysis on short axis cine images of cardiovascular magnetic resonance. We found that biventricular FDs provide significant prognostic value for sudden cardiac death and composited adverse events including rehospitalization due to heart failure in patients with hypertrophic cardiomyopathy (HCM). LV maximal apical FD and RV global FD are independent prognostic factors in HCM. In addition, they provide incremental prognostic value to the conventional predictors including European Society of Cardiology predictors and late gadolinium enhancement percentage. |
| 1436 | 17:52
|
Post-ablation Changes in Left Atrial Hemodynamics and Volume in Patients with Atrial Fibrillation |
| David Dushfunian1, Anthony Maroun1, Justin Baraboo1, Maurice Pradella1,2, Daniel C. Lee1,3, Philip Greenland4, Rod Passman3, Daniel Kim1, and Michael Markl1 | ||
1Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 2Department of Radiology, University of Basel, Basel, Switzerland, 3Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States |
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Keywords: Flow, Velocity & Flow Atrial fibrillation (AF) leads to detrimental changes in the left atrial (LA) and left atrial appendage’s (LAA) hemodynamics and volumes. When indicated, AF ablation is used to reduce AF burden. We recruited 17 post-ablation patients, 10 of whom had no documented AF recurrences. 4D flow MRI was acquired, immediately before and 6-12months after ablation, and quantified for LA and LAA stasis, volume, and peak velocities. Our findings support the notion that restoration of sinus rhythm corrects the deleterious changes of AF. |
| 1437 | 16:00
|
Volumetric Dynamic Imaging for Functional Kinematic Assessment of the Wrist |
| Ruoxun Zi1, Bili Wang1, Jerzy Walczyk1, Ryan Brown1, Catherine Petchprapa1, James Fishbaugh2, Guido Gerig2, Kai Tobias Block1, and Riccardo Lattanzi1 | ||
1The Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Computer Science and Engineering, New York University Tandon School of Engineerin, Brooklyn, NY, United States |
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Keywords: Joints, MSK, Wrist Dynamic MRI can be useful for evaluation of wrist instability. However, most available real-time MRI methods are either limited due to their 2D nature or provide only low temporal resolution and insufficient image quality. Here, we propose a novel approach for volumetric dynamic wrist examination by assembling 2D real-time data into 3D snapshots using MRI-visible markers. The method has been demonstrated for ulnar-radial deviation using a flexible wrist coil and 3D-printed support platform for guiding motion. Future work will use a high-resolution static MRI as morphological prior to segment bones on the dynamic volumes and allow for quantitative kinematic assessment. |
| 1438 | 16:08
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Alteration of sacroiliac fatty acids composition in axial spondyloarthritis: analysis using 3.0 T chemical shift-encoded MRI |
| Min Chen1,2, Chuanli Cheng1, Chao Zou1, and Guanxun Cheng2 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Radiology Department, Peking University Shenzhen Hospital, Shenzhen, China |
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Keywords: Joints, Quantitative Imaging, axial spondyloarthritis; bone marrow; fatty acids Changes of bone marrow fatty acids (FAs) composition have been detected in several inflammatory and metabolic diseases by MRI. However, the alteration of sacroiliac FAs composition in axial spondyloarthritis (axSpA) remains unknown. We observed changes of bone marrow FAs composition of the sacroiliac joint in patients with axSpA compared to controls using chemical shift-encoded MRI (CSE-MRI). The changes differed between areas with fat metaplasia and areas without fat metaplasia in axSpA. Our results indicated bone marrow FAs including saturated FA, mono-unsaturated FA and poly-unsaturated FA may play different roles in the pathogenesis of axSpA. |
| 1439 | 16:16
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Probing muscle recovery following downhill running using precise mapping of MRI’s T2 relaxation times |
| Maria Holodov1, Irit Markus2, Chen Solomon1, Shimon Shahar3, Tamar Blumenfeld-Katzir1, Yftach Gepner2, and Noam Ben-Eliezer1,4,5 | ||
1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Department of Epidemiology and Preventive Medicine, School of Public Health and Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv, Israel, 3Center of AI and Data Science (TAD), Tel Aviv University, Tel Aviv, Israel, 4Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States |
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Keywords: Muscle, Skeletal Post-exercise recovery rate is vital for planning training protocols, maintaining high-level performance, and preventing injuries. Notwithstanding the advancement of noninvasive imaging, there is still a lack in efficient tools for monitoring muscle state and post-exercise due to the relatively small changes in the muscles’ microarchitecture, and the high variability in recovery rate between and within participants. Here we utilized the echo-modulation-curve (EMC) algorithm, a highly accurate and precise tool for mapping T2 relaxation times, to track muscle damage and recovery following exercise. Results show that this approach provides new insights into the microstructural processes that occur following exercise. |
| 1440 | 16:24
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Flexural Rigidity of THAs is Associated with MRI and Histological findings |
| Sara E Sacher1, Elexis Padgett1, John P Neri1, Timothy Wright1, Thomas W Bauer1, Michael Parides1, Douglas Padgett1, Hollis G Potter1, and Matthew F Koff1 | ||
1Hospital for Special Surgery, New York, NY, United States |
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Keywords: MSK, MSK, Total hip arthroplasty Micromotion at interfaces in modular total hip arthroplasties (THAs) induces corrosion and generation of adverse local tissue reactions (ALTRs), potentially leading to premature failure. The flexural rigidities (FR) of THA femoral stem trunnions retrieved from revision surgery were correlated with MRI metrics and histopathological outcomes. Increased FR was associated with osteolysis and a reduced synovial response, while a lower FR was associated with granulomas, different synovitis types, and tissue necrosis. These results indicate that MRI can serve as a useful biomarker of the local tissue response around THA. |
| 1441 | 16:32
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Differentiation between myelodysplastic syndrome and aplastic anemia using transfer learning of vision transformer |
| Miyuki Takasu1, Yasutaka Baba2, Konagi Takeda1, Saki Kawai1, Hiroaki Sakane1, Nobuko Tanitame1, Akihisa Tamura1, Makoto Iida1, and Kazuo Awai3 | ||
1Diagnostic Radiology, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Japan, 2Diagnostic Radiology, International Medical Center, Saitama Medical University, Hidaka, Japan, 3Hiroshima University Hospital, Hiroshima, Japan |
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Keywords: Bone, Machine Learning/Artificial Intelligence We examined the use of a vision transformer (ViT)-based deep learning model for the task of differentiation between aplastic anemia and myelodysplastic syndrome using lumbar T1-weighted images. Three sagittal images per patient were obtained and made square using zero-padding and were resized (224 × 224). The overall accuracy and area under the curve of the pre-trained ViT model were higher than those of ViT without pre-training, ResNet-110, and BinaryNet at the optimum hyperparameters. We utilized Grad-CAM images to highlight the information that is important for decision-making. ViT combined with Grad-CAM successfully recognized variability in the distribution of bone marrow components. |
| 1442 | 16:40
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Diagnostic performance of Rapid Whole-body MRI with uniformly fat-suppressed T2-weighted imaging for multiple myeloma |
| Rianne A van der Heijden1, Timothy M Schmidt2, Scott B Reeder1,3,4,5,6, and Ali Pirasteh1,3 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Emergency Medical Physics, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Skeletal, PET/MR, Multiple Myeloma In this study we evaluated the diagnostic performance of whole-body T2-weighted imaging with uniform 2-point Dixon fat-suppression for the detection of multiple myeloma. Furthermore, we evaluated the added sensitivity, change in disease stage, and change in treatment plan with the sequential addition of DWI and FDG PET. T2-Dixon demonstrated higher sensitivity than both DWI and PET. Adding DWI did not change stage or treatment plan. However, the addition of PET did change the treatment plan in one patient with extra-osseous disease. Whole-body PET-MRI with T2-Dixon is a promising and efficient tool for assessment of multiple myeloma. |
| 1443 | 16:48
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Inspiratory dilatory tongue movement, as measured with tagged MRI, and intramuscular neural drive in obstructive sleep apnoea patients |
| Lauriane Jugé1,2, Angela Liao1,2, Jade Yeung1, Fiona Knapman1,2, Christopher Bull1,2, Peter Burke1,3, Elizabeth Brown1,4, Simon Gandevia1,2, Danny Eckert1,5, Jane Butler1,2, and Lynne Bilston1,2 | ||
1Neuroscience Research Australia, Sydney, Australia, 2University of New South Wales, Sydney, Australia, 3Macquarie Medical School, Macquarie University, Sydney, Australia, 4Prince of Wales Hospital, Sydney, Australia, 5Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia |
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Keywords: Muscle, Muscle, electromyography, sleep, tagged MRI As measured by tagged MRI, inspiratory tongue dilatory movement might be useful to shed new light on mechanisms controlling upper airway dilation in obstructive sleep apnoea (OSA). Nine healthy controls and 37 untreated OSA patients underwent an upper airway MRI scan and tongue intramuscular electromyography (EMG) assessment. Results identified two opposing relationships between inspiratory tongue movement and phasic EMG with variable impacts on upper airway function for controls and OSA patients. These results suggest that there are complex, and unexpected, relationships between neural drive and anterior tongue movement that suggest upper airway function cannot be predicted from EMG alone. |
| 1444 | 16:56
|
Segmentation and quantification of hand synovitis in rheumatoid arthritis on DCE-MRI-based clustering |
| Wanxuan Fang1, Yijun Mao2, Yujie An1, Hiroyuki Sugimori2, Shinji Kiuch3, and Tamotsu Kamishima2 | ||
1Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan, 2Faculty of Health Sciences, Hokkaido University, Sapporo, Japan, 3AIC Yaesu Clinic, Tokyo, Japan |
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Keywords: Rheumatoid Arthritis, DSC & DCE Perfusion Volumetry of enhancing pannus can be used as a marker for disease activity in synovial proliferative disorders such as RA. Enhancing pannus quantified by manual outlining as well as semiquantitative visual assessment of synovitis is too time-consuming to be justified in busy clinical practice. Our study showed great potential for automated quantitative segmentation and quantification of enhancing pannus, which would allow for accurate estimation of disease aggressiveness and thus prompt early therapeutic intervention for patients and assessment of treatment efficacy without increasing the burden on physicians. |
| 1445 | 17:04
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Intelligent automatic slice prescription of scout scans of MSK MRI imaging using surface coil sensitivities |
| Kavitha Manickam1, Muhan Shao2, Dawei Gui1, Chitresh Bhushan2, and Dattesh D Shanbhag3 | ||
1GE HealthCare, Waukesha, WI, United States, 2GE Global Research, Niskayuna, NY, United States, 3GE Healthcare, Bangalore, India |
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Keywords: MSK, Machine Learning/Artificial Intelligence, Automatic prescription, coil sensitivity map Large-FOV, low-resolution 3D surface coil sensitivities maps are acquired as part of pre-scan which is typically used to calibrate the hardware of MRI system. In this abstract, we propose to use the coil sensitivity maps to automatically find the region of interest of spine anatomy. This information can be used to position the scout images accurately and automatically and thereby reduce any repeat of the scout scans and increase throughput. Our proposal does not need any additional scan and utilizes the existing information available in the MRI scanner. |
| 1446 | 17:12
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Lower-limb walking kinetics associated with acetabular and femoral bone remodeling in hip OA: a PET-MR study |
| Koren Roach1,2, Radhika Tibrewala2,3, Valentina Pedoia2, Emma Bahroos2, Sharmila Majumdar2, and Richard Souza2 | ||
1University of Calgary, Calgary, AB, Canada, 2University of California, San Francisco, San Francisco, CA, United States, 3New York University, New York, NY, United States |
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Keywords: Osteoarthritis, MSK Early hip osteoarthritis is clinically hypothesized to include alterations in joint motion and bone remodeling. This study investigated the relationships between lower-limb joint kinetics and bone remodeling, measured via positron emission tomography. Our results suggest that greater hip flexion and internal rotation loading and more uniform knee abduction loading are associated with bone remodeling and may serve as early biomechanical biomarkers for hip OA. |
| 1447 | 17:20
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Multiexponential UTE Relaxation in Achilles Tendon of Ballet Dancers Reveals Matrix Proton Pool Associated with Tendon Shear Stiffness |
| Anna M Horner1, Felix M Gonzalez2, Courtney N Gleason1, Amanda Blackmon3,4, Emma Faulkner3,5, and David A Reiter1 | ||
1Emory University School of Medicine, Atlanta, GA, United States, 2Radiology, AdventHealth, Orlando, FL, United States, 3Atlanta Dance Medicine, Atlanta, GA, United States, 4Physical Therapy, Mercer University, College of Health Professions, Macon, GA, United States, 5Dance, Emory University, Atlanta, GA, United States |
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Keywords: Tendon/Ligament, Low-Field MRI, UTE MRI, SWE, ballet dancers Multi-echo ultrashort echo time (UTE) MRI provides quantitative structural information on both tendon matrix constituents and water distribution, which influence the mechanical function of tendons. UTE images of professional ballet dancers' Achilles tendons (AT) were combined with Shear Wave Elastography (SWE) Ultrasound (US) measurements of their AT to provide insight on the structure-function. The signal fraction corresponding to the off-resonance relaxation tendon components were found to positively correlate with the long-axis SWE velocity in this dancer cohort. |
| 1448 | 17:28
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Whole-Body Diffusion-weighted MRI, non-diffusion MRI, and PET-CT in detection of Spinal Lesions in Multiple Myeloma Patients |
| Kai Ye1, Huishu Yuan1, Weifang Zhang2, Xianchang Zhang3, and Lihua Zhang1 | ||
1Department of Radiology, Peking University Third Hospital, Beijing, China, 2Peking University Third Hospital, Beijing, China, 3MR Collaboration, Siemens Healthineers Ltd, Beijing, China |
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Keywords: Bone, Diffusion/other diffusion imaging techniques, Multiple Myeloma This study investigated the performance of whole-body diffusion-weighted imaging (WBDWI), non-diffusion MRI, and 18F-FDG PET-CT in detecting spinal lesions in patients with an initial diagnosis of multiple myeloma (MM). The results showed that WBDWI discovered more lesions compared with both non-diffusion MRI and 18F-PET-CT. And the detection of spinal lesions in WBDWI was not significantly decreased even with the decreased degree of marrow infiltration in patients with MM. This suggests that WBDWI should be the preferentially recommended examination for patients with an initial diagnosis of MM. |
| 1449 | 17:36
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Intravoxel Incoherent Motion Diffusion-weighted MR Imaging and IDEAL-IQ for Assessment of Treatment Response in Multiple Myeloma |
| Yanhua Tang1, Li Wang2, and Yichen Ma3 | ||
1Radiology, Beijing Chao-Yang Hospital, Capital Medical Universit, Beijing, China, 2Beijing Chao-Yang Hospital, Capital Medical Universit, Beijing, China, 3Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China |
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Keywords: Bone, Diffusion/other diffusion imaging techniques, intravoxel incoherent motion, diffusion-weighted imaging, iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation sequence (IDEAL-IQ), multiple myeloma, treatment response This study explored the feasibility of IVIM DWI and IDEAL-IQ parameters in evaluating the treatment response of patients with multiple myeloma (MM) who received systemic treatment within 6 months. The results showed that within 6 months after treatment, the changes of D and f values of IVIM DWI in deep-responders before and after treatment were significantly different from those in non-deep responders.This indicates that the changes of D and f values of IVIM DWI may be helpful to evaluate the short-term (within 6 months) therapeutic response of myeloma, while the evaluation of IDEAL-IQ on short-term therapeutic response needs further study. |
| 1450 | 17:44
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The Effect of Long-term Exercise Training on Metabolic Responses in Obese Zucker Fatty Diabetic Rats using Phosphorous-31 MRS |
| Kihwan Kim1, Yuran Zhu1, Raodatullah Abodunrin1, Sonia Kumar 1, Jessica Meng1, Luchen Yu1, Allison McKenzie 1, and Xin Yu1,2 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Muscle, Diabetes In this study, metabolic responses to 10-week treadmill exercise on obese Zucker rats were examined using 31P magnetic resonance spectroscopy. Exercise resulted in improvement in glucose tolerance and aerobic capacity (VO2max) while retaining mitochondrial oxidative capacity (MOC) and creatine kinase (CK) activity. Sedentary rats, however, showed poor glucose tolerance and reduced VO2max, which were also marked by significant changes in their MOC and CK activity. |
| 1451 | 17:52
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An initial evaluation of image quality for double knee imaging with air coil as compared with traditional knee coils |
| Chao Han1, Feifei Zhang1, Chengbin Tian1, Wenwen Kang1, Weimin Yu1, and Jinxia Guo2 | ||
1General Hospital of Pingmei Shenma Group, Pingdingshan, China, 2GE Healthcare, MR Research, Beijing, China |
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Keywords: Joints, Joints This study investigated the feasibility and potential advantages of adaptive imaging receiver (AIR) coil for knee imaging. The results show that the SNR and CNR of air coil images were inferior to that of traditional knee coil, but the visual image qualities were comparable between two coils. The air coil can be feasible for knee imaging, especially for patients with large size and double knee imaging. |
| 1452 | 16:00
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Do adult patients with moyamoya disease have glymphatic system dysfunction? - evaluation using diffusion along perivascular space |
| Shoko Hara1,2,3, Junko Kikuta2, Kaito Takabayashi2, Koji Kamagata2, Shihori Hayashi1,4, Motoki Inaji1,3, Yoji Tanaka1, Masaaki Hori2, Kenji Ishii4, Tadashi Nariai1,4, Toshiaki Taoka5, Shinji Naganawa6, Shigeki Aoki2, and Takeoshi Maehara1 | ||
1Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan, 2Radiology, Juntendo University, Tokyo, Japan, 3Research Team of Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan, 4Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan, 5Innovative Biomedical Visualization, Nagoya University Graduate School of Medicine, Nagoya, Japan, 6Radiology, Nagoya University, Nagoya, Japan |
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Keywords: Neurofluids, Diffusion/other diffusion imaging techniques, glymphatic system We aimed to evaluate the glymphatic system of adult moyamoya disease (MMD) by measuring diffusion along the perivascular space (DTI-ALPS index). We evaluated 46 patients using diffusion MRI, perfusion parameters of 15O-gas PET, and cognitive tests, and 34 age-sex-matched normal controls. Compared to normal controls, patients with MMD showed significantly lower DTI-ALPS index. DTI-ALPS index in MMD revealed the correlation between perfusion and freewater parameters, and executive dysfunction, and suggested that dysfunction of the glymphatic system may exist, correlate with the degree of hemodynamic disturbance, lead to increased parenchymal free water, and relate to cognitive dysfunction in adult MMD. |
| 1453 | 16:08
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Multimodal MR imaging approach to evaluate the interaction between cardiac pulsation and perivascular CSF motion |
| Adam M. Wright1,2, Yunjie Tong1, Yu-Chien Wu2, and Qiuting Wen2 | ||
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2School of Medicine, Indiana University, Indianapolis, IN, United States |
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Keywords: Neurofluids, Neurofluids We designed a non-invasive multimodal MRI approach to evaluate the relationship between cardiac pulsation and perivascular cerebrospinal fluid (pCSF) dynamics in humans. We utilized cardiac-aligned resting-state functional MRI and dynamic diffusion-weighted imaging to describe cerebral vascular events and pCSF motion, respectively. This approach revealed that changes in cerebral blood volume preceded an increase in pCSF motion, demonstrating the cardiac cycle’s effect on pCSF dynamics. Our results parallel preclinical two-photon imaging findings of perivascular CSF dynamics in mice. Our in-vivo assessment of cardiac pulsations influencing pCSF motion provides a non-invasive look into a crucial part of the human brain’s glymphatic system. |
| 1454 | 16:16
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TOTAL WHITE MATTER PERIVASCULAR SPACE VOLUME: AN EARLY MARKER FOR DUTCH-TYPE CEREBRAL AMYLOID ANGIOPATHY |
| Manon Roxanne Schipper1, Arie-Tjerk Razoux-Schultz2, Thijs W. van Harten1, Jeroen van der Grond1, Mark van Buchem1, Steven M. Greenberg3, Marieke J.H. Wermer4, Matthias J.P. van Osch1, Marianne A.A. van Walderveen1, and Sanneke van Rooden1 | ||
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Leiden University Medical Center, Leiden, Netherlands, 3Neurology, Mass General Research Institute, Boston, MA, United States, 4Neurology, Leiden University Medical Center, Leiden, Netherlands |
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Keywords: Neurofluids, Neurofluids, Perivascular spaces In this study we semi-automatically quantified MRI-visible perivascular space volume in the white matter (WM-PVS) and compared these volumes between (pre-)symptomatic Dutch-type hereditary Cerebral Amyloid Angiopathy (D-CAA) and matched controls. Main findings show that the WM-PVS volume was significantly higher in symptomatic D-CAA (median=19.9mL) compared with both presymptomatic D-CAA (median=3.5mL; U=19, p=.01) and matched controls (median=4.9mL; U=1, p<.001). Presymptomatic D-CAA carriers had a higher WM-PVS volume than the matched controls (median=2.3mL; U=27, p=.02). This indicates that WM-PVS volume, in contrast to the PVS-CSO visual rating scales, may be an early marker for D-CAA. |
| 1455
|
16:24
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Higher blood flow velocity pulsatility relates to increased interstitial fluid diffusivity - a potential proxy of high perivascular fluid flow |
| Merel M. van der Thiel1,2,3, Marieke van den Kerkhof1,2, Alida A. Postma1,2, Walter H. Backes1,2,4, and Jacobus F.A. Jansen1,2,5 | ||
1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands, 4Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands, 5Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Keywords: Neurofluids, Aging, Diffusion, pulsatility, waste clearance Impaired cerebral waste clearance occurs in healthy ageing and various neurodegenerative diseases and is theorized to be due to compromised arterial pulsatility. Profiting from high-resolution 7 Tesla MRI, the current study investigated the association between pulsatility characteristics of a small artery in the basal ganglia (BG) with interstitial fluid (ISF) characteristics of the BG - as derived with intravoxel incoherent motion. This study found that an increased small vessel velocity pulsatility was related to higher ISF-diffusivity in the BG of an elderly sample. This increased ISF-diffusivity might represent increased perivascular fluid diffusivity, influencing the waste fluid transport out of these spaces. |
| 1456 | 16:32
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DWI with dynamic b-value cycling reveals evidence of reduced suprasellar cistern neurofluid motion in Parkinson’s disease |
| Gabriela Pierobon Mays1, Kilian Hett1, Jarrod Eisma1, Colin D McKnight1, Jason Elenberger1, Alexander K Song1, Ciaran Considine1, Caleb Han1, Daniel O Claassen1, and Manus J Donahue1 | ||
1Vanderbilt University, Nashville, TN, United States |
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Keywords: Neurofluids, Parkinson's Disease, Glymphatic The goal of this study was to use a novel diffusion weighted imaging (DWI) protocol with dynamic cycling of low b-values to test fundamental hypotheses regarding neurofluid movement along inflow and egress pathways of the suprasellar cisterns in older adults with and without Parkinson’s disease (PD). Contrast consistent with reduced neurofluid motion was observed in PD relative to healthy participants, with reduced fluid movement corresponding to choroid plexus hyperemia. Modeling of DWI signal decay as a function of b-value provides quantitative neurofluid kinetics and may present a candidate non-tracer technology for quantifying neurofluid flow non-invasively in vivo in humans. |
| 1457 | 16:40
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Blockage of CSF Outflow via Nasal Lymphatic Pathway in Rats after Deep Cervical Lymph Node Ligation Observed Using Intrathecal Gd-based MR Imaging |
| Naoya Kinota1,2, Hiroyuki Kameda3,4, Kazuyuki Minowa3, and Kohsuke Kudo1,5 | ||
1Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan, 2Department of Dental Radiology, Hokkaido University Hospital, Sapporo, Japan, 3Department of Radiology, Faculty of Dental Medicine, Hokkaido University, Sapporo, Japan, 4Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 5Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Japan |
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Keywords: Neurofluids, Neurofluids, Glymphatic System Previous reports showed that deep cervical lymph nodes (DCLNs) receive cerebrospinal fluid (CSF) outflow. DCLN ligation resulted in intracranial accumulation of waste proteins due to impaired CSF outflow; however, changes in extracranial outflow after DCLN ligation have not been directly observed. We examined extracranial CSF outflow in rats after DCLN ligation by using intrathecal gadolinium (Gd)-based dynamic contrast-enhanced MRI. DCLN ligation blocked CSF- tracer outflow into the nasal cavity. A weak trend towards CSF-tracer retention in the ventral cistern was also observed. These results suggest that DCLN ligation affects CSF outflow in rodents. |
| 1458 | 16:48
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CSF pseudo-diffusion spatial statistics for whole-brain voxel-wise analysis of CSF flow |
| Arash Nazeri1, Taher Dehkharghanian2, Pamela J. LaMontagne1, Tammie L.S. Benzinger1, and Aristeidis Sotiras1,3 | ||
1Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 2Faculty of Health Science, McMaster University, Hamilton, ON, Canada, 3Institute for Informatics, Washington University in St. Louis, St. Louis, MO, United States |
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Keywords: Neurofluids, Diffusion/other diffusion imaging techniques, cerebrospinal fluid Alterations in CSF flow patterns have been implicated in various brain disorders. At low b-values, diffusion-weighted imaging is sensitive to pseudorandom CSF flow. Here, we present CSF pseudo-diffusion spatial statistics (CΨSS), a whole-brain multi-subject voxel-wise analysis framework that exploits low-b-value diffusion-weighted imaging to study regional patterns of CSF flow. Using this technique, we show how brain atrophy and ventricular volumes affect regional CSF pseudorandom flow. In conclusion, CΨSS is a simple and effective approach for characterizing determinants of regional CSF pseudorandom flow. |
| 1459 | 16:56
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Physical exercise activates intrinsic CSF outflow metrics in healthy humans |
| Mitsue Miyazaki1, Vadim Malis1, Asako Yamamoto2, Jirach Kungsamutr3, Marin McDonald1, Linda McEvoy1, and Won Bae1,4 | ||
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2Radiology, Teikyo University, Tokyo, Japan, 3Bioengineer, University of California, San Diego, La Jolla, CA, United States, 4VA San Diego Healthcare System, San Diego, CA, United States |
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Keywords: Neurofluids, Neurofluids, CSF, glymphatic egress pathways, active and sedentary Possible two intrinsic CSF egress pathways of dura mater and the lower parasagittal dura (PSD) are observed using non-contrast spin-labeling MRI. Intrinsic CSF outflow metrics increase in the adults with an active lifestyle than adults with sedentary lifestyle. However, after 3 weeks of increased physical activity, the sedentary group showed improved CSF outflow metrics. This improvement was notable at the lower PSD, where outflow metrics were highest among the active group. These quantitative CSF results indicate a new pathway of CSF flow from the lower PSD to the superior sagittal sinus that is most evident in physically active individuals. |
| 1460 | 17:04
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Cerebrospinal fluid pathways are perturbed in aging and prodromal Alzheimer’s disease |
| Tekla Maria Kylkilahti1,2, Max Wictor1,2, David Berron3, Johannes Töger4, Karin Markenroth Bloch5, Niklas Mattson-Carlgren3, Oskar Hansson3,6, and Iben Lundgaard1,2 | ||
1Experimental medical science, Lund University, Lund, Sweden, 2Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden, 3Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden, 4Skåne University Hospital, Department of Clinical Sciences Lund, Diagnostic Radiology, Lund University, Lund, Sweden, 5Lund University Bioimaging Center, Lund University, Lund, Sweden, 6Neuropsychiatric Clinic, Malmö University Hospital, Malmö, Sweden |
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Keywords: Neurofluids, Velocity & Flow Cerebrospinal fluid (CSF) circulation through the parenchyma by the glymphatic system has been suggested to play a role in the clearance of metabolic waste from the brain, including Amyloid β. In this 7T MRI study of CSF flow in the cerebral aqueduct, we find that ageing, cognitive status and amyloid status influence CSF dynamics and morphology of the aqueduct. These changes appear to precede major cognitive changes in Alzheimer’s disease. Disruption of flow dynamics and anatomy of CSF flow pathways may reflect dysfunctional CSF circulation in downstream compartments of the glymphatic system, and contribute to amyloid accumulation in the brain. |
| 1461 | 17:12
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Real-Time Imaging of Cerebrospinal Fluid Flow with Low-Rank and Subspace Modeling |
| Aiqi Sun1, Lekang Yin2, Bingyi Wang1, Hengfa Lu3, Peng Wu4, and Bo Zhao3,5 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, 4Philips Healthcare, Shanghai, China, 5Oden Institute for ComputationalEngineering and Sciences, University of Texas at Austin, Austin, TX, United States |
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Keywords: Neurofluids, Velocity & Flow Quantification of cerebrospinal fluid (CSF) flow is critical for studying the physiological and pathological mechanisms of CSF dynamics and related neurological diseases. Conventional cine phase-contrast MRI provides an effective tool to quantify CSF flow, however, this method is not suitable for evaluating beat-by-beat flow variabilities associated with cardiac arrhythmia and/or respiratory regulation. This work presents a real-time flow MRI method at a spatial resolution of 0.5 mm and temporal resolution of 52 ms for assessment of CSF flow in cerebral aqueduct at 3T, which can well resolve beat-by-beat CSF flow variations. Its feasibility has been demonstrated in multiple healthy subjects. |
| 1462 | 17:20
|
Quantification of CSF T1 and T2 in the Subarachnoid Space: Implication for Brain-CSF Exchange |
| Dengrong Jiang1, Yifan Gou2, Zhiliang Wei1, Xirui Hou1, Vivek Yedavalli1, and Hanzhang Lu1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Biomedical Engineering, Johns Hopkins University School of Engineering, Baltimore, MD, United States |
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Keywords: Neurofluids, Neurofluids It has been suggested that the brain’s waste clearance system involves water exchange between brain tissue and CSF in perivascular spaces, which are part of the subarachnoid space (SAS). In this work, we found CSF T1 and T2 in SAS were shorter than corresponding values in the frontal-horns of lateral ventricle, which have minimal exchange. Numerical simulations showed that a higher brain-CSF water exchange rate was associated with lower apparent relaxation time in SAS, providing a potential means to estimate brain-CSF water exchange rate in vivo. |
| 1463 | 17:28
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Measurement of CSF pulsation in Parkinson’s disease patients using EPI-based fMRI data |
| Jun-Hee Kim1, Suhong Kim1, Jae-Geun Im1, Seok Jong Chung2, Phil Hyu Lee2, Yong Jeong1, and Sung-Hong Park1 | ||
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Yonsei University Colledge of Medicine, Seoul, Korea, Republic of |
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Keywords: Neurofluids, Parkinson's Disease The fMRI dataset for Parkinson’s disease with mild cognitive impairment (PD-MCI) was studied using a recently-proposed method of simultaneous CSF pulsation and BOLD activity imaging. The PD group was classified to dementia (PDD) high-risk and low-risk groups. The CSF pulsation of both PDD high-risk and low-risk groups was higher than that of healthy control. Opposite to the tendency of CSF pulsation, coefficient of variation of CSF pulsation was reduced in PD group compared to healthy control. These results indicate association of CSF pulsation with brain waste clearance in these patients, which requires further investigations for elucidation. |
| 1464 | 17:36
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The impact of infusion rate on Gd-DTPA transport in the glymphatic system in mouse brain |
| Yuran Zhu1, Guanhua Wang2, Kihwan Kim1, Chris A. Flask1,3,4, and Xin Yu1,3,5 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 4Department of Pediatrics, Case Western Reserve University, Cleveland, OH, United States, 5Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Neurofluids, Contrast Agent, Glymphatic system This study evaluated the impact of infusion rate on tracer transport in mouse glymphatic system. Gd-DTPA was administered via cisterna magna at a rate either comparable to the CSF production rate in mouse brain (0.33 μL/min) or three-fold higher (1 μL/min). The kinetics and distribution of Gd-DTPA were assessed by DCE-MRI for 2 hours. Our results show a significantly increased transport along the dorsal brain regions and penetration into the deep brain regions at a slow infusion rate, suggesting that the infusion rate may alter the pressure gradient and affect tracer transport and distribution in the brain. |
| 1465
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17:44
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Synthesizing contrast-enhancement map from non-contrasted black-blood images for brain lymphatic imaging using a deep neural network |
| Jun-Hee Kim1, Roh-Eul Yoo2,3, Seung-Hong Choi2,3, and Sung-Hong Park1 | ||
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiology, Seoul National University College of Medicine, Seoul, Korea, Republic of, 3Seoul National University Hospital, Seoul, Korea, Republic of |
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Keywords: Neurofluids, Machine Learning/Artificial Intelligence In this study, we proposed non-invasive brain lymphatic region mapping by synthesizing contrast-enhancement maps (CEM) from non-contrast enhanced black blood imaging (non-CEBB). T1 images were used as secondary input along with non-CEBB, which helped the network to better distinguish lymphatic regions from blood vessels. From the reconstructed 3D CEM segmentation, enhancement was mainly distributed in dorsal parasagittal dura, parasagittal regions, brain basal region and around choroid plexus, consistent with previous studies. This study could be applied to the segmentation of the brain lymphatic region with less ambiguity and may help automatic segmentation rather than intensity-based segmentation by adapting self-supervised learning. |
| 1466 | 17:52
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Imaging water exchange in the choroid plexus using T2-prepared long TE Fluid-Attenuated Inversion Recovery |
| Manuel Taso1 and David C Alsop1 | ||
1Division of MRI Research, department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Keywords: Neurofluids, Brain The choroid plexus (CP) plays a key role in brain homeostasis and waste clearance as the main source of CSF production in the brain. However, this small structure sitting in the lateral ventricles is not well characterized, including its dysfunction or impairment in several pathologies or just normal aging. Water exchange measurement using various methods has been proposed to evaluate structural but also functional properties of the CP such as ASL or other spin labeling strategies mainly in rodents. In this work, we propose a new look into water exchange between CP and CSF using T2-prepared, long TE Fluid-Attenuated-Inversion-Recovery (FLAIR). |
| 18:15 | Lauterbur Lecture |
| Zaver Bhujwalla1 | |
1Johns Hopkins University, School of Medicine, United States |