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| Saturday, 15 May | Sunday, 16 May | Monday, 17 May | Tuesday, 18 May | Wednesday, 19 May | Thursday, 20 May |
| 7:00 | |
| TBD |
| 9:00 | How to Analyse Your Physiological MRI Data: Arterial Spin Labelling |
| 13:00 | Current Status of Quantitative CMR in the Clinic |
| Charlotte Manisty |
| 13:30 | Basics of Multicontrast/Multiparametric Imaging |
| Yuchi Liu | |
This presentation aims to introduce the scientific/technical basics of multi-contrast/multi-parametric imaging. The motivation of simultaneous multiparametric mapping will be introduced, followed by acquisition schemes and reconstruction approaches. |
| 14:00 | Panel + Q&A I |
| Yuchi Liu | |
This presentation aims to introduce the scientific/technical basics of multicontrast/multiparametric imaging. The motivations will be introduced, followed by acquisition schemes and reconstruction approaches. Specific examples in cardiovascular applications will also be discussed, including IR TrueFISP (CABIRIA) approach, cardiac MRF, and multicontrast imaging using multitasking. |
| 14:30 | Panel + Q&A I |
| Charlotte Manisty |
| 15:00 | Basics of Multidimensional Imaging |
| Li Feng | |
This educational talk aims to describe the basics of multidimensional imaging. The audience is expected to learn (1) what is multidimensional imaging, (2) what are the benefits and challenges of doing multidimensional imaging, (3) what are the key components in implementing multidimensional imaging, (4) how can one generate extra dimensions in cardiovascular MRI, (5) what extra dimensions can we have, and finally (6) what are current clinical applications of multidimensional imaging. Specifically, the talk will give examples of cardiovascular MRI with extra motion dimensions and/or extra contrast dimension for free-breathing comprehensive and quantitative MRI. |
| 15:30 | State-of-the-Art Vascular Applications |
| Yibin Xie | |
Multicontrast, multiparametric and multidimensional MRI is a group of emerging paradigm-shifting MRI techniques that provides unique advantages over conventional MRI method in imaging speed and motion-robustness. It also offers a powerful platform for quantitative imaging and opens new opportunities for probing various physiological dynamics. In this talk I will provide an overview of the state of the art of vascular imaging based on multicontrast, multiparametric and multidimensional MRI, as well as an outlook for future research directions and clinical translation. |
| 16:00 | State-of-the-Art Cardiac Applications |
| Liliana Ma | |
The field of multidimensional and multiparametric imaging has gained increasing traction and momentum with advances in hardware, sampling patterns, and reconstruction techniques. This talk aims to expand on some of the techniques introduced earlier in the session, with an emphasis on state-of-the-art cardiac applications in clinical and patient populations. Techniques covered will include free-running respiratory-resolved 3D cine imaging, 5D flow, MR fingerprinting, multiparametric SAturationg-recovery singleSHot Acquisition, and MR multitasking, as well as advances in multidimensional reconstruction techniques for clinical integration. |
| 16:30 | Future Outlook |
| Leon Axel | |
While much progress has been made in the development of methods for multiparameter & multidimensional cardiovascular (CV) MRI, there are many technical challenges remaining to be overcome in clinical applications of them, particularly the difficulties associated with handling the large associated data sets, from data acquisition and image reconstruction, to visualization and analysis. However, if these challenges can be overcome, these new imaging methods can potentially both improve the efficiency of CV MRI, and provide powerful new means for assessing the effect of disease on the cardiovascular system, through integrated and spatially registered displays of structure, function, and tissue properties. |
| 17:00 | Panel + Q&A II |
| Yibin Xie | |
Multicontrast, multiparametric and multidimensional MRI is a group of emerging paradigm-shifting MRI techniques that provides unique advantages over conventional MRI method in imaging speed and motion-robustness. It also offers a powerful platform for quantitative imaging and opens new opportunities for probing various physiological dynamics. In this talk I will provide an overview of the state of the art of vascular imaging based on multicontrast, multiparametric and multidimensional MRI, as well as an outlook for future research directions and clinical translation. |
| 17:30 | Panel + Q&A II |
| Liliana Ma | |
The field of multidimensional and multiparametric imaging has gained increasing traction and momentum with advances in hardware, sampling patterns, and reconstruction techniques. This talk aims to expand on some of the techniques introduced earlier in the session, with an emphasis on state-of-the-art cardiac applications in clinical and patient populations. Techniques covered will include free-running respiratory-resolved 3D cine imaging, 5D flow, MR fingerprinting, multiparametric SAturationg-recovery singleSHot Acquisition, and MR multitasking, as well as advances in multidimensional reconstruction techniques for clinical integration. |
| 18:00 | Panel + Q&A II |
| Leon Axel |
| 13:00 | MRI of the Muscle-Tendon Unit |
| Joon-Yong Jung | |
The muscle-tendon unit is an axis to transmit force from muscle to skeleton, and its structural integrity is a prerequisite to preserve locomotion. Myotendinous injuries frequently occur not only in elite athletes, but also in the general population participating in recreational activity. This presentation reviews the microscopic and macroscopic anatomy of muscle-tendon unit in correlation with MR findings, the diagnostic approach to myotendinous injury in lower extremities using MRI, and imaging parameters associated with longer return to play or reinjury. Additionally, promising MR techniques for assessment of myotendinous injury will be briefly touched upon. |
| 13:30 | MRI of the Athletic Hip |
| Adam Johnson | |
MRI plays a vital role in the management of hip pain in active patients. Using several cases, we will illustrate the MRI findings in some common and less common causes of hip pain. We will dive a bit deeper into the various forms of hip impingement including both intra and extra-articular causes and their associated pathology. When appropriate, we will discuss the benefit of MR arthrography over standard MRI. We will also review the recommendations from the Society of Skeletal Radiology (SSR) Subchondral Bone Nomenclature Committee as they pertain to the hip. |
| 14:00 | MRI of the Athletic Knee |
| Erin Alaia | |
In this lecture, the viewer will learn about common pathology seen on MRI of the athletic knee. The lecture will cover the MRI appearance of anterior cruciate ligament tears, meniscal tears, and knee chondral defects, as well as commonly observed associated and ancillary imaging abnormalities. Basic anatomic and functional considerations will be highlighted, along with arthroscopic correlation, in order for the viewer to better understand the MRI imaging appearance and clinical implications. |
| 14:30 | MR imaging of Sports injuries of the Ankle & Foot |
| Jung-Ah Choi | |
In this lecture, we will learn about the biomechanics and injury patterns of the ankle and foot in sports injuries. We will learn how to diagnose common sports injuries of the ankle and foot on MRI, including medial and lateral, Lisfranc ligamentous injuries, Achilles tendon tears, stress fractures, and osteochondral lesions, with recognition of limitations and pitfalls of MRI. |
| 15:00 | Functional & Kinematic MRI in Sports Medicine |
| Christopher Burke | |
Pain due to patellofemoral maltracking and femoroacetabular impingement are common reasons for presentation to sports medicine clinics. These dynamic phenomena also both represent independent risk factors for early onset osteoarthritis. Patients are usually evaluated with clinical examination supported by radiographs and standard MRI with joint held in a static position. In addition to standard MRI protocols, additional kinematic sequences can be used in everyday orthopedic practice to aid the clinical work up and assessment of these patients. The background and potential application of these techniques are presented. |
| 15:30 | 7-Tesla Applications in Sports Imaging |
| Reto Sutter | |
7T imaging can be a powerful tool for sports imaging. While for many athletes it is possible to obtain a correct diagnosis at lower field strengths, some athletes may benefit from higher spatial resolution, and it is possible to identify use cases for sports imaging at 7T. MRI at ultra-high field strengths comes with technical challenges such as field homogeneity and fat/water separation, but these can be successfully overcome to enable high resolution imaging. Most work has been done for knee imaging and muscle imaging, but pilot studies for hip and foot imaging at 7T are available. |
| 13:00 | Spins & Their Equations of Motion |
| Lars Hanson | |
The Bloch Equations underlying all MRI, describe the motion of the nuclear magnetization subject to magnetic fields. The spin dynamics are explored interactively directly in a browser to visualize important MR concepts. The connection between classical and quantum MR descriptions are discussed and common misunderstandings are addressed. The audience is encouraged to try the demonstrated software tools (the CompassMR and Bloch Simulators) to explore other MR techniques also. It requires no installation of software. |
| 13:30 | Adding RF: Pulse Design |
| V. Andrew Stenger | |
This lecture will cover the basic concepts needed to understand the theory and implementation of slice-select RF pulses. Excitation k-space and the Fourier picture for small tip angle RF pulses will be covered. Common k-space trajectories and pulse designs will be discussed. Examples of 2D and 3D spatially selective excitations as well as spectral spatial pulse designs will be presented. Parallel transmission will be covered as well. Lastly we will cover the basics of Shinnar-LeRoux pulse design for larger flip angle pulses such as for refocusing. |
| 14:00 | Generating Contrast in MRI |
| Penny Gowland | |
This talk will consider the basic sources of contrast in MRI and the contrast mechanisms. It will also consider how yo can calculate the dependency of MRI signal on relaxation times and how you can design sequences with different sensitivities to relaxation times. |
| 14:30 | A Trip Through k-Space |
| Jianhui Zhong | |
In this presentation, we will discuss how k-space can be explored to achieve different goals for imaging, and remedies for related issues and errors. First some basic of k-space and Cartesian scans will be presented, mostly on spin-warp and EPI that are commonly used in routine clinical practice. Then we will go to other trajectories such as spiral and radial, and use MRF and others as example. Finally strategies of undersampling to speed up and more advanced k-space methods are introduced. |
| 15:00 | Basic Sequences: Forming Echoes |
| Klaus Scheffler | |
In spin echo techniques, the first rf-pulse acts as an excitation pulse that converts longitudinal magnetization into transverse magnetization, and a second rf-pulse after TE/2 is used as a refocusing pulse that (partially) inverts the accumulated phase between excitation and refocusing, and a spin echo is formed at TE. Only one excitation pulse is applied for gradient echo techniques. The echo is generated at TE after excitation by using a gradient reversal. |
| 15:30 | Trajectories Gone Wild! |
| Craig Meyer | |
This educational talk will introduce the audience to the fundamentals, properties, and applications of non-Cartesian k-space sampling. The fundamentals of non-Cartesian imaging include sampling principles, pulse sequence design, and image reconstruction methods. Practical considerations for implementing non-Cartesian pulse sequences include gradient waveform design, k-space trajectory estimation, and correction for non-idealities such as main field inhomogeneity. Incorporating non-Cartesian trajectories into pulse sequences such as balanced SSFP and spin-echo train sequences involves interesting challenges and presents opportunities for faster and better imaging. Non-Cartesian sampling of 3D k-space enables highly-accelerated volumetric imaging.
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| 13:00 | My Career Story: An Asian Perspective |
| Kaori Togashi | |
Paths to success is not a straight one like a jungle gym and climb steady and slowly. Environment around you is different for each person depending on your country and culture. In any difficult situation, keep positive by believing your own potential and looking for what you are expected to. Faults can be strengths and adversity brings you an opportunity. The people you met are all treasure and make yourselves a resourceful person who can give a lot to others. The publication can be passport to make new encounters. |
| 13:30 | My Career Story: An Australian Perspective |
| Shawna Farquharson | |
In this presentation I will provide an overview of my journey from Radiographer to Clinical-Researcher. I will highlight professional challenges and opportunities I was faced with over the past two decades, and highlight ten (10) important lessons learnt along the way. |
| 14:00 | My Career Story: A European Industry Perspective |
| Liesbeth Geerts-Ossevoort | |
When you're in academia, it is difficult to get a good view of what working in industry entails. In this presentation, I will provide some insight into what roles exist in industry, and why you should consider a career in industry. Aim of this presentation is to help you make a better choice between a career in academia versus a career in industry. |
| 14:30 | My Career Story: A North American Perspective |
| Shella Keilholz | |
This talk describes one person's career pathway into academia in the US. No warranties, no guarantees. Enter at your own risk. |
| 15:00 | Public Engagement Overview |
| Stuart Clare | |
Engaging with the public is vital to ensure trust in science. It can improve our research and our communication skills, and also be rewarding and fun. To best engage, we need to identify the specific audience we are intending to engage with and ensure that our message and our method match that audience. |
| 15:30 | Enthusing the Public About Science |
| David Lurie | |
Communicating our science to the public is a very important aspect of our work. When explaining our work to a general audience, it is important to tailor our communications to the specific audience (e.g. don’t use equations unless the audience members have a technical background). In this talk I will describe some of my own experiences of various kinds of public engagement. I will show some of the props and methods that I have found useful and will give some tips and hints. |
| 16:00 | Communicating Specific Findings |
| Lucina Uddin | |
While scientific publications in peer-reviewed journals are the coin of the realm in academia, to have maximal impact on society it is essential to also communicate specific findings to a broader audience outside of your specialized research area. In this talk we will discuss how one can communicate research findings to the public through blog posts, social media, newspaper op-eds, and other outlets. Key to all types of science communication is engaging with authenticity, authority, and enthusiasm. |
| 16:30 | Discussing Ethical Issues with the Public |
| Jeff Dunn | |
Scientists are often called upon to discuss ethical issues. We have training in how to communicate to scientists, but little training in how to communicate to the public. Yet we become science communicators anytime we enter into a science related discussion. I will touch on basic concepts in science communication to assist you in discussing ethical issues. Tools include finding common ground, don’t preach, identify the audience (education, political bias etc), understand the bias that education can introduce, etc.. Ethical issues often bring political and emotional bias and so you need to gain trust to become an influencer. |
| 17:00 | Public & Patient Involvement |
| Hanneke Hulst | |
Although writing scientific articles and acquisition of research funding is the core business of a scientist, it might be beneficial for the researcher and the research itself to involve the ‘audience’ (e.g. general audience, patient populations) in research projects. Why do I think this is important? It is rewarding for you as a scientist, it enriches your view on the matter at hand and subsequently making you a better scientist. Here, I will discuss best practices of science communication and co-creation of research projects with patients, which will hopefully inspire you for your future research. |
| 13:45 | Cardiovascular Disease: Macro- & Micro-Vasculature |
| Christopher Francois |
| 14:15 | Myocardial Disease: Pathophysiology & Unmet Diagnostic Needs |
| Andrew Arai |
| 14:45 | Cardiac MRI of Myocardial Perfusion & Fibrosis - State of the Art |
| Graham Wright | |
Assessment of perfusion and fibrosis in the heart with MRI is central to a complete cardiac exam. The core clinical methods have focused on dynamic first pass of Gadolinium-based contrast for perfusion and late gadolinium enhancement for fibrosis. Newer methods have targeted improvements in spatial resolution and coverage with reductions in imaging time, and robustness in the presence of implanted devices. There is a growing emphasis on quantitatiion and the introduction of methods that do not require the injection of a contrast agent. Clinical applications include management of ischemic and non-ischemic heart disease as well as complex arrhythmia management. |
| 15:15 | Measuring Ventricular Microstructure & Strain |
| Daniel Ennis | |
Cardiac structure and function are inextricably bound. MRI is an unrivaled technology for exploring and discovering the structure-function mechanisms of cardiac function and dysfunction. This talk reviews the basic microstructural constituents of the hearts (i.e. “myofibers” and “sheets”), two methods for measuring regional cardiac function (i.e. MRI tagging and cine DENSE), and the use of cardiac diffusion tensor MRI to measure microstructural organization in vivo. Methods to jointly integrate measures of structure and function to reveal microstructurally anchored measures of cardiac function (.e.g “myofiber” strain) are also described. |
| 15:45 | Tissue Characterization: Relaxometry & Exchange |
| Weitian Chen | |
Relaxation time constant T1, T2, and T1rho are important parameters to characterize tissue properties. The spatial and temporary variation of the magnetic field due to dipolar coupling and molecular tumbling is a main source of the observed relaxation effect. Relaxation can also be affected by chemical exchange and magnetization transfer effect. These physical processes reflect the metabolites and macromolecules content in tissues. Thus, imaging methods based on the measurements of relaxation time can be used to probe the biochemical properties of tissues. |
| 16:15 | Outcomes of Trials for Quantitative CMR Biomarkers |
| Michael Salerno |
| 13:45 | MR Neurography of the Upper Extremity in Athletes |
| Darryl Sneag | |
This presentation reviews general concepts related to acquisition and interpretation of magnetic resonance (MR) neurography exams. MR neurography is an important adjunct to both the physical exam and electrodiagnostic testing in the evaluation of peripheral nerve injuries in athletes. MR neurography is non-invasive and provides higher contrast resolution and access to deeper nerves/muscles, as compared to ultrasound, which is also highly operator-dependent. MR neurography of the upper extremity encompasses injuries extending from the brachial plexus to the fingers, but most athletic injuries in clinical practice that are referred for imaging are centered around the neck and shoulder regions. |
| 14:15 | Sports Injuries in Adolescents |
| Jie Nguyen | |
Increasing participation in youth sports has led to the growing incidence of acute and overuse injuries. In skeletally immature children, growth plate is the weak link, producing a spectrum of findings ranging from reversible physeal widening to irreversible adaptive remodeling, physeal fracture, and premature physeal closure. If undiagnosed and untreated, these changes can lead to deformity and premature osteoarthritis. This presentation will review the normal growth plate complex and highlight physeal-specific pathologies that can occur in the shoulders and knees of youth athletes (proximal humeral epiphysiolysis, physeal and avulsion fractures, glenoid remodeling, osteochondritis dissecans, and transphyseal bar). |
| 14:45 | Biomechanics of Sports Injuries |
| James Johnston |
| 15:15 | MRI of the Athletic Elbow, Wrist & Hand |
| Amanda Isaac | |
We will briefly touch upon the brachial plexus and main branches. We will focus on the major nerves in the upper extremity: which are the median, ulnar and the radial nerves and their main branches. With each of these nerves we will try to cover” ◆Modes & types of neural compromise ◆Their Anatomy ◆Common patterns of nerve compression & injuries of these nerves with particular focus on sports injuries ◆ our Imaging protocols & pearls And I will bring to your attention newly published books that you may find interesting for further reading. |
| 15:45 | MRI of the Athletic Shoulder |
| Júlio Guimarães | |
Shoulder disease is common in the athletic population. The unparalleled velocity achieved by overhead throwers subjects the shoulder to extreme forces, resulting in adaptive changes and pathologic findings that can be detected at imaging.A key biomechanical principle of throwing is achieving maximum external rotation, which initially leads to adaptive changes that may result in a pathologic cascade of injuries. Magnetic resonance imaging most important imaging modality to athletic shoulder pathologies and knowledge of injury patterns specific to throwing shoulder help radiologist identify the total spectrum of abnormalities and provide more relevant clinical insight to treating orthopedic surgeon. |
| 16:15 | MRI of Treatment & Recovery |
| C. Benjamin Ma |
| 13:45 | Simulating Pulses & Sequences |
| Maxim Zaitsev | |
This teaching presentation considers basic properties of the Bloch equation along with the practical and efficient methods of solving it. It shows how Bloch equation solvers for arbitrary drive fields can be converted into a core of an MR simulator. Several approaches to building such simulators are discussed along with the brief review of major open-source software packages implementing such functionality. |
| 14:15 | Contrast-topia: Flow & Diffusion |
| Jennifer McNab | |
This lecture will discuss how bipolar magnetic gradients can be used to encode diffusion and flow. We will describe diffusion MRI in terms of modeling diffusion, the effect of diffusion on the MRI signal and the effect of tissue microstructure on diffusive displacements. We will describe how diffusion encoding gradients can be specifically designed to enhance sensitivity to specific microstructural features. We talk about the use of phase contrast MRI to measure blood flow including the need to optimize gradient areas, the use of magnetic moment nulling and other approaches to gradient waveform optimization. |
| 14:45 | Contrast-topia: Spectroscopy & Chemical Exchange |
| Anke Henning | |
This educational presentation introduces the basic physical principles of magnetic resonance spectroscopy (MRS) / magnetic resonance spectroscopic imaging (MRSI) and Chemical Exchange Saturation Transfer (CEST) imaging. The influence of the nucleus and chemical shift on the resonance frequency is discussed and J-coupling, Nuclear Overhauser Effect and Chemical Exchange are introduced. Confounding effects that need to be calibrated out to yield quantitative results are mentioned. Both methods are compared with each other with respect to their sensitivity and specificity. In addition, the metabolic information that can be extracted from MRS/MRSI and CEST is discussed and clinical and research applications are introduced. |
| 15:15 | Contrast-topia: The Susceptibility-Based Methods |
| Sina Straub | |
Magnetic susceptibility in biological tissue is discussed and its influences in gradient echo imaging. Different imaging methods are explained to exploit tissue susceptibility differences as well as the use of blood-oxygen-level-dependent (BOLD) effect in fMRI and the use of paramagnetic contrast agents for dynamic susceptibility contrast perfusion imaging. Benefits of the use of ultra-high field MRI are highlighted and the choice of imaging parameters is briefly discussed. |
| 15:45 | Artifacts: What Could Possibly Go Wrong? |
| Richard Bowtell | |
There are many different types of artefacts in MRI – way too many to cover sensibly in a single educational talk – this presentation will therefore focus on a sub-set of artefacts and provide an explanation of the origin of each and introduce ways they can be ameliorated. Example artefact images will be shown, along with the results of simulations that allow the effects of varying imaging parameters on the artefact properties to be probed. We will consider artefacts resulting from: (i) errors in signal acquisition or processing; (ii) system hardware imperfections and (iii) the human subject of the scanning. |
| 16:15 | Putting It All Together: The Scanner |
| Thomas Foo | |
There are many considerations when designing a scanner. The purpose, clinical imaging needs, target performance, and complexity of the problem all need to be balanced, with trade-offs made along the way. We will be putting it all together and look at assembling a brain MRI scanner as an example. |
| 13:45 | Designing Studies of Diagnostic Imaging |
| Susan Mallett | |
This session introduces key concepts in designing imaging studies to measure diagnostic test accuracy and how to put answering your clinical question at the heart of the study design. |
| 14:15 | Basic Concepts in Measurement Error |
| Alice Sitch | |
This session introduces the concept of measurement error and considers the key questions: What is ‘measurement error’? and Why do we need to estimate ‘measurement error'? An example of a liver fibrosis monitoring study is used to introduce the key information and the generic design for imaging studies is also considered.
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| 14:45 | Study Designs & Bias |
| Susan Mallett | |
This session introduces how you can use risk of bias checklists to help you identify key design features needed for your imaging study. |
| 15:15 | Monitoring Studies |
| Alice Sitch | |
This session follows on from introducing the concept of measurement error and considers the key questions: What are monitoring studies? How can tests impact patients? And how can monitoring strategies be planned? This session introduces the concept of monitoring strategies and demonstrates how these can be planned with knowledge of the measurement error of tests. |
| 15:45 | Understanding Variability Including Interreader & Intrareader Studies |
| Alice Sitch | |
This session follows on from introducing the concept of measurement error and monitoring studies and considers the key questions: How are real variability studies conducted? And how can variability estimates help us plan test evaluation studies? This session reviews the design and results of studies used to estimate inter and intra reader variability and the impact of these results on further test evaluation studies. |
| 16:15 | Advanced Methods & Reporting |
| Susan Mallett | |
This session helps you report your study so it is useful to others including: using reporting guidelines from the EQUATOR network website; usefulness of reporting raw study data, understanding which units are important in your analysis. Issues in test thresholds and ROC AUC are discussed, and reporting study results in natural numbers to aid comprehension. |
| 14:30 | Angiography: Non-Contrast-Enhanced |
| Ioannis Koktzoglou | |
This presentation overviews non-contrast-enhanced techniques for magnetic resonance angiography (MRA). Non-contrast-enhanced MRA can be performed using a variety of techniques. This presentation describes the main non-contrast-enhanced MRA techniques, their contrast mechanisms, as well as their clinical applications. Strengths and drawbacks of non-contrast-enhanced MRA will also be discussed. This presentation also reviews emerging methods that hold promise for expanding the role of non-contrast-enhanced MRA in the clinical setting. |
| 15:00 | Molecular targeting of inflammation in atherosclerotic vascular disease |
| Katey Rayner | |
Atherosclerosis is the disease that causes heart attack and stroke. Although driven by excess cholesterol, atherosclerosis is a chronic inflammatory disease. Macrophages engage inflammatory pathways such as the inflammasome and activate NFkappa B transcriptional of cytokines to propagate inflammation, and new clinical data suggests that targeting these pathways therapeutically holds promise for patients with CVD. We will discuss new advances in inflammatory pathways in the advanced atherosclerotic plaque and how they may be leveraged for imaging of advanced atherosclerosis. |
| 15:30 | Angiography: Contrast-Enhanced |
| Giles Roditi | |
This presentation focuses on the basic principles of contrast-enhanced magnetic resonance angiography with emphasis on these foundations: 1 - Administration of intravenous contrast agent to provide contrast by shortening T1 of blood in the vessel lumen relative to background tissues 2 - Timing of the scan to coincide with contrast agent arrival in vascular bed of interest using bolus tracking or test bolus methods 3 - Scan parameters that influence image quality CE-MRA can be performed in first pass, dynamically, in ’extended phase’ (equilibrium / steady state) or combinations thereof, the advantages and trade-offs involved in each will be explored. |
| 16:00 | Markers of Vascular Function |
| Jos Westenberg | |
Vascular function testing may provide insight in early subclinical disease state. Understanding blood flow characteristics near the wall is relevant when testing vascular function for diagnosing and predicting future risk of cardiovascular disease. Phase Contrast MRI assesses blood flow velocity and provides unprecedented hemodynamic insight when extended to 4D Flow MRI. Relevant markers of vascular function assessed by 4D Flow MRI are: vascular wall stiffness (Pulse Wave Velocity), hemodynamic force on the wall (Wall Shear Stress) and eccentricity in blood flow pattern (Flow displacement). |
| 16:30 | Vessel Wall Imaging: Extracranial |
| Mahmud Mossa-Basha | |
Extracranial vasculopathy assessment, has primarily focused on carotid atherosclerotic disease, as this represents the most common extracranial vasculopathy. In the current lecture, we evaluate less frequently discussed extracranial vasculopathies, specifically blunt cerebral vascular injury and dissection and large artery inflammatory vasculopathies. We discuss disease background, current limitations in imaging paradigms and the value of vessel wall MRI, represented through case examples. In addition, we briefly discuss carotid atherosclerotic disease, providing examples of pronounced plaque burden but with limited luminal stenosis, and discuss automated, quantitative algorithms for plaque evaluation, that may improve clinical adoption of vessel wall MRI in plaque characterization. |
| 17:00 | Vessel Wall Imaging: Coronaries |
| Reza Hajhosseiny | |
Coronary artery disease (CAD) remains a significant cause of mortality and morbidity worldwide. Conventional population derived risk stratification tools, coronary luminography and functional assessment of CAD all have significant limitations in identifying individual patients most at risk of major adverse cardiac events. Coronary vessel wall imaging is a promising tool for the timely detection of coronary atherosclerosis. Advantages include early individualised risk stratification, bespoke and targeted therapeutical intervention and monitoring the response to treatment and disease progression. Cardiovascular magnetic resonance, computed tomography and nuclear imaging are all at the forefront of non-invasive coronary vessel wall and vulnerable plaque imaging. |
| 17:30 | Vessel Wall Imaging: Intracranial |
| Jae Song | |
This lecture discusses intracranial vessel wall MR imaging and how to work towards translating evolving and innovative technologies into the clinical sphere. We highlight that it is important not only to design new technologies and showcase what the MR community can innovate but also to translate that technology into a stage of implementation and adoption. We discuss technical unmet needs and potential clinical applications. We review the importance of engagement and collaboration with clinicians to ensure longevity of the research by prioritizing relevant research questions in the context of feasibility. |
| 14:30 | Neurodevelopmental Disorders: Genetics & Neurophysiology |
| Mai-Lan Ho | |
This talk will cover MRI of brain development, including age-related neurodevelopment, normal variants, and diagnostic pitfalls, and key findings in neurogenetic disorders. We will review key mechanisms of pediatric brain development based on major embryologic steps including dorsal induction, ventral induction, formation of midline commissures, migration, and organization. We will cover MRI of fetal, perinatal, and postnatal development, including myelination, sulcation, basal ganglia, pituitary, and ventricular findings. Multiple imaging examples of congenital brain malformations will be presented, linking MRI findings to underlying derangements of neurodevelopmental processes. |
| 15:00 | Autism & Sensory Over-Responsivity: Linking Structural & Functional Abnormalities |
| Susan Bookheimer | |
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| 15:30 | Commissures of the Brain |
| Ajay Taranath | |
Bundles of white matter that connect homologous structures of the cerebral hemispheres are designated commissures. The hippocampal commissure anterior commissure and fornix are the other commissures. The corpus callosum has evolved as a response to the demand for a shorter connecting route between the rapidly expanding cerebral hemispheres in placental mammals. It is the commissure of the neocortex. |
| 16:00 | Brainstem & Cerebellar Malformations |
| Kshitij Mankad | |
In this brief presentation, we review how both embryological and environmental factors can create a diverse spectrum of malformations involving the posterior fossa of the brain. We first review entities where the neuroimaging phenotyping is strong and well evolved, matching these to the clinical phenotype as well as genetic bases (where known); We then look at some novel entities with distinct phenotypes, as well as new mechanistic insights and philosophies into existing conditions. Associated supratentorial malformations are discussed and described where relevant. In addition, we review the role of diffusion tensor imaging (DTI) in entities where the technique adds value. |
| 16:30 | Cortical Malformations: From Gene to Phenotype. |
| Alireza Radmanesh | |
Understanding cortical development and embryology is essential to have a deep understanding of cortical malformations. Cortical malformations are classically categorized based on the stage of cortical development that is impacted: Proliferation, migration, late migration/organization. With our increasing understanding of molecular pathways and genetics, it has come to light that many different genes can lead to a similar MRI appearance (phenotype) because they are parts of the same molecular pathway. Therefore, understanding molecular pathways is more helpful than memorizing genes in attempts to understand disease conditions. |
| 17:00 | Imaging Brain In Utero, Anatomical & Functional: Techniques, Problems & Solutions |
| Esra Abaci Turk | |
Although ultrasound is still the primary modality for monitoring developing brain in utero, MRI has become available for pregnant patients as a secondary screening tool increasing the diagnostic accuracy achievable by ultrasound. Clinical MRI protocols usually relies on fast acquisition techniques. Two main challenges in fetal MRI are motion artifacts and safety concerns. Even though there are novel motion correction approaches, this topic continues to be a growing research area. There is no report on harmful effect of MRI to the growing fetus. However, fetal MRI safety at each gestational age, particularly the first trimester, is under investigation. |
| 17:30 | Neurophakomatoses |
| Matthew Whitehead | |
Neurophakomatoses comprise a diverse group of disorders affecting structures derived from ectoderm and/or mesoderm, leading to skin and intracranial abnormalities. MRI plays an important role in diagnosis, prognosis, and surveillance. Frequently, the imaging pattern is diagnostic or highly suggestive; the radiologist may be the first to suggest the diagnosis. In this lecture, I will attempt to strike a balance between depth and breadth, beginning with detailed examples of the 5 most common phakomatoses including neurofibromatosis type 1, Tuberous sclerosis, Sturge-Weber syndrome, Von-Hippel Lindau, and neurofibromatosis type 2, with a rapid review of rarer neurophakomatoses with specific neuroimaging patterns to follow. |
| 14:30 | RF Theory for Coil Making |
| Alireza Sadeghi-Tarakameh | |
First, radiofrequency (RF) transmit coils excite the nuclei of an imaging sample, and then, RF receive coils detect the MRI signal from excited nuclei during their relaxation. Both transmit and receive coils could be surface or volume coils as well as single-channel or multi-channel coils. In this presentation, we briefly discuss each category. We also present some fundamental theories and insights for coil making. Eventually, some recently published works about transmit and/or receive arrays are presented. |
| 15:00 | Coil-Building Demonstration |
| Boris Keil | |
In this educational video, we describe the step-by-step procedure for constructing and tuning highly parallel array coils: (1) the layout of the array elements, (2) creating and tuning a single loop element, (3) estimating the coil quality factor, (4) adjusting the single loop and match circuit to optimize preamplifier decoupling and (5) active PIN diode detuning circuitry, (6) placing the neighboring elements to allow them to be efficiently constructed and inductively decoupled, (7) assembling the array, (8) decoupling the array elements from one another, (9) tune and match the coil elements, and (10) performing final bench tests |
| 15:30 | Preamplifier Decoupling: Theory & Practice |
| Randy Duensing | |
Since the introduction of RF coil arrays (Roemer, et al), the dominant approach to RF coil matching has been to use a degree of freedom to produce a large impedance mismatch between coil and preamplifier while maintaining an approximate noise optimal impedance for each channel individually. In reality, an array of RF coils has shared impedances which means that this approach is suboptimal at all locations in the FOV, and, in optimal reconstruction algorithms the impedance mismatch is independent of SNR. Knowledge of the coupling matrix allows for optimization of local SNR via a system tune/match approach. |
| 16:00 | Preamplifier Decoupling: Theory & Practice |
| Christian Findeklee |
| 16:30 | Flexible Coils |
| Michael Lustig | |
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. |
| 17:00 | Transmit Array Element Basics |
| Ehsan Kazemivalipour | |
A safe and efficient MRI test would rely on informed specification, design, implementation, assessment, and application of appropriately selected RF coils. Transmit array RF coils with multiple transmit elements provide the additional degrees of freedom that can be used to enhance field uniformity, accelerate acquisition time, enable RF shimming while intending to mitigate SAR hotspots, and increase power efficiency. Transmit array's performance can gain considerably from the parallel transmission technology when the array designs meet particular specifications, such as low coupling among individual array elements and appropriate interaction with subjects under test to provide a sufficient B1+ field efficiency. |
| 17:30 | EM Modelling of Coils |
| Bastien Guerin | |
I will present some key tools for simulation of RF coils. First, I will review the three main types of EM solver: Finite difference time domain, finite element modeling and integral equation. I will introduce the co-simulation method, a powerful method for tuning, matching and decoupling of coil that requires a minimum number of EM solves. I will then present a simulation study that aims to find the ideal pTx coil for 3T body and head imaging. Finally, I will present our recent work on ultra-fast SAR calculation as the patient lies in the scanner for individualized SAR prediction. |
| 14:30 | How to Translate ML into the Clinic |
| Shreyas Vasanawala | |
Machine learning (ML) has the potential to impact strongly medical imaging. Though much attention has been focused on image analysis, ML is poised to improve imaging at all steps of the medical imaging chain. This presentation will provide an overview of the significant barriers to widespread translation of ML, the steps in the medical imaging chain at which ML can be applied, and examples of approaches that have enabled use in clinical settings. |
| 15:00 | How to Read/Write Machine Learning Papers in MRI |
| Alan McMillan | |
Machine and deep learning applications are taking our field by storm. Learn more about specific aspects that you should know about when reading and/or writing machine learning or deep learning papers. This talk covers existing reporting guidelines for AI papers and describes specific issues that should be considered by both readers and writers to ensure the development of robust and repeatable research. |
| 15:30 | Deep Learning in ML |
| Roger Tam | |
This lecture is an introduction to deep learning and will present the following topics: the components of a basic neural network, supervised training using backpropagation, basic features of a convolutional neural network, key considerations in the design and training of neural networks, and resources to get started. |
| 16:00 | Basic Introduction to ML |
| Jeffrey Fessler | |
Basic introduction to machine learning. |
| 16:30 | Adversarial Learning in ML |
| Elizabeth Cole | |
This talk motivates adversarial learning in ML from a MR researcher perspective. First, I’ll be briefly discussing some limitations of supervised learning. Next, I’ll be introducing a form of adversarial learning, generative adversarial networks – or GANs for short. Then, I’ll show how we can combine GANs with compressed sensing for the purpose of MRI reconstruction. Next, I’ll be showing some work on a fully unsupervised reconstruction method using GANs. Finally, I’ll discuss some practical considerations for those interested in training their own GAN. |
| 17:00 | Bayesian Approaches in ML |
| Archana Venkataraman | |
At its core, Bayesian ML is about making predictions from noisy and imperfect data. These predictions rely on the posterior distribution, which combines a priori assumptions about the unknown quantities with a likelihood model for the observed data. This tutorial introduces classical themes in Bayesian analysis. We will start with fundamentals of random variables and conditional distributions, building into the well-known “Bayes Rule”. From here, we will dive into hypothesis testing and parameter estimation, including how to perform inference in these setups. Finally, we will showcase a flexible and interpretable Bayesian model for functional connectomics. |
| 15:15 | Imaging the Aging Brain: Changes Across the Lifespan |
| Meike Vernooij | |
This lecture will describe typical structural brain changes seen on imaging studies in ageing. There is considerable overlap between patterns of brain pathology in ageing and neurodegeneration. Knowledge on changes in brain ageing is indispensable as a background against which to evaluate neurodegenerative disease. The ageing brain is likely affected by an accumulation of processes, the summation of which will lead to inter-individual differences in brain ageing, with some persons showing more ‘successful ageing’ than others. There is considerable research being conducted into understanding the biological basis for these differences. |
| 15:45 | Quantitative Imaging of the Aging Brain |
| Aviv Mezer | |
Quantitative MRI (qMRI) techniques provide biophysical parametric measurements that are useful in the investigation and diagnosis of brain agingqMRI measurements display sensitivity to microstructural properties such as lipid and protein composition, iron content and cellular organization, therefore qMRI is termed in-vivo histology. I will present novel qMRI approaches for disentangling molecular composition of lipid and iron samples and identify region-specific molecular signatures across the brain and as function of aging. I will argue that the ability to disentangle molecular alterations from water-related changes opens the door to a more specific characterization of age-realted neurodegenerative disorder in-vivo. |
| 16:15 | State-of-the-Art Structural & Functional Imaging of Alzheimer's Disease |
| Tammie Benzinger | |
In this program, we will review the critical role MRI plays in the the workup of patients with Alzheimer disease (AD), our understanding of the asymptomatic phases of disease progression, and the importance of an integrated spatial and temporal assessment of brain pathology with MRI and PET. We will discuss current and future clinical applications and clinical trials for AD. |
| 16:45 | State-of-the-Art Imaging of the Brainstem (locus coeruleus) in Aging and Alzheimer’s Disease |
| Heidi Jacobs | |
Autopsy data suggests that several brainstem nuclei undergo morphological and molecular changes very early in life, making them an interesting target for the early detection of neurodegenerative diseases. However, imaging these nuclei is not easy, given their size and location. In this talk, I will review the methods that are currently available to structurally image some of these nuclei at the individual level, show some first results and its potential to improve the early detection of Alzheimer's disease. In addition, I will discuss approaches to functionally image these brainstem nuclei, as well the challenges for the future. |
| 17:15 | State-of-the-Art Imaging of Movement Disorders |
| Duygu Tosun | |
Neuroimaging offers a non-invasive approach to examining the potential utility of a vast number of functional and structural brain characteristics as biomarkers. Neuroimaging has been used in Parkinson disease research for 30 years, but no guidelines have yet endorsed its routine use in clinical settings. We will focus on the role of multimodal neuroimaging in differential diagnosis, monitoring disease progression, and monitoring non-motor cognitive dysfunction. |
| 17:45 | Emerging Imaging Techniques in Dementia: The Role of PET-MRI & Novel Contrast Agents |
| Hongyu An | |
Various PET and MR imaging biomarkers provide complementary molecular, anatomical, physiological and functional information in studying dementia. As an example, we will demonstrate an association between PET measured neuroinflammation and MR measured white matter hyperintensity lesion burden. Moreover, we found that neuroinflammation predicted cognitive decline in a longitudinal follow-up study. Combined PET/MR imaging is well suited for studying dementia. Challenges in PET/MR attenuation correction (AC) have limited the inclusion of PET/MR in clinical trials. Recent deep-learning-based methods provide accurate PET/MR AC with high repeatability. |
| 18:15 | Emerging Imaging Techniques in Dementia: Evaluating the Glymphatic System |
| Laura Lewis | |
Waste clearance from the brain is important for maintaining healthy function, and disrupted clearance has been implicated in disorders such as Alzheimer’s disease. This educational lecture will focus on recent developments in MR techniques for imaging glymphatic function in the brain. It will highlight open scientific questions in this area and potential future applications in patients with neurodegenerative disorders. |
| 18:45 | Emerging Imaging Techniques in Movement Disorders |
| Maria Eugenia Caligiuri | |
In the last decades, MRI added value to diagnosing movement disorders has constantly increased. In this talk, the milestones and limitations of existing approaches are reviewed, emerging MR technologies for movement disorders are presented, and possible solutions to overcome existing limitations are proposed. The audience will learn to: i) describe the current status of imaging biomarkers in observational and interventional research of movement disorders; ii) describe advanced imaging techniques for diagnosis and management of movement disorders in a clinical and research environment/context; iii) identify appropriate imaging sequences to address given clinical questions in movement disorders |
| 15:15 | Making a Gradient Coil |
| Brian Rutt | |
This course outlines the various considerations involved in designing, building, assembling and testing a gradient coil prototype, from the perspective of an academic researcher. The following topics are reviewed during the course: 1) Why would you want to make your own gradient coil; 2) electromagnetic design considerations; 3) Preliminary construction considerations; 4) Mechanical design considerations; 5) Choice of materials; 6) Construction methods; 7) Testing and tuning. The lecture ends with a video showing the actual procedure of inserting a head gradient into a clinical whole-body 3T scanner and demonstrating the successful implementation of many of the concepts during the course. |
| 16:15 | High-Performance Gradient Hardware |
| Matt Bernstein | |
This educational talk introduces basics of high-performance gradient hardware. Gradient slew rate and amplitude are defined, and related to gradient lobe duration. How gradient coil inductance and resistance, along with driver voltage and current, determine performance parameters is presented, as well as how inductance scales with coil radius. The efficiency of whole-body, insert, and compact (head-only) geometries is considered. Some effects of physiological and non-physiological limitations on gradient performance are discussed. Selected corrections methods are considered in the context of high-performance systems. Finally, a few representative examples of high-performance gradient hardware are discussed. |
| 16:45 | The Role of PNS Simulation in Gradient Design |
| Mathias Davids | |
Peripheral Nervous Stimulation (PNS) has become the major limitation in many fast MRI sequences for state-of-the-art gradient systems. This educational talk provides an overview on how PNS modeling tools can inform the design phase of new gradient systems to maximize the safely usable image encoding performance. |
| 17:15 | Gradient Waveform Optimization & Applications |
| Daniel Ennis | |
Gradient waveform design is necessary for all MRI pulse sequences. While closed form (analytic) solutions exist for many useful problems and are wide implemented, there are a number of interesting problems for which numerical optimization methods are needed. This talk briefly distinguishes between the analytic and computational approaches to gradient waveform design, then describes a number of applications for which computational approaches provide added value. Four-dimensional phase-contrast (4D-flow) MRI is one example for which time-optimal gradient waveform design can improve overall sequence efficiency by ~20% or more. Diffusion weighted MRI can be optimized for SNR-efficiency and to mitigate eddy currents. |
| 17:45 | Non-Linear Encoding Fields & Integrated Shim Arrays |
| Gigi Galiana | |
There are several ways to understand the unique features of nonlinear spatial encoding, which has led to many different approaches and applications. These include interpretations invoking warped image space, projections onto curved isocontours, dynamically modulated kspace sampling, and modifiers to the point spread function. In addition to applications in accelerated imaging, these fields have found utility in improving slice excitation, as well as zoomed excitation and encoding. Most nonlinear encoding studies have been performed with relatively traditional gradient hardware, but the additional degrees of freedom offered by gradient and gradient/RF arrays offer many new possibilities. |
| 18:15 | Dealing with System Imperfections |
| S. Johanna Vannesjo | |
Accurate spatial and temporal characteristics of the encoding magnetic fields are crucial for image quality. However, there will always be slight imperfections to the magnetic fields produced by gradient and shim systems. This educational lecture describes how to characterize the spatial and temporal magnetic field response of gradient and shim channels, and how to implement pre-emphasis based on an LTI model of the system. |
| 15:15 | Physical & Physiological Principles of Relaxation |
| Sean Deoni | |
The process of relaxation underlies the differential tissue contrast that allows us to identify pathological tissue, detect changes in brain activation, or quantify blood flow. By understanding and exploiting relaxation differences between tissues, novel imaging sequences can be devised to null particular signals, probe tissue microstructure, and generate novel tissue contrast. In this presentation we will examine the biophysical and physiological bases of relaxation. With this knowledge in hand, we will then examine how tissue contrast may be manipulated, and how they may be used to more vigorously examine aspects of tissue macro and micro-structure, organization, and physiology and function. |
| 15:45 | Methods for T1 & T1rho Mapping |
| Nikola Stikov | |
With advances in hardware and the growing availability of post-processing tools, it is becoming easier and faster to obtain accurate T1 and T1ρ maps in clinically feasible times. This course shines a light on the three basic types of T1 mapping techniques, exemplified by inversion recovery, variable flip angle, and MP2RAGE. The course will also introduce techniques for quantitative mapping of the spin-locked relaxation time (T1ρ). T1ρ is closely related to both T1 and T2, but sensitive to different properties of the tissue, and has therefore garnered interest in specialized applications (e.g., cartilage imaging). Interactive tutorial available at: http://qmrlab.org/t1_book |
| 16:15 | Methods for T2 & T2* Mapping |
| Richard Dortch | |
Researchers have developed an array of methods for mapping T2 and T2* values in tissue. The choice of the method depends on numerous factors, including the signal model (single versus multi-compartment), scan time, SNR, and the tissue of interest. In all cases, care must be taken to optimize sequence parameters and minimize the impact of confounding features (B0 and B1 variations). Moving forward, it is likely that more efficient and robust methods for estimating T2 and T2* in tissue will continue to be developed, especially as multi-compartment models continue to illustrate their ability to quantify microstructural features (e.g., myelin content). |
| 16:45 | Methods for Multiparameter Mapping |
| Rahel Heule | |
This talk gives a technical overview about acquisition strategies suited to map longitudinal and transverse relaxation times simultaneously. Special focus is on fast joint T1 and T2 quantification based on three classes: multi-contrast steady-state free precession (SSFP) imaging, magnetization-prepared (MP) schemes with SSFP readout, and magnetic resonance fingerprinting (MRF) acquisitions. Possible acquisition strategies to enhance T2* sensitivity for simultaneous quantification of T1, T2, and T2* are introduced briefly as well. |
| 17:15 | Advanced Reconstruction Methods for Relaxation Parameter Mapping |
| Alessandro Sbrizzi | |
Classic relaxation parameter mapping sequences such as inversion-recovery (for T1) or multiple-echo spin-echo (for T2) are too long for clinical applications. By better exploiting structure and relationships (priors) in the spatial (or frequency) domain and in the sequence parameter domain it is possible to under-sample the acquisition thereby accelerating the scan times. More advanced modelling strategies (e.g. time-domain) leads to further acceleration. However, the reconstruction algorithms gets more complex and computationally demanding. Deep learning strategies could overcome these drawbacks. |
| 17:45 | Dedicated Cardiac Parameter Mapping Methods |
| René Botnar | |
Despite the current success of myocardial tissue characterization with parametric mapping approaches, the accuracy and precision of T1, T2, T2* and ECV mapping can be affected by many confounding factors such as B0 and B1 inhomogeneity, respiratory and cardiac motion, heart rate variability, magnetisation transfer and other parameters. Moreover, estimation of T1, T2 and T2* is usually done by pixel-wise fitting of the MR signal to simple exponential models that may be an oversimplification of the true MR signal evolution. Here we will review the basic myocardial mapping techniques, discuss their pros and cons and subsequently discuss potential solutions. |
| 0:00 | How to Analyse Your Physiological MRI Data: Arterial Spin Labelling |
| 17:00 | Fundamentals of Diffusion |
| Marco Palombo | |
This lecture introduces key concepts behind the physics of dMRI signal contrast, and motivate why these concepts are relevant in the context of quantifying tissue microstructure. Following this lecture, researchers and clinicians who are interested in understanding the basics of molecular diffusion, will gain intuition on the diffusion process as conceptualised by random-walks of particles, familiarise with representing the diffusion process by the diffusion propagator, understand the regimes in which the diffusion can and cannot be considered Gaussian and understand how these concepts are relevant in the context of tissue microstructure. Hands-on exercises will give intuition into the concepts discussed. |
| 17:30 | Diffusion MRI: Acquisition |
| Jana Hutter |
| 18:00 | Diffusion MRI: Models & Representations |
| Chantal Tax |
| 18:30 | Microstructure Modeling |
| Hong-Hsi Lee | |
Diffusion MRI enables to estimate microstructural length scale in cell dimension. Here we introduce three common examples in biophysical modeling of diffusion MRI: (1) Considering diffusion dephasing as transverse relaxation due to field inhomogeneity of applied diffusion gradient, intra-cellular signals mainly depend on gradient pulse duration in wide pulse limit. (2) The diffusion time-dependence in a heterogeneous medium is a process of spatial homogenization of restrictions, leading to power-law tails in diffusivity time-dependence. (3) Directional average of signals for each diffusion weighting b and the analysis of its deviations from 1/√b scaling provides a rotationally invariant axon size estimation. |
| 9:00 | How to Analyse Your Physiological MRI Data: CEST |
| 13:00 | Liver: Iron Quantification |
| Suraj Serai | |
Serial surveillance of liver iron concentration (LIC) provides guidance for chelation therapy in patients with iron overload. The diagnosis of iron overload traditionally relies on core liver biopsy, which is limited by invasiveness, sampling error, cost and general poor acceptance by patients and their family. Thus noninvasive diagnostic methods such as MRI are highly attractive for quantification of liver iron concentration (LIC). In this talk, we discuss and review the MRI based quantification methods of LIC. |
| 13:30 | Liver: Fibrosis Quantification |
| Verena Obmann | |
Plenty of etiologies of diffuse liver disease eventually result in liver fibrosis. Liver fibrosis is exceedingly common worldwide prompting the clinical need for objective noninvasive methods for disease characterization as an alternative or complement to gold-standard liver biopsy. The learning objectives of this educational session are • To summarize qualitative imaging findings of liver fibrosis in US, CT and MRI • To know the advantages and drawbacks of each modality • To learn how to report the presence of liver fibrosis |
| 14:00 | Liver: Fat Quantification |
| S. Sendhil Velan | |
This presentation will cover the MRI/MRS-based techniques for the quantification of liver fat. Specifically, this presentation will include relevant MRI/MRS techniques, types of pulse sequences utilized in a clinical setting, challenges, and finally, the state of the art of development and validation of MRI-based approaches for quantification of liver fat. |
| 14:30 | Case Discussion: Liver |
| Mustafa Shadi Bashir | |
This talk will discuss the use of MRI-based quantitative biomarkers in the care of patients with liver diseases. |
| 15:00 | Bladder: VI-RADS |
| Valeria Panebianco | |
The purpose of the talk is to describe the newly developed VI-RADS scoring system aimed at standardization of MRI acquisition, interpretation, and reporting for urinary bladder cancer (BCa). An insight will be given on the BCa diagnostic issues, MRI applications for BCa local staging with assessment of muscle invasiveness, and clinical implications of the score for the disease management. In addition, future prospective of the score applicability will be provided, on its role in patients’ stratification for therapeutic planning, disease surveillance, and for the evaluation of response to therapy. Finally, a clinical series with multiple-choice questions will be shown. |
| 15:30 | Case Discussion: Genitourinary |
| Caroline Reinhold |
| 16:00 | Kidney: Bosniak |
| Matthew Davenport | |
Bosniak v.2019 is a classification of cystic renal masses that formally incorporates MRI, provides verbose specific definitions for imaging terms, and expands the number of masses to which the historic Bosniak classification applies. The intent of the classification update was to improve specificity for malignancy and improve inter-rater agreement, with the goal of reducing the harms of overdiagnosis and overtreatment. |
| 16:30 | Ovary: O-RADS |
| Isabelle Thomassin-Naggara | |
This lecture will present O-RADS MR score which was developed to predict malignancy of adnexal masses. This score is an accurate five level categories score that demonstrates a sensitivity and specificity higher than 90% and a good reproducibility (Kappa >0.8). In a multicentric european large validation cohort, only 2 borderline and no invasive cancer were quoted O-RADS MR score 2 (NPV = 98%). This score is mainly based on the analysis of solid tissue using morphological and functional criteria including T2W signal, DW signal and the analysis of time intensity curve on DCE MR sequence. |
| 13:00 | Basic Principles of MRS (Chemical Shift, J-Coupling, Relaxation & Field Strength Effects) |
| Ulrike Dydak | |
This lecture introduces the basic principles of MR Spectroscopy. Concepts such as chemical shift, J-coupling, the ppm-unit of the frequency axis, basic acquisition requirements and spectral resolution are explained. Furthermore, the effects of relaxation and field strength on the MR spectrum are discussed. |
| 13:30 | Acquisition Methods (PRESS, STEAM, semi-LASER, MEGA-PRESS, MRSI) |
| Ralph Noeske | |
This lecture will cover the most common MRS volume localization techniques PRESS, STEAM and semi-LASER that are based on overlapping slices for improved volume selection. The design of techniques for unwanted signal suppression like an appropriate crusher scheme and phase cycling as well as how to address the chemical shift displacement error are explained. The principle of the MEGA extension of PRESS for selective metabolite editing will be shown. Following consensus recommendations, the implementation of a standardized semi-LASER sequence addressing the previously discussed requirements is demonstrated. |
| 14:00 | Pre-Acquisition Ajustments (B0 Shimming, B1 Shimming & Water Suppression) |
| Ivan Tkac | |
Pre-acquisition adjustments in 1H MRS are essential precondition that directly affects the quality of acquired spectra, which is the key factor for reliable metabolite quantification. B1 shimming is used only for ultra-high magnetic fields (7T and above) to maximize the peak B1+ in the region of interest. B0 shimming is the adjustment of magnetic field spatial homogeneity, which is the key factor affecting the spectral resolution. Efficient water suppression (WS) is very important because the strong residual water signal may interfere with metabolite quantification. Two WS techniques are discussed: VAPOR and metabolite cycling. |
| 14:30 | Fitting & Quantification |
| Ashley Harris | |
This educational talk overviews some recommended preprocessing steps and then examines fitting and quantification for MR spectroscopy data. Preprocessing (or processing) aims to optimize the quality of acquired data. The next step is “fitting”. As we know the area under a peak is proportional to its concentration, fitting consists of modeling each peak in order to determine its area as well as the area of the reference metabolite or water. Once we have the data fit, quantification can be performed, typically using water as a reference and in the most complete approach accounts for relaxation in all tissue components. |
| 15:00 | Quality Assessment for 1H MR spectroscopy of the brain: Artifacts, Solutions, and Criteria |
| Yan Li | |
The accuracy of measuring brain metabolite levels highly relies on spectral quality. Assurance of quality control is required for translating proton MR spectroscopy (1H MRS) technologies into clinical studies. This lecture focuses on the basics of MRS methodology, artifacts with their causes and possible solutions, and quality control for single and multi-voxel 1H MRS. |
| 15:30 | Field Dependence: Gains & Challenges of Ultra-High-Field MRS |
| Vincent Boer | |
There is a drive towards increasing magnetic field strength for MRI. In this lecture we cover the main gains at ultra-high field, specifically for MR spectroscopy. Also, the major drawbacks are discussed, including changes in relaxation time and difficulties with B0/B1 field homogeneity. |
| 16:00 | MRSI Readout Strategies (Echo-Planar [EPSI] & Spiral-MRSI) |
| Borjan Gagoski | |
This talk covers the basics of MRSI readout strategies, by first introducing the conventional, phase-encoded scheme, which requires long acquisition times to encode the (kx,ky,kz,kf) space. It then introduces the idea of simultaneous spectral-spatial encoding within the same TR, made possible by the fact that the brain metabolites span only limited spectral bandwidth (e.g. ~1000Hz @3T). It continues with a description of two classical readout schemes that accelerate PE MRSI using this concept: 1. echo-planar and 2. spiral spectroscopic imaging. Lastly it shows how these two can be further accelerated using standard parallel imaging reconstruction methods like SENSE and/or GRAPPA. |
| 13:00 | Hyperpolarized 13C: Principles & Clinical Applications |
| Mary McLean | |
Hyperpolarization of 13C can transiently increase its signal around 100,000 fold. This enables tracer studies in vivo of 13C-labelled metabolites with high time resolution. The polarization decays with a T1 of around 30 s, necessitating innovations in hardware, sequences, and study design to capture the signal within its short longevity. The first tracer molecule taken into humans has been [1-13C]pyruvate. Metabolism to lactate, alanine, and bicarbonate has been shown in human brain, heart, muscle, and abdominal organs. Much interest has focused on studies in cancer, where elevations in lactate labelling related to the Warburg effect can be observed. |
| 13:30 | Basic Understanding & Clinical Applications of 23Na-MRI |
| Sandro Romanzetti | |
Sodium is the second most abundant MR active nucleus in the human body and it has a fundamental role in the physiology of human cells. Nevertheless, its low concentration and quick relaxation have limited its application in medicine for a very long time. Research from the last two decades has shown that sodium MRI is no longer a novel MR method. Most of the challenges associated with its application have been addressed. Furthermore, the increasing availability of ultra-high field MR systems (UHF-MRI) in clinical settings has opened new horizons for many medical applications of Sodium MRI. |
| 14:00 | Deuterium Metabolic Imaging (DMI) |
| Xiao-Hong Zhu | |
Metabolic imaging provides valuable tools for evaluating cellular metabolism under physiopathological conditions. Deuterium metabolic imaging (DMI) is a newly developed deuterium (2H) MRS imaging technology that can measure the steady-state signal and/or dynamic changes of deuterated metabolites in living organs or tissues after administration of deuterium-labeled substrate. DMI has been used to study various metabolic processes, especially the cerebral glucose metabolism in healthy brain and in brain tumor patients, and has shown its advantages over certain existing methods. This presentation will briefly introduce DMI technology - its past development, current capabilities and future prospects. |
| 13:00 | Multimodal Imaging |
| Mangala Srinivas | |
This is a short introduction to multimodal imaging, covering the combination of MRI with other modalities, such as PET, SPECT and/or fluorescence. We will focus on cell tracking applications in a preclinical setting. |
| 13:30 | Imaging & Immune Cell Therapy in Cancer |
| Hai-Ling Cheng | |
Immune cell therapy is an important approach in the broader repertoire of cancer immunotherapy, a new treatment that uses the body’s immune system to fight cancer in a more personalized and effective manner. Injecting immune cells such as chimeric antigen receptor T cells has shown prolonged survival. However, in-vivo cell distribution and survival are often unknown and may underlie why immunotherapy sometimes fails. We will review current methods for tracking immune cells, their limitations, and a potentially larger role for MRI. We will also briefly discuss imaging assessment of tumor response to correctly identify pseudoprogression, an immunotherapy-specific phenotype. |
| 14:00 | Targeted Contrast Agents |
| Mark Pagel | |
This presentation will focus on targeted contrast agents for molecular imaging with MRI. Key concepts include |
| 14:30 | Imaging Tissue Microstructure |
| Sungheon Gene Kim | |
Diffusion MRI is a unique imaging modality suitable for probing tissue microstructure. Unlocking the full potential of diffusion MRI for microstructural imaging requires an adequate diffusion encoding method in terms of diffusion time and gradient strength. dMRI Diffusivity is typically interpreted as a rough measure of the cell density and extracellular water fraction. However, diffusivity and other commonly used dMRI metrics remain non-specific markers, because a diffusion measurement at a fixed diffusion time is affected by multiple factors. The complex microstructural features of tumors and the brain can be probed by adequate sampling of the multi-dimensional space of diffusion encoding. |
| 15:00 | Imaging in Regenerative Medicine |
| Erik Shapiro | |
This educational lecture will provide a multimodal view of imaging in regenerative medicine. Indeed, the vastness of regenerative medicine requires a complete toolbelt to properly survey the completeness of research and development topics, and clinical methodologies for following treatments. This lecture will survey the uses of multimodal imaging in regenerative medicine, focusing on the benefits of individual imaging methodologies for probing specific research and development questions, and will provide my opinion on how these various imaging technologies might be used clinically. |
| 15:30 | Physiological & Metabolic Imaging |
| Kristine Glunde | |
Multimodality molecular imaging applies imaging modalities beyond visualizing anatomy and morphology to include the ability of imaging disease-specific biomolecules and pathways in cancer, cardiovascular disease, and inflammation, among others. Imaging modalities used in physiological and metabolic imaging are computed tomography (CT), magnetic resonance imaging (MRI), magnetic resonance spectroscopic imaging (MRSI), optical imaging, positron emission tomography (PET), single-photon-emission computerized tomography (SPECT), and ultrasound (US). |
| 16:00 | Artificial Intelligence & Machine Learning Methods in Preclinical Imaging |
| Simon Walker-Samuel |
| 13:00 | Quantitative Imaging Biomarkers |
| Caroline Chung | |
This educational session will review the definition of a quantitative imaging biomarker and review clinical applications and opportunities for quantitative imaging biomarkers, including the utility for disease detection, biological and physiological characterization of tumor and normal tissues as well as treatment response assessment and prediction. The critical steps required for the development and deployment of quantitative imaging biomarkers will be reviewed using the oncology application as an example. |
| 13:30 | Perspectives on classification of 2D and 3D medical images |
| Krzysztof Geras | |
Although deep neural networks have already achieved a good performance in many medical image analysis tasks, their clinical implementation is slower than many anticipated a few years ago. One of the critical issues that remains outstanding is the lack of explainability of the commonly used network architectures imported from computer vision. In my talk, I will explain how we created a new deep neural network architecture, tailored to medical image analysis, in which making a prediction is inseparable from explaining it. I will demonstrate how we used this architecture to build strong networks for breast cancer screening exam interpretation. |
| 14:00 | Fat-Water Imaging: Fat Quantification |
| Houchun Hu | |
The quantification of body adiposity and organ fat has become an important tool in physiology, obesity, and metabolism research. Proton-based MRI methods, namely chemical-shift-encoded water-fat imaging techniques, and the associated proton-density-fat-fraction biomarker, have emerged as popular methods in recent years. These techniques generate informative visualizations of regional and whole-body fat distributions, yield measurements of fat volumes within specific body depots, quantify fat accumulation in abdominal organs and muscles, and even estimate unsaturation levels of triglycerides in adipose tissue. In this presentation, a summary of mainstream fat quantification will be given, highlighting common clinical applications in longitudinal and cross-sectional studies. |
| 14:30 | Diffusion-Weighted Imaging |
| Benjamin Ellingson | |
Diffusion weighted imaging (DWI) is a magnetic resonance (MR) technique for estimating microstructural integrity and organization by quantifying the random, intravoxel incoherent motion of water protons. Restriction and/or alterations in water diffusion within the brain and other organs have been found useful for characterizing and monitoring disease processes and therapeutic responses to a number of pathologies and disorders. The current lecture will cover the fundamental physics, practical set-up, and quantification techniques using the basic DWI experiment, then end with a short discussion of clinical applications and advanced techniques at the cutting-edge of DWI research. |
| 15:00 | MR Relaxometry & Fingerprinting |
| Jesse Hamilton | |
This presentation will provide an introduction to relaxometry and Magnetic Resonance Fingerprinting (MRF). In the first half of the talk, we will cover conventional parameter mapping techniques and discuss several state-of-the-art non-fingerprinting approaches for multiparametric mapping. During the second half, we will provide an overview of MRF including pulse sequence design, k-space data sampling, dictionary generation, and pattern matching. Special topics will also be presented, including approaches to correct for confounding factors, dictionary compression, novel low-rank and deep learning reconstruction methods. |
| 15:30 | Dynamic Contrast-Enhanced MRI |
| Mirjam Broeckmann | |
Dynamic contrast enhanced MRI (DCE-MRI) is a completely established method for tumor assessment. Technically it is a series of T1w images acquired before and after contrast agent administration. DCE-MRI visualizes tumor vascularisation and neoangiogenesis. Trade-off between high spatial and high temporal resolution is crucial. Evaluation is made visually or in a semi-quantitative manner, for clinical trials also via a full quantitative model. Rapid wash in and early wash out are the most suspicious findings for malignancy. Possible alternatives are Dynamic Susceptibility Contrast (DSC), Arterial Spin Labeling (ASL) and Dynamic Contrast Enhanced Computer Tomography DCE-CT. |
| 16:00 | MR Spectroscopic Imaging |
| Michael Thomas | |
Since its validation in the 1980’s, numerous applications of Magnetic Resonance Spectroscopy (MRS) have been demonstrated in monitoring human tissue metabolites and lipids non-invasively. After recording the anatomical MR images, image-guided localization of volume-of-interest (VOI) and signal acquisition have been accomplished. Phase-encoding gradients can be included into the VOI localization techniques such as PRESS, STEAM, FID and more to record MR Spectroscopic Imaging (MRSI). Longer duration of MRSI can be shortened using echo-planar spectroscopic imaging (EPSI), SI using concentric ring trajectories (SI-CONCEPT), spiral and radial MRSI. In this presentation, we will review these historical developments in assessing tissue biochemistry non-invasively. |
| 16:30 | Multiparametric MRI of the Breast: Case Studies |
| Maria Adele Marino | |
MRI of the breast is a very important technique in breast imaging. The combination of multiple techniques, such as dynamic contrast-enhanced (DCE) MRI, T2-weighted and diffusion weighted imaging (DWI) within the same examination is called multi-parametric MRI (mpMRI). mpMRI protocol interrogates different characteristics of breast tumor and with the combined information an improved diagnosis and characterization of breast tumors is facilitated. Advanced functional techniques are currently being investigated for its clinical value and potential integration in a multiparametric MRI protocols. A case-based presentation will be offered to let the audience familiarize with the most used multiparametric breast MRI protocols. |
| 13:45 | BI-RADS Mass |
| Pascal Baltzer |
| 14:15 | Breast MRI for Treatment Response |
| Fiona Gilbert | |
Neoadjuvant chemotherapy is standard of care in women who are found to have clinical stage T2-4 N0 breast cancer or any T1-3 with HER2 positive breast cancer. Although ultrasound is frequently used in clinical settings MRI has been shown to be the most accurate technique in monitoring response and is used in measurement of initial volume and for assessing response. Residual disease can be over or underestimated in around 20% of cases. DWI and ADC are used in early measures of response as well as pharmacokinetic measurements such as ktrans. |
| 14:45 | Beyond BI-RADS |
| Laura Martincich | |
DWI when associated with DCE-MRI may improve the diagnostic accuracy of the examination. |
| 15:15 | Breast MRI for Screening |
| Ritse Mann | |
The use of breast MRI for screening enables earlier detection of relevant breast cancer than with other imaging techniques (particularly mammography). It has been initially tested in women with a very high (hereditary) risk for the development of breast cancer, but indications are expanding and now may include, for example, women with a personal history of breast cancer and women with very dense breasts. To optimize the value of MRI for screening the use of dedicated screening protocols and optimized hangings is required. |
| 15:45 | Understanding the Commonly Used Sequences of Breast MRI |
| Min Sun Bae | |
This course will outline the commonly used sequences of breast MRI, along with emerging and novel techniques. Standard breast MRI includes T2-weighted imaging, precontrast T1-weighted imaging, and dynamic contrast-enhanced T1-weighted imaging. Abbreviated MRI of the breast includes one precontrast and one postcontrast T1-weighted sequences and maximum intensity projection. Abbreviated MRI shows promise for breast cancer screening, as it can reduce the examination time and the interpretation time as well as the cost associated with MRI studies. Multiparametric MRI, including DWI and ultrafast imaging, has a potential to improve diagnostic accuracy. |
| 16:15 | Management of High-Risk Patients & Implant Imaging |
| Wendy DeMartini | |
Breast MRI is an important tool, with applications including screening asymptomatic women at high risk for breast cancer, and assessment of silicone breast implants for rupture or other complications. MRI use and outcomes for high risk screening and implant assessment will be reviewed. |
| 16:45 | BI-RADS Non-Mass Enhancement |
| Masako Kataoka | |
This talk first explains the definition of non-mass enhancement (NME), as an area that is neither a mass nor a focus. Internal enhancing characteristics of NME are discrete from the normal surrounding background parenchymal enhancement. NME is described in terms of “distribution” and “internal enhancement patterns”. Linear and segmental distribution, with heterogeneous and clustered ring enhancement are associated with malignant lesions. Various lesions and conditions present as NME. Malignant lesions include ductal carcinoma in situ (DCIS), intraductal component of invasive carcinoma, and invasive lobular carcinoma. Benign lesions include fibrocystic change. These knowledge helps to diagnose lesions presenting as NME. |
| 17:15 | Category & Management Based on BI-RADS (Case-Based) |
| Maria Adele Marino | |
MRI of the breast has been established worldwide as a highly accurate imaging modality for breast cancer management in both the symptomatic and screening setting. The Breast Imaging Reporting and Data System (BI-RADS) lexicon contains a structured common language for interpretation and reporting of mammography, ultrasound, and MRI facilitating the communication among physicians through the use of a standardized terminology. The MRI BI-RADS lexicon includes a variety of features from lesion morphology, such as margins, to functional contrast enhancement kinetics. The aim of this talk is to show the basics of the use of BI-RADS on breast MRI. |
| 13:45 | Utility of MRI as a Molecular Imaging Modality |
| René Botnar | |
Molecular imaging promises to provide information on molecular and cellular alterations that precede anatomical or functional disease manifestation. Molecular imaging thus may help to detect pre-symptomatic sub-clinical disease, provide information on molecular markers for targeted drug treatment and improve monitoring of treatment response by visualising the effect of drugs or interventions both at the molecular and anatomical level. In this presentation I will discuss the potential of MR molecular and non-molecular imaging for the non-invasive detection of early and advanced atherosclerosis, and I will discuss the potential of non-molecular MRI and other imaging modalities for cardiovascular risk assessment and prediction. |
| 14:15 | Molecular Imaging Basics: Relaxation-Based Contrast Agents |
| Thomas Meade |
| 14:45 | Molecular Imaging Basics: CEST Contrast Agents |
| Kannie WY Chan | |
Chemical exchange saturation transfer (CEST) MRI has shown many promising biomedical applications. Many natural compounds and clinical agents have inherent CEST contrast. This course will cover the basic principles of CEST and CEST contrast agents, focusing on non-metallic exogenous contrast agents. Target audience: Students, researchers and physicians who are interested in using CEST contrast agents in their applications. |
| 15:15 | Molecular Imaging Applications: Cancer |
| Michal Rivlin | |
Molecular Imaging is a growing biomedical research discipline that enables understanding complex pathological processes much earlier than they would be detected using conventional imaging techniques. Recent advances in molecular imaging technologies may assist in providing useful information regarding tumor metabolism and its microstructural changes. This presentation will discuss recent applications in molecular imaging of cancer, such as hyperpolarization, the use of nanoparticles, and CEST agents. The last is emerging as an attractive approach with the capability of generating quantitate contrast of tumors. Hence, useful CEST MRI applications such as APT, glucose and its analogs, pH imaging, etc., will be presented. |
| 15:45 | Molecular Imaging Applications: Cardiovascular |
| William Watson | |
There are many molecular applications emerging in cardiac MR which give us useful research and clinical insights. 31-phosphorus magnetic resonance spectroscopy demonstrates relative amounts of ATP and Phosphocreatine, showing energy metabolism. Proton spectra can demonstrate cardiac lipid build up or total creatine levels. 31-carbon spectroscopy can be used with dynamic nuclear polarisation to demonstrate metabolism of carbon containing compounds, typically pyruvate in showing up glucose metabolism. 31P MRS has demonstrated to us PCr depletion in heart failure and on exercise in states where energy supply is limiting. 13C shows reduced glycolysis and may be useful in ischaemia imaging. |
| 16:15 | Molecular Imaging Applications: Neurological |
| Robia Pautler | |
In this presentation, some important aspects to consider when performing Molecular Neuroimaging Studies will be presented. The topics covered in this presentation range from anesthesia choices, awake mouse imaging, contrast agents, cell labeling, 19F studies, contrast agent delivery methods and also validation studies. Clinical as well as preclinical aspects are covered for each topic. The intended audience includes clinicians and basic researchers with a basic or intermediate level of understanding of molecular neuroimaging. |
| 16:45 | Imaging Immune Cells |
| Paula Foster |
| 17:15 | Clinical Translation of Molecular MR Techniques |
| Uwe Himmelreich | |
When compared to other molecular imaging methods like PET, MRI/MRS-based techniques are less frequently used in clinical practice. This is partly due to the low sensitivity, in particular for MR spectroscopic methods. On the other hand, molecular MR imaging techniques that require contrast agents, depend on often lengthy regulatory procedures for their clinical approval. The application of hyperpolarized agents is still inhibited by its relatively complex procedure for daily use in the clinic. For a broad clinical use of molecular MRI and spectroscopy, it is necessary that the respective MR technique is without alternative to answer a particular clinical question. |
| 13:45 | Why MRI Below 100 mT? Low-Cost, Portable & Application-Specific Systems |
| Andrew Webb | |
MRI systems are expensive to purchase, site, maintain and operate. This results in MRI playing a limited and last-stage role in healthcare in the developed world, and being essentially unavailable in the majority of developing countries. Lower total costs could change its fundamental role in healthcare, e.g. enabling MRI screening, portability increase the number of potential applications, and finally lower costs and more flexible designs enable systems which are application-specific, rather than one-size-fits-all, to be produced. This talk will discuss the design and performance of systems based on permanent magnets, with low-cost electronics and 3D printed components. |
| 14:15 | Breaking MRI Out of Radiology: Clinical Experience & Potential for Portable & Point-of-Care Low-Field MRI |
| Kevin Sheth | |
Over the past several years, we conducted the first known deployment of a portable low field MRI in the clinical care setting at the Yale Neuroscience Intensive Care unit. This experience is the first in portable, point-of-care MRI for acute brain injury. Doing so represents a change in paradigm – moving the scanner to the patient rather moving the patient to the scanner. |
| 14:45 | Contrast, Signal & Noise at Very- & Ultra-Low Versus High Field Strengths |
| David Lurie | |
In recent years, there has been renewed interest in low-field (0.2 T to 0.5 T) and very-low-field (<0.2T) MRI, for many reasons including lower cost, ease of siting, reduced hazard, portability, lower artefacts and enhanced endogenous contrast. The source of signal and its field dependence will be introduced, followed by the sources of noise (coil noise and patient noise), leading to the signal-to-noise ratio (SNR) and its dependence on magnetic field. Finally, the behaviour of contrast as a function of field will be explored, concentrating on contrast between brain grey and white matter. |
| 15:15 | Low-Field Versus High-Field Hardware: Magnets, Coils & Spectrometers |
| Yasuhiko Terada | |
This talk will review the hardware of low-field MRI. The trend is to reduce the size, weight, and cost of the overall system, targeting point-of-care medicine. The Main magnet is either sparse Halbach array permanent magnet, which reduces the weight at the expensive of reduced homogeneity, or biplanar electromagnet, which have a relatively simple geometry. For pre-polarized MRI, a strong electromagnet is used for pre-polarization. For signal detection, an RF coil is preferred in the high frequency range, while SQUID sensors are used in the low frequency range. A customized, low-cost open-source console may be sufficient for low-field MRI. |
| 15:45 | Translating Advanced Sequences & Reconstructions from High-Field to Low-Field |
| Neha Koonjoo | |
MR Imaging at low field (LF) suffers from low SNR due to intrinsically low Boltzmann polarization. As a result, long acquisition times are needed to accommodate the additional signal averaging required to attain sufficient SNR. In the aim of improving SNR at LF, efficient pulse sequences, efficient radiofrequency (RF) coil designs and new image reconstruction methods are required. In this talk, we will discuss how refocused pulse sequences and have enabled high-quality LF imaging. On the reconstruction side, a noise-robust image reconstruction approach AUTOMAP was implemented with a deep neural network architecture so as to further increase sensitivity at LF. |
| 16:15 | SAR Is No Object: Alternative Spatial Encoding Strategies for Low-Field MRI |
| Gigi Galiana | |
Low field and portable scanners have spurred a broad reimagining of spatial encoding in MRI. Many designs still use B0 variation as the primary source of spatial encoding, but these span a broader range of switchable and permanent magnet sources, with both linear and nonlinear spatial variation. In addition, the enormous reduction in SAR at low field has opened many possibilities for RF encoding, including methods based on hardware geometry, complex RF waveforms, and Bloch-Siegert evolution with hardware that allows continuous frequency encoding. Advanced reconstruction methods also play a larger role in low field imaging. |
| 16:45 | More Than Just Open Magnets: Resources & Opportunities for Open-Source Hardware & Software in Low-Field MRI |
| Lukas Winter | |
Open Source Soft- and Hardware development of scientific MR methods in the construction of low-field MR technology has gained tremendous speed over the last years. As of today, it is possible to build an entire low-field MR system mostly relying on Open Source Software and Hardware designs. This is encouraging, since transparency, reproducibility and non-exclusive sharing of results are the core scientific values driving innovations and impact. In this presentation the current progress of open source low-field MR development is displayed: From pulse sequence to pulse generation hardware, amplifiers, magnets, RF and gradient coils. |
| 17:15 | Coil Demo: What's Different About Low-Frequency Coils? |
| Charlotte Sappo | |
This talk gives an overview of some of the differences between high and low field coil considerations. The direction of the main magnetic field, often pointing either vertically or horizontally, allows us to use a solenoid, gaining a significant sensitivity boost. In this talk a demo is provided to show the winding, tuning and matching process, and general setup for constructing a solenoid. Additionally, examples of commercial and in-house built RF coils are shown that are in use on various low field systems. |
| 13:45 | Parallel Imaging |
| Kathleen Ropella-Panagis | |
Parallel imaging refers to a set of techniques used to accelerate MRI acquisitions. Parallel imaging experiments include (1) a reduced amount of acquired k-space data to decrease scan time, (2) multi-channel RF coils for spatial encoding, and (3) a reconstruction algorithm. This talk covers three common parallel imaging reconstruction algorithms: SENSE, GRAPPA, and SPIRiT. Acceleration factor and SNR are also discussed. This presentation includes a MATLAB app to explore parallel imaging. |
| 14:15 | Reconstruction of Non-Cartesian Data |
| Jakob Assländer | |
Today, most clinical scans are performed with Cartesian k-space sampling due to its robustness and ease to implement acquisition and reconstruction. However, there are numerous reasons to use non-Cartesian sampling methods, reasons that range from robustness to motion and flow, to less intrusive undersampling artifacts and more beneficial properties for advanced image reconstruction methods such as compressed sensing. This lecture covers the basics of image reconstruction with the non-uniform FFT. The talk itself discusses the concepts and the underlying theory and is accompanied by exercises that can be done online in a browser (see syllabus for details). |
| 14:45 | Compressed Sensing |
| Claudia Prieto | |
Compressed sensing MRI reconstruction techniques have transformed the field and have been investigated in many clinical applications during the last decade to speed up MRI scans. This talk introduces the three key components of Compressed Sensing - sparsity, incoherence and non-linear reconstruction - and discusses how these key components are implemented in MRI. The combination of Compressed sensing with parallel imaging is briefly discussed. Current challenges of Compressed sensing are summarised and more recent developments in deep learning based reconstruction (proposed to overcome some of these challenges) are briefly introduced. |
| 15:15 | Learned Representations: Dictionaries, Subspaces, Manifolds |
| Ukash Nakarmi | |
Efficient representation is the key to reconstructing high-quality images from accelerated data acquisition in magnetic resonance imaging (MRI). In this talk, I will present the important paradigms in representation learning for accelerated MRI and how such representations can be used to solve ill-posed problems in MR image reconstruction. |
| 15:45 | Low-Rank & Structured Low-Rank Reconstruction Approaches |
| Mark Chiew | |
This talk will provide some intuition behind low-rank methods and an overview of the mechanics involved in reconstruction. We will first present some background on low-rank matrices, then cover general low-rank methods, and finally we will discuss structured low-rank methods. |
| 16:15 | Neural Networks in MR Image Reconstruction |
| Shanshan Wang |
| 14:30 | Antenatal Hydronephrosis with Fetal Intervention |
| Mark Sugi | |
Antenatal urinary tract dilation (UTD) occurs in 1-2% of fetuses and may be caused by multiple genitourinary anomalies, although mild forms are often transient. UTD can be detected as early as the first trimester as megacystis. Differential diagnosis for fetal UTD can be refined via assessment of the kidneys, ureters, bladder, sex, and amniotic fluid volume. Early detection allows for potential interventions aimed at increasing amniotic fluid volume to allow for critical pulmonary development. While UTD is often detected by ultrasound, fetal MRI has a role in further characterizing renal function and delineating the anatomy of complex urinary tract anomalies. |
| 15:00 | Neonatal/Pediatric MR Urography with Renal Perfusion |
| Cara Morin | |
MRU provides a thorough anatomic and functional assessment of the urinary tract in children, allowing detailed evaluation of the renal parenchyma, collecting systems and ureters, and the bladder, while also providing both static and dynamic functional information. As such, MRU has the potential to be contributory to the evaluation of a wide variety of pediatric urologic abnormalities. With new motion-robust dynamic post-contrast sequences, quantitative assessment of renal perfusion is becoming increasingly accessible as a clinical technique. |
| 15:30 | Antenatal/Neonatal Cystic & Solid Masses |
| TBD |
| 16:00 | Pediatric Neuroblastoma: Diagnosis & Staging |
| Alexander Towbin | |
Neuroblastoma is the most common extracranial soft tissue malignancy in children. In 2004, the International Neuroblastoma Risk Group (INRG) published a new staging system designed to standardize the presurgical staging of neuroblastoma. The INRG staging system developed a series of 20 different image-defined risk factors (IDRF) that confer additional surgical risk and upstage a patient from L1 to L2 disease. Radiologists should be familiar with the different IDRFs and the standard definitions used assess patients with neuroblastoma. |
| 16:30 | Antenatal MR Techniques: Congenital Heart Disease |
| David Lloyd | |
MR imaging of the fetal heart presents multiple challenges in terms of the small size of the heart and great vessels, fast fetal heart rate and uncontrolled fetal motion during acquisition. This presentation outlines the recent technical innovations designed to overcome these limitations, with referenced examples of static 2D and 3D imaging, as well as time resolved 3D data and even 4D flow sequences. Future developments are also discussed as well as current and future clinical applications. |
| 17:00 | Neonatal/Pediatric Cardiac 4D Flow & Fractional Flow Reserve |
| Joshua Robinson |
| 17:30 | Antenatal Spinal Pathology with Fetal Surgical Intervention |
| Usha Nagaraj | |
This talk will review the pathology of open spinal dysraphism and Chiari II malformation, the current surgical techniques for repair and the imaging criteria for fetal surgery. Relevant imaging findings on fetal and postnatal MRI in this population will be reviewed. |
| 18:00 | Neonatal/Pediatric Spinal Pathology |
| TBD |
| 14:30 | ASL: Acquisition & Analysis in the Brain |
| David Thomas | |
ASL is a non-invasive MRI method for quantitative mapping of cerebral blood flow (CBF). In this talk, I describe the two main categories of ASL – pseudocontinuous (pCASL) and pulsed (PASL) – and explain how the images acquired using these different acquisition schemes can be converted into CBF maps, using a general tracer kinetic model. I describe how ASL data can be acquired with either single or multiple inflow delay times, and the pros/cons of these two approaches. Lastly, I discuss some practical considerations (imaging method, background suppression) which also affect the quality and accuracy of ASL CBF maps. |
| 15:00 | ASL: Acquisition & Analysis in the Body |
| Susan Francis | |
This lecture will outline Arterial Spin Labelling acquisition and analysis methods used in body applications. The considerations for ASL acquisition in terms of labelling schemes and post-label delay, image readout, and methods to reduce motion effects for body ASL are discussed. Analysis methods used in the body applications to account for transit delays and correct for motion will be discussed. The application of ASL MRI across various body organs will be outlined including the kidney, placenta, pancreas and liver, and heart, with clinical applications highlighted. |
| 15:30 | ASL: Clinical Applications of ASL |
| Jeff Winter | |
Arterial spin labeling (ASL) is emerging as a valuable tool for various clinical applications primarily in the brain, but also in the body. In this session, we will review key clinical applications, including stroke, cerebrovascular disease, neurodegeneration, neuro-oncology as well as renal applications. We will highlight how both cerebral blood flow as well as transit time effects can be used in different clinical applications. Lastly, we will highlight challenges and recent initiatives to increase adoption of ASL perfusion imaging in the clinic. |
| 16:00 | DCE-MRI: Acquisition |
| Caroline Chung | |
This educational session will review the workflow components of Dynamic Contrast-Enhanced MRI acquisition and will provide an overview of the recommendations and discussions included in the DCE-MRI Quantification Profile of the Quantitative Imaging Biomarker Alliance of the Radiological Society of North America, which has recently wrapped up its public comment phase. This version 2.0 profile update specifically aims to address issues and challenges to consider with 3T MRI and parallel imaging. |
| 16:30 | DCE-MRI: Analysis |
| Lucy Kershaw | |
Analysing DCE-MRI data can be time-consuming and complex. In this session, the process will be broken down into steps whilst highlighting potential pitfalls. Analysis and acquisition are closely linked but we will start from the position of having acquired anatomical images, T1 maps and the dynamic series, and assume that analysis will be done using python, matlab etc. We will then cover:
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| 17:00 | DSC-MRI: Acquisition |
| Greg Cron | |
This short talk focuses on the bare-bones basics of DSC-MRI acquisition. We will look at the relationship between MRI signal and Gadolinium concentration in a qualitative manner. We will explain how preloading suppresses T1 weighting. We will then show a schematic of a basic DSC-MRI acquisition protocol and provide recommended parameters. |
| 17:30 | DSC-MRI: Analysis |
| Linda Knutsson | |
Perfusion is the term applied to capillary blood flow in tissue. The study of brain perfusion has clinical applications due to the changes in perfusion associated with several neurological diseases. Dynamic susceptibility contrast (DSC) MRI is a method for retrieving perfusion and perfusion-related parameters using an exogenous contrast agent. The quantification of the perfusion and perfusion-related parameters from DSC-MRI is a two-step procedure. In the first step, the signal intensities are converted into contrast agent concentrations by employing MR signal theory. The second step aims to derive the relevant parameters from the time-resolved concentrations by means of tracer-kinetic theory. |
| 18:00 | Clinical Application of DSC & DCE MRI |
| Shoko Hara | |
This lecture presents the clinical application of DSC and DCE MRI in various neurological disorders - acute ischemic stroke, chronic cerebrovascular diseases, brain tumors, and blood brain barrier dysfunction in neuroinflammatory and neurodegenerative diseases. For the listeners who are not clinicians, backgrounds of each neurological disorder are presented, to enhance understanding of why DSC and DCE MRI are clinically required and useful. |
| 14:30 | Cloud Computing: Challenges & Opportunities |
| Michael Hansen | |
This presentation is an introduction to using cloud computing for image reconstruction and machine learning. We will introduce the concept of cloud computing and highlight the value it can bring to MRI research and clinical use. The presentation points to multiple open-source projects that can help you get started with cloud computing and also highlights some of the example use cases. Throughout the review we discuss the current challenges in the field and point to solutions that can be implemented. |
| 15:00 | Protecting MR Data: Practical Issues (Sharing, Anonymizing, Etc.) |
| Thomas Close | |
Ensuring privacy in MRI research is critical due to the sensitivity of medical data. In this education session, the risks of privacy breaches from MR data, and tips on how to minimise them, are explained with respect to the “Five Safes” of data privacy: Safe Output, Safe People, Safe Setting, Safe Data and Safe Output. The session touches on a wide range of security topics, from encryption of DICOM transfers and defacing of structural MRI scans, to disclosure risks in published outputs, to give an overview of the issues that need to be considered over the lifecycle of MR projects. |
| 15:30 | Protecting MRI Scanner & Peripheral Devices: Hackers |
| George Shih |
| 16:00 | Legal & Regulatory Issues in the Protection of MR Data: The Alphabet Soup (GDPR, HIPAA, FDA) |
| Yvonne Lui | |
In this presentation, we will review some of the legal and regulatory issues in the protection of MRI data that are pertinent to research in MRI including defining and discussing GDPA, HIPAA, and the role of the FDA. We will begin with an overview of the topic of medical imaging data ownership and what the rules are, the differences between legal definitions depending on location such as between Europe and North America. We will comment on what ownership means and review what HIPAA is, discuss issues of informed consent, issues surrounding deidentification, and the role of the FDA. |
| 14:30 | History of EPI Ghost Correction |
| Miha Fuderer | |
Echo-Planar Imaging (EPI) is a technique devised around 1976 by the Nobel laureate Sir Peter Mansfield. In the 1980s it was a promising but challenging new MRI technique. By 1990, it got clinically (and commercially) useful, initially mainly via diffusion imaging. Issues became problems – having a problem, we come up with solutions. One of the most challenging problems is the “EPI ghost” (or half-FOV ghost). As of the 1990s, this was tackled by a reference-scan. In the 2000s, parallel imaging became an additional tool against the ghost, while the last decade brought deep-learning as an additional possibility. |
| 15:00 | Artifact Correction in Diffusion MRI |
| Hua Guo | |
DWI is widely used in MRI. Due to the application of diffusion encoding gradients and usage of EPI for signal sampling, diffusion images usually have two kinds of artifacts. The first kind is image sequence and system related artifacts, such as EPI artifacts and field inhomogeneity induced distortions. The second kind is subject related artifacts which come from either cardiac pulsation and respiration or bulk motion. Various methods have been developed to reduce the first kind artifacts, while bulk motion and low SNR are less addressed. This presentation will give a concise review about the artifacts and the correction. |
| 15:30 | Artifact Correction on Preclinical MRI Systems |
| Andrada Ianus | |
This lecture describes the most common artifacts found on preclinical MRI scanners related to acquisition, image formation, hardware, sequence specific issues and physiological properties. It starts with a brief review of k-space and image formation, then it describes the physical principles of various artifacts, provides examples of preclinical images specifically acquired to show them and discusses different strategies to mitigate artifacts, both at the acquisition and data post-processing level. Some of the artifacts covered in this lecture are aliasing, chemical shift, Gibbs ringing, field inhomogeneities, Eddy currents, ghosts, susceptibility artifacts and motion. |
| 16:00 | Gibbs-Ringing Artifact Removal |
| Elias Kellner | |
The gibbs-ringing (also known as "truncation artifact" or "spectral leakage" ) is a result from reconstruction if images from a finite (bounded) k-space. It results in oscillations according to the sinc function in the vicinity of sharp image gradients at tissue boundaries. In this presentation, examples of the artifact are illustrated and simulations are shown to understand it better. Finally, correction strategies are discussed. |
| 16:30 | Simulation of Artifacts for Validating Post-Processing Correction Techniques |
| Gary Zhang | |
This presentation reviews how simulation of MRI artifacts can help validate post-processing correction techniques. First, typical artifacts that are routinely corrected via post-processing are presented. Second, the strength of validation with MRI simulation over alternative validation approaches is discussed. Finally, a range of practical examples of MRI artifact simulation development and their use for validation are detailed. |
| 15:15 | Inflammatory Demyelinating Disease & Treatment Effects |
| Matilde Inglese |
| 15:45 | Idiopathic Lung Disease & Cystic Fibrosis |
| Sean Fain | |
Idiopathic pulmonary fibrosis (IPF) and cystic fibrosis are deadly chronic lung diseases that have recently had breakthroughs in targeted drug therapies. Image-based biomarkers of ventilation and gas exchange using hyperpolarized 129Xe MRI are well suited to sensitively identify patients with progressive disease and monitor response to these new drug therapies. Additionally, ultra-short echo time (UTE) MRI has made significant advances in visualizing clinically relevant disease structures in both IPF and CF and can complement HP 129Xe MRI for longitudinal studies without requiring ionizing radiation. This structure-function imaging capability of MRI makes earlier and more frequent disease assessment feasible. |
| 16:15 | Non-Ischemic Cardiomyopathies |
| Ethan Rowin | |
Cardiovascular magnetic resonance (CMR) provides comprehensive characterization of the heart in patients with hypertrophic cardiomyopathy (HCM) including precise definition of left ventricular wall thickness and myocardial tissue characterization with late gadolinium enhancement (LGE). CMR contributes to the identification of patients at risk for sudden death including high risk features of LV apical aneurysms and extensive LGE. CMR in conjunction with current management strategies have resulted in a HCM becoming a treatable disease with low mortality rates. |
| 16:45 | Vasculitis |
| Subha Raman |
| 17:15 | Hepatic Inflammation & Fibrosis-MR Elastography |
| Frank Miller | |
Hepatic inflammation and fibrosis are important causes of cirrhosis and hepatocellular carcinoma. The imaging findings of cirrhosis are often difficult to diagnosis on conventional imaging. MR elastography is the best method to assess for increased stiffness associated with fibrosis and inflammation. This talk will discuss the technique, interpretation and performance of MR elastography. Newer techniques including 3D MRE will be discussed. In addition, the patterns of findings on MR elastography will be discussed in relationship to different disease processes. Other causes of elevated stiffness will be demonstrated. Challenges such as iron overload will be discussed. |
| 17:45 | Acute & Chronic Kidney Diseases |
| Anna Caroli | |
Renal MRI has the potential to overcome the limitations of current renal disease markers and improve kidney disease management in both chronic and acute settings. Renal MRI offers a wide spectrum of techniques that could be combined in a multiparametric approach to gain the best insight into kidney pathophysiology. In this educational presentation, the most widely used renal MRI techniques (DWI, BOLD, ASL, Phase-contrast MRI, T1/T2 mapping) are presented along with their clinical applications and new advances in the field. Current challenges, recent achievements, and a roadmap for clinical translation of renal MRI biomarkers are also discussed. |
| 18:15 | Imaging in IBD - a clinical perspective |
| Tom Watson | |
MR Enterography forms the mainstay of imaging for inflammatory bowel disease in adults and children. Ultrasound and CT are useful adjuncts in specific circumstances. Assessment of inflammation in IBD requires a multi-sequence approach using fluid-sensitive, diffusion-weighted and contrast enhanced sequences. Currently it is difficult to assess accurately, the relative contributions of inflammation and fibrosis within a given area of disease though this is possible. Newer techniques such as magnetisation transfer factor and quantified dynamic assessment of gut motility offer some promise in these areas. |
| 18:45 | Spondylarthropathy |
| Chiara Giraudo | |
This lecture is for radiologists and scientists working in the musculoskeletal field with a special interest in inflammatory rheumatic diseases.The classification of spondyloarthropathies including a brief overview of clinical and laboratory findings will be provided.The optimization of MR protocols according to international guidelines and the main MR signs will be discussed.Moreover, the role of qualitative and quantitative MR imaging including advanced techniques, such as machine learning will be addressed.At the end of this lecture, the audience will have gained new knowledge about the diagnostic process for spondyloarthropathies and the application of basic and advanced MR imaging in this field. |
| 15:15 | Diffusion: Signal Representations |
| Emilie McKinnon | |
A typical diffusion experiment exists of images acquired at different gradient directions and diffusion weightings. These large datasets necessitate transformation into compact metrics which facilitate comparisons between subjects, brain regions, or experimental settings. This conversion requires the fitting of mathematical functions called signal representations. Signal representations can be motivated by general diffusion physics, microstructural models, or simply by mathematical functions with convenient properties. Depending on the type of signal representation, the fitting parameters can have true physical meaning (e.g., diffusivity), biological meaning (e.g., axon diameter), or they can be a pure mathematical construct (e.g. spherical harmonic coefficients). |
| 15:45 | Diffusion: Spectroscopy |
| Chloé Najac | |
Diffusion-weighted magnetic resonance spectroscopy (DW-MRS) offers a unique opportunity to probe tissue microstructure in vivo. Here we discuss the motivations behind DW-MRS and the specificity of brain metabolites vs. water molecules. Some of the conventional sequences used in DW-MRS experiments are described. A "live" DW-MRS acquisition on a clinical MRI scanner is shown as well as some of the essential steps for processing DW-MRS data. We give some examples of the unique features that can be extracted, such as the length of neuronal and glial processes or the microscopic anisotropy of neurons and glial cells. Finally, take-home messages are summarized. |
| 16:15 | Diffusion: Physical Models |
| Santiago Coelho | |
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 weighting and long and short diffusion times are discussed together with state-of-the-art biophysical modeling techniques on each. Finally, future directions for modeling brain tissue are discussed. |
| 16:45 | Susceptibility |
| Richard Bowtell | |
Microstructural variation in magnetic susceptibility can have significant effects on signal magnitude and phase in GE images. The effect of microstructure on R2* and local frequency depends on the susceptibility, volume fraction, shape, orientation and ‘spin density’ of structures. Myelin and non-haeme iron have largest effects in brain tissue. Measured R2*and susceptibility are strongly correlated with macroscopic iron content and show some sensitivity to microstructure. WM tracts appear diamagnetic, with elevated R2* when perpendicular to B0. This behaviour is explained by the anisotropic susceptibility of lipid chains in the myelin which introduces complex dependence of GE signal on WM microstructure. |
| 17:15 | Brain Microstructure: Relaxation |
| Eva Alonso Ortiz | |
The most commonly used MRI sequences, T1-weighted, T2-weighted, and T2*-weighted are used to generate images whose contrast depends on T1, T2, and T2* relaxation values. However, the images themselves are not direct measures of T1, T2, and T2* which are physical characteristics of the tissues. T1-weighted, T2-weighted, and T2*-weighted images are used to identify areas of abnormally bright or dark signals, but they do not tell us anything specific about changes in tissue. In this presentation you will learn how relaxation arises, how it can be measured, and what it can tell us about the brain’s microstructure. |
| 17:45 | Magnetization Transfer |
| Olivier Girard | |
This lecture will cover the basic principles of magnetization transfer (MT) imaging techniques targeted toward immobile macromolecules in brain and describe how these techniques may inform on the local tissue microstructure. Following this lecture, the attendees should 1/ understand the origin of the magnetization transfer signal within heterogeneous systems such as brain tissues, 2/ understand simplified biophysical modelling aiming at describing myelinated white matter in the context of MT imaging; and 3/ understand how the orientation of the myelinated axons may affect MT measurements and how this may influence other contrasts (T1, T2) measured in the brain. |
| 18:15 | Multi-dimensional methods for microstructure imaging based on diffusion MRI |
| Björn Lampinen | |
Microstructure imaging aims to infer brain tissue quantities using diffusion MRI. However, conventional diffusion MRI yields only a few observables with limited specificity. Multi-dimensional methods use additional acquisition dimensions to obtain new observables with higher specificity. Data acquired using multiple b-tensor shapes separate the effects of structural shape and variation in size. Data acquired using multiple echo times may separate the densities and T2 properties of tissue components. Microstructure modeling aims to increase specificity by interpreting the available data through a tissue model. Although modeling may complement multi-dimensional acquisitions, the approach stresses rather than replaces the need for independent data. |
| 18:45 | Critical Review |
| Matthew Budde | |
This talk will provide an overview of considerations and challenges to bringing Microstructure Imaging techniques to the clinical setting and issues concerning validation of methods to improve specificity and understanding of the MRI-pathology relationships. |
| 15:15 | 30 Years of fMRI: Historical Perspective I |
| Kamil Ugurbil | |
The human fMRI experiments performed in CMRR, University of Minnesota, were motivated by the elucidation of the BOLD effect and the plan to establish a 4Tesla human imaging system in CMRR. These were the first experiments carried out on the 4T after it became operational. The effort produced several seminal papers in 1992 and 1993, reporting on successful functional mapping in the human brain, modeling of BOLD effect with implications on micro- versus macro-vascular contributions and the effect of the magnetic field strength, and experimental demonstration of the draining vein confound, leading to the development of 7 Tesla for fMRI. |
| 15:45 | 30 Years of fMRI: Historical Perspective II |
| Bruce Rosen | |
The development of functional Magnetic Resonance Imaging (fMRI) has fundamentally changed our ability to study human brain function – it has become by far the dominant tool used by cognitive and translational neuroscientists to link brain activity with human behavior. This talk will present some of the key antecedent concepts that underlay the development of modern fMRI methodology, and build a narrative of discoveries and insights that led to the emergence of this remarkable tool in the early 1990’s. |
| 16:15 | Haemodynamic Coupling & BOLD Biophysics |
| Nicholas Blockley | |
In this educational talk I will give a broad overview of haemodynamic coupling and BOLD biophysics. I talk about neurovascular coupling mechanisms including feedback versus feedforward mechanisms, vasodilation and vasodilators. From the perspective of the physiology of the BOLD signal I talk about the haemodynamic and metabolic contributions to the BOLD response. I then describe how these physiological changes translate into the measured BOLD signal including the effects of pulse sequence, vessel size and magnetic field strength. |
| 16:45 | fMRI Acquisition Methods |
| Wietske van der Zwaag | |
In this presentation, I give a brief overview of the fMRI acquisition methods developed between 1990 and 2020. The history of fMRI acquistions is a colourful one, going from MBEST and spirals to blipped CAIPIRINHA and alternative contrasts in 30 short years. |
| 17:15 | Non-BOLD: Imaging Blood Volume & Perfusion |
| Emmanuel Barbier | |
The relation between the BOLD signal and brain physiology is complex. Among the physiological determinants of BOLD, the cerebral blood volume (CBV) and the cerebral blood flow (CBF) appear of interest: they may be mapped using MRI. In fact, the first functional MRI paper ever published was based on the mapping of CBV changes, soon followed by a CBF-based fMRI paper. In this course, we will review the main fMRI methods based on blood volume and blood flow. |
| 17:45 | Resting-State fMRI |
| Bharat Biswal |
| 18:15 | Physiological Contributions |
| Rasmus Birn | |
Resting-state functional connectivity is sensitive to various sources of noise, particularly head motion and physiological fluctuations resulting from the heart beat and respiration. This noise can cause both false positives and false negatives. A variety of tools have been developed to reduce the influence of this noise. These techniques include image registration, censoring high-motion time points, nuisance regression (where noise is modeled as additional regressors in a general linear model) and data-driven approaches such as independent component analysis (ICA). |
| 18:45 | Arousal & Viscerosensory Contributions |
| Catie Chang | |
This talk discusses how arousal and brain-body interactions shape fMRI signals. We discuss ways in which fMRI signal characteristics and connectivity patterns have been found to change with fluctuations in arousal and during sleep. We also discuss the use of peripheral physiological recordings to study autonomic processing, as well as interactions between visceral signals and fMRI. |
| 19:15 | resting state fMRI: Neuronal Components |
| Silvina Horovitz | |
This lecture explores the neuronal contributions to the BOLD signal fluctuations and fMRI functional connectivity. We then provide an overview on electrophysiological and behavioral changes that alter fMRI functional connectivity. Finally, we discuss the implications in the understanding of resting state studies. |
| 15:15 | Necessary Ingredients of a Research Proposal |
| P. Ellen Grant | |
If research is your passion, writing fundable research proposals is a necessary skill to master. Research proposals may go to a many different funding agencies. All expected a specific style. The focus of this session will be the NIH style research proposal but many of the ingredients are relevant to all research proposals. Tips and strategies for preparing proposals will discussed as will the personal skills that are needed to succeed. In particular, the need to persevere, keep trying and believe in your work as success on the first submission is now rare. |
| 15:45 | Why You?: Selling Yourself |
| Derek Jones | |
This second presentation in the 'Money, Money, Money' session will focus on 'selling yourself', including what and what not to include in your CV and how you can enhance your visibility and reputation. One theme is "Every Little Helps", and we'll discuss what you can do to enhance your CV. Another theme is "It's a Small World", emphasizing that the academic community is a small and tight-knit community, and so advice will be given both on exploiting this fact and some things to watch out for. Finally, we'll talk about the right way to respond to a grant rejection. |
| 16:15 | Panel Discussion |
| Marion Smits |
| 16:45 | Panel Discussion |
| Meng Law |
| 17:15 | Panel Discussion |
| Anke Henning |
| 17:45 | Panel Discussion |
| Ching-Po Lin |
| 18:15 | Panel Discussion |
| Kei Yamada |
| 18:45 | Panel Discussion |
| Kim Butts Pauly |
| 16:00 | How to Analyse Your Physiological MRI Data: CEST |
| 16:00 | Basic Theory of rsfMRI-Derived Functional Connectivity |
| Haris Sair |
| 16:30 | A Primer on Data Analysis: Preprocessing Pipelines |
| Behroze Vachha |
| 17:00 | Seed- & ICA-Based Analysis: What It Is & How to Interpret Findings |
| Ann Choe |
| 17:30 | Seed- and ICA-Based Interpretation: Case Studies of CNS Disease |
| Mickael Tordjman |
| 18:00 | Brain Network Analysis: Theory & Interpretation |
| Shella Keilholz | |
Brain network analysis is widely used to characterize the structural and functional connectivity of the brain. This tutorial gives step-by-step examples of how to use the Brain Connectivity Toolbox to calculate common network metrics, including degree, clustering, path length and modularity. Null models and interpretation are touched upon briefly. |
| 18:30 | How to Interpret Brain Network Changes: Case Studies of CNS Disease |
| Maurizio Corbetta |
| 19:00 | What Is Dynamic Causal Modelling & How Can It Inform on Network Changes? |
| Rosalyn Moran |
| 19:30 | Static Versus Task-Based Dynamic Connectivity: What’s the Difference? |
| Catie Chang |
| 20:00 | How to Interpret Brain Network Changes: Case Studies of CNS Disease |
| TBD |
| 20:30 | What Is Dynamic Causal Modelling & How Can It Inform on Network Changes? |
| TBD |
| 16:00 | Disentangled Representation Learning in Cardiac Image Analysis |
| Thomas Joyce |
| 16:30 | Learning to Map Genetics onto the Heart in Large Populations |
| Declan O'Regan |
| 17:00 | Machine Learning Segmentation of Heart/Aorta |
| Jelmer Wolterink |
| 20:00 | Introduction |
| 20:15 | Viribus Unitis |
| 21:00 | Nurturing Beyond Our Peers: Public Engagement & Outreach |
| Stuart Clare | |
Engaging with the public is vital to ensure trust in science. It can improve our research and our communication skills, and also be rewarding and fun. To best engage, we need to identify who we are engaging with and ensure that our message and our method match that audience. |
| 21:20 | Nurturing Talent: Training & Mentoring |
| Kaori Togashi | |
Based on my experience as a team leader and chairperson of Radiology department for 16 years, I learn that nurturing should be adjusted for each mentee’s stage. In the department I take care of medical student, residents, graduate students and faculties. What I value most in each stage differs. For example, early exposure and success stories are useful to get residents into research mindset, while graduate students need mentoring. For faculty level, help them to find the path to success with the consideration of diversity and leadership are important. Keywords common to all stages in nurturing future talents are discussed. |
| 21:40 | Nurturing a Team: Healthy Team Science |
| Vivian Lee |
9:00
|
How to Analyse Your Physiological MRI Data: Cerebral Oxygenation | |
| Nicholas Blockley | ||
| University of Nottingham | ||
| 0001 | 12:00
|
Magnetic Resonance Coherence Pathway Unraveling |
| Nikolai Mickevicius1 and Eric Paulson2 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States, 2Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States |
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The magnetic resonance coherence pathway unraveling (MR-CPU) method acquires primary and stimulated echoes simultaneously, and encodes them using CAIPIRINHA RF phase cycling such that they can be separated during image reconstruction. This initial study demonstrates the feasibility of unaliasing overlapped coherence pathway images, and future studies will investigate its use for quantitative T1, T2, and diffusion coefficient mapping. |
| 0002 | 12:00
|
VUDU: motion-robust, distortion-free multi-shot EPI |
| Jaejin Cho1,2, Avery JL Berman1,2, Borjan Gagoski2,3, Congyu Liao4, Jason Stockmann1,2, Jonathan R Polimeni1,2, and Berkin Bilgic1,2 | ||
1Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 4Radiological Sciences Laboratory, Stanford University, Palo Alto, CA, United States |
||
We introduce VUDU (Variable flip, blip-Up and -Down Undersampling) for motion-robust, distortion-free multi-shot EPI (msEPI) acquisition. VUDU uses FLEET-ordering to acquire all shots of a given slice successively before proceeding to the next slice, and employs variable flip angle (vfa) excitation to maximize the signal. Phase encoding polarities are reversed between shots to estimate and eliminate distortions, and low-rank constraint mitigates shot-to-shot inconsistencies. VUDU thus utilizes vfa-FLEET excitation and blip-up and -down acquisition (BUDA) to encode each slice in 250ms. We demonstrate VUDU with GRE, SE/diffusion contrasts in the brain, and expect that this will enable msEPI in the abdomen. |
| 0003 | 12:00
|
Maxwell Compensation for Spiral Turbo-Spin-Echo Imaging |
| John P. Mugler1, Adrienne E. Campbell-Washburn2, Rajiv Ramasawmy2, Josef Pfeuffer3, and Craig H. Meyer1 | ||
1University 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, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Spiral TSE imaging presents challenges for compensating concomitant (Maxwell) gradient effects because spiral waveforms vary along the echo train, as opposed to Cartesian imaging for which the same readout waveform is used for every echo. Since Maxwell terms are proportional to 1/Bo, compensation is particularly important at low field strength. An interleaved-spiral T2-weighted 2D-TSE pulse sequence was developed that incorporates gradient waveform modifications to achieve compensation of the self-squared Maxwell terms at both the echoes and over echo spacings. This approach provided substantial improvement in image quality at 0.55T for degradation associated with self-squared concomitant-gradient effects. |
| 0004 | 12:00
|
Low-Angle Combined-Echo (LACE) Imaging in Highly Inhomogeneous B0 Magnetic Fields |
| Sebastian Theilenberg1, Chathura Kumaragamage2, Scott McIntyre2, Terry W. Nixon2, Christoph Juchem1,3, and Robin A. de Graaf2 | ||
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center, Yale University School of Medicine, New Haven, CT, United States, 3Radiology, Columbia University Medical Center, New York, NY, United States |
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In line with recent developments in scanner design for more cost effective and more accessible scanners, we propose a low-angle combined-echo sequence similar to a conventional spin echo sequence capable of producing high quality images in the presence of strong B0 inhomogeneity. We present simulation results investigating the signal dependence on the sequence’s timings and flip angles as well as image contrast for typical relaxation times of normal brain white and gray matter. The simulations were validated in vivo at 4 T. Lastly, we show the feasibility to utilize multi-coil generated image encoding fields for this sequence. |
| 0005
|
12:00
|
Interleaved MRI and DMI on human brain in vivo |
| Yanning Liu1, Henk M. De Feyter1, Scott McIntyre1, Terence W. Nixon1, and Robin A. de Graaf1 | ||
1MRRC Yale University, New Haven, CT, United States |
||
Deuterium metabolic imaging (DMI) is a powerful method to map metabolism in vivo. To integrate DMI with clinical MRI, we propose and demonstrate an interleaved MRI and DMI routine, including the necessary hardware and sequence modifications. Using interleaved FLAIR MRI+DMI as an example, we demonstrate that MR image quality and DMI sensitivity as well as information content are preserved, both in phantoms and in the human brain in vivo. The interleaved MRI+DMI technology provides full flexibility to extend any MRI protocol with DMI, thereby offering a metabolic component to the range of MR imaging contrasts. |
| 0006
|
12:00
|
Accelerated diffusion and relaxation-diffusion magnetic resonance imaging using time-division multiplexing echo-planar imaging (TDM-EPI) |
| Yang Ji1,2, Borjan Gagoski 2,3, W. Scott Hoge 1,2, Yogesh Rathi 1,2, and Lipeng Ning 1,2 | ||
1Brigham and Women’s Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Boston Children’s Hospital, Boston, MA, United States |
||
Recently, several studies have shown that brain tissue consists of microscopically heterogeneous components that are characterized by different T2 values and diffusivity. The joint relaxation-diffusion MRI technique has been developed to probe the intrinsic tissue microstructure that cannot be probed using standard dMRI. However, a major limitation of the relaxation-diffusion MRI technique is the long scan time for acquiring dMRI with multiple TEs. In order to significantly reduce the scan time, we propose a time-division multiplexing based echo-planar imaging (TDM-EPI) sequence, which can accelerate relaxation-diffusion MRI and standard dMRI by 2 or 3 folds. |
| 0007 | 12:00
|
Fast 2D J-resolved MRSI combining echo planar imaging acquisition and turbo spin echo train evolution |
| Ke Dai1, Qingjia Bao2,3, Hao Chen1, Yiling Liu1, and Zhiyong Zhang1 | ||
1School of Biomedical Engineering, Shanghai, China, 2Wuhan United Imaging Life Science Instruments Co., Ltd, Wuhan, China, Wuhan, China, 3Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel |
||
J-resolved MRSI is a powerful tool for separating overlapping resonances and detecting coupled species such as GABA and glutamate, which are of great interest to brain studies. However, a major practical limitation of J-resolved MRSI lies in its long data acquisition time. In this work, we present a novel fast fully sampled 2D J-resolved MRSI, termed as J-resolved xSPEN spectroscopy, combining echo planar imaging acquisition and turbo spin echo train evolution. Our preliminary phantom results demonstrate the proposed method can achieve highly efficient fully sampled 2D J-resolved MRSI with increasing chemical shift separation and detection of coupled species. |
| 0008 | 12:00
|
Dual Spin-Echo Proton Density-Weighted and T2-Weighted Knee Imaging with Asymmetric Spiral In-out Trajectories |
| Dinghui Wang1, Francis I. Baffour1, Daniel D. Borup2, Tzu-Cheng Chao1, and James G. Pipe1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Royal Philips, MR R&D, Rochester, MN, United States |
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This work proposes a spiral dual echo spin-echo sequence with asymmetric in-out trajectories to increase the scan efficiency of the second echo. The sequence has been applied for simultaneous sagittal proton density-weighted and T2-weighted Dixon knee imaging. Volunteer scans have demonstrated the feasibility of using the proposed method to achieve up to 36% SNR improvement for T2-weighted images. High quality water and fat images can be obtained with comparable total scan time as the conventional non-Dixon Cartesian fast (turbo) spin-echo sequences with SENSE factors from 1.5 to 2. T2 maps can also be estimated from proton density-weighted and T2-weighted images. |
| 0009 | 12:00
|
Whole-heart CMRA non-rigid motion compensation with autofocus virtual 3D iNAV |
| Alina Psenicny1, Gastao Cruz1, Camila Munoz1, Reza Hajhosseiny1, Thomas Kuestner1, Karl P Kunze2, Radhouene Neji1,2, René M Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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3D whole-heart coronary MR angiography (CMRA) acquisition remains lengthy and can suffer from residual motion and/or undersampling related artifacts. 2D image-navigator based non-rigid respiratory motion compensation has been recently proposed to accelerate the CMRA scan. This framework combines 2D beat-to-beat translational and 3D bin-to-bin non-rigid motion correction. However, beat-to-beat anterior-posterior motion is not corrected for with this approach, which can result in significant residual motion. Here we propose a virtual 3D iNAV approach that exploits autofocus motion correction to further enable beat-to-beat anterior-posterior translational motion correction, assuming a linear relationship between the translational foot-head and anterior-posterior movement of the heart. |
| 0010 | 12:00
|
Multi-Band Multi-Slab 3D Multi-Echo Acquisition for Simultaneous Time-of-Flight MR Angiography and Susceptibility-Weighted Imaging at 3T |
| Misung Han1, Brian L Burns2, Suchandrima Banerjee2, and Janine M Lupo1,3 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 3UCSF-UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, San Francisco, CA, United States |
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A single scan of multi-slab, multi-echo acquisition can simultaneously provide 3D time-of-flight (TOF) MR angiography and susceptibility-weighted imaging (SWI) MR venography, which allows for the assessment of vascular injury in the form of cerebral microbleeds in association with arteries and veins. However, the acquisition for high-resolution multi-slab 3D TOF-MRA/SWI with whole brain coverage takes over 10 minutes to acquire at 3T. In this work, we developed a 3D multi-slab, multi-echo acquisition for TOF-MRA/SWI with multi-band acceleration to reduce acquisition time and compared the resulting TOF-MRA and SWI images in patients with radiation-induced microbleeds. |
| 0011
|
12:00
|
High-resolution T1 Mapping of High-grade Glioma |
| Zhibo Zhu1, Jay Acharya2, Yannick Bliesener1, R. Marc Lebel3,4, Richard Frayne3,5, and Krishna S. Nayak1,2 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Department of Radiology, University of Southern California, Los Angeles, CA, United States, 3Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgray, AB, Canada, 4Global MR Applications & Workflow, GE Healthcare, Calgary, AB, Canada, 5Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, AB, Canada |
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Native T1 mapping is necessary for quantitative DCE-MRI of brain tumor and may have independent predictive value. Previous investigations using coarse spatial resolution have found tumor to have longer T1 compared to normal white matter. In this work, we evaluate a recent millimeter-resolution whole-brain T1 mapping approach in patients with high-grade glioma. T1 values in tumor and peritumoral regions were higher than that of normal white matter, consistent with literature. We also observed T1 spatial heterogeneity in these regions, further supporting the need for high resolution pre-contrast T1 mapping for quantitative DCE-MRI. |
| 0012 | 12:00
|
A nomogram combining T2WI-based radiomics features and clinical variables for prediction of neoadjuvant chemotherapy response in osteosarcoma |
| Chengxiu Zhang1, Jingyu Zhong2, Yangfan Hu3, Jing Zhang1, Liping Si2, Yue Xing2, Jia Geng3, Qiong Jiao4, Huizhen Zhang4, Weiwu Yao2, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China, 4Department of Pathology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China |
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Osteosarcoma is the most common malignant osseous tumor and neoadjuvant chemotherapy for osteosarcoma has significantly improved survival outcomes. However, not all patients benefit from the current treatment strategy. We constructed a nomogram combined radiomics features from routinely available T2WI images and clinical variables to predict the response to neoadjuvant chemotherapy. The nomogram achieved an AUC of 0.838 (95% CI, 0.700-0.958) and DCA suggested that it has the potential to be used for preoperational prediction of pathological NAC response in osteosarcoma patients. |
| 0013
|
12:00
|
Using MR Radiomics to Improve Prediction of Local Tumor Control after Radiosurgery in Brain Metastases |
| Chien-Yi Liao1, Cheng-Chia Lee2,3,4, Huai-Che Yang2,3, Wen-Yuh Chung2,3, Hsiu-Mei Wu3,5, Wan-Yuo Guo3,5, Ren-Shyan Liu1,6,7, and Chia-Feng Lu1,8 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, Taipei, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, Taipei, Taiwan, 3School of Medicine, National Yang-Ming University, Taipei, Taiwan, Taipei, Taiwan, 4Brain Research Center, National Yang-Ming University, Taipei, Taiwan, Taipei, Taiwan, 5Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan, Taipei, Taiwan, 6Department of Medical Imaging, Cheng-Hsin General Hospital, Taipei, Taiwan, Taipei, Taiwan, 7Molecular and Genetic Imaging Core, Taiwan Animal Consortium, Taipei, Taiwan, Taipei, Taiwan, 8Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan, Taipei, Taiwan |
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Patients with non-small cell lung cancer have a high probability to develop brain metastasis during the course of the disease. The prediction of treatment response after Gamma Knife stereotactic radiosurgery (GKRS) can benefit patient management. In addition to the clinically available information (Karnofsky performance status, number of tumors, tumor volume, and primary tumor control), we proposed an MR radiomics approach to provide added values to predict the local tumor control after GKRS. We suggested that imaging characteristics extracted from preradiosurgical MRIs combined with clinical information can effectively predict local tumor control. |
| 0014 | 12:00
|
The power of field strength: a direct comparison of USPIO-enhanced MRI at 3 and 7T to detect suspicious lymph nodes in patients with prostate cancer |
| Ansje Fortuin1,2, Sjaak van Asten1, Andor Veltien1, Bart Philips1, Thomas Hambrock1, Stephan Orzada3,4, Harald Quick3,5, Jelle Barentsz1, Marnix Maas1, and Tom Scheenen1,3 | ||
1Radboudumc, Nijmegen, Netherlands, 2Radiology, Ziekenhuis Gelderse Vallei, Ede, Netherlands, 3Erwin L Hahn Institute for MR Imaging, Essen, Germany, 4University of Heidelberg, Heidelberg, Germany, 5University of Duisburg-Essen, Essen, Germany |
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Lymph node metastases in prostate cancer patients are mainly found in normal sized lymph nodes and detection is a major challenge. USPIO-enhanced MRI with ferumoxtran-10 discriminates between normal and suspicious lymph nodes. We examined 20 prostate cancer patients with high risk of advanced disease with USPIO-enhanced MRI at 3 and at 7 Tesla, and compared the amount, the level of suspicion, and the size of lymph nodes with two readers. More, but on average not larger suspicious nodes were annotated on 7T versus 3T MRI by both readers, with less interobserver variability at 7T. |
| 0015
|
12:00
|
Radiomics-based CEST image analysis for improved performance of brain tumor grading |
| Jibin Tang1, Hongxi Zhang2, Zhipeng Shen3, Wenqi Wang1, Xingwang Yong1, Junjie Wen1, Xinchun Chen2, Fengyu Tian2, Weibo Chen4, Dan Wu1, 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, 2Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 3Department of Neurosurgery, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 4Philips Healthcare, Shanghai, China |
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CEST imaging can detect proteins and metabolites in vivo and has been successfully applied to brain tumor grading. In this work, we implemented a radiomic analysis of the APTw images, which were acquired from 40 patients with 20 confirmed high-grade brain tumors and 20 confirmed low-grade tumors. We established predictive models, assessed their performance, and compared them with conventional average APTw image intensities. The average sensitivity and AUC of the selected radiomic feature models for tumor grading were significantly higher than that of conventional mean APTw signals, demonstrating the advantage of radiomics for diagnosing brain tumors. |
| 0016 | 12:00
|
Delayed mapping of 2H-labeled choline using Deuterium Metabolic Imaging (DMI) reveals active choline metabolism in rat glioblastoma. |
| Henk M. De Feyter1, Monique A. Thomas1, Kevan L. Ip1, Kevin L. Behar2, and Robin A. de Graaf3,4 | ||
1Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Department of Psychiatry, Yale University, New Haven, CT, United States, 3Department of Radiology and Biomedical Imaging, Yale University, NEW HAVEN, CT, United States, 4Department of Biomedical Engineering, Yale University, New Haven, CT, United States |
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Previously we reported high tumor uptake of exogenous choline in rodent brain tumor models when using Deuterium Metabolic Imaging (DMI) during intravenous infusion of [2H9]-choline. The small differences in chemical shifts of [2H9]-labeled choline, phosphocholine, glycerophosphocholine and betaine exclude accurate peak assignment, and therefore it is unclear whether blood-borne choline is metabolized intracellularly. Using different 2H-labeling strategies of choline and high resolution 2H NMR in tumor tissue extracts we identified the choline-containing metabolites observed during intravenous infusion, as well as after 24 hrs. |
| 0017 | 12:00
|
Predictive Value of Myo-inositol Measured by MRSI during Anti-angiogenic Treatment in Recurrent Glioblastoma |
| Michael Wenke1, Jorg Dietrich2, Elizabeth Gerstner2, Otto Rapalino3, Julian He3, Daniel Kim1, Melanie Fu1, Pratik Talati4, Mohamed El Abtah1, Anna Vaynrub1, Sharif Natheir1, Mark Vangel3, Isabel Arrillaga-Romany2, Forst Deborah2, Yi-Fen Yen1, Ovidiu Andronesi1, Jayashree Kalpathy-Cramer1, Tracy Batchelor5, Bruce Rosen1, R. Gilberto Gonzalez3, and Eva-Maria Ratai1 | ||
1Radiology / Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Neurology / Cancer Center, Massachusetts General Hospital, Boston, MA, United States, 3Radiology, Massachusetts General Hospital, Boston, MA, United States, 4Neurosurgery, Massachusetts General Hospital, Boston, MA, United States, 5Neurology, Brigham and Women's Hospital, Boston, MA, United States |
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Patients with recurrent glioblastoma (rGBM) are commonly treated with anti-angiogenic agents such as bevacizumab (BEV), but not all benefit from this therapy. We examined whether MR spectroscopic imaging (MRSI) of myo-inositol (mI) could distinguish short-term survivors from longer term survivors (>9 month). We scanned twenty-two rGBM patients with MRSI at baseline prior to bevacizumab-based therapy, as well as 1-2 days, 4 weeks, 6-8 weeks and 16 weeks after treatment. We found that low tumoral myo-inositol normalized by creatine (Cr) on the contralateral site (mI/c-Cr) prior to and during anti-angiogenic therapy is predictive of poor survival. |
| 0018
|
12:00
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Deuterium magnetic resonance spectroscopy using 2H-pyruvate allows non-invasive in vivo imaging of TERT expression in brain tumors |
| Georgios Batsios1, Celine Taglang1, Meryssa Tran1, Anne Marie Gillespie1, Joseph Costello2, Sabrina Ronen1, and Pavithra Viswanath1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Neurological Surgery, UCSF, San Francisco, CA, United States |
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Telomerase reverse transcriptase (TERT) expression is essential for tumor proliferation. Since TERT is exclusively expressed in tumor cells, TERT is also an attractive therapeutic target. However, non-invasive methods of imaging TERT are lacking. Here, we show that TERT expression in preclinical patient-derived brain tumor models is associated with elevated steady-state levels of NADH, an effect that can be non-invasively visualized in vivo by deuterium metabolic imaging using [U-2H]pyruvate. Since 2H-MRS can be readily implemented on clinical MR scanners, our results provide an innovative, clinically translatable method of integrating information regarding a fundamental cancer hallmark, i.e. TERT, into glioma patient management. |
| 0019 | 12:00
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Early noninvasive metabolic biomarkers of mutant IDH inhibition in low-grade glioma models |
| Marina Radoul1, Donghyun Hong1, Anne Marie Gillespie1, Chloé Najac1, Pavithra Viswanath1, Russell O. Pieper2,3, Joseph Costello2, H. Artee Luchman4, and Sabrina M. Ronen1,3 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurological Surgery UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States, 3Brain Tumor Research Center, University of California San Francisco, San Francisco, CA, United States, 4Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada |
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Targeting mutant IDH, which is present in ~80% of glioma, is being tested as a new therapeutic approach. In the current study, we investigated metabolic alterations in response to mutant IDH inhibition by either AG-881 or BAY-1436032 in orthotopic patient-derived glioma models. Using high resolution in vivo 1H MRS we detected, in addition to a decrease in 2HG, an early increase in glutamate and the combined glutamine/glutamate signals. These were associated with slowdown of tumor growth and ultimately longer animal survival. This identifies potential early metabolic biomarkers of glioma response to mutant IDH inhibition. |
| 0020
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12:00
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Imaging response to radio-chemotherapy in brain tumor models using [2,3-2H2]fumarate and deuterium magnetic resonance spectroscopic imaging |
| Friederike Hesse1, Alan Wright1, Vencel Somai1,2, Flaviu Bulat1,3, and Kevin Brindle1,4 | ||
1Cancer Research UK Cambridge Institute, 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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Metabolic imaging of brain tumor responses to radio-chemotherapy can give an early indication of treatment outcome. We show here that Deuterium Metabolic Imaging (DMI) with 2H-labeled fumarate can be used to detect early evidence of cell death following radio-chemotherapy in an orthotopic patient-derived glioblastoma model. 2H spectra were acquired from tumors, following an injection of 2H-labeled fumarate. Within one week of treatment the rate of tumor malate production increased significantly. Increased levels of labeled malate were also evident in spectroscopic images of the tumors. These measurements were compared with 13C MRSI measurements of [1,4-13C2]malate production from hyperpolarized [1,4-13C2]fumarate1. |
12:00
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What Is Heart Failure?: Overview of Pathophysiology & Epidemiology | |
| Daniel R. Messroghli1 | ||
1German Heart Institute Berlin (DHZB), Berlin, Germany |
12:30
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Key Clinical Trials in Heart Failure | |
| Matthew M. Y. Lee1 | ||
1University of Glasgow, Glasgow, United Kingdom |
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CMR has roles in the diagnosis and risk stratification of heart failure. CMR is the reference "gold" standard method of assessing cardiac structure and function. CMR reduces the sample size required in heart failure clinical trials. CMR has been used in several key heart failure trials to assess cardiac remodelling. |
13:00
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The Role of MRI in Diagnosis & Management of Heart Failure | |
| Kim-Lien Nguyen1,2,3 | ||
1Departments of Cardiology and Radiology, University of California, Los Angeles, Los Angeles, CA, United States, 2Departments of Cardiology and Radiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States, 3Physics and Biology in Medicine Graduate Program, University of California, Los Angeles, Los Angeles, CA, United States |
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Heart failure is a complex clinical syndrome with many causes. Although imperfect, the left ventricular ejection fraction (LVEF) serves as a surrogate marker for combined LV function and structural phenotyping of heart failure. Cardiac imaging provides information about structure, tissue composition, and function. As a diagnostic modality with high spatial resolution and no ionizing radiation exposure, cardiovascular MRI is valuable for accurate EF quantification and phenotypic characterization. However, several barriers exist for widespread implementation of quantitative MRI in heart failure. Examples of challenges include accessibility to and standardization of cardiovascular imaging pulse sequences for probing myocardial tissue structure and function. |
13:30
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How Can MR Imaging Address Knowledge Gaps in Heart Failure? | |
| Sebastian Kozerke1 | ||
1University and ETH Zürich, Zürich, Switzerland |
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Cardiac Magnetic Resonance offers a multitude of contrast mechanisms across spatiotemporal scales to further improve diagnosis, stratification and interventions in heart failure patients. In this presentation the focus is put on hyperpolarized metabolic and diffusion tensor imaging to unravel the interplay of energy supply and myofiber contractile reserve in conjunction with biophysical modeling of left-ventricular function and dysfunction. It is shown that statistical learning and, in particular, physics-informed neural networks offer approaches for rapid personalization, detection and prediction of failing hearts. |
| 0021
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12:00
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Visualization of Post-Infarction Cardiac Tissue Remodeling at 7T using T2* contrast: Longitudinal Study in a Pig Myocardial Infarction Model |
| Maxim Terekhov1, David Lohr1, Michael Hock1, Maya Bille1, Steffen Baltes1, Ibrahim A. Elabyad1, Florian Schnitter2, Julia Aures1, Theresa Reiter2, Wolfgang Bauer1,2, Ulrich Hofmann2, and Laura M. Schreiber1 | ||
1Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Comprehensive Heart Failure Center, Wuerzburg, Germany, 2Department of Internal Medicine I, Cardiology, University Hospital Würzburg, Wuerzburg, Germany |
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Cardiac MRI at 7T is a developing methodology capable to increase physical sensitivity and spatial resolution of the cardiac MR-images. T2*-quantification at 7T is of particular interest because it is highly sensitive to cardiac microstructure and has the potential to improve data quality on cardiac tissue remodeling in both acute and chronic cardiac diseases compared to clinical B0-field. In this work, we present the results of a pilot study correlating the multi-slice T2*-data with late-gadolinium-enhancement and first-pass-perfusion results in the large animal model of myocardial infarction. 8 pigs measured prior and at three dates after inducing myocardial infarction are analyzed. |
| 0022 | 12:00
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Effect of doxorubicin treatment on myocardial metabolism in patients with breast cancer |
| Jae Mo Park1,2,3, Galen D Reed4, Jeff Liticker1, William C Putnam5, Alvin Chandra6,7, Katarina Yaros6, Aneela Afzal1,6, James MacNamara6, Ronald G Hall5, Crystal E Harrison1, Alagar Muthukumar6, Colby Ayers6, James de Lemos6, Craig R Malloy1,6, Hsiao-Ching Li6,7, Barbara Haley6,7, and Vlad G Zaha1,6 | ||
1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, United States, 4GE Healthcare, Dallas, TX, United States, 5Pharmacy Practice, Texas Tech University, Dallas, TX, United States, 6Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States, 7Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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This study evaluates the feasibility of hyperpolarized 13C MRS for detection of early metabolic response in the myocardium of patients after anthracycline treatment. Patients with breast cancer were studied using hyperpolarized [1-13C]pyruvate before and after doxorubicin. Appearance of [13C]bicarbonate was significantly decreased after doxorubicin compared to the baseline exam while no change in [1-13C]lactate was detected. The reproducibility of hyperpolarized exams was examined by two injections of hyperpolarized [1-13C]pyruvate. The study demonstrates that hyperpolarized 13C spectra of the heart are sensitive to early injury of the mitochondria after doxorubicin therapy in patients with breast cancer in a reproducible manner. |
| 0023 | 12:00
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Increased Cardiac Pi in the Diabetic Heart Observed Using STEAM 31P MRS at 7T |
| Ladislav Valkovic1,2, Andrew Apps1, Jane Ellis1, Damian J Tyler1,3, Stefan Neubauer1, Albrecht Ingo Schmid4, Oliver J Rider1, and Christopher T Rodgers1,5 | ||
1Oxford Centre for Clinical Magnetic Resonance Research (OCMR), RDM Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom, 2Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, 3Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom, 4High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 5Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom |
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Impaired cardiac energetics are characterized by a reduced phosphocreatine to adenosine-triphosphate ratio (PCr/ATP), however, changes in inorganic phosphate (Pi) may impact the Gibbs energy of ATP hydrolysis earlier in the disease process. Quantifying this in the diabetic heart may help explain latent diastolic dysfunction. Therefore, we used STEAM 31P-MRS at 7T to measure Pi/PCr in a type 2 diabetic (T2DM) cohort, and demonstrated an increased Pi/PCr in the diabetic human heart in comparison to healthy subjects. No correlation between PCr/ATP and Pi/PCr hints that multiple mechanisms contribute to these perturbations with candidates including impairment of CK flux and substrate inflexibility. |
| 0024 | 12:00
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Left Ventricular Myocardial Stiffness Decreases after Stem Cell Therapy in Amyloidosis Patients: Monitored with Cardiac MR Elastography |
| Arvin Arani1, Jessica Magnuson1, Joshua D. Trzasko1, Yi Sui1, Kevin J. Glaser1, Armando Manduca1, Richard L. Ehman1, Sudhakar K. Venkatesh1, and Philip A. Araoz1 | ||
1Mayo Clinic, Rochester, MN, United States |
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Light chain (AL) cardiac amyloidosis is a disease where abnormal proteins are deposited in the heart tissue, commonly resulting in elevated myocardial stiffness. In cases with poor prognosis, autologous hematopoietic stem cell transplantation is used as a therapy. However, organ response monitoring is currently limited and challenging. The goal of this study is to evaluate the feasibility of using cardiac magnetic resonance elastography (MRE) to monitor changes in left ventricular (LV) myocardial stiffness after stem cell transplantation for treatment of AL amyloidosis. MRE detected a statistically significant (p=0.007) decrease in LV stiffness (mean decrease: 1.6±0.7 kPa, 17.0±7.4%) post therapy. |
| 0025
|
12:00
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Feasibility of single breath-hold CINE with combined Simultaneous Multi-Slice (SMS) and Region-Optimized Virtual (ROVir) coils |
| Daeun Kim1, Rodrigo A. Lobos1, Jaume Coll-Font2,3,4, Maaike van den Boomen2,3,4, John Conklin2,5,6, Jianing Pang7, Daniel Staeb8, Peter Speier9, Xiaoming Bi10, Brian Ghoshhajra5,6, Justin P. Haldar1, and Christopher T. Nguyen2,3,4 | ||
1Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 3Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Charlestown, MA, United States, 4Department of Medicine, Harvard Medical School, Boston, MA, United States, 5Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 6Department of Radiology, Harvard Medical School, Boston, MA, United States, 7Siemens Medical Solutions USA Inc., Chicago, IL, United States, 8Siemens Healthcare Pty Ltd, Melbourne, Australia, 9Siemens Healthcare GmbH, Erlangen, Germany, 10Siemens Medical Solutions USA Inc., Los Angeles, CA, United States |
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Conventional clinical cardiac MRI protocols use a large number (>20) of breath-holds for capturing cinemagraphic (CINE) scans of the heart in various views. We hypothesize simultaneous multi-slice (SMS) CINE can be further accelerated using a reduced FOV and a novel approach based on Region-Optimized Virtual (ROVir) coils, which can potentially achieve single breath-hold whole heart CINE. We demonstrated the feasibility of combining SMS and ROVir for highly accelerated CINE imaging (8-fold reduced scan time), enabling single breath-hold whole ventricular acquisition. Single breath-hold SMS+ROVir whole-heart CINE yielded cardiac function parameters with no significant bias when compared to SMS CINE. |
| 0026
|
12:00
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Low Rank Motion Correction for free breathing first pass myocardial perfusion |
| Gastao Cruz1, Alina Hua1, Camila Munoz1, Tevfik Ismail1, Amedeo Chiribiri1, René M. Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Conventional myocardial perfusion imaging requires free breathing acquisitions, with high spatial and temporal resolution. Leveraging the underlying redundant anatomic information to improve this multi-contrast application is challenging due to motion. Here a novel Low Rank Motion Corrected (LRMC) reconstruction is proposed to enable highly accelerated, motion corrected free breathing first pass myocardial perfusion imaging. This approach combines low rank subspace modelling (to resolve contrast) and non-rigid motion fields (to correct respiratory motion). The proposed approach successfully corrects respiratory motion and considerably improves image quality compared to conventional iterative SENSE reconstruction. |
| 0027 | 12:00
|
About the origin of viscosity in MR-Elastography: tissue absorption or vascular scattering? |
| Giacomo Annio1,2, Omar Darwish2, Elijah Van Houten3, Knut Solna4, Sverre Holm5, and Ralph Sinkus1,2 | ||
1LVTS, INSERM U1148, Paris, France, 2Department of Biomedical Engineering, King's College London, London, United Kingdom, 3Département de Génie Mécanique, Université de Sherbrooke, Sherbrooke, QC, Canada, 4Department of Mathematics, University of California at Irvine, Irvine, CA, United States, 5Department of Physics, University of Oslo, Oslo, Norway |
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MRE is a novel tool to study in-vivo biomechanics. Recently, the diagnostic value of viscosity has been explored. However, its physical origin as intrinsic absorption or due to scattering is yet unknown. This work shows that the majority of viscosity at about 100Hz is apparent, thus originating mainly from scattering. Moreover, we observed that the classical springpot model fails to describe the dispersion properties of complex media containing scattering structures. We propose a nonlocal viscoelastic model that can ultimately disentangle intrinsic loss effects from scattering-induced ones. This changes dramatically the way we interpret viscous changes for therapies impacting on vasculature. |
| 0028 | 12:00
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A Multiphase Radial DENSE Sequence and harmonic motion based compressed sensing for fast magnetic resonance elastography |
| Runke Wang1, Suhao Qiu1, Zhiyong Zhang1, and Yuan Feng1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Accelerating magnetic resonance elastography (MRE) is desired for improved patient care and image quality. In this study, we proposed a multiphase radial DENSE MRE (MRD-MRE) sequence, and a compressed sensing based reconstruction algorithm using the sparsity of harmonic motion. A spatial modulation of magnetization (SPAMM) shot was applied for motion encoding together with a radial sampling scheme for acceleration. Reconstruction accuracy was improved by utilizing the temporal sparsity of harmonic motion. Phantom and brain imaging showed that an acceleration factor up to 4 could be reached. |
| 0029 | 12:00
|
Respiratory Motion-Resolved Free-Breathing MR Elastography Of Liver |
| Yi Sui1, Jiahui Li1, Joshua D. Trzasko1, Arvin Arani1, Kevin Glaser1, Phillip J. Rossman1, Ziying Yin1, Meng Yin1, and Richard L. Ehman1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States |
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A free-breathing hybrid radial-cartesian 3D MRE technique (TURBINE-MRE) was developed for MR elastography of the liver. This technique provides motion-resolved wave images and stiffness maps in single 4-minute free breathing acquisition. The feasibility of the new technique was demonstrated in healthy volunteers and a NASH patient with hepatic cirrhosis. |
| 0030 | 12:00
|
Prepared MR Elastography |
| Tanguy Boucneau1, Brice Fernandez2, Luc Darrasse1, and Xavier Maître1 | ||
1Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France, 2Applications & Workflow, GE Healthcare, Orsay, France |
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By decoupling motion and spatial encoding, magnitude contrast MR Elastography could be performed for the first time at ultrashort echo times (12 µs). On the basis of a motion-sensitizing magnetization preparation, the available total magnetic moment is sensitized to the motion induced in the tissues so the information can be efficiently carried over by the MR signal magnitude when the selected imaging pulse sequence is applied. The new paradigm allows also for shorter total acquisition times as demonstrated here in a set of homogeneous and heterogeneous phantoms with up to 5-fold acceleration factors. |
| 0031
|
12:00
|
Regional Brain Mechanical Properties Throughout Maturation from Childhood to Adulthood |
| Grace McIlvain 1, Julie M Schneider2, Melanie A Matyi 3, Melissa S DiFabio1, Peyton L Delgorio1, Matthew DJ McGarry 4, Jeffrey M Spielberg3, Zhenghan Qi2, and Curtis L Johnson1 | ||
1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Department of Linguistics, University of Delaware, Newark, DE, United States, 3Department of Psychology, University of Delaware, Newark, DE, United States, 4Thayer School of Engineering, Dartmouth College, Hanover, NH, United States |
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Brain mechanical properties are markers of microstructural health and have been extensively studied in neurodegeneration using MR elastography. However, brain mechanical changes during maturation have yet to be comprehensively explored. Here we present preliminary findings from an ongoing study which uses OSCILLATE, a fast acquisition, high-resolution sequence to characterize brain mechanical properties in people ages 5-21. We present notable regional brain mechanical property differences during development and aim to categorize brain mechanical property developmental trajectories in major anatomical structures. This data will provide a platform for brain mechanical property comparison when studying atypical maturation. |
| 0032 | 12:00
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Quantification of in-vivo myocardial stiffness in the rat heart using transient mechanical waves |
| Anna Sophie Wittgenstein1, Marco Barbero Mota2, Giacomo Annio2, Guillaume Rucher2, Rachida Aid-Launais2, Rami Mustapha3, David Alexander Nordsletten1,4, and Ralph Sinkus1,2 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2INSERM-Université de Paris, Paris, France, 3chool of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom, 4Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Habor, MI, United States |
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In vivo assessment of biomechanical properties in the left ventricle carries substantial promises for disease characterization. Its proper quantification, however, is far from straightforward. We propose an ECG-gated 3D CINE GRE sequence with motion encoding gradients (TR=7ms) and time-shifted mechanical excitation to quantify the propagation of transient shear waves at a temporal resolution of 0.7ms. In-vivo results in anesthetised rats show apparent shear waves speeds around 8m/s at mid diastole, compatible with recent human in-vivo data. |
| 0033
|
12:00
|
Stiffness and Fluidity of Hepatic Fibrosis Elucidated by In Vivo Multifrequency MR Elastography |
| Rolf Reiter1, Mehrgan Shahryari1, Heiko Tzschätzsch1, Matthias Haas1, Christian Bayerl1, Britta Siegmund2, Bernd Hamm1, Patrick Asbach1, Jürgen Braun1, and Ingolf Sack1 | ||
1Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany |
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We aimed to investigate the solid-fluid behavior of hepatic fibrosis and cirrhosis using multifrequency MR elastography. Despite the success of stiffness-based assessment of hepatic fibrosis, little is known about tissue’s solid-fluid behavior upon fibrosis. Although cirrhosis is associated with liver stiffening and, intuitively, transition towards more rigid material properties, the observed increases in fluidity and slope of shear-wave-speed-dispersion indicate abnormally high mechanical friction in cirrhotic livers. This biophysical signature might provide a prognostic imaging marker for the detection of end-stage fibrosis independent of stiffness. |
| 0034 | 12:00
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Liver Stiffness Measurement by Magnetic Resonance Elastography is not Affected by Hepatic Steatosis |
| Jie Chen1,2, Alina Allen3, Terry Therneau4, Jun Chen2, Jiahui Li2, Jingbiao Chen2, Xin Lu2, Zheng Zhu2, safa Hoodeshenas2, Sudhakar Venkatesh2, Bin Song1, Richard Ehman2, and Meng Yin2 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Devision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 4Devision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States |
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In a cross-sectional study, we investigated the relationship between pathology-assessed hepatic steatosis, MRI-assessed PDFF, and LSM with MRE in a large NAFLD population. No significant differences in LSM was found between patients with S1, S2, and S3 steatosis, and between all steatosis grades after patients were grouped according to fibrosis stage. After adjusting with fibrosis stage and age, there was no statistically significant relationship between liver stiffness and PDFF in patients with diagnosed steatosis (i.e., PDFF≥5%). LSM by MRE is not biased by increased liver fat content. |
| 0035 | 12:00
|
Tumor stiffness and stiffness change using 3D MR elastography are markers of tumor lymphocyte infiltration and immunotherapy response in HCC. |
| Paul Kennedy1, Muhammed Shareef1, Octavia Bane1, Guillermo Carbonell1, Elizabeth Miller2, Israel Lowy2, Stephen Ward1, M. Isabel Fiel1, Miriam Merad1, Thomas Marron1, and Bachir Taouli1 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Regeneron Pharmaceuticals Inc., Tarrytown, NY, United States |
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In this prospective study we correlated tumor stiffness measured in hepatocellular carcinoma with density of tumor infiltrating lymphocytes and assessed the changes in tumor stiffness in patients undergoing neoadjuvant immunotherapy prior to liver resection. We found that tumor stiffness strongly correlates with grade of tumor infiltrating lymphocytes, and that changes in tumor stiffness correlate with histopathologic response. |
| 0036 | 12:00
|
Value of Liver MR Elastography for Predicting Development of Cirrhosis and Decompensation in Patients with Alcohol-associated Liver Disease |
| Jingbiao Chen1, Mahmoud Adam Tahboub Amawi2, Xin Lu2, Jie Chen3, Jiahui Li2, Zheng Zhu2, Safa Hoodeshenas2, Jin Wang4, Douglas A Simonetto2, Vijay H Shah2, Richard L Ehman2, and Meng Yin2 | ||
1Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 2Mayo Clinic, Rochester, MN, United States, 3West China Hospital, Chengdu, China, 4the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China |
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Identifying those at high risk for the development of end-stage liver disease in patients with alcohol-associated liver disease (ALD) is of great clinical importance. We retrospectively investigated the role of MR elastography (MRE) in predicting cirrhosis or decompensated cirrhosis on a cohort of 182 ALD patients. Our preliminary results indicated that liver stiffness measured by 2D-MRE is a significant and independent prognostic factor for the future development of cirrhosis or decompensated cirrhosis. These results echoed the previous findings in other etiologies and reinforced the prognostic value of MRE in predicting advanced liver disease, which facilitates early intervention for ALD. |
| 0037
|
12:00
|
Simultaneous 18F-FDG-PET and 1H-MRSI in Temporal Lobe Epilepsy Reveals Metabolic Alterations Concordant with SEEG Epileptogenicity |
| Hui Huang1, Jia Wang1, Miao Zhang2, Wei Liu3, Lihong Tang1, Yibo Zhao4,5, Rong Guo4,5, Yudu Li4,5, Zhi-Pei Liang4,5, Yao Li1, Biao Li2, 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, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 5Beckman Institute for Advanced Sciences and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States |
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Both PET and MRSI could provide metabolic information of the epileptogenic zone, which could add value to presurgical planning of epilepsy patients. This study investigated metabolic alternations in patients with temporal lobe epilepsy (TLE) across their brain regions with different epileptogenicity, as defined using stereo-EEG (SEEG). Our experimental results showed FDG hypometabolism and NAA decrease in epileptogenic zone and propagation zone. These findings may lay a foundation for further investigation of tissue damage associated with epileptogenicity using high-resolution metabolic imaging. |
| 0038
|
12:00
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Highly Accelerated Wave-CAIPI 3D SPACE FLAIR Compared to Standard 3D SPACE FLAIR for Epilepsy Imaging at 3T |
| Augusto Lio M. Goncalves Filho1,2, Chanon Ngamsombat3, Stephen F. Cauley2, Wei Liu4, Daniel N. Splitthoff5, Wei-Ching Lo6, John E. Kirsch1, Pamela W. Schaefer1, Otto Rapalino1, Susie Y. Huang1,2, and John Conklin1,2 | ||
1Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Siriraj Hospital, Bangkok, Thailand, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5Siemens Healthcare GmbH, Erlangen, Germany, 6Siemens Medical Solutions Inc., Boston, MA, United States |
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We performed a systematic comparison of highly accelerated Wave-CAIPI 3D SPACE FLAIR versus standard 3D SPACE FLAIR for the imaging evaluation of 77 patients with seizures or established epilepsy undergoing 3T MRI. There were no significant differences between the two sequences for the detection of lesions and overall diagnostic quality, despite a 2.5- to 4-fold decrease in acquisition time using Wave-CAIPI SPACE FLAIR. The application of highly accelerated 3D imaging using Wave-CAIPI technology may improve use of MRI resources while reducing motion artifacts and patient anxiety. |
| 0039
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12:00
|
Seizure frequency in relation to effective connectivity of the hippocampal–diencephalic–cingulate in temporal lobe epilepsy |
| Yao-Chia Shih1,2,3, Fa-Hsuan Lin4,5, Aeden Kuek Zi Cheng1, Horng-Huei Liou6,7, and Wen-Yih Isaac Tseng3,7,8,9 | ||
1Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan, 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 5Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 6Department of Neurology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan, 7Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan, 8Department of Medical Imaging, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan, 9Molecular Imaging Center, National Taiwan University, Taipei, Taiwan |
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To seek neural correlates of seizure recurrence, the structural equation modeling (SEM) and resting-state functional MRI were performed to evaluate intrinsic effective connectivity (iEC) within the Papez circuit, hippocampal–diencephalic–cingulate (HDC) model, and simplified HDC model in patients with left and right temporal lobe epilepsy. We verified that the simplified HDC model was the best model to estimate iEC and found associations between seizure frequency and aberrant iEC on the paths connecting to the mammillary body. Our findings could facilitate the discovery of potential epilepsy pathways and the development of novel targeted therapies for unilateral temporal lobe epilepsy. |
| 0040 | 12:00
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Mild Traumatic Brain Injury Predisposes to Thalamic Reticular Nucleus Impairment and Thalamocortical Dysrhythmia |
| Yi-Tien Li1,2, Duen-Pang Kuo2,3, Yun-Ting Lee2, Yung-Chieh Chen2,3, Hsiao-Wen Chung4, and Cheng-Yu Chen2,3,5,6 | ||
1Neuroscience Research Center, Taipei Medical University, Taipei, Taiwan, 2Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan, 3Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan, 4Graduate Institute of Biomedical Electrics and Bioinformatics, Taipei, Taiwan, 5Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, 6Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan |
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This study is the first to provide strong evidence that thalamocortical dysrhythmia (TCD) is involved in mild traumatic brain injury (mTBI) and plays a crucial role in protracted symptoms. The impaired cortical–thalamic tracts and thalamic reticular nuclei are recognized as two pathomechanisms of TCD in mTBI. TCD-induced thalamocortical disinhibition, such as within-thalamus hyperconnectivity, widespread low-frequency thalamocortical coherence, and thalamo-default-mode network disinhibition, are associated with patients’ prolonged symptoms, which were consistently presented at 1- and 2-year follow-ups. Our systematic analysis strengthens understanding of TCD involvement in mTBI and provides future directions for diagnosis, prognosis, and treatment of long-lasting symptoms in mTBI. |
| 0041 | 12:00
|
Improvements in neuropsychological functioning and recoveries in brain structures and functions in inactive professional fighters |
| Xiaowei Zhuang1,2, Lauren Bennett3, Virendra Mishra1, Zhengshi Yang1,2, Karthik Sreenivasan1,2, Aaron Ritter1, Charles Bernick1,4, and Dietmar Cordes1,2,5 | ||
1Lou Ruvo Center For Brain Health, Cleveland Clinic, Las Vegas, NV, United States, 2University of Nevada, Las Vegas, Las Vegas, NV, United States, 3Hoag Memorial Hospital Presbyterian, Newport Beach, CA, United States, 4UW Medicine, Seattle, WA, United States, 5University of Colorado Boulder, Boulder, CO, United States |
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Longitudinal changes in fighters’ cognitive performance and brain structural (cortical thickness) and functional (seeded functional connectivity) measures following their transitions to inactive fighting status were investigated and compared with fighters who remain active. A linear mixed effect model was applied for each measure. When fighters transitioned to inactive status, improvements in cognitive performances, structural thickness measures and related functional connectivity measures are evident. In contrast, in fighters who continue to compete in professional matches, neuropsychological performances and structural and functional brain measures are observed to remain largely stable or reflect subtle declines across time points. |
| 0042 | 12:00
|
MRI-based assessment of regional patterns of cortical strain in the human brain resulting from non-impact dynamic mechanical loading |
| Ziying Yin1, Matthew C. Murphy1, Yi Sui1, Armando Manduca2, Richard L. Ehman1, and John III Huston1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States |
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There is growing recognition of morbidity resulting from subconcussive repetitive head impact (RHI). Mechanical interactions between the skull-brain interface (e.g., transmission and tethering) contribute significantly to the response of the brain to head impact. Local cortical strain concentrations would likely reflect the nearby tethering interactions at the skull-brain interface. In this study, we have developed MR elastography (MRE)-based methods that enable in vivo visualization and quantification of 3D full-volume cortical strain in response to non-impact dynamic loading. We have found that the distribution of the cortical strain is region-dependent, constituting a possible mechanism for RHI vulnerability among individuals. |
| 0043
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12:00
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Brain metabolic impairment after mild repetitive traumatic brain injury can be measured by hyperpolarized [1-13C]pyruvate and [13C]urea |
| Caroline Guglielmetti1,2, Kai Qiao1,2, Brice Tiret1,2, Karen Krukowski1,3, Amber Nolan3,4, Susanna Rosi1,3,5,6, and Myriam M. Chaumeil1,2 | ||
1Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, United States, 2Department of Radiology and Biomedical Sciences, University of California San Francisco, San Francisco, CA, United States, 3Brain and Spinal Injury Center, University of California San Francisco, San Francisco, CA, United States, 4Department of Pathology, University of California San Francisco, San Francisco, CA, United States, 5Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 6Weill institute for Neuroscience, University of California San Francisco, San Francisco, CA, United States |
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We used hyperpolarized 13C magnetic resonance spectroscopic imaging (HP 13C MRSI), T1- and T2-MRI to detect brain alterations in a mouse model of mild repetitive traumatic brain injury (rTBI). T1/T2-MRI did not detect brain damages. HP 13C MRSI detected metabolic changes in cortical areas, with decreased HP lactate/pyruvate and pyruvate dehydrogenase activity in rTBI. Interestingly, HP pyruvate and HP urea increased in rTBI, suggesting vascular and/or blood brain barrier alterations. Altogether, we demonstrated that HP 13C MRSI has potential to detect long-lasting metabolic alterations following rTBI and holds great potential for improving diagnosis and monitoring of rTBI in clinical practice. |
| 0044
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12:00
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Assessing the impact of cerebro-cerebellar and long association fibers in Temporal Lobe Epilepsy: a tractography based study |
| Nicolò Rolandi1, Fulvia Palesi1,2, Francesco Padelli3, Isabella Giachetti3, Domenico Acquino3, Paul Summers4, Giancarlo Germani4, Gerardo Salvato1,5,6, Valeria Mariani5, Pina Scarpa5,6, Egidio D'Angelo1,2, Gabriella Bottini1,5,6, Laura Tassi5, Paolo Vitali4,7, and Claudia Angela Michela Gandini Wheeler-Kingshott1,2,8 | ||
1Department of Brain and Behavioral Science, University of Pavia, Pavia, Italy, 2Brain Connectivity Center Research Deparment, IRCCS Mondino Foundation, Pavia, Italy, 3I.R.C.C.S. Istituto Neurologico Carlo Besta, Milano, Italy, 4Neuroradiology Unit, IRCCS Mondino Foundation, Pavia, Italy, 5Hospital Niguarda, Milano, Italy, 6Milan Center for Neuroscience, Milano, Italy, 7Department of Radiology, IRCCS Policlinico San Donato, Milano, Italy, 8NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of brain Sciences, University College London (UCL), London, United Kingdom |
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Advance tractography were performed on cerebro-cerebellar and long association fibers, characterized with diffusion tensor imaging, diffusion kurtosis imaging and NODDI parameter maps. The aim of this work is investigate whether white matter alterations of specific tracts can be selectively related to disfunction of declarative long term memory. Our findings show how relationship between microstructural alterations and neuropsychological scores should be investigated taking account in specific area of white matter restriced to tracts or bundle. |
| 0045
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12:00
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Evaluation of T1 and T2 from MR Fingerprinting as Markers for Predicting Patient Recovery in Mild Traumatic Brain Injury |
| TERESA GERHALTER1, Martijn Cloos2, Seena Dehkharghani1, Anna M. Chen1, Rosermary Peralta1, Fatemeh Adlparvar1, James S. Babb1, Tamara Bushnik3, Jonathan M. Silver4, Brian S. Im3, Stephen P. Wall5, Guillaume Madelin1, and Ivan Kirov1 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, NEW YORK, NY, United States, 2Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 3Department of Rehabilitation Medicine, New York University Grossman School of Medicine, NEW YORK, NY, United States, 4Department of Psychiatry, New York University Grossman School of Medicine, NEW YORK, NY, United States, 5Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, NEW YORK, NY, United States |
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We analyzed brain MRI data including clinical imaging and MR fingerprinting (MRF) of 22 mild traumatic brain injury (mTBI) patients measured ~1 month after injury and 18 healthy controls. T1 and T2 values in mTBI were not significantly different from controls’. However, increased T1 of three brain regions enabled the identification of non-recovered patients at 3-months (AUC=0.80-0.88). This suggests that T1 quantification is more sensitive to mTBI damage than T2, and is a potential candidate to predict patient outcome. |
| 0046
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12:00
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Alterations in Network Connectivity Within Special Forces Military Personnel: A Combined Resting-FMRI and DTI Study |
| Allen A Champagne1, Nicole S Coverdale2, Andrew Ross3, Christopher I Murray3, Isabelle Vallee4, and Douglas J Cook5 | ||
1School of Medicine, Queen's University, Kingston, ON, Canada, 2Center for Neuroscience Studies, Queen's University, Kingston, ON, Canada, 3Performance Phenomics, Toronto, ON, Canada, 4National Defence Headquarters, Ottawa, ON, Canada, 5Department of Surgery, Queen’s University, Kingston, ON, Canada |
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Chronic exposure to head trauma in Special Forces personnel may provide a mechanism for changes in connectivity making-up the architectural organization of functional hubs. Here, resting-state MRI and diffusion tensor imaging are integrated to highlight interdependent differences in functional and structural connectivity of Canadian military Special Operations Forces personnel, when compared to civilian. Changes in white matter integrity of fibers directly connecting functional nodes were observed, which may explain, at least in part, changes in functional markers within networks. These findings suggest a potential structural compensatory relationship between axonal injury and neural recruitment following head trauma from high-exposure military duties. |
12:00
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MR Perfusion in Glioma Management | |
| Kentaro Akazawa1 | ||
1Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan |
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Magnetic resonance (MR) perfusion identifies tumor angiogenesis or the proliferation of abnormal vessels in tumors. Of the various techniques devised for evaluating cerebral perfusion imaging, the dynamic susceptibility contrast (DSC) method has been employed most widely in clinical practice. DSC perfusion is used to generate hemodynamic parameters such as relative cerebral blood volume (rCBV). CBF maps can be used to assess neovascularity in tumors, which is thought to correlate with tumor grade and malignant histology. This talk will provide knowledge on how DSC perfusion can be useful in the glioma management in a variety of clinical conditions. |
12:30
|
Review of Perfusion & MR Placental Imaging | |
| Oliver Wieben1 | ||
1Medical Physics & Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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The placenta is immensely important, affecting not just pregnancy, but lifelong health. Yet it is the least understood, and least studied, of all human organs. Quantitative MRI and particular perfusion MRI is well positioned to provide useful information in identifying placenta abnormalities, possibly even early in pregnancy. This presentation will review the unique challenges and opportunities for perfusion MRI in the placenta, including approaches with exogeneous and endogenous tracers. |
13:00
|
DCE-MR | |
| Sadhna Verma1 | ||
1University of Cinncinnati Medical Center, Cinncinnati, OH, United States |
13:30
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Cardiac MR Perfusion: Updates | |
| Frederick H. Epstein1 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States |
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First-pass MRI utilizes ECG-gated saturation-recovery gradient-echo or SSFP imaging applied immediately upon intravenous injection of gadolinium, enabling the visual or quantitative assessment of myocardial perfusion. For multislice coverage with high spatiotemporal resolution, acceleration is required. While parallel imaging is standard, compressed sensing, multiband, and/or non-Cartesian trajectories provide improvements, and deep learning may facilitate rapid reconstruction. Perfusion quantification is important in three-vessel and microvascular disease, and recent deep-learning-based pipelines promise to make quantification routine. Clinically, while superiority compared to SPECT was demonstrated in 2012, recently noninferiority compared to fractional flow reserve for guiding coronary revascularization was shown, representing another major advance. |
| 0047
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12:00
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Measurement of Blood-Brain Barrier Disruption in Cats with an Inherited Neurodevelopmental Abnormality using Magnetization Transfer-ASL at 7T |
| Sultan Zaman Mahmud1,2, Emily C. Graff3,4, Douglas R. Martin4,5, Thomas S. Denney1,2, and Adil Bashir1,2 | ||
1Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 2Auburn University MRI Research Center, Auburn University, Auburn, AL, United States, 3Department of Pathobiology, Auburn University, Auburn, AL, United States, 4Scott-Ritchey Research Center, Auburn University, Auburn, AL, United States, 5Department of Anatomy, Physiology and Pharmacology, Auburn University, Auburn, AL, United States |
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The blood-brain barrier (BBB) plays a vital role in regulating nutrient transport and acts as a barrier to potentially harmful molecules. Disruption of the BBB alters normal neurodevelopment and neuronal function. Protein enriched in astrocytes 15-kDa (PEA15) is crucial in normal neurodevelopment of cats, and cats with a PEA15 loss-of-function (PEA15-/-) have structural brain abnormalities and behavioral defects. We have previously demonstrated a non-invasive MRI technique to measure BBB permeability in humans. The goal of this study is to investigate if this technique can detect differences in microvascular cerebral blood flow and BBB in PEA15-/- cats compared to PEA15+/+. |
| 0048
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12:00
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MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Further Development and Feasibility Study on Brain Cancer |
| Zhehao Hu1,2, Anthony Christodoulou1,2, Nan Wang1, Yibin Xie1, Tianle Cao1,2, Marcel Maya3, Wensha Yang4, Debiao Li1,2, and Zhaoyang Fan1,4,5 | ||
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, 3Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 5Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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DSC-MRI and DCE-MRI provide perfusion- and permeability-related parameters, respectively, and are evolving as increasingly common modalities for evaluating a variety of brain cancer diseases. Their different but complementary information may form a more complete basis for evaluation of the complex and heterogeneous tumor microenvironment. However, acquiring both in one exam requires two separate scans as well as two contrast injections. In this work, we propose an MR MultiTasking based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE) technique that provides DCE- and leakage-corrected DSC-MRI parameters simultaneously with one 7.6-minute scan and a single-dose contrast injection. |
| 0049
|
12:00
|
Free-Breathing Motion-Informed Quantitative 3D Myocardial Perfusion Imaging |
| Tobias Hoh1, Valery Vishnevskiy1, Maximilian Fuetterer1, and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering (IBT), University and ETH Zurich, Zurich, Switzerland |
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Three-dimensional perfusion CMR requires acceleration methods to enable whole-heart coverage in short acquisition windows, which often rely on data correlation among adjacent time-frames. However, in free-breathing examinations, respiratory motion leads to inconsistencies in the shared data and compromises image quality. In this work, non-rigid organ motion is incorporated into a patch-based locally low-rank reconstruction algorithm as a transformation displacement field for each time frame. This motion-informed locally low-rank reconstruction, combined with Cartesian pseudo-spiral k-t undersampling, is proposed as a dual-sequence acquisition framework to enable quantitative free-breathing whole-heart perfusion CMR. Feasibility is demonstrated in simulations, and volunteers in rest and stress. |
| 0050
|
12:00
|
Whole heart SMS-bSSFP perfusion imaging with high resolution at 1.5T |
| Sarah McElroy1, Giulio Ferrazzi2, Muhummad Sohaib Nazir1, Carl Evans1, Filippo Bosio1, Nabila Mughal1, Karl P Kunze3, Radhouene Neji3, Peter Speier4, Daniel Stäb5, Christoph Forman4, Pier Giorgio Masci1, Reza Razavi1, Amedeo Chiribiri1, and Sébastien Roujol1 | ||
1King's College London, London, United Kingdom, 2IRCCS San Camillo Hospital, Venice, Italy, 3Siemens Healthcare Limited, Frimley, United Kingdom, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Siemens Healthcare Ltd, Melbourne, Australia |
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First-pass cardiac magnetic resonance (CMR) perfusion imaging is widely used for non-invasive assessment of coronary artery disease (CAD). Conventional CMR perfusion sequences are limited in spatial coverage and resolution. We have developed a SMS-bSSFP sequence with a total acceleration factor of 16 (multiband (MB) acceleration of 3 x in-plane acceleration of 5.5) and compressed sensing reconstruction to enable 1.5 T CMR perfusion with whole-heart coverage and high (1.4 x 1.4 mm2) in-plane spatial resolution. The results from a preliminary study in 6 patients comparing the proposed acquisition against a conventional 3-slice acquisition are presented. |
| 0051 | 12:00
|
Improved Dynamic Contrast Enhanced MRI Using Low Rank with Joint Sparsity Reconstruction |
| Jichang Zhang1, Faisal Najeeb2, Xinpei Wang1, Pengfei Xu1, Hammad Omer2, Penny Gowland 3, Sue Francis3, Paul Glover3, Richard Bowtell3, and Chengbo Wang1 | ||
1SPMIC, The University of Nottingham Ningbo China, Ningbo, China, 2COMSATS University Islamabad, Islamabad, Pakistan, 3SPMIC, The University of Nottingham, Nottingham, United Kingdom |
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This work presents a free breathing Dynamic Contrast Enhanced MRI (DCE-MRI) reconstruction method called L+S (Low rank plus sparse) with joint sparsity, which improved dynamic contrast performance through integrating an additional temporal Fast Fourier Transform (FFT) constraint by extending the standard L+S decomposition method. Fast Composite Splitting Algorithm (FCSA) is implemented to solve the L+S optimization problem in proposed method, and to minimize the computation complexity from joint sparsity constraints. The proposed method achieved high spatial-temporal resolution, high reconstruction efficiency and improved dynamic contrast simultaneously when comparing with other methods in reconstructing a simulated phantom dataset and a DCE-MRI dataset. |
| 0052 | 12:00
|
Linear Time Invariant Model based Motion Compensation for Renal Function Estimation with DCE-MRI |
| Jaume Coll-Font1, Onur Afacan1, Jeanne Chow1, Richard S Lee1, Simon K Warfield1, and Sila Kurugol1 | ||
1Boston Children's Hospital and Harvard Medical School, Boston, MA, United States |
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Heavy breathing or large bulk motion of infants during acquisition of renal DCE-MRI causes misalignment between volumes, degrades image quality, and reduces the accuracy of estimated quantitative parameters of kidney function. We proposed a robust LTI model-based registration algorithm for motion correction, which improved the temporal stability of the concentration time curves, resulting in improved estimation of tracer kinetic model parameters such as renal filtration rate. |
| 0053
|
12:00
|
Diffusion weighted and kurtosis breast cancer imaging for b=0-1800 s/mm2: Comparisons to dynamic contrast enhanced MRI |
| Martins Otikovs1, Noam Nissan2, Edna Furman-Haran1, Debbie Anaby2, Tanir M. Allweis3, Ravit Agassi4, Miri Sklair-Levy2,5, and Lucio Frydman1 | ||
1Weizmann Institute of Science, Rehovot, Israel, 2Sheba Medical Center, Ramat Gan, Israel, 3Kaplan Medical Center, Rehovot, Israel, 4Ben Gurion University Hospital, Beer Sheba, Israel, 5Tel Aviv University, Tel Aviv, Israel |
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Spatiotemporal encoding (SPEN) is an alternative ultrafast imaging technique which allows to overcome distortions otherwise observed along EPI’s phase-encoded dimension, and to perform self-referenced phase corrections in interleaved diffusion weighted imaging (DWI) scans. This study compares SPEN’s performance against multishot read-out segmented EPI (RESOLVE), with an emphasis on high-b-valued DWI and diffusion kurtosis imaging in the context of breast cancer imaging. The results show SPEN’s advantages for delivering kurtosis maps that provide a separation between cancerous and healthy tissues. The potential of using SPEN DW images acquired with high b-values as an alternative to DCE subtractions is also assessed. |
| 0054
|
12:00
|
Impact of retrospective gradient nonlinearity correction on lesion ADCs and performance in the ECOG-ACRIN A6702 multicenter breast DWI trial |
| Debosmita Biswas1, Justin Romanoff2, Dariya Malyarenko3, Wesley Surrento4, Habib Rahbar1, Nola Hylton5, David C Newitt5, Thomas L Chenevert3, and Savannah C Partridge1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Center for Statistical Sciences, Brown University, Providence, RI, United States, 3Radiology, University of Michigan, Ann Arbor, MI, United States, 4Biomedical and Health Informatics, University of Washington, Seattle, WA, United States, 5Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States |
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Gradient nonlinearity (GNL) correction shows potential to improve the accuracy of ADC values collected across different MRI platforms. Here, we retrospectively applied GNL correction to breast DWI datasets collected in the ECOG-ACRIN A6702 trial by pixel-wise scaling of the ADC map with correction factor map. Our findings confirm that GNL significantly impacts multicenter breast lesion ADC values, and that GNL-based ADC errors vary significantly across MRI vendors and gradient systems. Therefore, GNL correction is important for implementation of generalizable ADC thresholds for separating benign and malignant lesions. |
| 0055
|
12:00
|
Breast MRI functional tumor volume segmentation quality may impact the prediction of pathological complete response |
| Natsuko Onishi1, Jessica Gibbs1, Teffany Joy Bareng1, Wen Li1, Elissa R. Price1, Bonnie N. Joe1, Laura J. Esserman2, The I-SPY 2 Consortium3, David C. Newitt1, and Nola M. Hylton1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Surgery, University of California, San Francisco, San Francisco, CA, United States, 3Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
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In the I-SPY2 neoadjuvant breast cancer trial, functional tumor volume (FTV) derived from dynamic contrast-enhanced MRI serves as a key marker. Participants in I-SPY2 have the option to “de-escalate” therapy if achievement of pathological complete response (pCR) is highly likely at inter-regimen time point. A model combining FTV-based predictive probabilities with inter-regimen core-biopsy pathology is central to select candidates for this option. This retrospective study compared the performance of longitudinal FTVs in predicting pCR between optimal and non-optimal FTV segmentation groups. The results suggest that improvements to FTV segmentation can improve FTV’s ability to provide predictive guidance for treatment de-escalation. |
| 0056
|
12:00
|
Evaluating pCR after neoadjuvant systemic treatment of invasive breast cancer using DWI in comparison to DCE-based kinetic analysis |
| Rie Ota1, Masako Kataoka1, Maya Honda1, Mami Iima1, Kanae Kwai Miyake1, Akane Ohashi2, Yosuke Yamada3, Masakazu Toi4, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University graduate school of medicine, Kyoto, Japan, 2Kyoto Medical Center, Kyoto, Japan, 3Department of Pathology, Kyoto University Hospital, Kyoto, Japan, 4Department of Breast Surgery, Kyoto University Hospital, Kyoto, Japan |
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This study aimed to examine the performance of DWI in diagnosing pCR before surgery. Kinetic analysis from standard DCE-MRI were analyzed for comparison. ROC analysis for diagnosing pCR based on DWI score/Kinetic score by two readers was performed. Kinetic score showed slightly higher AUC while 95% confidence interval overlapped with that of DWI score. Both kinetic score and DWI score demonstrated excellent diagnostic performance among triple negative subtype compared to other subtypes. |
| 0057 | 12:00
|
Multiparametric MRI signatures of immune response in patients with HER2+ breast cancer treated with trastuzumab |
| Bonny Chau1, Debosmita Biswas1, Anum S. Kazerouni1, Daniel S. Hippe1, Rebeca Alvarez1, Suzanne Dintzis1, Laura C. Kennedy2, Vijayakrishna Gadi3, and Savannah C. Partridge 1 | ||
1University of Washington, Seattle, WA, United States, 2Vanderbilt University, Nashville, TN, United States, 3University of Illinois, Chicago, IL, United States |
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We investigated the relationship between immune infiltration and imaging metrics derived from breast MRI in patients with HER2+ breast cancer treated with trastuzumab. Fourteen patients with localized HER2+ breast cancer were imaged with diffusion-weighted and dynamic contrast-enhanced (DCE-) MRI prior to and ~2 weeks after a run-in dose of trastuzumab. Pre-treatment ADC and change in DCE-MRI peak percent enhancement were both significantly associated with immune response as characterized by change in level of tumor infiltrating lymphocytes. |
| 0058 | 12:00
|
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning |
| Jiejie Zhou1, Yan-Lin Liu2, Yang Zhang2, Jeon-Hor Chen2,3, Freddie J. Combs2, Ritesh Parajuli4, Rita S. Mehta4, Huiru Liu1, Zhongwei Chen1, Youfan Zhao1, Meihao Wang1, and Min-Ying Su2 | ||
1Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan, 4Department of Medicine, University of California, Irvine, CA, United States |
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A total of 150 lesions, 104 malignant and 46 benign, presenting as non-mass-like enhancements were analyzed. Three radiologists performed BI-RADS reading for the morphological distribution and internal enhancement pattern. For each case, the 3D tumor mask was generated using Fuzzy-C-Means segmentation. Three DCE parametric maps were generated, and PyRadiomics was applied to extract features. The radiomics model was built using 5 different machine learning algorithms. ResNet50 was implemented using three parametric maps as input. SVM yielded the highest accuracy of 80.4% in training, 77.5% in testing datasets. ResNet50 had better diagnostic performance, 91.5% in training, and 83.3% in testing datasets. |
| 0059
|
12:00
|
Radiomics based classification of breast mass with a multiparametric MRI protocol with DCE-MRI, T2, and DWI |
| Jing Zhang1, Chenao Zhan2, Tao Ai2, Xu Yan3, and Guang Yang1 | ||
1Shanghai key lab of magnetic resonance, shanghai, China, 2Tongji Medical College, Huazhong University of Science and Technology, Department of Radiology，Tongji Hospital, Wuhan, Hubei Province, China, 3Siemens Healthcare, MR Scientific Marketing, shanghai, China |
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DCE is the most useful MRI sequence for breast cancer diagnosis, but it often suffers from a high rate of false positive. To overcome this problem, we combined radiomics features from DCE, T2W, and DWI images to build a new machine learning model for differentiation of breast cancer. Our model achieved an AUC of 0.948 in an internal test cohort and 0.944 in an external test cohort, and reduced the false positive rate effectively. It was also found, first-order and texture features from ADC map made significant contributions to the model, suggesting the value ADC in breast cancer classification. |
| 0060 | 12:00
|
Predicting Gadolinium Contrast Enhancement for Structural Lesion Analysis using DeepContrast |
| Dipika Sikka1,2, Nanyan Zhu3, Chen Liu4, Scott Small5, and Jia Guo6 | ||
1Department of Biomedical Engineering, Columbia University, New York, NY, United States, 2VantAI, New York, NY, United States, 3Department of Biological Sciences and the Taub Institute, Columbia University, New York, NY, United States, 4Department of Electrical Engineering and the Taub Institute, Columbia University, New York, NY, United States, 5Department of Neurology, the Taub Institute, the Sergievsky Center, Radiology and Psychiatry, Columbia University, New York, NY, United States, 6Department of Psychiatry, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States |
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Gadolinium-based contrast agents (GBCAs) have facilitated an improved analysis and understanding of structural lesions, however, present safety risks due to the tissue retention of GBCAs. Here we optimize and apply the deep learning model, DeepContrast, to predict gadolinium uptake in brain and breast structural lesions for structural lesion enhancement. The optimized DeepContrast models predict gadolinium uptake that is comparable to ground-truth scans consisting of the uptake from the GBCAs, using a single T1-weighted pre-contrast scan. |
| 0061 | 12:00
|
Multimodal magnetic resonance elastography and optical imaging of breast cancer |
| Bin Deng1,2,3, Mansi Saksena2,3, Steven Jay Isakoff3,4, Ralph Sinkus5, Samuel Patz3,6, and Stefan Alexandru Carp1,2,3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Cancer Center, Massachusetts General Hospital, Boston, MA, United States, 5Laboratory for Vascular Translational Science (LVTS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France, 6Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States |
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Breast cancers are complex, evolving systems characterized by profound spatial and temporal heterogeneity in their biological nature. A multimodal multiparametric approach is needed to synergistically use imaging methods with different biophysical basis to simultaneously quantify multiple aspects of tumor physiology. We built a custom breast coil to allow multimodal near-infrared diffuse optical tomography and MR elastography imaging of human breast. Results of a three-inclusion dual-contrast phantom showed clear contrasts in reconstructed mechanical and optical properties as expected. Data on a breast cancer patient showed collocated hemoglobin and stiffness contrast at the tumor location. |
| 0062 | 12:00
|
Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer. |
| Nabil Elshafeey1, Gaiane M. Rauch2, Aikaterini Kotrotsou3, Beatriz E. Adrada1, Rosalind P. Candelaria1, Abeer H. Abdelhafez1, Huiqin Chen4, Jia Sun4, Medine Boge1, Rania M. M Mohamed1, Benjamin C. Musall5, Jong Bum Son5, Shu Zhang6, Jason B. White7, Brandy Willis5, Elizabeth Ravenberg7, Wei Peng4, Stacy L. Moulder7, Wei Yang1, Mark D. Pagel6, Jingfei Ma5, and Ken-Pin Hwang5 | ||
1Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Breast and Abdominal imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 5Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 6Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 7Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Early identification of treatment response to neoadjuvant systemic therapy (NAST) in Triple Negative Breast Cancer (TNBC) patients is important for appropriate treatment selection and response monitoring. In this study we evaluated the ability of a radiomic model extracted from a novel sequence, Magnetic Resonance Image Compilation (MAGIC), acquired before treatment initiation, to predict NAST response in TNBC. Our results showed that the radiomic signature derived from MAGIC maps (T1, PD and T2) can help differentiate responders from non-responders at baseline evaluation. |
12:00
|
Towards Unifying Models of Brain Architecture, Dynamics & Cognitive (Dys)function | |
| Michael Breakspear | ||
| University of Newcastle | ||
12:30
|
The Virtual Brain to Explain the Normal & Diseased Brain | |
| Viktor Jirsa | ||
| AIX-Marseille University | ||
13:00
|
Brain Computational Models: Integrating Micro- & Macro-Scale Phenomena | |
| Egidio D'Angelo | ||
| University of Pavia | ||
13:00
|
MR Neurography: Technique | |
| Gustav Andreisek | ||
| Cantonal Hospital Munsterlingen | ||
13:30
|
Upper & Lower Extremity Peripheral Nerve Anatomy | |
| O. Kenechi Nwawka | ||
| Hospital for Special Surgery | ||
14:00
|
MR Imaging of Traumatic Peripheral Neuropathy | |
| Marcelo Bordalo | ||
| University of São Paulo Medical School | ||
14:30
|
Imaging of Infections/Inflammatory Peripheral Neuropathies | |
| Swati Deshmukh | ||
| Northwestern University | ||
15:00
|
Imaging of Sports-Related Peripheral Neuropathy | |
| Amanda Isaac | ||
| King's College London | ||
15:30
|
MRI of Peripheral Nerve Tumours: Approach to Diagnosis Using Basic to Advanced Imaging | |
| Laura Fayad | ||
| Johns Hopkins University | ||
16:00
|
Interventional MR Neurography-Applied Precision Medicine | |
| Jan Fritz | ||
| New York University | ||
| 0063
|
14:00
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Results of the 2020 fastMRI Brain Reconstruction Challenge |
| Bruno Riemenschneider1, Matthew Muckley2, Alireza Radmanesh1, Sunwoo Kim3, Geunu Jeong3, Jingyu Ko3, Yohan Jun4, Hyungseob Shin4, Dosik Hwang4, Mahmoud Mostapha5, Simon Arberet5, Dominik Nickel6, Zaccharie Ramzi7,8, Philippe Ciuciu7, Jean-Luc Starck7, Jonas Teuwen9, Dimitrios Karkalousos10, Chaoping Zhang10, Anuroop Sriram11, Zhengnan Huang1, Nafissa Yakubova2, Yvonne W. Lui1, and Florian Knoll1 | ||
1NYU School of Medicine, New York, NY, United States, 2Facebook AI Research, New York, NY, United States, 3AIRS Medical, Seoul, Korea, Republic of, 4Yonsei University, Seoul, Korea, Republic of, 5Siemens Healthineers, Princeton, NJ, United States, 6Siemens Healthcare GmbH, Erlangen, Germany, 7CEA (NeuroSpin) & Inria Saclay (Parietal), Université Paris-Saclay, Gif-sur-Yvette, France, 8Département d’Astrophysique, CEA-Saclay, Gif-sur-Yvette, France, 9Radboud University Medical Center, Nijmegen, Netherlands, 10Amsterdam UMC, Amsterdam, Netherlands, 11Facebook AI Research, Menlo Park, CA, United States |
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The next round of the fastMRI reconstruction challenge took place, this time using anatomical brain data. Submissions were ranked by SSIM and resulting finalists again by 6 radiologists. We observed the cases with clear SSIM separation achieving the highest radiologists’ rankings, in particular the winning reconstructions. Most 4x track reconstructions exhibit desirable image quality, with some exceptions that show anatomy-like hallucinations. Radiologist sentiment decreased for the 8x and Transfer tracks, indicating that these may require further investigation. |
| 0064
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14:00
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Region-Optimized Virtual (ROVir) Coils: Application of Sensor-Domain Beamforming for Localizing and/or Suppressing Spatial Regions |
| Daeun Kim1, Stephen F. Cauley2, Krishna S. Nayak1, Richard M. Leahy1, and Justin P. Haldar1 | ||
1Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States |
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MRI acquisitions often incidentally excite spatial regions that are not interesting for the application. This unnecessary magnetization can lead to artifacts and/or prolonged acquisitions. We propose a novel virtual-coil approach, called region-optimized virtual (ROVir) coils, that can localize signal from an ROI and/or suppress signal from unwanted spatial regions while also providing coil compression. This is achieved using optimal beamforming principles (without requiring modification of pulse sequences or imaging hardware), and can be applied directly to k-space data, which enables simplified image reconstruction. We illustrate ROVir with reduced-FOV imaging, demonstrating capabilities to suppress aliasing artifacts from outside the nominal FOV. |
| 0065
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14:00
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Compact Maps: A Low-Dimensional Approach for High-Dimensional Time-Resolved Coil Sensitivity Map Estimation |
| Shreya Ramachandran1, Frank Ong2, and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States |
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Dynamic MRI reconstruction techniques often use static coil sensitivity maps, but physical sensitivities can change substantially with respiratory and other subject motion. However, time-resolved sensitivity maps occupy a very large amount of memory, and hence, directly employing these maps is often impractical, especially on memory-limited GPUs. Here, we introduce a technique that solves for a compact representation of time-resolved sensitivity maps by leveraging a temporal basis for sensitivity kernels. Our proposed Compact Maps are significantly cheaper (by ~1000x) to store in memory than conventional time-resolved maps and result in lower calibration error and reconstruction error than do time-averaged maps. |
| 0066
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14:00
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Coil Sketching for fast and memory-efficient iterative reconstruction |
| Julio A. Oscanoa1,2, Frank Ong3, Zhitao Li2,3, Christopher M. Sandino3, Daniel B. Ennis2,4, Mert Pilanci3, and Shreyas S. Vasanawala2 | ||
1Department of Bioengineering, Stanford University, Stanford, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 4Cardiovascular Institute, Stanford, CA, United States |
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Parallel imaging and compressed sensing reconstruction of large datasets has a high computational cost, especially for 3D non-Cartesian acquisitions. This work is motivated by the success of iterative Hessian sketching methods in machine learning. Herein, we develop Coil Sketching to lower computational burden by effectively reducing the number of coils actively used during iterative reconstruction. Tested with 2D radial and 3D cones acquisitions, our method yields considerably faster reconstructions (around 2x) with virtually no penalty on reconstruction accuracy. |
| 0067
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14:00
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Fast Calibrationless Image-space Reconstruction by Structured Low-rank Tensor Estimation of Coil Sensitivity and Spatial Support |
| Zheyuan Yi1,2,3, Yujiao Zhao1,2, Yilong Liu1,2, Yang Gao1,2, Mengye Lyu4, Fei Chen3, and Ed X Wu1,2 | ||
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 Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China, 4College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, China |
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In conventional parallel imaging, coil sensitivity information can be obtained from calibration data for reconstruction that inevitably prolongs MRI scan. In recent years, structured low-rank matrix completion methods implicitly exploit coil sensitivity that enables calibrationless k-space estimation while prohibitively increases the computational burden. This study presents a fast and calibrationless image-space alternative for reconstruction that derives high-quality coil sensitivity and spatial support maps by structured low-rank tensor estimation. The proposed approach was evaluated with multi-channel multi-contrast brain datasets. It achieves a high convergence rate with significantly reduced reconstruction time, making the calibrationless reconstruction approach more efficient in clinical practice. |
| 0068
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14:00
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Data-driven motion-corrected brain MRI incorporating pose dependent B0 fields |
| Yannick Brackenier1,2, Lucilio Cordero-Grande1,2,3, Raphael Tomi-Tricot1,2,4, Tom Wilkinson1,2, Jan Sedlacik1,2, Philippa Bridgen1,2, Sharon Giles1,2, Shaihan Malik1,2, Enrico De Vita1,2, and Joseph V Hajnal1,2 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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A fully data-driven retrospective motion correction reconstruction for volumetric brain MRI at 7T that includes modelling of pose-dependent changes in polarising magnetic (B0) fields in the head has been developed. Building on the DISORDER framework, the use of a physics-based B0 model constrains the number of unknowns to be found, enabling motion correction based solely on data-consistency without requiring any additional probe- or navigator-data. The proposed reconstruction was validated on an in-vivo spoiled gradient echo acquisition in which the subject deliberately moved. Substantial removal of motion artefacts was achieved. |
| 0069
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14:00
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Manifold learning via tangent space alignment for accelerated dynamic MR imaging with highly undersampled (k,t)-data |
| Yanis Djebra1,2, Isabelle Bloch2,3, Georges El Fakhri1, and Chao Ma1 | ||
1Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2LTCI, Telecom Paris, Institut Polytechnique de Paris, Paris, France, 3LIP6, Sorbonne University, CNRS, Paris, France |
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Many unsupervised learning methods have been proposed to discover the structure of manifolds embedded in high-dimensional input spaces. However, image reconstruction requires mapping the learned low-dimension data in the feature space back to the input space, which can be challenging if the mapping function is implicit. This work presents an image reconstruction scheme closely related to machine learning methods learning manifolds via tangent space alignment. Here, the mapping transform is explicit and learned from the data. This model is a nonlinear generalization of the Low-Rank matrix/tensor model, reconstructing undersampled MR data with lower rank than the standard Low-Rank reconstruction. |
| 0070
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14:00
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One-heartbeat cardiac CINE imaging via jointly regularized non-rigid motion corrected reconstruction |
| Gastao Cruz1, Kerstin Hammernik2,3, Thomas Kuestner1, Daniel Rueckert2,3, René M. Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Technical University of Munich, Munich, Germany, 3Department of Computing, Imperial College London, London, United Kingdom |
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Motion-resolved reconstructions are standard for cardiac CINE imaging by splitting data into multiple cardiac phases across several heartbeats. Consequently, the reconstruction of each phase is highly ill-posed, since only a subset of the data are used to reconstruct it. In this work a novel motion corrected framework is developed for highly accelerated cardiac CINE imaging. Each cardiac phase is reconstructed with a motion corrected reconstruction and jointly regularized with every other motion corrected cardiac phase via a non-rigidly aligned patch-based denoiser. This approach leads to a substantial improvement in image quality, enabling highly accelerated CINE images from a single heartbeat. |
| 0071
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14:00
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Fourier-based decomposition approach for simultaneous acquisition of 1H spectra from two voxels in vivo at short echo times |
| Layla Tabea Riemann1, Christoph Stefan Aigner1, Ralf Mekle2, Sebastian Schmitter1,3, Bernd Ittermann1, and Ariane Fillmer1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 2Center for Stroke Research Berlin, Charité Universitätsmedizin, Berlin, Germany, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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In this work, a Fourier-based technique for 1H MR spectroscopy based on split-slice-GRAPPA is introduced to decompose simultaneously acquired dual-voxel data. In contrast to the existing sensitivity-map-based approach, this technique does not need any additional image acquisitions. The autocalibration lines are derived by additional low SNR spectral data. 2SPECIAL was used to simultaneously acquire data from two voxels at short echo times. The proposed decomposition algorithm was first validated in a multi-compartment phantom, and its application was then demonstrated at 7T in vivo. |
| 0072
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14:00
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Optimized Subspace-Based J-Resolved MRSI for Simultaneous Metabolite and Neurotransmitter Mapping |
| Zepeng Wang1,2, Yahang Li1,2, and Fan Lam1,2 | ||
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, Urbana, IL, United States |
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J-resolved 1H-MRSI offers improved molecular specificity by encoding the J-coupling evolution of different molecules at multiple TEs. The addition of another encoding dimension poses both challenges and flexibility for optimizations in data acquisition and reconstruction. This work presents further optimized J-resolved MRSI acquisition and reconstruction strategies for high-resolution, 3D metabolite, and neurotransmitter mapping. Specifically, estimation-theoretic TE selection within a union-of-subspaces (UoSS) framework was analyzed for optimized separation of metabolite and neurotransmitter signals. Both simulation and in vivo studies have been conducted. Promising results in terms of simultaneously high-resolution mapping of major metabolites, Glx, and GABA are provided. |
| 0073 | 14:00
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Altered pH in early Alzheimer’s disease detected by creatine chemical exchange saturation transfer magnetic resonance imaging |
| Lin Chen1,2, Peter C.M. van Zijl1,2, Zhiliang Wei1,2, Hanzhang Lu1,2, Wenzhen Duan3, Philip C. Wang4,5, Tong Li4,5, and Jiadi Xu1,2 | ||
1Department of Radiology and Radiological Science, Johns Hopkins University, 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, Baltimore, MD, United States, 4Department of Pathology, Johns Hopkins University, Baltimore, MD, United States, 5Department of Neuroscience, Johns Hopkins University, Baltimore, MD, United States |
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We demonstrate the feasibility of creatine chemical exchange saturation transfer (CrCEST) MRI in detecting altered pH in Alzheimer’s disease (AD) mouse brain. In two early-stage AD models, namely Tau and APP mice, CrCEST contrast in the brain was significantly reduced compared to that of WT mice at 6-7 months (P<0.007). From MRS experiments, the brain creatine concentration between WT and AD mice was the same within error, which indicates that the reduced CrCEST contrast in the AD brain can be contributed mainly to pH reduction. Immunohistochemical analysis showed neuroinflammation in the APP mice, a potential factor for causing pH reduction. |
| 0074
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14:00
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DTI and gluCEST imaging reveal the key role of white matter alteration in the pathogenesis in a mouse model of Huntington’s Disease |
| Jean-Baptiste Perot1, Marina Célestine1, Marc Dhenain1, Sandrine Humbert2, Emmanuel Brouillet1, and Julien Flament1 | ||
1Université Paris-Saclay, Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France, 2Université Grenoble-Alpes, Grenoble Institute of Neurosciences (GIN), INSERM U1216, Grenoble, France |
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Huntington’s Disease (HD) is a neurodegenerative disorder caused by the expansion of CAG repeats on the exon 1 of the HTT gene. Although genetic origin of HD is well-established, early and predictive biomarkers of disease onset and progression are still lacking. In the present study, we performed a multiparametric longitudinal MRI study on a mouse model of HD. Our results in gluCEST, Magnetization Transfer, morphometry and Diffusion Tensor Imaging revealed early modifications of white matter followed by progressive functional and anatomical changes in HD mice. Such network seems to point out the central role of white matter in HD pathogenesis. |
| 0075
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14:00
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Multimodal MRI study of multiple sclerosis: the therapeutic role of complement system |
| Abdullah Althobity1,2, Nemat Khan3, Trent Woodruff3, Gary Cowin1,4, Ian Brereton1,4, and Nyoman Kurniawan1 | ||
1Centre for Advanced imaging, University of Queensland, Brisbane, Australia, 2Ministry of Education, Riyadh, Saudi Arabia, 3Faculty of Medicine, School of Biomedical Sciences, University of Queensland, Brisbane, Australia, 4National Imaging Facility, Brisbane, Australia |
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Multiple sclerosis (MS) is an autoimmune disease with uncertain aetiology. In this work, we used two genetically modified mice, each derived by gene ablation to complement protein C5aR1 and C5L2 receptors, designed to investigate their roles in mediating the disease model experimental autoimmune encephalomyelitis (EAE). MR spectroscopy and DTI were measured using a 9.4T MRI with cryoprobe at the level of lumbar spinal cord. Changes in metabolites and DTI parameters indicate that the ablation of C5L2, to a greater extent than the ablation of C5aR1, made these mice less susceptible to EAE induced neuronal damage compared to wild-type mice. |
| 0076 | 14:00
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In vivo methemoglobin modulation as an intravascular contrast agent for magnetic resonance imaging: Rabbit Model with T1 measurement |
| Seong-Eun Kim1, J Scott McNally1, Matthew Alexander1, Dennis L Parker1, Matthew S Zabriskie 1, and Ronald Day2 | ||
1UCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Department of Pediatrics, University of Utah, Salt Lake City, UT, United States |
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After intravenous injection, gadolinium(GBCA), commonly used for MR contrast, distributes from intravascular to the extravascular space and rapidly cleaned by renal excretion. This pharmacologic behavior makes GBCA unfavorable as in blood pool agent. One potential alternative agent is endogenous intracellular methemoglobin (MetHb), a paramagnetic molecule in our blood cells. Intracellular levels of MetHb can be increased by exposing blood to sodium nitrite. We evaluated change of T1 of blood according to a transient increase in intracellular MetHb in in vivo animal model. Our results demonstrated that MetHb modulation resulted T1 shortening of blood and soft tissue enhancement. |
| 0077
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14:00
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CEST-MRI guided sequential drug delivery using injectable hydrogel for local treatment in the brain |
| Xiongqi Han1, Jianpan Huang1, and Kannie Wai Yan Chan1,2,3 | ||
1Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Biomedical Engineering, Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Glioblastoma (GBM) is the most malignant brain tumor with notorious heterogeneous, infiltrative and chemoresistance. Here, we developed a hydrogel-based drug delivery system for sequential and sustainable local drug delivery with rheological properties that favor applications to the brain. We designed methotrexate (MTX) to release prior to gemcitabine (Gem). Using CEST, the multicomponent of hydrogel matrix could be detected at 3 T, including the contrast of loaded drugs (5.4%) at 2.2-2.4 ppm and liposomal hydrogel matrix at -3.6 ppm in vitro. Furthermore, it showed combined cytotoxicity on U87 cells, demonstrating its potential on CEST MRI guided local treatment. |
| 0078 | 14:00
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Fluorine Magnetic Resonance Imaging for Natural Killer Cell Tracking with a Dual Tuned 1H/19F Torso Coil at 3T |
| Paul Begovatz1, Lawrence Lechuga1, Monica Cho2, Mallery Olsen2, Rachel McMahon3, David Vail3,4, and Sean Fain1,5,6 | ||
1Medical Physics, Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 2Pediatrics, Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 3Medical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, United States, 4Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 6Biomedical Engineering, Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States |
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Fluorine magnetic resonance imaging (19F-MRI) has been demonstrated as a non-invasive method to track and quantify immune cells in vivo. However due to the low 19F spin density of immune cell labeling, these studies have been mostly conducted on ultra-high field MRI systems, or with small sensitive surface coils at clinical field strengths. This feasibility study found that concentrations of perfluoropolyether (PFPE), and phantoms consisting of fewer than one million PFPE labeled NK cells were reliably detected through 19F-MRI with the combination of a cartesian 3D fast spin echo imaging sequence, and a dual tuned 1H/19F torso coil at 3T. |
| 0079 | 14:00
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A Mn-based probe targeted towards organic-anion transporting polypeptides |
| Nivin N Nyström1, Hanlin Liu2, Francisco Martínez-Santiesteban1, Xiao-an Zhang2, Timothy J Scholl1, and John A Ronald1 | ||
1Robarts Research Institute, London, ON, Canada, 2University of Toronto, Toronto, ON, Canada |
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We have developed a manganese(III) porphyrin probe for targeted imaging of cells expressing organic-anion transporting polypeptides. OATP1 targeting and relaxation characteristics were evaluated in vitro in engineered cells, and in vivo and ex vivo in different organs in mice. |
| 0080 | 14:00
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MR Measurements of Placental Perfusion in Normal Sheep Pregnancies |
| Dimitra Flouri1,2, Jack RT Darby3, Stacey L Holman3, Sunthara R Perumal4, Anna L David5,6, Janna L Morrison3, and Andrew Melbourne2,7 | ||
1School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 3Early Origins of Adult Health Research Group, University of South Australia, Adelaide, Australia, 4Preclinical Imaging and Research Laboratories, South Australian Health and Medical Research Institute, Adelaide, Australia, 5Elizabeth Garrett Anderson Institute for Women’s Health, University College London, London, United Kingdom, 6NIHR Biomedical Research Centre, University College London Hospitals, London, United Kingdom, 7School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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MRI techniques are considered to give additional placental information in vivo to support clinical decision-making. Preclinical models such as in pregnant sheep provide an invasive method to validate MRI measurements, as they allow for controlled experiments and analysis during pregnancy. Here we characterised diffusion and perfusion properties of normal sheep placenta such as apparent diffusion coefficient, T2 measurements and fractional anisotropy analysis. We also presented the first application of multi-compartment MRI model to normal sheep placenta. |
| 0081 | 14:00
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Detectable velocity range in single-cell tracking by time-lapse MRI |
| Enrica Wilken1, Felix Freppon1, Max Masthoff1, and Cornelius Faber1 | ||
1Translational Research Imaging Center, Clinic of Radiology, University Hospital Muenster, Muenster, Germany |
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Repetitive T2*-weighted image acquisition in vivo and contrast simulations were used to show that single iron oxide nanoparticle labeled cells can be resolved and tracked non-invasively by time-lapse MRI. Calculation of the velocity of intravascular moving immune cells in mice brain and velocity-dependent blurring of time-lapse contrast in simulations indicate that cell dynamics slower than 1 µm/s are detectable. Therefore, time-lapse MRI is able to reveal patrolling immune cells as hypointense spots and can be a suitable tool to study inflammatory diseases and the progression of cancer metastasis. |
| 0082 | 14:00
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Investigating the microglial metabolome with high resolution 1H NMR |
| Lydia M. Le Page1, Jayson Ball2, Linda Watkins2, and Myriam Chaumeil1 | ||
1Physical Therapy and Rehabilitation Science, Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Department of Psychology & Neuroscience & the Center for Neuroscience, University of Colorado, Boulder, CO, United States |
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Microglia are an essential part of the brain’s immune system. In 2006, Frank et al. described a rapid isolation technique to obtain high-purity quiescent microglia from the rat brain, enabling study of their role in health and disease. Metabolomics via NMR is a robust, data-rich strategy for understanding cell metabolism. Given the central role of microglial metabolic reprogramming in numerous diseases, we investigated whether ultra-high-field 1H NMR could detect key metabolites in freshly isolated adult microglia. We optimized the isolation and extraction protocols and showed that several key microglia metabolites can be reliably quantified using high-resolution 1H NMR at 18.8Tesla. |
14:00
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The Role of 7T MRI in Multiple Sclerosis: Understanding the Disease | |
| Caterina Mainero | ||
| A. A. Martinos Center, Harvard Medical School | ||
14:30
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Moving to Higher Resolution: Ways Around the Limitations of Motion | |
| Vincent O. Boer | ||
| DRCMR, Copenhagen University | ||
15:00
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Focusing on the Body: Technical Requirements & Advancements | |
| Tijl A. van der Velden | ||
| UMC Utrecht | ||
15:30
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Going Weak in the Knees: What Can 7T Do? | |
| Vladimir Juras | ||
| Medical University of Vienna | ||
16:00
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Understanding the Heart: Where 7T Makes All the Difference | |
| Chris Rodgers | ||
| University of Cambridge | ||
| 0083
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14:00
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Comparison of inhomogeneous Magnetization Transfer (ihMT), R1 and MPF for myelin specific imaging |
| Andreea Hertanu1,2, Lucas Soustelle1,2, Arnaud Le Troter1,2, Julie Buron1,2,3, Julie Le Priellec3, Myriam Cayre3, Pascale Durbec3, Gopal Varma4, David C. Alsop4, Olivier M. Girard1,2, and Guillaume Duhamel1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Aix Marseille Univ, CNRS, IBDM, Marseille, France, 4Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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We conducted a comparative study of ihMT metrics variably weighted in T1D, with R1 (1/T1) and MPF (macromolecular proton fraction) for myelin specific imaging. These MRI methods were compared with histology by fluorescence microscopy using transgenic plp-GFP (proteolipid protein-Green Fluorescent Protein) mice. |
| 0084
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14:00
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Uncovering the specificity of quantitative MRI to different molecular forms of iron in the brain. |
| Shir Filo1, Rona Shaharabani1, and Aviv Mezer1 | ||
1The Edmond and Lily Safra Center for Brain Science, The Hebrew University of Jerusalem, Jerusalem, Israel |
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The main iron compounds, ferritin and transferrin, are distributed heterogeneously across the brain and are often implicated in neurodegenerative diseases. While quantitative MRI has been linked to brain tissue’s microstructure, non-invasive discrimination between iron forms still remains a challenge. We propose an in vivo approach for assessing brain iron forms, based on the dependency of R1 on R2*. We establish this approach in phantoms and validate it against histology. In the in vivo human brain, the dependency of R1 on R2*, rather than each parameter by itself, predicts the inhomogeneous distribution of iron-binding proteins with age and across brain regions. |
| 0085
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14:00
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Improved spin-lock based detection of ultra-low-field electro-magnetic oscillations for direct fMRI |
| Maximilian Gram1,2, Markus Dippold2, Daniel Gensler1,3, Martin Blaimer4, Peter Nordbeck1,3, and Peter Michael Jakob2 | ||
1Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany, 3Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany, 4Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany |
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BOLD-based fMRI is currently the method of choice for the spatially resolved investigation of neuronal activity, although this technique only allows indirect measurements of activity by evaluating hemodynamic effects. Recently, a spin-lock-based technique for the direct measurement of neuro-electro-magnetic oscillations was presented, which impressively demonstrated imaging of the alpha activity. In the corresponding publication, however, elementary parameters of the spin-lock preparation were specified ad hoc. In the present work it is shown that the choice of these preparation parameters is of essential importance. For example, a clever choice of the spin-lock time can improve and stabilize the signal detection. |
| 0086
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14:00
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Noninvasive Detection of Changes in Membrane Potential with MR Measurements |
| Kyeongseon Min1, Sungkwon Chung2, Phan Tan Toi3,4, Jongho Lee1, Seung‐Kyun Lee3,4,5, and Jang-Yeon Park3,4 | ||
1Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National Univeristy, Seoul, Korea, Republic of, 2Department of Physiology, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Korea, Republic of, 3Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 4Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 5Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of |
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In this study, the relationships between changes in cell membrane potential and MR measurements of T1, T2, and qMT parameters were examined using a neuroblastoma cell line (SH-SY5Y) as an in vitro model. When the membrane potential was depolarized from -37.7 mV to −7.5 mV, the changes in MR parameters were: T1, +4.29%; T2, +21.2%; pool size ratio (PSR), −12.4%. Contrarily, when the membrane potential was hyperpolarized to −43.0 mV, the changes in MR parameters were: T1, −3.40%; T2, −10.0%; PSR, +6.97%. These observations are expected to be utilized to noninvasively detect changes in the membrane potential of cells. |
| 0087
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14:00
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High temporospatial resolution MR imaging of neuronal activity in vivo |
| Phan Tan Toi1,2,3, Hyun Jae Jang4, Jeehyun Kwag4, and Jang-Yeon Park1,2,3 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 4Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, Republic of |
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Advanced non-invasive functional imaging methods have been widely used, but with certain limitations in either temporal or spatial information. There has long been a demand for a noninvasive imaging method capable of capturing neuronal activity with high temporal and spatial resolution. Here, we demonstrate a novel imaging method (called DIANA-fMRI) for directly detecting neuronal activity with high temporal (=5ms) and spatial (=0.22mm) resolution. DIANA-fMRI was capable of capturing sensory responses in mice at 9.4T with statistically significant signal changes (~0.1-0.2%). Temporally sequential DIANA responses were also confirmed along the thalamocortical pathway, together with further validation by electrophysiological experiments. |
| 0088 | 14:00
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Diffuse axonal injury has a specific multidimensional MRI signature in traumatically injured corpus callosum |
| Dan Benjamini1, Diego Iacono2, Michal Komlosh1, Daniel Perl2, David Brody2, and Peter Basser1 | ||
1National Institute of Child Health and Human Development, Bethesda, MD, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States |
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Can microscopic diffuse axonal injury lesions following trauma be seen non-invasively? We report that simultaneously integrating multiple MRI dimensions - T1, T2, and diffusion - can be targeted to image microscopic damage. Corpora Callosa derived from eight subjects that sustained TBI and three healthy control brain donors underwent post-mortem ex-vivo MRI at 7T. Multidimensional-, diffusion tensor-, and quantitative T1- and T2-MRI data were acquired and processed, along with corresponding pathohistological data. Although invisible using the conventional MRI modalities, multidimensional MRI provided images of the microscopic injuries, suggesting that it can be used for the detection of microscopic axonal injury. |
| 0089
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14:00
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Single-shot simultaneous diffusion and T2 mapping based on overlapping-echo detachment planar imaging |
| Lingceng Ma1, Xinran Chen1, Jian Wu1, Lijun Bao1, Shuhui Cai1, Congbo Cai1, and Zhong Chen1 | ||
1Department of Electronic Science, Xiamen University, Xiamen, China |
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A single-shot simultaneous diffusion and T2 mapping method is developed based on overlapping-echo detachment planar imaging (DT2M-OLED) incorporating with deep-learning reconstruction. The method makes it possible to realize simultaneous diffusion and T2 mapping in around one hundred milliseconds for the first time, and owns an advantage in resisting motion artifacts. The accuracy of the proposed method was verified by numerical experiment and in vivo rat brain experiment. Dynamic diffusion and T2 mapping on rat recovering from deep anesthesia was also conducted to test the capability of the proposed method in real-time imaging. |
| 0090
|
14:00
|
Deep learning based acceleration of multi-contrast MRI examinations by acquiring contrast and sharing inter-contrast structure information |
| Sudhanya Chatterjee1, Suresh Emmanuel Joel1, Sajith Rajamani1, Shaik Ahmed1, Uday Patil1, Ramesh Venkatesan1, and Dattesh Dayanand Shanbhag1 | ||
1GE Healthcare, Bangalore, India |
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We propose a method to accelerate multi-contrast MRI examination for a subject. We accelerate typically longer scans of MR exam such as FLAIR-T1, FLAIR-T2 by only acquiring its contrast information and sharing structure information from a reference scan from the same exam which is fully sampled (typically with the lowest acquisition time e.g. T2FSE). The resulting view-shared images have systematic artifacts which are then removed by a deep learning module trained on more than 200 cases. We observed high quality reconstruction (SSIM>0.9) for both healthy control and pathology cases with acceleration factors of 2x and 3x for FLAIR-T1 and FLAIR-T2. |
| 0091 | 14:00
|
MULTI-Parametric MR imaging with fLEXible modular design (MULTIPLEX) |
| Yongquan Ye1, Jingyuan Lv1, Yichen Hu1, Zhongqi Zhang2, Jian Xu1, and Weiguo Zhang1 | ||
1UIH America, Inc., Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China |
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We have developed a GRE based multi-parametric MR imaging method with flexible modular design, namely MULTIPLEX. Featuring a design of dual-TR, dual-FA and multi-echo, one single MULTIPLEX scan can provide multiple imaging contrasts and quantitative mappings with 3D high resolution within clinically friendly duration, including T1W, PDW, augmented T1W (aT1W), SWI and T1/T2*/PD/QSM maps, as well as optional MRA images. |
| 0092 | 14:00
|
R2* mapping of the whole brain with 0.8 mm isotropic resolution at 7T in less than 7 minutes |
| Arun Joseph1,2,3, Tobias Kober4,5,6, and Tom Hilbert4,5,6 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Bern, Switzerland, 2Translational Imaging Center, Sitem-Insel, Bern, Switzerland, 3Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 5Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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T2*-weighted imaging is an important diagnostic tool to evaluate normal and pathological tissues due to its sensitivity to iron deposition. This comes with high sensitivity to magnetic field inhomogeneities within a voxel, resulting in susceptibility artifacts. These artefacts are largely reduced at higher resolutions; high-resolution protocols however lead to clinically unfeasible scan times with multi-echo gradient echo sequences. Here, we propose a compressed sensing multi-echo GRE acquisition for 7T to obtain 0.8 mm isotropic R2* maps of the whole brain in <7 minutes and with substantially reduced artefacts. Preliminary qualitative and quantitative validations are performed on healthy subjects. |
| 0093
|
14:00
|
Mapping of Thalamic Matrix and Core Nuclei using QSM at 9.4 Tesla |
| Vinod Jangid Kumar1, Klaus Scheffler1,2, Gisela E Hagberg1,2, and Wolfgang Grodd1 | ||
1Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Biomedical Magnetic Resonance, University Hospital and Eberhard-Karl’s University, Tuebingen, Germany |
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The thalamus is a central connectivity hub of the human brain that remains poorly understood concerning its anatomy. Since it houses both calcium-rich neurons and myelin-rich architecture, quantitative susceptibility mapping at the ultra-high-field may facilitate thalamic substructures' characterization. Consequently, we have acquired high-resolution QSM data at 9.4 Tesla in 21 subjects and analyzed human thalamic nuclei with respect to core and matrix neurons. We found a more substantial contribution of both diamagnetic and paramagnetic sources, like iron, myelin, and calcium, in the matrix nuclei in contrast to the relay specific core nuclei matrix nuclei. |
| 0094
|
14:00
|
On Comparability and Reproducibility of Myelin Sensitive Imaging Techniques |
| Tom Hilbert1,2,3, Lucas Soustelle4, Gian Franco Piredda1,2,3, Thomas Troalen5, Stefan Sommer6,7, Arun Joseph8,9,10, Reto Meuli2, Jean-Philippe Thiran2,3, Guillaume Duhamel4, Olivier M. Girard4, and Tobias Kober1,2,3 | ||
1Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 5Siemens Healthcare SAS, Saint-Denis, France, 6Siemens Healthcare, Zurich, Switzerland, 7Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland, 8Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Bern, Switzerland, 9Translational Imaging Center, Sitem-Insel, Bern, Switzerland, 10Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland |
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A reliable and non-invasive measurement of myelin content in the brain is of high importance for neurodegenerative diseases such as multiple sclerosis. To this end, various methods have been developed over the past years with different advantages and shortcomings. In this work, six widely used methods are compared and tested for reproducibility: (i) longitudinal relaxation rate, (ii) magnetization transfer ratio, (iii) macromolecular proton fraction, (iv) inhomogeneous magnetization transfer saturation, (v) myelin water fraction, and (vi) inversion recovery at ultra-short echo time. This comparison may facilitate an informed decision on which myelin imaging techniques should be used in future studies. |
| 0095
|
14:00
|
Delineating perfusion and the effects of vascularisation patterns across the hippocampal subfields at 7T |
| Roy AM Haast1, Sriranga Kashyap2, Mohamed D Yousif1, Dimo Ivanov2, Benedikt A Poser2, and Ali R Khan1 | ||
1Centre for Functional and Metabolic Mapping, Western University, London, ON, Canada, 2Maastricht University, Maastricht, Netherlands |
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Intra-hippocampal perfusion patterns have remained unexplored so far but might carry important information to study disease pathogenesis. In this study we used arterial spin labeling (ASL) combined with time-of-flight angiography acquired at 7T to delineate perfusion and the effects of vascularisation patterns across the hippocampal subfields. We found that (i) imaging hippocampal perfusion in vivo is feasible using ASL at 7T, (ii) perfusion could serve as biomarker to differentiate hippocampal subfields, but that (iii) the impact of the dense macrovascular network varies based on characteristics such as distance and diameter. |
| 0096
|
14:00
|
In vivo human T2* imaging at 0.35 mm reveals up to 15 ms of local variations within gray matter across depths at 7T |
| Omer Faruk Gulban1,2, Saskia Bollman3, Renzo Huber1, Kendrick Kay4, Benedikt Poser1, Federico De Martino1, and Dimo Ivanov1 | ||
1Department of Cognitive Neuroscience , Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Brain Innovation, Maastricht, Netherlands, 3Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 4Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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We measured in vivo human brain T2* values using 7T MRI at 0.35 × 0.35 × 0.35 mm3. We simultaneously targeted calcarine sulcus and Heschl’s gyrus. Our results show that gray matter T2* varies up to 15 ms (global range being mostly in between 25-45 ms) from deep to superficial layers. The stria of Gennari shows up as a major reduction of T2* within calcarine sulcus. However, a similar layering is not visible within Heschl’s gyrus. B0 alignment effects seem to be not as strong as the biological tissue composition effects that are observed across the visual and auditory regions. |
| 0097 | 14:00
|
Construction of Spatiotemporal Cortical Surface Atlases for Fetal Brains |
| Zhengwang Wu1, Yuchen Pei1, Ya Wang1, Tao Zhong1, Fenqiang Zhao1, Li Wang1, He Zhang2, and Gang Li1 | ||
1Department of Radiology and BRIC, UNC-Chapel Hill, Chapel Hill, NC, United States, 2Department of Radiology, Obstetrics and Gynecology Hospital, Fu Dan University, Shanghai, China |
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We constructed a set of temporally-densely sampled cortical surface atlases for the fetal brain from 22 to 36 gestational weeks. This 4D fetal cortical surface atlas, which will be released to the public soon, together with the UNC 4D Infant Cortical Surface Atlas provide the longest temporally-consistent atlas chain from the prenatal 22 gestational weeks to the postnatal 7 years of age. |
| 0098 | 14:00
|
Combined blood flow and CO2-mediated effects underlie the tissue-specific response to hypercapnia: Insight from 7T MR-based imaging |
| Allen A Champagne1,2 and Alex A Bhogal3 | ||
1School of Medicine, Queen's University, Kingston, ON, Canada, 2Center for Neuroscience Studies, Queen's University, Kingston, ON, Canada, 3Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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Cerebrovascular reactivity (CVR) mapping is finding increasing clinical applications as a non-invasive probe for vascular health. Untangling physiological factors driving differences in temporal delays within the tissue-specific CVR response can help better understand the pathophysiological mechanisms associated with vascular impairments. Here, we combine hypercapnic and hyperoxic respiratory challenges with high resolution 7T MR-based imaging to gather insight about differences in the temporal response to CVR between grey- and white-matter tissues. Our findings support the hypothesis that differences in the physiological response to hypercapnia may be determined by compounding effects related to CO2 sensitivity and blood flow (re)distribution. |
| 0099 | 14:00
|
7T QSM guided Histologically Consistent Thalamic Sub-nucleus Parcellation in 3T QSM Atlas Space |
| Weimin Zhang1, Chenyu He1, Xiaojun Guan2, Xiaojun Xu2, Hongjiang Wei3, and Yuyao Zhang1,4,5 | ||
1School of Information Science and Technology, ShanghaiTech University, Shanghai, China, 2Department of Radiology, The Second Affiliated Hospital, Zhejiang, China, 3Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai, China, 4Shanghai Engineering Research Center of Intelligent Vision and Imaging, ShanghaiTech University, Shanghai, China, 5iHuman Institute, ShanghaiTech University, Shanghai, China |
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The thalamus is a relay station that routed and modulated brain signals from the deep gray-matter to the cortex. It can be divided into sub-nuclei that are highly related to various neurological disorders. However, those sub-nuclei are indistinguishable in standard T1 or T2 weighted MRI. We present a multi-atlas thalamic sub-nucleus parcellation framework guided by 7T QSM image, which provides histologically consistent contrast in thalamic sub-nuclei. Combining with a set of 3T QSM images, the thalamic parcellation in 7T image space is transferred into the 3T atlas space as a 64 sub-nucleus parcellation map. |
| 0100 | 14:00
|
Whole-Brain 3D Quantitative BOLD Mapping With Preliminary Estimation of R2' and Venous Blood Volume |
| Hyunyeol Lee1 and Felix W Wehrli1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Quantitative BOLD (qBOLD) seeks to quantify voxel-wise deoxygenated blood volume (DBV) and venous blood oxygen saturation (Yv) based on R2′-sensitive signal acquisitions. A complication in qBOLD is the separation of signal contributions from R2, and R2′ from heme and non-heme iron sources, particularly in the deep brain structures. Here, we develop a new 3D qBOLD mapping method by tackling the confounding factors based on preliminary estimates of R2, R2’, and voxel susceptibility, along with cerebral venous blood volume. Results suggest feasibility of the proposed, prior-based qBOLD method for 3D mapping of DBV and Yv across the entire brain. |
| 0101
|
14:00
|
10min Whole-Brain MRI Solution – Comprehensive Quantification of MR Relaxometry and Susceptibility Plus Synthetic Contrast-Weighted Images |
| Sen Ma1, Tianle Cao1,2, Nan Wang1, Anthony G. Christodoulou1, Zhaoyang Fan1, Yibin Xie1, and Debiao Li1 | ||
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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We propose an integrated and efficient solution to clinical whole-brain MRI in a single 10min sequence, producing co-registered, quantitative PD, T1, T2, T1ρ, T2*, QSM, and ΔB0 information plus clinically adopted, synthetic contrast-weighted images including PDw, T1w, T2w, T2*w, FLAIR, SWI, true-SWI, mIP, and true-SWI mIP simultaneously. Quantitative maps and contrast-weighted images are generated with good image quality and contrasts. Quantitative measurements agree with literature values. This method has the clinical potential for comprehensive risk assessment and disease evaluation, combining early detection, diagnosis, tissue characterization, and treatment monitoring of various brain diseases. |
| 0102 | 14:00
|
Magnetic resonance recording of local neuronal firings (mrLNF) in the human brain: A proof of concept |
| Yongxian Qian1, Karthik Lakshmanan1, Anli Liu2, Yvonne W. Lui1, and Fernando E. Boada1 | ||
1Radiology, New York University, New York, NY, United States, 2Neurology, New York University, New York, NY, United States |
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Neurons are firing when emitting action potentials to communicate with each other. Action potentials generate fast electric currents (~2ms duration) across membrane and slow ones (~10–100ms) at postsynaptic side. These currents generate electric and magnetic fields detectable by scalp EEG and MEG, respectively. They detect the fields relatively far away (~20mm) from firing sources and are only sensitive to slow, easily-synchronized postsynaptic currents. Here we propose a new approach termed as magnetic resonance recording of local neuronal firings (mrLNF) that has a very high temporal resolution (0.25ms) and can non-invasively detect fast and slow neuronal currents at the firing sources. |
| 0103 | 14:00
|
Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI) |
| Vishwesh Nath1, Marco Pizzolato2,3, Marco Palombo4, Noemi Gyori4, Kurt G Schilling5, Colin Hansen6, Qi Yang6, Praitayini Kanakaraj6, Bennett A Landman6, Soumick Chatterjee7, Alessandro Sciarra7, Max Duennwald7, Steffen Oeltze-Jafra7, Andreas Nuernberger7, Oliver Speck7, Tomasz Pieciak 8, Marcin Baranek8, Kamil Bartocha8, Dominika Ciupek8, Fabian Bogusz8, Azam Hamidinekoo9, Maryam Afzali 10, Harry Lin4, Danny C Alexander4, Haoyu Lan11, Farshid Sepehrband11, Zifei Liang12, Tung-Yeh Wu13, Ching-Wei Su13, Qian-Hua Wu13, Zi-You Liu13, Yi-Ping Chao13, Enes Albay14, Gozde Unal14, Dmytro Pylypenko13, Xinyu Ye13, Fan Zhang15, and Jana Hutter16 | ||
1NVIDIA Corporation, Bethesda, MD, United States, 2Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, 3École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4CMIC, University College London, London, United Kingdom, 5Institute of Imaging Science, Vanterbilt University, Nashville, TN, United States, 6Department of Computer Science, Vanterbilt University, Nashville, TN, United States, 7Otto von Guericke University, Magdeburg, Germany, 8AGH University of Science and Technology, Krakow, Poland, 9Institute of Cancer Research, London, United Kingdom, 10CUBRIC, Cardiff University, Cardiff, United Kingdom, 11University of Southern California, Los Angeles, CA, United States, 12NYU Langone, New York, NY, United States, 13Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 14Istanbul Technical University, Istanbul, Turkey, 15Harvard Medical School, Boston, MA, United States, 16Centre for Medical Engineering, King's College London, London, United Kingdom |
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Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical modality that allows characterization of microstructure of the nervous tissue in the human brain. Recent multi-parametric acquisitions expand parameter space to b-values, gradient directions, inversion and echo times. The required long scanning time could be shortened by acquiring at lower resolutions while superesolving the images during post-processing. This work embodies the evaluation of an open challenge where the objective was to upsample multi dimensional data encoding simultaneously T1, T2* and diffusion contrast to the natively acquired voxel resolution from two different down-sampled sets of the data (isotropic down-sampled and anisotropic down-sampled). |
| 0104
|
14:00
|
High-Fidelity Diffusion Tensor Imaging of the Thoracic Spinal Cord Using Point-Spread-Function Encoded EPI (PSF-EPI) |
| Sisi Li1, Yishi Wang2, Zhangxuan Hu3, Zhe Zhang4, Bing Wu3, and Hua Guo1 | ||
1Center for Biomedical Imaging Research, Beijing, China, 2Philips Healthcare, Beijing, China, 3GE Healthcare, MR Research China, Beijing, China, 4China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China |
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Diffusion tensor imaging (DTI) holds great potential to aid the diagnosis of spinal cord pathologies. Single shot EPI (SS-EPI) is mostly implemented for DTI but is significantly limited in clinics by susceptibility inhomogeneity-induced distortions. This is especially problematic in the thoracic region for increased inhomogeneities near lungs. To solve this problem, multi-shot EPI and reduced-FOV methods have been proposed. However, these methods cannot remove distortions completely. In this study, we achieved high-fidelity DTI of the thoracic spinal cord using a distortion-free MS-EPI technique, Point-Spread-Function Encoded EPI (PSF-EPI). Both the efficacy of PSF-EPI in distortion correction and quantitative reproducibility were evaluated. |
| 0105
|
14:00
|
Nonparametric 6D D-R1-R2 distribution imaging of the human brain: Initial results on healthy volunteers |
| Jan Martin1, Alexis Reymbaut2, Michael Uder3, Frederik Bernd Laun3, and Daniel Topgaard1 | ||
1Lund University, Lund, Sweden, 2Random Walk Imaging AB, Lund, Sweden, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany |
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Diffusion-relaxation correlation NMR methods have recently received attention from the medical MRI community for their ability to characterize microstructure and local chemical composition in complex tissues containing multiple subvoxel pools of water. We here implement 6D $$$\bf{D}$$$-$$$R_1$$$-$$$R_2$$$ distribution imaging of the human brain using a 20-min acquisition protocol combining EPI signal read-out and tensor-valued diffusion encoding with varying repetition- and echo times. Monte Carlo data inversion yields nonparametric distributions, statistical descriptors, and orientation-resolved diffusion and relaxation properties of white matter fiber bundles that are in good agreement with previous results from less exhaustive 4D and 5D protocols. |
| 0106 | 14:00
|
Diffusion-Prepared Fast Spin Echo for Artifact-free Spinal Cord Imaging |
| Seung-Yi Lee1, Briana Meyer1, Shekar Kurpad2, and Matthew Budde2 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States |
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Sagittal diffusion and perfusion magnetic resonance imaging can provide unique contrast relevant to changes in the acute spinal cord injury. However, sagittal diffusion imaging with echo planar imaging often results in severe motion and susceptibility artifacts. To improve the quality of imaging, we propose a higher-order diffusion preparation combined with a fast spin echo readout. The proposed method demonstrates high quality imaging free from artifacts. Further optimization achieved more accurate diffusivity measurements independent from direction of the cord. Lastly, we show matching diffusion and perfusion maps of the injured cord, highlighting clear spatial differences in microstructure and vasculature injuries. |
| 0107
|
14:00
|
Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI |
| Hong-Hsi Lee1, Els Fieremans1, Jiangyang Zhang1, and Dmitry S Novikov1 | ||
1New York University School of Medicine, New York, NY, United States |
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Non-Cartesian MRI enables efficient coverage in k-space and is leveraged to accelerate acquisitions of images in multiple contrasts. However, denoising such data is non-trivial, since the noise statistics is neither independent nor normally distributed in reconstructed images. Here, we propose a random-matrix-theory-based denoising and noise-mapping pipeline applicable to MRI of any non-Cartesian k-space sampling. We demonstrate the denoising pipeline on diffusion MRI data, including a numerical phantom and ex vivo mouse brain data in radial trajectories. The proposed pipeline robustly estimates the noise level, removes the noise, and corrects the bias in parametric maps of diffusion and kurtosis metrics. |
| 0108 | 14:00
|
Patch2Self denoising reveals a new theoretical understanding of Diffusion MRI |
| Shreyas Fadnavis1, Joshua Batson2, and Eleftherios Garyfallidis3 | ||
1Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States, 2Chan Zuckerberg Biohub, San Francisco, CA, United States, 3Indiana University Bloomington, Bloomington, IN, United States |
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Diffusion MRI (dMRI) is a promising tool for evaluating the spinal cord in health and disease, however low SNR can impede accurate, repeatable, quantitative measurements. Here, we apply a recently proposed denoiser, Patch2Self, that strictly suppresses statistically independent random fluctuations in the signal originating from various sources of noise. Typical spinal cord dMRI scans have a smaller number of gradient directions (10-20) making PCA based 4D denoisers (require at least 30) inapplicable. Using self-supervised learning, Patch2Self addresses these issues which we quantitatively show with an improvement in repeatability and conspicuity of pathology in the spinal cord. |
| 0109 | 14:00
|
High-resolution visualization of isotropically restricted diffusion in brain by strong spherical dMRI and super-resolution reconstruction |
| Geraline Vis1, Markus Nilsson1, and Filip Szczepankiewicz1 | ||
1Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden |
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Strong spherical diffusion encoding enables visualization of isotropically restricted regions in the human brain, believed to resemble densely packed cells. As this forces imaging in a low SNR regime, visualization has been limited to a low resolution to avoid deleterious signal bias caused by the noise floor. In this work, we propose a novel method based on super-resolution reconstruction to enable high-resolution visualization of isotropically restricted diffusion in human brain in vivo. We show that our method is superior over conventional methods with acquisition times that are compatible with clinical routine. |
| 0110 | 14:00
|
SNR efficiency and effectiveness of 7T high-b diffusion imaging with MESMERISED and PGSE |
| Alard Roebroeck1, Benedikt A Poser1, and Francisco J Fritz2 | ||
1Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Systems Neurosciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Hamburg, Germany |
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We compare MESMERISED and standard PGSE for their signal-to-noise efficiency in b-value = 7000 s/mm2 (b7k) dMRI at 7T and their effectiveness in supporting microstructure modeling. At current state-of-the-art gradient performance, MESMERISED’s SAR and gradient duty cycle efficiency allows it to outperform PGSE for 7T high-b dMRI and provide highly efficient and effective microstructure modeling. Its added capacity to explore diffusion times, super-accelerate quantitative T1 mapping, and also perform qT2 and B1+ mapping, makes it highly useful for quantitative multi-contrast and diffusion MRI. |
| 0111 | 14:00
|
Incoherent k-q Under-sampled Multi-shot EPI for Accelerated Multi-shell Diffusion MRI with Model-based Deep Learning Reconstruction |
| Merry Mani1, Vincent Magnotta2, and Mathews Jacob2 | ||
1Radiology, University of Iowa, Iowa City, IA, United States, 2University of Iowa, Iowa City, IA, United States |
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We propose a new acceleration and reconstruction method for under-sampled multi-shot multi-shell dMRI. The method makes use of incoherent under-sampling in the joint k-q domain to achieve high acceleration. We develop a new model-based reconstruction that jointly recovers missing q-space points, by utilizing a q-space manifold prior that is pre-learned using deep learning. The proposed method is shown to accurately recover the DWIs from 8-fold accelerated multi-shell data. The reconstruction error is shown to be less than 3%. The proposed method enables utilization of multi-shot EPI trajectories for diffusion microstructure and connectivity studies requiring multi-shell coverage, without prolonging scan time. |
| 0112
|
14:00
|
Combined spin echo and gradient echo slice-to-volume reconstruction in fetal diffusion MRI |
| Daan Christiaens1,2, Maximilian Pietsch1, Lucilio Cordero-Grande1, Anthony N Price1,3, Jana Hutter1,3, Emer Hughes1, Serena J Counsell1, Joseph V Hajnal1,3, and J-Donald Tournier1,3 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department of Electrical Engineering (ESAT-PSI), KU Leuven, Leuven, Belgium, 3Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Modelling tissue microstructure during fetal and neonatal brain development relies on robustly sampling diverse, low-SNR image contrast in moving subjects. Here, we extend slice-to-volume reconstruction to multi-echo diffusion MRI, in order to correct subject motion across the combined diffusion-T2*-weighted signal. Our results suggest that the spin echo and gradient echo dMRI signal have different trends across gestational age. Tissue microstructure models could therefore leverage these multidimensional data to reveal new insights in brain development. |
14:00
|
Relaxation: T1 | |
| Assaf Tal1 | ||
1Weizmann Institute of Science, Rehovot, Israel |
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This talk will cover the physical origins of T1 relaxation, present biophysical models for it in tissue, and explain why it is an important biomarker for many pathologies. It will then present some common techniques and sequences for measuring it, the most common of which are saturation and inversion recovery. Finally, it will present some of how obtaining T1 maps can be used both clinically and, to a lesser extent, as a tool in more basic research. |
14:30
|
From Biology to Radiology | |
| Evgeniya P. Kirilina1 | ||
1Neurophysics, Max Plank Institute for Cognitive Brain Science, Leipzig, Germany |
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This presentation outlines how different tissue properties are reflected by Magnetic Resonance Imaging (MRI) parameters in health and disease. Physical, physiological and pathological origins of multiple MRI contrasts including proton density, longitudinal, transverse and effective transverse relaxation rates, susceptibility and contrast in diffusion-weighted imaging (DWI) are discussed. In addition, it is demonstrated how complementary information on pathological processes are obtained from multiple contrasts. |
15:00
|
Relaxation: T2 & T2* | |
| Burkhard Mädler1 | ||
1Philips Precision Diagnostics, Hamburg, Germany |
||
We will discuss the basic physical concepts of T2-relaxation and its distinction from T2*-relaxation, learn how to measure and quantify T2-relaxation, hear about pitfalls and challenges to access T2-relaxtion, understand what makes T2-contrast in a clinical MR-image, and brief over some fundamental clinical applications for T2-relaxation contrast (weighted T2- and T2*-contrast, quantitative relaxation time measurements). |
15:30
|
Diffusion | |
| Galit Saar1 | ||
1BCF, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel |
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This talk will cover the basic physics of diffusion MRI and how it can be used to study tissue microstructure. We will learn how to measure diffusion in MRI and the various parameters that effect diffusion measurements, such as b-value and diffusion gradient directions, and how to obtain DWI images and ADC maps. Finally, we will present the concept of diffusion tensor imaging and the information obtained by it. |
| 0113 | 14:00
|
Estimation of fractional myocardial blood volume and water exchange using ferumoxytol-enhanced MRI |
| Caroline Colbert1, Michael A. Thomas2, Ran Yan3, Aleksandra Radjenovic4, J. Paul Finn1,5, Peng Hu1,3,5, and Kim-Lien Nguyen1,2,5 | ||
1Physics and Biology in Medicine Graduate Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 2Division of Cardiology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States, 3Department of Radiology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States, 4Institute of Cardiovascular & Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom, 5Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences, UCLA David Geffen School of Medicine, Los Angeles, CA, United States |
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We optimized and tested a two-compartment water exchange model for fractional myocardial blood volume (fMBV) quantification. Nine healthy swine and one swine model with single-vessel coronary stenosis underwent MOLLI T1 imaging at 3.0 T following multiple individual ferumoxytol infusions. Healthy normal swine showed a mean mid-ventricular fMBV of 7.2 ± 1.4% and water exchange rate of 11.3 ± 5.1 s-1. In one swine model with artificially‑induced single-vessel coronary stenosis, quantitative pixel-wise fMBV showed regional differences in hypoperfused relative to perfused regions. This study demonstrates the feasibility of fMBV estimation using multi-dose ferumoxytol‑enhanced MRI with a two-compartment water exchange model. |
| 0114 | 14:00
|
Brain oxygen extraction is differentially altered by Alzheimer’s and vascular diseases |
| Dengrong Jiang1,2, Zixuan Lin1,2, Peiying Liu1, Sandeepa Sur1, Cuimei Xu1, Kaisha Hazel1, George Pottanat1, Jacqueline Darrow3, Jay J. Pillai1,4, Sevil Yasar5, Paul Rosenberg6, Abhay Moghekar3, Marilyn Albert3, and Hanzhang Lu1,2,7 | ||
1The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States |
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Alzheimer’s disease, vascular cognitive impairment and their concurrence represent the most common types of cognitive dysfunction. There exists a considerable overlap in their clinical symptoms and neuroimaging features, and we still lack effective tools for their differential diagnosis. This work demonstrated that cerebral oxygen-extraction-fraction (OEF) was differentially affected by Alzheimer’s (decrease OEF) and vascular (increase OEF) pathology. In individuals with low vascular risks, lower OEF was associated with worse cognitive performance and greater amyloid burden. In impaired patients, higher OEF was associated with great vascular risk factors. These findings suggest OEF can be useful in etiology-based diagnosis of cognitive impairment. |
| 0115 | 14:00
|
Three-Dimensional Surface-Based Analysis of Cartilage MRI Data in Knee Osteoarthritis: Validation and Initial Clinical Application |
| James W. MacKay1,2, Joshua Kaggie1, Graham M. Treece3, Stephen M. McDonnell4, Wasim Khan4, Alexandra R. Roberts5,6, Rob L. Janiczek5, Martin J. Graves1, Tom D. Turmezei2,7, Andrew W. McCaskie4, and Fiona J. Gilbert1 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 3Department of Engineering, University of Cambridge, Cambridge, United Kingdom, 4Department of Surgery, University of Cambridge, Cambridge, United Kingdom, 5Clinical Imaging, GlaxoSmithKline, London, United Kingdom, 6Antaros Medical, Uppsala, Sweden, 7Department of Radiology, Norfolk & Norwich University Hospital, Norwich, United Kingdom |
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| 0116 | 14:00
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Simultaneous Multiple Resonance Frequency Imaging (SMURF): Fat‑water imaging using multi‑band principles |
| Beata Bachrata1,2, Bernhard Strasser1,3, Wolfgang Bogner1, Albrecht Ingo Schmid4, Radim Korinek5, Martin Krššák1,2,6, Siegfried Trattnig1,2, and Simon Daniel Robinson1,7,8 | ||
1High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 4High Field MR Centre, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 5Institute of Scientific Instruments of the CAS, Brno, Czech Republic, 6Department of Internal Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria, 7Centre of Advanced Imaging, University of Queensland, St. Lucia, Australia, 8Department of Neurology, Medical University of Graz, Graz, Austria |
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Imaging of body regions containing a significant amount of fat is adversely affected by chemical shift artefacts. We propose a new fat-water imaging method that uses spectrally selective dual-band excitation and CAIPIRINHA to generate separate images of fat and water simultaneously as well as chemical shift-corrected, recombined fat-water images. Gradient-echo and turbo spin-echo variants of this Simultaneous Multiple Resonance Frequency Imaging (SMURF) approach yielded fat-water separation which was similar to or better than state-of-the-art techniques in the knee, breasts and abdomen and generated recombined fat-water images in which chemical shift effects were fully eliminated. |
| 0117 | 14:00
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MRI of [2-13C]Lactate without J-coupling artifacts |
| Keshav Datta1 and Daniel Spielman1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States |
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Metabolic imaging using hyperpolarized [2-13C]Pyruvate has the potential to simultaneously probe glycolysis and Kreb’s cycle, but one of its major limitations is the difficulty in imaging [2-13C]Lactate. The peak-splitting induced by the J-coupling between the C2 carbon and its attached proton causes ghosting and blurring artifacts, depending on the k-space trajectory. We propose two novel techniques, the first a two-shot approach combining in-phase and quadrature images acquired at echo times differing by 1/2J and the second a single-shot method employing a highly narrowband radiofrequency excitation pulse that images a single peak from the doublet, to resolve the J-modulated artifacts. |
| 0118 | 14:00
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Five-Dimensional Quantitative Low-Dose Multitasking Dynamic Contrast- Enhanced MRI (LD-MT-DCE): Preliminary Study on Breast Cancer |
| Nan Wang1,2, Yibin Xie1, Zhaoyang Fan1,2, Sen Ma1,2, Rola Saouaf3, Yu Guo1,4, Stephen L. Shiao5,6, Anthony G. Christodoulou1,2, and Debiao Li1,2 | ||
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, 3Department of Imaging, Cedars Sinai Medical Center, Los Angeles, CA, United States, 4Department of Radiology, Tianjin First Central Hospital, Tianjin, China, 5Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Biomedical Sciences, Division of Immunology, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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DCE MRI is an important technique for diagnosing breast cancer, but continues to face technical challenges and gadolinium deposition concerns. In this work, we proposed a low-dose Multitasking DCE (LD-MT-DCE) technique, enabling dynamic-T1-mapping based quantitative characterization of tumor blood flow and vascular properties with whole-breast coverage, a spatial resolution of 0.9×0.9×1.1mm3, and a temporal resolution of 1.4 s using only 20% gadolinium dose. An in vivo study showed excellent image quality and repeatability (ICC≥0.99) for LD-MT-DCE and consistent diagnosis to standard-dose clinical DCE. The kinetic parameters showed significant differences between normal breast tissue, and benign and malignant tumors. |
14:30
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MR System Components & Safety Implications | |
| Filiz Yetisir1 | ||
1Boston Children's Hospital, Boston, MA, United States |
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The magnetic fields produced by the main magnet, gradient coils and RF coils are essential in creating an MR image. They enable spin alignment and precession, spatial encoding, and spin excitation and signal reception respectively. On the other hand, the magnetic and electric fields generated by these MR system components pose certain risks such as projectile effect, nerve stimulation, hearing damage and tissue heating. The underlying physics of the function and the safety implications of the main magnet, gradient coils and RF coils are explained in this talk without mathematical detail. Additionally, increased safety risks due to implants are discussed. |
15:00
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High-Field Imaging: From Physics to Clinics | |
| Anja G. van der Kolk1 | ||
1University Medical Center Utrecht, Utrecht, Netherlands |
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In this lecture, we will discuss the perks of high field MRI and how they can improve MR images and lesion detection, but also the costs and challenges we should accept and/or try to change. We will then translate these physics issues into practice: what quality and type of MR images can we acquire with high field MRI, and what limitations should we take into consideration? Equipped with this background in basic physics, we will then discuss how we can directly use high field MRI in clinical practice: the clear-cut clinical indications as well as promising avenues outside the brain. |
15:30
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Contrast Agents | |
| Alexander Radbruch1 | ||
1University of Bonn, Bonn, Germany |
15:00
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Perfusion Imaging of the Breast | |
| Wei Huang1 | ||
1Oregon Health & Science University, United States |
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Perfusion imaging of the breast as measured by the most common method of DCE-MRI is reviewed in this lecture. The three approaches for breast DCE-MRI data analysis, qualitative curve shape description, semi-quantitative analysis, and quantitative pharmacokinetic modeling, as well as their pros and cons, are discussed. Examples of major applications in clinical care and research of breast cancer are demonstrated. With quantitative pharmacokinetic modeling of DCE-MRI data increasingly used in clinical trial and research settings, major technical considerations that affect quantitative parameter accuracy and precision are discussed. |
16:00
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Spectroscopy in Breast Imaging | |
| Uma Sharma1 | ||
1All India Institute of Medical Sciences, New Delhi, India |
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In-vivo proton proton MR spectroscopy (MRS) has emerged as a non-invasive tool for diagnosis and to provide an insight into the biochemistry of breast cancer. The elevated levels of choline containing compounds (tCho) have been identified as a non-invasive biomarker for differentiating malignant and benign breast lesions. Using in-vivo quantification of absolute tCho concentration, cut-off values for the differentiation of malignant, benign and normal breast tissues were estimated. Combined use of water-to-fat ratio (W-F), tCho and lipid resonances improved the diagnostic ability of breast MRS. Monitoring of tCho and W-F ratio has been useful in predicting therapeutic response of tumor. |
16:30
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HIFU & Breast Interventions | |
| L. Wilbert Bartels1 | ||
1Image Sciences Institute/UMC Utrecht, Utrecht, Netherlands |
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Bioeffects provoked by ultrasound can be exploited for therapeutic use. For interventions in the breast, the thermal effects of high intensity focused ultrasound are of particular interest, both for thermal ablation of lesions, as well as for delivering long term mild hyperthermia treatments. MRI is well suited for image guidance of HIFU therapy, as it combines imaging with excellent soft-tissue contrasts with the ability to map and monitor temperature changes during therapy. Experiences with an MR-HIFU system specifically designed for breast applications will be discussed, with particular attention for challenges related to MRI for therapy planning, guidance, and evaluation. |
17:00
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Diffusion-Weighted Imaging of the Breast | |
| Savannah Partridge1 | ||
1Radiology, University of Washington, Seattle, WA, United States |
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Diffusion-weighted imaging (DWI) holds promise to address shortcomings of routine clinical breast MRI and to expand imaging capabilities in breast cancer management. DWI reflects tissue microstructure and provides unique information to aid in detection and characterization of breast lesions. Potential applications include improving diagnostic accuracy, guiding treatment decisions, and non-contrast screening. DWI is increasingly being incorporated into breast MRI protocols, and results of multicenter trials and recent standardization efforts are helping to establish clinical guidelines. Advancements in DWI acquisition and modeling approaches are emerging to improve image quality and extract additional biologic information from breast DWI scans. |
15:00
|
Motion Compensation in Pediatric Neuroimaging | |
| Camilo Cobos | ||
| Boston Children's Hospital | ||
15:30
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Motion Compensation in Fetal Imaging | |
| Usha Nagaraj | ||
| Cincinnati Children's Hospital | ||
16:00
|
Motion Compensation in Pediatric Body Imaging | |
| Susan Sutardi | ||
| Children's Hospital of Philadelphia | ||
16:30
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Subject-Based Motion Mitigation | |
| Nancy Hill Beluk | ||
| University of Pittsburgh | ||
17:00
|
Acquisition-Based Motion Compensation | |
| Jo Hajnal | ||
| King's College London | ||
17:30
|
Post-Processing-Based Motion Compensation | |
| Hosung Kim | ||
| University of Southern California | ||
| 0119
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16:00
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Motion-corrected 3D-EPTI with 4D navigator for fast and robust whole-brain quantitative imaging |
| Zijing Dong1,2, Fuyixue Wang1,3, Jie Xiang4, and Kawin Setsompop5,6 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 3Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 4Tsinghua University, Beijing, China, 5Department of Radiology, Stanford University, Stanford, CA, United States, 6Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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A motion-correction method is developed for the recently proposed 3D-EPTI to achieve fast and motion-robust quantitative imaging of the human brain. A 4D-navigator (x-y-z-echoes) is inserted into the relaxation-recovery dead-time of the sequence to provide accurate estimations of 3D-motion and B0-inhomogeneity changes at every TR (~2-3s), which are incorporated into a motion-and-phase corrected subspace reconstruction. The navigator utilizes an optimized spatiotemporal encoding to acquire central 3D k-space for accurate motion-estimation using just 4 small-flip-angle excitations, resulting in negligible signal-recovery reduction (<1%) to the 3D-EPTI acquisition. Simulation and in-vivo experiments preliminarily validate the accuracy of estimation and effectiveness of the reconstruction. |
| 0120
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16:00
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MERLIN: Motion Insensitive Silent Neuroimaging |
| Emil Ljungberg1, Tobias Wood1, Ana Beatriz Solana2, Steven C.R. Williams1, Gareth J. Barker1, and Florian Wiesinger1,2 | ||
1Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom, 2ASL Europe, GE Healthcare, Munich, Germany |
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In this work we present MERLIN (Motion Elimination in Radial acquisition Leveraging Interleaved Navigators): a new method for silent, motion insensitive, MRI using self-navigated zero echo time (ZTE) imaging. Using T1w ZTE neuroimaging as an example, we demonstrate that MERLIN can correct for rigid body motion and markedly improve image quality. Such a silent and motion insensitive neuroimaging protocol can save time and money in both clinical and research settings. |
| 0121 | 16:00
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Visualizing the cerebellar cortical layers with prospective motion correction |
| Nikos Priovoulos1, Mads Andersen2, Vincent O Boer3, and Wietske van der Zwaag1 | ||
1Spinoza Center, Amsterdam, Netherlands, 2Philips Healthcare, Copenhagen, Denmark, 3Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark |
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The cerebellar cortical microstructure is important for several functions, like motor control, but remain largely underexplored in vivo due to its small thickness. Here, we combined a susceptibility-weighted acquisition with in-plane resolution of just 0.2x0.2mm2 at 7Tesla along with a fat-navigator-based prospective motion correction. Using this setup, the cerebellar layers could be seen in the phase images of all 4 MRI-naive participants. Our results show that the cerebellar layers can be consistently visualized opening new neuroscientific and clinical dimensions. |
| 0122 | 16:00
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Motion Estimation for Brain Imaging at Ultra-High Field Using Pilot-Tone: Comparison with DISORDER Motion Compensation |
| Tom Wilkinson1,2, Felipe Godinez1,2, Yannick Brackenier1,2, Raphael Tomi-Tricot1,2,3, Lucilio Cordero-Grande1,2,4, Philippa Bridgen1,2, Sharon Giles1,2, Joseph V Hajnal1,2, and Shaihan J Malik1,2 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain |
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A ‘pilot-tone’ implementation for 7T head MRI was constructed by broadcasting RF at the appropriate frequency into the scanner room during data acquisition. This signal was demonstrated to enable motion estimation, when calibrated first by correlating measurements with motion estimates from image registration. Subsequently these estimates were compared with others obtained from the iterative DISORDER joint motion estimation & reconstruction method. These independent methods of motion estimation can potentially improve or replace other methods of motion correction at ultra-high field where motion-correction is particularly relevant. |
| 0123 | 16:00
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PET/MR respiratory motion gating for free |
| Florian Wiesinger1, Timothy Deller2, Floris Jansen2, Jose de Arcos Rodriguez1, Ronny R Buechel3, Philipp A Kaufmann3, and Edwin EGW ter Voert3 | ||
1GE Healthcare, Munich, Germany, 2GE Healthcare, Waukesha, WI, United States, 3Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland |
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Respiratory motion correction is a long-standing problem in hybrid PET/MR imaging with many partial solutions. Here we present a novel method based on extracting respiratory motion information from the PET data using the ultra-fast listmode reconstruction framework. Doing so a highly accurate respiratory waveform derived from the inside of the body (i.e. lung liver interface) is obtained for free without requiring an extra motion sensor or complicating the PET/MR imaging workflow. |
| 0124 | 16:00
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Separable motion estimation and correction for 2D TSE imaging using a rapid 3D volumetric scout acquisition |
| Daniel Polak1,2, Daniel Nicolas Splitthoff1, Berkin Bilgic2,3,4, Lawrence L. Wald2,3,4, Kawin Setsompop5, and Stephen F. Cauley2,3,4 | ||
1Siemens Healthcare GmbH, Erlangen, Germany, 2Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Department of Radiology, Stanford, Stanford, CA, United States |
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SAMER is a navigation-free retrospective motion-correction technique which achieves rapid motion estimation using an ultra-fast, low-resolution scout scan as an image prior. In this work, the SAMER framework is extended to 3D volumetric reconstructions of 2D TSE imaging data. The optimized 3D volumetric scout scan is combined with a distributed 2D TSE slice ordering for fully separable motion estimation with negligible added scan time. The motion correction performance was evaluated in-vivo for representative motion trajectories and compatibility to highly accelerated Simultaneous Multi-Slice acquisitions is demonstrated. |
| 0125 | 16:00
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Automated motion correction of multi-slice fetal brain MRI using a deep recursive framework |
| Wen Shi1,2,3, Jiwei Sun1, Yamin Li3, Cong Sun4, Tianshu Zheng1, Yi Zhang1, Guangbin Wang4, 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, 22. Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4Department of Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China |
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Prenatal MRI of fetal brain is vulnerable to unpredictable fetal motion and maternal movement. The conventional registration-based motion correction methods sometimes fail in excessive motion. In this work, we proposed a learning-based scheme to estimate fetal brain motion using a deep recursive framework, which replicated the iterative slice-to-volume registration and 3D volumetric reconstruction process. The network outperformed the previous learning-based methods and with good computational efficiency compared to traditional method. It also achieved high super-resolution reconstruction accuracy on simulated motion-corrupted slices, and therefore, is promising for fetal brain MRI analysis. |
| 0126
|
16:00
|
LAPNet: Deep-learning based non-rigid motion estimation in k-space from highly undersampled respiratory and cardiac resolved acquisitions |
| Thomas Küstner1,2, Jiazhen Pan3, Haikun Qi2, Gastao Cruz2, Kerstin Hammernik3,4, Christopher Gilliam5, Thierry Blu6, Sergios Gatidis1, Daniel Rueckert3,4, René Botnar2, and Claudia Prieto2 | ||
1Department of Radiology, Medical Image and Data Analysis (MIDAS), University Hospital of Tübingen, Tübingen, Germany, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3AI in Medicine and Healthcare, Klinikum rechts der Isar, Technical University of Munich, München, Germany, 4Department of Computing, Imperial College London, London, United Kingdom, 5RMIT, University of Melbourne, Melbourne, Australia, 6Chinese University of Hong Kong, Hong Kong, Hong Kong |
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Estimation of non-rigid motion is an important task in respiratory and cardiac motion correction. Usually, this problem is formulated in image space via diffusion, parametric-spline or optical flow methods. However, image-based registration can be impaired by aliasing artefacts or by estimating in low image resolution in cases of highly accelerated acquisitions. In this work, we propose a novel deep learning-based non-rigid motion estimation directly in k-space, named LAPNet. The proposed method, inspired by optical flow, is compared against registration in image space and tested for respiratory and cardiac motion as well as different acquisition trajectories providing a generalizable diffeomorphic registration. |
| 0127 | 16:00
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Nonrigid Motion-corrected Reconstruction Using Image-space Gridding for Free-breathing Cardiac MRI |
| Kwang Eun Jang1,2, Mario O. Malavé1, Dwight G. Nishimura1, and Shreyas S. Vasanawala3 | ||
1Magnetic Resonance Systems Research Lab (MRSRL), Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 2Department of Bioengineering, Stanford University, Stanford, CA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States |
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Motion remains a major challenge in MRI. Many motion-corrected reconstruction methods are available, yet models are often simplified. We propose image-space gridding that resamples images onto arbitrary grids, which provides a pair of operators that represents the forward and adjoint of a nonrigid transform. This allows existing nonrigid image registration techniques to be incorporated into model-based reconstructions. We apply this method to correct for respiratory motion in free-breathing cardiac MRI. Data from individual heartbeats are binned to reconstruct image-based self-navigators. Nonrigid motion is estimated using a diffeomorphic demons algorithm, and corrected by solving an optimization problem with image-space gridding operators. |
| 0128 | 16:00
|
Forward-Fourier Motion-Corrected Reconstruction for Free-Breathing Liver DCE-MRI |
| Sihao Chen1, Cihat Eldeniz1, Weijie Gan1, Ulugbek Kamilov1, Tyler Fraum1, and Hongyu An1 | ||
1Washington University in St. Louis, Saint Louis, MO, United States |
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Dynamic contrast-enhanced MRI (DCE-MRI) of the liver offers structural and functional information for assessing the contrast uptake visually. However, respiratory motion and the requirement of high temporal resolution make it difficult to generate high-quality DCE-MRI. In this study, we proposed a novel forward-Fourier motion-corrected reconstruction utilizing deep learning based 3D motion information on severely undersampled DCE-MRI. With no need to use view-sharing or DCE contrast smoothness constraint, this approach avoids enhancement spillover from adjacent DCE contrasts and reconstructs high-quality motion-free DCE images with reduced artifacts and enhanced sharpness. |
| 0129
|
16:00
|
Enhanced Ultra-High Field Brain MRI Using a Wireless Radiofrequency Sheet |
| Akbar Alipour1, Alan C Seifert1, Bradley Delman1, Raj Shrivastava2, Gregor Adriany3, Zahi Adel Fayad1, and Priti Balchandani1 | ||
1Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Radiology, University of Minnesota-Medical School, Minneapolis, MN, United States |
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Ultra-high field (UHF) MRI, such as 7T can visualize the brain in significantly improved detail through enhanced signal-to-noise ratio and contrast mechanisms. However, when the wavelength becomes comparable with the body dimensions, excitation radiofrequency (RF) field homogeneity at UHF systems is impaired by wavelength effects. Here we report a novel RF resonator sheet design with a simple circuit structure that couples inductively to the RF coil to enhance RF transmit homogeneity, efficiency, and signal sensitivity. In-vivo human experiment results demonstrate the feasibility and effectiveness of this method in brain MRI at 7T. |
| 0130 | 16:00
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Unshielded Bent Folded-End Dipole 9.4 T Human Head Transceiver Array Decoupled Using Modified Passive Dipoles. |
| Nikolai Avdievich1, Georgiy Solomakha2, Loreen Ruhm1, Anke Henning1,3, and Klaus Scheffler1 | ||
1High-field Magnetic Resonance, Max Planck Institute for Bilogical Cybernetics, Tübingen, Germany, 2Physics and Engineering, ITMO University, St. Petersburg, Russian Federation, 3Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Dipole antennas have been used for human imaging at ultra-high field (UHF, >7T). However, for head imaging, dipoles must be substantially shortened, which often cause poor (~ -10dB) decoupling. Common decoupling methods are difficult to use due to distant location of dipoles. Alternatively, adjacent transmit dipoles can be decoupled using passive dipole antennas placed parallel between them. Such passive dipoles may interact destructively with the RF field of the transmit array. In this work, we developed a novel decoupling method of adjacent transmit dipoles by using modified perpendicular passive dipole antennas. The constructed array demonstrated good decoupling and whole-brain coverage. |
| 0131
|
16:00
|
Novel Intraoral Dipole Antenna for Dental Applications |
| Ali Caglar Özen1,2, Djaudat Idiyatullin3, Gregor Adriany3, Steve Jungst3, Naoharu Kobayashi3, Beth R. Groenke4, Michael Bock1, Michael Garwood3, and Donald R. Nixdorf4,5 | ||
1Deptartment of Radiology, Medical Physics, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany, 2German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 4Division of TMD & Orofacial Pain, School of Dentistry, University of Minnesota, Minneapolis, MN, United States, 5Department of Neurology and Radiology, Medical School, University of Minnesota, Minneapolis, MN, United States |
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Previous studies showed that in dental MRI intraoral loop coils provide higher signal-to-noise ratio (SNR) than extraoral coils. An intraoral dipole that fits the dental arch can be used for reduced FOV and high transmit efficiency. Besides, dipoles do not restrict tongue movement. The design approach is based on comparative FDTD field simulations. The best transmit efficiency and homogeneity was achieved with a multi-wire curved dipole antenna. Additional high-permittivity cap further improved the transmit field inhomogeneity. When combined with extraoral flexible shielded loop resonators, SNR was increased and the coupling between the coils was less than -32dB. |
| 0132 | 16:00
|
Wearable knee receive array coil for imaging at different flexion angles |
| Syed Saad Siddiq1,2, Justin Ho2,3, Billie Wang2,3, Jerzy Walczyk2,3, Karthik Lakshmanan2,3, and Ryan Brown2,3 | ||
1Department of Electrical & Computer Engineering, New York University Tandon School of Engineering, Brooklyn, 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, 3Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Weight-bearing and kinetic MRI are important for measuring tibialfemoral joint dynamics, but are difficult to carry out using rigid knee coils that are typically designed to restrict, rather than enable, flexion motion. We explored off-the-shelf components and constructed a six-channel flexible knee coil with an elastic shell to maintain critical geometric overlap between neighbor coils. The array enables MRI during knee flexion while providing similar SNR compared to a state-of-the-art rigid commercial coil. We anticipate that the coil will be useful for weight-bearing or kinetic knee imaging in which rigid coils provide suboptimal SNR and/or severely restrict the desired posture. |
| 0133
|
16:00
|
Inductively coupled detectors for optogenetic-driven focal and multiregional fMRI signal enhancement |
| Yi Chen1, Qi Wang1,2, Hang Zeng1,2, Kengo Takahashi1,2, Sangcheon Choi1,2, Chunqi Qian3, and Xin Yu1,4 | ||
1Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, University of Tuebingen, Tuebingen, Germany, 3Department of Radiology, Michigan State University, East Lansing, MI, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States |
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To improve MR detection sensitivity of multi-modal fMRI platform, we present inductive coil which could relay locally detected MR signals to the external surface coil. Under sensory stimulation, evoked whole brain EPI-based fMRI and enhanced focal laminar-specific fMRI signals were acquired with high spatiotemporal resolution (100 μm and 100 ms) using a single experimental setup. Moreover, embedding inductive coil beneath the glue-secured optical fiber and the projection-mirrored cortex on the other hemisphere boosted multiregional fMRI sensitivity to investigate the interhemispheric connectivity with laminar-specificity. This is particularly helpful to study the optogenetic-driven brain connectivity with circuit specificity at multi-modal fMRI platform. |
| 0134
|
16:00
|
Metasurface for B1+ homogenization in abdominal MRI at 3T |
| Vsevolod Vorobyev1, Alena Shchelokova1, Aleksander Efimtcev1,2, Juan Domingo Baena3, Pavel Belov1, and Stanislav Glybovski1 | ||
1ITMO University, Saint-Petersburg, Russian Federation, 2Federal Almazov North-West Medical Research Center, Saint-Petersburg, Russian Federation, 3Universidad Nacional de Colombia, Bogota, Colombia |
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A novel approach for improving B1+ homogeneity in the abdominal area at 3T MRI is proposed and demonstrated numerically and experimentally. The approach is implemented via the ultralight and thin metasurface. The metasurface consists of metal wires loaded with capacitors printed on a flexible dielectric substrate of polyimide. Numerical studies and imaging of a volunteer covered with the proposed metasurface showed the same homogeneity of the transmit radiofrequency field distribution at the region-of-interest as the conventional dielectric pads. |
| 0135
|
16:00
|
A novel type of radiofrequency antenna for multi-regional 7T MRI |
| Aurelien Destruel1, Ewald Weber1, Mingyan Li1, Jin Jin1,2, Craig Engstrom3, Feng Liu1, and Stuart Crozier1 | ||
1School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 2Siemens Healthcare Pty Ltd, Brisbane, Australia, 3School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia |
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A novel radiofrequency coil element, named integrated multi-modal antenna with coupled radiating structures (I-MARS), is presented in numerical simulations and experiments for 7T MRI. Simulated comparisons of two variations of the proposed design with fractionated dipoles show I-MARS elements have advantageous robustness to load changes, inter-element isolation and are optimizable for power and SAR efficiency. Imaging of volunteers and phantom in different configurations (unilateral hip, prostate and shoulder imaging) did not require adjustments to tuning and matching, showing excellent stability and high performance for multi-anatomy 7T MRI. |
| 0136
|
16:00
|
Self-tuning stretchable RF receive coil concept using liquid metal encapsulated within an elastic polymer |
| Elizaveta Motovilova1,2, Jana Vincent3, Victor Taracila3, Fraser Robb3, Ek Tsoon Tan2, James Shin1, Hollis G. Potter2, Darryl B. Sneag2, and Simone Angela Winkler1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Radiology, Hospital for Special Surgery, New York, NY, United States, 3GE Healthcare, Aurora, OH, United States |
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Commercial coils, built to accommodate a wide range of anatomical dimensions, are rigid and of fixed size, thus yielding sub-optimal SNR and patient comfort. Existing flexible/stretchable solutions suffer from resonance detuning due to inductance changes under stretch/deformation. In this work, we propose an alternative coil concept using liquid metal microchannel conductors encapsulated in a stretchable polymer matrix. We developed a self-tuning coil using a stretchable, adaptively compensating, interdigital capacitor. We observed a <0.5% of frequency stability in silico and in vitro. In vivo results were demonstrated on 3T wrist imaging. |
| 0137 | 16:00
|
An RF Coil for a Head-Only MR System |
| J. Thomas Vaughan1, Brandon Tramm2, Scott Schillak2, Michael Garwood3, Michael Mullen4, Lance DelaBarre4, Djaudat Idiyatullin4, and Matt Waks4 | ||
1Biomedical Engineering, Radiology, Columbia University, New York, NY, United States, 2Virtumed, LLC, Minneapolis, MN, United States, 3University of Minnesota, Minneaoplis, MN, United States, 4University of Minnesota, Minneapolis, MN, United States |
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A new RF coil and frontend for a head-only, 1.5T fMRI system was designed, built and demonstrated. This coil features the ability for single and multichannel transceiver operation for transmit-receive switched and simultaneous transmit and receive (STAR) operation. It includes a window and an integrated shield. First applications will be for voluntary motor control studies in humans. |
| 0138
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16:00
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A non-resonant leaky-wave coil for UHF body imaging |
| Georgiy Solomakha1, Jan Taro Svejda2,3, Carel van Leeuwen4, Rustam Balafendiev1, Andreas Rennings2,3, Alexander Raaijmakers4,5, Stanislav Glybovski1, and Daniel Erni2,3 | ||
1The Department of Physics and Engineering, ITMO University, Saint Petersburg, Russian Federation, 2General and Theoretical Electrical Engineering (ATE), Faculty of Engineering and General and Theoretical Electrical Engineering (ATE), Faculty of Engineering, University of Duisburg-Essen, Duisburg, Germany, 3Center for Nanointegration Duisburg-Essen, Duisburg, Germany, 4Imaging Division, UMC Utrecht, Utrecht, Netherlands, 5Medical Image Analysis, Biomedical Engineering, Technical University of Eindhoven, Eindhoven, Netherlands |
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Ultra-high field (field strength higher than 7 Tesla) body imaging is an extensively developing field. Since at such Larmor frequencies of 298 MHz or higher volume (birdcage or TEM) coils are not efficient due to interference effects, surface or volume transmit arrays are commonly used. To obtain homogenous filed in ROI so-called RF-shimming procedure is commonly used. In this work, we present a new radiative RF-coil array for UHF MRI of the human body, based on a wideband non-resonant leaky wave antenna. |
16:00
|
When to Use Advanced Sequences & AI | |
| Katja Pinker-Domenig1 | ||
1Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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This presentation will explain the concept and methodology of AI-enhanced multiparametric MRI, summarize the current applications in breast cancer and address its challenges and limitations. |
16:30
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Difficult Cases the Breast Radiologist Should Know | |
| Silvia Perez1 | ||
1MD Anderson Cancer Center Madrid, Madrid, Spain |
17:30
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Approach to High-Risk Screening | |
| Eun Sook Ko1 | ||
1Samsung Medical Center, Seoul, Korea, Republic of |
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High-risk women can be identified by genetic testing, mathematical risk prediction models and risk factor assessment. Reasons supporting the use of MRI for breast cancer screening may be summarized in two ways: the performance of MRI and the biologic characteristics of MRI-detected cancer. In general, annual screening is recommended by the ACS for BRCA mutation, any untested first degree relative of a known mutation carrier, anyone with a > 20% lifetime risk of developing breast cancer, history of thoracic radiation, or a known syndrome (Li-Fraumeni or Cowden’s). Abbreviated MRI, ultrafast MRI, or DWI could be additional option for high-risk screening.
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18:00
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How to Evaluate Treatment Response | |
| Nola M. Hylton1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
| 0139 | 16:00
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A Hybrid DWI Approach for Simultaneous Assessment of Cellularity, Vascularity, and Heterogeneity of Breast Lesions |
| Muge Karaman1,2, Yangyang Bu3,4, Guangyu Dan1,2, Zheng Zhong1,2, Qingfei Luo1, Shiwei Wang3,4, Changyu Zhou3,4, Weihong Hu3,4, X. Joe Zhou1,2,5, and Maosheng Xu3,4 | ||
1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China, 4Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Breast cancer is the second most common cancer among women. Breast tissue has a variety of structural features leading to different tissue properties which are collectively linked to the pathologic state of the breast lesions. In this study we demonstrate a hybrid DWI approach for simultaneous assessment of tissue cellularity, vascularity, and heterogeneity (DISMANTLE) based on intravoxel incoherent motion (IVIM) and continuous-time random walk (CTRW) diffusion models. Our results have shown that DISMANTLE improved the differentiation among benign and malignant breast lesions compared to the classical implementation of either IVIM or CTRW model. |
| 0140 | 16:00
|
Quantitative DCE and DW-MRI to Evaluate Suspicious Mammographic Calcifications: Results from a Single Institution Prospective Clinical Trial |
| Janis M. Yee1, Daniel S. Hippe1, Michael Hirano1, Bonny Chau1, Debosmita Biswas1, Anum S. Kazerouni1, Mary Lynn Bryant1, Isabella Li1, Jennifer Xiao1, Wei Huang2, Savannah C. Partridge1, and Habib Rahbar1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Oregon Health & Science University, Portland, OR, United States |
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Mammographic calcifications remain a diagnostic dilemma with low positive predictive value for malignancy. Our study investigated the use of quantitative DCE and DW-MRI metrics to problem solve suspicious calcifications prior to biopsy. In patients with a suspicious enhancing MRI correlate, malignant lesions exhibited higher peak PE, peak SER, functional tumor volume, and Ktrans. Basic and advanced 3D DW-MRI parameters did not yield statistically significant discriminatory values in this small pilot study. Use of quantitative MRI features shows potential to reduce the number of unnecessary biopsies for suspicious mammographic calcifications among the subset that demonstrate suspicious enhancement. |
| 0141
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16:00
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Deregulation of lipid composition in peri-tumoural adipose tissue in postmenopausal patients with breast cancer |
| Sai Man Cheung1, Vasiliki Mallikourti1, Tanja Gagliardi2,3, Ehab Husain4,5, Yazan Masannat5,6, Steven D Heys6, and Jiabao He1 | ||
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Clinical Radiology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Radiology, Royal Marsden Hospital, London, United Kingdom, 4Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 6Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom |
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Deregulation of lipid metabolism has been shown in BRCA1/2 genetic mutation carriers. Mammary adipose tissues in postmenopausal women are the primary sites of oestrogen production linked to tumour initiation and progression. Therefore, lipid composition in postmenopausal breast plays a key role in breast cancer monitoring and subsequent development of prevention strategies. Previous studies focused on cell or animal models and invasive lipid extraction methods, while conventional MRS is inadequate in complete lipid composition measurement. We hypothesised that lipid composition in peri-tumoural breast adipose tissue is affected by the presence of tumour in postmenopausal women, using a non-invasive 2D MRS approach. |
| 0142
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16:00
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Ultrafast DCE MRI for post-NST evaluation of breast cancer |
| Maya Honda1, Masako Kataoka1, Rie Ota1, Mami Iima1,2, Akane Ohashi3, Kanae Kawai Miyake1, Marcel Dominik Nickel4, Yosuke Yamada5, Masakazu Toi6, and Yuji Nakamoto1 | ||
1Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, Kyoto, Japan, 3Department of Radiology, National Hospital Organization Kyoto Medical Center, Kyoto, Japan, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan, 6Department of breast surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan |
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The study evaluated the accuracy for predicting pathologic complete response (pCR) after neo-adjuvant systemic therapy (NST) using ultrafast dynamic contrast-enhanced (UF-DCE) MRI. The receiver operating characteristics (ROC) analysis for the presence of residual lesion revealed higher diagnostic performance of UF-DCE MRI compared with conventional dynamic contrast-enhanced (DCE) MRI overall and in the group of triple negative subtype. The deviation from pathology was smaller for UF-DCE MRI derived sizes compared to conventional DCE MRI overall and in luminal group. UF-DCE MRI potentially assesses the post-NAC status in breast cancer patients accurately in a shorter acquisition time. |
| 0143
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16:00
|
Effect of enhancement segmentation thresholds on predicting neoadjuvant response in breast cancer patients using DCE-MRI textural features |
| Deep K Hathi1, Rohan Nadkarni1, Natsuko Onishi1, Alex Anh-Tu Nguyen1, Wen Li1, Efstathios D Gennatas2, Bonnie N Joe1, Elissa R Price1, I-SPY 2 Consortium3, David C Newitt1, Ella F Jones1, and Nola M Hylton1 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States, 3Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
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This study explores the prediction of pathologic complete response (pCR) using tumor-derived textural features in breast cancer patients receiving neoadjuvant chemotherapy. Textural features were generated from increasingly restricted tumor masks applied on DCE-MRI signal enhancement ratio maps. Elastic net and random forests models were trained on features from baseline and early treatment timepoints, resulting in minimal differences in AUC between percent enhancement segmentation thresholds and a mean AUC of 0.68 (range 0.60-0.75). Our analysis suggests that, for the prediction of pCR, textural features derived from strongly enhancing regions dominate over those from regions of lower enhancement. |
| 0144 | 16:00
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Predicting malignancy in additional lesion in breast cancer: A machine learning approach combining radiomics and clinical imaging analysis |
| Tien Anh Nguyen1, Hyo Jae Lee2, Luu-Ngoc Do1, Hyo-Soon Lim2,3, and Ilwoo Park3,4,5 | ||
1Radiology, Chonnam National University, GWANGJU, Korea, Republic of, 2Radiology, Chonnam National University Hwasun Hospital, Hwasun, Korea, Republic of, 3Radiology, Chonnam National University, Gwangju, Korea, Republic of, 4Radiology, Chonnam National University Hospital, GWANGJU, Korea, Republic of, 5Artificial Intelligence Convergence, Chonnam National University, Gwangju, Korea, Republic of |
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The purpose of this study was to investigate the feasibility of machine learning classifiers combining radiomics and clinical imaging interpretation for predicting malignancy in additional MR-detected enhancing lesions on multiparametric breast MRI. Machine learning algorithms trained with the combination of radiomics features extracted from breast MRI and clinical imaging interpretation what was obtained by an experienced breast radiologist demonstrated the maximal accuracy and AUC of 86.2% and 92.6%, respectively. The results from this study suggest that our approach may provide a noninvasive assisting tool to guide proper management that can reduce the use of unnecessary US or biopsy. |
| 0145
|
16:00
|
Elucidating the compartmental origin of glucoCEST signal using glucose analogues |
| Yohann Mathieu-Daudé1, Mélissa Vincent1, Julien Valette1, and Julien Flament1 | ||
1Université Paris-Saclay, Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France |
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The compartmental origin of glucoCEST signal is still an ongoing debate. To address this crucial question, we proposed in this study to intravenously inject natural D-glucose and several metabolizable and non-metabolizable glucose analogues to compare their relative glucoCEST signal kinetics. The accurate measurements of glucoCEST signal kinetics provided deeper insights into the origin of glucoCEST signal and constitute a major step toward quantitative measurement of glucose metabolism using CEST imaging method. This could provide a new non-invasive tool to study brain energy metabolism defects observed in numerous neurodegenerative disorders. |
| 0146 | 16:00
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Motion correction for 3D CEST imaging without direct water saturation artefacts |
| Johannes Breitling1, Andreas Korzowski1, Neele Kempa1, Philip S. Boyd1, Mark E. Ladd1, Peter Bachert1, and Steffen Goerke1 | ||
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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In CEST-MRI, motion correction is compromised by the drastically changing image contrast at different frequency offsets and particularly at the direct water saturation. In this study, a simple extension for conventional image registration algorithms is proposed, enabling a robust and accurate motion correction of CEST-MRI data. Performance of different approaches was investigated using a ground truth dataset, generated from repeated 3D in vivo measurements at 3 T, corrupted with realistic random rigid motion patterns and noise. In comparison to the conventional image registration and a cutting-edge algorithm specifically developed for CEST-MRI, the proposed method achieved more accurate and robust results. |
| 0147 | 16:00
|
Diffusion-weighted Chemical Exchange Saturation Transfer Imaging at 7T Human MRI |
| Yujin Jung1, Jaeseok Park2, Seong-Gi Kim2, and Sung-Hong Park1 | ||
1Department of Bio and Brain engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Global Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of |
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CEST is a useful method to diagnose tumor or stroke, but lacks physical information such as compartments with different diffusivities. In this study, we developed a new diffusion-weighted steady-state CEST sequence using 3D EPI at 7T. The technique was tested in phantom and human brain, and the preliminary CEST-weighted apparent diffusion coefficient maps provided both CEST and diffusion information. Further study is required to clearly understand the signal source and the potential as a new biomarker. |
| 0148 | 16:00
|
Deep Learning Enables A Half Z-spectrum Sampling-based B0 Inhomogeneity Correction for CEST MRI |
| Yiran Li1, Danfeng Xie1, Dushyant Kumar2, Abigail Cember2, Ravi Prakash Reddy Nanga2, Hari Hariharan2, John A. Detre3, Ravinder Reddy2, and Ze Wang1 | ||
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 3Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States |
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This study presents a DL based framework for correcting B0 inhomogeneity for GluCEST imaging using fewer acquisitions. Based on 3 or 5 positive offset CEST images, the proposed method can save >80% of CEST imaging acquisition time as compared to current 26 pairs of double site z-spectrum irradiations based protocol. This approach can be applied to other CEST imaging as well. |
| 0149 | 16:00
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Quasi-steady-state (QUASS) CEST for robust quantification of tumor MT and APT effects by correction of saturation time and relaxation delay |
| Xiao-Yong Zhang1, Botao Zhao1, Zhe Phillip Sun2, and Yin Wu3 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States, 3Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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To reduce CEST measurement’s dependence on long RF saturation duration (Ts) and relaxation delay (Td), we developed a post-processing strategy to derive the quasi-steady-state (QUASS) CEST from apparent measurements. The simulation and in-vivo experiment results show that the apparent MT and APT effects and their contrast substantially depend on Ts and Td. In comparison, the QUASS MT and APT effects and their difference between contralateral normal tissue and tumor exhibit little dependence on Ts and Td. To conclude, the QUASS CEST algorithm enables robust CEST quantification and offers a straightforward approach to standardize CEST measurements. |
| 0150 | 16:00
|
Non-invasive mapping of cerebral glucose transport and metabolism using glucoCESL MRI |
| Ben R Dickie1,2, Tao Jin3, Rainer Hinz4, Geoff JM Parker5,6, Laura M Parkes1,2, and Julian Matthews1,2 | ||
1Division of Neuroscience and Experimental Psychology, 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, 3Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 4Division of Informatics, Imaging, and Data Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, United Kingdom, 5Centre for Medical Image Computing, Department of Computer Science and Department of Neuroinflammation, University College London, London, United Kingdom, 6Bioxydyn Ltd, Manchester, United Kingdom |
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Chemical-exchange spin-lock (CESL) MRI can detect uptake and clearance of intravenously administered glucose into the brain at high spatial resolution. We apply quantitative modelling to describe glucoCESL kinetics in tumour-bearing and healthy rats. Parameters relating to glucose transport (Tmax, Kt, kd), metabolism (MRglu) and blood volume (vb) were estimated and compared between tumour and cortical tissue. Kinetic modelling of glucoCESL MRI data yields meaningful estimates of glucose transport and metabolism, and our modelling approach holds great promise to probe glucose transport and metabolism at high spatial resolution. |
| 0151 | 16:00
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Inhomogeneous Magnetization Transfer Steady State Imaging at 0.5T: Exploring SAR and B1+RMS envelope. |
| Andrew T Curtis1 and Chad T Harris1 | ||
1Research and Development, Synaptive Medical, Toronto, ON, Canada |
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A balanced steady state sequence with multiband saturation pulses was implemented on a 0.5T scanner to assess the potential for additional inhomogeneous magnetization transfer contrast generation from the higher SAR and B1+RMS limits. Volumes were acquired with B1+RMS saturation less than 15uT. Initial results are promising with ihMT contrast scaling nearly linearly with applied B1+ as expected, achieving contrast levels of 12-16% in white matter for B1+RMS of 15uT. This linear contrast increase could directly offset losses in polarization efficiency from mid-field as compared to high field, providing an interesting application area with competitive CNR. |
| 0152 | 16:00
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Motion corrected magnetization transfer-mediated fingerprinting (MT-MRF) using DISORDER. |
| Daniel J. West1, Lucilio Cordero-Grande1,2,3, Rui P. A. G. Teixeira1,2, Giulio Ferrazzi4, Joseph V. Hajnal1,2, and Shaihan J. Malik1,2 | ||
1Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, King's College London, London, United Kingdom, 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BNN, Madrid, Spain, 4IRCCS San Camilo Hospital, Venice, Italy |
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ihMT is a promising approach for myelin imaging due to its specificity to substances with non-zero dipolar order. However, tissue model quantification requires high resolution acquisitions in excess of twenty minutes in length and so necessitates the use of motion correction methods to prevent artefacts. In this work we combine our recent MT-mediated MRF sequence with the DISORDER retrospective motion correction method. This new framework can acquire and reconstruct high resolution motion-compensated 3D time-resolved data from fingerprinting sequences. Semi‑quantitative MT and ihMT ratio maps as well as quantitative maps of tissue parameters can be obtained from the resulting images. |
| 0153 | 16:00
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Formalism of the T1ρ* relaxation pathway: Correction of quantification errors for rapid myocardial T1ρ mapping in mice |
| Maximilian Gram1,2, Daniel Gensler1,3, Patrick Winter1,2, Fabian Gutjahr2,3, Michael Seethaler2,3, Peter Michael Jakob2, and Peter Nordbeck1,3 | ||
1Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany, 3Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany |
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The rapid quantification of T1ρ using fast gradient echo sequences for data acquisition leads to a contamination of the T1ρ relaxation pathway. Analogous to the T1* relaxation occurring in snapshot flash sequences, a relaxation pathway T1ρ* is effectively observed. As a consequence, quantification errors can arise depending on T1 and the sequence parameters used for imaging. In this work we introduce a formalism for the description of T1ρ* and present a method that can be applied for the subsequent correction of study results in the field of cardiac MRI. |
| 0154 | 16:00
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Utility of Adiabatic T1ρ and T2ρ Mapping to Detect Ischemic Injury to the Femoral Head: An In Vivo Piglet Model Study at 3T MRI |
| Casey P. Johnson1,2, Sampada Bhave1, Alexandra R. Armstrong1, and Ferenc Toth1 | ||
1Department of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Adiabatic T1ρ and T2ρ are potentially advantageous relaxation time mapping techniques for in vivo imaging of the musculoskeletal system. In this work, we compared adiabatic T1ρ and T2ρ mapping to T2 and continuous-wave T1ρ mapping in a piglet model of osteonecrosis of the femoral head. We found that adiabatic T2ρ had a robust increase in response to ischemic injury to the bone marrow, bone, and epiphyseal cartilage of the ischemic femoral head compared to the contralateral healthy femoral head. Adiabatic T2ρ may be a useful technique to detect early-stage injury in ischemic bone and joint disorders. |
| 0155 | 16:00
|
Functional network degeneration is associated with blood neurofilament light and cognitive decline in autosomal dominant Alzheimer disease |
| Muriah D Wheelock1, Patricia Mansfield2, Jeremy F Strain1, Beau M Ances1, Oliver Preische3, John C Morris1, Randall J Bateman1, Mathias Jucker3, Tammie L.S. Benzinger1, Adam T Eggebrecht1, and Brian A Gordon1 | ||
1Washington University in St. Louis, St. Louis, MO, United States, 2St. Louis University, St. Louis, MO, United States, 3University of Tubingen, Tubingen, Germany |
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Research suggests that serum neurofilament light (NfL), an indirect measure of neuronal cell death, is associated with volumetric and white matter changes, and is predictive of cognitive decline in Alzheimer disease (AD). We report that NfL is associated with default mode network (DMN) functional connectivity as well as DMN connectivity with control networks. DMN connectivity with control networks is additionally associated with concurrent cognition. Hierarchical regression demonstrates NfL, DMN, and Aβ-amyloid each contribute to predicting cognition. These findings suggest NfL is an indirect marker of functional network degeneration and both NfL and DMN connectivity are distinct biomarkers of AD progression. |
| 0156
|
16:00
|
Mapping functional connectivity of thalamus subdivisions in obsessive-compulsive disorder |
| Lingxiao Cao1, Hailong Li1, Jing Liu1, Xue Li2, Suming Zhang1, Xinyu Hu1, Qiyong Gong1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Sichuan University, Chengdu, China |
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Using connectivity-based parcellation technique, we segmented thalamus into two distinct subdivisions comprising superior thalamus and inferior thalamus based on their similarity in resting-state functional connectivity properties. We then compared the functional connectivity profiles of each thalamic subdivisions between the obsessive-compulsive disorder (OCD) patients and healthy control (HC), and revealed the disturbances of the superior/inferior thalamo-cortical and inferior thalamo-cerebellar circuitry in OCD patients. These findings suggested that thalamus subdivisions play different role in motor, cognitive, affective processes in OCD, which may underlie the pathophysiology of the disorder. |
| 0157 | 16:00
|
Abnormal cerebrovascular reactivity in human immunodeficiency virus-infected patients with or without smoking: a resting-state fMRI study |
| Lincoln Kartchner1, Linda Chang2, Thomas Ernst2, Huajun Liang2, Yuangi Shang2, and Peiying Liu1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States |
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Human immunodeficiency virus (HIV) infection is associated with neurodegeneration, but its effect on cerebrovascular function is not well understood. In a cohort of 160 participants, we investigated the effects of HIV and smoking on cerebrovascular reactivity (CVR) measured with standard resting-state blood oxygenation level dependent (BOLD)-fMRI. Across four participant groups (HIV+/HIV- x smokers/nonsmokers), both HIV-infection and smoking status altered CVR, but their effects were different across brain regions. Furthermore, lower nadir CD4 predicted lower thalamus CVR. |
| 0158 | 16:00
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Resting-State fMRI Frequency Change During Brain Aging |
| Xiaole Zhong1 and J. Jean Chen1,2 | ||
1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Frequency features of the resting-state functional magnetic resonance imaging (rs-fMRI) signal can be crucial metrics that reveal patterns of brain aging. However, how the frequency shift during brain aging is still unclear. In this study, we examined the peak frequency and standard deviation of the rs-fMRI signal in healthy aging adults, divided into (0-0.1 Hz) and (0.1-0.3 Hz) bands. We found that in older adults, rs-fMRI fluctuation amplitude is lower but fluctuation frequency is higher in older adults, and these effects depend on the fMRI frequency range. |
| 0159 | 16:00
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The effect of scan length on reliability of resting-state fMRI in patients with drug-resistant epilepsy (DRE) in awake and under anesthesia |
| Faezeh Vedaei1,2, Mahdi Alizadeh1, Sara Thalheimer1, Victor Romo3, Feroze Mohamed4, and Chengyuan Wu1 | ||
1Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States, 2Department of Bioengineering, Temple University, Philadelphia, PA, United States, 3Department of Anesthesiology, Thomas Jefferson University, Philadelphia, PA, United States, 4Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States |
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Resting-state fMRI suffers from poor test-retest reliability because of between-subject and within-subject variability. Scan duration is one the main factors affects the reliability of rs-fMRI studies. We showed that under anesthesia, the time needed to optimize ICC of rs-fMRI metrics including ALFF, fALFF, functional connectivity, and ReHo is lower compare with awake state. The optimum scan duration that satisfies good reliability is 14-20 min and 8-17 min in awake and under anesthesia, respectively. Also, variability of ICCs is lower under anesthesia than in awake. |
| 0160 | 16:00
|
Disrupted Topological Organization of Structural and Functional Brain Connectomes in Type-2 Diabetes Patients |
| Ying Xiong1, Qiang Zhang2, and Wenzhen Zhu1 | ||
1Radiology, Tongji Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China, 2Neurology, Tongji Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China |
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The T2DM patients with cognitive impairment showed altered global efficiency(Eg), local efficiency(Eloc), clustering-coefficient(Cp), shortest-path-length(Lp) as well as nodal efficiencies in both structural and functional networks, compared to those with normal cognition and healthy controls. Some network metrics were correlated with neuropsychological assessments and disease severity. The disrupted topological organization of structural and functional connectomes (measured by Eg, Eloc, Cp and Lp) were found in T2DM with cognitive impairment, while these topological properties in T2DM with normal cognition were preserved equally to controls. The structural and functional connectomes research shows potential feasibility in characterizing intrinsic alterations of diabetic encephalopathy. |
| 0161 | 16:00
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Neuroimaging and obesity in adults with pre-diabetes or diabetes: results from the UK Biobank |
| Christopher R. Kouyoumdjian1, Kayley Marchena2,3, Masud Hussain3, and Bradley J. MacIntosh2,3 | ||
1University of Toronto, Scarborough, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Sunnybrook Research Institute, Toronto, ON, Canada |
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Glycated haemoglobin and body mass index (BMI) are implicated in neurodegeneration and diabetes. Diabetes-related changes in T2* estimates and fractional amplitude of low frequency fluctuations (fALFFs) are less understood. We investigated these neuroimaging estimates within the thalamic nuclei, hippocampi, and caudate nuclei of the UK Biobank-derived pre-diabetes and diabetes adult groups. Multiple regression analyses elucidated BMI as the robust predictor of hippocampal T2* estimates in both subgroups. These metrics extracted from two pulse sequences were helpful in understanding the brain and BMI associations, which is important in the assessment of diabetes and pre-diabetes as a risk factor for neurodegenerative disorders. |
| 0162 | 16:00
|
Altered brain functional network dynamics in obsessive-compulsive disorder |
| Lekai Luo1, Qian Li1, Wanfang You1, Yuxia Wang1, Yanchun Yang2, Qiyong Gong1, and Fei Li1 | ||
1Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Psychiatry, West China Hospital of Sichuan University, Chengdu, China |
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Dynamic functional connectivity (dFC) and dynamic topological analyses were used to investigate the whole brain resting-state dynamic property abnormalities in patients with obsessive-compulsive disorder (OCD). Our results provide evidence of clinically relevant aberrant dynamic brain activity in OCD. Increased functional segregation among networks and impaired functional flexibility in connections among brain regions in default mode network (DMN) and salience network (SAN) may play important roles in the neuropathology of OCD. |
| 0163 | 16:00
|
Cerebrovascular reactivity changes in glaucoma patients using resting-state fMRI |
| Russell W. Chan1,2, Ji Won Bang2, Vivek Trivedi2, Peiying Liu3, Gadi Wollstein2, Joel S. Schuman2, and Kevin C. Chan1,2,4 | ||
1Neuroscience Institue, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Cerebrovascular reactivity (CVR) is the response of cerebral blood vessels to vasoactive stimuli. Dampened CVR can precede and contribute to neuropathology. However, CVR assessments in glaucoma patients have been lacking at the whole-brain scale. Here, we applied relative CVR (rCVR) mapping using resting-state fMRI to investigate vascular reserve changes in glaucoma patients. Our results show that visual cortical rCVR decreases with severity and is coupled with clinical ophthalmic assessments. Interestingly, rCVR in both basal forebrain and hippocampus increase with severity indicating their involvements in glaucoma. Together, resting-state fMRI derived rCVR can potentially be used for studying, diagnosing and monitoring glaucoma. |
| 0164 | 16:00
|
Altered dynamic functional connectivity in subjects with cerebral glioma |
| Siqi Cai1,2, Zhifeng Shi3, Yuchao Liang4, Chunxiang Jiang1,2, Shihui Zhou1,2, and Lijuan Zhang*1 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Huashan Hospital of Fudan University, Shanghai, China, 4Neurosurgery, Beijing Tiantan Hospital of Capital Medical University, Beijing, China |
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This study investigated the impact of cerebral glioma on the dynamic properties of functional connectivity (dFC). Cerebral gliomas induce alteration in dFC featuring more frequent strengthened connectivity and state transition between strong and sparse functional connectivity, indicating an extensive disturbance of functional segregation. As alterations in the dFC were reported to be associated with the progression of brain diseases, dFC variation induced by glioma may entail additional information to interpret the clinical profiles that are not ascribed to the lesion topology and serve as a new biomarker for the tumor characterization of glioma. |
16:00
|
Gray Matter Cytoarchitecture: What Are We Looking at & What Are We Looking For? | |
| Timothy Shepherd | ||
| New York University School of Medicine | ||
16:30
|
Acquisitions Tailored for Gray Matter: Sub-mm Resolution Techniques for Sub-mm Structures | |
| Congyu Liao | ||
| Massachusetts General Hospital | ||
17:00
|
Overcoming Messy Neurites: Microscopic Anisotropy & Diffusion Tensor Encoding Techniques | |
| Chantal Tax | ||
| Cardiff University | ||
17:30
|
Diffusion Kurtosis Imaging & Emerging Biophysical Models in Gray Matter | |
| Hao Huang | ||
| University of Pennsylvania | ||
18:00
|
Water Exchange in Gray Matter: More Challenges & Opportunities for Diffusion MRI | |
| Ruiliang Bai | ||
| Zhejiang University | ||
| 16:00 | Horizontal Ultra-High Field Preclinical MRI |
| Luisa Ciobanu |
| 16:30 | Vertical Ultra-High Field Preclinical MRI |
| Samuel Grant |
| 16:00 | Diffusion MR: Advantages of High-Performance Gradients |
| Junzhong Xu |
| 16:30 | High-Resolution DTI Using Preclinical High-Performance Gradients |
| Jürgen Schneider |
| 16:00 | Preclinical MRI Research in Non-Human Primates |
| Afonso Silva |
| 16:30 | Animal Handling & Monitoring in Preclinical MR |
| Iris Zhou |
16:00
|
Imaging the Brain: What’s Missing? | |
| Javier Villanueva-Meyer | ||
| University of California, San Francisco | ||
16:30
|
Imaging Beyond Brain Perfusion Using 129Xe MRI | |
| Madhwesha Rao | ||
| University of Sheffield | ||
17:00
|
Detecting Metabolic Abnormalities in the Diseased Brain by HP 13C MRI | |
| Myriam Chaumeil | ||
| University of California, San Francisco | ||
17:30
|
HP 13C MRI of Brain Metastases: New Frontiers | |
| Charles Cunningham | ||
| University of Toronto | ||
| 17:00 | How to Get onto the Cloud |
| Andrey Fedorov |
0:00
|
Solving Fundamental Challenges in Preclinical MRI to Improve Cancer Clinical Trials | |
| Thomas Yankeelov | ||
| University of Texas at Austin | ||
0:00
|
MR Imaging of Mice Tibia for Co-Clinical Studies of Myelofibrosis | |
| Ghoncheh Amouzandeh | ||
| University of Michigan | ||
0:00
|
Improving Murine Abdominal DWI by Radial k-Space Sampling & Deep Learning | |
| Yong Fan1, Steven Pickup2 | ||
| University of Pennsylvania1, University of Pennsylvania2 | ||
0:00
|
Increased Rigor & Reproducibility in Hyperpolarized 13C with Mouse Cancer Models | |
| Renuka Sriram | ||
| University of California, San Francisco | ||
0:00
|
Promises, Challenges & Real-World Experience with PET/MR Imaging of Small-Animal Models in Co-Clinical Cancer Research | |
| Charles Manning1, Kooresh Shoghi2 | ||
| The University of Texas MD Anderson Cancer Center1, Washington University in St. Louis2 | ||
0:00
|
Advances in Validation of Imaging Markers: Connecting 3D Multi-Modal MR Imaging & 2D Pathology in a Mouse Model of Sarcoma | |
| Stephanie Blocker | ||
| Duke University | ||
0:00
|
Predicting Therapeutic Response via Quantitative MRI | |
| Anum Kazerouni | ||
| University of Washington | ||
0:00
|
The NCI Co-Clinical Imaging Research Resource Program (CIRP) | |
| Huiming Zhang | ||
| National Cancer Institute | ||
| 0165
|
18:00
|
Myelin Water Fraction Mapping in developing children using Magnetic Resonance Fingerprinting |
| Matteo Cencini1,2, Marta Lancione2,3, Laura Biagi1,2, Jan W Kurzawski1,2, Rosa Pasquariello1, Graziella Donatelli2,4, Claudia Dosi1,5, Chiara Ticci1,5, Roberta Battini1,5, Guido Buonincontri1,2, and Michela Tosetti1,2 | ||
1IRCCS Stella Maris, Pisa, Italy, 2Imago7 Foundation, Pisa, Italy, 3IMT School for Advanced Studies Lucca, Lucca, Italy, 4Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy, 5Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy |
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Magnetic Resonance Fingerprinting (MRF) has been used to obtain Myelin Water Fraction (MWF) estimates in a cohort of developing children by using a three-component signal model. Here, we used a recent approach in which we perform sub-voxel tissue characterization without assumptions on the number and properties of the model components. We then used this signal model to study the myelination process in the developing brain on a 2D MRF dataset. Finally, we measured MWF on a set of subjects acquired with 3D MRF scan and compared the results to the 2D experiment. |
| 0166
|
18:00
|
Simultaneous morphometry and relaxometry of the human brain using three-dimensional MR fingerprinting at 1.5 and 3T |
| Shohei Fujita1,2, Matteo Cencini3,4, Guido Buonincontri3,4, Naoyuki Takei5, Rolf F. Schulte6, Wataru Uchida1, Akifumi Hagiwara1, Koji Kamagata1, Osamu Abe2, Michela Tosetti3,4, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Imago7 Foundation, Pisa, Italy, 4IRCCS Stella Maris, Pisa, Italy, 5MR Applications and Workflow, GE Healthcare, Tokyo, Japan, 6GE Healthcare, Munich, Germany |
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Magnetic resonance fingerprinting (MRF) permits simultaneous acquisition of T1 and T2 maps perfectly aligned to the anatomy, allowing morphometry and relaxometry analysis of the brain in a single scan. Here, we examined the reproducibility and repeatability of simultaneous morphology and relaxometry of brain structures in healthy volunteers using three-dimensional MRF at multiple field strengths. Scan-rescan tests of three-dimensional MRF were performed at 1.5 and 3T. The local thickness, volume, T1, and T2 values were calculated for each representative neuroanatomical structure using automatic brain segmentation software. These results can help establish imaging biomarkers using MRF for clinical use. |
| 0167
|
18:00
|
3D Magnetic Resonance Fingerprinting at 50 mT |
| Thomas O`Reilly1, Peter Börnert1,2, Andrew Webb1, and Kirsten Koolstra1 | ||
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Philips Research Hamburg, Hamburg, Germany |
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In vivo MR relaxation times, their inter-subject variations, and changes in different diseases have not been widely studied at very low magnetic fields (<100 mT). In this work, we implemented a 3D MRF sequence on a 50 mT Halbach permanent magnet system to efficiently measure relaxation times in vivo. We used a short flip angle train and further accelerate the scans by using random undersampling and matrix completion reconstruction. Initial in vivo and phantom data show good agreement with relaxation time values measured with less efficient conventional techniques. |
| 0168
|
18:00
|
Learning-based Optimization of Acquisition Schedule for Magnetization Transfer Contrast MR Fingerprinting |
| Beomgu Kang1, Byungjai Kim1, Hye-Young Heo2,3, and Hyunwook Park1 | ||
1Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Magnetization transfer contrast MR fingerprinting (MTC-MRF) is a novel quantitative imaging method that simultaneously quantifies free bulk water and semisolid macromolecule parameters using pseudo-randomized scan parameters. Here, we propose a framework for learning-based optimization of the acquisition schedule (LOAS), which optimizes RF saturation-encoded MRF acquisitions with a minimum number of acquisitions for tissue parameter estimation. Unlike the optimization methods based on indirect measurements, the proposed approach can optimize scan parameters by directly computing quantitative errors in tissue parameters. |
| 0169
|
18:00
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Sequence Design for Fast and Robust MR Fingerprinting Scans using Quantum Optimization |
| Siyuan Hu1, Ignacio Rozada2, Rasim Boyacioglu3, Stephen Jordan4, Sherry Huang3, Matthias Troyer4, Mark Griswold3, Debra McGivney3, and Dan Ma3 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 21Qbit, Vancouver, BC, Canada, 3Case Western Reserve University, Cleveland, OH, United States, 4Microsoft, Redmond, WA, United States |
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MR Fingerprinting is able to quantify multiple tissue properties simultaneously. Here we propose an advanced MR Fingerprinting optimization framework that computes and minimizes the quantitative random errors, undersampling errors and background phase errors in MRF maps simultaneously in the cost function. The optimization is solved by quantum-inspired algorithms. The proposed framework could provide accelerated MRF scans that are robust to undersampling and system imperfections, and outperform the human-designed sequence on the tradeoff between duration and precision. |
| 0170
|
18:00
|
Accelerating Submillimeter 3D MR Fingerprinting with Whole-Brain Coverage via Dual-Domain Deep Learning Reconstruction |
| Feng Cheng1, Yong Chen2, and Pew-Thian Yap3 | ||
1Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States, 2Case Western Reserve University, Cleveland, OH, United States, 3Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, United States |
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We accelerate submillimeter 3D MRF using a dual-domain deep learning reconstruction approach that utilizes a graph convolutional network for k-space and a U-Net for image space acceleration. Our preliminary results show that a total of 16x acceleration can be achieved, reducing the acquisition time for whole-brain-coverage at 0.8 mm isotropic resolution to less than 5 mins. |
| 0171
|
18:00
|
Simultaneous comprehensive T1, T2, T2*, T1ρ and Fat Fraction characterization with Magnetic Resonance Fingerprinting |
| Carlos Velasco1, Gastao Cruz1, René M. Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Quantitative T1, T2, T2* and fat fraction maps are promising imaging biomarkers for the assessment and follow-up of liver disease, while T1⍴ mapping has been reported to be a valuable tool for contrast-free assessment of liver fibrosis. However, these multiple scans are usually performed sequentially during separate breath-holds, leading to long scan times and potentially mis-registered maps. In this study we propose an 8-echo T1, T2 and T1⍴ prepared liver MRF sequence that allows for quantitative T1, T2, T2*, T1⍴ and FF liver tissue characterization in a single breath-hold scan. The proposed approach has been investigated in healthy subjects. |
| 0172 | 18:00
|
Towards optimizing MR vascular fingerprinting |
| Aurélien Delphin1, Fabien Boux1,2, Clément Brossard1, Jan M Warnking1, Benjamin Lemasson1, Emmanuel Luc Barbier1, and Thomas Christen1 | ||
1Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, 38000, Grenoble, France, 2Univ. Grenoble Alpes, Inria, CNRS, G-INP, 38000, Grenoble, France |
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MR vascular fingerprinting aims at mapping cerebral vascular properties. We propose to improve the method on two levels: (1) by testing new acquisitions patterns using a Monte-Carlo based method that assesses the encoding capacity of MRF sequences; and (2) by testing new geometrical models that represent vascular networks during dictionary simulations. We obtained results suggesting that new MRF-type sequences can be tailored for vascular exploration and should be tested in vivo. We also showed the clear influence of geometry in the simulations and the possibility to include realistic vascular networks. |
| 0173
|
18:00
|
Optimized multi-axis spiral projection MRF with subspace reconstruction for rapid 1-mm isotropic whole-brain MRF in 2 minutes |
| Xiaozhi Cao1,2, Congyu Liao1,2, Siddharth Srinivasan Iyer3,4, Gilad Liberman3, Zijing Dong3,4, Ting Gong5, Zihan Zhou5, Hongjian He5, Jianhui Zhong5,6, and Berkin Bilgic3,7 | ||
1Department of Rdiology, 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, Charlestown, MA, United States, 4Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 5Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, 6Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 7Department of Radiology, Harvard Medical School, Cambridge, MA, United States |
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To improve the quality and speed of 3D MRF, we applied spatiotemporal subspace reconstruction to 3D MRF and further modified its spiral-projection spatiotemporal encoding scheme. When compared to conventional sliding-window iNUFFT reconstruction, the subspace reconstruction provided markedly improved quantitative maps, with lower artifacts and higher SNR. The optimized spiral-projection encoding scheme, which was designed to increase spatiotemporal incoherency, was also validated to be more robust to artifacts, particularly at high accelerations. The proposed method enables high-quality whole-brain T1, T2, and proton density mapping with 1-mm isotropic resolution in 2 minutes and 0.8-mm isotropic resolution in ~4minutes. |
| 0174
|
18:00
|
Fast acquisition of 31-P creatin kinease chemical exchange rate and relaxation rates of γ-ATP and PCr in vivo human brain at 7T using MRS-FP |
| Mark Stephan Widmaier1, Song-I Lim2, and Lijing Xin2 | ||
1Laboratory for Functional and Metabolic Imaging, CIBM, EPFL, Lausanne, Switzerland, 2Animal Imaging and Technology, CIBM, EPFL, Lausanne, Switzerland |
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This study shows preliminary results of the feasibility using MRS-FP to measure the relaxation parameters of γ-ATP and PCr as well as the chemical exchange rate kCK. All results were in good agreement with literature values enabling a fast and robust 31 P multi parameter estimation in vivo human brain at 7T . |
| 0175
|
18:00
|
Coil Design Impacts Image Encoding: Optimized 64-Channel Array Configurations for Diffusion-Weighted Imaging in 3T Cardiac MRI |
| Robin Etzel1,2, Choukri Mekkaoui3, Ekaterina S Ivshina4, Alina Scholz1, Markus W May1, Nicolas Kutscha1, Matthäus Poniatowski1, Chaimaa Chemlali1, Anpreet Ghotra1, Sam-Luca JD Hansen1, Timothy G Reese3, Lawrence L Wald3, Andreas H Mahnken2, and Boris Keil1 | ||
1Institute of Medical Physics and Radiation Protection, Department of Life Science Engineering, TH Mittelhessen University of Applied Sciences, Giessen, Germany, 2Philipps-University of Marburg, Department of Diagnostic and Interventional Radiology, Marburg, Germany, 3Harvard Medical School, Massachusetts General Hospital, Department of Radiology, A.A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 4Princeton University, Princeton, NJ, United States |
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To determine the optimum configuration of a 64-channel array coil for highly accelerated in vivo cardiac diffusion-weighted imaging (DWI), the encoding capability and sensitivity of three 64-channel arrays were designed, constructed, and evaluated. Simultaneous multi-slice (SMS) acceleration enabled enhanced efficiency of the diffusion acquisitions. The array configuration with a non-uniformly distributed loop density showed the most favorable cardiac imaging performance in both SNR and SMS encoding power. Cardiac DWI of a healthy volunteer mirrors the findings from phantom evaluation and testing. Such technically advanced coils are an important component for translation of cardiac DWI to clinical settings. |
| 0176
|
18:00
|
A 128-Channel head coil array for Cortical Imaging at 7 Tesla |
| Bernhard Gruber1,2, Jason P. Stockmann1, Azma Mareyam1, Boris Keil3, Anpreet Ghotra3, David A. Feinberg4, and Lawrence L. Wald1 | ||
1Department of Radiology, A.A. Martinos Center for Biomedical Imaging, 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, 3Department of Life Science Engineering, Institute of Medical Physics and Radiation Protection, Mittelhessen University of Applied Science, Giessen, Germany, 4Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States |
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A 128-channel receive array for cortical brain imaging at 7T was simulated and constructed. The tight-fitting brain-only coil was designed for use with a recently constructed head gradient system (Gmax = 200 mT/m and Smax = 900mT/m/s) for use with either a single channel birdcage Tx or a 24-channel pTx coil. The goal was to maximize cortical SNR and achieve the high acceleration needed for single-shot EPI based fMRI at high sub-millimeter isotropic resolution. |
| 0177 | 18:00
|
A 128-channel receive array for 10.5T human head imaging |
| Russell Luke Lagore1, Steve Jungst1, Jerahmie Radder1, Edward J Auerbach1, Steen Moeller1, Andrea Grant1, Lance DelaBarre1, Matthew Waks1, 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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A 128-channel receive array has been designed and prototyped for human head imaging at 10.5T. The coil employs miniaturized electronics and flexible PCB laminates for loop conductors. Bench measurements and MR experimental results for an 8-channel cluster of loops are presented which show low coil coupling and good stability during echo-planar imaging. Electromagnetic simulations will provide an estimate for the SNR gain that can be expected from this 128-channel receive array over a 64-channel receive array tuned to the same frequency. This simulation estimate will be verified with experimental results which will include intrinsic SNR and g-factor maps. |
| 0178
|
18:00
|
A Quintuple-Tuned RF Coil for Whole Brain Multi-Nuclei Magnetic Resonance Imaging and Spectroscopy at 7T |
| Jiying Dai1,2, Tijl A. van der Velden1, Johannes M. Hoogduin1, Fabian Bartel2, Ettore F Meliadò1,2, Mark van Uden2, Catalina S. Arteaga de Castro2, Evita C. Wiegers1, Martijn Froeling1, Mark Gosselink1, Alexander J. E. Raaijmakers1,3, and Dennis W. J. Klomp1,4 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Tesla Dynamic Coils, Zaltbommel, Netherlands, 3Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 4Tesla Engineering Ltd, West Sussex, United Kingdom |
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Multi-nuclei magnetic resonance imaging and spectroscopy are interesting techniques to study metabolism, treatment efficacy tracking, and early diagnoses of many diseases. However, there are challenges to acquire high-quality MR images or spectra of nuclei other than proton, for example, much lower signal level, as well as the inconvenience of switching RF hardware in between scans, which leads to repositioning of the subject and extra preparation time. To overcome the above issues, we developed a quintuple-tuned RF coil for sensitive whole-brain scans, targeting five nuclei: 1H, 19F, 31P, 23Na and 13C. Bench tests and in-vivo scans have shown promising SNR. |
| 0179 | 18:00
|
A Self-decoupled 64 Channel Receive Array for Human Brain MRI at 10.5T |
| Nader Tavaf1, Steve Jungst1, Russell L. Lagore1, Jerahmie Radder1, Steen Moeller1, Andrea Grant1, Edward Auerbach1, Kamil Ugurbil1, Gregor Adriany1, and Pierre-Francois Van de Moortele1 | ||
1Center for Magnetic Resonance Research (CMRR), University of Minnesota Twin Cities, Minneapolis, MN, United States |
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Receive arrays play a major role in capturing the signal-to-noise ratio (SNR) and parallel imaging performance improvements at ultrahigh-field MRI. A novel self-decoupled 64-channel receive array was built for human brain imaging and compared to a 32-channel receive array at 10.5T/447MHz. Experiments demonstrated a maximum noise correlation of 0.31 in the 64-channel receiver. Experimental SNR comparisons showed 1.95 times more SNR averaged over the sample relative to the 32-channel array at 10.5T. The 10.5T 32 channel receiver was previously shown to have 1.81 times more average SNR gain over the industry standard 32 channel array at 7T. |
| 0180 | 18:00
|
Development of Two Antisymmetric 16-Element Transceiver Coil Arrays for Parallel Transmit Cardiac MRI in Humans at 7T |
| Ibrahim A. Elabyad1, Maxim Terekhov1, and Laura M. Schreiber1 | ||
1Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany |
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Two antisymmetric, 16-elements, transceiver RF-coil arrays were developed for improved $$${B_1^+}$$$-shimming and parallel imaging for cardiac-MRI in humans at 7T. The first array (Design1) comprised of an 8-loops for both anterior and posterior sections. The second array (Design2) was composed of 12-loops for the anterior section and 4-loops for the posterior section. Electromagnetic-field (EMF) simulations were carried out for both arrays loaded with an elliptical phantom and two human models (Duke and Ella). Static-phase $$${B_1^+}$$$-shimming has been carried out for both arrays with two different optimization cost functions to maximize the transmit-efficiency and weighted combination of $$${B_1^+}$$$-field homogeneity and transmit-efficiency. |
| 0181
|
18:00
|
A Patient-Friendly 16ch Tx / 64ch Rx Array for Combined Head and Neck Imaging at 7 Tesla |
| Markus W. May1, Sam-Luca J.D. Hansen1, Nicolas Kutscha1, Gurinder Kaur Multani1, Mirsad Mahmutovic1, Matthäus Poniatowski1, Rene Gumbrecht2, Ralph Kimmlingen2, Markus Adriany2, Yulin Chang3, Bastien Guerin4, Christina Triantafyllou2, Lawrence L. Wald4, and Boris Keil1 | ||
1Institute of Medical Physics and Radiation Protection (IMPS), TH Mittelhessen University of Applied Sciences, Giessen, Germany, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 4A.A. Martinos Center for Biomedical Imaging, Dept of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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A 16chTx / 64chRx head-neck array coil was designed, constructed, and validated at 7T ultra-high field (UHF) MRI. The clinical benefits of UHF neuroimaging were increased by extending coil coverage from the brain region to include the cervical spine. To increase patient compliance, the commonly employed separated transmit and receive coil array functionalities at UFH were combined into one anatomically shaped close-fitting housing which is fully splitable for patient access. |
| 0182 | 18:00
|
A 16-channel transmit 96-channel receive head coil for NexGen 7T scanner |
| Shajan Gunamony1,2, Roland Müller3, Paul McElhinney1, Sydney Nicole Williams1, Nicolas Groß-Weege3,4, Nikolaus Weiskopf3,5, Harald E Möller3, and David Feinberg6 | ||
1Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, 2MR CoilTech Limited, Glasgow, United Kingdom, 3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Faculty of Physics and Earth Sciences, Felix Bloch Institute for Solid State Physics, Leipzig, Germany, 6Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States |
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The NexGen 7T scanner has been designed to reach an unprecedented microscale resolution in fMRI studies of the cerebral cortex. A radiofrequency coil setup with a high density receive array is essential to capture the promised benefits. The coil design, which is already constrained by the limited space on the patient table inside the head gradient, must be robust, allow routine scanning and offer a visual field to support fMRI studies. We have developed a compact 16-channel transmit 96-channel receive head coil for the NexGen 7T scanner. In this abstract, we present the coil development and preliminary phantom results. |
| 0183
|
18:00
|
Whole-body Metamaterial Liner RF Coil for 1H at 4.7 T with Reduced SAR Compared to Birdcage Coil |
| Adam Maunder1, Ashwin Iyer2, and Nicola De Zanche1 | ||
1Oncology, Medical Physics, Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada, 2Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada |
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The maximum local specific absorption rate relative to B1+ field produced increases with B0 field strength. This relationship greatly constrains the parameter space in sequence optimization due to safety limits. The metamaterial liner simulated here produces lower SAR for the same transmit excitation compared to conventional birdcage coils for whole body imaging, thereby permitting more power-intensive scan parameters to be used. The transmit efficiency and homogeneity is found to be similar between the metamaterial liner and comparable birdcage coil, while the metamaterial liner produces only 41% of the 10g localized SAR for the same transmit field. |
| 0184
|
18:00
|
Novel Setup for 31P MRSI of the Human Tongue In Vivo at 7T |
| Ria Forner1, Kyung Min Nam1, Tijl van der Velden1, and Dennis Klomp1 | ||
1UMC Utrecht, Utrecht, Netherlands |
||
Here we present the very first 31P MRS data in the human tongue at 7T. Three different receive coils were designed and evaluated to compare their performance: two each inside the mouth: a loop and also a saddle coil and a 3-channel loop array positioned externally. The transmit setup consists of an integrated 31P body birdcage coil for 31P transmit and an array of 8 1H dipoles for image registration. The loop coil seems to outperform the other two coils albeit that signals may originate from jaw. For voxels inside the tongue, relatively high phosphomonoesters were observed in all volunteers. |
| 0185 | 18:00
|
Assessing the Prognosis of Acute Deep Vein Thrombosis Using Magnetic Resonance Black-blood Thrombus Imaging |
| Guoxi Xie1, Hanwei Chen2, Chen Huang3, Xueping He2, Yueyuan Xie4, Xiaoyong Zhang5, Tianjing Zhang6, Yi Sun5, Debiao Li7, and Zhaoyang Fan8 | ||
1Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 2Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China, 3Department of Minimally Invasive Interventional Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China, 4Department of Anesthesiology, Mindong Hospital, Ningde, China, 5MR Collaborations, Siemens Healthcare Ltd, Shenzhen, China, 6Philips Healthcare, Guangzhou, China, 7Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 8Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Patients with acute deep vein thrombosis (DVT) can be characterized as iso- or hyper-intense thrombus signals using a T1-weighted black-blood magnetic resonance imaging (BTI) technique. Patients with hyper-intense thrombus signals demonstrated a significant higher incidence of post-thrombotic syndrome (PTS) than those with iso-intense thrombus signals, regardless of the patient’s age, gender, the severity of DVT, and the treatment strategy of catheter-directed thrombolysis or conventional anticoagulant therapy. The results suggest that the thrombus signal characteristics obtained on BTI imaging are valuable for assessing the prognosis of acute DVT and may aid in guiding the clinical treatment plan. |
| 0186 | 18:00
|
Ferumoxytol-enhanced Pulmonary MRA in Pregnancy: Evaluation of Initial Safety and Image Quality |
| Jitka Starekova1, Scott K Nagle1, Mark L Schiebler1, Scott B Reeder1,2,3,4,5, and Venkata N Meduri1 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medicine, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
||
Ferumoxytol (Feraheme®, AMAG Pharmaceuticals, Waltham) is an injectable iron micro particle-solution approved by the FDA for treatment of iron-deficiency anemia. This medication also has favorable properties as intravascular blood pool agent (off-label) for contrast-enhanced MRA (Fe-MRA). Fe-MRA is an alternative modality for the assessment of pulmonary embolism without the need for ionizing radiation or gadolinium in pregnant patients. The purpose of this study was to summarize our clinical experience with 70 Fe-MRA exams in 66 pregnant patients. We aimed to demonstrate the safety and efficacy of Fe-MRA and provide guidance in establishing a clinical service. |
| 0187 | 18:00
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SIMBA 2.0: An enhanced SImilarity-driven Multi-dimensional Binning Algorithm for free-running ferumoxytol-enhanced whole-heart MRI |
| John Heerfordt1,2, Aurélien Bustin2,3,4, Ludovica Romanin1,2, Estelle Tenisch2, Milan Prsa5, Tobias Rutz6, Christopher W. Roy2, Jérôme Yerly2,7, Juerg Schwitter6,8, Matthias Stuber2,7, and Davide Piccini1,2 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France, 4Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Pessac, France, 5Division of Pediatric Cardiology, Department Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6Division of Cardiology, Cardiovascular Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 8Cardiac MR Center, Lausanne University Hospital, Lausanne, Switzerland |
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A SImilarity-driven Multi-dimensional Binning Algorithm (SIMBA) was recently proposed for fast reconstruction of motion-consistent clusters for free-running whole-heart MRA acquisitions. Originally, only the most populated cluster was used for the reconstruction of a motion-suppressed image. In this work we investigated whether the redundancy of information among the clusters can be exploited to improve image quality. Specifically, an adapted XD-GRASP reconstruction and a multidimensional patch-based low-rank denoising algorithm were compared. Four different reconstructions were quantitatively evaluated and compared using ferumoxytol-enhanced free-running datasets from 10 pediatric and adult CHD patients. Information sharing resulted in significantly sharper anatomical features and increased image quality. |
| 0188
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18:00
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Focused navigation (fNAV) for cardiac and respiratory motion-compensated free-running 3D whole-heart coronary MRA |
| Giulia MC Rossi1, Nemanja Masala1, Jessica AM Bastiaansen1, Aurelien Bustin1,2, Jérôme Yerly1,3, John Heerfordt1,4, Davide Piccini1,4, Matthias Stuber1,3, and Christopher W Roy1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2LIRYC (Electrophysiology and Heart Modeling Institute), Bordeaux, France, 3CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 4Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland |
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A novel method for reconstructing motion-compensated 3D CMRA images from free-running data is proposed. We extend the use of a recent method for non-rigid respiratory motion correction called focused navigation (fNAV) to also encompass cardiac motion compensation that accounts for beat-to-beat heart-rate variability. Our combined fNAV approach is compared to the previously established cardiac and respiratory motion-resolved 5D imaging in vivo and is shown to provide overall similar image quality and comparable right coronary artery visualizations to 5D imaging in significantly shorter reconstruction times. |
| 0189 | 18:00
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Preliminary study on free respiratory navigation whole-heart coronary magnetic resonance angiography based on Dixon at 3.0 T |
| Xin Li1, Di Tian1, Qingwei Song1, Ailian Liu1, and Zhiyong Li1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China |
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In comparison with the traditional whole-heart coronary magnetic resonance angiography (WH-CMRA) based on the spectral pre-saturation with inversion recovery (SPIR), the advanced WH-CMRA based on Dixon with non-contrast-enhanced free respiratory navigation is associated with advantages of improved image quality, increased blood signal-to-noise ratio, and the extra fat image. This study proved that it is feasible to visualize the coronary artery (image quality scores met the requirement of clinical diagnosis) using the Dixon based WH-CMRA without increasing scan time. |
| 0190 | 18:00
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Gadolinium-free Multi-contrast 3D whole-heart MRI for improved anatomical assessment in patients with Congenital Heart Disease |
| Anastasia Fotaki1,2, Karl Kunze1, Harith Alam2, Yasodhara Emmanuel2, Alessandra Frigiola2, Kuberan Pushparajah1,2, René Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Adult Congenital Heart Disease Department, Guy’s and St Thomas’s Hospital, London, United Kingdom |
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Bright- and black-blood MRI sequences provide complementary information on anatomical assessment for patients with Congenital Heart Disease(CHD).A free-breathing 3D whole-heart sequence (MTC-BOOST) has been recently proposed for simultaneous bright and black-blood high quality depiction of cardiac and vascular structures waiving the need for contrast agent injection. In this study, we clinically validated this sequence in a cohort of 35 patients with CHD against the conventional T2-prep bSSFP sequence. Quantitative and qualitative image quality assessment demonstrates that MTC-BOOST enhances pulmonary venous depiction, mitigates flow-related artefacts and has comparable image quality for intracardiac and vascular structures, promising potential integration into clinical workflow. |
| 0191
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18:00
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MR Multitasking based Multidimensional Assessment of Cardiovascular System (MT-MACS) with Extended Spatial Coverage and Water-Fat Separation |
| Zhehao Hu1,2, Jiayu Xiao1, Xianglun Mao1, Yibin Xie1, Alan Kwan1,3, Xiaoming Bi4, Shlee Song5, Alison Wilcox6, Debiao Li1,2, Anthony Christodoulou1,2, and Zhaoyang Fan1,6,7 | ||
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, 3Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 5Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 7Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Non-invasive imaging of cardiac anatomy plays an important role in diagnosis, risk stratification, and planning of procedures in patients with cardiovascular disease. MR imaging has the potential to provide a comprehensive evaluation of cardiac chambers and thoracic vessels. However, the clinical workflow for the acquisition of conventional cardiac MR imaging is complex and time-consuming. MR MultiTasking based 3D Multi-dimensional Assessment of Cardiovascular System (MT-MACS) technique has recently been demonstrated in thoracic aortic diseases without need for ECG- and navigator-gating. In this work, we further extend the application of MT-MACS to the assessment of the whole heart and great thoracic vessels. |
| 0192 | 18:00
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Quantitative Time-of-Flight (qTOF) and Quiescent Interval Slice-Selective (qQISS) Intracranial MR Angiography |
| Ioannis Koktzoglou1,2, Rong Huang1, Nondas Leloudas1, and Robert R Edelman1,3 | ||
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2University of Chicago Pritzker School of Medicine, Chicago, IL, United States, 3Northwestern University Feinberg School of Medicine, Chicago, IL, United States |
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Time of flight (TOF) and quiescent interval slice selective (QISS) magnetic resonance angiography (MRA) provide accurate anatomic evaluation blood vessels but do not readily quantify blood velocity or flow. Addressing this deficiency, we report two multi-echo stack-of-stars variants of TOF and QISS MRA (which we refer to as “quantitative TOF” (qTOF) and “quantitative QISS” (qQISS) MRA) that provide for simultaneous high-resolution anatomic and hemodynamic evaluation of the intracranial arteries. |
| 0193
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18:00
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The Heterogeneity of Intramural Hematoma is Associated with Acute Ischemic Stroke in Patients with Proven Cervical Artery Dissection |
| Yuehong Liu1, Fang Wu2, Xiuqin Jia3, Haibin Li4, Xunming Ji5, and Qi Yang1 | ||
1Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, 3Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 4Epidemiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 5Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China |
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This study investigates the relation between the heterogeneity of intramural hematoma (IMH) on three-dimensional vessel wall MRI (3D-VWMRI) images and acute ischemic stroke in patients with proven cervical artery dissection (CAD). We found the high heterogenous IMH on 3D-VWMRI was associated with acute ischemic stroke in proven and non-occluded CAD. The heterogeneous signal of an IMH on 3D-VWMRI may indicate the asynchronous progress of CAD, possibly leading to thrombosis or hemodynamic instability, therefore results in ischemic stroke. The current finding may hold promise to better elucidate the pathophysiological mechanisms and occurrence risk of ischemic stroke for patients with CAD. |
| 0194 | 18:00
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3D Multi-Contrast Blood Imaging with a Single Acquisition: Simultaneous Non-Contrast-Enhanced MRA and Vessel Wall imaging |
| Yoshihiko Tachikawa1, Hiroshi Hamano2, Hikaru Yoshikai1, Kento Ikeda1, Yasunori Maki1, Yukihiko Takahashi1, and Kunishige Matake1 | ||
1Karatsu Red Cross Hospital, Saga, Japan, 2Philips Japan, Tokyo, Japan |
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Assessment of vessel lumen and wall and plaques lesions is important in management of patients with atherosclerosis. Conventional MR imaging typically requires long scan times to acquire MRA and vessel wall imaging (VWI), respectively. In this work, we present a new multi-contrast blood imaging method named BRIDGE (bright and dark blood images with multi-shot gradient-echo-planar imaging), which simultaneously acquires MRA and VWI in a single acquisition. Initial results with volunteers and patients showed that comparable image quality to conventional methods could be acquired in a short time, allowed simultaneous assessment of luminal changes and vulnerable plaques in a single acquisition. |
| 0195 | 18:00
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Three-Compartment IVIM Model Applied to Psychotic Spectrum Disorders |
| Faye McKenna1, Yu Veronica Sui1, Hillary Bertisch1, Donald Goff1, and Mariana Lazar1 | ||
1New York University School of Medicine, New York, NY, United States |
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We applied a three compartment intravoxel incoherent motion (IVIM) technique that estimated the perfusion fraction (PF), free water (FW), and anisotropic diffusion of tissue (FAt) to detect microvascular and microstructural changes in a cohort of 54 psychotic spectrum disorder (PSD) patients compared to 35 healthy controls (HC). We found significantly increased PF, FW and FAt in PSD and PSD subtypes compared to HC, primarily in the frontal and temporal lobes and cingulate and insular cortices at multiple comparisons correction level. In patients, IVIM metrics were found to be associated with the duration of psychosis and performance on several cognitive tests. |
| 0196 | 18:00
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VAE deep learning model with domain adaptation and harmonization for diagnostic classification from multi-site neuroimaging data |
| Bonian Lu1, Rangaprakash Deshpande2, Madhura Ingalhalikar3, and Gopikrishna Deshpande1 | ||
1Electrical and Computer Engineering, AU MRI Research Center, Auburn University, Auburn, AL, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Medical School and Harvard-MIT Health Sciences and Technology, Charlestown, MA, United States, 3Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India |
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In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods and pre-processing approaches vary across sites and datasets, leading to poor diagnostic classification. Domain adaptation aims to improve the classification performance in target domain data by utilizing the knowledge learned from the source domain, and making the distributions of data in source and target domains as similar as possible. In this sense, domain adaptation is one method that can be used to achieve and optimize transfer learning by using different datasets. |
| 0197 | 18:00
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Data-driven clustering differentiates subtypes of major depressive disorder with distinct connectivity-symptom association |
| Yanlin Wang1, Shi Tang1, Xinyu Hu1, Yongbo Hu1, Weihong Kuang2, Zhiyun Jia1, Xiaoqi Huang1, and Qiyong Gong1 | ||
1Department of Radiology, West China Hospital, Sichuan University, Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Chengdu, China, 2Department of Psychiatry, Sichuan University West China Hospital, Chengdu, China |
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Major depressive disorder (MDD) is a clinically heterogeneous syndrome and commonly co-occur alongside symptoms of other psychiatric domains. It is challenging to identify the correspondence between these clinical heterogeneous and relevant neurobiological substrates and define neurophysiological subtypes of MDD. We used regularized canonical correlation analysis (rCCA) to assess a two-dimensional mapping between the intrinsic connectivity networks (ICNs) and clinical symptoms and thus aid in defined MDD subtypes. We then compared potential symptom severity and neural features alterations between these subtypes and further assess the association between these features. |
| 0198 | 18:00
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Glutamatergic responses to a color-word Stroop task in first-episode schizophrenia: A 7-Tesla functional MRS study |
| Peter Jeon1, Michael MacKinley2, Kara Dempster3, Dickson Wong4, Lena Palaniyappan1,2,5,6, and Jean Theberge1,5,7 | ||
1Medical Biophysics, Western University, London, ON, Canada, 2Neuroscience, Western University, London, ON, Canada, 3Psychiatry, Dalhousie University, Halifax, NS, Canada, 4Schulich School of Medicine and Dentistry, Western University, London, ON, Canada, 5Psychiatry, Western University, London, ON, Canada, 6Robarts Research Institute, London, ON, Canada, 7Lawson Health Research Institute, London, ON, Canada |
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Dynamic behaviour of neurometabolites require tools that are able to capture such temporal information. Functional MRS can track metabolite level changes in response to external stimuli, providing valuable observations for illnesses such as schizophrenia. This study employed a 7-Tesla fMRS technique to study the anterior cingulate cortex glutamate, glutamine, and glutathione dynamic behaviours in 38 first-episode schizophrenia and 27 healthy controls. In response to a color-word Stroop task, significant differences were observed in resting and dynamic glutathione levels, supporting abnormal neurometabolite behaviour or circuitry in the early stages of schizophrenia. |
| 0199 | 18:00
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Positive emotional training with real-time functional MRI amygdala neurofeedback increased hippocampal volume for PTSD |
| Masaya Misaki1, Beni Mulyana1,2, Vadim Zotev1, Brent E Wurfel3, Frank Krueger4, Matthew Feldner5, and Jerzy Bodurka1,6 | ||
1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, United States, 3Laureate Psychiatric Clinic and Hospital, Tulsa, OK, United States, 4Neuroscience Department, George Mason University, Fairfax, VA, United States, 5Department of Psychological Science, University of Arkansas, Fayetteville, AR, United States, 6Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States |
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While small hippocampal volume is a prevalent neurostructural abnormality in posttraumatic stress disorder (PTSD), whether hippocampal atrophy is a reversible alteration or a permanent trait is unclear. This study examined a volume change among hippocampal subfields due to positive emotion training with left amygdala (LA) fMRI neurofeedback (LA-NF) in PTSD participants. A significant volume increase was seen in the left CA1-head region after the training. This indicates that the small hippocampus in PTSD is a reversible alteration in a part of the subfields and that positive emotion training with LA-NF could induce a hippocampal volume recovery. |
| 0200 | 18:00
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Reductions of fibre-specific white matter metrics in autism are determined by the level of intellectual functioning: a fixel-based analysis |
| Chun-Hung Yeh1,2, Rung-Yu Tseng1, Susan Shur-Fen Gau3, and Hsiang-Yuan Lin4 | ||
1Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan, 2Department of Child and Adolescent Psychiatry, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan, 3Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan, 4Azrieli Adult Neurodevelopmental Centre and Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada |
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Based on the multi-band multi-shell diffusion MRI data acquisition and fixel-based analysis, the purpose of our study is to provide more insights into neurobiological accounts of autism, inclusive of understudied low functioning individuals. Preprocessed DWI data of 38 TD and 65 autistic participants were analysed. We found reduced fibre density in the splenium of the corpus callosum in autisitic individuals. This autism-associated alteration appears to be mainly driven by those autistic individuals with developmental disabilities. Our findings suggest studies inclusive of autistic people comorbid with developmental disabilities using the novel models may bridge some heterogeneity noted in the literature. |
| 0201 | 18:00
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Cerebral hemodynamic alterations associated with an in-scanner drug trial in adults with bipolar depression |
| William S.H. Kim1,2, Mikaela K. Dimick3,4, Danielle Omrin4, Beverley A. Orser4,5, Benjamin I. Goldstein4,6, and Bradley J. MacIntosh1,2 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada, 4Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada, 6Department of Psychiatry, University of Toronto, Toronto, ON, Canada |
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Multiple post-label delay (multi-PLD) arterial spin labeling (ASL) magnetic resonance imaging is one approach to monitor cerebral hemodynamic drug responses. In addition to cerebral blood flow (CBF), it is possible to map arterial transit time (ATT) and arterial cerebral blood volume (aCBV). Here, we investigate multi-PLD ASL-derived CBF, ATT, and aCBV responses to a single treatment of either: 1) nitrous oxide or 2) midazolam among adults with treatment-resistant bipolar depression. Between baseline and post-treatment timepoints, we report treatment effects on CBF change in the temporal lobe and on ATT change in the frontal and parietal lobes. |
| 0202 | 18:00
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Disparate Cognitive Patterns Captured by Subcortical Profiles in Schizophrenia |
| Qiannan Zhao1, Hengyi Cao1,2,3, Yuan Xiao1, Qiyong Gong1, and Su Lui1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, United States, 3Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, United States |
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Subcortical morphological abnormalities are associated with cognitive impairment in schizophrenia. We hypothesized that patients with different degree of cognitive impairment might be separated by subcortical morphological abnormalities. Here we identified two distinct clusters in patients with schizophrenia based on their regional subcortical volume. Different degree of regional subcortical volume, global brain volume and cognitive impairment were observed between two clusters of patients, with more severe cognitive impairment in the more severe morphological deficit cluster. These findings indicate critical relationships between subcortical structures and cognition in schizophrenia, and suggest that subcortical morphological abnormalities could help to capture cognitive profiles in schizophrenia. |
| 0203 | 18:00
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Age-dependent effects of methylphenidate on emotional dysregulation: an RCT in stimulant treatment-naïve male ADHD patients |
| Antonia Kaiser1, Marco A. Bottelier1,2, Michelle M. Solleveld1, Hyke G.H. Tamminga1,3, Cheima Bouziane1, Ramon J.L. Lindauer4,5, Paul J. Lucassen6, Michiel B. de Ruiter1,7, Anouk Schrantee1, and Liesbeth Reneman1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands, 2Child Study Center, Accare, Groningen, Netherlands, 3Dutch Autism and ADHD research center, University of Amsterdam, Amsterdam, Netherlands, 4Department of Child and Adolescent Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands, 5De Bascule, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, Netherlands, 6Brain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam, Netherlands, 7Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands |
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Emotional dysregulation (ED) is an important outcome moderator of Attention-Deficit/Hyperactivity Disorder (ADHD). We previously found that acute administration of methylphenidate age-dependently modulated neural mechanisms underlying ED, i.e., amygdala reactivity, but effects of chronic methylphenidate administration remain unknown. Following randomization to 16 weeks of methylphenidate or placebo treatment, we here report a lasting improvement in ED, depressive and anxiety symptoms in ADHD children, whereas a transient improvement of ED and depressive symptoms occurred in adults, independent of treatment condition. Although depressive and anxiety symptoms at baseline negatively predicted ADHD symptom change in adults, age-dependent effects on amygdala reactivity were absent. |
| 0204 | 18:00
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Application of graph theory across multiple frequency bands in obsessive-compulsive disorder |
| Xue Li1, Hailong Li2, Lingxiao Cao2, Jing Liu2, Haoyang Xing1, and Xiaoqi Huang2 | ||
1Department of Physics, Sichuan university, chengdu, China, 2Huaxi Magnetic Resonance Research Centre (HMRRC), West China Hospital of Sichuan University, chengdu, China |
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Graph theoretical approaches across multiple frequency bands were adopted to investigate whether there exist specific frequency band-related changes of brain functional connectome in OCD patients. We found significant between-group differences of global metrics only at slow-3 band (.074–0.198 Hz), On local metrics, we observed a frequency-dependent characteristic. The results suggested that multiband measurement indeed provided some new insight about the nature of brain functional connectome changes in OCD, future studies should take the different frequency bands into account when measure brain’s spontaneous activity. |
| 0205 | 18:00
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Characterization of Apparent Exchange Rate in Human Brain White Matter |
| Zhaoqing Li1,2, Yi-Cheng Hsu3, and Ruiliang Bai1,2 | ||
1Interdisciplinary Institute of Neuroscience and Technology (ZIINT), School of Medicine, Zhejiang University, Hangzhou, China, HangZhou, China, 2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, HangZhou, China, 3MR Collaboration, Siemens Healthcare, Shanghai, China, ShangHai, China |
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Filter exchange imaging (FEXI) is a non-invasive method to measure water exchange among diffusion compartments by apparent exchange rate (AXR). However, in human white matter, it is still controversial whether the diffusion-encoding gradient direction will affect AXR measurement. In this study, we performed FEXI on human brain with 20 diffusion gradient directions to explore features of AXR in white matter. We found that AXR measured with diffusion direction perpendicular to fiber (~ 0.47 s-1) is significantly larger than that parallel to fiber (~ 0.15 s-1), suggesting FEXI at different directions might measure exchanges between different biological compartments in white matter. |
| 0206 | 18:00
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Evaluation of White Matter Microstructure in an HIV Population at Risk of Cerebral Small Vessel Disease using Microscopic Fractional Anisotropy |
| Md Nasir Uddin1, Abrar Faiyaz2, and Giovanni Schifitto1,3 | ||
1Department of Neurology, University of Rochester, Rochester, NY, United States, 2Electrical & Computer Engineering, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States |
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White matter microstructural abnormalities are well documented in HIV-infected individuals. DTI derived fractional anisotropy (FA) is frequently used to assess the abnormalities but it has some limitations. In this work, we compared FA and microscopic fractional anisotropy (μFA) in an HIV cohort, and our results indicate that μFA seems to provide better sensitivity than the conventional FA for detecting white matter microstructure changes associated with HIV infection, especially in the areas with crossing fibers. |
| 0207 | 18:00
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Human brain in vivo correlation tensor MRI on a clinical 3T system |
| Lisa Novello1, Rafael Neto Henriques2, Andrada Ianuş2, Thorsten Feiweier3, Noam Shemesh2, and Jorge Jovicich1 | ||
1Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy, 2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Resolving the underlying sources of kurtosis in biological systems is emerging as a promising strategy for non-invasive quantitative characterization of tissue microstructure. Recently, a novel framework termed Correlation Tensor Imaging (CTI), based on double-diffusion-encoding MRI, was shown to disentangle anisotropic, isotropic, and microscopic kurtosis sources in mouse brains. Here, we implemented CTI on a clinical 3T MRI system and scanned normal humans for the first time. The ensuing CTI-driven non-Gaussian inter/intra-compartmental estimates are promising and agree with expectations: positive intra-compartmental kurtosis for gray and white matter, larger for gray than white matter, and around zero for cerebrospinal fluid. |
| 0208 | 18:00
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Feasibility of Filter-exchange Imaging (FEXI) in Measuring Different Exchange Processes in Human Brain |
| Zhaoqing Li1,2, Chaoliang Sun1,2, Yi-Cheng Hsu3, Hui Liang4, Peter Basser5, and Ruiliang Bai1,2 | ||
1Interdisciplinary Institute of Neuroscience and Technology (ZIINT), School of Medicine, Zhejiang University, Hangzhou, China, HangZhou, China, 2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, HangZhou, China, 3MR Collaboration, Siemens Healthcare, Shanghai, China, ShangHai, China, 4Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China, HangZhou, China, 5Section on Quantitative Imaging and Tissue Sciences, NICHD, National Institutes of Health, Bethesda, MD, USA, Bethesda, MD, United States |
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In this study, we aim to explore the feasibility of Filter-exchange imaging (FEXI) in measuring different water exchange processes in human brain by modulating the diffusion filter (bf) and detection (b) blocks. We found the apparent exchange rate (AXR) estimated from a FEXI protocol with bf=250s/mm2 are significantly larger than those with bf=900s/mm2. Besides, the filter efficiency of FEXI with bf=250s/mm2 shows a strong correlation with vascular density estimated as the fraction of water exhibiting intravoxel incoherent motion (IVIM). Collectively, our current results demonstrate that FEXI targeting the vascular water could help characterize the intra-to-extravascular water exchange process. |
| 0209 | 18:00
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Is the inversion time important? A study of the reciprocal influence of inversion time and b-value on diffusion and longitudinal relaxation in MRI |
| Tomasz Pieciak1,2, Maryam Afzali3, Fabian Bogusz1, Dominika Ciupek1, Derek K. Jones3, and Marco Pizzolato4,5 | ||
1AGH University of Science and Technology, Kraków, Poland, 2LPI, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain, Valladolid, Spain, 3Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 4Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, 5Signal Processing Lab (LTS5), École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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The nervous tissue microstructure can be characterized by sensitizing the MRI signal to diffusion. The advent of multi-parametric sequences enabled the collection of diffusion data at different echo and inversion times. While the link between diffusion and transverse relaxation has undergone several investigations, in this work we characterize the relationship between the diffusion and longitudinal relaxation, and quantify the reciprocal influence of b-values and inversion time on the quantification of T1 and of diffusion metrics, interpreting our findings on in vivo data in the light of numerical simulations, and showing evidence that longitudinal relaxation locally modifies the diffusion contrast. |
| 0210
|
18:00
|
Unique insights into visual network development over childhood and adolescence from microstructure informed tractography |
| Simona Schiavi1, Sila Genc2, Maxime Chamberland2, Chantal M.W. Tax2,3, Erika P. Raven4, Alessandro Daducci1, and Derek K Jones2,5 | ||
1Department of Computer Science, University of Verona, Verona, Italy, 2CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 4Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 5Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia |
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We employed the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) approach to construct microstructure-informed connectomes and study the distinct patterns of age-related development in structural whole-brain network and sub-networks using global graph metrics. Whole brain analyses showed that with the new edge-weighting, the shortest-path length between all pairs of nodes decreases with age and thus efficiency increases. This reduction in shortest-path length is probably driven by previously reported age-related increases in the intra-axonal signal fraction. Sub-networks analyses revealed unique visual network characteristics over development and confirmed previously observed maturational pattern of posterior regions across childhood and adolescence. |
| 0211
|
18:00
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Infant cerebrospinal fluid dynamics assessed by low b-value diffusion tensor imaging and association with visible Virchow–Robin spaces |
| Xianjun Li1, Congcong Liu1, Mustafa Salimeen1, Miaomiao Wang1, Mengxuan Li1, Chao Jin1, Xiaocheng Wei1, and Jian Yang1 | ||
1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China |
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Cerebrospinal fluid (CSF) and interstitial fluid exchange via Virchow Robin space (VRS). It is reasonable to infer that VRS may be related to CSF dynamics. To investigate the association between CSF dynamics and VRS on infants, this work assessed CSF dynamics on infants by DTI with b values of 200 and 1000 s/mm2 and segmented VRS on T2WI images. Results suggest that the ratio between diffusivities derived from low and high b-value DTI could provide complementary information for assessing infant cerebrospinal fluid dynamics. There may exist potential association between Virchow–Robin space volume and cerebrospinal fluid dynamics. |
| 0212
|
18:00
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3t++ temporally consistent 3 tissue HARDI decomposition of neonatal brain tissue |
| Maximilian Pietsch1,2, Daan Christiaens2,3, Jana Hutter2,4, Lucilio Cordero-Grande2, Anthony N. Price2,4, Emer Hughes2, A. David Edwards2, Joseph V. Hajnal2,4, Serena J. Counsell2, Jonathan O'Muircheartaigh1,2,5,6, and J-Donald Tournier2,4 | ||
1Forensic & Neurodevelopmental Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK, King's College London, London, United Kingdom, 3Department of Electrical Engineering (ESAT/PSI), KU Leuven, Leuven, Belgium, 4Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Department of Perinatal Imaging & Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom |
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We decompose neonatal HARDI signal into four components that together capture the orientation dependency and temporal dependency of signal in neonatal white and grey matter and CSF. We show that the voxel-wise volume fractions of the associated components exhibit distinct sigmoid-shaped time dependencies between 33 to 44 weeks gestational age and clearly delineate anatomical structures in developing white and grey matter, allowing detailed characterisation of microstructural properties of developing white and grey matter. |
| 0213 | 18:00
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Redefining the architecture of white matter damage in paediatric concussions and their relationship with symptoms |
| Guido I. Guberman1, Sonja Stojanovski2,3, Alain Ptito1, Danilo Bzdok4, Anne Wheeler2,3, and Maxime Descoteaux5 | ||
1Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2Neuroscience and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada, 3Department of Physiology, University of Toronto, Toronto, ON, Canada, 4Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 5Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada |
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Concussion heterogeneity remains a major challenge for clinical and scientific research. Yet, most studies continue to employ group comparison approaches that assume consistent one-to-one relationships between brain structure and symptoms. To parse concussion heterogeneity, we employed a double-multivariate approach using diffusion MRI of children with histories of concussion. Multivariate white-matter structural features captured more information about symptoms than all individual features. Results also revealed how different white-matter abnormalities led to similar symptom profiles. Lastly, multivariate features significantly predicted adverse psychiatric outcomes. These results suggest that concussion heterogeneity arising from complex structure/symptom relationships can be well captured by our double-multivariate approach. |
| 0214
|
18:00
|
Chenonceau: an entire ex vivo human brain 11.7T anatomical and diffusion MRI dataset at the mesoscopic scale |
| Alexandros Popov1, Raïssa Yebga Hot1, Justine Beaujoin1, Ivy Uszynski1, Fawzi Boumezbeur1, Fabrice Poupon1, Christophe Destrieux2, and Cyril Poupon1 | ||
1NeuroSpin (CEA), Paris, France, 2Université de Tours, Tours, France |
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In this study, we present the Chenonceau dataset : a novel 11.7T MRI dataset of the entire human brain, combining an ultra-high resolution anatomical scan at 100μm with diffusion scans at 200μm using strong diffusion sensitizations. To obtain this dataset, a unique acquisition protocol has been established : a fixed ex vivo brain has been cut into blocks compatible in size with a Bruker 11.7T MRI system. The blocks were scanned individually over an extended period of time. The collection of datasets was then registered back to a reference blockface acquired at 3T, thus resulting in a unique high resolution brain dataset. |
18:00
|
When SARS-CoV-2 Attacks (Pathophysiology/Immunology/Vaccine) | |
| Amit Mahajan1 | ||
1Yale School of Medicine, New Haven, CT, United States |
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COVID-19 has created havoc in communities around the world, ever since the start of the pandemic in December 2019. The causative agent, SARS-CoV-2 is a novel Coronavirus, that produces a diversity of manifestations ranging from asymptomatic infections to fatal infections characterized by viral pneumonia, ARDS, systemic inflammation and thromboembolism. The current presentation aims to summarize the pathogenesis and immunology of COVID-19 and its impact on vaccinations and the newly discovered viral variants. |
18:30
|
Brain MR & SARS-CoV-2: Imaging Findings, Complications & Outcomes | |
| Simonetta Gerevini1 | ||
1ASST Papa Giovanni XXIII, Bergamo, Italy |
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A relevant number of COVID-19 patients may present with neurological symptoms in the acute/subacute phase of the disease. Neuroimaging can reveal a wide spectrum of CNS abnormalities, from ischemic lesions to microhemorrhages as well as meningoencephalitis and extensive white matters lesions. Advanced imaging techniques (DWI, DTI, f-MRI) may reveal underlining “inflammation of the brain” in case of persistent neurological symptoms and an unremarkable MRI examination.Long term neurological and neuropsychological sequelae are reported up to 30–40% in COVID-19 survivors, includingfatigue, myalgia, headache, dysautonomia and cognitive impairment (“brain fog”). A complete understanding of these manifestations is mandatory. |
19:00
|
SARS-CoV-2 in the Lungs & the Role of MRI | |
| Bhavin Jankharia1 | ||
1Jankharia Imaging, Mumbai, India |
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Imaging has an important role to play in the diagnosis, management and follow-up of patients with Covid-19. CT scan is an important modality. There are typical findings that allow a diagnosis of Covid-19 with high specificity. There are some unique signs due to the presence of angiopathy such as vascular "tree-in-bud" and target sign and perfusion defects without thrombosis. Follow-up of patients in the medium term usually shows regression of lesions. Some show persistent perfusion defects. MRI may show Covid-19 findings but cannot used routinely. Hyperpolarized Xe and O2 enhanced UTE MRI are being explored as options for follow-up. |
19:30
|
Emerging MRI Data & Controversies of Cardiac Complications Related to SARS-CoV-2 | |
| Yuchi Han1 | ||
1University of Pennsylvania, Philadelphia, PA, United States |
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There is increasing data describing abnormalities present on patients who have had CMR post SARS-CoV2 infection, especially in patients with troponin elevation and/or cardiac symptoms. These findings include infarct and myocarditis pattern late gadolinium enhancement, elevated T1, T2, and extracellular fraction levels. Controversy exists regarding whether or not these findings can be attributed to SARS-CoV2. Thus, we began by describing the definitions of myocarditis, the updated Lake Louise criteria for CMR for myocardial inflammation, and autopsy evidence of myocarditis associated with SARS-CoV2, and then go into the findings in the current literature. |
| 0215 | 18:00
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Evaluation for Myocarditis in Competitive Athletes Recovering from COVID-19 using Cardiac MRI |
| Jitka Starekova1, David A Bluemke1,2, William S Bradham1,2, Lee L Eckhardt2, Thomas M Grist1,3,4, Joanna E Kusmirek1, Christopher S Purtell2, Mark L Schiebler1, and Scott B Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medicine, University of Wisconsin-Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Recent reports of COVID-19-associated myocarditis have raised safety concerns for athletes returning to training after recovering from COVID-19. As a result, our institution initiated a comprehensive screening program for all student athletes recovering from COVID-19, to screen for myocarditis using non-invasive diagnostic tests, including cardiac MRI. In this retrospective study we describe our institutional experience, including the prevalence and severity of MRI findings of myocarditis in student athletes recovering from COVID-19. Patients had mild (73/149;49%) or moderate symptoms (40/149;27%), or were asymptomatic (26/149;17%). Only 2/149 patients had MRI findings consistent with updated Lake Louise criteria for myocarditis (1.3%, 95%CI 0.4%,4.8%). |
| 0216 | 18:00
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Ex vivo quantitative MR characterization of brain lesions induced by SARS-COV-2 infection |
| Mathieu David Santin1,2, Isabelle Plu3, Lydia Chougar1,2,3, Nadya Pyatigorskaya1,2,3, Roberto Toro4, Stéphane Lehéricy1,2,3, and Danielle Seilhean2,3 | ||
1Center for NeuroImaging Research - CENIR, Paris Brain Institute - ICM, Paris, France, 2ICM, Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMR 7225, Paris, France, 3Hôpital Pitié-Salpêtrière, AP-HP, Paris, France, 4Institut Pasteur, Paris, France |
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Our study aims to link ex vivo brain MRI signal abnormalities with neuropathological findings relative to the SARS-CoV-2 infection. MRI offers a “big picture” image on the whole organ compared to histology alone, which can be limited to blindly sampled small sections, when recent imagery is not available. The objective is to characterize the brain lesions linked to the viral infection. Our project should produce a new description of the anatomical structures affected by the infection in the central nervous system, and in particular those related to the brain vascular system. |
| 0217
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18:00
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Examining cerebral blood flow in adults with COVID-19 |
| William S.H. Kim1,2, Xiang Ji2, J. Jean Chen1,3, Asaf Gilboa3, Eugenie Roudaia3, Allison Sekuler3, Aravinthan Jegatheesan4, Mario Masellis2, Benjamin Lam2, Robert Fowler5, Chris Heyn2, Sandra E. Black2, Simon J. Graham1,4, and Bradley J. MacIntosh1,2 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada, 3Rotman Research Institute, Toronto, ON, Canada, 4Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 5Evaluative Clinical Sciences, Trauma, Emergency & Critical Care, Sunnybrook Research Institute, Toronto, ON, Canada |
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The relationship between coronavirus disease 2019 (COVID-19) and cerebral blood flow (CBF) is not well understood. Here, we report on CBF measured by pseudo-continuous arterial spin labeling among adults that weeks prior had experienced flu-like symptoms with either a positive or negative COVID-19 diagnosis. Recruitment is ongoing, but at present we report no group differences in CBF across brain grey matter. However, subsequent regional analyses point to possible CBF abnormalities in those with a positive COVID-19 diagnosis. |
| 0218
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18:00
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Characterization of brain susceptibility changes in post-hospitalisation COVID-19 patients at 7 Tesla |
| Catarina Rua1,2, Christopher T Rodgers2,3, Virginia F J Newcombe2,4, Anne Manktelow4, Doris A Chatfield4, Stephen J Sawcer3, Joanne G Outtrim4, Victoria C Lupson2, Emmanuel A Stamatakis2,3,4, Guy B Williams2,3, William T Clarke5, Karen D Ersche6,7, Kyle Pattinson5, Edward T Bullmore6,7, David K Menon2,4,8, and James B Rowe1,9 | ||
1Department of Clinical Neurosciences and University of Cambridge Centre for Parkinson-plus, University of Cambridge, Cambridge, United Kingdom, 2Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 3Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 4Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom, 5Welcome Centre for Integrative Neuroimaging (FMRIB), University of Oxford, Oxford, United Kingdom, 6Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 7Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom, 8on behalf of the Cambridge NeuroCOVID group (www.wbic.cam.ac.uk/neuro-covid/) and the CITIID-NIHR COVID-19 BioResource Collaboration, Cambridge, United Kingdom, 9Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom |
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Patients hospitalized with the new coronavirus disease (COVID-19) have shown severe changes in the central nervous system (CNS), particularly microhaemorrhages and encephalitis. However, long-term effects on the CNS haven not yet been fully characterised. In this study we scanned a group of 14 recently hospitalized COVID-19 patients at ultra-high field (7T) and analysed the microstructural changes measured by quantitative susceptibility mapping (QSM) from both subcortical nuclei and brainstem, which are thought to be targeted by the virus. |
| 0219 | 18:00
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Low-Field Non-Contrast Cardiopulmonary MRI for Morphologic and Functional Assessment in Post-Covid Patients |
| Lea Azour1, William H Moore1, Larry Latson1, Mary Bruno1, Mahesh Bharath Keerthivasan2, Rany Condos3, Derek Mason1, Anna Shmukler1, Terlika Sood1, Adrienne Campbell-Washburn4, and Hersh Chandarana1 | ||
1Radiology, NYU Langone Health, New York, NY, United States, 2Siemens Medical Solutions, New York, NY, United States, 3Pulmonary Medicine, NYU Langone Health, New York, NY, United States, 4National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Low-field (.55T) non-contrast MRI was performed in 15 post-Covid patients for combined cardiac and pulmonary evaluation, allowing for derivation of cardiac function in terms of left ventricular ejection fraction, as well as assessment for presence of persisting pulmonary parenchymal abnormalities. As the number of post-Covid patients increases, a radiation and contrast-free mode of cardiopulmonary imaging is of increasing relevance; low-field MRI in particular is a promising tool for high-performance lung imaging. |
| 0220 | 18:00
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Assessing pulmonary findings of COVID-19 with ultrashort TE magnetic resonance imaging |
| Shuyi Yang1, Yunfei Zhang2, Fei Shan1, and Yongming Dai2 | ||
1Shanghai Public Health Clinical Center, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Chest computed tomography (CT) has played significant role in assessing the pulmonary findings of COVID-19. However, MRI, a radiation-free imaging technique has hardly been applied for assessing the pulmonary abnormalities of patients with COVID-19. Ultra shot echo time MRI (UTE-MR) is broadly regarded as a valuable tool for pulmonary imaging. This research, hence, aims to evaluate the COVID-19 with UTE-MR. The results indicated that there was no significant difference of image quality between the UTE-MR and CT for identifying the representative abnormalities. Besides, the intermethod agreement of UTE-MR and CT for assessing the pulmonary abnormalities were all determined excellent. |
18:00
|
How to Analyse Your Physiological MRI Data: Cerebral Oxygenation | |
| Nicholas Blockley | ||
| University of Nottingham | ||
18:00
|
Multicentre Resting-State fMRI Analysis: Towards Recommendation for Optimized Image Acquisition & Analysis | |
| Francesca Mandino | ||
| The University of Manchester | ||
18:30
|
Resting-State Cerebral Networks Across Species: An Evolutionary Perspective | |
| Clément Garin | ||
| Wake Forest School of Medicine | ||
19:00
|
Impairments of Cerebral Networks in Animal Models of Psychiatry | |
| Laura Harsan | ||
| University of Strasbourg | ||
19:30
|
A Novel Oscillatory Activity of the Thalamic Reticular Nucleus & Its Relation to Resting-State Networks of the Brain | |
| Norio Takata | ||
| Keio University School of Medicine | ||
20:00
|
Multimodal Approach to Image Cortical Calcium Activity Concurrently with fMRI: New Tools to Understand the Impact of Neuronal Activity on Resting-State Organization | |
| Evelyn Lake | ||
| Yale School of Medicine | ||
| 20:00 | ISMRM Awards |
| 20:30 | CEST: Overcoming the Challenges |
| Elena Vinogradov1 | |
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States |
| 20:45 | CEST Imaging: Clinical Applications |
| Daniel Paech1 | |
1German Cancer Research Center (DKFZ), Heidelberg, Germany |
| 21:00 | NextCEST: Leveraging Fingerprinting/ML for Accelerated CEST |
| HyunWook Park1 | |
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
| 21:15 | Making CEST a Quantitative & Standardized Methodology |
| Mark D. Pagel1 | |
1MD Anderson Cancer Center, Houston, TX, United States |
9:00
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How to Analyse Your Physiological MRI Data: Dynamic Susceptibility Contrast (DSC) MRI | |
| Amit Mehndiratta | ||
| Indian Institute of Technology Delhi | ||
| 0221
|
12:00
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On Instabilities of Conventional Multi-Coil MRI Reconstruction To Small Adversarial Perturbations |
| Chi Zhang1,2, Jinghan Jia3, Burhaneddin Yaman1,2, Steen Moeller2, Sijia Liu4, Mingyi Hong1, 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, 3University of Florida, Gainesville, FL, United States, 4MIT-IBM Watson AI Lab, IBM Research, Cambridge, MA, United States |
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Although deep learning (DL) has received much attention in accelerated MRI, recent studies suggest small perturbations may lead to instabilities in DL-based reconstructions, leading to concern for their clinical application. However, these works focus on single-coil acquisitions, which is not practical. We investigate instabilities caused by small adversarial attacks for multi-coil acquisitions. Our results suggest that, parallel imaging and multi-coil CS exhibit considerable instabilities against small adversarial perturbations. |
| 0222
|
12:00
|
Subtle Inverse Crimes: Naively using Publicly Available Images Could Make Reconstruction Results Seem Misleadingly Better! |
| Efrat Shimron1, Jonathan Tamir2, Ke Wang1, and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States, 2Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, United States |
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This work reveals how naively using publicly available data for training and evaluating reconstruction algorithms may lead to artificially improved algorithm performance. We observed such practice in the “wild” and aim to bring this to the attention of the community. The underlying cause is common data preprocessing pipelines which are often ignored: k-space zero-padding in clinical scanners and JPEG compression in database storage. We show that retrospective subsampling of such preprocessed data leads to overly-optimistic reconstructions. We demonstrate this phenomenon for Compressed-Sensing, Dictionary-Learning and Deep Neural Networks. This work hence highlights the importance of careful task-adequate usage of public databases. |
| 0223
|
12:00
|
Motion-resolved B1+ prediction using deep learning for real-time pTx pulse-design. |
| Alix Plumley1, Luke Watkins1, Kevin Murphy1, and Emre Kopanoglu1 | ||
1Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom |
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Motion in parallel-transmit (pTx) causes flip-angle error due to dependence of channels' B1-sensitivities on head position. Real-time pTx pulse-design could mitigate motion-induced flip-angle error, but requires real-time, motion-resolved B1+ distributions (not measurable). A deep learning method is presented to estimate motion-resolved B1+ maps via a system of conditional generative adversarial networks. Using simulations, we demonstrate that estimated maps can be used to design tailored pTx pulses which yield similar flip-angle profiles to those without motion, reducing maximum observed flip-angle error from 79% to 25%. Importantly, networks can be run sequentially to accurately predict B1+ for arbitrary displacements incorporating multiple directions. |
| 0224
|
12:00
|
Robust Multi-shot EPI with Untrained Artificial Neural Networks: Unsupervised Scan-specific Deep Learning for Blip Up-Down Acquisition (BUDA) |
| Tae Hyung Kim1,2,3, Zijing Zhang1,2,4, Jaejin Cho1,2, Borjan Gagoski2,5, Justin Haldar3, and Berkin Bilgic1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 4State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China, 5Boston Children's Hospital, Boston, MA, United States |
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Blip Up-Down Acquisition (BUDA) has been successful in generating distortion-free multi-shot EPI (msEPI) without navigators, utilizing a fieldmap and structured low-rank constraints. Recently, a scan-specific artificial neural network (ANN) motivated by structured low-rank modeling, named LORAKI, has been proposed for refined MRI reconstruction, where its training employed fully-sampled autocalibrated signal (ACS). Although applying LORAKI framework to BUDA is beneficial, acquiring fully-sampled ACS for msEPI is not practical. We propose scan-specific unsupervised ANNs for improved BUDA msEPI without training data. Experiment results indicate that the proposed BUDA-LORAKI exhibits advantages, with up to 1.5x reduction in NRMSE compared to standard BUDA reconstruction. |
| 0225
|
12:00
|
Deep Low-rank plus Sparse Network for Dynamic MR Imaging |
| Wenqi Huang1,2, Ziwen Ke1,2, Zhuo-Xu Cui1, Jing Cheng2,3, Zhilang Qiu2,3, Sen Jia3, Yanjie Zhu3, and Dong Liang1,3 | ||
1Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China, 3Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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In dynamic MR imaging, L+S decomposition, or robust PCA equivalently, has achieved stunning performance. However, the selection of parameters of L+S is empirical, and the acceleration rate is limited, which are the common failings of iterative CS-MRI reconstruction methods. Many deep learning approaches were proposed to address these issues, but few of them used the low-rank prior. In this paper, a model-based low-rank plus sparse network, dubbed as L+S-Net, is proposed for dynamic MR reconstruction. Experiments on retrospective and prospective cardiac cine dataset show that the proposed model outperforms the state-of-the-art CS and existing deep learning methods. |
| 0226
|
12:00
|
Joint Reconstruction of MR Image and Coil Sensitivity Maps using Deep Model-based Network |
| Yohan Jun1, Hyungseob Shin1, Taejoon Eo1, and Dosik Hwang1 | ||
1Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of |
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We propose a Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet), which jointly reconstructs an MR image and coil sensitivity maps from undersampled multi-coil k-space data using deep learning networks combined with MR physical models. Joint-ICNet has two blocks, where one is an MR image reconstruction block that reconstructs an MR image from undersampled k-space data and the other is a coil sensitivity reconstruction block that estimates coil sensitivity from undersampled k-space data. The desired MR image and coil sensitivity maps can be obtained by sequentially estimating them with two blocks based on the unrolled network architecture. |
| 0227
|
12:00
|
Ungated time-resolved cardiac MRI with temporal subspace constraint using SSA-FARY SE |
| Sebastian Rosenzweig1,2 and Martin Uecker1,2 | ||
1Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany, 2Partner Site Göttingen, German Centre for Cardiovascular Research (DZHK), Göttingen, Germany |
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SSA-FARY SE is a simple yet powerful novel method to estimate a suitable temporal basis for subspace reconstructions of time-series data from a potentially very small auto-calibration region. Here, we first describe the general strategy of subspace constraint time-series reconstruction. Then, we show how SSA-FARY SE can be used to estimate a suiteable temporal basis. Finally, we demonstrate its functionality by estimating temporal basis functions from the DC-components of radial spokes in single-slice and Simultaneous Multi-Slice free-breathing cardiac MRI acquisitions. |
| 0228 | 12:00
|
A unified model for simultaneous reconstruction and R2* mapping of accelerated 7T data using the Recurrent Inference Machine |
| Chaoping Zhang1, Dirk Poot2, Bram Coolen1, Hugo Vrenken3, Pierre-Louis Bazin4,5, Birte Forstmann4, and Matthan W.A. Caan1 | ||
1Biomedical Engineering & Physics, Amsterdam UMC, Amsterdam, Netherlands, 2Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, Netherlands, 3Radiology, Amsterdam UMC, Amsterdam, Netherlands, 4Integrative Model-based Cognitive Neuroscience research unit, University of Amsterdam, Amsterdam, Netherlands, 5Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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Quantitative MRI often relies on the acquisition of multiple images with different scan settings. Therefore, data redundancy can be exploited to further accelerate imaging by deep learning. We propose a unified model for joint reconstruction and $$$R_2^*$$$-mapping from sparse data and embed this in a Recurrent Inference Machine, an iterative inverse problem solving network. Applied to high-resolution multi-echo gradient echo data of a cohort study covering the entire adult life span, the error in $$$R_2^*$$$ significantly decreases. With increasing acceleration factor, an increasing reduction in error is observed, pointing to a larger benefit for sparser data. |
| 0229 | 12:00
|
Joint Data Driven Optimization of MRI Data Sampling and Reconstruction via Variational Information Maximization |
| Cagan Alkan1, Morteza Mardani1, Shreyas S. Vasanawala1, and John M. Pauly1 | ||
1Stanford University, Stanford, CA, United States |
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We propose a framework for learning the sampling pattern in MRI jointly with reconstruction in a data-driven manner using variational information maximization. We enable optimization of k-space samples via continuous parametrization of the sampling coordinates in the non-uniform FFT operator. Experiments with knee MRI shows improved reconstruction quality of our data-driven sampling over the prevailing variable-density sampling, highlighting possible benefits that can be obtained by learning data sampling patterns. |
| 0230 | 12:00
|
Design of slice-selective RF pulses using deep learning |
| Felix Krüger1, Max Lutz1, Christoph Stefan Aigner1, and Sebastian Schmitter1 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany |
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We utilize a residual neural network for the design of slice-selective RF and gradient trajectories. The network was trained with 300k SLR RF pulses. The network predicts the RF pulse and the gradient for a desired magnetization profile. The aim is to evaluate the feasibility and dependence on different parameter variations of this new approach. This method is validated comparing the prediction of the neural network with Bloch simulations and with phantom experiments at 3T. These insights serve as a basis for more general and complex pulses for future neural network design. |
| 0231
|
12:00
|
Deuterium Echo-Planar Spectroscopic Imaging (DEPSI) to Dynamically Monitor Deuterated Glucose in the Liver at 7T |
| Kyung Min Nam1, Ayhan Gursan1, Alex Bhogal1, Jannie Wijnen1, Dennis Klomp1, Jeanine Prompers1, and Arjan D. Hendriks1 | ||
1University of Medical Center Utrecht, Utrecht, Netherlands |
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Deuterium Echo-Planar Spectroscopic Imaging (DEPSI) is proposed as a way to increase the spatial and temporal resolution of deuterium metabolic imaging (DMI) at 7T. Typically, DMI uses traditional, slow MRSI sequences, which cannot capture rapid dynamic metabolic processes in large organs with sufficient spatial and/or temporal resolution. With DEPSI, in vivo glucose metabolism of the liver could be monitored after intake of [6,6′-2H2]-glucose with 20 mm nominal voxel size, full liver coverage, and a scan time of less than 10 minutes. DEPSI was combined with Hamming weighted acquisition in the phase encoding directions to maximize SNR. |
| 0232 | 12:00
|
Deuterium metabolic imaging (DMI) of glucose metabolism in pregnant preeclamptic mice at 15.2 tesla. |
| Stefan Markovic1, Tangi Roussel2, Michal Neeman3, and Lucio Frydman1 | ||
1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2Center for Magnetic Resonance in Biology and Medicine, Marseille, France, 3Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel |
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Deuterium Metabolic Imaging (DMI) was used to follow metabolism in wildtype and l-NAME induced preeclamptic pregnant mice, after intravenous administration of 2H6,6’-glucose. Maps for 2H6,6’-glucose and its metabolic products 2H3,3’-lactate and 2H-water were measured over 2 hours by 2H CSI at 15.2 tesla. 2H-water was generated as main metabolic product in fetoplacental units; placentas and fetal organs also generated 2H3,3’-lactate, but this was not detected in other maternal organs. Lactate levels were more elevated and its clearance was slower in preeclamptic fetuses than in healthy controls. DMI thus may aid in development and monitoring of future intervention for early preeclampsia. |
| 0233
|
12:00
|
Hyperpolarized [2-13C]Pyruvate Molecular Imaging with Whole Brain Coverage |
| Yaewon Kim1, Brian T. Chung1, Jeremy W. Gordon1, Adam W. Autry1, Chou T. Tan2, Chris Suszczynski2, Susan M. Chang3, Yan Li1, Duan Xu1, and Daniel B. Vigneron1,3 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2ISOTEC Stable Isotope Division, MilliporeSigma, Merck KGaA, Miamisburg, OH, United States, 3Department of Neurological Surgery, University of California, San Francisco, CA, United States |
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Hyperpolarized (HP) [2-13C]pyruvate MRI has great clinical potential for monitoring pyruvate-to-glutamate conversions through the TCA cycle in addition to pyruvate-to-lactate glycolytic metabolism. This new method for human molecular imaging has enabled whole brain acquisitions with sufficient signal-to-noise. Using a specialized multi-slice EPI sequence, volumetric, dynamic images of HP [2-13C]pyruvate and its downstream metabolites [5-13C]glutamate and [2-13C]lactate were acquired from healthy brain volunteers. The downfield and upfield lactate signals were acquired separately with no artifacts arising from J-coupling were observed. This work demonstrated the capability of volumetric and dynamic [2-13C]pyruvate EPI to interrogate both glycolytic and oxidative cerebral energy metabolism simultaneously. |
| 0234
|
12:00
|
Clinical translation of simultaneous metabolic and perfusion imaging with hyperpolarized [1-13C]pyruvate and [13C, 15N2]urea |
| Hecong Qin1,2, Shuyu Tang1, Andrew Riselli1, Robert A. Bok1, Romelyn Delos Santos1, Mark Van Criekinge1, Jeremy W. Gordon1, Rahul Aggarwal3, Evelyn Escobar1, Rui Chen4, Chunxin Tracy Zhang5, Gregory Goddard5, Albert Chen4, Galen Reed4, Ruscitto M. Daniel5, Renuka Sriram1, James Slater1, Peder E.Z. Larson1,2, Daniel B. Vigneron1,2, and John Kurhanewicz1,2 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Graduate Program in Bioengineering, UC Berkeley – UCSF, San Francisco, CA, United States, 3Medicine, University of California, San Francisco, San Francisco, CA, United States, 4GE Healthcare, Waukesha, WI, United States, 5GE Research, Niskayuna, NY, United States |
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Altered metabolism and perfusion are implicated in cancer’s underlying pathophysiology. Prior preclinical and clinical studies have shown that metabolic and perfusion imaging could provide a sensitive and specific evaluation of tumor grade and therapeutic response. We aim to develop a dual-agent hyperpolarized 13C MR technique for simultaneous metabolic and perfusion imaging in humans. Here, we report the technical developments towards its clinical translation: 1) formulation and co-polarization system of 13C pyruvate and urea, 2) imaging probe characterization, 3) safety-related studies, and 4) multi-probe imaging sequence. Upon FDA approval, this work would lead to the first-in-human dual-agent hyperpolarized MR study. |
| 0235
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12:00
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High-resolution 3D Phosphorus Metabolic Imaging of the Human Brain at 7T using SPICE |
| Hannes Michel Wiesner1, Rong Guo2,3, Yudu Li2,3, Yibo Zhao2,3, Zhi-Pei Liang2,3, Xiao-Hong Zhu1, and Wei Chen1 | ||
1CMRR, 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, 3Departments of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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In vivo 31P MRS imaging (MRSI) is unique to study brain energy metabolism including ATPase and creatine kinase metabolic rates, and the NAD redox ratio especially at ultrahigh field (UHF) with significant improvements in detection sensitivity and spectral resolution. Nevertheless it is still challenging to achieve high spatial resolution even at UHF, owing to extremely low concentration of phosphorus metabolites. In this study, we employed the subspace‐based image reconstruction method called SPICE to largely reduce spectral noise and increase the signal-to-noise ratio (SNR) for achieving high-resolution 3D 31P MRSI covering the entire human brain at 7T. |
| 0236
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12:00
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Assessment of sensitivity, resolution, and quantification of Synomag-D labeled dendritic cells with magnetic particle imaging |
| Julia J Gevaert1,2, Corby Fink3,4, Jimmy D Dikeakos3, Gregory A Dekaban3,4, and Paula J Foster1,2 | ||
1Department of Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Cellular and Molecular Imaging Group, Robarts Research Institute, London, ON, Canada, 3Department of Microbiology and Immunology, University of Western Ontario, London, ON, Canada, 4Biotherapeutics Research Laboratory, Robarts Research Institute, London, ON, Canada |
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The purpose of this study was to explore magnetic particle imaging (MPI), which directly detects superparamagnetic iron oxide nanoparticles (SPIOs) as a novel technique for tracking dendritic cells (DCs). DCs were labeled using Vivotrax, a commonly used MPI-SPIO, and Synomag-D, a tailored MPI-SPIO, with and without transfection agents. Vivotrax with TAs showed high levels of extracellular iron, overestimating iron content and cellular sensitivities. The use of TAs improved cellular sensitivity of Synomag-D to as few as 6k cells with 1min 2D images. Signal from 250k and 25k cells could be resolved at a distance of 2cm with 3D imaging. |
| 0237
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12:00
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First in vivo detection of carnosine using CEST |
| Solène Bardin1,2, Michele Lecis1,3, Davide Boido1,2, Fawzi Boumezbeur1,2, and Luisa Ciobanu1,2 | ||
1NeuroSpin, CEA, Gif-sur-Yvette, France, 2Paris-Saclay University, Saclay, France, 3Technical University of Munich, Munich, Germany |
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Accelerated CEST acquisitions using a linescan sequence coupled with an ultra-high magnetic field allows, for the first time, the detection of carnosine in vivo. |
| 0238
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12:00
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Quantitative Sodium MRI of the Human Kidney at 7T Applying Respiratory Sorting |
| Anna K. Scheipers1, Johanna Lott1, Armin M. Nagel1,2, Peter Bachert1, Mark E. Ladd1, and Tanja Platt1 | ||
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2University Hospital Erlangen, Institute of Radiology, Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU), Erlangen, Germany |
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Sodium (23Na) plays an important role in many cellular processes, making it an interesting nuclei to investigate using MRI. Low in-vivo signals and short relaxation times require high magnetic field strengths, dedicated hardware and pulse sequences as well as correction methods to obtain reliable tissue sodium concentrations. Therefore we compare the influence of different correction methods on 23Na concentration investigations in the human kidney and validate our methods with phantom measurements. We employ retrospective respiratory self‐gating for the quantitative 23Na images as well as for the acquired B1+ maps to reduce the influence of image blurring due to motion artifacts. |
| 0239
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12:00
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Quantitative sodium and diffusion imaging of mild traumatic brain injury: regional analysis findings |
| Anna M Chen1, Teresa Gerhalter1, Seena Dehkharghani1,2, Rosemary Peralta1, Fatemeh Adlparvar1, James S Babb1, Tamara Bushnik3, Jonathan M Silver4, Brian S Im3, Stephen P Wall5, Ryan Brown1,6, Steven Baete1,6, Ivan I Kirov1,2,6, and Guillaume Madelin1 | ||
1Center for Biomedical Imaging, Department 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 Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, United States, 4Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 5Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, United States, 6Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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27 mTBI patients and 19 controls were scanned at 3T. Total sodium concentration (TSC), fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were measured with voxel averaging in 12 grey and white matter regions-of-interest (ROIs). Patients had lower mean TSC than controls across all ROIs, however, statistical significance was only reached in the caudate. Statistically significant FA differences also occurred in only one region, frontal white matter (WM), while none were observed for ADC. TSC changes existed in mTBI and occurred with similar frequency as FA, but the FA finding had a higher effect size, and correlated with symptoms. |
| 0240
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12:00
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Optimized simultaneous 3D proton MRF and sodium MRI |
| Zidan Yu1,2, Olga Dergahyova1, Daniel K. Sodickson1,2, Guillaume Madelin1,2, and Martijn A. Cloos3,4 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Langone Health, New York, NY, United States, 3Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 4ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia |
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In this work, we present an optimized 3D technique that can simultaneously acquire quantitative 1H density, T1, T2, B1+ maps and a 23Na image of the whole head in a reasonable scan time (~20 min). |
| 0241
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12:00
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Heavily T2-weighted Imaging with Phase-Based RF Modulated GRE Imaging |
| Soudabeh Kargar1, Daiki Tamada1, Ruvini Navaratna1, Jayse Merle Weaver1, and Scott B Reeder1 | ||
1Radiology, University of Wisconsin - Madison, Madison, WI, United States |
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Heavily T2-weighted imaging is used for a variety of fluid sensitive imaging such as MRCP. However, these fast spin-echo-based methods suffer from long acquisition duration. In this work we apply a novel strategy using RF phase modulated gradient echo (GRE) with small RF phase increments to encode T2 information into the phase of the signal. In this work, we optimize this strategy for long T2 species to achieve heavily T2-weighted imaging, including the introduction of a novel cross-product strategy to highlight signal in tissues with long T2 and suppress signal in tissues with shorter T2 values. |
| 0242 | 12:00
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Deuterium metabolic imaging (DMI) of Water, Glucose and Lactate using spectroscopic multi-echo bSSFP: A higher Signal to Noise Approach |
| Dana C. Peters1, Stefan Markovic2, Qingjia Bao2, Dina Preise2, Keren Sasson2, Lilach Agemy2, Avigdor Scherz2, and Lucio Frydman2 | ||
1Radiology and Biomed Eng., Yale University, New Haven, CT, United States, 2Weizmann Institute of Science, Rehovot, Israel |
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Deuterium metabolic imaging (DMI) maps the individual in vivo fate of 2H-enriched metabolites. Upon injecting 2H6,6’-glucose, DMI images a 2H-water peak, and a small but diagnostic 2H3,3’-lactate signature, highlighting tumors and their aberrant metabolism. DMI faces major sensitivity challenges, that can be alleviated by a multi-echo balanced SSFP approach. When suitably tuned, multi-echo bSSFP yields good spectral isolation of all metabolites, and thanks to the relatively large T2/T1 ratios of deuterated compounds, several-fold increases in SNR vs. chemical shift imaging are then obtained. This is demonstrated in phantoms, and in in vivo mice studies of orthotopic pancreatic tumors. |
| 0243 | 12:00
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Detection of ionic bonding using IMMOBILISE MRI and theoretical description of the relayed NOE transfer mechanism |
| Yang Zhou1, Peter van Zijl2,3, Chongxue Bie2,3,4, Jiadi Xu2,3, Xin Liu1, and Nirbhay N. Yadav2,3 | ||
1Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, China, 2The Russell H. Morgan Department of Radiology, The 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, 4Department of Information Science and Technology, Northwest University, Xian, China |
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Saturation transfer MRI has previously been applied to study transient molecular binding using the IMMOBILISE MRI approach, yet the multiple mechanisms of magnetization transfer during such binding are still under investigation. We studied electrostatic-interaction-mediated molecular binding of small substrates (choline and arginine) to ion-exchange column media. A theoretical model using relayed NOEs to exchangeable protons in the bound substrate is proposed to quantitatively describe the saturation transfer during such binding. |
| 0244 | 12:00
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The combination of ITSS and R2* in quantitatively and automatically evaluating histological grade of HCC using ESWAN: A feasibility study |
| Dahua Cui1, Ailian Liu1, Hongkai Wang2, Mingrui Zhuang2, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian University of Technology, Dalian, China |
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The aim of this study was to investigate the feasibility of intratumoral susceptibility signal intensities (ITSS) combined with R2* values obtained from T2 star-weighted angiography (ESWAN) in quantitatively and automatically evaluating histological grading of hepatocellular carcinoma (HCC). The results showed that the combination of quantitative ITSS and R2* was feasible to evaluate the histological grading of HCC performance (AUC = 0.856, P < 0.0001, sensitivity of 88.89%, specificity of 69.44%) automatically. |
| 0245 | 12:00
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Improved T2' Mapping in Simultaneous Neurometabolic and Oxygenation Imaging Experiments |
| Tianxiao Zhang1, Rong Guo2,3, Yudu Li2,3, Yibo Zhao2,3, 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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Simultaneous MRSI and T2* mapping has been demonstrated recently using SPICE. With a T2 map, T2' values could be calculated, which reflects tissue oxygenation. However, the accuracy of T2* and T2 measurements suffers from system imperfections. In this work, we improved T2' mapping by overcoming signal dephasing in T2* mapping and estimation bias in T2 mapping. The signal dephasing in T2* caused by B0 inhomogeneity was corrected utilizing high-resolution field map and pre-learned subspaces, and the estimation bias in T2 caused by B1+ inhomogeneity was corrected with a dictionary-based estimation. The proposed method provided improved T2' mapping in SPICE experiments. |
| 0246 | 12:00
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Evaluation of an Iron-Oxide Nanoparticle Contrast Agent for Vascular Suppression in Magnetic Resonance Neurography |
| Sophie Queler1, Ek Tsoon Tan1, Martin Prince2, John Carrino1, and Darryl Sneag1 | ||
1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Weill Cornell Medicine, New York, NY, United States |
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In this study, we investigated the use of ferumoxytol, an iron-oxide nanoparticle, for vascular signal suppression in 3 Tesla magnetic resonance neurography of the brachial plexus. A 3D, T2-weighted STIR sequence was prospectively acquired of 19 normal brachial plexi in 10 volunteers (1 unilateral; 9 bilateral) before and after ferumoxytol infusion. Independent assessment of anonymized exams by two radiologists demonstrated overall improved vascular suppression as well as improved visualization of the suprascapular nerve with increased diagnostic confidence. Improvements in nerve-, fat-, and blood-to-muscle contrast were supported by signal simulations. |
| 0247
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12:00
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Susceptibility artifact correction in MR thermometry for monitoring of mild RF hyperthermia using total field inversion |
| Christof Boehm1, Marianne Goeger-Neff2, Hendrik T. Mulder3, Benjamin Zilles2, Lars H. Lindner2, Gerard C. van Rhoon3, Dimitrios C. Karampinos4, and Mingming Wu1 | ||
1Technical University of Munich, Munich, Germany, 2Department of Medicine III, University Hospital, LMU Munich, Munich, Germany, 3Erasmus MC Cancer Institute, Rotterdam, Netherlands, 4Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany |
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Motion-induced susceptibility changes induce field variations, leading to large errors during MR thermometry based on the linear proton resonance frequency shift. These artefacts aggravate temperature quantification in the face of both the long treatment duration and the mild temperature change during mild RF hyperthermia treatments. We show with the help of simulations, a phantom heating experiment, volunteer scans and mild hyperthermia treatment of a patient with cervical cancer and a sarcoma patient how to correct for this artefact source by methods known from quantitative susceptibility mapping. The recently introduced total field inversion shows advantages over the background field removal methods. |
| 0248 | 12:00
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Fast MR thermometry based on propeller echo‐planar time‐resolved imaging with dynamic encoding (PEPTIDE) |
| Zhehong Zhang1, Fair Merlin2, Fuyixue Wang3,4, Zijing Dong3,5, Wending Tang1, Menghan Li1, Danna Wei6, Kawin Setsompop2,7, and Kui Ying1 | ||
1Department of Engineering Physics, Tsinghua University, Beijing, China, 2Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 5Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 6Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 7Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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Echo‐planar time‐resolved imaging (EPTI) is a multi-shot EPI technique capable of rapidly obtaining distortion‐free and blurring‐free time-resolved multi-contrast images across the EPI readout. PROPELLER is an extension to EPTI, which incorporates PROPRELLER-like acquisition, to enable shot-to-shot motion toleration. In this work, PEPTIDE was applied to the MR thermometry application, where an image reconstruction framework that leveraged sparsity across blades of PEPTIDE rawdata was proposed. The potential in using PEPTIDE to provide distortion- and blurring-free temperature mapping at high temporal resolution was then demonstrated via simulated human brain PEPTIDE data with various temperature profiles. |
| 0249 | 12:00
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Motion-robust, multi-slice, real-time MR PRFS Thermometry for MR-guided ultrasound thermal therapy in abdominal organs |
| Kisoo Kim1, Chris Diederich2, and Eugene Ozhinsky1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States |
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MR temperature monitoring during ultrasound thermal therapy of abdominal organs is challenging due to respiratory motion. It is especially important for hyperthermia therapy, which requires accurate temperature measurements to ensure therapeutic heating within a narrow temperature window (37-45 °C). In this study we developed a motion-robust, multi-slice, real-time MR thermometry sequence and reconstruction pipeline for the monitoring of temperature in hyperthermia or thermal ablation therapy in abdominal organs. This technique was implemented in RTHawk and evaluated in simulated acquisitions, phantom experiments with a custom-made motion phantom, and in-vivo healthy volunteer experiment without heating. |
| 0250 | 12:00
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Calibrationless B1 Mapping for Accurate Macromolecular Proton Fraction Mapping Using Relaxometry Constraints |
| Alexey Samsonov1 | ||
1University of Wisconsin-Madison, Madison, WI, United States |
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Macromolecular proton fraction (MPF) is an established myelin marker with confirmed clinical relevance, but with sensitivity to technological variations such as B1 field errors. We propose a method to derive B1 map for MPF correction from MPF data itself. The method is based on standard two-pool MT formalism enhanced with improved relaxometry constraints. |
12:00
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MR Electrical Impedance Tomography (MREIT) of Transcranial Direct Current Stimulation (tDCS) | |
| Rosalind Sadleir | ||
| Arizona State University | ||
12:30
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Concurrent Mapping of Electromagnetic Field & Neurophysiological Effects of tDCS Using MRI | |
| Mayank Jog | ||
| University of California, Los Angeles | ||
13:00
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Understanding TMS Effects on the Brain: Simultaneous TMS & MRI | |
| Yihong Yang | ||
| National Institute of Drug Abuse (NIDA) | ||
13:30
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Functional Network Neuromodulation of the Motor System: MRI-Based Connectivity Analysis Can Reveal Clinical, Behavioral & Neural Consequences of DBS in Parkinson’s Disease | |
| Wolf-Julian Neumann | ||
| Charité - University Medicine Berlin | ||
| 0251 | 12:00
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Phase synchronization of resting-state brain networks with the intrinsic electrical rhythm of the stomach |
| Ann S Choe1,2,3, Bohao Tang4, Kimberly R. Smith5, Hamed Honari6, Martin A. Lindquist4, Brian S. Caffo4, and James J. Pekar1,3 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2International Center for Spinal Cord Injury, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Radiology, Johns Hopkins Medicine, Baltimore, MD, United States, 4Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 5Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medicine, Baltimore, MD, United States, 6Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States |
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Combining concurrent cutaneous electrogastrography (EGG) with resting-state fMRI (rsfMRI), we estimated resting-state brain networks from the rsfMRI data using independent component analysis, then used the amplitude-weighted Phase-Locking Value to assess whether those networks were synchronized with the intrinsic gastric rhythm estimated from the EGG data. We found 18 resting-state brain networks, of which 11 were found to be partially but significantly phase synchronized with the gastric rhythm. Disruptions to the gut-brain axis are thought to be involved in various disorders; manifestation of the infra-slow rhythm of the stomach in brain rsfMRI data could be useful for studies in clinical populations. |
| 0252
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12:00
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Deep learning based fully automatic analysis of gastric motility from contrasty-enhanced MRI |
| Xiaokai Wang1, Jiayue Cao1, Minkyu Choi2, and Zhongming Liu3 | ||
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States, 3Biomedical Engineering, Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States |
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Contrast-enhanced gastrointestinal MRI serves as a non-invasive tool for studying and assessing gastric functions. Previous studies generally have their home-brewed semi-automatic algorithm for assessing gastric motility. This process is time-consuming and susceptible to errors. Here, we used deep learning to establish a fully automatic pipeline for assessing gastric motility with contrast-enhanced gastrointestinal MRI in rats. We cross-validated our analysis against simultaneously recorded electrogastrogram indicating gastric myoelectrical activity. Results from this analysis are consistent with electrogastrogram in terms of time, frequency, and power, and in addition, shed light on more detailed spatial characteristics of gastric motility. |
| 0253 | 12:00
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To quantify liver and pancreatic fat content in subjects with and without type 2 diabetes as measured by MRI-PDFF-observational study |
| Sonal Krishan1, Aparajita Pradhan2, and Shafi Kuchay3 | ||
1Radiology, Medanta Hospital, Gurgaon, India, 2Medanta Hospital, Gurgaon, India, 3Endocrinology, Medanta Hospital, Gurgaon, India |
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Aim of this study was to quantify liver (LFC) and pancreatic fat content (PFC) in subjects with and without type 2 diabetes (DM) as measured by MRI-PDFF. 25 adult patients who had recently diagnosed DM were compared with control group of 37 without DM. All underwent MRI PDFF for evaluation of LFC and PFC. The mean LFC in DM group was more: 12.1 % (8-20) vs Non-DM 6.7% (4.2-10.7).The overall prevalence of NAFLD in our study, was 72.6% (45/62 patients).In DM subgroup the NAFLD prevalence was more-88.0%. MRI PDFF can be a screening tool for NAFLD in patients with DM. |
| 0254
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12:00
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Quantitative MRI measurements of ectopic fat and body composition as predictors of T2D remission after bariatric surgery |
| Naomi S Sakai1, Kusuma Chaiyasoot1, Alan Bainbridge2, Margaret Hall-Craggs1, Rachel L Batterham1, and Stuart A Taylor1 | ||
1University College London, London, United Kingdom, 2University College London Hospitals, London, United Kingdom |
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Bariatric surgery can lead to rapid and substantial improvements in glycaemic control, often before significant weight loss has occurred. However, a proportion of patients do not achieve type 2 diabetes (T2D) remission after surgery despite significant post-surgical weight loss. Ectopic fat deposition and alterations in body composition are implicated in T2D pathoaetiology. Quantitative MRI (qMRI) can provide non-invasive measurements of ectopic organ fat and body composition which may have roles as predictors of T2D remission after bariatric surgery. This study aimed to assess the relationship between T2D remission status and qMRI-derived measurements of ectopic fat and body composition. |
| 0255 | 12:00
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Optimizing T2-weighted MRI and DWI of the Esophagus |
| Jitka Starekova1, Lloyd Estkowski2, Ruiqi Geng1,3, Yuxin Zhang1,3, Diego Hernando1,3, and Scott B Reeder1,3,4,5,6 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Global MR Applications and Workflow GE Healthcare, Madison, WI, United States, 3Medical Physics, 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 Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Esophageal MRI is emerging alternative to endoscopic ultrasound (EUS) and computed tomography (CT) for the detection and staging of cancer. Esophageal MRI has great potential for screening, active surveillance post-neodjuvant therapy and ruling out surgery for patients with higher stage cancer. The major challenges in esophageal imaging are the spatial resolution, as the esophageal wall is only approximately 3mm thick, and cardiac related motion artifacts. This prospective study aimed to address these challenges by developing a protocol for high-resolution T2-weighted and motion-robust diffusion-weighted imaging of the esophagus and periesophageal tissue. |
| 0256 | 12:00
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Using texture analysis to detect changes in intestinal contents in people with cystic fibrosis |
| Neele S Dellschaft1,2, Caroline Hoad1,2, Christabella Ng2,3, Luca Marciani2,4, Robin Spiller2,4, Alan Smyth2,3, Giles Major2,4, and Penny Gowland1,2 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Nottingham NIHR Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 3Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham, United Kingdom, 4Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, United Kingdom |
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Cystic Fibrosis (CF) is a genetic disease leading to sticky mucus, slower small bowel transit and maldigestion. We used MRI to characterize gastrointestinal function in CF. Changes in the image texture suggested increased bacterial load in the small bowel, which we have now quantified applying Haralick texture analysis. The difference in texture observed between small bowel and colon chyme in healthy subjects was less distinct in people with CF (Control median 2.11 a.u. [IQR 0.71, 3.30] v.CF 0.90 a.u. [0.38, 1.67], Wilcoxon P=0.010). This compared well to subjective analysis. These findings probably indicate overgrowth of colonic bacteria and maldigestion. |
| 0257 | 12:00
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Noninvasive Assessment of Healthy People, New-onset and Long Standing Male T2DM Patients on Skeletal Muscle With T1ρMRI of Calf Muscle |
| Yufei Zhao1,2, Yang Jiang1,2, Jingyue Dai1,2, Honghong Wu1,2, Ying Cui1,2, Xinxiang Li1,2, and Xingui Peng1,2 | ||
1Jiangsu Key Laboratory of Molecular and Functional Imaging, Southeast University, Nanjing, China, 2Radiology, Zhongda Hospital Southeast University, Nanjing, China |
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T1ρ magnetic resonance can non-invasively assess the changes in the distribution of myofiber in male T2DM patients and this changes is gradually obvious as the course of the disease progresses. |
| 0258
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12:00
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Deep Learning Based Segmentation and Fat Fraction Assessment of the Calf in Diabetic Subjects and Non-Diabetic Controls |
| Jill T Shah1, Katherine Medina2,3, Haresh R Rajamohan2,4, Justin Ho2,3, Cem M Deniz2,3, and Ryan Brown2,3 | ||
1New York University Grossman School of Medicine, New York, NY, United States, 2Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 4Center for Data Science, New York University, New York, NY, United States |
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Diabetes mellitus, muscular dystrophies, and other pathologies are characterized by metabolic impairment that can lead to lower extremity muscle degeneration. While MRI provides access to quantitative biomarkers to characterize muscle quality, analysis requires time-consuming manual image segmentation. To address this problem, we developed an automated segmentation algorithm based on a convolutional neural network that provided high dice similarity coefficient scores (>0.92) in the gastrocnemius medial, gastrocnemius lateral, and soleus muscles. We utilized the automatic segmentations to show volumetric fat fraction was elevated in individuals with diabetic peripheral neuropathy compared to controls in the soleus and gastrocnemius medial muscles (P<0.05). |
| 0259 | 12:00
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Evaluation of muscle oxygen extraction fraction in response to 15 weeks of exercise training: Comparison of people with and without type 2 diabetes |
| Erin K Englund1, Deirdre Rafferty2, Jie Zheng3, Hongyu An3, Judith G Regensteiner2,4, Alex J Barker1,5, and Jane EB Reusch2,4 | ||
1Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 2Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 3Department of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 4Center for Women’s Health Research, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 5Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, CO, United States |
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Oxygen extraction fraction (OEF) provides insight into muscle oxygen consumption. As part of a larger exercise training study, 16 sedentary participants (12 controls, 4 with diabetes) underwent an MRI scan to determine OEF before and after 15 weeks of supervised exercise training. Pilot MRI data were acquired at rest with an asymmetric spin echo sequence and used to calculate OEF in the medial gastrocnemius muscle. Cardiovascular exercise capacity, measured as VO2Peak, was reduced in people with diabetes. MRI-measured OEF did not differ between groups, however a decrease in OEF was observed in all participants in response to exercise training. |
| 0260 | 12:00
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Dermal sodium space in controls and Type 2 Diabetes Mellitus patients characterised at histological length scales using 1H/23Na MRS and MRI at 9.4T |
| Galina E Pavlovskaya1,2, Christopher J Philp1, Thomas Meersmann1, Petra Hanson3,4, Harpal S Randeva4,5, Paul Paul O’Hare4,5, and Thomas Barber4,5 | ||
1SPMIC/Medicine, Univeristy of Nottingham, Nottingham, United Kingdom, 24Nottingham NIHR Biomedical Research Centre, Nottingham, United Kingdom, 3Warwick Medical School, University of Warwick, Warwick, United Kingdom, 42Warwickshire Institute for the Study of Diabetes Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire, Coventry, United Kingdom, 5Warwick Medical School, University of Warwick, Coventry, United Kingdom |
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We reveal intriguing experimental results providing the evidence for dermal space storage for sodium, and how dynamics of the space changes in patients with Type2 Diabetes Mellitus. |
| 0261 | 12:00
|
Cumulative effects of a statin cocktail on cerebral blood flow and cognitive function in patients with Alzheimer’s Disease |
| Mohammed Salman Shazeeb1, Elizabeth Degrush2,3, Zeynep Vardar1, Clifford Lindsay1, Matthew Gounis1, and Nils Henninger2,3 | ||
1Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States, 2Department of Neurology, University of Massachusetts Medical School, Worcester, MA, United States, 3Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States |
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Decreased cerebral metabolism has been implicated in pathogenesis of Alzehimer’s disease. The endothelial nitric oxide synthase (eNOS) pathway plays a major role in cerebral blood flow regulation. This study used DSC-MRI in 10 patients treated with a drug regimen for supporting the eNOS pathway to investigate how perfusion patterns were associated with treatment response based on clinical psychometrics. Regional analysis on rCBF maps showed significant signal changes in the cognitively improved cohort based on ADAS-cog scores while patients that showed cognitive deterioration or no change based on ADAS-cog scores did not show significant rCBF changes. |
| 0262 | 12:00
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The aging quantitative brain: a multiparametric qMRI study |
| Ana-Maria Oros-Peusquens*1, Jonas Kielmann*1, and N. Jon Shah1,2,3,4 | ||
1INM-4, Research Centre Juelich, Juelich, Germany, 2Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany, 3INM-11, JARA, Research Centre Juelich, Juelich, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany |
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Quantitative MRI parameters are determined by the properties of tissue on a microscopic scale and can be expected to reflect microstructural changes created by aging. Here, we investigate a multiparametric qMRI signature of healthy ageing on 26 healthy volunteers, characterised in a high-dimensional parametric space (water content, relaxometry, qMT). Changes with age in the mean values and correlations between parameters are observed and interpreted. |
| 0263 | 12:00
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Alterations in dynamic functional connectivity in individuals with subjective cognitive decline |
| Qian Chen1, Jiaming Lu2, Xin Zhang2, Jilei Zhang3, and Bing Zhang1 | ||
1Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China, 2Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China, 3Philips Healthcare, Shanghai, China |
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Subjective cognitive decline (SCD) is considered a clinically-based approach for the detection of potential Alzheimer’s disease patients. We observed altered temporal properties of fractional windows, mean dwell time, and the number of transitions by dynamic functional connectivity (DFC) analysis in SCD individuals compared to the control subjects. The altered DFC parameters showed significant associations with cognitive performance. Our findings shed light on the role of DFC in the early detection of subjects with potential Alzheimer’s disease, and the alterations in DFC may suggest the neural basis underlying early cognitive decline in the SCD stage. |
| 0264
|
12:00
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Age-related alterations in cortical myelin profile using the Human Connectome Project Aging dataset |
| Yu Veronica Sui1 and Mariana Lazar1 | ||
1Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Demyelination is recognized as a major process in both normal aging and neurodegenerative diseases. Using the Human Connectome Project Aging dataset, we investigated intracortical demyelination in normal aging using T1w/T2w maps. To capture the fine changes across cortical layers, we employed a surface-based approach in contrast to the commonly used volumetric approach by constructing a cortical myelin profile for each region, which was then quantified using a nonlinearity index. We showed that the nonlinearity of cortical myelin profile exhibits a steeper decline with aging than cortical thickness and therefore presents the potential of a unique marker of age-related microstructural changes. |
| 0265
|
12:00
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Brain instability is a biomarker of Alzheimer’s disease progression |
| Mohammad S. E. Sendi1, Robyn L Miller2, Elizabeth Mormino3, David H Salat4, and Vince D Calhoun5 | ||
1Georgia Institute of Technology/Emory University, ATLANTA, GA, United States, 2Georgia State University, Atlanta, GA, United States, 3Stanford University, Stanford,, GA, United States, 4Harvard University, Cambridge, MA, United States, 5Georgia Institute of Technology, Atlanta, GA, United States |
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Finding a biomarker predicting the Alzheimer’s disease (AD) progression from a healthy stage to mild dementia is an essential step toward early medical intervention. In recent years, dynamic functional network connectivity (dFNC) from resting state-fMRI, which estimates brain states during the scan, uncovered excellent knowledge about AD progression's underlying mechanism. This study explored whether the AD brain produces similar and stable dFNC states across different scanning sessions and introduced dFNC state (or brain) instability as a potential biomarker of AD progression. Our finding suggests a need for multiple sessions scanning in analyzing rs-fMRI data in this group of patients. |
| 0266
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12:00
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Association of age-related neuropathologies with shape of subcortical structures in a large community cohort of older adults |
| Nazanin Makkinejad1, Ashish A. Tamhane2, David A. Bennett2, Julie A. Schneider2, Boris Gutman1, 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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Age-related neuropathologies have devastating effects on subcortical brain structures. MRI can be used to explore patterns of atrophy associated with various diseases, however, definitive diagnosis of age-related neuropathologies is only possible at autopsy. Therefore, this work combined ex-vivo MRI and detailed pathologic assessment (gold standard) in a large (N=814) community cohort of older adults to investigate the link between age-related neuropathologies and the shape of different subcortical brain structures. The resulting patterns of deformation may contribute towards development or enhancement of in-vivo classifiers of these neuropathologies. |
| 0267 | 12:00
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Assessment of Cerebrovascular Disease and White Matter Neurite Density in Alzheimer’s Disease |
| Grant S Roberts1, Leonardo A Rivera-Rivera2, Kevin M Johnson1,3, Sterling C Johnson2, Douglas C Dean III1,4, Andrew L Alexander1,5, Oliver Wieben1, and Laura B Eisenmenger3 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Medicine, University of Wisconsin - Madison, Madison, WI, United States, 3Radiology, University of Wisconsin - Madison, Madison, WI, United States, 4Pediatrics, University of Wisconsin - Madison, Madison, WI, United States, 5Psychiatry, University of Wisconsin - Madison, Madison, WI, United States |
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White matter (WM) microstructural alterations have been shown to occur in Alzheimer’s disease (AD) and may be partially mediated by cerebrovascular disease (CVD). The objective of this study is to use neurite orientation dispersion and density imaging (NODDI) to assess differences in neurite density (NDI) and its relationship to measures of CVD from 4D flow MRI in cognitively normal (CN) and AD subjects. Our results showed differences in NDI between groups in various WM tracts and found correlations between NDI and cerebral blood flow in CN subjects in several WM structures. |
| 0268 | 12:00
|
Visual interpretation of brain MRE exams using non-parametric statistical mapping to diagnose normal pressure hydrocephalus |
| Matthew Christopher Murphy1, Petrice M Cogswell1, Joshua D Trzasko1, Armando Manduca2, Matthew L Senjem1, Clifford R Jack, Jr.1, Fredric B Meyer3, Richard L Ehman1, and John Huston, III1 | ||
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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A non-parametric statistical framework is outlined to display the result of brain MRE exams in terms of an effect size. This approach is built upon a neural network-based MRE inversion that estimates the posterior cumulative distribution function at each voxel, and accounts for age, sex, spatial variation in stiffness, and uncertainty in property estimation. Using these effect size maps but no summary statistics, neuoradiologists were able to diagnose normal pressure hydrocephalus with 70% sensitivity and 100% positive predictive value. |
| 0269 | 12:00
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Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is associated with lower R2 relaxation rate |
| Mahir Tazwar1, Arnold M Evia Jr.2, Ashish A Tamhane2, 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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Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is now recognized as a common age-related neuropathology that has been linked to cognitive decline and dementia. In this work, the spatial pattern of R2 alterations associated with LATE-NC was investigated in a large (N=797) community cohort of older adults. Voxel-wise analysis revealed a pattern of lower R2 for greater LATE-NC burden, controlling for all other neuropathologies and demographics. This pattern involved mainly the temporal, frontal, occipital lobes and basal ganglia. To our knowledge this is the first R2 investigation in LATE-NC. |
| 0270 | 12:00
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Tau correlates with tissue susceptibility and microstructure in APOE-ε4+ mild cognitive impairment |
| Jason Langley1, Daniel E Huddleston2, Sumanth Dara3, Ilana Bennett4, and Xiaoping P Hu1,3 | ||
1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Department of Neurology, Emory University, Atlanta, GA, United States, 3Department of Bioengineering, University of California Riverside, Riverside, CA, United States, 4Department of Psychology, University of California Riverside, Riverside, CA, United States |
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We examine the impact of APOE-ε4 carrier status on cortical iron, gray matter microstructure, and tau-PET signal in mild cognitive impairment. We found significant increases in susceptibility (p=0.01), tau-PET SUVR (p=0.01), and MD (p=0.046) in the temporal lobe of APOE-ε4 positive compared to APOE-ε4 negative participants. Significant correlations were seen between tau-PET SUVR and susceptibility (r=0.717), FA (r=-0.431), and MD (r=0.435) in the temporal lobe of APOE-ε4 positive participants. Taken together, these findings suggest that APOE-ε4 allele increases the risk of developing AD pathology and accumulating iron, which in turn leads to degradation of cortical tissue microstructure. |
12:00
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Bedside MRI - Disruptions & Opportunities in Clinical Imaging Due to SARS-CoV-2 | |
| Justin Glavis-Bloom1, Brian Yep1, Lu-Aung Yosuke Masudathaya1, Jennifer Soun1, Edward Kuoy1, Lori Norrick1, Sara Stern-Nezer2, Wengui Yu3, John Fox4, and Daniel S. Chow1 | ||
1Radiological Sciences, University of California, Irvine, Irvine, CA, United States, 2Neurology & Neurological Surgery, University of California, Irvine, Irvine, CA, United States, 3Neurology, University of California, Irvine, Irvine, CA, United States, 4Emergency Medicine, University of California, Irvine, Irvine, CA, United States |
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Point-of-care, bedside MRI represents a promising new technology for imaging emergent and critical care patients. Whereas in the past, resources were needed to assemble teams that included critical care nurses, respiratory therapists, and transport teams to bring patients to and from radiology departments, there is a dramatic reduction in personnel for POC imaging. This feature was especially important during the COVID pandemic to improve availability of our respiratory therapists and nurses. More studies are needed in the future to ascertain its diagnostic sensitivity and specificity for neurologic findings. |
12:30
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Disruptions & Opportunities in Training & Early Career During a Pandemic | |
| Mahmud Mossa-Basha1 | ||
1University of Washington, Seattle, WA, United States |
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COVID-19 has resulted in significant disruption to training and early career development for academic faculty and trainees alike, with disproportionate impact on females, parents with young children, and underrepresented minorities. In this talk, we highlight the obstacles faced by these groups in general and the way in which the pandemic has exacerbated these disparities. We also highlight potential programs and approaches academic departments can take to mitigate these disparities. The lecture also discusses the general impact on research, training, and education, as well as opportunities that have developed through COVID funding mechanisms and research. |
13:00
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Healthcare Disparities & Public Health Policy Exposed by the Pandemic | |
| Anand Kumar Narayan1 | ||
1Massachusetts General Hospital, Boston, MA, United States |
13:30
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Separating Fact Versus Fiction in a Pandemic: Social Responsibilities of Clinicians & Researchers? | |
| Joseph R. Osborne1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States |
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Over the last year, hospitals and Radiology departments -- particularly in New York City are -- have been inundated with cases of COVID-19 from the SARS-CoV-2 virus. This period of time has been very difficult, but has also forced introspection to discover where we as imagers can participate in solutions in this accelerated healthcare environment. This includes those who develop imaging probes, design imaging devices as well as those involved in direct patient care. |
14:30
|
4D Flow in Aging & Dementia | |
| Leonardo Rivera-Rivera | ||
15:00
|
Imaging Complex Flow in AVM Malformations | |
| Maria Aristova | ||
| Northwestern University | ||
15:30
|
Imaging Hemodynamics in the Fetus | |
| Christopher Macgowen | ||
16:00
|
Turbulence & Flow Disorder in & the Round the Heart | |
| Hannes Dillinger1, Sebastian Kozerke2 | ||
| 1, 2 | ||
16:30
|
Turbulence & Flow Disorder in Pulsatile Tinnitus | |
| Henrik Haraldsson | ||
| University of California, San Francisco | ||
12:30
|
Short- & Long-Term Effects of SARS-CoV-2 on Healthcare Workers | |
| Carolyn C. Meltzer1 | ||
1Emory University, Atlanta, GA, United States |
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The COVID-19 pandemic wrought unprecedented challenges for healthcare workers. Initial goals focused on the urgency of COVID-19 while delaying non-essential care, and ensuring the safety of staff, conserving PPE. As the pandemic wore on, we pivoted to caring for all patients – particularly those who deferred medical attention – in an already maximally stressed healthcare system. The blurring of work and home life, social isolation, shared grief, childcare/eldercare stresses, and superimposed racial strife has left our healthcare workforce exhausted and burned out. We must leverage lessons learned from this pandemic to reimagine healthcare systems. |
13:00
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The Promise of AI for Triage & Prediction Analytics in SARS-CoV-2 | |
| Jayashree Kalpathy-Cramer1 | ||
1Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States |
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There are numerous opportunities for AI to assist in the COVID-19 pandemic. In radiology, AI can be used for image interpretations, prognostication as well as for resource management, disparities research and epidemiological studies. We will review some of the promise of AI while also highlighting some of the challenges. AI algorithms can be brittle and may not generalize well. |
13:30
|
Post Pandemic, What Is the New Normal, What Does the Future Look Like? | |
| Bien Soo Tan1 | ||
1Singapore General Hospital, Singapore, Singapore |
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As we ponder the new normal for Radiology post-pandemic, we should learn from past experiences. At Singapore General Hospital, we learned bitter lessons from the SARS outbreak to better prepare for the next epidemic. We need to understand the future perspectives of our patients and our workforce. Patients will expect the highest level of infection prevention practices, and a ‘just-in-time’ service, with reduced physical contact. Healthcare institutions will need to design facilities that can pivot in function during disease outbreaks. Our workforce is our most precious resource, and organizations need to understand how to better support and care for staff. |
| 13:00 | Gynecological Cancer: How to Incorporate DWI in My Protocol |
| Kirsi Härmä |
| 13:30 | Bowel Imaging: How to Incorporate DWI in My Protocol |
| Keith Wan-Hang Chiu |
| 13:00 | Proton MRI of the Lung |
| Simon Veldhoen |
| 13:30 | Hyperpolarized 129Xe MRI of the Lung - you can do it |
| Jim Wild |
| 13:00 | Abbreviated Prostate MR Imaging Protocols |
| Chan Kyo Kim |
| 13:30 | Abbreviated Liver MR Protocols |
| Kartik Jhaveri |
| 13:00 | Artificial Intelligence: Fits & Spurts |
| Masoom Haider |
| 13:30 | Artificial Intelligence: Smooth Sailing |
| Silvia Chang |
| 0271 | 14:00
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Can Un-trained Networks Compete with Trained Ones for Accelerated MRI? |
| Mohammad Zalbagi Darestani1 and Reinhard Heckel1,2 | ||
1Electrical and Computer Engineering, Rice University, Houston, TX, United States, 2Electrical and Computer Engineering, Technical University of Munich, Munich, Germany |
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Convolutional Neural Networks (CNNs) are highly effective tools for image reconstruction problems. Typically, CNNs are trained on large amounts of images, but, perhaps surprisingly, even without any training data, CNNs such as the Deep Image Prior and Deep Decoder achieve excellent imaging performance. Here, we build on those works by proposing an un-trained CNN for accelerated MRI along with performance-enhancing steps including enforcing data-consistency and combining multiple reconstructions. We show that the resulting method i) achieves reconstruction performance almost on par with baseline as well as state-of-the-art trained CNNs, but without any training, and ii) significantly outperforms competing sparsity-based approaches. |
| 0272
|
14:00
|
Learning data consistency for MR dynamic imaging |
| Jing Cheng1, Wenqi Huang1, Zhuoxu Cui1, Ziwen Ke1, Leslie Ying2, Haifeng Wang1, Yanjie Zhu1, and Dong Liang1 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University at Buffalo, The State University of New York, Buffalo, Buffalo, NY, United States |
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Existing deep learning-based methods for MR reconstruction employ deep networks to exploit the prior information and integrate the prior knowledge into the reconstruction under the explicit constraint of data consistency, without considering the real distribution of the noise. In this work, we propose a new DL-based approach termed Learned DC that implicitly learns the data consistency with deep networks, corresponding to the actual probability distribution of system noise. We evaluated the proposed approach with highly undersampled dynamic cardiac cine data. Experimental results demonstrate the superior performance of the Learned DC. |
| 0273 | 14:00
|
eRAKI: Fast Robust Artificial neural networks for K‐space Interpolation (RAKI) with Coil Combination and Joint Reconstruction |
| Heng Yu1, Zijing Dong2,3, Yamin Arefeen2, Congyu Liao4, Kawin Setsompop4,5, and Berkin Bilgic3,6,7 | ||
1Department of Automation, Tsinghua University, Beijing, China, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 4Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 5Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 6Harvard Medical School, Boston, MA, United States, 7Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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RAKI can perform database-free MRI reconstruction by training models using only auto-calibration signal (ACS) from each specific scan. As it trains a separate model for each individual coil, learning and inference with RAKI can be computationally prohibitive, particularly for large 3D datasets. In this abstract, we accelerate RAKI by more than 200 times by directly learning a coil-combined target and further improve the reconstruction performance using joint reconstruction across multiple echoes together with an elliptical-CAIPI sampling approach. We further deploy these improvements in quantitative imaging and rapidly obtain T2 and T2* parameter maps from a fast EPTI scan. |
| 0274
|
14:00
|
Compressed Sensing MRI Revisited: Optimizing $$$\ell_{1}$$$-Wavelet Reconstruction with Modern Data Science Tools |
| Hongyi Gu1,2, Burhaneddin Yaman2,3, Kamil Ugurbil2, Steen Moeller2, and Mehmet Akcakaya2,3 | ||
1Electrical Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for magnetic resonance research, Minneapolis, MN, United States, 3University of Minnesota, Minneapolis, MN, United States |
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Deep learning (DL) has shown great promise in improving the reconstruction quality of accelerated MRI. These methods are shown to outperform conventional methods, such as parallel imaging and compressed sensing (CS). However, in most comparisons, CS is implemented with ~2-3 empirically-tuned hyperparameters. On the other hand, DL methods enjoy a plethora of advanced data science tools. In this work, we revisit l1 -regularized CS using these modern tools. Using an unrolled ADMM approach, we show that classical l1-wavelet CS can achieve comparable quality to DL reconstructions, with only 116 parameters compared to hundreds of thousands for the DL approaches. |
| 0275 | 14:00
|
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge |
| Zaccharie Ramzi1,2,3, Jean-Luc Starck2, and Philippe Ciuciu1,3 | ||
1Neurospin, Gif-Sur-Yvette, France, 2Cosmostat team, CEA, Gif-Sur-Yvette, France, 3Parietal team, Inria Saclay, Gif-Sur-Yvette, France |
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We present a new neural network, the XPDNet, for MRI reconstruction from periodically under-sampled multi-coil data. We inform the design of this network by taking best practices from MRI reconstruction and computer vision. We show that this network can achieve state-of-the-art reconstruction results, as shown by its ranking of second in the fastMRI 2020 challenge. |
| 0276 | 14:00
|
Estimating Uncertainty in Deep Learning MRI Reconstruction using a Pixel Classification Image Reconstruction Framework |
| Kamlesh Pawar1,2, Gary F Egan1,2,3, and Zhaolin Chen1,4 | ||
1Monash Biomedical Imaging, Monash University, Melbourne, Australia, 2School of Psychological Sciences, Monash University, Melbourne, Australia, 3ARC Centre of Excellence for Integrative Brain Function, Monash University, Melbourne, Australia, 4Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia |
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Data-driven deep learning (DL) image reconstruction from undersampled data has become a mainstream research area in MR image reconstruction. The generalization of the model on unseen data and out of sample data distribution is still a concern for the adoption of the DL reconstruction. In this work, we present a method of risk assessment in DL MR image reconstruction by generating an uncertainty map along with the reconstructed image. The proposed method re-casts image reconstruction as a classification problem and the probability of each voxel intensity in the reconstructed image can be used to efficiently estimate its uncertainty. |
| 0277 | 14:00
|
DSLR+: Enhancing deep subspace learning reconstruction for high-dimensional MRI |
| Christopher Michael Sandino1, Frank Ong2, Ke Wang3, Michael Lustig3, and Shreyas Vasanawala2 | ||
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States |
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Unrolled neural networks (UNNs) have enabled state-of-the-art reconstruction of dynamic MRI data, however, they remain limited by GPU memory hindering applications to high-resolution, high-dimensional imaging. Previously, we proposed a deep subspace learning reconstruction (DSLR) method to reconstruct low-rank representations of dynamic imaging data. In this work, we present DSLR+, which improves upon DSLR by leveraging a locally low-rank model and a more accurate data consistency module. We demonstrate improvements over state-of-the-art UNNs with respect to 2D cardiac cine image quality and reconstruction memory footprint, which is greatly reduced by reconstructing compressed representations of the data instead of the data itself. |
| 0278 | 14:00
|
Anomaly-aware multi-contrast deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI - a feasibility study |
| Srivathsa Pasumarthi1, Enhao Gong1, Greg Zaharchuk1, and Tao Zhang1 | ||
1Subtle Medical Inc., Menlo Park, CA, United States |
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Deep learning (DL) has recently been proven to be effective in addressing the safety concerns of Gadolinium-based Contrast Agents (GBCAs). Recent studies have shown that DL-based algorithms are able to reconstruct contrast-enhanced MRI images with only a fraction of the standard dose. This work investigates the feasibility of improving the performance of such DL algorithms using multi-contrast MRI data, combined with an unsupervised anomaly detection based attention mechanism. |
| 0279 | 14:00
|
Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction |
| Anish Lahiri1, Guanhua Wang2, Saiprasad Ravishankar3, and Jeffrey A. Fessler1 | ||
1Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Computational Mathematics, Science and Engineering, and Biomedical Engineering, Michigan State University, East Lansing, MI, United States |
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This work examines a combined supervised-unsupervised framework involving dictionary-based blind learning and deep supervised learning for MR image reconstruction from under-sampled k-space data. A major focus of the work is to investigate the possible synergy of learned features in traditional shallow reconstruction using sparsity-based priors and deep prior-based reconstruction. Specifically, we propose a framework that uses an unrolled network to refine a blind dictionary learning based reconstruction. We compare the proposed method with strictly supervised deep learning-based reconstruction approaches on several datasets of varying sizes and anatomies. |
| 0280 | 14:00
|
Joint estimation of coil sensitivities and image content using a deep image prior |
| Guanxiong Luo1, Xiaoqing Wang1, Volkert Roeloffs1, Zhengguo Tan1, and Martin Uecker1,2 | ||
1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Germany, Göttingen, Germany, 2Campus Institute Data Science (CIDAS), University of Göttingen, Germany, Göttingen, Germany |
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Parallel imaging for reduction of scanning time is now routinely used in clinical practice. The spatial information from the coils’ profiles are exploited for encoding. The nonlinear inversion reconstruction is a calibrationless parallel imaging technique, which jointly estimate coil sensitivities and image content. In this work, we demonstrate how to combine such a calibrationless parallel imaging technique with an advanced neural network based image prior for efficient MR imaging. |
| 0281 | 14:00
|
xSPEN spectroscopy: a self-navigated fast chemical shift encoded echo planar imaging acquisition |
| Ke Dai1, Hao Chen1, Hongda Shao2, Jianjun Liu2, and Zhiyong Zhang1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Departments of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China |
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xSPEN is a single-shot echo-planar imaging-based MRI approach with exceptional resilience to chemical shifts and field inhomogeneities. We introduce a time increasing (t1) evolution as chemical shift encoding to fast obtain multiple-voxel spectroscopy. The new method endows a 2D self-navigated motion correction and a unique J-decoupled spectrum by splitting the t1 evolution into τ-t1/2 and t1/2 on two sides of π pulse, which results a constant-τ J coupling evolution. We present in vitro results, demonstrating an alternative fast MRSI and increasing chemical shift separation and detection with the robustness to the in-plane motion and the unique J-decoupled spectrum capability. |
| 0282 | 14:00
|
Fast Adiabatic Spin-Echo MRSI Sequence for Whole-Brain 5mm-isotropic metabolic imaging |
| Antoine Klauser1,2, Sebastien Courvoisier1,2, Michel Kocher1,2, and François Lazeyras1,2 | ||
1Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 2CIBM Center for Biomedical Imaging, Geneva, Switzerland |
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A fast 1H 3D Adiabatic Spin-Echo (ADISE) MRSI sequence was implemented to measure metabolite distributions over the whole brain with 5mm isotropic resolution. MRSI data were measured on volunteers and compared with FID-MRSI sequence. ADISE-MRSI and FID-MRSI acquisitions were accelerated with compressed-sensing and reconstructed with a Low-Rank TGV-constrained model. |
| 0283 | 14:00
|
Diffusion-weighted Echo Planar Spectroscopic Imaging Using semi‐LASER Localization at 3T: A Pilot Study |
| Manoj Kumar Sarma1,2, Andres Saucedo3, and M. Albert Albert Thomas3 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 3Radiology, UCLA School of Medicine, Los Angeles, CA, United States |
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Diffusion-weighted spectroscopy (DW-MRS) is an excellent tool to explore the compartment specific assessment of tissue microstructure. Although there has been growing interest in DW-MRS for clinical applications, most of the studies involving human brain metabolites so far have used single-voxel methods, which limit its application to specific white matter tracts or arbitrarily selected regions of interest. There has been only a few attempts to evaluate the diffusion properties of brain metabolites with DW-MRSI. Here, we propose an echo planar-based diffusion-weighted spectroscopic imaging using semi-LASER localization and bipolar diffusion gradients. Initial results show good spectral quality and spatial localization. |
| 0284
|
14:00
|
Quantification of Human Brain Metabolites using Two-Dimensional J-Resolved Metabolite-Cycled semiLASER at 9.4 T |
| Saipavitra Murali-Manohar1,2, Tamas Borbath1,2, Andrew Martin Wright1,3, and Anke Henning1,4 | ||
1High Field Magentic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Faculty of Science, University of Tuebingen, Tuebingen, Germany, 3IMPRS for Cognitive Neuroscience, Tuebingen, Germany, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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Crowded proton spectra with severely overlapped J-coupled resonances pose a challenge in the reliable quantification of metabolites in the human brain. Several advanced techniques such as editing methods, multi-dimensional spectroscopy methods, sophisticated processing or quantification pipelines were proposed in the past. In this work, we present a two-dimensional metabolite-cycled semiLASER technique at 9.4 T with maximum echo sampling scheme. This method helps well resolve the J-coupled peaks and clearly distinguish them. 2D spectral fitting is performed using ProFit2.0 and the metabolites are quantified using internal water referencing after correcting the fitted concentration for tissue content and relaxation effects. |
| 0285
|
14:00
|
GABA measurement at 7T: short-TE or MEGA editing? |
| Song-I Lim1,2 and Lijing Xin1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland |
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The purpose of the study is to compare short-TE and MEGA editing methods and verify reproducibility of GABA measurement in the motor cortex at 7T. The measured average GABA/Cr and GABA/NAA ratios were 0.121 ± 0.034 and 0.057 ± 0.019 respectively for short-TE sSPECIAL measurement and 0.083 ± 0.014 and 0.052 ± 0.008 respectively for MEGA-sSPECIAL sequence. 6 healthy volunteers were scanned two times and average coefficient of variances were 21.2 ± 11.8 % for short-TE measurement and 4.5 ± 3.9 for MEGA-sSPECIAL sequence. |
| 0286
|
14:00
|
Using selective RF pulses in diffusion-weighted MRS for lactate diffusion measurements with minimal J-modulation |
| Eloïse Mougel1, Sophie Malaquin1, Melissa Vincent1, and Julien Valette1 | ||
1Université Paris-Saclay, Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Fontenay aux Roses, France |
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Brain lactate compartmentation is an important but debated neuroscience question. By assessing local microstructure where lactate is diffusing in, diffusion-weighted MRS has unique potential to non-invasively assess lactate compartmentation. We propose to increase lactate signal using selective pulses (SP) to cancel J-modulation. We compare lactate signal behavior in diffusion-weighted experiments performed in vivo, using either spin echo or stimulated echo sequence relying on selective pulses. We verify here that the signal increases in both cases, compared to conventional cases using broad pulses. Spin echo using SP appears the most valuable option to measure lactate diffusion at high b-values. |
| 0287
|
14:00
|
Short-TE ECLIPSE for Macromolecular-Nulled MRSI in the Human Brain |
| Chathura Kumaragamage1, Anastasia Coppoli1, Peter B Brown1, Scott McIntyre1, Terence W Nixon1, Henk M De Feyter1, Graeme Mason1, and Robin A de Graaf1 | ||
1Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center, Yale University, New Haven, CT, United States |
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An ECLIPSE-IVS based MRSI method was developed utilizing 3 ms GOIA-WURST RF pulses (BW = 15 kHz), operating at an RF amplitude B1(95%) = 0.87 kHz. The ECLIPSE-IVS method was preceded with a water suppression module incorporating an optional inversion recovery (IR) component, to achieve macromolecule-nulled acquisitions. MRSI in vivo demonstrate robust extracranial lipid suppression with reliable, artifact-free metabolic maps generated with peak integration and LCModel fitting. |
| 0288 | 14:00
|
T2* of human brain metabolites estimated from a single proton MRS acquisition |
| Chloé Najac1, Marjolein Bulk1, Hermien E. Kan1, Andrew G. Webb1, and Itamar Ronen1 | ||
1C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands |
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We propose a method to calculate T2* values of brain metabolites from a series of time-shifted datasets obtained from a single 1H magnetic resonance spectroscopy acquisition. T2* values from five brain metabolites were measured in the posterior cingulate cortex. Robust T2* values were obtained for all five metabolites, including J-coupled metabolites such as glutamate and myo-inositol, for which T2* estimation is otherwise not possible. We show in a subsequent reproducibility study that the water linewidth within the same volume can be used to account for variability in local B0 inhomogeneity and reduce the associated variability across measurements. |
| 0289 | 14:00
|
A method for high quality magnetic resonance spectroscopy of discs during normal breathing |
| Frida Johansson1,2, Helena Brisby2,3, Hanna Hebelka2,4, Maria Ljungberg1,2, and Kerstin Lagerstrand1,2 | ||
1Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 2Institute of Clinical Sciences, Gothenburg University, Gothenburg, Sweden, 3Department of Orthopaedics, Sahlgrenska University Hospital, Gothenburg, Sweden, 4Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden |
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This study aimed to evaluate the effect of respiratory motion on disc MRS and propose an MRS-method that improves the signal-to-noise-ratio. Findings showed that the phase signal of the disc changes substantially between expiration and inspiration. With the proposed postprocessing method, all spectra gave a higher signal-to-noise-ratio (largest gain=30%). Present study shows that respiratory motion affects the disc phase signal and should be taken into consideration when evaluating the disc using MRS. The proposed method improved the quality of the MRS-spectrum and, thus, showed feasibility in measuring the molecular disc content non-invasively during normal breathing. |
| 0290
|
14:00
|
NIfTI MRS: A standard format for spectroscopic data |
| William T Clarke1, Tiffany Bell2,3,4, Uzay Emir5,6, Mark Mikkelsen7,8, Georg Oeltzschner7,8, Benjamin C Rowland9, Amirmohammad Shamaei10,11, Brian J Soher12, Sofie Tapper7,8, and Martin Wilson13 | ||
1Wellcome Centre for Integrative Neuroimaging, NDCN, University of Oxford, Oxford, United Kingdom, 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, 5School of Health Sciences, Purdue University, West Lafayette, IN, United States, 6Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 7Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 8F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 9Division of Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 10Institute of Scientific Instruments of the CAS, Brno, Czech Republic, 11Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic, 12Center for Advanced MR Development, Department of Radiology, Duke University Medical Center, Durham, NC, United States, 13Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom |
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We propose a flexible data format for the storage of multidimensional MRS data. The lack of a single widely used data format in MRS hinders widespread use, consistent analyses, and open dissemination of data. Here, we adapt the widely adopted NIfTI format to store MRS data, extending NIfTI to include the additional meta-data required for MRS data interpretation. We present a pipeline for end-to-end analysis of MRS data and an open-source conversion tool. The community is encouraged to contribute to the format. |
| 0291 | 14:00
|
Multi-modal, multi-resolution imaging of a single mouse brain |
| Sean Foxley1, Vandana Sampathkumar1, Vincent De Andrade2, Scott Trinkle1, Anstasia Sorokina1, Katrina Norwood1, Patrick La Riviere1, and Narayanan Kasthuri1 | ||
1University of Chicago, Chicago, IL, United States, 2Advanced Photon Source, Argonne National Laboratory, Lamont, IL, United States |
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Mammalian neurons operate at length scales spanning many orders of magnitude; micron-scale-diameter myelinated axons project millimeters across brain regions, forming nanometer scale synapses. Capturing these disparately sized anatomical features requires imaging samples with multiple independent imaging modalities. Directly correlating features across modalities requires that all imaging is performed in the same brain. Here, we imaged the same postmortem mouse brain over five orders of spatial resolution using MRI, synchrotron x-ray tomography (μCT), and electron microscopy. This pipeline provides an unprecedented look across a single brain's multi-scaled organization and a vehicle for studying the brain’s multi-scaled pathologies. |
| 0292
|
14:00
|
Pre- and post-neonatal in vivo DTI on mice: Targeting brain microstructures at 15.2T |
| Odélia Jacqueline Chitrit1, Qingjia Bao1, Maxime Yon1, and Lucio Frydman1 | ||
1Department of Chemical and Biological Physics, Weizmann institute of Science, Rehovot, Israel |
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DTI is a well-established technique for mapping brain microstructure. Brain’s microstructural features derive from white matter and change over the course of maturation; hence methods that can acquire DTI in utero and immediately post-partum, are of interest. The present study explores the use of a customized 3D phase-encoded Spatiotemporal Encoding (SPEN) MRI approach that can be used to overcome the motional and susceptibility challenges arising in such instances, delivering quality DTI volumetric data at 15.2T. Maps of ADC, MDD and FA could thus be collected for mice fetal brains in utero, as well as within the first week post-partum. |
| 0293 | 14:00
|
Measuring apparent water exchange using Filter Exchange Imaging and diffusion time dependent kurtosis imaging in post-mortem mouse brains |
| Chenyang Li1,2, Els Fieremans1, Dmitry S. Novikov1, Yulin Ge1, and Jiangyang Zhang1 | ||
1Department of Radiology, Center for Biomedical Imaging, 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 |
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Filter exchange imaging (FEXI) and diffusion time dependent diffusion kurtosis imaging (DKI(t)) are two techniques that are sensitive to water exchange between tissue compartments. However, built on different theoretical frameworks and models, many questions remain on the interpretations of FEXI and (DKI(t)) results in the brain. In this study, we measured water exchange effects in post-mortem mouse brains using FEXI and (DKI(t)) and observed a correlation between them, suggesting that they are sensitive to similar exchange processes. |
| 0294
|
14:00
|
Exploring the epileptic rat hippocampus using oscillating gradients, 3D electron microscopy and Monte Carlo simulations |
| Jonathan Scharff Nielsen1, Alejandra Sierra2, Ilya Belevich3, Eija Jokitalo3, and Manisha Aggarwal1 | ||
1Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2A.I. Virtanen Institute of Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 3Institute of Biotechnology, University of Helsinki, Helsinki, Finland |
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Oscillating gradient spin-echo (OGSE) diffusion MRI (dMRI) is sensitive to small-scale restrictions and may provide a sensitive probe of gray matter microstructural changes in brain disorders such as temporal lobe epilepsy. However, relating the OGSE spectral changes to specific microstructural features is a difficult challenge. Here, we combined OGSE-dMRI with serial block-face electron microscopy volumes of healthy and status epilepticus exhibiting rat hippocampi. From tissue parameters extracted from these volumes, we generated 3D digital substrates for Monte-Carlo random-walk simulations, which allowed us to elucidate the relative contributions of underlying gray matter microstructural features to the OGSE measurements. |
| 0295 | 14:00
|
Towards differentiation of white matter pathologies through B-tensor encoding. |
| Ricardo Rios-Carrillo1, Ricardo Coronado-Leija2, Hiram Luna-Munguía1, Alonso Ramírez-Manzanares3, and Luis Concha1 | ||
1Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico, 2Radiology, New York University School of Medicine, New York, NY, United States, 3Centro de Investigación en Matemáticas, Guanajuato, Mexico |
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This work explores the ability of B-tensor encoding methods to disentangle axonal degeneration and inflammation through DW-MRI. In particular, we tested Q-space trajectory encoding and diffusion tensor distribution imaging. Both methods clearly differentiated between damaged and intact nerves, and showed moderately different diffusion characteristics between the two experimental conditions. |
| 0296
|
14:00
|
g-Ratio in the common marmoset: a comparison across different myelin-sensitive MRI metrics with b-tensor encoded diffusion |
| Christopher D Rowley1,2, Ilana R Leppert2, Jennifer SW Campbell2, Filip Szczepankiewicz3,4, Stephen Nuara5, Markus Nilsson3, G Bruce Pike6, and Christine L Tardif1,2,7 | ||
1Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 3Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden, 4Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 5Comparative Medicine and Animal Resources Center, McGill University, Montreal, QC, Canada, 6Hotchkiss Brain Institute and Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, AB, Canada, 7Department of Biomedical Engineering, McGill University, Montreal, QC, Canada |
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The g-ratio quantifies the relative thickness of the myelin sheath and can be estimated from myelin volume fraction (MVF) and axonal volume fraction (AVF) maps. The best MRI methods for deriving these metrics are still under investigation. This study examines the use of inhomogeneous magnetization transfer (ihMTsat) along with other myelin-sensitive metrics, and diffusion MRI with b-tensor encoding for calculating the g-ratio in a marmoset brain. We find that while the different myelin-sensitive metrics and diffusion microstructural models produce different MVF and AVF maps, the g-ratio values follow similar trends across the white matter. |
| 0297 | 14:00
|
The spectral tilt plot (STP) – new microstructure signatures from spectrally anisotropic b-tensor encoding |
| Samo Lasic1,2, Filip Szczepankiewicz3, Markus Nilsson3, Tim B. Dyrby1,4, and Henrik Lundell1 | ||
1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark, 2Random Walk Imaging, Lund, Sweden, 3Clinical Sciences, Lund University, Lund, Sweden, 4Department of Applied Mathematics and Computer Science, Technical University of Denmark, Copenhagen, Denmark |
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Tensor-valued diffusion encoding can probe diffusion tensor distribution unconfounded by orientation and heterogeneity. Since different cell morphologies may yield similar apparent diffusion tensors, inferring specific microstructural features remains challenging. Further information can be accessed by considering time-dependent diffusion. We show that rotational dependence of spherical tensor encoding, caused by spectral anisotropy, can be prominent on a preclinical scanner. The presented analysis may reveal different microstructural signatures depending on cell shape, which could be relevant for tissue modelling. Our results on fixed monkey brain suggest that brain cells exhibit anisotropic restricted diffusion along all directions, unlike in the cylindrical diffusion model. |
| 0298
|
14:00
|
Tensor-valued Diffusion MRI Shows Elevated Microscopic Anisotropy and Tissue Heterogeneity in White and Grey Matter of Acute Ischemic Stroke |
| Mi Zhou1, Robert Stobbe1, Filip Szczepankiewicz2,3, Mar Lloret4, Brian Buck4, Paige Fairall4, Ken Butcher4, Ashfaq Shuaib4, Derek Emery5, Markus Nilsson2, Carl-Fredrik Westin3, and Christian Beaulieu1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Clinical Sciences Lund, Lund University, Lund, Sweden, 3Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 4Neurology, University of Alberta, Edmonton, AB, Canada, 5Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada |
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Novel diffusion encoding modalities, such as tensor-valued encoding, can disentangle the effects of intra-voxel orientation dispersion and diffusion anisotropy, thereby resolving the fiber density from tissue heterogeneity. A rapid 2.5-minute protocol for tensor-valued diffusion MRI was applied for the first time to acute stroke. Microscopic anisotropy (µFA and MKA) and tissue heterogeneity (MKI) were higher in lesions of white and grey matter, in contrast to reduced DTI-derived fractional anisotropy at the voxel level. Elevated microscopic anisotropy in acute stroke may reflect increased trapped water in swollen axons, a measure independent of tract orientation dispersion. |
| 0299
|
14:00
|
Column-based cortical depth analysis of the diffusion anisotropy in submillimeter whole-brain DTI of the human gray matter |
| Yixin Ma1,2, Trong-Kha Truong1,2, Iain P. Bruce1, Chun-Hung Yeh3, Jeffrey R. Petrella1,2, and Allen W. Song1,2 | ||
1Brain Imaging and Analysis Center, Duke University, Durham, NC, United States, 2Medical Physics Graduate Program, Duke University, Durham, NC, United States, 3Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan |
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High-resolution diffusion tensor imaging (DTI) can noninvasively probe the microstructural integrity of cortical gray matter in vivo. We propose a column-based method that samples submillimeter isotropic whole-brain DTI data along radially oriented cortical columns to achieve a quantitative analysis of the fractional anisotropy and radiality index dependence on the cortical depth, curvature, and brain regions across the whole brain. This method is robust across repeated scans and healthy subjects, and can capture characteristic diffusion anisotropy and radiality patterns in the cortical gray matter, potentially providing quantitative biomarkers for various neurological disorders. |
| 0300 | 14:00
|
Ex-vivo whole human brain high b-value diffusion MRI at 550 micron with a 3T Connectom scanner |
| Gabriel Ramos-Llordén1, Chiara Maffei1, Qiyuan Tian1, Berkin Bilgic1,2, Thomas Witzel3, Boris Keil4, Anatasia Yendiki1, and Susie Huang1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Masachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Q Bio Inc, San Carlos, CA, United States, 4Institute of Medical Physics and Radiation Protection, Mittelhessen University of Applied Sciences, Giessen, Germany |
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We demonstrate high quality, high b-value diffusion MRI (up to 10 000 s / mm2) in an ex-vivo human brain at ultra-high spatial resolution (550 micrometer). The high signal quality allows us to obtain high diffusion contrast and delineate fine structures that cannot be resolved within in vivo acquisitions. We present DTI and DKI results of the whole brain, show diffusivity on the primary somatosensory, auditory, and visual cortex areas as well as illustrate tractography of the hippocampus and thalamus structures, revealing internal connectivity at a high level of detail. |
| 0301
|
14:00
|
Does the internal carotid artery attenuate blood-flow pulsatility in small vessel disease? A 7T 4D-flow MRI study. |
| Rick J. van Tuijl1, Ynte M. Ruigrok2, Irene C. van der Schaaf1, Lennart J. Geurts1, Gabriël J. E. Rinkel2, Birgitta K. Velthuis1, and Jaco J. M. Zwanenburg1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology, UMC Utrecht, Utrecht, Netherlands |
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We studied blood-flow pulsatility and arterial distensibility along the internal carotid artery (ICA) in cerebral small vessel disease (CSVD) patients and healthy controls using 7Tesla MRI. 4D-flow measurements (0.8 mm isotropic resolution), were analyzed in 17 patients with lacunar infarcts or deep intracerebral hemorrhage (CSVD) and 17 age and sex matched healthy controls. Pulsatility was significantly higher and arterial distensibility significantly lower in CSVD patients compared to controls. Velocity pulsatility was attenuated between the extracranial ICA and the circle of Willis in controls, but increased in CSVD. Higher calcification in CSVD patients correlated with reduced distensibility and increased velocity pulsatility. |
| 0302
|
14:00
|
Phase-contrast MR angiography at 7 Tesla revealed reduced lenticulostriate artery blood flow velocity in patients with small vessel disease |
| Yue Wu1,2,3, Chengyue Sun4, Qingle Kong5, Zhixin Li1,2,3, Dongbiao Sun1,2,3, Chen Ling4, Jing An6, Rong Xue1,2,3, Yan Zhuo1,2,3, Yun Yuan4, and Zihao Zhang1,2,3 | ||
1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China, 3University of Chinese Academy of Sciences, Beijing, China, 4Department of Neurology, Peking University First Hospital, Beijing, China, 5MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 6Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China |
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In this study, we demonstrated a technique that could non-invasively quantify lenticulostriate artery (LSA) flow velocities in cerebral small vessel disease (CSVD). With phase-contrast magnetic resonance angiography (PC-MRA) at 7T, LSA blood flow velocities were detected in patients with CADASIL (a hereditary CSVD). LSA flow velocities decreased in patients compared with healthy individuals. We also found good associations between velocities and clinical characteristics among patients with CADASIL. These results suggest that PC-MRA at 7T is a valuable technique to assess small arterial dysfunction in patients with CSVD. |
| 0303 | 14:00
|
Background Phase Error Reduction in Phase-Contrast MRI based on Acoustic Noise Recordings |
| Hannes Dillinger1, Eva Peper1, Christian Guenthner1, and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland |
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This work identifies mechanical resonances of the gradient coil system as a source of increased spatially linear and quadratic phase offsets. Mechanical resonance frequencies were identified by mobile phone audio recordings from inside the scanner room and compared to the gradient modulation transfer function. Results demonstrate that optimal TE reduces phase ramps by a factor of 15 and optimal TR removes the spatially quadratic phase offset. |
| 0304
|
14:00
|
Correcting vs resolving respiratory motion in accelerated free-running whole-heart radial flow MRI using focused navigation (fNAV) |
| Mariana Baginha da Lança Falcão1, Giulia M. C. Rossi1, Liliana Ma2,3, John Heerfordt1,4, Davide Piccini1,4, Jérôme Yerly1,5, Milan Prša6, Tobias Rutz7, Estelle Tenisch1, Michael Markl2,3, Matthias Stuber1,5, and Christopher W. Roy1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 4Advanced clinical imaging technology, Siemens Healthcare AG, Lausanne, Switzerland, 5Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 6Woman-Mother-Child Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 7Service of Cardiology, Centre de resonance magnétique cardiaque (CRMC), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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In this work, a free-running radial whole-heart flow sequence was acquired in five congenital heart disease patients and images were reconstructed using a) a previously developed 5D flow framework for respiratory and cardiac resolved images, and b) a novel framework for respiratory motion corrected and cardiac resolved 4D flow (fNAV). Image and flow differences were measured across a range of acceleration factors. We showed that the free-running acquisition, which is already undersampled, can be even further accelerated with less signal degradation if it is reconstructed with fNAV 4D flow, compared to using 5D flow. |
| 0305 | 14:00
|
Impact of respiratory Gating on hemodynamic parameters from 4D flow MRI |
| Esteban Jorge Denecken-Campaña1,2,3, Julio Sotelo1,3,4, Cristobal Arrieta1,3, Pablo Irarrazaval1,2,3, Cristián Tejos1,2,3, Marcelo E. Andia1,3,5, and Sergio Uribe1,3,5 | ||
1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Electrical Engineering Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3ANID – Millennium Science Initiative Program – Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile, 5Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Hemodynamic parameters from 4D flow datasets derived in the last years have shown promising diagnostic value in different cardiovascular pathologies. However, we know little about the behavior of these parameters when the 4D flow data is corrupted by respiratory motion. The purpose of this work is to perform a quantitative comparison between hemodynamic parameters computed from 4D flow Cardiac MRI with and without respiratory self-gating. We found significant variability of the hemodynamic parameters in the ascending aorta of healthy volunteers when comparing both methods. Hemodynamic parameters measured with self-gating acquisition showed statistically significant differences compared to those measured without self-gating. |
| 0306
|
14:00
|
Novel Stochastic 4D Flow Signatures of time-resolved 3D left atrial flow-field alterations in atrial fibrillation |
| Thara Nallamothu1,2, Amanda L. DiCarlo1, Daniel C. Lee3, Daniel Kim1, Rishi Arora3, Michael Markl1,2, Phillip Greenland4, Rod Passman3, and Mohammed S.M. Elbaz1 | ||
1Radiology, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Chicago, IL, United States, 3Medicine (Cardiology), Northwestern University, Chicago, IL, United States, 4Preventative Medicine, Northwestern University, Chicago, IL, United States |
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4D Flow MRI studies have shown an association between atrial fibrillation (AF) with altered left atrial (LA) blood flow. Nevertheless, LA flow dynamics changes can be complex (vortex flow, jets, stagnations, etc.). Existing quantitative 4D flow metrics only characterize parts of the overall complex interacting LA flow dynamics. Here, we propose a novel stochastic 4D Flow signature technique to quantify the unique composition of normal and altered LA flow dynamics utilizing the entire 4D three-directional velocity-field from 4D Flow MRI. We demonstrate the excellent reproducibility and the feasibility of the technique in quantifying distinctly altered LA signatures in AF patients. |
| 0307 | 14:00
|
Insight of right ventricular dysfunction and impaired efficiency via 4D flow CMR in repaired tetralogy of Fallot |
| Xiaodan Zhao1, Liwei Hu2, Ru-San Tan1,3, Ping Chai4, Marielle Fortier3,5, Rong Zhen Ouyang2, Shuo Zhang6, Wen Ruan1, Ting Ting Low4, Shuang Leng1, Jun-Mei Zhang1,3, Bryant Jennifer1, Lynette Teo4, Rob van der Geest7, Teng Hong Tan3,5, James W. Yip4, Ju Le Tan1,3, Yumin Zhong2, and Liang Zhong1,3 | ||
1National Heart Centre Singapore, Singapore, Singapore, 2Shanghai Children’s Medical Centre, Shanghai, China, 3Duke-NUS Medical School, Singapore, Singapore, 4National University Hospital Singapore, Singapore, Singapore, 5KK Women’s and Children’s Hospital, Singapore, Singapore, 6Philips Germany, Humburg, Germany, 7Leiden University Medical Center, Leiden, Netherlands |
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4D flow CMR enables qualitative and quantitative assessment of intra-cardiac flow. Kinetic energy (KE) and pathline-derived four flow components for left ventricular (LV) and right ventricular (RV) were analyzed and compared in repaired tetralogy of Fallot (rTOF) and age-matched controls. For RV, rTOF had increased peak systolic, systolic and peak E-wave KE normalized to end-diastolic volume while decreased efficiency index. RV direct flow decreased while RV residual volume increased from controls to rTOF with preserved RVEF (rTOFpEF) to rTOF with reduced RVEF. ROC analysis showed RV direct flow and efficiency index were sensitive markers to detect RV dysfunction in rTOFpEF. |
| 0308
|
14:00
|
Sildenafil Administration Improves Right Ventricular Function on 4D Flow MRI in Young Adults Born Premature |
| Philip A Corrado1, Gregory P Barton2, Christopher J François3, Oliver Wieben1, and Kara N Goss2 | ||
1University of Wisconsin-Madison, Madison, WI, United States, 2University of Texas Southwestern, Dallas, TX, United States, 3Mayo Clinic, Rochester, MN, United States |
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We used 4D flow MRI before and during acute pharmacological intervention to reduce either afterload or heart rate in young adults born very to extremely premature, finding improved overall cardiac function and shifted intraventricular flow in the RV towards direct flow after RV afterload reduction with sildenafil. We interpret these findings to mean that intrinsic morphologic differences as well as increased RV afterload are stronger drivers of cardiac dysfunction in the preterm heart than decreased filling time. This study design may serve as a blueprint for future studies investigating the effects of acute hemodynamic pharmacological interventions with 4D flow MRI. |
| 0309
|
14:00
|
Abnormal aortic kinetic energy and viscous energy loss in patients with repaired tetralogy of Fallot |
| Yu-Ru Yang1, Meng-Chu Chang1, Ming-Ting Wu2, Ken-Pen Weng3, and Hsu-Hsia Peng1 | ||
1Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, 3Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan |
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We aim to evaluate aortic kinetic energy (KE) and viscous energy loss (EL) in repaired tetralogy of Fallot (rTOF) patients with different degrees of aortic regurgitation fraction (RF). The rTOF1 group (RF<2%) demonstrated decreased systolic KE in arch and descending aorta, suggesting the mild altered aortic flow. The rTOF2 group (RF≧2%) presented significantly elevated RF in arch and descending aorta, increased systolic KE from distal ascending aorta to proximal descending aorta, and decreased systolic EL in ascending aorta and distal arch. In conclusion, the systolic KE may provide earlier evidence of abnormal aortic flow before serious aortic regurgitation. |
| 0310 | 14:00
|
Abnormal aortic hemodynamics at predilection sites for dissection in Marfan patients: a 4D flow study |
| Pim van Ooij1, Mitzi van Andel2, Lukas M. Gottwald1, Aart J Nederveen1, and Maarten Groenink1 | ||
1Radiology & Nuclear Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, Netherlands, 2Cardiology, Amsterdam University Medical Centers, location AMC, Amsterdam, Netherlands |
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In this study we use 4D flow MRI techniques to investigate abnormal magnitude and direction of blood flow velocity and wall shear stress in patients with Marfan syndrome, a congenital disease that may cause aortic dissection. We found that patients that underwent aortic root repair have significantly more abnormal hemodynamics and that abnormally elevated hemodynamics were associated with blood pressure chracteristics. Abnormally directed hemodynamics were not associated with any patient characteristics, but showed a distinct regional increase at the inner proximal descending aorta, awell-know predilection site for aortic dissection in Marfan patients. |
| 0311 | 14:00
|
Diagnostic Performance of Multiparametric Models Using Fat Fraction, Liver Stiffness, and T1 for Detection of Nonalcoholic Steatohepatitis |
| Xin Lu1, Jiahui Li1, Zheng Zhu1, Alina Allen2, Taofic Mounajjed3, Kevin J Glaser1, Jinhang Gao 4, Jingbiao Chen1, Jie Chen1, Safa Hoodeshenas1, Armando Manduca1, Richard L Ehman1, and Meng Yin1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3Anatomic Pathology, Mayo Clinic, Rochester, MN, United States, 4Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States |
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NASH is traditionally diagnosed by liver biopsy, limited by subjective scoring and sampling error. This motivates identifying imaging-based biomarkers that might quantitatively characterize the pathophysiologic features of NASH. This prospective study established a streamlined imaging protocol for acquiring three candidate biomarkers ( fat fraction, liver stiffness, and T1 ) in a cohort of 66 patients with suspected NASH who underwent biopsy. The results indicate that a two-parameter model using fat fraction and liver stiffness has superior accuracy in diagnosing NASH, including ones that include the T1 relaxation time, which was found to have high collinearity with the fat fraction. |
| 0312
|
14:00
|
Physics-informed deep neural network for tri-exponential intravoxel incoherent motion fitting in non-alcoholic fatty liver disease. |
| Marian A. Troelstra1, Julia J. Witjes2, Anne-Marieke van Dijk2, Anne Linde Mak2, Jurgen H. Runge1, Joanne Verheij3, Max Nieuwdorp2, Adriaan G. Holleboom2, Aart J. Nederveen1, and Oliver J. Gurney-Champion1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, Netherlands, 2Department of Internal and Vascular Medicine, Amsterdam UMC, location AMC, Amsterdam, Netherlands, 3Department of Pathology, Amsterdam UMC, location AMC, Amsterdam, Netherlands |
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In this study we have developed an unsupervised physics-informed deep neural network (IVIM3-NET) to fit a tri-exponential model to intravoxel incoherent motion (IVIM) data from 35 non-alcoholic fatty liver disease (NAFLD) patients. Diagnostic performance was compared to a tri-exponential least squares (LSQ) fit. Visually, IVIM3-NET showed high-quality parameter maps with less noise than the LSQ-fit. IVIM3-NET showed slightly higher correlations between fit parameters and histology and more significant differences between levels of fibrosis and inflammation than the LSQ-fit. Correlations between f2 and fibrosis and inflammation grade, potentially highlighting NAFLD-induced vascular changes, warrant further investigation of the IVIM3-NET in NAFLD patients. |
| 0313 | 14:00
|
High-risk Esophageal Varices Screening with MR Elastography in Patients with Cirrhosis |
| Safa Hoodeshenas1, Mahmoud Adam Tahboub Amawi2, Jingbiao Chen1,3, Nimish Thakral2, Kevin J. Glaser1, Bogdan Dzyubak1, Jiahui Li1, Xin Lu1, Jie Chen1, Zheng Zhu1, Patrick S. Kamath2, Vijay Shah2, Richard L. Ehman1, Sudhakar K. Venkatesh1, Douglas A. Simonetto2, and Meng Yin1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China |
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In patients with end-stage chronic liver diseases, esophageal varices can be a life-threatening complication of portal hypertension because of bleeding risk. In this study, we explored the role of MR elastography (MRE) in stratifying portal hypertension severity and predicting high-risk varices by using upper gastrointestinal endoscopy as the reference standard. We concluded that a composite model including spleen size and stiffness plus liver stiffness and platelet count more accurately predicts the presence of high-risk varices, and thus could reduce unnecessary endoscopies more precisely than using liver stiffness and platelet count alone. |
| 0314
|
14:00
|
Macromolecular proton fraction mapping based on spin-lock for the non-invasive diagnosis of early stage liver fibrosis |
| Jian Hou1, Vincent Wai-Sun Wong2, Grace Lai-Hung Wong2, Baiyan Jiang1, Yi-Xiang Wang1, Anthony Wing-Hung Chan3, Winnie Chiu-Wing Chu1, and Weitian Chen1 | ||
1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 2Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, Hong Kong |
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Liver fibrosis is characterized by excessive accumulation of extracellular matrix proteins, such as collagen. Macromolecular Proton Fraction (MPF) is an indicator of the relative amount of macromolecular content. It was reported recently that MPF map can be obtained based on spin-lock (MPF-SL). In this work, we investigated the diagnostic value of MPF-SL for detecting early stage liver fibrosis on a clinical study. |
| 0315
|
14:00
|
Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network |
| Fasil Gadjimuradov1,2, Thomas Benkert2, Marcel Dominik Nickel2, and Andreas Maier1 | ||
1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany |
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Partial Fourier (PF) acquisition allows to reduce TE in single-shot echo-planar imaging in order to increase signal-to-noise ratio (SNR) in diffusion-weighted imaging (DWI). However, when applying it to motion-prone liver DWI, conventional PF reconstruction methods fail since they rely on smoothness priors of the phase. This work proposes to use an unrolled network architecture which aims to estimate a more appropriate regularization by learned recurrent convolutions. It can be shown that reconstructions produced by the network are superior in terms of quantitative measures as well as qualitative impression compared to conventional methods which tend to introduce artifacts. |
| 0316
|
14:00
|
Motion-Resolved Four-Dimensional Abdominal Diffusion-Weighted Imaging using Propeller Echo-Planar Imaging (4D-DW-Propeller-EPI) |
| lu wang1, Tian Li2, Jing Cai2, and Hing-Chiu Chang1 | ||
1Department of Diagnostic Radiology, The University of Hong Kong, HongKong, China, 2Department of Health Technology and Informatics, The Hong Kong Polytechnic University, HongKong, China |
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Motion-resolved four dimensional diffusion-weighted echo-planar imaging (4D-DW-EPI) may better characterize the respiratory-induced motion of tumor than 4D-MRI with conventional T1 and T2 image contrasts. However, the existing 4D-DW-EPI technique can only provide limited geometric accuracy and low sampling rate over respiratory cycles. Thus, we proposed an advanced 4D-DW-Propeller-EPI technique with golden angle acquisition for improving the geometric accuracy and data sampling rate. Simulation study and in-vivo study were conducted to evaluate the performance of 4D-DW-Propeller-EPI. Our results demonstrate that 4D-DW-Propeller-EPI showed superior image quality to 4D-DW-EPI and had a potential for the application of MRI-guided abdominal radiotherapy. |
| 0317 | 14:00
|
Improvement of Left Hepatic Lobe Diffusion Weighted Imaging using Double Triggering with Motion Sensitive CINE Imaging |
| Hiroshi Hamano1, Masami Yoneyama1, Akihiro Nishie2, Keisuke Ishimatsu2, Chiaki Tokunaga3, Hiroaki Watanuki3, Tatsuhiro Wada3, Isao Shiina4, Michinobu Nagao5, Yasuhiro Goto4, Kazuo Kodaira4, Yutaka Hamatani4, Takumi Ogawa4, Takashi Namiki1, and Kenji Iinuma1 | ||
1Philips Japan, Tokyo, Japan, 2Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan, 4Department of Radiological Services, Tokyo Women’s Medical University, Tokyo, Japan, 5Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan |
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In the Liver DWI, the respiratory and cardiac motion induce signal loss and artificially increase ADC of the left hepatic lobe. On the other hand, Motion-Sensitive (MoSe) CINE imaging, based on T2FFE (also known as PSIF) sequence, could directly visualize the motion-insensitive cardiac timing thanks to that of motion sensitivity. We assumed that it is useful for determining optimal cardiac trigger delay (TD) in the liver DWI. We demonstrated that the respiratory and cardiac trigged DWI with optimal cardiac TD using MoSe CINE imaging leads to the robustness of image quality in DWI and ADC of the left hepatic lobe. |
| 0318 | 14:00
|
Repeatability of Liver Apparent Diffusion Coefficient Measurement Using Free-Breathing Diffusion-Weighted Propeller Echo-Planar Imaging |
| Hing-Chiu Chang1, Lu Wang1, Guangtao Chen1, Liyuan Liang1, Keith Wan-Hang Chiu1, Yi-Jui Liu2, Chun-Jung Juan3,4,5, and Hsiao-Wen Chung6,7 | ||
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, 3Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan, 4Department of Radiology, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, 5Department of Medical Imaging, China Medical University Hospital, Taichung, Taiwan, 6Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, 7Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan |
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The current limitations of liver DWI mainly relate to the image quality and the repeatability/reproducibility of ADC measurement using single-shot DW echo-planar imaging (DW-EPI). The discrepancy of ADC measurement can substantially cause difficulty in cross-sectional or longitudinal liver DW-EPI. A preliminary study reported that a free-breathing liver DW-Propeller-EPI technique can provide superior image quality to conventional liver DW-EPI methods. In this study, we further improved the robustness of free-breathing liver DW-Propeller-EPI by incorporating velocity-compensation (VC) diffusion gradient into data acquisition, and then evaluated the repeatability of liver ADC measurement for free-breathing DW-Propeller-EPI by comparing to three routine liver DW-EPI methods. |
| 0319
|
14:00
|
Characterization of Arterial and Portal Venous Contributions to Metabolic Imaging of the Human Liver Using Hyperpolarized 13C-pyruvate MRI |
| Philip Meng-en Lee1, Jeremy W Gordon1, Zhen J Wang1, Zihan Zhu1, Hsin-Yu Chen1, Pamela N Munster2, Rahul Aggarwal2, Daniel B Vigneron1, and Michael A Ohliger1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Medicine, University of California, San Francisco, San Francisco, CA, United States |
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Analysis of the delivery and metabolism of hyperpolarized 13C pyruvate within the liver is complicated by the organ’s unique dual blood supply. Distinguishing the hepatic arterial and portal venous contributions of pyruvate delivery would improve real-time acquisition triggering and kinetic modeling. Three healthy subjects and two metastatic cancer subjects underwent hyperpolarized 13C MRI on a clinical 3 T MR scanner. We observed differential arrival of [1-13C]pyruvate signal in the aorta, inferior vena cava, portal vein, healthy liver, and metastases matching physiologic expectations. Consistencies were observed within subject groups, which is crucial for accurate timing and modelling of metabolic hyperpolarized signals. |
| 0320 | 14:00
|
Intraindividual comparison of stack-of-stars acquisition for arterial phase imaging with and without breath-holding on dynamic MRI of the liver |
| Shintaro Ichikawa1, Utaroh Motosugi2, Tetsuya Wakayama3, Satoshi Funayama1, Daiki Tamada1, Sagar Mandava4, Ty A Cashen5, and Hiroshi Onishi1 | ||
1Department of Radiology, University of Yamanashi, Chuo, Japan, 2Kofu Kyoritsu Hospital, Kofu, Japan, 3GE Healthcare, Hino, Japan, 4GE Healthcare, Atlanta, GA, United States, 5GE Healthcare, Madison, WI, United States |
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We performed intra-individual comparison of arterial phase (AP) images between differential subsampling with Cartesian ordering (DISCO) and stack-of-stars acquisition without breath-holding (DISCO-Star) on dynamic magnetic resonance imaging of the liver. Patients showing inadequate scan timing of AP in DISCO and DISCO-Star (12 s/phase) dataset were 4.9% and 21.2%, respectively. One advantage of DISCO-Star was that the adequate scan timing of AP can be obtained by using additional high frame rate reconstruction (3 s/phase) in the patient with inadequate scan timing in routine reconstruction. DISCO-Star was useful to obtain adequate AP imaging in all patients. |
14:00
|
Amyloid-Related Imaging Abnormalities: What Are They? | |
| Fabrizio Piazza1 | ||
1School of Medicine, University of Milano-Bicocca, Monza, Italy |
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This lecture aims to gain an understanding of ARIA-E and ARIA-H, including identification, risk factors, clinical relevance, management, and the theoretical and practical implications of the proposed ARIA PARADOX model. |
14:30
|
Cerebral Amyloid Angiopathy: failure of intramural periarterial drainage? | |
| Roxana Octavia Carare1 | ||
1University of Southampton, Southampton, United Kingdom |
15:00
|
Imaging Biomarkers of Cerebral Amyloid Angiopathy | |
| Steven M. Greenberg1 | ||
1Massachusetts General Hospital, Boston, MA, United States |
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Cerebral amyloid angiopathy (CAA), deposition of ß-amyloid in small cortical and leptomeningeal vessels, is a common age-related pathology associated with lobar hemorrhage and cognitive impairment. Among MRI-based markers of CAA are lobar hemorrhages and microbleeds, convexity subarachnoid hemorrhage and cortical superficial siderosis, microinfarcts, altered structural connectivity on diffusion-tensor imaging, dilated perivascular spaces in centrum semiovale, multi-spot pattern white matter hyperintensities, and impaired vascular reactivity to visual stimulation. Current diagnosis of CAA per the Boston Criteria depends on detection of multiple strictly lobar hemorrhagic lesions. Ongoing studies suggest that incorporation of emerging white matter markers may improve sensitivity without compromising specificity. |
15:30
|
ARIA in Alzheimer Clinical Trials | |
| Clifford R. Jack, Jr.1 | ||
1Mayo Clinic, Rochester, MN, United States |
| 0321 | 14:00
|
Cortical ß-amyloid plaque load detection using QSM in Alzheimer’s patients at 9.4T |
| Elisa Tuzzi1,2, Rolf Pohmann3, Alexander Loktyushin3, Christoph Laske4,5, Klaus Scheffler3,6, and Gisela Elisabeth Hagberg3,6 | ||
1Department for Biomedical Magnetic Resonance, Eberhard Karl’s University and University Hospital, Tuebingen, Germany, 2Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetic, Tuebingen, Germany, 3Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 4German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany, 5Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, Tuebingen, Germany, 6Department for Biomedical Magnetic Resonance, Eberhard Karl’s University, Tuebingen and University Hospital, Tuebingen, Germany |
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Beta-amyloid (Aβ) plaques are characteristic of Alzheimer’s Disease (AD) brain and cause effects which can be detected by QSM. It has been shown that cortical plaque-load could be used to distinguish AD patients from healthy controls (HC) using ultra-high spatial resolution QSM at ultra-high-field (9.4 and 14.1T), in-vivo and ex-vivo. We aimed to extend these observations to a larger cohort of patients and controls at two different spatial resolutions. We found a significative (p<0.05) increase in plaque-load in AD compared to HC at both resolutions. Interestingly, some cortical regions also showed greater (p<0.05) diamagnetic effects in AD compared to HC. |
| 0322 | 14:00
|
Iron deposits estimated by QSM MRI: a biomarker of depressive symptoms in cognitively normal and impaired adults with vascular problems |
| Sandeepa Sur1,2, Lin Chen1, Danyang Yu3, Leah H Rubin2,4, Yanxun H Xu5, Zixuan Lu1, Sevil Yasar6, Paul Rosenberg7, Rita Kalyani6, Kaisha H HAzel1, George H Pottanat8, Peter van Zijl9, Marilyn Albert2, Hanzhang Lu1, and Xu Li9 | ||
1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Neurology, Johns Hopkins University, Baltimore, MD, United States, 3Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Epidemiology, Johns Hopkins University, Baltimore, MD, United States, 5Whitting School of Engineering, Johns Hopkins University, Baltimore, MD, United States, 6Medicine, Johns Hopkins University, Baltimore, MD, United States, 7Psychiatry and Behavorial Sciences, Johns Hopkins University, Baltimore, MD, United States, 8Johns Hopkins University, Baltimore, MD, United States, 9Kirby Center, Kennedy Krieger Institute, Baltimore, MD, United States |
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This study explored whether brain iron deposits in gray matter, measured as increased magnetic susceptibility, is a good biomarker for depressive symptoms in older adults with normal and impaired cognition, and vascular comorbidities. In a cross-sectional study(n=73) of normal, mild-cognitive-impairment (MCI), and mild-dementia participants with vascular comorbidities, increased susceptibility in brain-regions (frontal, temporal, parietal, occipital, hippocampus and thalamus) was associated with depressive symptoms (Geriatric Depression Scale, GDS) after adjusting for age, sex, diagnosis, and structural-volume loss, suggesting its potential use as biomarker for depressive symptoms in normal and impaired older adults. |
| 0323 | 14:00
|
PVS enlargement preferentially influences regional cortical thickness across the normative lifespan |
| Kirsten Mary Lynch1, Arthur W Toga1, and Farshid Sepehrband1 | ||
1USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, United States |
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Perivascular spaces (PVS) are an important structural feature of the glymphatic system. PVS enlargement is associated with impaired glymphatic functionality and has been observed in both normative aging and neurodegenerative disorders; however, it is unclear how white matter PVS alterations affect neighboring cortical morphology in cognitively normal subjects. In the present study, we explore the relationship between PVS enlargement and cortical thickness across the normative lifespan. We found PVS enlargement preferentially influences cortical thickness of frontal regions, and this association is observed in children, adults and the elderly. |
| 0324 | 14:00
|
White matter shape and microstructure across the adult lifespan |
| Kurt G Schilling1, Fang-Cheng Yeh2, Leon Cai3, Colin Hansen3, Qi Yang3, Andrea T Shafer4, Susan Resnick4, Adam W Anderson3, and Bennett A Landman3 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2University of Pittsburgh Medical Center, Pittsburgh, PA, United States, 3Vanderbilt University, Nashville, TN, United States, 4National Institute on Aging, Baltimore, MD, United States |
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Here, we examine brain white matter diffusion magnetic resonance imaging data from a mixed longitudinal and cross-sectional dataset of 892 subjects and 1991 sessions of people aged 22.4-102.0 years from the Baltimore Longitudinal Study of Aging. Quantifying 7 microstructural features and, for the first time, 11 shape-based features across 49 white matter pathways, we document large age associations with white matter. Microstructure and shape measures are associated with age, although features of white matter shape do not show uniform trends across all pathways. Results from this study provide a comprehensive characterization of white matter pathways in the human brain. |
| 0325
|
14:00
|
Alterations of Structural-Functional Coupling in Amyloid-Positive and Negative Mild Cognitive Impairment Patients |
| Hui Zhang1,2, Sai Kam Hui3, Peng Cao1, and Henry K.F. Mak1,2,4 | ||
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Alzheimer's Disease Research Network, The University of Hong Kong, Hong Kong, Hong Kong, 3Department of Rehabilitation Science, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, 4State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong |
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To identify the structural and functional abnormalities in mild cognitive impairment (MCI) amyloid positive patients, combined resting state fMRI (rs-fMRI) and diffusion kurtosis imaging (DKI) were applied in this study. Graph theory metrics of subgroups were calculated and compared. In the results, MCI amyloid positive had impaired structural connectivity (SC) but not functional connectivity (FC) matrices and demonstrated significant SC-FC decoupling. We postulated that structural damage preceded functional reorganization. The pathological effects of fibrillar amyloid plaque toxicity occur in anatomical pathways, and functional reorganization might happen beyond the confines of structural pathways. |
| 0326
|
14:00
|
Associations in Alzheimer’s disease between Intracranial Vascular Metrics from 4D-Flow MRI and β-Amyloid and Tau PET |
| Leonardo A Rivera-Rivera1,2, Karly A Cody1, Tobey Betthauser1, Robert V Cadman1, Thomas Reher3, Howard A Rowley3, Cynthia M Carlsson1, Laura Eisenmenger3, Sterling C Johnson1, and Kevin M Johnson2,3 | ||
1Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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Cerebrovascular disease (CVD), has been linked with mild cognitive impairment and dementia stages of Alzheimer’s disease (AD); however, the question of whether CVD is associated with underlying AD pathophysiology remains unresolved. There remain many questions regarding CVD/AD pathophysiology interactions and whether related clinical AD dementia is enhanced by CVD. In this study, we investigated the relationship between cardiac and low frequency flow oscillations from 4D-Flow, white matter hyperintensities (WMHs) from T2 FLAIR MRI, and AD pathology assessed using β-amyloid (Aβ) and tau PET imaging data. |
14:00
|
Spin Gymnastics | |
| Walter Kucharczyk1 | ||
1University of Toronto, Toronto, ON, Canada |
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SYNOPSIS: “SPIN GYMNASTICS” There are two main principles in the MRI process: the basic physics of NMR, and spatial encoding of signal. The basic physics deals with spin, angular momentum, resonance, bulk magnetization, excitation and signal detection. The second describes the application of magnetic field gradients in three dimensions for encoding the location of the signal. 3D animations are used to illustrate complex concepts in a graphically intuitive manner. The overall goal is to provide a working knowledge of the basic physics of MRI in a way that is both intuitive and true to the physics of MRI. |
14:30
|
Basic Pulse Sequences: Gradient & Spin Echo Imaging | |
| Jana Hutter1 | ||
1King's College London, London, United Kingdom |
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MRI techniques are often classified into Spin and Gradient echo sequences. This talk will introduce the basic concepts and elements of both sequences, highlight differences in terms of contrast, such as the T2 signal decay in Spin echo sequences and the T2* signal decay in Gradient echo sequences. It will introduce and motivate the concepts of gradient and RF spoiling, balanced sequences and magnetization preparation and finish with a short outlook on accelerating spin and gradient echo sequences using echo trains. |
15:00
|
Multicontrast Approaches | |
| Stanislas Rapacchi1 | ||
1CNRS Aix-Marseille University, Marseille, France |
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This presentation presents an overview of multi-contrasts approaches in MRI, from a simple but technical point of view. The presentation starts from two simple examples of multi-contrasts approaches and continues with quantitative multi-contrast approaches. The presentation compares all these approaches in 3 points: 1/ the acquisition schemes that allows to probe multiple contrasts at once, 2/ the underlying model that maps MR signal onto multiple contrasts and allows to disentangle them and 3/ the output contrasts that are eventually provided by the approach of interest. Finally, we will review extensions of multi-contrast approaches with synthetic imaging, segmentation, and standardized reporting. |
14:00
|
Overview of Benchmarking for Clinical Translation: From Technique Development to Clinical Tool | |
| Michael Boss | ||
| American College of Radiology | ||
14:20
|
Benchmarking: Back to Basics | |
| Kathryn Keenan | ||
| National Institute of Standards & Technology | ||
14:40
|
Technical Benchmarking & Standardization of Novel Diffusion-Based Biomarker Technologies | |
| Thomas Chenevert | ||
| University of Michigan | ||
15:00
|
Technical Benchmarking for Image Analysis/Prediction Tools | |
| Jayashree Kalpathy-Cramer | ||
| Massachusetts General Hospital, Harvard Medical School | ||
15:20
|
From Clinical Trials to Clinical Use: Neuro-Oncologic Imaging | |
| Benjamin Ellingson | ||
| University of California, Los Angeles | ||
14:30
|
Fast Pulse Sequences: Acquiring Data More Quickly | |
| Craig H. Meyer1 | ||
1University of Virginia, Charlottesville, VA, United States |
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This talk will cover the physical principles of acquiring data rapidly and introduce commonly-used fast pulse sequences. Gradient-recalled echo and balanced SSFP pulse sequences reduce scan time by reducing the repetition time. Spin-echo-train pulse sequences reduce scan time by acquiring a series of k-space lines interspersed between refocusing pulses. A third way to reduce scan time is to collect more than a single line of k-space during a single readout, as in echo-planar imaging and spiral scanning. The audience will learn the fundamentals and applications of these fast pulse sequences.
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15:00
|
Parallel Imaging: Modelling the System to Acquire Less Data | |
| Julia V. Velikina1 | ||
1University of Wisconsin - Madison, Madison, WI, United States |
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The objective of this presentation is to provide an overview of parallel MR imaging methods and their applications in clinical practice. We will start with discussing image formation for reduced data acquisition and ways to compensate for the missing data with parallel MRI techniques. We will discuss the limitations of parallel MRI such as noise amplification and sensitivity to calibration and their effect on achievable acceleration and image artifacts. We will finish with review of some clinical applications that can benefit from the use of parallel imaging. |
15:30
|
Sparse Reconstruction: Modelling the Image to Acquire Less Data | |
| Shreyas Vasanawala1 | ||
1Stanford University, Stanford, CA, United States |
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Sparsity is ubiquitous in medical images and can be exploited to scan faster. In this presentation, the concept of sparsity and the related concept of 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. |
15:00
|
DWI of the Breast: Concepts for Clinical Practice | |
| Ritse Mann | ||
| Department of radiology and nuclear medicine, Radboud University Medical Centre, Nijmegen, and Depar | ||
15:30
|
DWI of the Breast: Technical Optimization & QC | |
| Savannah Partridge | ||
| Department of Radiology, University of Washington, Seattle, Washington, USA | ||
16:00
|
DWI-Based Screening for Breast Cancer | |
| Taro Takahara | ||
| Department of Biomedical Engineering, Tokai University School of Engineering, Kanagawa, Japan | ||
16:30
|
DWI of the Breast: Clinical Implementation | |
| Katja Pinker-Domenig | ||
| Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, NY, New Yor | ||
17:00
|
Translational Advanced DWI of the Breast | |
| Mami Iima | ||
| Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, | ||
17:30
|
Frontiers of Advanced DWI of the Breast | |
| Eric Sigmund | ||
| Department of Radiology, NYU Langone Health, New York, New York, USA | ||
| 0327
|
16:00
|
BUDA-STEAM: A rapid parameter estimation method for T1, T2, M0, B0 and B1 using three-90° pulse sequence |
| Seohee So1, Byungjai Kim1, HyunWook Park1, and Berkin Bilgic2 | ||
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Martinos Center for Biomedical Imaging, Charlestown, MA, United States |
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An MR parameter estimation method using spin- and stimulated-echo signals is proposed. Three-90° pulse sequence is introduced to simultaneously acquire spin and stimulated echo signals. These signals contain rich information that allow for estimation of T1, T2, M0, B0 and B1 maps. We utilize Blip Up-Down Acquisition (BUDA) to eliminate geometric distortion incurred by rapid EPI readout. In order to estimate the parameter maps from the spin- and stimulated-echo signals with high fidelity, two parameter estimation methods, analytic fitting and a novel unsupervised deep neural network method, are developed. |
| 0328
|
16:00
|
DeepTSE-T2: Deep learning-powered T2 mapping with B1+ estimation using a product double-echo Turbo Spin Echo sequence |
| Hwihun Jeong1, Hyeong-Geol Shin1, Sooyeon Ji1, Jinhee Jang2, Hyun-Soo Lee3, Yoonho Nam4, and Jongho Lee1 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology, Seoul St Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of, 3Siemens healthineers Ltd, Seoul, Korea, Republic of, 4Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of |
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We developed DeepTSE-T2, a deep learning-based T2 mapping algorithm with retrospective B1+ estimation for a product double-echo TSE sequence. DeepTSE-T2 enables T2 mapping by retrospectively estimating B1+ information, reconstructing T2 in high-accuracy (NRMSE = 8.26 ± 0.30%). The proposed method is useful in a clinical setting since it utilizes a fast imaging product sequence. The training dataset consists of simulation-based data, providing flexibility in parameter setting. Applications to χ-separation and an MS patient are included. |
| 0329
|
16:00
|
Fast and Accurate Modeling of Transient-state Sequences by Recurrent Neural Networks |
| Hongyan Liu1, Oscar van der Heide1, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1 | ||
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands |
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Fast and accurate modeling of transient-state sequences are required for various quantitative MR applications. We present here a surrogate model based on Recurrent Neural Network (RNN) architecture, to quickly compute large-scale MR signals and derivatives. We demonstrate that the trained RNN model works with different sequence parameters and tiussue parameters without the need of retraining. We prove that the RNN model can be used for computing large-scale MR signals and derivatives within seconds, and therefore achieves one to three orders of magnitude acceleration for different qMRI applications. |
| 0330 | 16:00
|
Unsupervised physics-informed deep learning (N=1) for solving inverse qMRI problems – Relaxometry and field mapping from multi-echo data |
| Ilyes Benslimane1, Thomas Jochmann2, Robert Zivadinov1,3, and Ferdinand Schweser1,3 | ||
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, Buffalo, NY, United States, 2Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, Jena, Thuringia, Germany, 3Center for Biomedical Imaging, Clinical and Translational Science Institute at the University at Buffalo, Buffalo, NY, USA, Buffalo, NY, United States |
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Modeling the non-linear relationship of the Magnetic Resonance (MR) signal and biophysical sources is computationally expensive and unstable using conventional methods. We develop an unsupervised physics-informed deep learning algorithm that quantifies MR parameters from multi-echo GRE data in a single computational pass. The algorithm produced accurate B0 and R2* field maps without phase wrapping artifacts and with typical contrast variations. The success of this network demonstrates the feasibility of physics-informed quantitative MRI (qMRI) without the need for ground truth training data, typically required by similar networks. This developed tool could provide fast and comprehensive tissue characterization in qMRI. |
| 0331 | 16:00
|
MoG-QSM: A Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping |
| Ruimin Feng1, Yuting Shi1, Jie Feng1, 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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We proposed a model-based generative adversarial network for quantitative susceptibility mapping. Total 30 scans from six healthy subjects, acquired at five different head orientations, were employed for network training. The trained network provided superior image quality and accuracy quantification compared to recently developed QSM reconstruction methods. The proposed method showed excellent tissue susceptibility contrast and artifact suppression on the QSM images of patients with hemorrhage and multiple sclerosis, demonstrating potential clinical application in the future. |
| 0332 | 16:00
|
Self-supervised Deep Learning for Rapid Quantitative Imaging |
| Fang Liu1 and Li Feng2 | ||
1Radiology, Harvard Medical School, Boston, MA, United States, 2Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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The purpose of this work was to develop a model-guided self-supervised deep learning MRI reconstruction framework called REference-free LAtent map eXtraction (RELAX) for rapid quantitative MR parameter mapping. RELAX eliminates the need for full sampled reference datasets that are required in standard supervised learning. Meanwhile, RELAX also enables direct reconstruction of MR parameter maps from undersampled k-space. Our results demonstrated that the proposed framework produced accurate and robust T1/T2 mapping in accelerated and low-SNR MRI. The good quantitative agreement to the reference method suggests that RELAX allows accelerated quantitative imaging without training with reference data. |
| 0333 | 16:00
|
MRzero with dAUTOMAP reconstruction– automated invention of MR acquisition and neural network reconstruction |
| Hoai Nam Dang1, Simon Weinmüller1, Alexander Loktyushin2,3, Felix Glang2, Arnd Dörfler1, Andreas Maier4, Bernhard Schölkopf3, Klaus Scheffler2,5, and Moritz Zaiss1,2 | ||
1Neuroradiology, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Magnetic Resonance Center, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Empirical Inference, Max-Planck Institute for Intelligent Systems, Tübingen, Germany, 4Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 5Department of Biomedical Magnetic Resonance, Eberhard Karls University Tübingen, Tübingen, Germany |
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We present an end-to-end optimized T1 mapping utilizing MRzero - a fully differentiable Bloch-equation-based MRI sequence invention framework. A convolutional neural network is employed for combined image reconstruction and parameter mapping. The pipeline performs a joint optimization of sequence parameters and neural network parameters to create a full autoencoder for T1 mapping. We demonstrate for in vivo measurements at 3T, that the CNN based reconstruction and T1 mapping outperformes a conventional reconstruction with pixelwise neural network based T1 quantification. |
| 0334 | 16:00
|
Bidirectional Translation Between Multi-Contrast Images and Multi-Parametric Maps Using Deep Learning |
| Shihan Qiu1,2, Yuhua Chen1,2, Sen Ma1, Zhaoyang Fan1,2, Anthony G. Christodoulou1,2, Yibin Xie1, and Debiao Li1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States |
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Multi-contrast MRI and multi-parametric maps provide complementary qualitative and quantitative information for disease diagnosis. However, due to limited scan time, a full array of images is often unavailable in practice. To provide both qualitative weighted images and quantitative maps using a weighted-only or mapping-only acquisition, in this work, we propose to perform bidirectional translation between conventional weighted images and parametric maps. We developed a combined training strategy of two convolutional neural networks with cycle consistency loss. Our preliminary results show that the proposed method can translate between contrast-weighted images and quantitative maps with high quality and fidelity. |
| 0335 | 16:00
|
Accelerating perfusion quantification using ASL-MRI with a neural network based forward model |
| Yechuan Zhang1 and Michael A Chappell1,2,3 | ||
1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 3Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Arterial Spin Labelling is established as a quantitative technique to measure perfusion and other hemodynamic properties of the cerebral vasculature. This application of ASL requires multiple post label delays and parameter estimation via a kinetic model. However, the computational cost of the post-processing can be an issue, especially with sophisticated kinetic models. In this work, we propose a rapid method to perform perfusion estimation by replacing kinetic models with pre-trained neural networks. Two neural networks were trained to replace the kinetic model with or without gamma dispersion effects. The dispersion neural network is shown to achieve a lower computational cost. |
| 0336 | 16:00
|
Track-To-Learn: A general framework for tractography with deep reinforcement learning |
| Antoine Théberge1, Christian Desrosiers2, Maxime Descoteaux1, and Pierre-Marc Jodoin1 | ||
1Faculté des Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Département de génie logiciel et des TI, École de technologie supérieure, Montréal, QC, Canada |
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Supervised machine learning algorithms have been proposed to learn tractography algorithms implicitly from data, without relying on hard-to-develop anatomical priors. However, supervised learning methods rely on labelled data that is very hard to obtain. To remove the need for such data but still leverage the expressiveness of neural networks, we introduce and implement Track-To-Learn, a general framework to pose tractography as a deep reinforcement learning problem. We show that competitive results can be obtained on known data and that the learned algorithms are able to generalize far better to new, unseen data, than prior supervised learning-based tractography algorithms. |
| 0337
|
16:00
|
High Resolution Volumetric Diffusion-Weighted MRSI Using A Subspace Approach |
| Zepeng Wang1,2 and Fan Lam1,2 | ||
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, Urbana, IL, United States |
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Diffusion-weighted MRSI (DW-MRSI) promises to significantly expand the capability of in vivo tissue microstructural imaging by simultaneously measuring the diffusion properties of several molecules other than water. However, the applications of DW-MRSI have been mostly limited to either single voxels or 2D experiments with very low resolutions due to several fundamental technical challenges. We describe here a novel method to achieve 3D DW-MRSI with an unprecedented combination of speed, resolution and SNR, by synergizing a special fast sequence and subspace-based processing. We successfully demonstrated high-SNR DW-MRSI of the brain and metabolite-specific ADC maps with the highest ever resolution (3.4×3.4×5.3 mm3). |
| 0338 | 16:00
|
3D-CRT-FID-MRSI in the brain at 7T: Evaluation of regional concentration estimates |
| Gilbert Hangel1,2, Benjamin Spurny3, Philipp Lazen2, Cornelius Cadrien1,2, Sukrit Sharma2, Zoe Käfer2, Nikolaus Doblinger2, Lukas Hingerl2, Eva Hečková2, Bernhard Strasser2, Stanislav Motyka2, Alexandra Lipka2, Stephan Gruber2, Christoph Brandner4, Rupert Lanzenberger3, Karl Rössler1, Siegfried Trattnig2,5, and Wolfgang Bogner2 | ||
1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 2High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria, 4High Field MR Centre, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 5Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria |
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Applying a 3D-MRSI sequence with ~3 mm isotropic resolution and 15 min measurement time at 7T to a cohort of 24 healthy subjects, we successfully estimated the concentrations of 13 brain metabolites in 44 regions using internal water referencing. We established inter-subject coefficients of variation in the range of 10-20%. The resulting concentration estimates corresponded well to previous research except for GSH. |
| 0339
|
16:00
|
Simultaneous Detection of Metabolite Concentration Changes, Water BOLD Signal and pH Changes during Visual Stimulation in the Human Brain at 9.4T |
| Johanna Dorst1, Tamas Borbath1, and Anke Henning1,2 | ||
1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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Previous studies investigated relationships between the BOLD signal and metabolite concentration changes during visual stimulation by sequential or interleaved fMRI/fMRS measurements. The purpose of this study was to simultaneously investigate the dynamics of BOLD signal and metabolite levels in the activated human brain at 9.4T using the metabolite-cycling (MC) technique. A correlation between the MC water dynamics and concentration increases of lactate and glutamate during activation could be verified. Besides, it could be shown that the high spectral quality of fMRS at 9.4T facilitates separate fitting of creatine and phosphocreatine thereby enabling the calculation of pH dynamics during visual stimulation. |
| 0340 | 16:00
|
In Vivo Measurement of 13C Labeling of Glutamate and Glutamine in the Human Brain Using 1H MRS |
| Li An1, Shizhe Li1, Maria Ferraris Araneta1, Milalynn Victorino1, Christopher Johnson1, and Jun Shen1 | ||
1National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States |
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A recently developed single-step spectral editing 1H MRS technique that induces intense Glu and Gln H4 singlets at TE = 56 ms was used to measure fractional enrichments of glutamate and glutamine in the dorsal anterior cingulate cortex (dACC) of five healthy volunteers after oral administration of [U-13C]glucose. This technique offers the ability to measure glutamate neurotransmission in the human brain with the high sensitivity and spatial resolution of 1H MRS using standard commercial equipment. |
| 0341
|
16:00
|
Fast High-Resolution 19F-MRSI of Perfluorocarbon Nanoemulsions for MRI Cell Tracking Using SPICE with Learned Subspaces |
| Yibo Zhao1,2, T. Kevin Hitchens3,4, Michele Herneisey5, Jelena M. Janjic5, Rong Guo1,2, Yudu Li1,2, and Zhi-Pei Liang1,2 | ||
1Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, Urbana, IL, United States, 3Animal Imaging Center, University of Pittsburgh, Pittsburgh, PA, United States, 4Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, United States, 5Graduate School of Pharmaceutical Sciences, Duquesne University, Pittsburgh, PA, United States |
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19F-MRSI has the potential to track multiple perfluorocarbon nanoemulsions simultaneously, but existing 19F-MRSI schemes have been limited to CSI, which provides a poor tradeoff between resolution and scan time. In this work, a novel method is proposed to enable fast high-resolution 19F-MRSI. In the proposed method, (k,t)-space is sampled rapidly in EPSI trajectories; data processing is accomplished using a union-of-subspaces model with pre-learned spectral basis. The proposed method has been evaluated using simulation and experimental data, producing encouraging results. The proposed method may open up new opportunities for simultaneous tracking of different labeled cell populations in vivo. |
| 0342
|
16:00
|
Diffusion-weighted magnetic resonance spectroscopy in the cerebellum of a rat model of hepatic encephalopathy at 14.1T |
| Jessie Mosso1,2,3, Julien Valette4, Katarzyna Pierzchala1,2, Dunja Simicic1,2,3, Ileana Ozana Jelescu1,2, and Cristina Cudalbu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 3LIFMET, EPFL, Lausanne, Switzerland, 4Commissariat à l'Energie Atomique (CEA), Institut d'Imagerie Biomédicale (I2BM), Molecular Imaging Research Center (MIRCen), Fontenay-aux-Roses, France |
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Chronic hepatic encephalopathy (cHE) is a severe brain condition arising from chronic liver disease. Microstructural changes occurring due to toxins accumulation in the brain are still unexplored in vivo, especially in cerebellum, and of key interest for disease early detection. Using the STE-LASER sequence, we measured a decreased diffusion coefficient for glutamine and increased for taurine and glutamate in the cerebellum of a rat model of cHE, associated with cell-specific morphological changes measured ex vivo. These preliminary results need to be confirmed by increasing the sample size but they shed light on new aspects in the pathophysiology of HE. |
| 0343
|
16:00
|
Validation of dynamic Deuterium Metabolic Imaging (DMI) for the measurement of cerebral metabolic rates of glucose in rat. |
| Claudius Sebastian Mathy1,2,3, Monique A. Thomas1, Graeme F. Mason1,4,5, Robin A. de Graaf1,5, and Henk M. De Feyter1 | ||
1Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center, Yale University, New Haven, CT, United States, 2Institute of Physical and Theoretical Chemistry, University of Bonn, Bonn, Germany, 3Department of Diagnostic and Interventional Radiology, RWTH Aachen, Aachen, Germany, 4Department of Psychiatry, Yale University, New Haven, CT, United States, 5Department of Biomedical Engineering, Yale University, New Haven, CT, United States |
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Deuterium metabolic imaging (DMI) is a novel metabolic imaging technique where 2H MRSI is combined with administration of 2H-labeled substrates. DMI data acquired at metabolic steady-state reveal the relative activities of metabolic pathways, whereas dynamically acquired DMI also provides the metabolic pathway activity rates. The analysis of dynamic DMI data is complicated by the presence of deuterium label loss between deuterated products and water. Here we validated metabolic rates obtained with dynamic DMI with those established using more traditional, 13C-based MR methods. |
| 0344
|
16:00
|
Combining 1H MRS and deuterium labeled glucose for mapping of neural metabolism in humans |
| Abigail T.J. Cember1, Laurie J. Rich1, Puneet Bagga1, Neil E. Wilson2, Ravi Prakash Reddy Nanga1, Deepa Thakuri1, Mark Elliott1, Mitchell D. Schnall3, John A. Detre4, and Ravinder Reddy1 | ||
1Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Siemens Medical Solutions, USA, Malvern, PA, United States, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States |
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Here we present spectroscopic and chemical shift imaging data from the brains of healthy human subjects acquired using a novel method termed qMRS, which enables tracking of metabolic turnover with the inherent sensitivity of 1H MRS and widespread applicability using standard 1H-based clinical MRI scanners. We demonstrate the feasibility of using qMRS and its corollary chemical shift imaging technique (qCSI) to monitor the temporal and spatial dynamics of metabolite labelling in the human brain following oral consumption of deuterium-labeled glucose. Unlike the related technique of deuterium metabolic imaging (DMI), qMRS does not require implementation of multinuclear MR spectroscopy. |
| 0345
|
16:00
|
The Macromolecular Background Spectrum Does Not Change with Age in Healthy Participants |
| Steve C.N. Hui1,2, Tao Gong3, Helge J. Zöllner1,2, Yulu Song3, Yufan Chen3, Muhammad G. Saleh4, Mark Mikkelsen1,2, Georg Oeltzschner1,2, Sofie Tapper1,2, Weibo Chen5, Richard A.E. Edden1,2, and Guangbin Wang3 | ||
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, 3Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China, 4Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 5Philips Healthcare, Shanghai, China |
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The aim of this project was to investigate the time course of macromolecular (MM) background spectrum during healthy aging. Recruiting a structured, cross-sectional cohort of 100 participants (10 male and 10 female subject per decade: 20s; 30s; 40s; 50s; and 60s), we acquired metabolite-nulled short-TE PRESS data and modeled the MM spectrum as a series of Gaussian signals at literature-defined chemical shifts. Linear regression of water-scaled MM signal areas revealed no significant relationship between age and MM signal areas, suggesting the MM spectrum may be more stable than has been suggested in the literature. |
| 0346 | 16:00
|
Ultra high-field, high-resolution, multi-voxel MRS in pre-manifest and early-manifest Huntington's Disease |
| Yan Li1, Huawei Liu1, Angela Jakary1, Sivakami Avadiappan1, Melanie Morrison1, Ralph Noeske2, Peder E.Z. Larson1, Alexandra Nelson3, Katherine Possin3, Michael Geschwind3, Christopher Hess1, and Janine M Lupo1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2GE Healthcare, Munich, Germany, 3Department of Neurology, University of California San Francisco, San Francisco, CA, United States |
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In this study of Huntington's Disease (HD), we evaluated brain metabolites from pre-manifest HD (PM) and early-manifest HD (EM), as well as their relationship to disease burden and motor disturbances. We used multi-voxel MRS at ultra-high field strength (7T), in order to improve the reliability and sensitivity of detecting focal metabolic changes that are related to HD. We found metabolic alterations in the thalamus and insula and changes in choline, mI, glutathione and glutamate that were correlated with clinical measures of disease severity. |
| 0347
|
16:00
|
Rapid fetal HASTE imaging using variable flip angles and simultaneous multislice wave-LORAKS |
| Yamin Arefeen1, Tae Hyung Kim2, Justin Haldar3, Ellen Grant4,5, Borjan Gagoski6,7, Berkin Bilgic2,7, and Elfar Adalsteinsson1,8,9 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 4Boston Children’s Hospital, Boston, MA, United States, 5Harvard Medical School, Boston, MA, United States, 6Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 7Department of Radiology, Harvard Medical School, Cambridge, MA, United States, 8Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 9Institute for Medical Engineering and Science, Cambridge, MA, United States |
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Fetal MRI utilizes Half-Fourier-acquisition-single-shot-turbo-spin-echo (HASTE) for rapid T2-weighted imaging to mitigate motion. However, specific-absorption-rate (SAR) constraints from the refocusing pulse train reduce acquisition efficiency. Variable refocusing flip angle (VFA) acquisitions can improve efficiency, but may suffer from low signal-to-noise ratios (SNR). Here, we propose a VFA scheme and incorporate a rapid, low-SAR calibration scan. We simulate and prospectively evaluate the SNR and SAR properties of the VFA scheme and utilize the calibration scan for LORAKS parallel imaging and retrospective evaluation of wave-encoded simultaneous-multislice (SMS). VFA prospectively reduces acquisition time by ~2.3-2.5x and incorporating SMS could further improve efficiency. |
| 0348
|
16:00
|
Motion Compensated Free-Running 3D Fetal Magnetic Resonance Imaging: Initial Feasibility |
| Christopher W Roy1, Leonor Alamo1, Estelle Tenisch1, John Heerfordt1,2, Milan Prsa3, Meritxell Bach Cuadra1,4,5, Davide Piccini1,2, Jérôme Yerly1,4, and Matthias Stuber1,4 | ||
1Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 3Division of Pediatric Cardiology, Department Woman-Mother-Child, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Signal Processing Laboratory 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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A novel framework for 3D MRI of the fetus with retrospective motion compensation is developed and its initial feasibility demonstrated. This approach enables imaging with high isotropic resolution and allows for retrospective evaluation of the complex fetal anatomy in arbitrary scan planes, setting the stage for new possibilities in the assessment of fetal diseases in utero. |
| 0349 | 16:00
|
Clinical fetal cardiovascular MRI based on Doppler ultrasound gating at 3T and 1.5T: On a technical aspect of imaging pulse sequence optimization |
| Shuo Zhang1, Janine Knapp2, Roland Cronenberg3, Björn Schönnagel2, Manuela Tavares de Sousa4, Barbara Ulm5, Daniela Prayer3, Vanessa Berger-Kulemann3, and Fabian Kording2,6 | ||
1Philips, Hamburg, Germany, 2Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany, 3Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Vienna, Austria, 4Department of Obstetrics and Fetal Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany, 5Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria, 6northh medical GmbH, Hamburg, Germany |
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Cardiovascular MRI is considered a valuable diagnostic tool for studying congenital abnormalities in children and adults. However, simple, high-quality imaging of the fetal heart is challenging due to lack of direct in-utero cardiac gating. We aimed to employ a recently introduced Doppler ultrasound (DUS) device and combine with optimized routine imaging techniques for structural and functional studies of the fetal heart and to establish a standard acquisition approach for high-quality fetal cardiovascular MRI in the clinical practice. |
| 0350 | 16:00
|
Early Non-Contrast Biomarkers of Left Ventricular Cardiomyopathy in Children with Duchenne Muscular Dystrophy |
| ZHAN-QIU LIU1, Nyasha Maforo2, Seraina Dual3, Ashley Prosper4, Pierangelo Renella4, Nancy Halnon5, Holden Wu4, and Daniel Ennis3 | ||
1Cardiovascular Institute, Stanford University, Stanford, CA, United States, 2Physics and Biology in Medicine Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States, 4Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 5Department of Pediatrics, University of California, Los Angeles, Los Angeles, CA, United States |
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Left ventricular(LV) peak mid-wall circumferential strain (Ecc) is a sensitive early biomarker for evaluating the subtle and highly variable onset and progression of cardiomyopathy in pediatric subjects with Duchenne muscular dystrophy (DMD). Cine Displacement Encoding with Stimulated Echoes (DENSE) has proven sensitive to changes in Ecc. Using cine DENSE we show a significantly decreased septal Ecc in LGE negative(-) boys with DMD absent identifiable focal fibrosis compared with controls. A binomial logistic regression model that combines septal Ecc, LV pre-contrast T1, and LV ejection fraction can sensitively distinguish LGE(-) boys with DMD from healthy boys without the need for contrast. |
| 0351 | 16:00
|
Evaluating the Risk of Pediatric Neuroblastoma in the Abdomen with Amide Proton Transfer Imaging |
| Wenqi Wang1, Xuan Jia2, Jiawei Liang2, Xiaohui Ma2, Weibo Chen3, Dan Wu1, Can Lai2, 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, 2Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 3Philips Healthcare, Shanghai, China |
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Neuroblastoma (NB) most often occurs in young children, and accurate diagnosis of NB with anatomical MRI remains challenging. Here, we explored the potential of amide proton transfer (APT) imaging in evaluating the risk of pediatric abdominal NB. A total of 25 patients were enrolled, including 12 with low-risk NB and 13 with high-risk NB. An automatic shrinkage algorithm was applied to the initial region of interest delineated by an experienced radiologist to focus on the most aggressive part of tumors. We obtained an AUC of 0.917 for stratifying the risk of NB with APT, demonstrating the potential of clinical application. |
| 0352 | 16:00
|
Liver Stiffness in a Single Breath-hold Using Wave Polarity-Inversion Motion Encoding and Compressed SENSE: Coverage Equivalent to 5 Slices |
| Amol Pednekar1, Deep B. Gandhi2, Hui Wang3, Jean A. Tkach1, Andrew T. Trout1, and Jonathan R. Dillman1 | ||
1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3MR Clinical Science, Philips, Cincinnati, OH, United States |
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2D GRE MRE liver images acquired at 4 transverse levels in breath-hold times >13s per slice is currently standard of care (SC_2D_4BH). The combination of wave polarity-inversion motion encoding and compressed-SENSE enables volumetric three-dimensional (3D) MRE data acquisition in a single breath-hold of <16 s, with identical spatial resolution and 5 slice equivalent coverage (3D_5Sl_SBH). In 19 participants, mean liver shear stiffness values estimated with SC_2D_4BH and 3D_5sl_SBH correlated very strongly (ICC=0.96) with a mean bias of 0.13 kPa (<5 %). 3D_5sl_SBH MRE provides similar stiffness estimates as SC_2D_4BH with increased coverage in a single breath-hold compared to 4 breath-holds. |
| 0353 | 16:00
|
Maternal Obesity during Pregnancy is Associated with Lower Cortical Thickness in the Newborn Brain |
| Xiaoxu Na1, Natalie E. Phelan1, Marinna R. Tadros1, Aline Andres2,3, Thomas M. Badger2,3, Charles M. Glasier1, Raghu H. Ramakrishnaiah1, Amy C. Rowell1, Li Wang4, Gang Li4, Zhengwang Wu4, David K. Williams5, and Xiawei Ou1,3,6 | ||
1Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 2Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 3Arkansas Children's Nutrition Center, Little Rock, AR, United States, 4Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 5Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 6Arkansas Children's Research Institute, Little Rock, AR, United States |
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This study examined the relationships between maternal obesity during pregnancy and newborn’s brain cortical development. Healthy normal weight or obese pregnant women were recruited at early pregnancy and their newborns underwent a brain MRI examination at 2 weeks of age. Structural MR images of the brain were post-processed to reconstruct cortical surfaces, and mean cortical thickness in different brain regions was measured. Significant differences in cortical thickness between infants born to normal weight vs. obese mothers were found in multiple brain regions, and negative correlations between maternal body fat mass percentage and infant cortical thickness were also observed. |
| 0354
|
16:00
|
Using Free-Breathing MRI to Characterize Heterogeneity of Pancreatic Fat in Children with Nonalcoholic Fatty Liver Disease |
| Jacob Story1, Sevgi Gokce Kafali2,3, Shu-Fu Shih2,3, Kara L. Calkins4, Shahnaz Ghahremani3, and Holden H. Wu2,3 | ||
1David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 2Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 3Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 4Department of Pediatrics, University of California Los Angeles, Los Angeles, CA, United States |
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Metabolic dysfunction in children is a major health issue. Pancreatic fat is a potential biomarker of metabolic dysfunction, but methodological difficulties have limited research on its role in at-risk children. This work used free-breathing abdominal MRI to quantify pancreatic fat and to characterize its heterogeneity in children with and without nonalcoholic fatty liver disease (NAFLD). Children with NAFLD had increased pancreatic fat that was heterogeneously distributed and predominantly located in the superior region. A simple region-of-interest-based measurement method failed to account for this heterogeneity, and thus underestimated pancreatic fat. Full segmentation pancreatic fat measurements correlated with markers of metabolic dysfunction. |
| 0355
|
16:00
|
Regional changes in brain development and cognitive outcome in infants with Congenital Heart Disease |
| Alexandra F Bonthrone1, Ralica Dimitrova1,2, Andrew Chew1, Christopher J Kelly1, Lucilio Cordero-Grande1,3, Olivia Carney1, Alexia Egloff1, Emer Hughes1, Katy Vecchiato1,2, John Simpson4, Joseph V Hajnal1,5, Kuberan Pushparajah4, Suresh Victor1, Chiara Nosarti1,6, Mary A Rutherford1, A. David Edwards1, Jonathan O’Muircheartaigh1,2, and Serena J Counsell1 | ||
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, 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BBN, Madrid, Spain, 4Paediatric Cardiology Department, Evelina London Children's Healthcare, London, United Kingdom, 5Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom |
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Infants with Congenital Heart Disease (CHD) are at high risk of neurodevelopmental disorders. We acquired presurgical neonatal T2-weighted MRI (N=66), cerebral oxygen delivery (CDO2; N=53), and 22-month cognitive and motor scores (N=44). Atypicality indices, representing the degree of deviation of a regional brain volume from the normative neonatal mean for a given gestational age, sex and postnatal age, were calculated. Reduced CDO2 was indirectly associated with lower cognitive scores through the mediating effect of negative bilateral caudate and thalami atypicality indices. The aetiology of cognitive impairments in CHD may encompass poor CDO2 leading to impaired caudate and thalamus growth. |
| 0356
|
16:00
|
Transcriptomic decoding of the human brain structural connectome through the 3rd trimester and early childhood |
| Chenying Zhao1,2, Gabriel Santpere3, Minhui Ouyang1, David Andrijevic4, Nenad Sestan4, and Hao Huang1,5 | ||
1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 3Neurogenomics group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), DCEXS, Universitat Pompeu Fabra, Barcelona, Spain, 4Department of Neuroscience and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, United States, 5Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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Transcriptome, the set of gene expression, is spatiotemporally heterogeneous across brain development. Under its regulation, dramatic changes in brain connectivity estimated through diffusion MRI is observed in early childhood. However, the association between the macroscopic structural connectome and microscopic transcriptome across early postnatal years is not clear. Here, we revealed this dynamic association between structural connectome and gene expression from a large cohort of 200 neonates and children through the 3rd trimester and early childhood. The changes of associated genes’ enrichment in cell types and biological processes across different ages shed light into the dynamic transcriptomic roles in connectome development. |
| 0357
|
16:00
|
Effect of transmit frequency on RF heating of metallic implants |
| Bart R. Steensma1, Janot P. Tokaya2, Peter R. S. Stijnman1, M. Arcan Erturk3, Cornelis A. T. van den Berg1, and Alexander J. E. Raaijmakers4 | ||
1Center for Image Sciences - Computational Imaging Group, University Medical Center Utrecht, Utrecht, Netherlands, 2TNO, Utrecht, Netherlands, 3Medtronic, Minneapolis, MN, United States, 4Biomedical Engineering - Medical Imaging Analysis, Eindhoven University of Technology, Eindhoven, Netherlands |
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The effect of transmit frequency on the risk of RF heating for elongated metallic implants was investigated through simulations in a phantom and a human model for 21, 64, 128 and 300 MHz. We demonstrate that for uniform E-field exposure, worst-case E-field enhancement at the tip reduces with increasing transmit frequency. However, for realistic E-field exposures, E-field enhancement increases with transmit frequency for similar B1+ levels. For similar head SAR levels, E-field enhancement for worst-case implant length is roughly equal for all transmit frequencies. In all cases implant length is the main determinant of RF heating. |
| 0358
|
16:00
|
Demystifying the effect of field strength on RF heating of conductive leads: A simulation study of SAR in DBS lead models during MRI at 1.5 T - 10.5 T |
| Ehsan Kazemivalipour1,2,3, Alireza Sadeghi-Tarakameh4, Boris Keil5, Yiğitcan Eryaman4, Ergin Atalar1,2, and Laleh Golestanirad3,6 | ||
1Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 4Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States, 5Institute of Medical Physics and Radiation Protection, Mittelhessen University of Applied Sciences, Giessen, Germany, 6Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States |
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We examined the effect of magnetic field strength, and by proxy RF resonance frequency, on RF heating of deep brain stimulation (DBS) lead models during RF exposure covering frequencies from 64MHz (1.5T) to 447MHz (10.5T). We report 1g-SAR at the tips of a cohort of 33 DBS implant models with realistic trajectories when the input power of RF coils was adjusted to impose safety limits based on either B1+ or global head SAR. We observed that coils with higher resonance frequency generated a lower 1g-SAR around implanted leads when the global head SAR was kept constant across different coils. |
| 0359 | 16:00
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An Investigation of SAR Values Induced Near an Orthopedic Implant at 7T Relative to Lower Fields: A Simulation Study |
| Paul S Jacobs1 and Andrew J Fagan1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States |
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Electromagnetic simulations were performed to investigate the maximum local 1g-averaged SAR induced in tissue adjacent to orthopedic screws of varying lengths across field strengths ranging from 3T to 7T. Simulated input power values were initially normalized to a constant transmitted power of 1W and further normalized to ensure a constant background B1+ value. SARmax was approximately 36% lower than the peak near 4T. The results demonstrate that RF-induced tissue heating near implants can, in certain circumstances, be lower at higher fields. |
| 0360 | 16:00
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Safe 7T MRI of tissues neighboring Mg-based biodegradable implants using parallel transmission |
| Mostafa Berangi1,2, Andre Kuehne1, and Thoralf Niendorf1,2 | ||
1MRI.TOOLS GmbH, Berlin, Germany, 2Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Bio-degradable implants have the benefit of eliminating implant removal surgery. Yet, it’s essential to monitor the implant and tissue\bone after implementation. MRI monitoring in the vicinity of the implant might be compromised by tissue heating and transmission field inhomogeneities. To address these challenges here an RF transceiver array is designed, manufactured and evaluated aiming to facilitate 7T MRI in the vicinity of implants. For this purpose, EMF simulations are performed to derive an optimum excitation vector that reduces local RF power deposition while ensuring a proper B1+-field. The RF array is evaluated in phantom experiments and benchmarked with the simulations. |
| 0361 | 16:00
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Combined heating of hip joint implant by radiofrequency and switched-gradient fields during MRI examination |
| Alessandro Arduino1, Umberto Zanovello1, Jeff Hand2, Luca Zilberti1, Rüdiger Brühl3, Mario Chiampi1, and Oriano Bottauscio1 | ||
1Istituto Nazionale di Ricerca Metrologica, Torino, Italy, 2School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 3Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany |
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Local heating effects in patients carrying orthopaedic implants have been studied mostly as a consequence of radiofrequency fields and, to a less extent, to gradient coil fields, separately. In this study the heating produced by the combined effects of both fields during realistic clinical sequences is numerically simulated in an anatomical human model carrying a CoCrMo hip implant. Risky situations have been identified, also showing that, sometimes, the gradient field heating can be most significant. The analysis suggests that criteria, based on whole-body SAR only, may not be sufficient to ensure patients’ safety. |
| 0362
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16:00
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Safe scanning of elongated implants with the sensor matrix QS: Comparison of orthogonal projection and null mode based pTx mitigation |
| Berk Silemek1, Frank Seifert1, Bernd Ittermann1, and Lukas Winter1 | ||
1Physikalisch-Technische Bundesanstalt (PTB) Braunschweig and Berlin, Berlin, Germany |
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The sensor Q Matrix ($$$Q_S$$$) concept is introduced for safe MRI of elongated implants without compromising imaging quality. For this purpose, small and low-cost sensors, parallel transmission (pTx) and the orthogonal projection method are sufficient without the need to perform simulations, safety testing or additional MR imaging. The $$$Q_S$$$ can also be implemented along with other pTx mitigation methods such as null modes. The $$$Q_S$$$ based orthogonal projection method and the null modes method are demonstrated in testbed and MRI experiments. |
| 0363 | 16:00
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Safe-MRI with stereo-electroencephalography (sEEG) for epilepsy patients |
| Flora Guarnotta1, Jeremie Clement1, Rachel Sparks1, and Özlem Ipek1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Epileptic seizure investigations with sEEG electrodes are limited to regions sampled and this may exclude relevant seizure network areas. Simultaneous EEG/fMRI may better elucidate the relationship whole-brain interactions and sEEG connectivity. However, excessive radiofrequency(RF) heating of implanted electrodes is showstopper. We investigated the role of parallel-transmit(pTx) RF coil arrays at 3 Tesla to control the RF-heating and local signal increases near the electrodes using computational field simulations. The pTx coils more specifically the 16ch was more efficient than the birdcage in terms of controlling the RF-field steering in the brain, which indicated less RF-heating near the contacts of the electrodes. |
| 0364
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16:00
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MR Safety Assessments of Active Implantable and Interventional Devices in a Single Measurement Setup |
| Ali Caglar Özen1,2, Simon Reiss1, Thomas Lottner1, Dursun Korel Yildirim3,4, Ozgur Kocaturk3,5, and Michael Bock1 | ||
1Deptartment of Radiology, Medical Physics, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany, 2German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 4Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 5Transmural Systems, Andover, MA, United States |
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Interventional devices such as actively visualized catheters or guidewires have a long conductive line between the source and the probe at the tip. Long conductive wires can interract with the electromagnetic fields generated by the transmit coils resulting in RF-induced heating of surrounding tissue. Existing standards do not cover partial immersion and dynamic motion of such devices. In this study, we propose an automated electric field detection and mapping system that is capable of performing hotspot detection, transfer function(TF) measurement and TF validation using different dipole antennae. RF-induced heating can be evaluated without moving the device, thus eliminating positioning errors. |
| 0365 | 16:00
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MRI Implant Safety: Method for RF Heating In-Vivo-Transfer Required from ASTM Standard F2182 |
| Manuel Murbach1, Thomas Doering2, and Gregor Schaefers2,3 | ||
1Murbach EMConsulting, Zurich, Switzerland, 2MR:comp GmbH, Gelsenkirchen, Germany, 3MRI-STaR - Magnetic Resonance Institute for Safety, Technology and Research GmbH, Gelsenkirchen, Germany |
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This study aims at exploring an alternative method (Tier 2.5) to estimate realistic in vivo E-fields at implant locations by including the directivity and length of the implants, which neglects non-relevant E-field components and too localized averaging schemes. The latest revision of the ASTM standard F2182-19e2 requires establishing a relation of the temperature increase near a metallic implant between A) the experimental measurement and B) the in vivo estimation in a representative patient population. The usage of currently standardized methods results in presumably overly conservative estimations, causing implant labels to be up to a factor 10 more restrictive. |
| 0366 | 16:00
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Radiofrequency-Induced Heating of Broken, Damaged, and Abandoned Leads |
| Aiping Yao1, Tolga Goren1, Theodoros Samaras2, Niels Kuster1,3, and Wolfgang Kainz4 | ||
1IT'IS Foundation, Zurich, Switzerland, 2Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece, 3ITET, ETH Zurich, Zurich, Switzerland, 4FDA, Silver Spring, MD, United States |
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To demonstrate the potential enhanced heating of abandoned (capped), damaged, or broken leads, we estimated in-vitro the deposited lead-tip power for a generic active implantable medical device (AIMD), intact and with wire breaks at regular intervals. We studied break size, a cut and capped lead, and a second wire parallel to the broken wire. The deposited lead-tip power enhancement was up to 30-fold over the intact lead. The presence of a nearby intact, or even broken, wire reduced this enhancement factor to ~3-fold. This shows the risk of extending MR-conditional labeling to broken, damaged, abandoned, or cut AIMD leads. |
| 0367
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16:00
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Hyperpolarized 13C-Pyruvate MRSI in Prediction of Response to Tyrosine Kinase Inhibition Therapy in Gastric Cancer |
| Shadi A Esfahani 1, Cody Callahan2, Nicholas M Rotile1, Peter D Caravan 1, Aaron K Grant 2, and Yi-Fen Yen1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States |
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Personalized treatment of gastric cancer remains a major challenge mainly due to lack of an optimal imaging method for detection of early response to treatment. We evaluated the role of Hyperpolarized [1-13C] Pyruvate Magnetic Resonance Spectroscopic Imaging (HP-13C MRSI) for quantitative measurement of early changes in glycolytic metabolism of gastric cancer models upon initiation of afatinib, a pan-receptor tyrosine kinase inhibitor. We showed that HP-13C MRSI is more sensitive for detection of early metabolic changes in gastric cancer after starting treatment with afatinib compared to 18F-FDG PET/MRI, and therefore can be used for early prediction of response to targeted therapies. |
| 0368 | 16:00
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Hyperpolarized 13C Metabolic Imaging of Patients with Pancreatic Ductal Adenocarcinoma |
| Jeremy W Gordon1, Hsin-Yu Chen1, Philip Lee1, Robert Bok1, Michael Ohliger1, Andrew Ko2, Eric Collisson2, Margaret Tempero2, Pelin Cinar2, Peder Larson1,3, and Zhen Jane Wang1,3 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Medicine, University of California, San Francisco, San Francisco, CA, United States, 3UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, CA, United States |
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Metabolic imaging of hyperpolarized [1-13C]pyruvate was performed in four patients with pancreatic ductal adenocarcinoma prior to chemotherapy. Compared to the normal appearing pancreas, higher lactate/pyruvate and lower alanine/pyruvate ratios were seen in the primary tumors. The alanine/lactate ratio, which reflects the relative enzymatic activity and metabolite pool sizes, was reduced 2- to 20-fold in the tumors and provided improved contrast between tumor and normal appearing pancreas over either the lactate/pyruvate or alanine/pyruvate ratio. These results indicate the potential for HP 13C MRI to be a novel tool to stage disease and assess treatment response in pancreatic cancer patients |
| 0369 | 16:00
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Zoomed Diffusion-Weighted Echo-Planar Imaging for the Evaluation of Periampullary Carcinomas |
| Jingjing Liu1, Jingliang Cheng1, and Jinxia Zhu2 | ||
1Department of MR Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China |
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We evaluated the efficacy of a zoomed diffusion-weighted echo-planar imaging (z-EPI) sequence to diagnose periampullary carcinoma compared with a conventional single-shot EPI (c-EPI) sequence. Better delineation of lesion conspicuities and margins were observed, as well as enhanced diagnostic confidence with z-EPI. The diagnostic accuracy increased by combining magnetic resonance cholangiopancreatography (MRCP) and z-EPI together. These findings showed remarkable image quality improvements for periampullary carcinomas using z-EPI. The ability to detect and delineate lesions using z-EPI was superior to that of c-EPI. Diagnostic accuracy was also attained, especially for small lesions. |
| 0370 | 16:00
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Assessment of pancreatic tumour response on LDE225, gemcitabine and nab-paclitaxel using Intravoxel Incoherent Motion MRI |
| Nienke P.M. Wassenaar1, Esther N. Pijnappel2, Remy Klaassen2, Femke Struik1, Jaap Stoker1, Jurgen H. Runge1, Hanneke W.M. van Laarhoven2, Johanna W. Wilmink2, Aart J. Nederveen1, and Oliver J. Gurney-Champion1 | ||
1Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands, 2Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands |
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Stromal deposition can become a physical and biological barrier that prevents chemotherapy from reaching pancreatic ductal adenocarcinoma (PDAC). In this study, 34 patients were treated with LDE225, which specifically targets tumour stroma, gemcitabine and nab-paclitaxel. Pancreatic tumour response was assessed using intravoxel incoherent motion (IVIM) MRI. We found that the diffusion in PDAC increased after chemotherapy, which may be explained by reduction of stroma or tumour necrosis. Furthermore, a positive correlation was found between overall survival and the change in tumour perfusion, underlining the fact that reperfusion of PDAC by LDE225 improves prognosis. |
| 0371 | 16:00
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Ex Vivo Radiologic-Histologic Correlation of Pancreas Adenocarcinoma: A Feasibility Study |
| Alexandra W. Acher1, Joseph Krenzer1, Krisztian Kovacs1, Soudabeh Kargar1, Ali Pirasteh1, Jitka Starekova1, TJ Colgan1, Victoria Rendell1, Daniel E. Abbott1, Erin Brooks1, Rashmi Agni1, Emily Winslow2, and Scott B. Reeder1 | ||
1University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 2Georgetown University, Washington DC, MD, United States |
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The purpose of this study was to assess the feasibility of a novel radiologic-histologic correlation device RHCD and ex vivo MRI to facilitate direct correlation of radiologic and histologic features of pancreas cancer. Our approach is based on previous radiologic-histologic correlation of pancreatic anatomy using cadaveric pancreas specimens. The final protocol was applied to co-localize pancreas cancer margins radiologically and histologically, as well as nodal burden in pancreaticoduodenectomy specimens. |
| 0372 | 16:00
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Prediction of Overall Survival in Patients with Pancreatic Cancer: Texture Analysis of ADC Value and Correlation with Intratumoral Necrosis |
| Yoshifumi Noda1, Nobuyuki Kawai1, Hiroyuki Tomita2, Takuma Ishihara3, Yoshiki Tsuboi3, Masaya Kawaguchi1, Tetsuro Kaga1, Fuminori Hyodo4, Akira Hara2, and Masayuki Matsuo1 | ||
1Department of Radiology, Gifu University, Gifu, Japan, 2Department of Tumor Pathology, Gifu University, Gifu, Japan, 3Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gifu, Japan, 4Department of Frontier Science for imaging, Gifu University, Gifu, Japan |
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The use of texture analysis in clinical images can provide surrogate information on tumor microenvironment and predict the prognosis of patients. In this study, we evaluate the utility of texture analysis of tumor ADC values to predict the overall survival in patients with pancreatic cancer and to correlate with pathological evaluated massive intratumoral necrosis. Our results showed that the kurtosis of tumor ADC values obtained from texture analysis is correlated with massive intratumoral necrosis and is associated with poor prognosis in patients with pancreatic cancer. |
| 0373 | 16:00
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Noise reduction in diffusion weighted MRI of the pancreas using an L1-regularized iterative SENSE reconstruction |
| Omar Kamal1,2, Sean McTavish1, Felix Harder1, Anh T. Van1, Johannes M. Peeters3, Kilian Weiss4, Marcus R. Makowski1, Dimitrios C. Karampinos1, and Rickmer F. Braren1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Department of Radiology, South Egypt Cancer Institute, Assiut, Egypt, 3Philips Healthcare, Best, Netherlands, 4Philips GmbH, Hamburg, Germany |
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DWI plays a growing role in the imaging of the pancreas. Current abdominal DWI scans have a large field of view with limited resolution. Approaches for a higher resolution single-shot DW-EPI with SENSE often suffer from g-factor-induced noise band-like artifacts from which the pancreas is significantly affected due to its central location. We use an L1-regularized iterative SENSE reconstruction to obtain high resolution single shot DW-EPI with reduced noise in patients with pancreatic cancer. The employed method reduces the noise band-like artifacts over the pancreas and eliminates the noise bias from the ADC measurements without lengthening scan times. |
| 0374 | 16:00
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High-precision neural-network discrimination of human plasma samples to detect pancreatic cancer using specialized data-augmentation method |
| Meiyappan Solaiyappan1, Santosh Kumar Bharti1, Paul T Winnard Jr1, Mohamad Dbouk2, Michael G Goggins2,3,4, and Zaver M Bhujwalla1,3,5 | ||
1Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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The insidious growth of pancreatic cancer is a major factor contributing to its lethality. Only ~20% of pancreatic cancers are resectable by the time they are detected. Early detection of pancreatic cancer through routine screening is clearly an unmet clinical need. Here we have applied neural-network analysis to 1H magnetic resonance spectra of human plasma samples to differentiate between healthy subjects (control), subjects with benign lesions, and subjects with pancreatic ductal adenocarcinoma (PDAC). Our data support developing a neural-network approach to identify PDAC from 1H MRS of plasma samples. |
| 0375 | 16:00
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Application of APTw imaging in prediction of lymph node metastasis in rectal cancer |
| Mingxiao Wang1, AIlian Liu1, Yuhui Liu1, Anliang Chen1, wan Dong1, Xinao Wang1, Qingwei Song1, Xinru Zhang1, Liangjie Lin2, and Jiazheng Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China, 2Philips Healthcare,Beijing,China, Beijing, China |
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The purpose of this study was to evaluate the value of amide proton transfer weighted (APTw) imaging in the identification of lymph node metastasis in rectal cancer. Results showed that, for patients with rectal cancer, the APTw value in group with lymph node metastasis was significantly lower than those in group without lymph node metastasis. APTw imaging can be used as a promising non-invasive method to predict the lymph node metastasis in rectal cancer.
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| 0376 | 16:00
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Prognostic significance of MRI-detected mesorectal fat thickness in rectal cancer; a risk factor for distance metastasis |
| Pratik Tripathi1, Zhen Li1, Yaqi Shen1, Xuemei Hu1, and Daoyu Hu1 | ||
1Department of Radiology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China |
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Our study got a step closer to probable cause of the poor prognosis in rectal cancer in obese patients. The correlation of the area within mesorectum with BMI and also the correlation between the mesorectal fat thickness and distant metastasis signifies the need of selection of optimum treatment modality for obese patients in rectal cancer. This preliminary study may shed some light on the current scenario and show probable direction for the solution. Selection of different treatment modalities and new surgical techniques may be required to improve the prognosis. |
| 0377
|
16:00
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Blood-CSF Barrier Imaging in the Human Brain with Arterial Spin Labeling |
| Leonie Petitclerc1,2, Lydiane Hirschler1, Jack A. Wells3, David L. Thomas4,5,6, and Matthias J.P. van Osch1,2 | ||
1C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Leiden Institute for Brain and Cognition (LIBC), Leiden, Netherlands, 3UCL Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, United Kingdom, 4Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 6Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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In order to measure the function of the blood-CSF barrier (BCSFB), a modified ASL experiment is introduced. This is accomplished with multiple time-points, including long labeling duration and post-labeling delay, and an echo train of 8 TEs from 10-1837ms. Long-T2 ASL signal, attributable to the CSF, was found both in the choroid plexus and around the cortex. Fitting of this signal to two models (a simple triexponential and a dynamic compartmental model) reveals an amount of CSF signal about 5 times lower than the perfusion. The transfer time of water across the BCSFB is estimated at around 100s. |
| 0378 | 16:00
|
Arterial, venous and cerebrospinal fluid flow oscillations in real-time phase contrast MRI: type of breathing matters |
| Maria Marcella Lagana1, Noam Alperin2, Laura Pelizzari1, Ning Jin3, Domenico Zaca4, Marta Cazzoli1, Giuseppe Baselli5, and Francesca Baglio1 | ||
1CADiTeR, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, 2University of Miami, Miami, FL, United States, 3MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Cleveland, OH, United States, 4Siemens Healthcare, Milan, Italy, 5Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy |
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We used real-time phase contrast MRI for assessing the cardiac and respiratory influence on the neck arterial and venous flows, and on the cervical cerebrospinal fluid (CSF) flow. Changes due to the type of breathing were investigated acquiring six healthy volunteers for 60s during normal and deep breathing. The power spectra were computed from the flow rates. Two main peaks, corresponding to the breathing rate (BR) and the heart rate (HR), were found. Comparing deep breathing to normal breathing, we observed the following trends: decrement of average blood flow rates; reversal of average CSF flow rate; increment of BR power. |
| 0379 | 16:00
|
Phase contrast MRI analysis of neurofluids in patients with Meniere’s disease and jugular venous stenosis. |
| Nivedita Agarwal1, Olivier Baledent2, Giuseppe Nicolò Frau3, and Sabino Walter Della Sala1 | ||
1Radiology, APSS Ospedale Santa Maria del Carmine, Rovereto, Italy, 2University of Amiens, Amiens, France, 3Otorhinolaryngology, APSS Ospedale Santa Maria del Carmine, Rovereto, Italy |
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Meniere’s disease patients have a high incidence of abnormal neck venous vessels. An inefficient intracranial venous outflow would disturb global neurofluids dynamics and alter intracranial pressure. We used phase contrast MRI to correlate the dynamics of total arterial, total venous and CSF with morphological alterations in internal jugular veins (IJV). Our results show that although >80% of patients have IJV stenosis and isolated CSF and/or blood flow abnormalities, the global neurofluid dynamics remained unhampered. These results underscore the optimal compensation provided by collateral venous pathways and suggests that PC-MRI is an important adjunct clinical tool to to study neurofluids dynamics. |
| 0380 | 16:00
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Visually-evoked cerebrospinal fluid flow in the human brain during wakefulness |
| Stephanie D Williams1, Nina E Fultz2, Nicole Tacugue3, Zenia Valdiviezo3, and Laura D Lewis2 | ||
1Psychological and Brain Sciences, Boston University, Boston, MA, United States, 2Biomedical Engineering, Boston University, Boston, MA, United States, 3Boston University, Boston, MA, United States |
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Cerebrospinal fluid (CSF) flow is essential for brain health, and previous studies have shown that it is driven by systemic physiological factors, such as breathing. Recent work has shown that neural activity is coupled to CSF flow during sleep, but whether this relationship reflects a causal link has not been tested. Here we investigated whether driving neural activity can induce changes in CSF flow. We found that we could induce CSF flow in the human brain during the awake state by manipulating hemodynamics with stimulus-evoked neural activity. |
| 0381 | 16:00
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Upright vs. Supine MRI: Effects of body position on craniocervical CSF flow |
| Marco Muccio1, David Chu2, Lawrence Minkoff2, Neeraj Kukarni2, Brianna Damadian2, Raymond Damadian2, and Yulin Ge1 | ||
1Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States, 2FONAR Corporation, Melville, NY, United States |
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CSF exchange between the spinal cord and the cranium increases in asymptomatic human subjects when body position is shifted from upright to supine. This appears to be caused by an increase in CSF flow during diastole, in the caudo-cranial direction, and systole, in cranio-caudal direction. Extrapolation of the results showed that within a 24 hour timescale, the more time spent in the supine position (asleep) correlated with more CSF exchanged between the spinal cord and the intracranial space. These alterations can therefore play a major role in brain waste clearance, and possibly many neurodegenerative diseases as well as age-related ailments. |
| 0382
|
16:00
|
Fast whole brain MR imaging of dynamic susceptibility contrast changes in the CSF (cDSC MRI) |
| Di Cao1,2, Ningdong Kang1, Jay J. Pillai1, Xinyuan Miao1,2, Adrian Paez2, Xiang Xu1,2, Jiadi Xu1,2, Xu Li1,2, Qin Qin1,2, Peter C.M. Van Zijl1,2, Peter Barker1, and Jun Hua1,2 | ||
1Johns Hopkins University, Baltimore, MD, United States, 2Kennedy Krieger Institute, Baltimore, MD, United States |
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The circulation of cerebrospinal fluid (CSF) influences various aspects of brain physiology. This study aims to develop and optimize MRI sequences that can detect dynamic signal changes in the CSF after Gd administration with a sub-millimeter spatial resolution, temporal resolution of <10s, and whole brain coverage. Bloch simulations were performed to determine optimal imaging parameters. Simulations were validated with phantom scans. An optimized turbo-spin-echo (TSE) sequence was performed on healthy volunteers on 3T and 7T. In human scans, dynamic signal changes after Gd injection in the CSF were detected at location where cerebral lymphatic vessels were identified in previous studies. |
| 0383 | 16:00
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The association of intracranial arterial pulsatility with enlarged perivascular spaces |
| M. van den Kerkhof1,2, M.M. van der Thiel1,2, I.H.G.B. Ramakers2,3, R.J. van Oostenbrugge2,4,5, A.A. Postma1, A.A. Kroon5,6, J.F.A. Jansen1,2,7, and W.H. Backes1,2,5 | ||
1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands, 4Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 5School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands, 6Department of Internal Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 7Department of Electrical Engineering, Eindhoven University of Technology, Maastricht, Netherlands |
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Intracranial vessel wall alterations may lead to an increased blood flow pulsatility and the enlargement of perivascular spaces (ePVS). To examine the relationship between these measures, this 7T MRI study applied phase contrast MRI to measure blood flow velocity in the middle cerebral artery and lenticulostriate arteries (LSAs) and obtained ePVS visual rating scores. An increased LSA pulsatility index was found to be related to a higher number of ePVS in the basal ganglia and centrum semiovale. These findings are in support of underlying alterations of the cerebral small vessel wall, which influence both the ePVS and the pulsatility. |
| 0384
|
16:00
|
In vivo characterization of the optic nerve glymphatic system |
| Muneeb A Faiq1, Vishnu Adi1, Anoop Sainulabdeen1, Sophia Khoja1, Carlos Parra1, Giles Hamilton-Fletcher1, Choong H Lee2, Jiangyang Zhang2, Gadi Wollstein1, Joel S Schuman1, and Kevin C Chan1,2 | ||
1Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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To date, it remains unclear if a functional glymphatic system exists in the optic nerve (ON), partly because of limited in vivo methods for characterizing the cerebrospinal fluid (CSF) dynamics in the deeper brain regions. Here, we measured the spatiotemporal profiles in the ON using contrast-enhanced MRI after intrathecal gadolinium infusion, and observed indications for the existence of a molecular size-dependent and aquaporin-4 (AQP4) modulated glymphatic-like system in the ON. These findings may provide imperative insights into the waste clearance mechanisms of the visual system in health and disease. |
| 0385
|
16:00
|
Cardiac disease may exacerbate age-related white matter disruptions: improvements are feasible after cardiac rehabilitation |
| Stefan E. Poirier1,2, Neville Suskin3, Keith S. St. Lawrence1,2, J. Kevin Shoemaker4, and Udunna C. Anazodo1,2,5,6 | ||
1Lawson Imaging, Lawson Health Research Institute, London, ON, Canada, 2Medical Biophysics, Western University, London, ON, Canada, 3Cardiology, Western University, London, ON, Canada, 4School of Kinesiology, Western University, London, ON, Canada, 5Clinical Neurological Sciences, Western University, London, ON, Canada, 6Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada |
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White matter (WM) degeneration is associated with cognitive impairment in coronary artery disease (CAD). We used diffusion tensor imaging to assess WM integrity in brains of CAD patients before and after cardiac rehabilitation (CR) and in young and old healthy controls (HC). Widespread WM changes were observed between older and younger HC, while robust WM changes were observed in WM regions linked to cognition in CAD patients at baseline with improvements following CR. In CAD, disease manifestation and brain aging may contribute to changes in brain WM macrostructure with potential influence on cognition, and these may be quelled by CR. |
| 0386
|
16:00
|
An interstitial fluid proxy of altered glymphatics in Alzheimer’s disease: the necessity of three-directional intravoxel incoherent motion |
| Merel M. van der Thiel1,2, Whitney M. Freeze2,3,4, Joost de Jong1,2, Inez H.G.B. Ramakers2,4, Walter H. Backes1,2,5, and Jacobus F.A. Jansen1,2,6 | ||
1Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health & Neuroscience, Alzheimer Center Limburg, Maastricht, Netherlands, 3Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 4Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands, 5School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands, 6Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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The interstitial fluid fraction assessed with spectral analysis in intravoxel-incoherent motion MRI can be a potential, non-invasive method to identify tissue damage on a microscopic level and to investigate glymphatic alterations within different disease states. The current multi-dimensional approach has a long acquisition time, thereby lowering the feasibility of IVIM as a measurement of ISF in clinical practice. This study simultaneously investigates potential group differences in the ISF-fraction in Alzheimer’s disease, mild cognitive impairment, and controls, and explores the possibility to shorten acquisition time drastically by examining the contribution of individual primary directions. |
16:00
|
Introduction | |
| Matt Bernstein | ||
16:30
|
Expanding Roles of Clinical MR Scientists Around the Globe: Europe | |
| Michael Bock | ||
| University Medical Center Freiburg | ||
17:00
|
Expanding Roles of Clinical MR Scientists Around the Globe: North America | |
| John Hazle | ||
| University of Texas M.D. Anderson Cancer Center | ||
17:30
|
Expanding Roles of Clinical MR Scientists Around the Globe: The Rest of the World | |
| Yiping Du | ||
| Shanghai Jiaotong University | ||
18:00
|
Board Certifications for Clinical MR Scientists | |
| Sachin Jambawalikar | ||
| Columbia University | ||
18:30
|
MR Safety | |
| Heidi Edmonson | ||
| Mayo Clinic | ||
19:00
|
MR Siting & Acceptance Testing | |
| Yong Zhou | ||
| Spectrum Health | ||
19:30
|
Clinical Protocols, Quality Assurance & MR Accreditation | |
| Chen Lin | ||
| Mayo Clinic | ||
20:00
|
Panel Discussion | |
| H. Doug Morris | ||
| The Jackson Laboratory | ||
20:30
|
Panel Discussion | |
| Xiaohong Joe Zhou | ||
| University of Illinois at Chicago | ||
21:00
|
Panel Discussion | |
| Matt Bernstein | ||
| Mayo Clinic | ||
21:30
|
Panel Discussion | |
| Peter Hardy | ||
| University of Kentucky | ||
0:00
|
Magnetization Transfer Contrast: Historical Perspective | |
| Greg Stanisz | ||
| Sunnybrook Research Institute | ||
0:00
|
Fast Macromolecular Proton Fraction Mapping: Physical Principles & Clinical Applications | |
| Alexey Samsonov | ||
| University of Wisconsin – Madison | ||
0:00
|
Histological Validation & Preclinical Applications of MPF as Myelin Biomarker | |
| Marina Khodanovich | ||
| Tomsk State University | ||
0:00
|
High-Resolution 3D Macromolecular Proton Fraction Mapping of the Human Brain: A New Tool for Quantitative Neuroscience | |
| Neva Corrigan | ||
| University of Washington | ||
| 17:00 | The Concept & History of Open-Source & Free Software |
| Maria Eugenia Caligiuri |
| 17:30 | Open-Source Licenses & Their Implications on Your Work |
| Kevin Johnson |
| 0387 | 18:00
|
Deep-Learning-Based Motion Correction For Quantitative Cardiac MRI |
| Alfredo De Goyeneche1, Shuyu Tang1, Nii Okai Addy1, Bob Hu1, William Overall1, and Juan Santos1 | ||
1HeartVista, Inc., Los Altos, CA, United States |
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We developed a deep-learning-based approach for motion correction in quantitative cardiac MRI, including perfusion, T1 mapping, and T2 mapping. The proposed approach consists of a segmentation network and a registration network. The segmentation network was trained using 2D short-axis images for each of the three sequences, while the same registration network was shared between all three sequences. The proposed approach was faster and more accurate than a popular traditional registration method. Our work is beneficial for building a faster and more robust automated processing pipeline to obtain CMR parametric maps. |
| 0388
|
18:00
|
Self-supervised Cardiac MRI Denoising with Deep Learning |
| Junshen Xu1 and Elfar Adalsteinsson1 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States |
||
Image denoising is of great importance for medical imaging system, since it can improve image quality for disease diagnosis and further image processing. In cardiac MRI, images are acquired at different time frames to capture the cardiac dynamic. The correlation among different time frames makes it possible to improve denoising results with information from other time frames. In this work, we propose a self-supervised deep learning framework for cardiac MRI denoising. Evaluation on in vivo data with different noise statistics shows that our method has comparable or even better performance than other state-of-the-art unsupervised or self-supervised denoising methods. |
| 0389 | 18:00
|
Multi-task Deep Learning for Late-activation Detection of Left Ventricular Myocardium |
| Jiarui Xing1, Sona Ghadimi2, Mohammad Abdi2, Kenneth C Bilchick3, Frederick H Epstein2, and Miaomiao Zhang1 | ||
1Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States, 2Department of Biomedical Engineering, University of VIrginia, Charlottesville, VA, United States, 3School of Medicine, University of Virginia, Charlottesville, VA, United States |
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Implantation of the left ventricular pacing lead at the area with delayed activation is critical to Cardiac Resynchronization Therapy (CRT) response. Current approaches of detecting late-activated regions of left ventricles (LV) are slow with unsatisfied accuracy, particularly in cases where scar tissues exist in the patient’s heart. This work presents a multi-task deep learning algorithm to automatically identify late-activated regions of LV, as well as estimating the Time to the Onset of circumferential Shortening (TOS) using spatio-temporal cardiac DENSE MR images. Experimental results show that our algorithm provides ultra-fast identification of late-activated regions and estimated TOS with increased accuracy. |
| 0390
|
18:00
|
HDnGAN: High-fidelity ultrafast volumetric brain MRI using a hybrid denoising generative adversarial network |
| Ziyu Li1, Qiyuan Tian2, Chanon Ngamsombat2,3, Samuel Cartmell4, John Conklin2,4, Augusto Lio M. Gonçalves Filho2,4, Wei-Ching Lo5, Guangzhi Wang1, Kui Ying6, Kawin Setsompop7,8, Qiuyun Fan2, Berkin Bilgic2, Stephen Cauley2, and Susie Y Huang2,4 | ||
1Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 3Department of Radiology, Siriraj Hospital, Mahidol University, Bangkok, Thailand, 4Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 5Siemens Medical Solutions, Boston, MA, United States, 6Department of Engineering Physics, Tsinghua University, Beijing, China, 7Department of Radiology, Stanford University, Stanford, CA, United States, 8Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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Highly accelerated high-resolution volumetric brain MRI is intrinsically noisy. A hybrid generative adversarial network (GAN) for denoising (entitled HDnGAN) consisting of a 3D generator and a 2D discriminator was proposed to improve the SNR of highly accelerated images while preserving realistic textures. The novel architecture benefits from improved image synthesis performance and increased training samples for training the discriminator. HDnGAN's efficacy is demonstrated on 3D standard and Wave-CAIPI T2-weighted FLAIR data acquired in 33 multiple sclerosis patients. Generated images are similar to standard FLAIR images and superior to Wave-CAIPI and BM4D-denoised images in quantitative evaluation and assessment by neuroradiologists. |
| 0391 | 18:00
|
Deep learning-based thoracic cavity segmentation for hyperpolarized 129Xe MRI |
| Suphachart Leewiwatwong1, Junlan Lu2, David Mummy3, Isabelle Dummer3,4, Kevin Yarnall5, Ziyi Wang1, and Bastiaan Driehuys1,2,3 | ||
1Biomedical Engineering, Duke University, Durham, NC, United States, 2Medical Physics, Duke University, Durham, NC, United States, 3Radiology, Duke University, Durham, NC, United States, 4Bioengineering, McGill University, Montréal, QC, Canada, 5Mechanical Engineering and Materials Science, Duke University, Durham, NC, United States |
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Quantifying hyperpolarized 129Xe MRI of pulmonary ventilation and gas exchange requires accurate segmentation of the thoracic cavity. This is typically done either manually or semi-automatically using an additional proton scan volume-matched to the gas image. These methods are prone to operator subjectivity, image artifacts, alignment/registration issues, and SNR. Here we demonstrate using a 3D convolutional neural network (CNN) to automatically and directly delineate the thoracic cavity from 129Xe MRI alone. This 3D-CNN uses a combination of Dice-Focal, perceptual loss, and training with template-based data augmentation to demonstrate thoracic cavity segmentation with a Dice score of 0.955 vs. expert readers. |
| 0392
|
18:00
|
Learning-based non-linear registration robust to MRI-sequence contrast |
| Malte Hoffmann1,2, Benjamin Billot3, Juan Eugenio Iglesias1,2,3,4, Bruce Fischl1,2,4, and Adrian V Dalca1,2,4 | ||
1Department of Radiology, Harvard Medical School, Boston, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Centre for Medical Image Computing, University College London, London, United Kingdom, 4Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, United States |
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We introduce a novel strategy for learning deformable registration without acquired imaging data, producing networks robust to MRI contrast. While classical methods repeat an optimization for every new image pair, learning-based methods require retraining for accurate registration of unseen image types. To address these inefficiencies, we leverage a generative strategy for diverse synthetic label maps and images that enable training powerful networks that generalize to a broad spectrum of MRI contrasts. We demonstrate robust and accurate registration of arbitrary unseen MRI contrasts with a single network, thereby eliminating the need for retraining models. |
| 0393
|
18:00
|
Image domain Deep-SLR for Joint Reconstruction-Segmentation of Parallel MRI |
| Aniket Pramanik1 and Mathews Jacob1 | ||
1Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, United States |
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We present a novel framework for the joint reconstruction and segmentation of parallel MRI (PMRI) brain data. We introduce an image domain deep network for calibrationless recovery of undersampled PMRI data. It is deep-learning based generalization of local low-rank approaches for uncalibrated PMRI recovery including CLEAR. The image domain approach exploits additional annihilation relations compared to k-space based approaches and hence offers improved performance. To minimize segmentation errors resulting from undersampling artifacts, we combined the proposed scheme with a segmentation network and trained it end-to-end. It offers improved reconstruction with reduced blurring and sharper edges than independently trained reconstruction network. |
| 0394
|
18:00
|
MRI-Based Response Prediction to Immunotherapy of Late-Stage Melanoma Patients Using Deep Learning |
| Annika Liebgott1,2, Louisa Fay1, Viet Chau Vu2, Bin Yang1, and Sergios Gatidis2 | ||
1Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 2Department of Radiology, University Hospital of Tuebingen, Tuebingen, Germany |
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The treatment of malignant melanoma with immunotherapy is a promising approach to treat advanced stages of the disease. However, the treatment can cause serious side effects and not every patient responds to it, which means crucial time may be wasted by an ineffective treatment. Assessment of the possible therapy response is hence an important research issue. The research presented in this study focuses on the investigation of the potential of medical imaging and machine learning to solve this task. To this end, we trained and compared different deep learning models on multi-modal PET/MR images to differentiate non-responsive from responsive patients. |
| 0395
|
18:00
|
Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network |
| Jonas Denck1,2,3, Jens Guehring3, Andreas Maier1, and Eva Rothgang2 | ||
1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany, 2Department of Industrial Engineering and Health, Technical University of Applied Sciences Amberg-Weiden, Weiden, Germany, 3Siemens Healthcare, Erlangen, Germany |
||
We trained an image-to-image GAN that incorporates the sequence parameterizations in terms of the acquisition parameters repetition time and echo time into the image synthesis. We trained our model on the generation of synthetic fat-saturated MR knee images from non-fat-saturated MR knee images conditioned on the acquisition parameters, enabling us to synthesize MR images with varying image contrast. Our approach yields an NMSE of 0.11 and PSNR of 23.64, and surpasses the performance of a pix2pix [1] benchmark method. It can potentially be used to synthesize missing/additional MR contrasts and for customized data generation to support AI training. |
| 0396 | 18:00
|
Image Registration of Perfusion MRI Using Deep Learning Networks |
| Zongpai Zhang1, Huiyuan Yang1, Yanchen Guo1, Lijun Yin1, David C. Alsop2, and Weiying Dai1 | ||
1State University of New York at Binghamton, Binghamton, NY, United States, 2Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, United States |
||
Convolutional neural network (CNN) has demonstrated its accuracy and speed in image registration of structural MRI. We designed an affine registration network (ARN), based on CNN, to explore its feasibility on image registration of perfusion fMRI. The six affine parameters were learned from the ARN using both simulated and real perfusion fMRI data and the transformed images were generated by applying the transformation matrix derived from the affine parameters. The results demonstrated that our ARN markedly outperforms the iteration-based SPM algorithm both in simulated and real data. The current ARN is being extended for deformable fMRI image registration. |
18:00
|
What I Look for in a Myocardial Biopsy: A Pathologist's View | |
| Richard Mitchell | ||
| Brigham & Women's Hospital, Harvard University | ||
18:30
|
What Can Diffusion Tensor MRI Detect? | |
| Elizabeth Tunnicliffe | ||
| University of Oxford | ||
19:00
|
The Potential of CEST | |
| Moriel Vandsburger | ||
| University of California, Berkeley | ||
19:30
|
MRI Relaxometry: Standard & Emerging Techniques | |
| Walter Witschey | ||
| University of Pennsylvania | ||
20:00
|
All We Need Is Blood: The Case for Omics | |
| Hannah Valantine | ||
| National Institutes of Health, Stanford University | ||
| 0397
|
18:00
|
How do we know we measure tissue parameters, not the prior? |
| Santiago Coelho1, Els Fieremans1, and Dmitry S. Novikov1 | ||
1Center for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI$^2$R), Department of Radiology, New York University School of Medicine, New York, NY, United States |
||
In the machine-learning (ML) era, we are transitioning from max-likelihood parameter estimation to learning the mapping from measurements to model parameters. While such maps look smooth, there is danger of them becoming too smooth: At low SNR, ML estimates become the mean of the training set. Here we derive fit quality (MSE) as function of SNR, and show that MSE for various ML methods (regression, neural-nets, random forest) approaches a universal curve interpolating between Cramér-Rao bound at high SNR, and variance of the prior at low SNR. Theory is validated numerically and on white matter Standard Model in vivo. |
| 0398
|
18:00
|
Gradient waveform design for cross-term-compensated diffusion MRI: Demonstration of tensor-valued encoding in phantom and simulations |
| Filip Szczepankiewicz1 and Jens Sjölund2 | ||
1Clinical Sciences Lund, Lund University, Lund, Sweden, 2Department of Information Technology, Uppsala University, Uppsala, Sweden |
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Diffusion weighted imaging is perturbed by the presence of background gradients, or so-called 'cross-terms,' causing bias in estimated parameters and fiber orientations. In this work, we present a novel gradient waveform design that removes the cross-term sensitivity entirely. This design is valuable for diffusion MRI methods that are otherwise corrupted by background gradients, and it also facilitates arbitrary sequence timing, b-tensor shapes and suppression of concomitant gradient effects. |
| 0399
|
18:00
|
Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling |
| Misha P. T. Kaandorp1,2,3, Sebastiano Barbieri4, Remy Klaassen5, Hanneke W.M. van Laarhoven5, Hans Crezee6, Peter T. While2,3, Aart J. Nederveen1, and Oliver J. Gurney-Champion1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 3Department of Circulation and Medical Imaging, NTNU: Norwegian University of Science and Technology, Trondheim, Norway, 4Centre for Big Data Research in Health, UNSW, Sydney, Australia, 5Department of Medical Oncology, Amsterdam UMC, Amsterdam, Netherlands, 6Department of Radiation Oncology, Amsterdam UMC, Amsterdam, Netherlands |
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We implemented an improved unsupervised physics-informed deep neural network approach for intravoxel-incoherent motion modeling to DWI data by exploring several hyperparameters. Whereas the original IVIM-NETorig showed high dependency between the predicted IVIM parameters, our optimized approach resolved this high dependency, produced better accuracy and was more consistent. In simulations, IVIM-NEToptim outperformed least-squares and Bayesian fitting approaches. In patients with pancreatic ductal adenocarcinoma, IVIM-NEToptim produced substantially less noisy parameter maps and lower intersession within-subject standard deviations than the alternatives. IVIM-NEToptim also detected the most individual patients with significant parameter changes in the group of patients who received chemoradiotherapy. |
| 0400 | 18:00
|
Training Data Distribution Significantly Impacts the Estimation of Tissue Microstructure with Machine Learning |
| Noemi G. Gyori1,2, Marco Palombo1, Christopher A. Clark2, Hui Zhang1, and Daniel C. Alexander1 | ||
1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Great Ormond Street Institute of Child Health, University College London, London, United Kingdom |
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The performance of supervised machine learning tools is only as good as the data used to train them. In this work, we investigate the impact of training data distribution on tissue microstructure estimates in the human brain. We focus on two strategies: uniform sampling from the entire parameter space and sampling from parameter combinations observed using traditional model fitting. We demonstrate that training on previously observed combinations may be advantageous for detecting small variations in healthy tissue. However, for detecting atypical tissue abnormalities, our results favour uniform training data sampling in which all plausible parameter combinations are represented. |
| 0401 | 18:00
|
On the use of neural networks to fit high-dimensional microstructure models |
| João Pedro de Almeida Martins1,2, Markus Nilsson1, Björn Lampinen3, Marco Palombo4, Carl-Fredrik Westin5,6, and Filip Szczepankiewicz1,5,6 | ||
1Department of Clinical Sciences, Radiology, Lund University, Lund, Sweden, 2Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 3Department of Clinical Sciences, Medical Radiation Physics, Lund University, Lund, Sweden, 4Centre for Medical Image Computing and Dept of Computer Science, University College London, London, United Kingdom, 5Radiology, Brigham and Women’s Hospital, Boston, MA, United States, 6Harvard Medical School, Boston, MA, United States |
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The application of function fitting neural networks in microstructural MRI has so far been restricted to lower-dimensional biophysical models. Moreover, the data sufficiency requirements of learning-based approaches remain unclear. Here, we use supervised learning to vastly accelerate the fitting of a high-dimensional relaxation-diffusion model of tissue microstructure and develop analysis tools for assessing the accuracy and sensitivity of model fitting networks. The developed learning-based fitting pipelines were tested on relaxation-diffusion data acquired with optimal and sub-optimal protocols. We found no evidence that machine-learning algorithms can correct for a degenerate fitting landscape or replace a careful design of the acquisition protocol. |
| 0402
|
18:00
|
b-M1-Optimized Waveforms for Improved Stability of Quantitative Intravoxel Incoherent Motion DWI |
| Gregory Simchick1,2, Ruiqi Geng1,2, Yuxin Zhang1,2, and Diego Hernando1,2,3 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
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Multiple studies have demonstrated the potential utility of intravoxel incoherent motion (IVIM) DWI in the evaluation of liver disease. However, IVIM estimates obtained using conventional monopolar diffusion gradient waveforms often suffer from high variability and instability. In this work, Cramer-Rao lower bound (CRLB) optimization was performed to determine the optimal sampling of b-M1-space based on noise performance. Then, based on this optimized sampling, b-M1-optimized waveforms were designed and employed in order to obtain IVIM estimates with improved stability in the right lobe of the liver in volunteers in comparison to conventional monopolar waveforms. |
| 0403
|
18:00
|
Resolving the underlying sources of diffusion kurtosis in focal ischemia by Correlation Tensor MRI |
| Rita Alves1, Rafael Neto Henriques1, Sune Nørhøj Jespersen2,3, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 3Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark |
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Correlation Tensor MRI (CTI) has been recently introduced for resolving the underlying sources of diffusional kurtosis. Here, we aimed to resolve the underlying kurtosis sources in ischemic tissue. Ex and in vivo CTI experiments in a mouse model of ischemia revealed enhanced sensitivity and specificity compared to their conventional counterparts. Our results suggest that microscopic kurtosis – associated with restricted diffusion and structural disorder – substantially contributes to the total kurtosis excess likely reflecting excitotoxic properties. Kurtosis associated with diffusion magnitude variance better reflected edema and free water. These first results are promising for elucidating biological factors in ischemia. |
| 0404
|
18:00
|
Enforcing positivity constraints in Q-space Trajectory Imaging (QTI) allows for reduced scan time |
| Deneb Boito1,2, Magnus Herberthson3, Tom Dela Haije4, and Evren Özarslan1,2 | ||
1Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden, 3Department of Mathematics, Linköping University, Linköping, Sweden, 4Department of Computer Science, University of Copenhagen, Copenhagen, Denmark |
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We explore the feasibility of reducing scan time while retaining interpretable results when analysing multidimensional diffusion MRI data. The methods commonly employed for the estimation of the QTI model parameters might suffer severely from data under-sampling, making their use limited in clinical practice where acquisition time is limited. We show that by imposing relevant positivity constraints in the estimation of the mean, covariance, and moment tensors, the QTI+ framework strongly improves the quality of the derived maps, particularly so for data acquisition protocols featuring few number of volumes. |
| 0405
|
18:00
|
Random matrix theory denoising minimizes cross-scanner,-protocol variability and maximizes repeatability of higher-order diffusion metrics |
| Benjamin Ades-Aron1, Santiago Coelho1, Jelle Veraart1, Gregory Lemberskiy1, Genevieve Barroll1, Steven Baete1, Timothy Shepherd1, Dmitry S. Novikov1, and Els Fieremans1 | ||
1Radiology, NYU School of Medicine, New York, NY, United States |
||
Translation of diffusion MRI-derived quantitative biomarkers into clinical decision making has been hampered by within-scanner and cross-scanner variability. We compare intra-scan, cross-scan, and cross-protocol variability of multi-shell diffusion MRI for three subjects and evaluated two Random Matrix Theory (RMT)-based denoising techniques to enhance repeatability. Without denoising, best scan-rescan repeatability was found for intra-scanner measurements with the highest SNR (shortest TE), RMT-based denoising greatly reduced variability across scanners and TE, resulting in coefficients of variation about 5% for all comparisons. Increased precision across scanners and protocols should increase statistical power and further enable clinical trials of quantitative higher-order diffusion MRI. |
| 0406 | 18:00
|
A time-efficient OGSE sequence with spiral readout for an improved depiction of diffusion dispersion |
| Eric Seth Michael1, Franciszek Hennel1, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
||
Oscillating gradient spin-echo (OGSE) sequences typically suffer low diffusion sensitization and long echo times, thereby compromising the diffusion-to-noise ratio (DNR). To address these issues, recently proposed OGSE shapes providing increased diffusion sensitization were combined with single-shot spiral readout trajectories using a high-performance gradient system. This implementation was used to study the frequency dependence of diffusivity in the in-vivo human brain for OGSE frequencies up to 125 Hz and b-values up to 1000 s/mm2, yielding an improved depiction of diffusion dispersion. The results indicate the significance of higher b-values in characterizing this relationship. |
| 0407
|
18:00
|
Going Below The Neck: Physiological limits on use of 300 mT/m gradients in the human body |
| Malwina Molendowska1, Fabrizio Fasano2,3, Umesh Rudrapatna1, Ralph Kimmlingen3, Derek K. Jones1,4, Slawomir Kusmia1, Chantal M. W. Tax1,5, and C. John Evans1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Siemens Healthcare Ltd, Camberly, United Kingdom, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Mary McKillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia, 5Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands |
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Increasing-available ultra-strong gradient systems introduce a new challenge in MRI: the unknown interaction of time-varying magnetic fields with the human body. We characterise the physiological effects of deploying 300 mT/m gradients Siemens Connectom system when imaging regions below the neck (i.e., heart and prostate). We show gradient amplitude thresholds for PNS (ramp times < 2ms) are first reached on the Y-gradient. Moreover, landmarking on the heart gives the highest probability of generating magnetophosphenes (all gradient-axes). This study establishes: (i) limitations in greatest system performance; and (ii) that the so-far head-only Connectom system can be safely used in ‘below-the-neck’ applications. |
| 0408 | 18:00
|
Fast PNS characterization of MRI gradient coils using a Huygens’ PNS model: Application to multiple patient positions and orientations |
| Mathias Davids1,2,3, Bastien Guerin1,2, and Lawrence L Wald1,2,4 | ||
1Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Computer Assisted Clinical Medicine, Mannheim, Germany, 4Harvard-MIT, Division of Health Sciences and Technology, Cambridge, MA, United States |
||
We apply a fast PNS model evaluated on a Huygens’ surface to characterize PNS performance as a function of patient position and pose in previously described PNS optimized gradients. The coils were initially PNS-optimized for a female body model in a standard brain imaging position. The Huygens’ approach allows us to assess other body positions and demonstrate the PNS benefits/penalties associated with other imaging applications and in both a female and male body model by dramatically speeding up the PNS characterization (to a couple of seconds per body position/orientation). The findings support a broad benefit from the PNS optimized windings. |
| 0409 | 18:00
|
Enhancement of PNS risk in the presence of a metallic knee prosthesis |
| Luca Zilberti1, Alessandro Arduino1, Riccardo Torchio2, Umberto Zanovello1, Fabio Baruffaldi3, Paolo Bettini2, Piergiorgio Alotto2, Mario Chiampi1, and Oriano Bottauscio1 | ||
1Istituto Nazionale di Ricerca Metrologica, Torino, Italy, 2Dipartimento Ingegneria Industriale, Università degli Studi di Padova, Padova, Italy, 3Istituto Ortopedico Rizzoli, Bologna, Italy |
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Peripheral nerve stimulation is a typical source of concern in MRI, which, in principle, could be significantly affected by the presence of a foreign object, like an orthopaedic prosthesis, in the body. This work investigates this possibility through a computational approach, making use of a human model where a knee implant has been placed, realistically, through a “virtual surgery”. Results indicate that the presence of the prosthesis can give rise to local enhancement of the electric field induced by the operation of the gradient coils, hence increasing the risk. |
| 0410 | 18:00
|
Exploiting Nerve Membrane Dynamics to Reduce Peripheral Nerve Stimulation using Asymmetric Readout Gradient Waveforms |
| Natalie G Ferris1,2, Mathias Davids3,4,5, Valerie Klein3,5, Bastien Guérin3,4, and Lawrence L Wald3,4 | ||
1Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, United States, 2Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA, United States, 3A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Computer Assisted Clinical Medicine, Heidelberg University, Heidelberg, Germany |
||
Peripheral Nerve Stimulation (PNS) limits the use of high-performance gradient systems. We exploit nerve membrane hyperpolarization and depolarization in readout gradient waveform design to achieve a higher gradient moment (area) in a given time without initiating PNS. In a typical symmetric trapezoidal readout waveform, the slew ramps have identical rise times but opposite dB/dt (E-field sign). Asymmetrizing the waveform enables achieving the same gradient moment while emphasizing membrane hyperpolarization over depolarization. The disparate effects of hyperpolarizing and depolarizing pulses are sufficient to impact the nerve’s PNS threshold, potentially increasing the spatial resolution. |
| 0411
|
18:00
|
Numerical Body Model Inference for Personalized RF Exposure Prediction in Neuroimaging at 7T |
| Wyger Brink1, Sahar Yousefi1,2, Prernna Bhatnagar1, Marius Staring2, Rob Remis3, and Andrew Webb1 | ||
1C.J. Gorter Center, dept. of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Division of Image Processing, dept. of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Circuits and Systems, dept. of Microelectronics, Delft University of Technology, Delft, Netherlands |
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Compliance with RF exposure limits in ultra-high field MRI is typically based on “one-size-fits-all” safety margins to account for the intersubject variability of local SAR. In this work we have developed a semantic segmentation method based on deep learning, which is able to generate a subject-specific body model for personalized RF exposure prediction at 7T. |
| 0412
|
18:00
|
SAR Management in pTx Sequence Design: The Impact of Electromagnetic-Field-Derived Virtual Observation Points |
| Sydney Nicole Williams1, Jürgen Herrler2, Patrick Liebig3, Paul McElhinney1, Shajan Gunamony1,4, Armin M. Nagel5, and David A. Porter1 | ||
1Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, 2Department of Neuroradiology, University Hospital Erlangen, Erlangen, Germany, 3Siemens Healthineers, Erlangen, Germany, 4MR CoilTech Limited, Glasgow, United Kingdom, 5Institute of Radiology, University Hospital Erlangen, Erlangen, Germany |
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We compare two methods for estimating local SAR with virtual observation points (VOPs) in a commercial and a self-built 8Tx/32Rx head coil, respectively. The commercial coil relies on a constant safety factor that reduces the hardware power limits in each transmit channel, where the self-built coil derives the VOPs from coil electromagnetic field (EMF) simulations. We show the use of both coils in vivo with MPRAGE using Universal and subject-specific pTx pulses. The EMF-based VOPs, used with the self-built coil, resulted in a lower local SAR estimate for a similar image quality, providing more flexibility in pulse sequence design. |
| 0413 | 18:00
|
Uncertainty Estimation of subject-specific Local SAR assessment by Bayesian Deep Learning |
| E.F. Meliadò1,2,3, A.J.E. Raaijmakers1,2,4, M. Maspero2,5, M.H.F. Savenije2,5, P.R. Luijten1, and C.A.T. van den Berg2,5 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 3Tesla Dynamic Coils BV, Zaltbommel, Netherlands, 4Biomedical Image Analysis, Dept. Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 5Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, Netherlands |
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Residual error/uncertainty is always present in the estimated local SAR, therefore it is essential to investigate and understand the magnitude of the main sources of error/uncertainty. Last year we presented a Bayesian deep learning approach to map the relation between subject-specific complex B1+-maps and the corresponding local SAR distribution, and to predict the spatial distribution of uncertainty at the same time. The preliminary results showed the feasibility of the proposed approach. In this study, we show its ability to reliably capture the main sources of uncertainty and detect deviations in the MR examination scenario not included in the training samples. |
| 0414
|
18:00
|
Implant-Friendly Excitation Strategies for Imaging DBS Electrodes at 7T |
| Alireza Sadeghi-Tarakameh1, Lance DelaBarre1, Nur Izzati Huda Zulkarnain1, Noam Harel1, and Yigitcan Eryaman1 | ||
1Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States |
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We mitigated the radiofrequency heating at the contacts of a DBS electrode by utilizing an implant-friendly (IF) excitation scenario at 7T. IF modes of a 16-channel transmit/receive coil are calculated by minimizing electrode-shaft current close to the contacts. An IF excitation is calculated by shimming the B1+ field in an ROI using individual IF modes of the array. The proposed approach is able to mitigate the shaft current and RF heating at the contacts. |
| 0415
|
18:00
|
Open-bore vertical MRI scanners generate significantly lower RF heating around DBS implants: A Simulation study with experimental validation |
| Bhumi Bhusal1, Ehsan Kazemivalipour2, Jasmine Vu1, Stella LIn1, Bach Thanh Nguyen1, John Kirsch3, Elizabeth Nowac4, Julie Pilitsis5, Joshua Rosenow1, Ergin Atalar2, and Laleh Golestanirad1 | ||
1Northwestern University, Chicago, IL, United States, 2Bilkent University, Ankara, Turkey, 3Massachusetts General Hospital, Charlestown, MA, United States, 4Illinois Bone and Joint Institute, Wilmette, IL, United States, 5Albany Medical College, Albany, NY, United States |
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Though there are many studies reporting RF heating of implants in horizontal MRI scanners, there is almost no literature on vertical scanners that have 90° rotated transmit coils and a fundamentally different distribution of RF fields. Here we evaluate RF heating of deep brain stimulation (DBS) implants during MRI in a 1.2T open-bore vertical scanner compared to a 1.5T horizontal system with both numerical simulations and experimental measurements. We found a significant reduction in RF heating using vertical vs horizontal RF coils which are attributable to the orthogonal orientation of RF electric fields. |
| 0416 | 18:00
|
The Feasibility of Radiofrequency Rhizotomy Lesion Visualization in the Trigeminal Ganglion using 7.0-Tesla MRI |
| Kellen Mulford1, David Darrow2, Sean Moen2, Samuel Ndoro2, Bharathi D. Jagadeesan3, Andrew W. Grande2, Donald R. Nixdorf4, and Pierre-Francois Van de Moortele1 | ||
1Center for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, 3Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 4Department of Diagnostic and Biological Science, University of Minnesota, Minneapolis, MN, United States |
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Pain recurrence following invasive treatments for trigeminal neuralgia is common, yet the treatment decisions in these situations lack objective guidance. The goal of this work was to establish the feasibility of using 7.0-Tesla MRI to visualize treatment related effects from percutaneous radiofrequency rhizotomy procedures. We scanned two patients with trigeminal neuralgia and one human cadaver specimen at 7.0-Tesla after radiofrequency rhizotomy procedures. Both acute and long-term treatment related effects were successfully visualized by our protocol. Future work will recruit a large cohort of trigeminal neuralgia patients to correlate imaging findings with clinical outcomes. |
| 0417
|
18:00
|
Harmonisation of Multiparametric Renal MRI for Multi-Centre Studies |
| Charlotte E Buchanan1, Hao Li2, Fabio Nery3, Alexander J Daniel1, Joao De Sousa4, Steven Sourbron4, Andrew Priest2,5, David Thomas6,7,8, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 4University of Sheffield, Sheffield, United Kingdom, 5Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom, 6Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, 7Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, 8Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom |
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Standardisation and multicentre evaluation of renal MRI measures is crucial for clinical translation. Here we present a multiparametric renal MRI protocol comprising of B0 and B1 mapping, diffusion weighted imaging (DWI), T1, T2 and T2* mapping, phase contrast (PC-MRI) and volumetric T1- and T2-weighted scans that has been harmonised across GE, Philips and Siemens 3T scanners. |
| 0418
|
18:00
|
Multiparametric Renal MRI in Chronic Kidney Disease: Changes in MRI and Clinical Measures Over Two Years |
| Charlotte E Buchanan1, Rebecca Noble2, Eleanor Cox1, Huda E Mahmoud2, Isma Kazmi2, Benjamin Prestwich1, Nicholas Selby2, Maarten Taal2, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Centre for Kidney Research and Innovation, University of Nottingham, Derby, United Kingdom |
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We use multi-parametric renal MRI to assess structural and haemodynamic changes in CKD patients and assess these changes after one and two years to investigate the ability of MRI measures to predict and monitor progression of CKD. At baseline, higher renal cortex T1 and a reduction in renal cortex perfusion are associated with subsequent progression of CKD over 2 years suggesting that these MRI parameters may be predictors of progression. Renal cortex T1 and total kidney volume changed more in ‘progressors’ than in ‘stable’ participants over time compared to baseline suggesting these to be useful MRI measures to monitor progression. |
| 0419 | 18:00
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Multiparametric Renal MRI in Children and Young Adults: Comparison between Healthy Participants and Patients with Chronic Kidney Disease |
| Deep B. Gandhi1, Jonathan R. Dillman2, Andrew T. Trout2, Jean A. Tkach2, Prasad Devarajan3, and Stephanie W Benoit4 | ||
1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Department of Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Department off Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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Multiparametric renal MRI might be used as a non-invasive biomarker of pediatric chronic kidney disease (CKD). 20 pediatric and young adult healthy controls and 12 patients with CKD underwent quantitative renal MRI consisting of MR elastography (MRE), T1 mapping, T2 mapping, and diffusion-weighted imaging (DWI). Whole kidney and cortical T1 values were greater in patients than healthy controls (p=0.018 and p<0.0001, respectively), whereas whole kidney, cortical, and medullary DWI ADC values were lower in patients than healthy controls (p=0.017, whole kidney). No differences in T2 or stiffness measurements between the two groups were observed. |
| 0420
|
18:00
|
Renal perfusion imaging with free-breathing pCASL MRI in persons with salt-sensitive blood pressure |
| Michael Pridmore1, Maria Garza1, Laura Jones2, Cassandra Reynolds2, Deepak Gupta2, Manus Donahue1, and Rachelle Crescenzi1 | ||
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, United States |
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Salt sensitive blood pressure is a major independent risk factor for cardiovascular disease, with estimated 50% prevalence in adults for which no imaging biomarker exists. We evaluated persons for salt sensitivity and applied a quantitative magnetic resonance imaging strategy in the kidneys for measuring renal blood flow using free-breathing pseudo-continuous arterial spin labeling. Group comparisons showed renal blood flow is reduced in subjects with salt-sensitivity, which may be linked to renal mechanisms of sodium handling. Additionally, image acquisition protocols were compared between 20x and 4x acquisitions, revealing 4x acquisitions were robust to motion and favored a clinically feasible scan time. |
| 0421 | 18:00
|
Imaging renal fibrosis in an oxalate induced chronic kidney disease model |
| Luke Xie1, Aaron K Wong2, Rohan S. Virgincar1, Patrick Caplazi3, Vineela D. Gandham1, Alex J. De Crespigny4, Robby M. Weimer1, and Hans D. Brightbill2 | ||
1Biomedical Imaging, Genentech, South San Francisco, CA, United States, 2Translational Immunology, Genentech, South San Francisco, CA, United States, 3Pathology, Genentech, South San Francisco, CA, United States, 4Clinical Imaging Group, Genentech, South San Francisco, CA, United States |
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Chronic kidney disease (CKD) is a significant global health problem with fibrosis being a common pathway of disease progression. While MRI is sensitive to fibrosis, the relationship to ultrastructural underpinnings is not well understood. In this study, we evaluate an oxalate induced CKD model and determine the correlation of MRI metrics with high-resolution terminal endpoints. We find that FA and AD in the medulla are most correlated with fibrosis pathologies, new hydroxyproline, and inflammatory and fibrotic gene expression. These results show that MRI can detect fibrosis and that the signal change is related to interstitial fibrosis and nephron ultrastructure. |
| 0422
|
18:00
|
MR imaging of tuberous sclerosis complex in kidneys |
| Shubhangi Agarwal1, Emilie Decavel-Bueff1, Yung-Hua Wang1, Hecong Qin1, Romelyn Delos Santos1, Michael Evans1, and Renuka Sriram1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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There is a critical need for the development of non-invasive imaging strategies for tuberous sclerosis (TSC) derived tumor lesions in order to monitor the progression and therapeutic efficacy of this multi-system genetic disease. In this study, we investigated the ability of multiparametric 1H MRI (morphological T2-weighted and functional diffusion-weighted) to meet this need in a preclinical murine model of TSC treated with everolimus. Results indicated that proton MR imaging was able to capture the changes in cellularity and tumor size, post treatment. |
| 0423 | 18:00
|
High-resolution kidney MRI in mice for longitudinal tracking of kidney volume and cyst burden |
| Florian Schmid1, Geogios Koukos1, Yi Liu1, Matt Sooknah1, Sandip Chatterjee1, Adam Freund1, and Johannes Riegler1 | ||
1Calico Life Sciences LLC, South San Francisco, CA, United States |
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We present an improved imaging and data analysis strategy for kidney MRI in mouse models of polycystic kidney disease. By registering multiple high resolution datasets at lower SNR, slow movement is compensated for and high resolution datasets with high quality and fine detail are achieved, allowing for detection and longitudinal tracking of kidney volume as well as cyst number and size. We established automatic cyst detection and are developing automatic kidney segmentation, for accurate and reliable assessment of polycystic kidney disease in mouse models. |
| 0424 | 18:00
|
Motion-insensitive DTI of Kidney using Prospective Acquisition Motion Correction Triggering |
| Arun Joseph1,2,3, Laila-Yasmin Mani4, Tom Hilbert5,6,7, Thomas Benkert8, Tobias Kober5,6,7, Bruno Vogt4, and Peter Vermathen3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Bern, Switzerland, 2Translational Imaging Center, Sitem-Insel, Bern, Switzerland, 3Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland, 4Department of Nephrology and Hypertension, University Hospital Bern, Inselspital, Bern, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 8Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Diffusion tensor imaging (DTI) of the kidney provides important functional information such as diffusion and micro-perfusion of the tissue and additionally estimates anisotropic diffusion of water in renal tubuli. However, these measurements are highly sensitive to respiration-induced motion artifacts which bias the obtained functional information. Here, we propose to use prospective acquisition motion correction (PACE) in combination with free-breathing acquisitions for motion-insensitive diffusion measurements of the kidney. A preliminary qualitative and quantitative validation is performed on healthy subjects comparing results from conventional respiratory-triggered to PACE-triggered DTI. |
| 0425 | 18:00
|
Mask R-CNN for Segmentation of Kidneys in Magnetic Resonance Imaging |
| Manu Goyal1, Junyu Guo1, Lauren Hinojosa1, Keith Hulsey1, and Ivan Pedrosa1 | ||
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States |
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Automated segmentation of kidneys in Magnetic Resonance Imaging (MRI) exams are important for enabling radiomics and machine learning analysis of renal disease. In this work, we propose to use a deep learning method called Mask R-CNN for the segmentation of kidneys in 2D coronal T2W FSE images of 94 MRI exams. With 5-fold cross-validation data, the Mask R-CNN is trained and validated on 66 and 9 MRI exams and then evaluated on the remaining 19 exams. Our proposed method achieved an average dice score of 0.839 and an average IoU of 0.763. |
| 0426
|
18:00
|
Volumetric Renal ASL MRI using 3D TSE Cartesian Acquisition with Variable Density Sampling (VD-CASPR) |
| Yiming Wang1, Limin Zhou1, Ivan Pedrosa1,2,3, 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, 3Urology, UT Southwestern Medical Center, Dallas, TX, United States |
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3D Cartesian turbo spin echo (TSE) is a promising acquisition method for renal ASL because of its improved SNR and compatibility with optimal background suppression (BGS). However, 3D Cartesian TSE with single average can limit its SNR and robustness. In this study, we applied a variable density sampling approach to renal ASL imaging, which acquires the center of the k-space with higher signal averages and improves SNR and robustness without significantly prolonging scan time. We combined this with partial k-space acquired M0 images to compensate for increased scan time, but without compromising perfusion quantification. |
| 0427 | 18:00
|
Viral-CEST: Exploiting AAV capsids as endogenous CEST agents for tracking of viral cell transduction |
| Mark Velasquez1, Laurel Nelson1, Bonnie Lam1, Kevin Godines1, Soo Hyun Shin1, and Moriel Vandsburger1 | ||
1Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States |
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Viral vectors, including adeno-associated viruses (AAV), are increasingly used for therapies that utilize somatic cell gene editing. Validation of successful delivery of gene editing machinery requires biopsy, which is a fundamental barrier to development of gene therapy. Research into chemical exchange saturation transfer (CEST)-MRI contrast agents has yielded numerous targeted and pH sensitive exogenous agents for diagnostic purposes. In this study we demonstrated that CEST-MRI can detect the abundant serine, threonine, and lysine residues on AAV capsid surfaces across serotypes that are responsible for targeted receptor binding; further that transduction of cells by AAV2 can be detected by CEST. |
| 0428
|
18:00
|
Grey matter atrophy measured in-vivo with 9.4T MRI in the cuprizone mouse model of demyelination |
| A. Max Hamilton1,2,3,4, Qandeel Shafqat1,2,3,4, Nils D. Forkert1,2,3, Ying Wu1,2,3,4, and Jeff F. Dunn1,2,3,4 | ||
1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 4Experimental Imaging Center Cumming School of Medicine, University of Calgary, Calgary, AB, Canada |
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Grey matter atrophy is a marker of progressive disability in multiple sclerosis (MS). To better study atrophy in MS, mouse models that display grey matter loss are needed. A possible candidate is the cuprizone mouse model, which exhibits demyelination, gliosis, and axonal injury. We used high-resolution MRI (37.5x37.5x250μm3) and atlas-based volumetrics to measure volumes of 62 structures in the brains of cuprizone mice following acute (6-weeks) and chronic (12-weeks) demyelination. We found no atrophy associated with acute demyelination but identified atrophy in 7 regions following chronic demyelination including the corpus callosum, internal capsule, striatum, and thalamus. |
| 0429
|
18:00
|
Optogenetic fMRI Reveals Distinct Response Characteristics of Sensory and Limbic Thalamic Spindle-like Activities |
| Xunda Wang1,2, Alex T. L. Leong1,2, and Ed X. Wu1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China |
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Spindle-like activities constitute one of the most critical brain-wide oscillatory activities for memory consolidation. Spindle-like activities with different temporal characteristics have been associated with heterogeneous distribution patterns. Studies postulated that such heterogeneous distribution and differences in temporal characteristics of spindle-like activities were determined by differences in corresponding spindle-generation thalamo-cortical circuits. However, no direct evidence has been shown. In this study, we demonstrate distinct brain-wide targets but similar temporal-characteristics dependent cross-modal recruitment property of limbic and sensory thalamically-evoked spindle-like activities. Our work provides direct evidence that spindle-like activities initiated from distinct thalamic nuclei can recruit distinct brain-wide targets |
| 0430 | 18:00
|
Polarity of BOLD fMRI as a function of balance between excitation and inhibition |
| Kostiantyn Cherkas1, G. H. Im1, and S.G. Kim2 | ||
1Cener for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea, Suwon, Korea, Republic of, 2Cener for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea, Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Suwon, Korea, Republic of |
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To investigate neural source of positive and negative BOLD signals, we modulated a balance of excitatory and inhibitory activity (EI) within the same somatosensory area to determine whether the polarity of evoked BOLD response is reversed. We measured BOLD fMRI at 15.2T and calcium photometry of ketamine/xylazine-anesthetized mice in response to frequency dependent whisker pad stimulation. At 4 Hz, positive BOLD and increased calcium activity were observed in the barrel cortex, whereas at 20 Hz stimulation, negative BOLD and decreased calcium activity were detected. This indicates that the BOLD polarity closely links to the EI balance. |
| 0431 | 18:00
|
Validation of MRI Measurements of Myelination Changes in an Absence Epilepsy Mouse Model |
| Gustavo Chau Loo Kung1, Juliet Knowles2, Lijun Ni2, John Huguenard2, Michelle Monje2, and Jennifer McNab3 | ||
1Bioengineering Department, Stanford University, Stanford, CA, United States, 2Neurology Department, Stanford University, Stanford, CA, United States, 3Radiology Department, Stanford University, Stanford, CA, United States |
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Maladaptive myelination may contribute to both the predisposition to seizures and cognitive impairment in diseases such as absence epilepsy. To support this hypothesis, we performed MRI microstructural measurements in ex vivo mouse brains from the Scn8amed+/- model of absence epilepsy and validated them against matching Electron Microscopy (EM) quantifications. Our MRI g-ratio results strongly agree with these measurements and both show a statistically significant decrease in g-ratio of the genu in seizure mice. Future work will look to continue the current analysis in longitudinal studies to probe the previously unknown effects of dynamic myelination on the progression of absence epilepsy. |
| 0432 | 18:00
|
fMRI connectivity mapping in the awake mouse brain reveals state-dependent network reconfiguration |
| Neha Atulkumar Singh1, Daniel Gutierrez-Barragan1, Elizabeth de Guzman1, Mauro Uboldi2, Ludovico Coletta1, and Alessandro Gozzi1 | ||
1Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Rovereto, Italy, 2Ugo Basile S.r.L., Gemonio, Italy |
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Resting state fMRI mapping in the mouse is typically carried out under light anesthesia, preventing a full characterization of how the ensuing functional architecture compares to awake conditions. Leveraging a novel protocol for fMRI connectivity mapping in awake mice, we provide a fine-grained description of the network structure and dynamic organization of brain-wide functional connectivity in this species. Notably, by comparing network features across brain states, we identify a robust set of state-dependent network changes, including a distinctive dynamic signature of consciousness. These results open the way to the implementation of awake rsfMRI in the mouse. |
| 0433
|
18:00
|
Sensitive imaging schemes for dynamic glucose enhanced (DGE) MRI to detect glucose uptake and clearance in mouse brain at 3T |
| Jianpan Huang1, Joseph H. C. Lai1, Xiongqi Han1, Zilin Chen1, Yang Liu1, Peng Xiao1, Lin Chen2,3, Jiadi Xu2,3, and Kannie W. Y. Chan1,3,4 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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We developed a high-sensitivity dynamic glucose enhanced (DGE) MRI acquisition and post-processing scheme for sensitive monitoring glucose uptake and clearance in both brain parenchyma and cerebrospinal fluid (CSF) at 3T. By investigating Carr-Purcell-Meiboom-Gill sequence (CPMG), on-resonance variable delay multi-pulse (onVDMP) and on-resonance spin-locking (onSL), a high-sensitivity DGE MRI scheme composed of CPMG method for monitoring parenchyma and onVDMP method for monitoring CSF was proposed. We incorporated the multilinear singular value decomposition (MLSVD) based denoising method in post-processing, which enables the detection of DGE signals from the brain parenchyma and CSF at low concentration of D-glucose (12.5% w/w) injection. |
| 0434 | 18:00
|
Quantitative neuroimaging biomarkers using 3D UTE MRI and ferumoxytol |
| Codi Gharagouzloo1, Praveen Kulkarni2, Joshua Leaston1, Kevin Johnson3, Jonathan Polimeni4, Ju Qiao5, Misung Han6, Peder Larson6, and Craig Ferris2 | ||
1Imaginostics, Inc., Cambridge, MA, United States, 2Center for Translational Neuroimaging, Northeastern University, Boston, MA, United States, 3Medical Physics, University of Wisconsin–School of Medicine and Public Health, Madison, WI, United States, 4Martinos Center, Massachusetts General Hospital and Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 5Massachusetts General Hospital, Boston, MA, United States, 6University of California, San Francisco, San Francisco, CA, United States |
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New quantitative vascular neuroimaging biomarkers are made possible by the combination of optimized 3D UTE MRI and ferumoxytol for contrast enhancement. Here, we have shown that this method, QUTE-CE MRI, can be used to image both the vascular and perivascular space. The small vessel density biomarker demonstrated sensitivity to hyper-to-normal microvascularization from 8-24 months of age in an ApoE4 genetic knock-in rat model. Disruption in the blood brain barrier was detected in individual animals and groups after even a single mild hit to the head. Finally, feasibility of QUTE-CE MRI is demonstrated on clinical scanners for human imaging. |
| 0435
|
18:00
|
CEST MRI of temporal changes of hematoma in Intracerebral Hemorrhage (ICH) mouse at 3T |
| Joseph H. C. Lai1, Jiaxin Liu2, Jianpan Huang1, Yang Liu1, Zilin Chen1, Peng Xiao1, Gilberto K. K. Leung2, and Kannie W. Y. Chan1,3,4 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Division of Neurosurgery, Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong, 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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CEST MRI in hematoma could be challenging depending on the involvement of iron. This study examined the feasibility of CEST in monitoring ICH and its progression over two weeks. The AREX data supported that the iron-overloading pathology might not significantly attenuate CEST contrast as demonstrated both in vitro and in vivo at 3T. We observed the most significant decrease in rNOE (37%) and APT (47%) contrast in lesions were on day7 and day3, respectively, when compared to contralateral side. This could indicate neuropathologies related to lipid and amide, which could be valuable for ICH diagnosis and treatment planning at 3T. |
| 0436
|
18:00
|
Abnormal Oxidative Metabolism in the Gray Matter of Cuprizone Mouse Model: An in-vivo NIRS-MRI Study |
| Mada Hashem1,2,3,4,5, Ying Wu1,3,4,5, and Jeff F. Dunn1,2,3,4,5 | ||
1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Experimental Imaging Centre, University of Calgary, Calgary, AB, Canada, 5Cumming School of Medicine, University of Calgary, Calgary, AB, Canada |
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Non-invasive quantitative imaging of cerebral oxygen consumption is crucial to understand the involvement of oxidative metabolism in neurological diseases. 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 cuprizone mouse model. In this study, multiple physiological parameters controlling oxidative metabolism were investigated in the cuprizone mice exhibiting demyelination. A mitochondrial impairment and a reduced oxygen consumption rate were found in the gray matter of cuprizone mice, emphasizing the association between abnormal oxidative metabolism and the observed demyelination. |
18:00
|
How to Analyse Your Physiological MRI Data: Dynamic Susceptibility Contrast (DSC) MRI | |
| Amit Mehndiratta | ||
| Indian Institute of Technology Delhi | ||
| 20:00 | NIBIB New Horizons: Precision MRI of the Breast: Reality or Utopia? |
| 20:20 | Opportunities & Challenges of Specialized Systems |
| Stuart Crozier1 | |
1University of Queensland, Brisbane, Australia |
| 20:40 | Whole-Body Systems for Interventional, Lung & Cardiac MRI |
| Adrienne E. Campbell-Washburn1 | |
1National Institutes of Health, Bethesda, MD, United States |
| 21:00 | Compact Systems for Brain, Extremity & Pediatric/Neonatal MRI |
| John Huston1 | |
1Mayo Clinic, Rochester, MN, United States |
9:00
|
How to Analyse Your Physiological MRI Data: Cerebrovascular Reactivity | |
| Joana Pinto | ||
| University of Oxford | ||
| 0437
|
12:00
|
Rapid dynamic speech imaging at 3Tesla using combination of a custom airway coil, variable density spirals and manifold regularization |
| Rushdi Zahid Rusho1, Wahidul Alam1, Abdul Haseeb Ahmed2, Stanley J. Kruger3, Mathews Jacob2, and Sajan Goud Lingala1,3 | ||
1Roy J. Carver Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, United States, 2Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, United States, 3Department of Radiology, The University of Iowa, Iowa City, IA, United States |
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We propose a novel rapid dynamic speech MRI scheme that leverages multi-coil acquisitions from a dedicated 16 channel airway coil, variable density spirals, and manifold regularization. The variable density spirals enables self-navigation to extract the Laplacian manifold matrix from low spatial but high temporal resolution data. Our scheme allows for efficient exploitation of similarities between image frames that are distant in time without the need of explicit binning. We demonstrate robust reconstructions on free running speech data containing complex spatio-temporal dynamics at a temporal resolution of 15 ms/frame. |
| 0438
|
12:00
|
An open dataset for speech production real-time MRI: raw data, synchronized audio, and images |
| Yongwan Lim1, Asterios Toutios1, Yannick Bliesener1, Ye Tian1, Krishna S. Nayak1, and Shrikanth Narayanan1 | ||
1University of Southern California, Los Angeles, CA, United States |
||
We introduce the first-ever public domain real-time MRI raw dataset for the study of human speech production. The dataset consists of raw, multi-receiver-coil MRI data with non-Cartesian, spiral sampling trajectory and reconstructed images derived using a reference reconstruction method along with synchronized audio for 72 subjects performing 32 linguistically motivated speech tasks. This dataset can be used to develop traditional and machine learning / artificial intelligence approaches for dynamic image reconstruction in the context of fast aperiodic motion, which is currently an unsolved problem, as well as for artifact correction, feature extraction, and direct extraction of linguistically relevant biomarkers. |
| 0439
|
12:00
|
Denoising of Hyperpolarized 13C MR Images of the Human Brain Using Patch-based Higher-order Singular Value Decomposition |
| Yaewon Kim1, Hsin-Yu Chen1, Adam W. Autry1, Javier Villanueva-Meyer1, Susan M. Chang2, Yan Li1, Peder E. Z. Larson1, Jeffrey R. Brender3, Murali C. Krishna3, Duan Xu1, Daniel B. Vigneron1,2, and Jeremy W. Gordon1 | ||
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, 3Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States |
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Quantifying metabolism in hyperpolarized (HP) 13C MRI can be challenging because of low signal-to-noise ratio for downstream metabolites. To overcome this limitation, we investigated a new patch-based singular value decomposition method to denoise dynamic imaging data and tested it in numerical simulations and on 6 HP [1-13C]pyruvate EPI human brain datasets. The sensitivity enhancement provided by denoising significantly improved quantification of metabolite dynamics. With denoising, [1-13C]pyruvate and its metabolites [1-13C]lactate and [13C]bicarbonate had ≥5-fold sensitivity gain, improving the number of quantifiable voxels for mapping pyruvate-to-bicarbonate conversion rates (kPB) by 2-fold, and providing whole-brain coverage for mapping pyruvate-to-lactate conversion rates (kPL). |
| 0440
|
12:00
|
k-Space Weighted Image Average (KWIA) for ASL-based Dynamic MRA and Perfusion Imaging |
| Chenyang Zhao1, Xingfeng Shao1, Lirong Yan1, and Danny JJ Wang1 | ||
1Laboratory of Functional MRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States |
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The intrinsically low SNR of ASL techniques is a main limitation that hinders their clinical translations. This work presented a novel denoising algorithm for dynamic MRI termed KWIA and evaluated its use in multi-delay ASL and ASL-based 4D dMRA. KWIA improves SNR without compromising spatial and temporal resolution by progressively increasing the neighboring time frames for view-shared averaging for more distal k-space regions. Experimental results showed that KWIA can provide significant SNR improvement that enables better visualization and quantification for both multi-delay ASL and ASL-based 4D dMRA as well as other dynamic MRI techniques. |
| 0441 | 12:00
|
MR image super-resolution using attention mechanism: transfer textures from external database |
| Mengye Lyu1, Guoxiong Deng1, Yali Zheng1, Yilong Liu2,3, and Ed X. Wu2,3 | ||
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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Super-resolution (SR) is useful to reduce scan time and/or enhance MR images for better visual perception. High-resolution reference images may improve super-resolution quality, but most previous studies focused on using references from the same subject. Here, we use an image search module to find similar images from other subjects and use transformer based neural networks to learn and transfer the relevant textures to the output. We demonstrate that this approach can outperform single-image super-resolution, and is feasible to achieve high-quality super-resolution at large factors. As the reference images are not limited within a subject, it potentially has wide applications. |
| 0442 | 12:00
|
A regularized joint water/fat separation and B0 map estimation for 2D-navigated interleaved EPI based diffusion MRI |
| Yiming Dong1, Kirsten Koolstra2, Malte Riedel3, Matthias J.P. van Osch1, and Peter Börnert1,4 | ||
1C.J. Gorter Center for High Field MRI, Department of Radiology, LUMC, Leiden, Netherlands, 2Division of Image Processing, Department of Radiology, LUMC, Leiden, Netherlands, 3University of Lübeck, Lübeck, Germany, 4Philips Research Hamburg, Hamburg, Germany |
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Multi-shot EPI enables high-resolution diffusion-weighted imaging with reduced geometric distortions. However, fat is often a confounding factor in EPI, especially in regions with severe B0 inhomogeneities. For the proposed method, data is acquired using TE-shifted interleaved EPI and 2D-navigators to sense the motion-induced shot phases. The reconstruction includes a multi-peak fat model and corrects for the fat frequency-specific chemical shift displacements in phase-encoding direction by a time-efficient image-space formulation. In-vivo results show that the proposed algorithm provides improved water/fat separation compared with the conventional technique and fat-suppressed acquisition. |
| 0443
|
12:00
|
On quantification errors of R2* and PDFF mapping in trabecularized bone marrow induced by the static dephasing regime |
| Sophia Kronthaler1, Christof Boehm1, Kilian Weiss2, Marcus R. Makowski1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Hamburg, Germany |
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Chemical shift encoding-based (CSE) water-fat separation techniques are becoming more common in the study of bone marrow changes as they allow the simultaneous assessment of tissue fat-fraction and R2*. A typical acquisition strategy in CSE-MRI aims to minimize the first TE to increase SNR. However, the R2* decay in the presence of trabecular bone microstructure is known to be nontrivial due to the occurrence of the static dephasing regime. The present work investigates, with the help of UTE acquisitions, the quantification errors of R2* and PDFF maps in trabecularized bone marrow due to the presence of the static dephasing regime. |
| 0444
|
12:00
|
Algebraic reconstruction of missing data in zero echo time MRI with pulse profile encoding (PPE-ZTE) |
| Romain Froidevaux1, Markus Weiger1, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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Short-T2 imaging needs immediate and rapid encoding, as provided by zero echo time (ZTE) MRI. However, in ZTE, excitation and early encoding occur simultaneously and preclude data acquisition in the k-space center, leading to local undersampling or gap. One way of retrieving the missing data involves algebraic reconstruction, but it is limited to small gaps and thus requires short RF pulses that restrain achievable SNR and contrast options. Here, we demonstrate a method for algebraic reconstruction of large gaps, based on the knowledge of excitation pulses. It enables the use of longer pulses and overcomes ZTE flip angle limitations. |
| 0445
|
12:00
|
Simultaneous optimisation of MP2RAGE UNI and FLAWS brain images at 7T using Extended Phase Graph (EPG) Simulations |
| Ayse Sila Dokumaci1, Fraser R. Aitken1, Jan Sedlacik1, Philippa Bridgen1, Raphael Tomi-Tricot1,2, Tom Wilkinson1, Ronald Mooiweer1, Sharon Giles1, Joseph V. Hajnal1, Shaihan Malik1, Jonathan O'Muircheartaigh1, and David W. Carmichael1 | ||
1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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The MP2RAGE sequence is typically used at 7T to produce UNI image with maximised contrast between WM-GM and GM-CSF while mitigating B1- field variability. It can also be optimised to obtain Fluid and White Matter Suppression (FLAWS) images but this is typically done separately. Here, the Extended Phase Graph formalism was used to optimise both FLAWS and UNI images at 7T within one acquisition while minimising B1+ sensitivity. Different combinations were tested in healthy subjects with 0.65mm isotropic resolution demonstrating that UNI and FLAWS images could be obtained together while largely maintaining image quality. |
| 0446 | 12:00
|
Frobenius optimization of tensor-valued diffusion sampling schemes |
| Alexis Reymbaut1 | ||
1Random Walk Imaging AB, Lund, Sweden |
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Tensor-valued diffusion encoding has allowed for increased specificity in diffusion MRI, probing the diffusion patterns of water molecules in vivo along new dimensions. From an intuitive standpoint, a versatile sampling scheme should be sensitive to a diverse set of diffusion profiles in any given voxel. However, while optimization strategies based on electrostatic repulsion achieve this for conventional diffusion sampling scheme, no equivalent optimization exists for tensor-valued diffusion data. In this work, we derive an optimization strategy based on maximizing the Frobenius distance between b-tensors. Its evaluation in silico demonstrates that it increases the accuracy of diffusion tensor distribution imaging. |
| 0447
|
12:00
|
Improving deep unrolled neural networks for radial cine cardiac image reconstruction using memory-efficient training, Conv-LSTM based network |
| Kanghyun Ryu1, Christopher M. Sandino1, Zhitao Li1, Xucheng Zhu2, Andrew Coristine3, Martin Janich4, and Shreyas S. Vasanawala1 | ||
1Stanford University, Stanford, CA, United States, 2GE Healthcare, Menlo Park, CA, United States, 3GE Healthcare, Montreal, QC, Canada, 4GE Healthcare, Munich, Germany |
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Recently, unrolled neural networks (UNNs) have been shown to improve reconstruction over conventional Parallel Imaging Compressed Sensing (PI-CS) methods for dynamic MR image reconstruction. In this work we propose two methods to improve UNN for Non-Cartesian cardiac cine image reconstruction, namely memory efficient training and Convolutional LSTM based network architecture.The proposed method can significantly improve conventional UNN with higher image quality. |
| 0448
|
12:00
|
Development, Validation, and Application of an Automated Deep Learning Workflow for Strain Analysis based on cine-MRI |
| Manuel A. Morales1,2, Maaike van den Boomen2,3,4, Christopher Nguyen2,4, Jayashree Kalpathy-Cramer2, Bruce R. Rosen1,2, Collin Stultz 1,5,6, David Izquierdo-Garcia1,2, and Ciprian Catana2 | ||
1Health Sciences & Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Radiology, Athinoula A. Martinos Center for Biomedical Imaging, MGH, HMS, Charlestown, MA, United States, 3Radiology, University Medical Center Groningen, Groningen, Netherlands, 4Cardiovascular Research Center, MGH, HMS, Charlestown, MA, United States, 5Cardiology, Massachusetts General Hospital, Boston, MA, United States, 6Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States |
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Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data is a promising technique for earlier detection of subclinical dysfunction prior to reduction in left-ventricular ejection fraction (LVEF), but sources of discrepancies including user-related variations have limited its wide clinical adoption. Using healthy and cardiovascular disease (CVD) subjects (n=150) we developed a fast, user-independent deep-learning-based workflow for strain analysis from cine-MRI data. Relative to a reference tagging-MRI method, there was no significant difference in end-systolic global strain based on subject-paired cine-MRI data from 15 heathy subjects. Applications in CVD subjects without reduced LVEF showed both global and asymmetric strain abnormalities. |
| 0449 | 12:00
|
MyoMapNet: A Deep Neural Network for Accelerating the Modified Look-Locker Inversion Recovery Myocardial T1 Mapping to 5 Heart Beats |
| Hossam El-Rewaidy1,2, Rui Guo1, and Reza Nezafat1 | ||
1Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 2Graduate School of Bioengineering, Department of Computer Science, Technical University of Munich, Munich, Germany |
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In this work, we developed and evaluated a rapid (4-5 heartbeats) myocardial T1 mapping approach by estimating voxel-wise T1 values from one look-locker (LL) experiment of MOLLI sequence using a fully-connected neural network (MyoMapNet). MyoMapNet consists of 5 hidden layers that map the input 4-5 T1-weighted samplings and their inversion times into T1 values. MyoMapNet was trained and evaluated on a large dataset of native MOLLI-5(3)3 T1 in 717 subjects and post-contrast MOLLI-4(1)3(1)2 in 535 subjects. MyoMapNet showed similar T1 estimations to MOLLI-5(3)3 and MOLLI-4(1)3(1)2 T1 (mean difference=1±17ms, and -3±18ms, respectively, p-value >0.1 for both). |
| 0450
|
12:00
|
Deep-learning based super-resolution reconstruction for 3D isotropic coronary MR angiography in a one-minute scan |
| Thomas Küstner1,2, Alina Psenicny1, Camila Munoz1, Niccolo Fuin3, Aurelien Bustin4, Haikun Qi1, Radhouene Neji1,5, Karl P Kunze1,5, Reza Hajhosseiny1, Claudia Prieto1, and René M Botnar1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department of Radiology, Medical Image and Data Analysis (MIDAS), University Hospital of Tübingen, Tübingen, Germany, 3Ixico, London, United Kingdom, 4IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracuique de Bordeaux, Bordeaux, France, 5MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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3D whole‐heart coronary MR angiography (CMRA) has shown significant potential for the diagnosis of coronary artery disease. Undersampled motion corrected reconstruction approaches have enabled free-breathing isotropic 3D CMRA in ~5-10min scan time. However, spatial resolution is still limited compared to coronary CT angiography and scan time remains relatively long. In this work, we propose a deep-learning based super-resolution (SR) framework, combined with non-rigid respiratory motion compensation (SR-CMRA), to shorten the acquisition time to <1min. A 16-fold increase in spatial resolution is achieved by reconstructing a high-resolution CMRA (1.2mm3) from a low-resolution acquisition (1.2x4.8x4.8mm3, 50s scan). |
| 0451
|
12:00
|
Fully automated aortic 4D flow MRI large-cohort analysis using deep learning |
| Michael B Scott1, Haben Berhane1, Justin Baraboo1, Cynthia K Rigsby2, Joshua D Robinson2, Patrick M McCarthy1, S Chris Malaisrie1, Ryan J Avery1, Bradley D Allen1, Alexander Barker3, and Michael Markl1 | ||
1Northwestern University, Chicago, IL, United States, 2Lurie Children's Hospital of Chicago, Chicago, IL, United States, 3University of Colorado, Anschutz Medical Campus, Aurora, CO, United States |
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A fully automated pipeline using four convolutional neural networks was designed to perform analysis of aortic 4D flow MRI, including preprocessing (eddy current correction, noise masking, and antialiasing), 3D segmentation of the aorta, quantification of mean flow-time curves and peak velocities. The analysis pipeline was run on a total of 2084 4D flow MRI studies and compared against manual analysis in a subset of 69 studies. Median segmentation Dice score for the ascending aorta was 0.93 [0.90 – 0.95]. Pipeline-based quantification of ascending aortic peak velocities demonstrated bias of -0.05 m/s versus manual analysis [LOA: -0.26 to 0.15 m/s]. |
| 0452 | 12:00
|
Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study |
| Seung Su Yoon1,2, Michaela Schmidt2, Manuela Rick2, Teodora Chitiboi3, Puneet Sharma3, Tilman Emrich4,5, Christoph Tilmanns6, Ralph Waßmuth6, Jens Wetzl2, and Andreas Maier1 | ||
1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Medical Solutions USA, Inc., Princeton, NJ, United States, 4Department of Radiology, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany, 5Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States, 6Diagnostikum Berlin, Berlin, Germany |
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In cardiac MRI using the Late Gadolinium Enhancement technique, inversion recovery sequences are acquired for the correct myocardial nulling for optimal image contrast. In clinical practice, the selection of the proper inversion time to null healthy myocardium is manually performed by visual inspection. To standardize the process, we propose an automated deep-learning-based system which selects the “null inversion time” where the myocardium signal is darkest, and “contrast inversion time” where the contrast between the myocardium and blood pool is highest. We validated the system on a prospective study on different scanners. The system achieved high accuracy in observers’ annotation range. |
| 0453 | 12:00
|
Voxel-wise Tracking of Grid Tagged Cardiac Images using a Neural Network Trained with Synthetic Data |
| Michael Loecher1,2, Luigi E Perotti3, and Daniel B Ennis1,2,4,5 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Affairs Health Care System, Palo Alto, CA, United States, 3Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States, 4Maternal & Child Health Research Institute, Stanford University, Stanford, CA, United States, 5Cardiovascular Institute, Stanford University, Stanford, CA, United States |
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This work introduces a neural network for tracking myocardial motion in cine grid tagged MR images on a voxel-wise basis. This is achieved with the use a synthetic training dataset that includes comprehensive motion patterns. Synthetic training allows for a known ground truth motion to be included in training. The network was tested against a previous network that tracked only tag line intersections. Displacements and strain maps were generated and compared. The voxel tracking network shows qualitatively better spatial localization of strain, and better radial strain values compared to tracking only tag lines. |
| 0454 | 12:00
|
Prediction of aneurysm stability using a machine learning model based on 4D-Flow MRI and Black Blood MRI |
| Miaoqi Zhang1, Mingzhu Fu1, Hanyu Wei1, Shuo Chen1, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China |
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The rupture of intracranial aneurysm (IA) is the most common cause of subarachnoid hemorrhage (SAH), resulting in patient death and disability. Recently, the morphology of the aneurysm, wall condition as well as hemodynamic factors were found to have kind of relationship with the stability of the aneurysm. In this project, we extracted clinical characteristics, morphology parameters, wall condition and hemodynamic parameters together to predict aneurysm stability using a machine learning model based on 4D-Flow MRI and black blood MRI. Among the two models, the Support Vector Machines model performed well, and the multi-parameter prediction result was greater than 95%. |
| 0455 | 12:00
|
Intracranial Vessel Wall Segmentation with 2.5D UNet++ Deep Learning Network |
| Hanyue Zhou1, Jiayu Xiao2, Debiao Li1,2, Dan Ruan1,3, and Zhaoyang Fan2,4,5 | ||
1Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 2Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States, 4Radiology, University of Southern California, Los Angeles, CA, United States, 5Radiation Oncology, University of Southern California, Los Angeles, CA, United States |
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Intracranial vessel wall segmentation is an essential step for the intracranial atherosclerosis quantification. We have developed an automated intracranial vessel wall segmentation method based on deep learning that utilized a 2.5D UNet++ network structure with a loss function consists of both soft Dice coefficient loss and the approximated Hausdorff distance loss. We show that we have achieved significant improvements over our previous segmentation model based on a 2D UNet structure across various quantitative measures, as well as a better visual resemblance to the ground truth segmentation. |
| 0456 | 12:00
|
Machine Learning aided k-t SENSE for fast reconstruction of highly accelerated PCMR data |
| Grzegorz Tomasz Kowalik1, Javier Montalt-Tordera1, Jennifer Steeden1, and Vivek Muthurangu1 | ||
1Institute of Cardiovascular Science, University College London, London, United Kingdom |
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The Machine Learning aided k-t SENSE for the reconstruction of highly undersampled GASperturbed PCMR data is validated. We introduce a modified version of the u-net Convolutional Neural Network (u-net M) that utilises the spatial signal distribution information to improve removal of the MR image magnitude aliases. The high resolution magnitude predictions enable creation of regularisation priors used in the k-t SENSE for the final reconstruction of the PCMR data. 20 patients were scanned in the in-vivo validataion. The technique enabled ~3.6x faster processing than the CS reconstruction with no statistical difference in the measured peak mean velocity and stroke volumes. |
| 0457
|
12:00
|
Improved Accelerated fMRI Reconstruction using Self-supervised Deep Learning |
| Omer Burak Demirel1,2, Burhaneddin Yaman1,2, Steen Moeller2, Logan Dowdle2, Luca Vizioli2, Kendrick Kay2, Essa Yacoub2, John Strupp2, Cheryl Olman2, Kâmil Uğurbil2, 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 |
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There are significant benefits to HCP-style fMRI acquisitions, which acquires high spatial and temporal resolution across the whole brain in an effort to better understand the human brain. This can be achieved through simultaneous multi-slice (SMS)/Multiband (MB) imaging, which provides rapid whole-brain coverage using high acceleration rates albeit with increased noise amplification. Deep learning reconstruction techniques have recently gained substantial interest in improving accelerated MRI. Here we utilize a physics-guided self-supervised deep learning reconstruction on a 5-fold SMS and 2-fold in-plane accelerated whole brain 7T fMRI acquisition to reduce the reconstruction noise without altering the subsequent fMRI result. |
| 0458
|
12:00
|
Extreme Looping Star: Quiet fMRI at high spatiotemporal resolution |
| Andrew Palmera Leynes1,2, Nikou Louise Damestani3, David John Lythgoe3, Ana Beatriz Solana4, Brice Fernandez5, Brian Burns1,6, Steven Charles Rees Williams3, Fernando Zelaya3, Peder E.Z. Larson1,2, and Florian Wiesinger3,4 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2UC Berkeley - UC San Francisco Joint Graduate Program in Bioengineering, Berkeley and San Francisco, CA, United States, 3King's College London, London, United Kingdom, 4GE Healthcare, Munich, Germany, 5GE Healthcare, Paris, France, 6GE Healthcare, Menlo Park, CA, United States |
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The Looping Star pulse sequence was recently introduced as an acoustically silent alternative to EPI-based fMRI pulse sequences. In this abstract, we present improvements to the spatiotemporal resolution of Looping Star using the “extreme MRI” approach, without sacrificing functional sensitivity. We demonstrate the application of silent fMRI with increased temporal resolution and increased spatial resolution using extreme Looping Star, in comparison with standard Looping Star, on a motor task and a visual task across two sites. |
| 0459
|
12:00
|
Beyond BOLD: in search of genuine diffusion fMRI contrast in human brain |
| Wiktor Olszowy1,2 and Ileana O Jelescu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland |
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Diffusion fMRI (dfMRI) is an alternative to BOLD fMRI. Here, we present the first dfMRI study in humans attempting to minimize all sources of BOLD contamination and comparing functional responses at two field strengths, both for task and resting-state fMRI. Our study benefits from unprecedented high spatiotemporal resolution. We observed task-induced water diffusivity decreases in the perfusion-free b-value regime. Furthermore, we found that positive correlations were largely preserved while anti-correlations were suppressed in dfMRI functional connectivity compared to BOLD. We conclude that dfMRI contrast is genuine and distinct from BOLD mechanisms. |
| 0460 | 12:00
|
Respiratory fluctuations in 3D fMRI from inter-shot phase variations can be reduced by low-rank reconstruction of segmented CAIPI sampling |
| Xi Chen1, Wenchuan Wu1, and Mark Chiew1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Multi-shot 3D EPI is one of the most popular 3D imaging techniques for fMRI, which can provide higher SNR than 2D single-shot EPI. However, the vulnerability to inter-shot signal variations arising from physiological fluctuations, like respiration-related phase variations, has limited the tSNR benefits of 3D multi-shot acquisitions. To improve the temporal stability of 3D multi-shot EPI for fMRI at 7T, we investigated both the optimization of sampling trajectories which show varying vulnerabilities to the inter-shot inconsistencies, and the use of a low-rank annihilating filter constrained reconstruction which can reduce unwanted temporal variance induced by the inter-shot phase inconsistencies. |
| 0461 | 12:00
|
Combined active and passive shimming of the temporal lobes using graphite-silicone earplugs and a multi-coil B0 shim array |
| Andrew Lithen1,2, Albert Tamashausky3, Berkin Bilgic1,4, Kawin Setsompop5, Bryan Kennedy1, Lilianne Mujica-Parodi1,2, Lawrence Wald1,4, Shahin Nasr1,4, and Jason Stockmann1,4 | ||
1A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Dept. of Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3Asbury Carbons, Asbury, NJ, United States, 4Harvard Medical School, Boston, MA, United States, 5Dept. of Electrical Engineering, Stanford University, Stanford, CA, United States |
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Neuroimaging of the human brain temporal lobes has long been impeded by severe B0 inhomogeneity arising from air-tissue susceptibility interfaces around the ear canals and temporal bone. Here, we propose localized passive shimming using graphite-embedded silicone ear plugs, which replace standard ear plugs used during MRI. We further synergistically combine the passive shims with active multi-coil B0 shimming to boost shim performance. Our results show improvements in B0 homogeneity as assessed using field maps and signal loss and distortion in gradient-echo EPI slices. |
| 0462 | 12:00
|
A Paradigm Change in Functional Brain Mapping: Suppressing the Thermal Noise in fMRI |
| Luca Vizioli1,2, Steen Moeller1, logan T Dowdle1, Mehmet Akcakaya1, Federico De Martino3, Essa Yacoub1, and Kamil Ugurbil1 | ||
1CMRR, University of Minnesota, minneapolis, MN, United States, 2Department of Neurosurgery, University Of Minnesota, minneapolis, MN, United States, 3University Of Maastricht, Maastricht, Netherlands |
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Functional imaging with the BOLD contrast is an essential tool to investigate human brain functions, however the contribution of thermal noise compromises the signal, particularly at higher resolutions. A recently developed technique, NORDIC, aims to suppress this noise source. Here we show that NORDIC produces data with substantially higher signal-to-noise and functional contrast to noise ratios, resulting in improved detection of functional activation with no change in spatial precision. One run of denoised data is equivalent to combining 3 to 5 runs of conventional data. These effects create new opportunities for functional neuroimaging, while reducing participant or patient burden. |
| 0463 | 12:00
|
Unsupervised Correction of Sub-TR Physiological Noise using Phase and Magnitude fMRI data |
| David Bancelin1, Beata Bachrata1,2, Pedro Lima Cardoso1, Siegfried Trattnig1,2, and Simon Daniel Robinson1,3,4 | ||
1High-Field MR Centre, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Neurology, Medical University of Graz, Graz, Austria, 4Centre for Advanced Imaging, University of Queensland, Queensland, Australia |
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External physiological recordings can be used to filter out cardiac and respiration fluctuations in fMRI data but these can be unreliable. We propose an unsupervised method which derives physiological noise regressors, including cardiac fluctuations with a period much less than the volume TR, from phase and magnitude fMRI data. We compare its efficacy with a correction method which uses external recordings (RETROICOR), and a rival physiological data-free method (PESTICA). |
| 0464
|
12:00
|
fMRI deconvolution with synthesis-based Paradigm Free Mapping and analysis-based Total Activation operate identically |
| Eneko Uruñuela1, Stefano Moia1, and César Caballero-Gaudes1 | ||
1Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain |
||
Functional MRI deconvolution algorithms are gaining popularity to study the dynamicss of functional brain activity and connectivity at short timescales. This work sheds light on our understanding of two state-of-the-art approaches based on L1-norm regularized estimators: Paradigm Free Mapping (synthesis model) and Total Activation (analysis model). Through simulations with varying signal-to-noise ratios, and an experimental motor task dataset, we demonstrate that both formulations produce identical estimates of the innovation and activity-inducing signals underlying BOLD events when identical hemodynamic response and regularization parameters are used. These observations open up the possibility for future developments without questioning their core formulation and performance. |
| 0465 | 12:00
|
Brain function induces alteration in the autocorrelation of the fMRI signal |
| Ali Golestani1, Nichole R Bouffard1, Morgan D Barense1,2, and Morris Moscovitch1,2 | ||
1Department of Psychology, University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute at Baycrest, Toronto, ON, Canada |
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The autocorrelation (AC) of the fMRI signal is assumed irrelevant to the brain function and is eliminated by fMRI preprocessing. Recent findings have suggested that the brain function may alter the AC value of the fMRI signal. We used fMRI data acquired during cognitive processes of working memory (WM), mathematical computations, video watching, and resting-state, and showed that cognitively demanding tasks decrease the AC values in functionally related brain regions. Decrease in AC is related to performance on the target tasks. The AC of the fMRI signal is affected by cognitive processes and can provide complementary information about brain function. |
| 0466 | 12:00
|
LayNii: A software suite for layer-fMRI |
| Renzo Huber1, Benedikt Poser1, Peter A Bandettini2, Kabir Arora1, Konrad Wagstyl3, Shinho Cho4, Jozien Goense5, Andrew T Morgan2,5, Nils Nothnagel5, Anna K Mueller6, Job van den Hurk7, Richard C Reynolds2, Daniel R Glen2, Rainer Goebel1,8, and Omer Faruk Gulban8 | ||
1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2NIH, Bethesda, MD, United States, 3UCL, London, United Kingdom, 4CMRR, Minneapolis, MN, United States, 5University of Glasgow, Glasgow, United Kingdom, 6Uni Mainz, Mainz, Germany, 7Scannexus, Maastricht, Netherlands, 8Brain Innovation, Maastricht, Netherlands |
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| 0467
|
12:00
|
Layer-dependent 7T ASL reveals sensory input and motor output perfusion activity in human primary motor cortex |
| Xingfeng Shao1, Fanhua Guo2, Qinyang Shou1, Kai Wang1, Lirong Yan1,3, Kay Jann1,3, Peng Zhang2, and Danny JJ Wang1,3 | ||
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, 2State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 3Department of Neurology, University of Southern California, Los Angeles, CA, United States |
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High-resolution (iso-1mm) 7T ASL scans were performed on the primary motor cortex (M1) to characterize layer-dependent resting CBF, and perfusion activity to sensory input/motor output. Finger tapping (FT)-induced CBF increase shows a clear ‘double-peak’ pattern, consistent with the hypothesis that FT engaged neural activity of somatosensory input in the superficial layers and motor output in the deep layers. Finger brushing (FB)-induced CBF increase was overall smaller, and mainly peaked in superficial layers (somatosensory input and minimal motor output). These results demonstrate the high spatial specificity of 7T ASL, capable of resolving layer-dependent input and output activity in human M1. |
| 0468
|
12:00
|
Joint Estimation and Correction of Motion and Geometric Distortion in Segmented 3D Arterial Spin Labeling |
| Jörn Huber1, Daniel Hoinkiss1, and Matthias Günther1,2 | ||
1Fraunhofer MEVIS, Bremen, Germany, 2University of Bremen, Bremen, Germany |
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Assessement of CBF using Arterial Spin Labeling (ASL) can yield valuable functional information regarding different neuropathological diseases like tumors and stroke without exogenous contrast agents. However, being a subtractive technique, ASL shows high sensitivity to motion artifacts. ASL in combination with a 3D GRASE PROPELLER (3DGP) readout allows self-navigated retrospective motion correction but motion estimates using the standard reconstruction are inaccurate due to geometric distortion. In this work, a novel 3DGP reconstruction algorithm is therefore demonstrated which jointly estimates the distortion field as well as motion parameters without the need for additional reference scans. |
| 0469 | 12:00
|
Regulating labeling efficiency in arterial spin labeling using a multi-coil B0 shim array: Application to territory mapping |
| Lincoln Craven-Brightman1, Yulin Chang2, Thomas Witzel3, Nicolas S. Arango4, Meher R. Juttukonda1,5, Luis Hernandez-Garcia6, Marta Vidorreta7, John A. Detre8,9, Lawrence L. Wald5,10, and Jason Stockmann5,10 | ||
1Massachusetts General Hospital, Charlestown, MA, United States, 2Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 3Qbio Inc, San Carlos, CA, United States, 4Dept. of Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Harvard Medical School, Boston, MA, United States, 6Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 7Siemens, S.A., Madrid, Spain, 8Neurology, University of Pennsylvania, Philadelphia, PA, United States, 9Radiology, University of Pennsylvania, Philadelphia, PA, United States, 10A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States |
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We apply dynamic local B0 field control with a multi-coil (MC) shim array to improve ASL labeling. Labeling efficiency can be regulated by dynamically shimming the labeling plane during a pCASL tagging pulse train. We demonstrate this capability through territory mapping with an unspecialized MC head shim array – Through shimming, we shift target arteries relative to the labeling pulse bandwidth. Implementation takes less than 10 minutes during a scan, without previous subject information. We also simulate the improvement possible with a specialized MC neck shim array, which enables regulation in more inferior labeling planes and higher field control efficiency. |
| 0470
|
12:00
|
Quantification of blood-brain barrier water permeability and arterial blood volume with multi-slice multi-delay diffusion-weighted ASL |
| Hyun-Seo Ahn1, Jaeseok Park2, Chul Ho Sohn3, and Sung-Hong Park1 | ||
1Department of Bio and Brain Engineering, Korea Advnaced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of |
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Measurement of changes in blood-brain barrier permeability is important for early diagnosis of brain diseases. In this study, we propose multi-slice multi-delay diffusion-weighted arterial spin labeling for simultaneous acquisition of various quantitative perfusion estimates including the water exchange rate and the permeability surface area product, which are known to be closely related to BBB permeability, and blood perfusion and arterial blood volume. The water exchange rate in 4 Alzheimer patients were smaller than that in 6 normal subjects, opposed to common knowledges on BBB permeability. The proposed approach may work as a new biomarker for early diagnosis of Alzheimer disease. |
| 0471
|
12:00
|
phMRI with Simultaneous Measurement of Cerebral Perfusion and Blood-Cerebrospinal Fluid Barrier Function using Interleaved Echo-Time ASL |
| Charith Perera1, Jack Wells1, Ian Harrison1, David Thomas2,3,4, and Mark Lythgoe1 | ||
1Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom, 2Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Leonard Wolfson Experimental Neurology Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 4Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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We employed an interleaved short/long echo-time ASL sequence to better understand the differential response of vessels associated with the blood brain barrier (BBB), and the relatively understudied blood-cerebrospinal fluid barrier (BCSFB) to pharmacological perturbation in the healthy and aged brain. We measured changes in both cortical perfusion and the BCSFB-ASL signal in response CO2, caffeine, and vasopressin. Additionally, we demonstrated a marked decrease in BCSFB reactivity towards vasopressin in the aged vs adult brain. Together, these novel data highlight the value of this translational approach to capture simultaneous and differential pharmacological modulation of vessel tone at the BBB and BCSFB. |
| 0472 | 12:00
|
Venous Oxygenation Mapping using Fourier-Transform based Velocity-Selective Pulse Trains |
| Wenbo Li1,2, Peter van Zijl1,2, and Qin Qin1,2 | ||
1Radiology Department, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Kirby Image Center, Kennedy Krieger Institute, Baltimore, MD, United States |
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A T2-oximetry method is proposed to map the venous oxygenation by using Fourier-transform based velocity-selective inversion plus non-selective inversion to null the arterial blood signal while using Fourier-transform based velocity-selective saturation to suppress the tissue signal. Compared to previous schemes, the proposed method has the benefit of high SNR and insensitivity to arterial transit delays. Using this method, the venous oxygenation values obtained from two volunteers at 3T are similar between gray matter and white matter and comparable to the values measured globally. |
| 0473 | 12:00
|
VESPA ASL: VElocity and SPAtially selective Arterial Spin Labeling |
| Joseph G Woods1, Eric C Wong1, Emma Boyd2, and Divya S Bolar1 | ||
1Radiology, UCSD, La Jolla, CA, United States, 2Neurosciences, UCSD, La Jolla, CA, United States |
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Velocity-selective ASL (VSASL) accurately depicts cerebral perfusion, even in regions of severely prolonged arterial transit time (ATT). In contrast, spatially-selective ASL, such as pulsed or pseudo-continuous ASL (PCASL), preserves macrovascular signal of blood flowing to these regions. Recent work highlights the importance of using both methods in a complementary way to more completely assess cerebrovascular pathology. In this study, we describe a novel ASL pulse sequence, dubbed VESPA ASL, in which VSASL and PCASL data are simultaneously acquired within a single scan. We further describe a signal model to quantify cerebral blood flow and ATT from these two data sets. |
| 0474
|
12:00
|
Faster regional cerebral blood flow increases in infant heteromodal cortex with 2.5mm3 resolution 3D multi-shot, stack-of-spirals pCASL |
| Minhui Ouyang1, John Detre2, Chenying Zhao1,3, Samantha Lam1, J. Christopher Edgar1,2, and Hao Huang1,2 | ||
1Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States |
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During early infancy, rapid increases of regional cerebral blood flow (rCBF) supports the metabolic needs for the dramatic maturation of infant brains. In this study, we delineated the developmental pattern of infant’s rCBF from 0-18months, with an optimized 3D multi-shot, stack-of-spirals pCASL sequence for high-resolution rCBF at isotropic 2.5mm. Significant age-related rCBF increases were found during this period. The rCBF growth rates were inhomogeneous across the cortex, with faster maturation rates in the heteromodal association cortex and slower in unimodal sensorimotor cortices. Cortical regions with more rapid rCBF growth were associated with faster microstructural maturation of adjacent white matter. |
| 0475
|
12:00
|
Spatiotemporal characteristics of longitudinal changes in cerebral blood flow across the adult lifespan |
| Hualu Han1,2, Zixuan Lin2,3, Melissa Rundle4, Anja Soldan5, Corinne Pettigrew5, Joshua F. Betz6, Kumiko Oishi7, Yang Li2, Binu P. Thomas8, Peiying Liu2, Marilyn Albert5, Denise Park4, and Hanzhang Lu2,3,9 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, United States, 5Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 7Center for Imaging Science, Johns Hopkins University, Whiting School of Engineering, Baltimore, MD, United States, 8Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 9F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Characterization of age-related changes in blood supply is important in understanding brain aging. The present work reports longitudinal studies of age-related changes in cerebral blood flow (CBF) in two separate cognitively-healthy cohorts using complementary MRI techniques. We found that CBF decreased with age and the longitudinal rate of decline was faster than that from the cross-sectional data. The rate of CBF reduction was faster in younger than in older individuals, in contrast to the temporal pattern of brain volume atrophy. There were also significant spatial differences and hemispheric asymmetry in CBF decline rates. |
| 0476 | 12:00
|
Quantification of arterial obstruction in pediatric patients with pulmonary embolism using arterial spin labeled perfusion MRI of the lungs |
| Joshua S Greer1,2,3, Mubeena Abdulkarim1, Gerald F Greil1,3, Ayesha Zia1, Ananth J Madhuranthakam2,3, and Tarique Hussain1,2 | ||
1Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States, 2Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 3Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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In this study, pulmonary perfusion imaging using arterial spin labeling (ASL) was demonstrated in pediatric patients with pulmonary embolism. A method to quantify pulmonary vascular obstruction was proposed using ASL to estimate improvements in pulmonary perfusion following treatment, which moderately agreed with obstruction measured by CTA. Perfusion defects were successfully detected in all patients. A follow-up ASL scan also showed significantly improved perfusion in a patient following treatment, and a few patients had residual perfusion defects in ASL images that were not seen by CTA, suggesting that perfusion to the microvasculature was not immediately restored following resolution of the emboli. |
12:00
|
Difficult Choices in Biliary Imaging: MRCP & Contrast Agents | |
| JeongHee Yoon1 | ||
1Seoul National University Hospital, Seoul, Korea, Republic of |
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MRI including MRCP is a non-invasive modality to evaluate the bile duct. |
12:30
|
Differential Diagnosis in Biliary MRI | |
| Federica Vernuccio1 | ||
1University of Palermo, Palermo, Italy |
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Biliary MRI has a 95% sensitivity and 97% specificity for the detection of biliary dilatation. The purposes of this presentation are:– to describe imaging features of various obstructive and non-obstructive biliary diseases, providing tips for distinction between dilated bile duct pathologies;– to demonstrate the spectrum of imaging findings of focal or diffuse thickening of gallbladder wall and biliary cystadenoma/carcinoma;– to show other uncommon clinical scenarios where MRI may be useful to demonstrate biliary tree diseases. |
13:00
|
Cholangiocarcinoma: A Surgeon's Perspective | |
| Christopher Sonnenday1 | ||
1University of Michigan, United States |
13:30
|
Case Discussion | |
| Maxime Ronot1 | ||
1Hôpital Beaujon, Paris, France |
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Selected challenging cases of biliary disease will be presented and discuss. Cases will illustrate the complex diagnostic process and work-up of patients with bile duct anomalies. |
| 0477 | 12:00
|
Retrospective Assessment of the Impact of Primary Language Video Instructions on Image Quality of Abdominal MRI |
| Myles Todd Taffel1, Andrew Rosenkrantz1, Jonathan Foster1, Jay Karajgikar1, Paul Smereka1, Thomas Mulholland1, Hoi Cheng Zhang1, Felicia Calasso1, Rebecca Anthopolos2, Kun Qian2, and Hersh Chandarana1 | ||
1Radiology, NYU Langone Medical Center, New York, NY, United States, 2NYU Langone Medical Center, New York, NY, United States |
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Previous work has demonstrated inferior abdominal MRI image quality in non-English speaking patients who require a translator. While a translator may be helpful, they are often interpreting remotely via a telephone and may be unfamiliar with the intricate MRI breathing instructions. As the result of the patient watching an instructional video explaining the MRI procedure in their primary language, image quality improves to match that of studies performed in primary English speaking patients. |
| 0478
|
12:00
|
Free Breathing 2D Abdominal Magnetic Resonance Fingerprinting with quadratic RF phase |
| Sherry Huang1, Yong Chen2, Reid Bolding3, Leonardo Kayat Bittencourt4, Mark Griswold2, and Rasim Boyacioglu2 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Physics, Case Western Reserve University, Cleveland, OH, United States, 4University Hospitals Cleveland Medical Center, Cleveland, OH, United States |
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This study presents a Pilot Tone (PT) based free-breathing technique for two-dimensional simultaneous quantification of T1, T2, T2*, fat fraction (FF), water fraction (WF), and off-resonance. This technique integrates quadratic RF phase-based Magnetic Resonance Fingerprinting (qRF-MRF) and PT navigator to retrospectively provide simultaneous quantification of multiple tissue properties in the abdomen at end-inhalation and end-expiration states. |
| 0479 | 12:00
|
Breath-hold 3D gradient- and spin-echo (GRASE) MRCP compared to compressed-sensing highly accelerated respiratory-triggered technique. |
| Nobuyuki Kawai1, Yoshifumi Noda1, Kimihiro Kajita2, Hiroshi Kawada1, and Masayuki Matsuo1 | ||
1Radiology, Gifu University, Gifu, Japan, 2Radiology Services, Gifu University Hospital, Gifu, Japan |
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MR cholangiopancreatography (MRCP) plays an essential role in the noninvasive assessment of the biliary and pancreatic duct systems. Although the conventional respiratory-triggered three-dimensional turbo spin-echo (RT-3D-TSE) MRCP sequence has an excellent duct-to-periductal tissue contrast, the long acquisition time, over 5 minutes, has been a clinical burden. We assessed two types of ultrafast MRCP within 30 seconds of scan time. Breath-hold 3D gradient- and spin-echo (GRASE) MRCP provided better image quality and a reduced number of poor or non-diagnostic images compared to RT-3D-TSE MRCP highly accelerated with optimized integrated combination with parallel imaging and compressed-sensing technique (Compressed SENSE). |
| 0480 | 12:00
|
Comparison of Quantitative 3D Magnetic Resonance Cholangiopancreatography Biliary Tree Metrics derived from 3 Different Acquisition Methods |
| Neeraja Mahalingam1, George Ralli2, Gerard Ridgway2, Andrew Trout3,4,5, and Jonathan Dillman3,4,6 | ||
1Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Perspectum Ltd., Oxford, United Kingdom, 3Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 5Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 6Center for Autoimmune Liver Disease, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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Comparison of the performance of different methods of acquiring three-dimensional (3D) magnetic resonance cholangiopancreatography (MRCP) data have been largely qualitative. MRCP+ prototype software (Perspectum Ltd.; Oxford, UK) was used to derive quantitative biliary tree metrics from 3D MRCP acquired using three different methods. Intra-class correlation coefficients (ICCs) demonstrated strong agreement on biliary tree volume, median intrahepatic duct diameters, number of ducts, and length of dilations between 3D FSE and CS-FSE MRCP (ICCs=0.84-0.93); there was slightly less agreement between CS-FSE and 3D GRASE MRCP. Our results suggest that CS-FSE provides comparable visualization of the biliary system to conventional 3D FSE MRCP. |
| 0481 | 12:00
|
Investigation of risk factors for pancreatic exocrine insufficiency using 3T multiparametric MR imaging |
| Hidemitsu Sotozono1, Akihiko Kanki1, Kazuya Yasokawa1, Akira Yamamoto1, Tsutomu Tamada1, and Yu Ueda2 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Philips Japan, Tokyo, Japan |
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Retrospective study included 46 patients without pancreatic disorders including pancreatic tumor and acute pancreatitis who underwent 3T abdominal multi-parametric MRI including cine-dynamic with spatially selective inversion recovery pulse and proton density fat fraction in 3D mDIXON quant (PDFF (%)). Pancreatic exocrine function was assessed as secretion grade (SG) based on the travel distance of inflowing pancreatic juice in the main pancreatic duct on cine-dynamic MRCP. The negative correlation between PDFF of the pancreas and SG estimated by cine-dynamic MRCP with spatially selective IR pulse suggests an association between pancreatic steatosis and impaired pancreatic exocrine function. |
| 0482 | 12:00
|
Hilar cholangiocarcinoma evaluation using zoomed echo-planar DW imaging with 2D spatial-selective radiofrequency excitation pulses |
| Jingjing Liu1, Mengyue Huang1, Jingliang Cheng1, and Jinxia Zhu2 | ||
1Department of MR Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China |
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We investigated the feasibility of using and the resultant image quality of zoomed diffusion-weighted echo-planar imaging (z-EPI) for hilar cholangiocarcinoma assessments. Compared with conventional single-shot EPI (c-EPI), z-EPI showed better delineation of anatomic structures in the hepatic hilar region, better lesion conspicuity, and overall higher image quality. Bile duct wall lesion delineations and lumens were also improved in z-EPI in four of 16 patients. These findings suggest that z-EPI may be preferred for improved imaging of hilar cholangiocarcinoma. |
| 0483 | 12:00
|
Differential Changes in Brain Viscoelastic Properties Observed with MR Elastography in MS and NMOSDs |
| Ling Fang1, Matthew C. Murphy2, Qiuxia Luo1, Xiaodong Chen3, Linqi Zhang1, Bingjun He1, Jun Chen2, Jonathan M. Scott2, Meng Yin2, Kevin J. Glaser2, Richard L. Ehman2, Wei Qiu3, and Jin Wang1 | ||
1Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China |
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Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) characterized by demyelination, axonal loss and neurodegeneration. Because of overlapping clinical and imaging features, it is a challenge to distinguish MS from Neuromyelitis optica spectrum disorders (NMOSDs) for which the treatment is different. 3D MR Elastography (MRE) is a potential method to evaluate brain tissue damage in autoimmune diseases of the CNS. By measuring the viscoelasticity of the centrum ovale with 3D MRE, we found significantly decreased damping ratio and loss modulus in MS compared with NMOSDs, suggesting possible diagnostic utility for 3D MRE in MS. |
| 0484
|
12:00
|
Correlations of serum neurofilament with myelin, axonal and volumetric imaging in multiple sclerosis |
| Jackie Yik1,2, Pierre Becquart3, Jasmine Gill3, Shannon H. Kolind1,2,4,5, Virginia Devonshire5, Ana-Luiza Sayao5, Alice Schabas5, Robert Carruthers5, Anthony Traboulsee5, G.R. Wayne Moore2,3, David K.B. Li4,5, Sophie Stukas3, Cheryl Wellington3, Jacqueline A. Quandt3, Irene M. Vavasour2,4, and Cornelia Laule1,2,3,4 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 3Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5Medicine, University of British Columbia, Vancouver, BC, Canada |
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Neurofilaments, particularly the light subunit (NfL), have become a biomarker of interest in multiple sclerosis (MS) and can be measured in blood serum after neuronal damage. NfL has been studied in MS prognosis and treatment monitoring, but little is known about the relationship between NfL and advanced quantitative MRI measures. This exploratory study characterizes the relationship between NfL and myelin water fraction and diffusion measures in different brain regions through regression models. We found NfL to correlate with myelin and axonal damage measures in the whole brain and normal appearing white matter but only to myelin water fraction in lesions. |
| 0485
|
12:00
|
Disseminated brain pathology detected with high-resolution MRSI correlates with clinical disability in multiple sclerosis |
| Eva Heckova1, Alexandra Lipka1, Assunta Dal-Bianco2, Bernhard Strasser1, Gilbert Hangel1,3, Paulus Rommer2, Petra Hnilicová4, Ema Kantorová5, Lukas Hingerl1, Stanislav Motyka1, Fritz Leutmezer2, Stephan Gruber1, Siegfried Trattnig1,6, and Wolfgang Bogner1 | ||
1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Neurology, Medical University of Vienna, Vienna, Austria, 3Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 4Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia, 5Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia, 6Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria |
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To enhance the detection of diffuse pathological alterations associated with multiple sclerosis, high-resolution MR spectroscopic imaging was performed at 7T, together with clinical MRI, in 68 MS patients with different levels of clinical disability and 20 healthy controls. Increased myo-inositol, a marker of neuroinflammation-induced astrogliosis, was found in white matter regions appearing normal on clinical MRI, even in subgroup of MS patients with no evidence of clinical disability. Myo-inositol/N-acetylaspartate ratio in the NAWM and cortical gray matter correlated with EDSS, suggesting that reactive astrogliosis and axonal injury play important role in the evolution of MS-related disability. |
| 0486
|
12:00
|
Neurometabolic changes in RRMS: comparison between fingolimod and injectables therapies |
| Oun Al-iedani1,2, Saadallah Ramadan2,3, Karen Ribbons2, Rodney Lea2, and Jeannette Lechner-Scott2,4,5 | ||
1School of Health Sciences, University of Newcastle, Newcastle, Australia, 2Hunter Medical Research Institute, Newcastle, Australia, 3Faculty of Health and Medicine, University of Newcastle, Newcastle, Australia, 4Department of Neurology, John Hunter Hospital, Newcastle, Australia, 5School of Medicine and Public Health, University of Newcastle, Newcastle, Australia |
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This novel study compares the neurometabolic effects of different DMTs on the MS brain. We evaluated volumetric and neurometabolic changes in RRMS patients on fingolimod(N=52), injectables(N=46) and HCs cohort(N=51). MRS was acquired from PCG and PFC. Compared to HCs, a significant reduction in NAA/tCr were detected in both locations and cohorts. Clinical parameters, MR-volumetrics and neurometabolic concentrations showed no statistically significant differences between RRMS cohorts. MRI metrics and neurometabolites from both locations, showed moderate correlations with cognition, fatigue and memory. This the first study demonstrating that fingolimod and injectable DMTs influence volumetric and neurometabolic profiles of MS-brain similarly. |
| 0487 | 12:00
|
Grey Matter Cerebrovascular Reactivity in Multiple Sclerosis and its Changes with Immunomodulation: a Breath-Hold BOLD-MRI Study |
| Antonio Maria Chiarelli1, Daniele Mascali1, Nikolaos Petsas2, Carlo Pozzilli2, Richard Geoffrey Wise1, and Valentina Tomassini1 | ||
1Department of Neuroscience, Imaging and Clinical Sciences, University G. D'Annunzio of Chieti Pescara, Chieti Scalo, Italy, 2Department of Neurology and Psychiatry, Sapienza University, Rome, Italy |
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The cerebrovascular system is altered in MS. Using breath-hold BOLD-MRI, we tested whether pharmacological modulation of MS inflammation influences alteration in cerebrovascular reactivity (CVR). We found that CVR increased with immunomodulation and this increase was negatively correlated with pre-treatment CVR, suggesting that cerebrovascular alteration reflects disease activity. Moreover, lower CVR in the pre-treatment phase was associated with lower grey matter volume and this correlation was lost with immunomodulation, indicating an involvement of brain vasculature in neurodegeneration. Given the multiparametric characteristic of BOLD, further studies are warranted to clarify the vascular origin of our findings. |
| 0488
|
12:00
|
Toward Fully Automated Assessment of the Central Vein Sign Using Deep Learning |
| Till Huelnhagen1,2,3, Omar Al Louzi4, Mário João Fartaria1,2,3, Lynn Daboul4, Pietro Maggi5,6, Cristina Granziera7,8,9, Meritxell Bach Cuadra2,3,10, Jonas Richiardi2, Daniel S Reich4, Tobias Kober1,2,3, and Pascal Sati4,11 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, United States, 5Department of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium, 7Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 8Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 9Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 10Medical Image Analysis Laboratory (MIAL), Centre d'Imagerie BioMédicale (CIBM), University of Lausanne, Lausanne, Switzerland, 11Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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The fraction of white matter lesions exhibiting the central vein sign (CVS) has shown promise as a biomarker in the diagnosis of multiple sclerosis. As manual CVS assessment is not clinically feasible, automated solutions have been proposed to perform this task. A deep-learning-based method called “CVSnet” demonstrated effective and accurate discrimination of MS from its mimics but required manual pre-selection. This work extends CVSnet to allow fully automated CVS assessment without manual interaction. High-quality, expert-reviewed segmentations of almost 6300 lesions were used for training and testing. The proposed method achieved accuracies between 75% and 80% in an unseen testing set. |
| 0489
|
12:00
|
Damage of Different CNS Compartments Contributes to Explain Multiple Sclerosis Disability Milestones: A Multicenter Study |
| Paola Valsasina1, Milagros Hidalgo de la Cruz1, Alessandro Meani1, Claudio Gobbi2,3, Antonio Gallo4, Chiara Zecca2,3, Alvino Bisecco4, Maria A. Rocca1,5,6, and Massimo Filippi1,5,6,7,8 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland, 3Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland, 4Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 5Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 6Vita-Salute San Raffaele University, Milan, Italy, 7Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 8Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Here, we assessed damage of cortex, deep grey matter, cerebellum and cervical cord to determine their relative contributions to the main clinical disability (EDSS) milestones in a multicentre cohort of 198 multiple sclerosis (MS) patients. The main determinants of EDSS=3.0 were cervical cord and thalamic atrophy, and brain lesion burden. The EDSS=4.0 milestone was better explained by cortical atrophy, together with cord and cerebellar damage, while the only predictor of EDSS=6.0 was cervical cord damage. This study is shading light on the differential weight of inflammatory and neurodegenerative processes leading to disability accumulation across various MS disease phases. |
| 0490 | 12:00
|
Multiparametric quantitative postmortem 3T-MRI of histopathological lesion types in multiple sclerosis |
| Riccardo Galbusera1,2,3, Erik Bahn4, Matthias Weigel2,3,5, Po-Jui Lu1,2,3, Muhamed Barakovic1,2,3, Reza Rahmanzadeh1,2,3, Peter Dechent6, Antoine Lutti7, Govind Bhagavatheeshwaran8, Ludwig Kappos2,3, Wolfgang Brück4, Christine Stadelmann-Nessler4, and Cristina Granziera1,2,3 | ||
1Neurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, Basel, Switzerland, 2Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland, Basel, Switzerland, 4Institute of Neuropathology, University Medical Center, Göttingen, Germany, Göttingen, Germany, 5Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, CH, Basel, Switzerland, 6Department of Cognitive Neurology, MR-Research in Neurosciences, University Medical Center Göttingen, Göttingen, Germany, Göttingen, Germany, 7Centre for Research in Neuroscience - Department of Clinical Neurosciences, Laboratoire de recherche en neuroimagerie (LREN) University Hospital and University of Lausanne, Lausanne, Switzerland, Lausanne, Switzerland, 8National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA, Bethesda, MD, United States |
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We have identified the imaging correlates of multiple sclerosis lesion subtypes by exploiting post-mortem multiparametric quantitative MRI and histopathological analysis. Remyelinated lesions showed distinct MRI characteristics compared to other MS lesions, and a remarkable resemblance to normal-appearing tissue properties. Our findings suggest that multiparametric quantitative MRI may well help to identify specific focal lesion types in vivo in MS patients. |
| 0491 | 12:00
|
An investigation of the sensitivity of diffusion-based microstructure combined with network analysis in multiple sclerosis |
| Sara Bosticardo1, Simona Schiavi1, Sabine Schaedelin2, Po-Jui Lu3,4, Muhamed Barakovic2,3, Matthias Weigel2,3,5, Ludwig Kappos3,4, Jens Kuhle3,4, Alessandro Daducci1, and Cristina Granziera2,3,4 | ||
1Department of Computer Science, University of Verona, Verona, Italy, 2Departments of Medicine, Clinical Research and Biomedical Engineering, Neurology, University Hospital Basel and University of Basel, Basel, Switzerland, 3Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Neurologic Clinic and Policlinic, Translational Imaging in Neurology (ThINk), Basel, Switzerland, 4Research Center for Clinical Neuroimmunology and Neuroscience, Basel, Switzerland, 5Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland |
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Graph measures derived from structural connectomes are widely used to study neurodegenerative diseases such as multiple sclerosis (MS). Usually, the connection strength is assessed by counting the number of streamlines connecting pairs of grey-matter regions. Here we used different ways to weight the edges to compare the sensitivity to MS structural disruptions of three diffusion-based microstructural models and their derived maps combined with network analysis. We found that the most sensitive are those whose derived maps are associated to intra-axonal signal fraction. Moreover, the segregation of the network appeared to be the most important in explaining clinical motor disability. |
| 0492 | 12:00
|
Relayed nuclear Overhauser effect (rNOE) imaging identifies multiple sclerosis: an initial human study |
| Jianpan Huang1, Jiadi Xu2,3, Joseph H. C. Lai1, Henry K. F. Mak4, Koon Ho Chan5, and Kannie W. Y. Chan1,3,6 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China, 5Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China, 6City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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Multiple sclerosis (MS) is demyelinating disease of the central nervous system (CNS), which affects more than two million people globally. Here we applied our optimized pulsed-CEST MRI method to acquire relayed nuclear Overhauser effect weighted (rNOEw) images for detecting the pathology changes regarding myelin lipid/protein in human brain with neuromyelitis optica (NMO) and MS on clinical 3T scanner. We found that rNOEw signal of MS brains was significantly lower than that of NMO and NC brains. Our proposed rNOEw imaging method has great potential to assist MS diagnosis and specifically identify MS patients from NMO patients. |
0:00
|
PET-MR Segment | |
| Marius Mayerhoefer | ||
| Memorial Sloan Kettering Cancer Center | ||
0:00
|
Intra-Operative MR Segment | |
| Jeffrey Weinberg | ||
| The University of Texas MD Anderson Cancer Center | ||
0:00
|
MR-Linac Segment | |
| Gary Liney | ||
| Ingham Institute for Applied Medical Research | ||
0:00
|
Hybrid PET Modalities in Precision Oncology | |
| Pek-Lan Khong | ||
| The University of Hong Kong | ||
0:00
|
Engaging Audiences: Moving from the Lab Bench to the Park Bench | |
| Derek Jones | ||
| Cardiff University | ||
0:00
|
Coaching Session | |
| Robert Holtom | ||
| Robert Holtom, Narrative Coach | ||
0:00
|
3rd Annual Magnetic Moments Competition | |
| Finalist Competitors | ||
| Various | ||
| 13:00 | The Latest & Greatest: Past & Present |
| Jutta Ellermann |
| 13:30 | The Latest & Greatest: Future |
| Xiaojuan Li |
| 13:00 | AI-Based Acquisition, Reconstruction & Post-Processing |
| Joshua Trzasko |
| 13:30 | The AI-Augmented MSK Radiologist |
| Hollis Potter |
| 13:00 | Perfusion & Contrast Kinetics |
| Rianne Van der Heijden |
| 13:30 | Frontiers in Noncontrast Imaging: DWI & Spectroscopy |
| Laura Fayad |
| 0493
|
14:00
|
Probing restricted diffusion and water exchange with free gradient waveforms: Addressing the need for a compartment model |
| Arthur Chakwizira1, Filip Szczepankiewicz2, Linda Knutsson1,3, and Markus Nilsson2 | ||
1Department of Medical Radiation Physics, Lund University, Lund, Sweden, 2Department of Diagnostic Radiology, Lund University, Lund, Sweden, 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Diffusion MRI can be used to probe restricted diffusion (compartment size) and water exchange (membrane permeability), but their effects on the signal are entangled. This problem can be addressed by the use of free gradient waveforms designed to disentangle the effects. However, a previously presented approach is invalid at high b-values and long diffusion encoding times. We develop a generalised restriction-exchange model that is valid for arbitrary gradient waveform and all relevant b-values and encoding times. The approach eliminates the shortcomings of the previous restriction-exchange framework. |
| 0494
|
14:00
|
Identifying microstructural changes in diffusion MRI models; How to break parameter degeneracies |
| Hossein Rafipoor1, Saad Jbabdi1, Ludovica Griffanti1,2, and Michiel Cottaar1 | ||
1Wellcome Centre for Integrative Neuroimaging (WIN), Nuffield Department of Clinical Neurosciences (NDCN), University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging (WIN), Department of Psychiatry, University of Oxford, Oxford, United Kingdom |
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We present a novel Bayesian framework to relate changes in data to changes in model parameters even in models that cannot be directly inverted. We do so by training probabilistic models that characterise how the measurements change as a result of a change in the parameters. While the approach is general, in this work we used the framework to study microstructural parameter changes that are associated with the appearance of areas of white matter hyperintensities. We found a dichotomy between periventricular and deep white matter hyperintensities, where the latter are associated with increased extracellular signal. |
| 0495
|
14:00
|
Sensitivity of cortical kurtosis measurement to diffusion time in KINSA modeling assessed with Connectome scanner diffusion MRI |
| Tianjia Zhu1,2, Qiyuan Tian3,4, Susie Huang3,4, and Hao Huang1,5 | ||
1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Massachusetts General Hospital, Boston, MA, United States, 5Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Unlike diffusion in the white matter which can be well characterized by Gaussian diffusion, substantial non-Gaussian diffusion occur in the cerebral cortical mantle featured by widespread barriers of both somas and neurites. We have developed a non-Gaussian compartmental model Kurtosis-based Imaging of Neurite and Soma Architecture (KINSA) in previous studies. Here, we demonstrate the sensitivity of cortical kurtosis to diffusion time in KINSA modeling with both simulated data and in-vivo dMRI data from Connectome scanner. The mean kurtosis sensitivity to diffusion time allows for precisely delineating neurite and soma architecture such as neuronal density and soma radius. |
| 0496
|
14:00
|
Inhomogeneous Magnetization Transfer (ihMT): theoretical characterization of T1D-filtering and experimental validation |
| Andreea Hertanu1,2, Lucas Soustelle1,2, Arnaud Le Troter1,2, Julie Buron1,2,3, Julie Le Priellec3, Victor N. D. Carvalho1,2,4, Myriam Cayre3, Pascale Durbec3, Gopal Varma5, David C. Alsop5, Olivier M. Girard1,2, and Guillaume Duhamel1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Aix Marseille Univ, CNRS, IBDM, Marseille, France, 4Aix Marseille Univ, CNRS, ICR, Marseille, France, 5Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Inhomogeneous magnetization transfer (ihMT) signal originates from the residual dipolar interactions and is weighted by the associated dipolar relaxation time T1D. The resulting signal can be modulated by filtering the contribution of short T1D components to emphasize the contrast between different structures, or to enhance the specificity for myelin imaging. In this study, the dependency of ihMTR to T1D is investigated theoretically for different T1D-filtering strengths. Experimental WM/GM relative contrasts for the same configurations are put in perspective with theoretical contrasts resulted from single-T1D and bi-T1D biophysical model simulations. |
| 0497 | 14:00
|
A computational fluid dynamics framework to generate digital reference objects for perfusion imaging |
| Ulin Nuha Abdul Qohar1, Erik Andreas Hanson1, Steven Sourbron2, and Antonella Zanna Munthe-Kaas1 | ||
1Mathematics, University of Bergen, Bergen, Norway, 2University of Sheffield, Sheffield, United Kingdom |
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In this study, we present a simulation framework capable of generating synthetic reference perfusion MRI data suitable for evaluation and comparison of tracer kinetic models. The framework consists of a graph-based contrast agent flow model with a vascular geometry and allows for controlled simulations with realistic structural and vascular parameters. We demonstrate the potential application of the proposed framework by performing a comparison between traditional pharmacokinetic models of varying complexity, by studying the effect of ROI size. |
| 0498
|
14:00
|
On the variability of single-point MPF mapping in the human brain using different Variable Flip Angle T1 mapping protocols |
| Lucas Soustelle1,2, Thomas Troalen3, Andreea Hertanu1,2, 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, Saint-Denis, France |
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Fast macromolecular proton fraction (MPF) mapping based on single-point (SP) quantitative MT method has shown great promises for the evaluation of myelin-related studies while allowing for acceptable scan times. The SP method requires a T1 map, which is inherently biased by magnetization transfer effects. In this work, we investigate the effect of T1 maps derived from different Variable Flip Angle (VFA) protocols on the computed MPF maps. It is shown that VFA-T1 is highly variable because of MT effects, hence biasing SP-MPF maps values. The SP-MPF methodology should therefore consider MT effects in VFA-T1 estimation, especially for cross-vendor applications. |
| 0499
|
14:00
|
Rapid approximate Bayesian $$$T_2$$$ analysis under Rician noise using deep initialization |
| Jonathan Doucette1,2, Christian Kames1,2, Christoph Birkl3, and Alexander Rauscher1,2,4,5 | ||
1UBC MRI Research Centre, Vancouver, BC, Canada, 2Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5Pediatrics, University of British Columbia, Vancouver, BC, Canada |
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Rapid approximate Bayesian parameter inference is investigated for $$$T_2$$$ analysis of multi spin-echo signals. We demonstrate that rapid inference using Rician noise distributions is possible using maximum likelihood estimation (MLE) if the MLE procedure is initialized with samples drawn from an approximate Bayesian posterior. This posterior is learned using a conditional variational autoencoder (CVAE) network, trained on exclusively on simulated data. Nevertheless, we show good generalization to three diverse datasets, including improved inference accuracy compared to standard nonnegative least squares-based methods which implicitly assume Gaussian noise. |
| 0500 | 14:00
|
The variability of MR axon radii estimates in the human white matter |
| Jelle Veraart1, Erika P. Raven1, Luke J. Edwards2, Nikolaus Weiskopf2,3, and Derek K. Jones4,5 | ||
1Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, United States, 2Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany, 4School of Psychology, Cardiff University, Cardiff, United Kingdom, 5Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia |
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The accuracy of the quantification of axon radii in vivo using diffusion MRI has been promoted in recent years by hardware developments and novel biophysical modeling insights. The MR-derived effective radii are in good quantitative agreement with histology if one accounts for the intrinsic bias of diffusion MRI to larger axons. In this work, we show that the translation of MR axon diameter mapping to human neuroimaging is possible within acceptable scan times if strong diffusion-weighting gradients are available. Indeed, we demonstrate that the MR-derived effective axon radii is a reproducible and sensitive metric, with interesting inter- and along-tract variability. |
| 0501
|
14:00
|
Characterization of B1+ Field Variation at 3 Tesla in 373 Healthy Brains over the Lifespan |
| Thomas MacLennan1, Peter Seres1, Julia Rickard1, Emily Stolz1, Christian Beaulieu1, and Alan H. Wilman1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada |
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To perform accurate T1 and T2 mapping, $$$B_1^+$$$ maps are usually required, but not always available. For these situations, a large dataset of $$$B_1^+$$$ maps may aid in predicting $$$B_1^+$$$. In this work, Bloch-Siegert $$$B_1^+$$$ maps in the brain are characterized from a dataset of 373 healthy participants on the same 3 T. After transforming all maps to the same standard space, we show that $$$B_1^+$$$ distribution is similar across subjects with a mean CoV of 3.65% across the whole brain; slight variations were found due to brain size, shape, CSF volume, head orientation and transmit power calibration. |
| 0502 | 14:00
|
Predicting disability from structural and functional coupling in multiple sclerosis |
| Ceren Tozlu1, Keith Jamison1, Susan Gauthier1,2,3, and Amy Kuceyeski1 | ||
1Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 2Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York, NY, United States, 3Department of Neurology, Weill Cornell Medicine, New York, NY, United States |
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The complex relationship between brain’ structural connectivity (SC) and functional connectivity (FC) has not yet been fully quantified. Previous studies have shown that an increased SC-FC coupling is associated with worse cognitive performance and higher disability in people with multiple sclerosis (pwMS). However, no study to date investigated the association of regional SC-FC coupling with disability in MS. We showed that the SC-FC coupling performed a high prediction performance in classifying pwMS by impairment level. Damage to SC, particularly in the right parsorbitalis, thalamus, and parahippocampal and left superior parietal is a hallmark of disability in MS. |
14:00
|
Technical Overview of Real-Time Cardiac MRI | |
| Ganesh Adluru1 | ||
1Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT, United States |
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Real-time cardiac MRI allows for the application of cardiac MRI to broader patient populations. Real-time CMR involves rapid data acquisition while free-breathing, and is typically independent of ECG-gating. Undersampled k-space acquisitions combined with advanced reconstruction methods are essential for real-time CMR. Compressed sensing (CS) is a popular approach that involves data sampling patterns that generate incoherent artifacts and uses iterative L1 norm constrained reconstructions. However, CS reconstructions are time-consuming. Deep-learning reconstructions offer real-time reconstructions from undersampled data as well as rapid automatic post-processing. The talk will give an overview of technical aspects for some of the real-time applications. |
14:30
|
Pediatric Applications of Real-Time Cardiac MRI | |
| Vivek Muthurangu1 | ||
1University College London, London, United Kingdom |
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In this talk the basics of real-time in paediatric clinical practice. I will discuss state-of-the-art compressed sensing reconstructions for assessment of ventricular function and blood flow using non-Cartesian acquisitions. I will also discuss the use of machine learning as an alternative to compressed sensing for faster reconstruction and easier clinical deployment. Finally, I will discuss the use of real-time for exercise MRI. |
15:00
|
Real-Time Imaging During Exercise Stress | |
| Reza Nezafat1 | ||
1Beth Israel Deaconess Med.,Harvard Univ., United States |
15:30
|
Real-Time Cardiac MRI for MR-guided Interventions | |
| Michael Bock1 | ||
1Radiology - Medical Physics, University Medical Center Freiburg, Freiburg, Germany |
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Real-time MRI to guide interventional cardiac procedures is challenging as images need to be acquired with high frame rates of 5-10 Hz, image reconstruction must be performed with low latency, and images need to have high signal-to-noise ratio. During the intervention different contrasts are needed to visualize the instruments and to assess the anatomical and functional changes. To navigate instruments such as catheters in the coronary vasculature, active tracking methods are beneficial, and interactive display software is needed to visualize and track the instruments at the patient table. |
16:00
|
Future Directions of Real-Time MRI | |
| Adrienne E. Campbell-Washburn1 | ||
1National Institutes of Health, Bethesda, MD, United States |
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This talk will describe recent developments in real-time cardiac MR (CMR) and predict some trends that will incorporated into real-time CMR in the future. This talk describes new acquisition methods relevant to real-time CMR, the role of machine learning, computational methods for low-latency image reconstruction, and the potential of real-time CMR at lower field strengths. Real-time CMR for diagnostic imaging, monitoring of physiological provocations and MRI-guided interventions are considered. |
| 0503
|
14:00
|
Rapid Physiological Dynamics Measured by Real-Time MRI at Up to 100Hz: MR Kinematography |
| Dan Zhu1, Tricia Steinberg2, Robert G. Weiss2, Dirk Voit3, Jens Frahm3, and Paul A. Bottomley4 | ||
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 2The Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States, 3Biomedizinische NMR, Max-Planck-Institut fur biophysikalische Chemie, Gottingen, Germany, 4The Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States |
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The advent of high-speed real-time (RT) MRI permits monitoring of physiological function at unprecedented frame-rates. Here, physiological dynamics at 25-100 frames-per-second are explored using temporal domain Fourier transform (FT) and principal component analysis (PCA). RT cerebral, cardiac and pharyngeal datasets are acquired with continuous radial encoding and nonlinear inverse reconstruction implemented in graphics processing units. FT detects spectral patterns in pharyngeal images acquired during speaking. FT and PCA reflect components associated with breathing and cardiac functions in the brain while decomposition and synthesis in the time-domain can pinpoint cardiac wall motion abnormalities in patients with heart disease. |
| 0504 | 14:00
|
Spiral-in-out bSSFP Real-Time Cine on a High Performance 0.55T Scanner |
| Zhixing Wang1, Xue Feng1, John P. Mugler2, Michael Salerno3, Adrienne E. Campbell-Washburn4, and Craig H. Meyer1 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, United States, 3School of Medicine, University of Virginia, Charlottesville, VA, United States, 4Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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This abstract describes a spiral-in-out bSSFP pulse sequence combined with a low rank plus sparse (L+S) image reconstruction for ungated real-time cine on a high performance 0.55T MRI scanner. Preliminary results show that the proposed method is a promising technique for real-time cardiac imaging with high image quality and excellent temporal resolution. |
| 0505
|
14:00
|
A free-running cardiac T1* mapping sequence for quantifying dynamic changes in myocardial T1* at rest and physiological exercise |
| Rui Guo1, Haikun Qi2, Xiaoying Cai1,3, Selcuk Kucukseymen1, Hassan Haji-Valizadeh1, Jennifer Rodriguez1, Amanda Paskavitz1, Patrick Pierce1, Beth Goddu1, Richard B. Thompson4, and Reza Nezafat1 | ||
1Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, BOSTON, MA, United States, 2School of Biomedical Engineering and Imaging Sciences, London, United Kingdom, 3Siemens Medical Solutions USA, Inc, Boston, MA, United States, 4University of Alberta, Department of Biomedical Engineering, Edmonton, MA, Canada |
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In this study, we developed a free-running cardiac T1* mapping sequence (DELTA) for quantifying the dynamic changes in myocardial T1* in response to physiological exercise. DELTA adopts continuous radial acquisition, self-navigation, and adaptive acquisition window to address the challenges associated with high heart rate and deep breathing after exercise. Phantom T1* by DELTA was heart-rate insensitive and had good repeatability. In vivo T1* among multiple measurements had little variation and comparable precision with MOLLI5(3)3 T1*.In the stress/rest studies, T1* reactivity was larger during the first scan after exercise and gradually reduced along the duration of post-exercise. |
| 0506
|
14:00
|
Real-time Cardiac MRI during Exercise with Radial Sampling and Compressed Sensing: Evaluation in a Numerical Phantom and In-Vivo |
| Philip A Corrado1, Daniel Seiter1, Christopher J François2, Farhan Raza1, Kevin Johnson1, and Oliver Wieben1 | ||
1University of Wisconsin-Madison, Madison, WI, United States, 2Mayo Clinic, Rochester, MN, United States |
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We used radial sampling, parallel imaging, and compressed sensing for real-time cardiac MRI during exercise, comparing the performance of two temporal resolutions for this approach in a numerical phantom and in a human volunteer. We found the approach feasible with sufficient spatial and temporal resolution to capture myocardial motion. While a longer temporal resolution with 30 radial spokes provides better image quality during rest, shortening the temporal resolution by acquiring just 20 spokes can improve results during exercise by better capturing rapid motion such as late diastolic filling. |
| 0507 | 14:00
|
Flow and Motion Insensitive Steady State (FAMISS): Advancing ungated steady-state cardiac perfusion |
| Jason Mendes1, Johnathan Le1, Mark Ibrahim2, Ganesh Adluru1, and Edward DiBella1 | ||
1Radiology and Imaging Sciences, University Of Utah, Salt Lake City, UT, United States, 2Cardiovascular Medicine, University Of Utah, Salt Lake City, UT, United States |
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Quantitative cardiac perfusion requires reliable dynamic measurement of the contrast agent concentration in both myocardium and blood. Ungated methods offer immunity to poor ECG signals, acquire multiple cardiac phases and have been shown to achieve comparable contrast-to-noise as saturation recovery based methods. However, blood flow and cardiac motion can interrupt the steady-state and result in the calculation of inaccurate contrast agent concentrations. These errors in perfusion quantification can be avoided using a proposed Flow and Motion Insensitive Steady State (FAMISS) technique. |
| 0508 | 14:00
|
The key to extremely accelerated model-based quantitative first-pass perfusion cardiac MRI |
| Teresa M Correia1, Torben Schneider2, and Amedeo Chiribiri1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Philips Healthcare, Guildford, United Kingdom |
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First-pass perfusion cardiac MR (FP-CMR) is one of the methods of choice for evaluating myocardial ischemia. Moreover, quantitative FP-CMR methods that provide pixel-wise quantitative myocardial perfusion maps are increasingly being applied as an alternative to visual inspection. Recently, a DIRect QuanTitative (DIREQT) FP-CMR model-based reconstruction has been proposed to directly estimate myocardial perfusion maps and highly accelerate FP-CMR scans. Here, DIREQT is combined with the idea of view-sharing and KEYhole imaging (DIREQT-KEY) to improve DIREQT reconstructions, particularly from extremely accelerated FP-CMR acquisitions. DIREQT-KEY directly generates high-quality quantitative myocardial perfusion maps from less than 4 radial spokes per time frame. |
| 0509
|
14:00
|
MB-SWIFT fMRI studies in head-fixed behaving rats |
| Jaakko Paasonen1, Petteri Stenroos1,2, Hanne Laakso1, Tiina Pirttimäki1, Ekaterina Zhurakovskaya1, Raimo A Salo1, Heikki Tanila1, Djaudat Idiyatullin3, Michael Garwood3, Shalom Michaeli3, Silvia Mangia3, and Olli Gröhn1 | ||
1A.I.V. Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 2Grenoble Institut des Neurosciences, Grenoble, France, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Currently there are no tools to study simultaneously whole-brain processing and behavior in rats. Here we introduce a novel approach for fMRI studies in head-fixed and minimally restrained rats that can express behavior. This was achieved with MB-SWIFT sequence that is both quiet and insensitive to movement. First, the whole brain, including hindbrain, was functionally parcellated with high fidelity. Second, fMRI maps showing activation in relevant networks during spontaneous single behavioral events were successfully generated. Our approach links global network activity to behavior and has potential to enable novel experimental designs in neuroscience studies. |
| 0510 | 14:00
|
Linescan BOLD and diffusion fMRI signal responses triggered by activation of the rat visual system differ in time, amplitude and shape |
| Denis Le Bihan1, Luisa Ciobanu1, Yukiko Masaki1,2, and Erwan Selingue1 | ||
1NeuroSpin, Gif-sur-Yvette, France, 2Shionogi & Co., Ltd., Osaka, Japan |
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BOLD and diffusion fMRI signal response time courses following rat visual stimulation differ in time, amplitude and shape. |
| 0511 | 14:00
|
BOLD fMRI and functional ultrasound comparisons in co-registered olfactory bulb sections of the same mice |
| Davide Boido1, Ali-Kémal Aydin2, Yannick Goulam Houssen2, Demené Charlie3, Mickael Tanter3, Serge Charpak2, and Luisa Ciobanu1 | ||
1NeuroSpin, CEA, Paris, France, 2Inserm - Institut de la Vision, Paris, France, 3Physics for Medicine, ESPCI, INSERM, CNRS, PSL Research University, Paris, France |
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Using UHF (17.2T) BOLD fMRI on the mouse Olfactory Bulb (OB) we recorded odor activation at high spatio-temporal resolution (0.17x0.17x0.3 mm; TR= 250ms). With 6% 1s odor application we found fast unimodal activations. Increasing odor concentration and duration (35% 5s) we revealed the second vascular component. Adding functional ultrasound (fUS) recordings from the co-registered OB coronal section, we could verify an overall good accordance in the dynamics of BOLD and fUS signals in small ROIs (< 0.5 mm^3), although evident differences were also found in some ROIs. We aim at highlighting the relationship between local vascular activity and BOLD fMRI. |
| 0512
|
14:00
|
Neural activity-driven BOLD responses within the cortex occur first at synaptic input layers |
| Won Beom Jung1, Geun Ho Im1, Haiyan Jiang1,2, and Seong-Gi Kim1,2 | ||
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of |
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To further advance understanding of brain functions, identifying the direction of information flow, such as thalamocortical vs. corticothalamic projections, is critical. Because the early hemodynamic response at microvessels near active neurons can be detected by ultrahigh field fMRI, we propose using the onset times of fMRI responses to discern the information flow. This approach was confirmed by observing the high temporal resolution BOLD fMRI responses to bottom-up somatosensory stimulation and top-down optogenetic stimulation of the primary motor cortex in anesthetized mice at ultrahigh field of 15.2 T. |
| 0513 | 14:00
|
Layer-specific orientation selectivity in cat visual cortex using 9.4 Tesla fMRI and multi-photon optical imaging |
| Shinho Cho1, Arani Roy2, Chao Liu2, Djaudat Idiyatullin1, Wei Zhu1, Yi Zhang1, Xiao-Hong Zhu1, Prakash Kara2, Wei Chen1, and Kâmil Uğurbil1 | ||
1Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research and Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States |
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Using high isotropic resolution (250 μm), cerebral blood volume weighted (wCBV) fMRI, we examined whether layer-specific cortical signals could be detected upon visual stimulation in cat primary visual cortex. We also examined single blood vessel responses (dilation, blood flow) to identical stimuli by using 2- and 3-photon imaging in the same cortical area and species. With fMRI, we often found orientation preference maps tangential and orthogonal to the cortical surface. Moreover, the laminar profile of orientation selectivity with both imaging techniques (fMRI and optical) revealed a selectivity index that was significantly lower in cortical layer 4 compared to layer 2/3. |
| 0514
|
14:00
|
Characterize laminar-specific interhemispheric functional coherence in resting-state fMRI using bilateral line-scanning fMRI (BiLS) |
| Sangcheon Choi1,2, Yi Chen1, Hang Zeng1,2, and Xin Yu1,3 | ||
1Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, Tuebingen, Germany, 3MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States |
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We developed a bilateral line-scanning fMRI method to investigate interhemispheric slow fluctuations (< 0.1 Hz) with laminar specificity in resting-state fMRI in anesthetized rats. Based on the coherence analysis, two distinct slow fluctuation features in symmetric cortices were identified: ultra-slow fluctuation (0.01-0.02 Hz) was synchronized across all cortical laminae, and Layer 2/3 specific slow fluctuations (0.08-0.1 Hz). In contrast to the ultra-slow fluctuation related to global brain state changes, the Layer 2/3 specific slow fluctuation is more likely associated with intrinsic neuronal correlation driven by the callosal projection. |
| 0515
|
14:00
|
A rapid in vivo method for mapping cortical connections of primate amygdala with infrared neural stimulation and 7T fMRI |
| Augix Guohua Xu1, Sunhang Shi1, Yunyun Rui1, Xiaotong Zhang1, Lizabeth Romanski2, Katalin M. Gothard3, and Anna Wang Roe1 | ||
1Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, Hangzhou, China, 2Dept of Neuroscience, University of Rochester School of Medicine, Rochester, NY, United States, 3University of Arizona, Dept of Physiology, Tucson, AZ, United States |
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We have previously shown that INS-fMRI is a rapid method for mapping mesoscale brain networks in the macaque monkey brain. Here, we extend this capability by stimulating deep brain sites. We test this new method by stimulating the basal nucleus of amygdala in the macaque monkey. The connections we identified are consistent with dye-tracing studies. In conclusion, our results indicate that INS-fMRI is a promising novel method for mapping connections of deep brain structures at high spatial resolution. |
| 0516
|
14:00
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Dissecting the impact of cortical feedback and inhibitory tectotectal loops in negative BOLD responses along the rat visual pathway |
| Rita Gil1, Mafalda Valente1, Alfonso Renart1, and Noam Shemesh1 | ||
1Champalimaud Centre for the Unknown, Lisbon, Portugal |
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The underlying source of negative BOLD responses (NBRs) is still debated. Here, we show that binocular visual stimulation with short inter-stimulus-intervals (ISIs) lead to strong NBRs in the rat superior colliculus (SC). We perturbed cortical feedback loops with V1 ibotenic acid lesions and input to the ipsilateral SC via tectotectal projections through monocular stimulation. SC NBRs were upward regulated upon both V1 lesioning and monocular stimulation of non-lesioned animals. When combining reduced cortical feedback and tectotectal projections, NBRs in SC were abolished. Our results suggest an important role for corticotectal and commissural tectotectal projections in SC NBRs at short ISIs. |
| 0517 | 14:00
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Investigating Neurophysiological Basis of Resting State fMRI Signal Components through Suppression of Cortical Slow Rhythms |
| Vahid Khalilzad Sharghi1, Eric Maltbie1, Wen-Ju Pan1, Shella Keilholz1, and Kaundinya Gopinath2 | ||
1Biomedical Engineering, Emory University/Georgia Institute of Technology, Atlanta, GA, United States, 2Department of Radiology & Imaging Sciences, Emory University, Atlanta, GA, United States |
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In this study, we tested hypothesis advanced by some groups that brain slow rhythms serve as the neurophysiological basis of resting state fMRI (rsfMRI). Putative suppression of cortical rhythms with an established technique, led to significant reduction in the amplitude of rsfMRI quasi-periodic patterns (QPPs), and enhancement in the rsfMRI measures of intrinsic functional connectivity FC in canonical brain function networks in rats. The results indicate cortical slow rhythms serve as the genesis of only the vigilance dependent components (e.g., QPP) of rsfMRI signals. Further attenuation of these non-specific signals enhances delineation of brain function networks. |
| 0518
|
14:00
|
Pharmacological inactivation of ventral hippocampus disrupts central auditory processing |
| Eddie C. Wong1,2, Xunda Wang1,2, Vick Lau1,2, Alex T.L. Leong1,2, and Ed X. Wu1,2 | ||
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China |
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Audition is vital for communication, learning and memory processes. However, the hippocampus, which can support these functions, is absent from networks of auditory processing. To bridge this gap, we employed auditory fMRI and pharmacological inactivation techniques to directly characterize how hippocampal outputs affect auditory responses to auditory stimuli in primary auditory-associated structures. Using behaviorally-relevant, natural sounds for rodent behaviors, or their temporally-reversed counterparts, we revealed that absence of hippocampal output disrupts auditory responses to vocalizations in auditory midbrain, thalamus and cortex. For the first time, our results demonstrated the critical role of hippocampus in shaping response selectivity to behaviorally-relevant sounds. |
| 0519 | 14:00
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Predicting delayed union in osteoporotic vertebral fractures in the acute phase with intravoxel incoherent motion |
| Hiroyuki Takashima1,2, Tsuneo Takebayashi3, Yasuhisa Abe3, Rui Imamura1, Hiroshi Oguma3, Izaya Ogon2, Yoshihiro Akatsuka1, and Toshihiko Yamashita2 | ||
1Division of Radiology and Nuclear Medicine, Sapporo Medical University Hospital, Sapporo, Japan, 2Department of Orthopaedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan, 3Department of Orthopaedic Surgery, Sapporo Maruyama Orthopedic Hospital, Sapporo, Japan |
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Previous studies have reported that the disorder of intramedullary perfusion in the vertebral fracture (VF) delays the bone union process. However, few reports evaluating VF using intravoxel incoherent motion (IVIM) exist. The IVIM parameters between favorable and unfavorable VF prognosis were compared, and we investigated whether possible to evaluate for the VF prognosis. ADC, D, D*, and f in VF as IVIM parameters were measured, and the IVIM parameters between the favorable and unfavorable prognosis groups was compared. The IVIM parameters were significantly different between groups. Therefore, it is concluded that the IVIM analysis enables the prediction of VF prognosis. |
| 0520 | 14:00
|
Quantification of Synovial Fluid using Magnetic Resonance Fingerprinting Multicomponent Imaging in Articular Cartilage of Knee |
| Seung Eun Lee1, Joon-Yong Jung1, and Dongyeob Han2 | ||
1Seoul St. Mary’s Hospital, Seoul, Korea, Republic of, 2Siemens Healthineers, Seoul, Korea, Republic of |
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The morphologic MR imaging is limited in identifying sub-voxel sized cartilage defect due to partial volume averaging. We assessed the feasibility of synovial fluid fraction (SFF) map generated by multicomponent approach using MRF-derived relaxation maps to characterize sub-voxel sized cartilage defect. In ex vivo experiment, we proved that SFF map can quantify synovial fluid fraction in sub-voxel sized cartilage defects. In clinical study, we demonstrated that SFF map can complement morphologic imaging in cartilage segmentation and volumetric assessment. |
| 0521 | 14:00
|
Advanced Low-Field MRI of Hip Arthroplasty Implants: First Experience at 0.55 T |
| Iman Khodarahmi1, Inge Manuela Brinkmann2, Dana Lin1, Mary Bruno1, Patricia Johnson1, Florian Knoll1, Mahesh Bharath Keerthivasan2, Hersh Chandarana1, and Jan Fritz1 | ||
1Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA Inc., Malvern, PA, United States |
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Next-generation, advanced low-field MRI holds promise to improve metal artifact reduction MRI of hip arthroplasty implants due to inherently lower susceptibility effects. Using titanium-on-ceramic and metal-on-metal cobalt-chromium total hip arthroplasty implant phantoms, we compared the degree of metal artifacts and signal-to-noise ratios of MR images obtained with modified 0.55T prototype and clinical 1.5T MRI systems. The 0.55T SEMAC MR images with 6-9 encoding steps invariably demonstrated superior, near-complete metal artifact reduction. Our preliminary results suggest clinically viable sequence acquisition times of ≤ 6-min with advanced 0.55T MRI. |
| 0522 | 14:00
|
Skull MRI with MUFFIN: MUlti-Frame Forward-modeled Image Numismatics |
| Cihat Eldeniz1, Udayabhanu Jammalamadaka1, Gary B. Skolnick2, Paul K. Commean1, Kamlesh B. Patel2, and Hongyu An1 | ||
1Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 2Division of Plastic and Reconstructive Surgery, Washington University in St. Louis, St. Louis, MO, United States |
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Computed tomography (CT) is the reference method for skull imaging, but can cause cancer due to ionizing radiation. Magnetic resonance imaging (MRI) is safer, but the prolonged scan time increases the chance of motion, especially for pediatric patients. Sedation helps reduce motion significantly, but is associated with risks. A sedation-free MRI scheme that is robust to motion is therefore highly desirable. Here, we proposed such a method by making use of a radial acquisition scheme that is inherently robust to motion. The robustness was further boosted by a forward-modeled motion-corrected reconstruction. The results show the promise of the method. |
| 0523 | 14:00
|
Assessing the Viability of Carpal Bone Kinematic Profiles Extracted from 4D MRI |
| Kevin Matthew Koch1, Mohammad Zarenia2, V. Emre Arpinar2, L Tugan Muftuler3, Alyssa Joy Schnorenberg 4, Joshua Leonardis4, Brooke Slavens4, and Andrew S Nencka2 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 4University of Wisconsin, Milwaukee, Milwaukee, WI, United States |
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A unique approach to analysis of wrist mechanics is analyzed. In this approach, 4D dynamic MRI is utilized to track unconstrained movement of individual wrist carpal bones. Through a boundary-based slab-to-volume registration approach, fiducial points identified or computed on high resolution static images are tracked using the dynamic time series to generate time-domain signals indicative of independent and relative carpal bone movement. After rudimentary processing of 12 derived signals, each computed on 3 asymptomatic control subjects, correlation analysis is utilized to elucidate the utility of these metrics in establishing a normative kinematic profile of the healthy wrist. |
| 0524 | 14:00
|
2D Texture Analysis based approach for detection of Osteoporosis on 1.5T on T1-weighted MR images |
| Preety Krishnan1, Tejas J Shah2, Akshay Godkhindi2, Rupsa Bhattacharjee3, Stanley Kovil Pichai3, Ajay Krishnan1, Bharat Dave1, and Indrajit Saha3 | ||
1Stavya Spine Research Institute, Ahmedabad, India, 2MR, Philips Innovation Campus, Bangalore, India, 3Philips India Limited, Gurgaon, India |
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Given the prevalence and disease burden of osteoporosis, it is critical to detect it as early as possible. This is challenging not only because the disease is typically asymptomatic but also due to known limitations of the gold standard method of DEXA. The aim of this study was to determine if alternative approach of 2D texture analysis in L1-L5 lumbar spine on T1W images can be used to detect osteoporosis. It is demonstrated that such an approach can indeed be used to clinically detect osteoporosis with an AUC of 0.8. |
| 0525 | 14:00
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Transverse Relaxation Anisotropy of Tendons Studied by MR Microscopy |
| Benedikt Hager1,2,3, Markus M. Schreiner4, Sonja M. Walzer4, Lena Hirtler5, Vladimir Mlynarik1, Martin Zalaudek1, Andreas Berg6, Xeni Deligianni7,8, Oliver Bieri7,8, Reinhard Windhager4, Vladimir Juras1, and Siegfried Trattnig1 | ||
1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria, 2CD Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Austrian Cluster for Tissue Regeneration, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria, 4Department of Orthopedics and Trauma-Surgery, Medical University of Vienna, Vienna, Austria, 5Center for Anatomy and Cell Biology, Division of Anatomy, Medical University of Vienna, Vienna, Austria, 6Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 7Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland, 8Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland |
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In this study, we analyzed the T2* anisotropy and mono- vs. bi-exponentiality of T2* decay of Achilles and patellar tendons in vitro with a variable echo time sequence, ultrashort echo times and microscopic resolution and compared the results with histological findings. A total of four human Achilles tendons and four patellar tendons were measured at their maximum and minimum dipolar interaction (0°, 55°). In addition, one Achilles tendon and one patellar tendon were measured at 11 fiber-to-field angles (0,10,20,30,40,50,60,70,80,90°) each in order to study the change in T2* values at these angles. |
| 0526
|
14:00
|
Measures of bone water and porosity are associated with whole-bone stiffness and mineral density in the human femur |
| Brandon Clinton Jones1,2, Hyunyeol Lee1, Shaowei Jia1,3, Anna Feng1, Snehal S Shetye4, Hee Kwon Song1, Felix Werner Wehrli1, and Chamith Sudesh Rajapakse1,4 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Biomedical Science and Medical Engineering, Beihang University, Beijing, China, 4Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, United States |
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UTE measures of cortical bone water were evaluated in 15 cadaveric proximal femora. Pore water content, total water content, and porosity index were all negatively associated with whole-bone stiffness obtained in a sideways fall loading configuration and with volumetric bone mineral density. In contrast, bound water content was not found to be related to stiffness or mineral density. This data suggest that bone water measures may provide useful information on cortical bone mechanical competence. |
| 0527 | 14:00
|
Simultaneous assessment of vertebral fractures and edema of the thoracolumbar spine on water-fat and SW images derived from a single-TE UTE scan |
| Sophia Kronthaler1, Christof Boehm1, Peter Börnert2, Ulrich Katscher2, Kilian Weiss3, Marcus R. Makowski1, Benedikt J. Schwaiger1, Alexandra S. Gersing1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips Research Laboratory, Hamburg, Germany, 3Philips Healthcare, Hamburg, Germany |
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CT and MR imaging are often both performed in patients with vertebral fractures or degenerative changes, with CT aiming at the characterization of osseous changes and the MR focusing on bone marrow edema. CT is associated with radiation exposure and therefore it is desirable to assess both soft-tissue and osseous components in one MR examination. The present work develops a methodology for simultaneously extracting susceptibility weighted imaging (SWI) and single point Dixon imaging based on a single-TE ultrashort echo time (UTE) scan to simultaneously assess vertebral fractures and degenerative bone changes in the thoracolumbar spine with a single MR sequence. |
| 0528 | 14:00
|
Quantification of bone marrow edema in RA by using high-speed T2-corrected multiecho acquisition of 1H magnetic resonance spectroscopy |
| Wenzhao Yuan1, Yiwu Lei1, Cheng Tang1, Fang Qin1, Jing Wen1, Chenhui Li2, Min Ling1, Jiang Huang1, Huiting Zhang3, and Liling Long1 | ||
1The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Siemens Healthcare Ltd., Guangzhou, China, 3Siemens Healthcare Ltd., Wuhan, China |
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The purpose of this study was to determine whether high-speed T2-corrected multiecho (HISTO) sequences can quantify bone marrow edema (BME) in the capitate bone in rheumatoid arthritis (RA), and whether the HISTO fat fraction (FF) reflects therapeutic effectiveness. The results showed that the HISTO sequence can measure the bone marrow FF of the wrist joint in RA patients. We also found that the HISTO sequence may help quantify BME in RA and help monitor the effectiveness of RA treatment. |
| 0529 | 14:00
|
Deep learning based radial de-streaking for free breathing time resolved volumetric DCE MRI |
| Sagar Mandava1, Xinzeng Wang2, Ty Cashen3, Tetsuya Wakayama4, and Ersin Bayram2 | ||
1GE Healthcare, Atlanta, GA, United States, 2GE Healthcare, Houston, TX, United States, 3GE Healthcare, Madison, WI, United States, 4GE Healthcare, Hino, Japan |
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Radial imaging is becoming increasingly popular due to its ability to support highly accelerated imaging. However, it is plagued by streak artifacts that often arise from undersampling which can lead to poor image quality. The problem is particularly acute in time resolved imaging where the need for high spatio-temporal sampling usually leads to large amount of streaks. In this work, we propose a method for separate spatial and temporal deep learning for streak artifact reduction. The utility of the method is demonstrated on free breathing time resolved volumetric DCE MRI acquired using the stack-of-stars trajectory. |
| 0530
|
14:00
|
Motion Analysis in Fetal MRI using Deep Pose Estimator |
| Junshen Xu1, Esra Abaci Turk2, Borjan Gagoski2, Polina Golland3, P. Ellen Grant2,4, and Elfar Adalsteinsson5 | ||
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 3Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Massachusetts Institute of Technology, Cambridge, MA, United States |
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Fetal motion is an important measure for monitoring fetal health and neurological function. However, current clinical MRI and ultrasound assessments of fetal motion are qualitative and cannot reflect detailed 3D motion of each body part. In this work, we propose a method for fetal motion analysis in MRI using a deep pose estimator. We train a neural network to estimate fetal pose from MR volumes, and extract quantitative metrics of motion from the time series of fetal pose. In the experiments, we study how different conditions affect fetal motion, such as gestational age and maternal position during scan. |
| 0531 | 14:00
|
Automatic segmentation of uterine endometrial cancer on MRI with convolutional neural network |
| Yasuhisa Kurata1, Mizuho Nishio1, Yusaku Moribata2, Aki Kido1, Yuki Himoto1, Koji Fujimoto3, Masahiro Yakami2, Sachiko Minamiguchi4, Masaki Mandai5, and Yuji Nakamoto1 | ||
1Diagnostic Imaging and Nuclear Medicine, Kyoto university hospital, Kyoto, Japan, 2Preemptive Medicine and Lifestyle-Related Disease Research Center, Kyoto university hospital, Kyoto, Japan, 3Real World Data Research and Development, Graduate School of Medicine Kyoto University, Kyoto, Japan, 4Diagnostic Pathology, Kyoto university hospital, Kyoto, Japan, 5Gynecology and Obstetrics, Kyoto university hospital, Kyoto, Japan |
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Endometrial cancer is the most common gynecological malignant tumor in developed countries, and accurate preoperative risk stratification is essential for personalized medicine. For realizing tumor feature extraction by radiomics approach, the segmentation of the tumor is usually required. The model developed in this study has achieved high-accuracy automatic segmentation of endometrial cancer on MRI using a convolutional neural network for the first time. Using multi-sequence MR images were important for high accuracy segmentation. Our model will lead to efficient medical image analysis of a large number of cases using the radiomics approach and/or deep learning methods. |
| 0532
|
14:00
|
Evaluation of Data Augmentation Methods for Autonomous Segmentation of Placental Volume for Detecting Viral Complications |
| Thomas Lilieholm1, Ruiming Chen1, Ruvini Navaratna1, Daniel Seiter1, Walter F Block1,2,3, and Oliver Wieben1,2,3 | ||
1Medical Physics, University of Wisconsin at Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin at Madison, Madison, WI, United States, 3Radiology, University of Wisconsin at Madison, Madison, WI, United States |
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Quantitative investigation of placental volumes can be used for characterization of Zika virus (ZIKV) infection, which causes several complications for developing fetuses. To provide more rapidly available image segmentation for analysis, efforts are being made to produce Convolutional Neural Networks (CNN) for autonomous segmentation of placental volume images. We investigated a number of data augmentation techniques for training machine learning models to determine which methods may be most suited for further development of ZIKV-quantifying placental segmentation models. We found rotational and reflective data augmentation to produce the greatest improvement in machine-segmentated Dice Coefficient comparisons. |
| 0533 | 14:00
|
Automated Image Prescription for Liver MRI using Deep Learning |
| Ruiqi Geng1,2, Mahalakshmi Sundaresan3, Jitka Starekova1, Collin J Buelo1,2, Nikolaos Panagiotopoulos1, Marcin Ignaciuk1, Thekla Helene Oechtering1, Scott B Reeder1,2,4,5,6, and Diego Hernando1,2 | ||
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, 4Medicine, 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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To enable fully free-breathing, single button-push liver exams, an automated AI-based method for image prescription of liver MRI was developed and evaluated. A total of seven classes of rectangular bounding boxes covering the liver, torso, and arms for each localizer orientation were manually and automatically labeled to enable 3D prescription in any orientation. The intersection over union (IoU) between manual and automated 2D liver detection had a median > 0.88 and interquartile range < 0.11 for all classes. The shift in the resultant 3D axial prescription was less than 9 mm in S/I dimension for 91% of the test dataset. |
| 0534
|
14:00
|
Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI |
| Fasil Gadjimuradov1,2, Thomas Benkert2, Marcel Dominik Nickel2, and Andreas Maier1 | ||
1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany |
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Signal-dropouts due to pulsation are one of the most prominent artifacts in diffusion-weighted imaging (DWI) of the liver. It can affect a significant portion of the repetitions acquired for a given slice. Instead of performing uniform averaging which might result in locally attenuated liver signal, this work proposes to train a convolutional neural network (CNN) to estimate smooth weight maps for individual repetitions. This allows to locally suppress signal-dropouts, resulting in more homogeneous liver signal while maintaining signal-to-noise ratio (SNR) in artifact-free image regions. |
| 0535 | 14:00
|
Utility of Texture Analysis on Quantitative Susceptibility Maps to Stage Hepatic Fibrosis |
| FengLing Gan1, Shuohui Yang2, Feng Xing3, Zheng Qu1, Gaiying Li1, Chenyao Yang2, Rongfang Guo2, Jiling Huang2, Fang Lu2, Caixia Fu4, Xu Yan4, Kelly Gillen5, Yi Wang5, Chenghai Liu3, Songhua Zhan2, and Jianqi Li1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, shanghai, China, 2Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, shanghai, China, 3Department of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, shanghai, China, 4MR Collaboration NE Asia, Siemens Healthcare, shanghai, China, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States |
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Hepatic fibrosis is characterized by excessive accumulation of extracellular matrix (ECM) proteins including collagen, which would contribute strong diamagnetic susceptibility in the liver tissue due to enhanced density of orbiting electrons. This study measured the texture features on susceptibility maps in patients with chronic liver diseases. The results showed that some of the second-order texture parameters were significantly different between cohorts of significant hepatic fibrosis (Ishak-F ≥ 3) and non-significant hepatic fibrosis (Ishak-F < 3). The texture analysis on susceptibility maps may have the potential to stage hepatic fibrosis. |
| 0536 | 14:00
|
Discriminative feature learning and adaptive fusion for the grading of hepatocelluar carcinoma with Contrast-enhanced MR |
| Wu Zhou1, Shangxuan Li1, Wanwei Jian1, Guangyi Wang2, Lijuan Zhang3, and Honglai Zhang1 | ||
1School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China, 2Department of Radiology, Guangdong General Hospital, Guangzhou, China, 3Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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The combination of context information from multi-modalities is remarkably significant for lesion characterization. However, there are still two remaining challenges for multi-modalities based lesion characterization including features overlapping between different tumor grades and large differences in modal contributions. In this work, we proposed a discriminative feature learning and adaptive fusion method in the framework of deep learning architecture for improving the performance of multimodal fusion based lesion characterization. Experimental results of grading of clinical hepatocellular carcinoma (HCC) demonstrate that the proposed method outperforms the previously reported fusion methods, including concatenation, correlated and individual feature learning, and deeply supervised net. |
| 0537 | 14:00
|
Automatic Detection of Small Hepatocellular Carcinoma (≤2 cm) in Cirrhotic Liver based on Pattern Matching and Deep Learning |
| Rencheng Zheng1, Luna Wang2, Chengyan Wang3, Xuchen Yu1, Weibo Chen4, Yan Li5, Weixia Li5, Fuhua Yan5, He Wang1,3, and Ruokun Li5 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Shanghai Chest Hospital, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China, 4Market Solutions Center, Philips Healthcare, Shanghai, China, 5Department of Radiology, Ruijin Hospital, Shanghai, China |
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This study presented an algorithm for small hepatocellular carcinoma (sHCC) detection and segmentation in cirrhotic liver based on diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) images. The model included two-steps: screening of suspicious lesions in DWI using pattern matching algorithm; identification and segmentation of true lesions in DCE based on deep learning. The proposed model exhibited superior performance in sHCC (≤2 cm) detection and segmentation, which significantly outperformed the Liver Imaging Reporting and Data System (LI-RADS) based diagnosis. |
| 0538 | 14:00
|
Peritumoral Dilation Radiomics of Gd-EOB-DTPA MRI Predicts Early Relapse in Hepatocellular Carcinoma Without Macrovascular Invasion |
| Huan-Huan Chong1,2, Yu-Da Gong3, Lei Chen4, Xian-Pan Pan4, Ai-E Liu4, Chun Yang2, and Meng-Su Zeng1,2,5 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China, 4Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China, 5Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai, China |
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Preoperatively identifying predisposing predictors of early relapse is crucial for stratifying patient risk, performing prompt intervention and improving long-term outcome. Whether peritumoral dilation radiomics can predict early recurrence in hepatocellular carcinoma(HCC) patients without macrovascular invasion remains unclear. Hence, we developed a bi-regional (the entire tumor and peritumoral zone within 1 cm) radiomics of gadoxetate disodium-enhanced (Gd-EOB-DTPA) MRI, which derived a satisfying discrimination in 2-year recurrence by the 5-fold cross-validation method. |
| 0539
|
14:00
|
Twelve-Year Microstructural Changes in The Deep Gray Nuclei in Parkinson’s Disease: A Serial Diffusion Tensor Imaging Study |
| Yao-Chia Shih1,2, Qi Rong Leon Ooi3, Septian Hartono2,3, Thomas Welton2,3, Hui-Hua Li2,4, John Carson Allen2, Eng King Tan2,3, and Ling Ling Chan1,2 | ||
1Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Department of Neurology, National Neuroscience Institute (Outram-campus), Singapore, Singapore, 4Health Services Research Unit, Singapore General Hospital, Singapore, Singapore |
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Diffusion tensor imaging (DTI) characterizes microstructural changes in the basal ganglia in relation to idiopathic Parkinson's disease (PD). However, inconsistent results due to short-interval longitudinal studies with heterogeneous neuropathology across PD stages have been reported. We elucidated microstructural changes in the deep gray nuclei throughout the disease course in a large, prospective, three time-point case-control DTI study in PD over twelve years, with six-year interval gaps. Increased mean striatal diffusivity reflected progressive neurodegeneration, whereas factional anisotropy changes suggested effects of abnormal iron accumulation followed by neuronal loss in the putamen and thalamus as the disease progresses into the late stages. |
| 0540 | 14:00
|
Characterizing white matter microstructural alterations in de novo Parkinson’s disease using diffusion MRI |
| Yiming Xiao1,2, Terry M Peters3,4,5, and Ali R Khan3,4,5,6 | ||
1PERFORM Centre, Concordia University, Montreal, QC, Canada, 2Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada, 3Robarts Research Institute, Western University, London, ON, Canada, 4Department of Medical Biophysics, Western University, London, ON, Canada, 5School of Biomedical Engineering, Western University, London, ON, Canada, 6The Brain and Mind Institute, Western University, Lonon, ON, Canada |
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Understanding microstructural alterations in white matter can be instrumental in revealing pathogenesis and devising effective plans to treat Parkinson’s disease (PD). Diffusion MRI can be used to characterize the status of white matter integrity. With voxel-based analysis using DTI measures and fixel-based analysis (FBA), we demonstrated for the first time strengthened and weakened white matter integrity, which is subject to laterality of motor symptoms in de novo Parkinson’s disease. The findings suggest that the disease gives rise to both functional degeneration and the creation of compensatory networks. |
| 0541 | 14:00
|
Progressive microstructural alterations in subcortical nuclei in Parkinson's disease: a diffusion magnetic resonance imaging study |
| Xueqin Bai1, Tao Guo1, Xiaojun Guan 1, Cheng Zhou1, Jingjing Wu1, Xiaocao Liu1, Ting Gao1, Luyan Gu1, Xiaojun Xu1, Peiyu Huang1, and Minming Zhang1 | ||
1The second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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In this study, we employed diffusion kurtosis imaging (DKI) and diffusion tensor imaging (DTI) to measure the microstructural alterations in subcortical nuclei across PD patients at different disease stages. Individual diagnostic model was constructed to test the performance of diffusion metrics in identifying PD patients at different stages. We found that PD patients at different stages have progressive microstructural alterations in the main nuclei of widely acknowledged nigral-pallidal and thalamo-cortical pathways. DKI is sensitive to detect microstructural changes in GP and thalamus between early stage PD and moderate-late stage PD patients. The combination of kurtosis and tensor metrics can achieve a good performance in diagnosing PD. |
| 0542
|
14:00
|
Microstructure of grey matter nuclei in early Parkinson’s disease: longitudinal study using diffusion kurtosis imaging |
| Thomas Welton1,2, Septian Hartono3, Yao-Chia Shih3, Samuel Y-E Ng1, Nicole S Y Chia1, Weiling Lee3, Say Lee Chong3, Eng-King Tan1,2,3, Ling-Ling Chan1,2,3, and Louis CS Tan1,2 | ||
1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Singapore General Hospital, Singapore, Singapore |
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We show that the diffusion kurtosis characteristics of grey matter nuclei in early Parkinson's disease were abnormal and that this abnormality was maintained over two years. Furthermore, elevated mean kurtosis was associated with worsening motor function. This supports the use of diffusion kurtosis imaging to characterise tissue microstructure and potentially monitor disease progression even in early Parkinson's disease. |
| 0543 | 14:00
|
Tract Density Imaging in Patients with Parkinson’s Disease Before and After Magnetic Resonance-guided Focused Ultrasound |
| Yu Shen1, Xianchang Zhang2, Yan Bai1, Rui Zhang1, Rushi Chen1, Wei Wei1, Menghuan Zhang1, and Meiyun Wang1 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd. Beijing China, Beijing, China |
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Magnetic resonance-guided focused ultrasound (MRgFUS) is a non-invasive tremor therapy associated with Parkinson disease (PD). Conventional fractional anisotropy analysis might neglect pre- and postoperative microanatomic changes due to low spatial resolution. Finer brain structural depictions could be provided using track density imaging (TDI), a super-resolution reconstruction method. This study conducted TDI on seven patients with PD before and 1-month after MRgFUS and found that tract density values were significantly decreased postoperatively in the genu of the corpus callosum and left globus pallidus. TDI could be a valuable tool for detecting microstructural changes after MRgFUS therapy. |
| 0544 | 14:00
|
Investigating Spatiotemporal Changes in Dopamine, Neuromelanin and Iron in the Nigrostriatal System in Parkinson's Disease |
| Emma Biondetti1,2,3, Mathieu D. Santin1,2, Romain Valabrègue1,2, Graziella Mangone1,4, Rahul Gaurav1,2,3, Nadya Pyatigorskaya1,3,5, Matthew Hutchison6, Lydia Yahia-Cherif1,2, Nicolas Villain1,7, Marie-Odile Habert8, Isabelle Arnulf1,3,9, Smaranda Leu-Semenescu9, Pauline Dodet9, Jean-Christophe Corvol1,4,7, Marie Vidailhet1,3,7, and Stéphane Lehéricy1,2,3,5 | ||
1Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France, 2ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France, 3ICM, Team “Movement Investigations and Therapeutics” (MOV’IT), Paris, France, 4National Institute of Health and Medical Research - INSERM, Clinical Investigation Centre, Pitié-Salpêtrière Hospital, Paris, France, 5Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France, 6Biogen Inc., Cambridge, MA, United States, 7Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France, 8Department of Nuclear Medicine, Pitié-Salpêtrière Hospital, AP-HP, Paris, France, 9National Reference Center for Rare Hypersomnias, Pitié-Salpêtrière Hospital, AP-HP, Paris, France |
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Parkinson's disease (PD) and idiopathic rapid eye movement sleep behaviour disorder (iRBD, a prodromal condition of Parkinsonism) are characterised by progressive striatal dopaminergic denervation, loss of neuromelanin-containing neurons and increased iron deposition in the substantia nigra. Here, we evaluated neurodegeneration-induced changes in the nigrostriatal system of PD and iRBD patients using longitudinal SPECT and MR imaging compared to healthy control subjects. We showed that dopamine, neuromelanin and iron changes followed similar spatiotemporal gradients of neurodegeneration, and we assessed the temporal onset and ordering of such changes. |
| 0545 | 14:00
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Tracking serial Parkinson’s related changes in the substantia nigra using Neuromelanin MRI and free-water diffusion MRI |
| Yue Xing1,2,3, Saadnah Naidu1,2,3, Halim Abdul-Sapuan1,2,3, Ali-Reza Mohammadi-Nejad2,3, Jonathan Evans4, Ofer Pasternak5, Stamatios Sotiropoulos2,3, Christopher R. Tench1,3, and Dorothee P. Auer1,2,3 | ||
1Division of Clinical Neuroscience, Queen’s Medical Centre, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 4Department of Neurology, Nottingham University Hospital Trust, Nottingham, United Kingdom, 5Departments of Psychiatry and Radiology (O.P.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States |
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Parkinson’s Disease (PD) is characterized by loss of neuromelanin-containing dopaminergic neurons in the substantia nigra (SN), resulting in depigmentation as its pathological hallmark. Neuromelanin (NM)-sensitive-MRI consistently shows PD-related nigral signal-loss with limited evidence for longitudinal change. Nigral free-water (FW) derived from diffusion-MRI can track disease progression. This multimodal-serial study compared subregional annual depigmentation rates and FW in PD and controls. Longitudinal NM signal-loss and FW increase was seen in PD throughout the SN with significant acceleration compared to controls in the ventral-SN. There was no between-metrics correlation, suggesting that these promising serial biomarkers may track different aspects of PD progression. |
| 0546 | 14:00
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Distinct cognitive and anthropometric functional connectivity traits of cognitive decline in Parkinson’s disease using partial least squares. |
| Vicente Jose Ferrer-Gallardo1, Thomas Bolton2, Manuel Delgado3, Pedro M. Paz-Alonso1, Maricuz Rodriguez-Oroz4, and César Caballero-Gaudes1 | ||
1Basque Center on Cognition, Brain and Language, Donostia, Spain, 2Medical image processing, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, 3Department of Neurology, Sierrallana Hospital, Torrelavega, Spain, 4Neurology Department, Clinica Universidad de Navarra, Pamplona, Spain |
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Cognitive deficits in Parkinson’s Disease (PD) are associated with abnormalities in functional brain networks that can be observed at rest. This study investigates whole-brain independent functional-connectomes in PD patients with mild cognitive impairment (PD-MCI), associating these functional connectomes with cognitive and anthropometric measures using partial least squares (PLS) regression. We found a clear distinction between two sets (PLS-components) with functional connectomes either linked to cognitive scores or anthropometric variables. A PD-specific subcortical-cortical functional connectome was common in the two PLS-components. Furthermore, in PD-MCI a functional connectome defined by attentional and sensorimotor regions linked to attention and memory deficits is critical. |
| 0547 | 14:00
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Dysfunction of Olfactory Resting-State Functional network in Early-onset Early-stage Parkinson’s Disease |
| Jianli Wang1, Rachel Stanford1, Lauren Spreen2, Jeffrey Vesek2, Christopher Sica1, Thyagarajan Subramanian3, and Qing X Yang4 | ||
1Radiology, Penn State College of Medicine, HERSHEY, PA, United States, 2Molecular Biology, Penn State College of Medicine, HERSHEY, PA, United States, 3Neurology, Penn State College of Medicine, HERSHEY, PA, United States, 4Neurosurgery, Penn State College of Medicine, HERSHEY, PA, United States |
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Hyposmia is prevalent in Parkinson’s disease (PD) and the central olfactory system is highly affected by PD pathology. Despite the considerable progresses in understanding the pathophysiology of the disease, the mechanism causing hyposmia in PD is still unclear. Given that there is early PD-related neurodegeneration in anterior olfactory nucleus, which is a part of the primary olfactory cortex, we tested the hypothesis that there are PD-related dysfunctions in the central olfactory functional network at the early stage of disease. |
| 0548
|
14:00
|
Ultra-high field imaging of deep brain stimulation at 7T: The first study of RF safety, displacement force and image artifact |
| Bhumi Bhusal1, Jason Stockmann2, Azma Mareyam2, John Kirsch2, Lawrence L Wald2, Mark J Nolt1, Joshua Rosenow1, Roberto Lopez-Rosado1, Behzad Elahi1, and Laleh Golestanirad1 | ||
1Northwestern University, Chicago, IL, United States, 2Massachusetts General Hospital, Charlestown, MA, United States |
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We report the results of MRI safety and image artifact assessment of a commercial deep brain stimulation (DBS) system implanted in an anthropomorphic phantom, undergoing MRI at 7T. RF heating was observed to be less than 2°C for all clinically relevant as well as worst-case configurations evaluated in the study. The magnetic force on the pulse generator was found to be within the safe limit. Metal-induced image artifact was comparable to what is observed at lower fields. Our results indicate that 7T MRI could be performed safely in patients with DBS implants under carefully evaluated device model and MRI hardware. |
| 14:00 | MRF & Synthetic MRI: How Does It Work? |
| Anagha Deshmane |
| 14:30 | MRF & Synthetic MRI of the brain: What Is It Good For? |
| Christina Andica |
| 14:00 | PC-MRI: State-of-the-Art Techniques |
| Olivier Baledent |
| 14:30 | 4D PC MRI in the brain: basics and applications |
| Susanne Schnell |
| 14:00 | MRI of DBS Patients: Safety & Technical Challenges |
| Laleh Golestani Rad |
| 14:30 | Application of MRI to DBS Patients |
| Noam Harel |
14:00
|
Cell Therapy, Senior Talk: 19F MRI of Dendritic Cell-Based Therapeutics for Rheumatoid Arthritis | |
| Catharien Hilkens | ||
| Newcastle University | ||
14:30
|
Cell Therapy, Junior Talk: MR Imaging of Tumour-Associated Macrophage Changes with Immunotherapy | |
| Fanny Chapelin | ||
| University of Kentucky | ||
15:00
|
Gene Therapy, Senior Talk: MR-Guided Gene Therapy for Parkinson’s Disease | |
| Krzysztof Bankiewicz | ||
| Ohio State University | ||
15:30
|
Gene Therapy, Junior Talk: CEST-MRI of Gene Editing | |
| Bonnie Lam | ||
| University of California, Berkeley | ||
16:00
|
The Industry Perspective | |
| James Goodman | ||
| Pfizer | ||
| 15:00 | Basic Theory of Motion Artifacts in MRI |
| Andy Alexander |
| 15:30 | Motion correction tools for fetal MRI |
| Alena Uus |
| 15:00 | Quantitative Multi-Contrast MRI in Parkinson's Disease |
| Fuhua Yan |
| 15:30 | Introduction to Synthetic MRI |
| Debra McGivney |
| 15:00 | Clinical Application of Accelerated MRI |
| Kieren Hollingsworth |
| 15:30 | State-of-the-Art MRI Acceleration Techniques |
| Kamlesh Pawar |
| 15:00 | MR-Guided Radiotherapy: clinical application and developments with on-board MRI |
| Yingli Yang |
| 15:30 | MRI Guided Minimally Invasive Procedure for Brain Interventions |
| Guangzhi Wang |
| 0549 | 16:00
|
Multi-parametric R2’ Measurement of Brain Oxygen Extraction Fraction: Reproducibility and Application in Moyamoya Disease |
| Matthew Kim1, Denise Zhong1, Moss Y Zhao2, David Y.T Chen3, David D Shin4, Greg Zaharchuk2, and Audrey P. Fan1,5 | ||
1Department of Biomedical Engineering, University of California, Davis, Davis, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan, 4General Electric Healthcare, San Ramon, CA, United States, 5Department of Neurology, University of California Davis, Davis, CA, United States |
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We quantified R2’ as a biomarker of brain oxygen extraction fraction (OEF) using a multi-parametric approach, based on multi-echo gradient echo (R2*) and fast spin echo scans (R2). Healthy volunteers received repeat scans after 1-2 weeks and the coefficient of variation of R2’ was low (4.4-8.3% in vascular territories), indicating good R2’ scan-rescan reproducibility. R2’ was also inversely correlated with PET scans of cerebral blood flow in healthy controls, as expected. In 14 Moyamoya patients, elevated R2’ (indicating abnormal, high OEF) was observed both in brain regions with and without artery stenosis, and provided complementary information to cerebral perfusion. |
| 0550
|
16:00
|
Simultaneous 3D T1 and B1+ mapping at 7T using MPRAGE with multiple volumes and driven equilibrium (DE) |
| Hampus Olsson1, Mads Andersen2, Mustafa Kadhim1, and Gunther Helms1 | ||
1Department of Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden, 2Philips Healthcare, Copenhagen, Denmark |
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MP2RAGE has become popular for T1 mapping at 7T. Accuracy is yet improved by using a separately acquired flip angle map when creating the protocol-specific lookup table. Here, two additional volumes acquired at differing flip angles are added to an MP2RAGE sequence to obtain two separate states of driven equilibriums, effectively forming a dual flip angle protocol within the cycle. By estimating the accelerated effective relaxation, T1*, from the signals, both T1 and B1+ can be solved for analytically. Thus, a multi-volume MPRAGE sequence is turned into a dedicated high-resolution T1 and flip angle-mapping protocol. |
| 0551 | 16:00
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STARE (Steady-state T2 And Rf Estimation) - A fast 3D-GRE acquisition for phase-based mapping of T2 and B1 |
| Rita Schmidt1,2, Amir Seginer3, and Yael Kierson1,2 | ||
1Neurobiology, Weizmann Institute of Science, Rehovot, Israel, 2The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel, 3Siemens Healthcare Ltd, Rosh Ha’ayin, Israel |
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There is a bulk of studies exploring spin-echo and multi-echo methods generating T2 weighted imaging and T2 mapping. However, the challenges at 7T MRI include high SAR, long scans and RF inhomogeneity. Steady-state GRE also provide T2 maps based on the magnitude images. A recent study at 3T demonstrated phase-based 3D-GRE with specific RF phase increments producing T2 maps. We propose acquiring four scans from which we can estimate both the T2 and the B1 maps. We denote this method as Steady-state T2 And Rf Estimation (STARE). STARE offers a new capability to acquire fast 3D dataset for T2 mapping. |
| 0552
|
16:00
|
Motion-Resolved Brain MRI for Quantitative Multiparametric Mapping |
| Sen Ma1, Nan Wang1, Zhaoyang Fan1, Yibin Xie1, Debiao Li1, and Anthony G. Christodoulou1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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We introduce a motion-resolved solution to clinical brain MRI for quantitative multiparametric mapping using Multitasking. We demonstrate that the proposed approach is generalizable to translation, rotation, discrete motion, and periodic motion without explicit need for motion correction or compensation. Both simulation and in vivo results show that the proposed motion-resolved approach produces better image quality with sharp tissue structure and without ghosting/blurring artifacts, which outperforms no motion handling and simple motion removal. The motion-resolved approach yields substantially less RMSE in terms of quantitative mapping accuracy compared to no motion handling and simple motion removal. |
| 0553
|
16:00
|
Fast and repeatable multi-parametric mapping using 3D Echo-Planar Time-resolved Imaging (3D-EPTI) |
| Fuyixue Wang1,2, Zijing Dong1,3, Timothy G. Reese1, Lawrence L. Wald1,2, and Kawin Setsompop4,5 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 3Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 4Department of Radiology, Stanford University, Stanford, CA, United States, 5Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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3D-EPTI is a recent multi-parametric mapping technique capable of rapid T1,T2,and T2* quantification. In this work, we characterize the repeatability of two optimized 3D-EPTI whole-brain protocols at 1-mm and 0.7-mm isotropic resolutions (3- and 9-minutes), suitable for a range of clinical and neuroscientific applications. Scan-rescan across 5 subjects shows low intra- and inter-subject variabilities in the derived quantitative-metrics across 165 brain-regions using automatic FreeSurfer segmentation. High-repeatability of quantitative measures across cortical depths was demonstrated using the 0.7-mm protocol, indicating its potential for robust-and-repeatable cortical myeloarchitecture investigation. Lastly, synthetic 3D-EPTI images were demonstrated to be in high-agreement with clinical contrast-weighted images. |
| 0554
|
16:00
|
Rapid Parametric Mapping Using the Unsuppressed Water Signals in Metabolic Imaging of the Brain |
| Rong Guo1,2, Yibo Zhao1,2, Yudu Li1,2, Yao Li3, and Zhi-Pei Liang1,2 | ||
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Both quantitative MR parametric mapping and MRSI take long scan times. SPICE has recently demonstrated a unique capability for simultaneous metabolic imaging and water imaging. Taking advantage of the unsuppressed water signals acquired using SPICE, we extended the SPICE technique with a new feature for fast parametric mapping. With one-minute extra scan time, T1 and T2 maps at 1.0×1.0×2.0 mm3 resolution were successfully obtained. This new capability enables simultaneous high-resolution parametric mapping and metabolic imaging of the human brain in a total 8-minute scan. |
| 0555 | 16:00
|
Combined multiparametric high resolution diffusion-relaxometry on 7T (OKAPI) |
| Jana Hutter1, Raphael Tomi-Tricot2, Jan Sedlacik1, Philippa Bridgen1, Shaihan Malik1, and Joseph V Hajnal1 | ||
1Centre for Medical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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A multi-parametric quantitative MRI sequence called ZEBRA, which varies diffusion weighting, inversion time (TI) and gradient echo time (TE) by shuffling flexibly diffusion preparation, slice acquisition order, slice spacing and diffusion properties and by adding multiple gradient echo read-outs sharing one diffusion preparation is explored on a 7T scanner in high resolution. |
| 0556 | 16:00
|
Quantifying Brain Iron Deposition in patients with Parkinson’s Disease Using MRI-R2*: A new specific approach developed from a multicenter study |
| Laila khedher1, Jean Marie Bonny2, Ana Marques3, Marie Vidailhet4, Frédéric Torny5, Luc Defebvre6, Stéphane Thobois7, Elena Moro8, Philippe Remy9, Christian Geny10, Wassilios Meissner11, Solène Frismand12, Anne Doe de Maindreville13, Jean-Luc Houeto14, Olivier Rascol15, and Franck Durif1,3 | ||
1University Clermont Auvergne, Clermont Ferrand, France, 2INRA, UR370 Qualité des Produits Animaux, Saint Genès Champanelle, France, 3CHU Clermont Ferrand, Clermont Ferrand, France, 4Fédération des maladies du système nerveux GH La Pitié Salpêtrière, Paris, France, 5CHU Dupuytren, Service de Neurologie, Limoges, France, 6Hopital Roger Salengro, Service de Neurologie et Pathologie du Mouvement, Lille, France, 7Hopital Pierre Wertheimer, Neurologie C, Lyon, France, 8CHU de Grenoble, Service de Neurologie, Grenoble, France, 9Hopital Henri Mondor, Service de Neurologie, Creteil, France, 10CHRU Montpellier, Service de Neurologie, Montpellier, France, 11CHU Bordeaux, Service de Neurologie, Bordeaux, France, 12Hopital Central-CHU Nancy, Service de Neurologie, Nancy, France, 13Pole Neurologie-Gériatrie, Reims, France, 14CHU de Poitiers, Poitiers, France, 15Centre d’Investigation Clinique CIC 1436, CHU PURPAN-Place du Dr Baylac, Hopital Pierre Paul Riquet, Toulouse, France |
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Several postmortem studies have shown an accumulation of iron in the substantia nigra (SN) in Parkinson’s disease (PD). The iron concentration can be estimated by MRI via the MRI-R2* mapping. 1, 2 In order to assess the changes in R2* occurring in PD patients compared to healthy controls, a multicenter transversal prospective study was carried out in a large cohort of PD patients (n = 98) going from the early to the late stage of the disease and matched controls (n = 66). |
| 0557
|
16:00
|
Fast T1 mapping and weighting MRI in preclinical and clinical settings using subspace-constrained joint-domains reconstructions |
| Lingceng Ma1,2, Qingjia Bao1, Ricardo P. Martinho1, Zhong Chen2, and Lucio Frydman1 | ||
1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 2Department of Electronic Science, Xiamen University, Xiamen, China |
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Fast T1 mapping methods based on subspace-constrained reconstructions of jointly sparsed-sample domains, are proposed and shown to efficiently deliver maps with either multiple T1 contrasts or T1 values with ≈ 50-100× accelerations. Both single-shot and multi-shot implementations were developed, incorporating random-sampling inversion recovery (IR) as well as variable-TR multi-shot gradient echo (GRE) and spatiotemporally encoded (SPEN) sequences. In vivo human brain scans confirmed the efficiency of this method. Preclinical scans on kidneys and on tumor-implanted animals subject to dynamic contrast-enhanced T1 mapping, also demonstrate the proposed method's advantages for functional and pathological diagnoses. |
| 0558 | 16:00
|
Quantitative T1 mapping by multi-slice multi-shot inversion recovery EPI: correction of fat suppression MT effects. |
| Rosa Sanchez Panchuelo1, Olivier Mougin1, Robert Turner1,2, and Susan Francis1,3 | ||
1Sir Peter Mansfield Imaging Centre, UP, University of Nottingham, Nottingham, United Kingdom, 2Max Planck Institute for Human Cognitive and Brain Sciences, Leibzig, Germany, 3NIHR Nottingham Biomedical Research, University of Nottingham, Nottingham, United Kingdom |
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Multi-slice inversion–recovery EPI (MS-IR-EPI) combined with slice order shifting across multiple acquisitions can provide a fast method for high spatial resolution T1 mapping. However, magnetization transfer (MT) effects of spectrally-selective fat-suppression pulses used in in-vivo imaging shorten measured T1-values. Here we model the effect of fat-suppression pulses on measured T1 and use this model to remove the MT contribution, improving the accuracy of T1 quantification. MT-corrected high spatial resolution T1 maps of the human brain generated with MS-IR-EPI at 7T are compared with those generated with the widely implemented MP2RAGE sequence and standard single slice IR-EPI. |
| 0559 | 16:00
|
A portable brain MRI scanner based on a 72 mT, 35 kg "Halbach-bulb" magnet and external gradient coil |
| Clarissa Zimmerman Cooley1,2, Jason Stockmann1,2, and Lawrence L Wald1,2,3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Harvard–MIT Division of Health Sciences and Technology, Cambridge, MA, United States |
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There is clear motivation for increasing the accessibility of MRI, particularly for brain imaging. To address this, we present a portable tight-fitting MRI scanner with a geometry that is optimized for head. We use a 35kg “Halbach-bulb” permanent magnet design that combines a Halbach sphere and Halbach cylinder. The gradient coils are designed on the outer surface of the magnet, enabling a closer-fit B0 magnet. The inhomogeneous B0 magnet results image distortion, which we correct using a generalized reconstruction algorithm that employs measured field maps. We present the full scanner system and in vivo 3D images with resolution 1.5mmx2.7mmx7mm. |
| 0560 | 16:00
|
Simultaneous imaging of hard and soft biological tissues in a low-field MRI scanner |
| José Miguel Algarín1, Elena Díaz2, Pepe Borreguero1, Fernando Galve1, Daniel Grau2, Juan Pablo Rigla2, Rubén Bosch1, José Manuel González2, Eduardo Pallás1, Miguel Corberán1, Carlos Gramage1, Alfonso Ríos2, José María Benlloch1, and Joseba Alonso1 | ||
1I3M, CSIC, Valencia, Spain, 2Tesoro Imaging, Valencia, Spain |
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Here we present the first demonstration of dental imaging in a low cost MRI setup at sub-Tesla fields (260 mT). We show 3D reconstructions of a rabbit head and human teeth acquired in “DentMRI – Gen I” (Fig. 1(a)), a home-made special-purpose MRI scanner designed with the goal of demonstrating dental imaging at low field strengths. We use two variations of zero echo time (ZTE) pulse sequences (Fig. 1(b)): standard PETRA , and Double Radial Non Stop Spin Echo (DRaNSSE), which we have devised to address limitations we find with PETRA. We reconstruct images by Algebraic Reconstruction Techniques (ART). |
| 0561 | 16:00
|
Design and Construction of a Low-Cryogen, Lightweight, High-Performance, Head-only Compact 7T MRI |
| Thomas K.F. Foo1, Mark Vermilyea2, Minfeng Xu2, Anbo Wu2, Yihe Hua2, Wolfgang Stautner2, Ye Bai2, Justin Ricci2, Doug Kelley3, John III Huston4, Yunhong Shu4, Matt A Bernstein4, Christopher Hess5, and Duan Xu5 | ||
1GE Global Research, Niskayuna, NY, United States, 2GE Research, Niskayuna, NY, United States, 3GE Healthcare, Fairfax, CA, United States, 4Mayo Clinic, Rochester, MN, United States, 5University of California - San Francisco, San Francisco, CA, United States |
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A design for a lightweight, low-cryogen, head-only 7T MRI system was completed with its construction underway. This new 7T system is a dedicated brain scanner with 140 mT/m and 820 T/m/s gradients and weighs about 8 tons with 18 liters of liquid helium. The fringe field is similar to the 5 Gauss limits of a clinical whole-body 3T MRI scanner. |
| 0562 | 16:00
|
Design and Development of a Next-Generation 7T human brain scanner with high-performance gradient coil and dense RF arrays. |
| David A Feinberg1,2,3, Peter Dietz4, Chunlei Liu1,5, Kawin Setsompop6, Pratik Mukherjee7,8, Lawrence L Wald9,10,11, An T Vu7,8, Alexander JS Beckett1,2, Ignacio Gonzalez Insua4, Martin Schröder4, Stefan Stocker4, Paul H Bell12, Elmar Rummert4, and Mathias Davids9,10,13 | ||
1Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States, 6Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 7Radiology, University of California, San Francisco, CA, United States, 8San Francisco Veteran Affairs Health Care System, San Francisco, CA, United States, 9A.A. Martinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 10Harvard Medical School, Boston, MA, United States, 11Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States, 12Siemens Medical Solutions USA, Inc, Cary, NC, United States, 13Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany |
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A Next-Generation 7T MRI scanner was designed to achieve higher performance in human brain imaging for the NIH BRAIN Initiative. The new 7T scanner introduces several innovative hardware designs including a PNS optimized asymmetric head gradient coil (Siemens Healthcare, Erlangen, Germany) with Gmax 200mT/m and Smax 900T/m/s. The scanner also includes 128-channel RF receiver and 16-channel transmit systems for all-in-one cumulative gains in performance. The resulting higher spatial resolution, sensitivity and image acceleration will enable in-vivo whole-brain mesoscale research on cortical layer and columnar circuitry and other brain structures. |
| 0563 | 16:00
|
Towards 8ch multi transmit with high power ultrasonic spirals and 72ch receive setup for ultimate spatial encoding at 7T |
| Dimitri Welting1, Edwin Versteeg1, Ingmar Voogt2, Joost van Straalen3, Martijn Heintges3, Marco Rietveld3, Jeroen C.W. Siero1,4, and Dennis W.J. Klomp1 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Wavetronica, Utrecht, Netherlands, 3Prodive Technologies, Son, Netherlands, 4Spinoza Centre for Neuroimaging Amsterdam, Amsterdam, Netherlands |
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Here we propose a setup to boost spatiotemporal encoding for fMRI in the human brain using high dense receiver arrays (72ch) and fast gradients (6000T/m/s). Moreover, we demonstrate that the operation frequency of a high-end gradient amplifier can be increased to ultrasonic frequencies so to avoid unpleasant acoustic noise. By using this amplifier with 8 transceivers, 64 receivers and a 2-axis cooled gradient coil, a light weight setup is constructed for operation in a 7 Tesla MRI system for fMRI experiments in the human brain. |
| 0564
|
16:00
|
In vivo Two-photon Magnetic Resonance Imaging of Human Brain at 3T |
| Jianshu Chi1, 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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We are exploring in vivo brain imaging with two-photon excitation on a 3T scanner. To do that, we built a customized coil that is large enough to fit a standard birdcage transceiver coil inside of it. The resulting two-photon gradient-echo brain images excited using a 25.5 kHz z-axis RF were overall similar to standard single-photon images with equivalent parameters. Interestingly, we observed some slight differences in tissue contrast whose cause are being investigated. |
| 0565 | 16:00
|
PNS optimization of a high-performance asymmetric gradient coil for head imaging |
| Mathias Davids1,2,3, Peter Dietz4, Gudrun Ruyters4, Manuela Roesler4, Valerie Klein1,3, Bastien Guerin1,2, David A Feinberg5,6, and Lawrence L Wald1,2,7 | ||
1Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Siemens Healthineers, Erlangen, Germany, 5Advanced MRI Technologies, Sebastopol, CA, United States, 6Brain Imaging Center and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 7Harvard-MIT, Division of Health Sciences and Technology, Cambridge, MA, United States |
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PNS modeling was utilized during the design stage of a high-strength (Gmax = 200mT/m, Smax = 900 T/m/s) head gradient for 7T fMRI research. The design-stage preview of PNS thresholds and locations allowed alteration of the winding pattern to balance head and body stimulation. This process yielded significantly improved PNS thresholds and increased usability of the coil performance space. The results were validated using PNS experiments in a constructed coil. |
| 0566 | 16:00
|
Wireless Body Sensor Data Acquisition Platform for Motion Tracking |
| Leanna Pancoast1,2, Douglas Brantner1,2, Roy Wiggins1,2, Jerzy Walczyk1,2, and Ryan Brown1,2 | ||
1Center for Biomedical Imaging, NYU Grossman School of Medicine, New York City, NY, United States, 2Center for Advanced Imaging Innovation and Research, NYU Grossman School of Medicine, New York City, NY, United States |
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The temporal resolution in MRI can be too slow to track respiratory or bulk subject motion. Auxiliary sensors have been developed to track motion with high temporal resolution, but can require cumbersome cabling. In this work, we describe an MRI-compatible wireless accelerometer data acquisition platform and demonstrate proof-of-concept by correlating respiratory motion data with independent, ground-truth optical measurements. |
| 0567
|
16:00
|
Head Motion Tracking using an EEG-system and Retrospective Correction of High-Resolution T1-weighted MRI |
| Malte Laustsen1,2,3, Mads Andersen4, Rong Xue3,5,6, Kristoffer H. Madsen2,7, and Lars G. Hanson1,2 | ||
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 Hvidovre, Hvidovre, Denmark, 3Sino-Danish Center, University of Chinese Academy of Sciences, Beijing, China, 4Philips Healthcare, Copenhagen, Denmark, 5State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 6Beijing Institute for Brain Disorders, Beijing, China, 7DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark |
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Tracking and retrospective correction of high-resolution structural 3D-GRE images is accomplished with a slightly modified EEG cap and sampling system. Carbon wire loops added to the EEG cap allow for motion tracking using gradient-induced signals from native sequence elements, without the need for sequence modification, or electrode-skin contact, while requiring only a short calibration scan, and mounting of the cap. The motion estimates closely resemble estimates from interleaved navigators (mean absolute difference: [0.13,0.33,0.12]mm, [0.28,0.15,0.22]deg). Retrospective correction using carbon wire loops yield similar improvements to Average Edge Strength (12%) for images with instructed movement, and does not degrade images without motion. |
| 0568
|
16:00
|
Beat Pilot Tone: Exploiting Preamplifier Intermodulation of UHF/SHF RF for Improved Motion Sensitivity over Pilot Tone Navigators |
| Suma Anand1 and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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Pilot Tone (PT) navigators are tones within the MR receiver bandwidth that are used to estimate subject motion. Unfortunately, PTs are bound to the Larmor frequency with a wavelength of 1-4.7m (7T to 1.5T), limiting their sensitivity to motion. We propose a new approach, Beat Pilot Tone (BPT), which overcomes this limitation using second order intermodulation in MR coil preamplifiers (preamps). Any two tones separated by the desired PT frequency are mixed at the preamp and digitized by the receiver. We demonstrate our approach at 2.4GHz, obtaining improved sensitivity (20x) compared to PT without reduction of image SNR. |
| 0569
|
16:00
|
Whole-brain vascular connectome: a new approach to investigate the functional brain networks using large-scale angioarchitecture |
| Michael Bernier1,2, Jingyuan E Chen1,2, Olivia Viessmann1,2, Nina E Fultz1,3, Maxime Chamberland4, Rebecca K Leaf5, Lawrence L Wald1,2,6, and Jonathan R Polimeni1,2,6 | ||
1Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Engineering, University of Boston, Boston, MA, United States, 4Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff, United Kingdom, 5Division of Hematology, Massachusetts General Hospital, Boston, MA, United States, 6Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, MA, United States |
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Blood vessels influence nearby fMRI signals, and patterns of vascular anatomy partly shape the patterns of the BOLD response. To better understand the relationship between large-scale brain networks and vascular anatomy, here we developed an approach for estimating the topology of the vascular network and quantifying how vessel pathways connect between brain regions. We used a blood-pool contrast agent to enhance the vessels, and developed a new method for vessel tracking similar to what is conventionally used to estimate structural connectivity in diffusion MRI. We demonstrate an application this framework by estimating vascular connectivity matrices for the human brain. |
| 0570
|
16:00
|
Functional connectome of autonomic, limbic, nociceptive, and sensory brainstem nuclei using 7 Tesla resting-state fMRI in living humans |
| Simone Cauzzo1,2, Kavita Singh2, Matthew Stauder2, Maria Guadalupe Garcia Gomar2, Nicola Vanello3, Claudio Passino1,4, Jeffrey Staab5,6, Iole Indovina7,8, and Marta Bianciardi2 | ||
1Life Sciences Institute, Sant'Anna School of Advanced Studies, Pisa, Italy, 2Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 3Dipartimento di Ingegneria dell’Informazione, University of Pisa, Pisa, Italy, 4Fondazione Toscana Gabriele Monasterio, Pisa, Italy, 5Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States, 6Department of Otorhinolaryngology – Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States, 7Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy, 8Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, Roma, Italy |
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With the goal of bridging the gap between cortical and subcortical (e.g. brainstem) functional connectomes and of defining a baseline for clinical studies, we computed the resting-state functional connectivity maps of 15 brainstem nuclei involved in central autonomic, limbic, nociceptive and sensory functions. We used images acquired with 7 Tesla MRI on a group of 20 healthy subjects and a recently generated probabilistic atlas of brainstem nuclei. We obtained highly significant and stable links with a good overlap with the literature. Our results also provide favorable results on the translatability of our brainstem connectome approach to conventional 3 Tesla data-sets. |
| 0571
|
16:00
|
Salience network modulation leads a sequence of brain activity that causes resting-state fMRI correlations with EEG and physiological signals |
| Yameng Gu1, Feng Han1, Lucas Eugene Sainburg1, and Xiao Liu1 | ||
1Pennsylvania State Universitya, University Park, PA, United States |
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Correlations of resting-state fMRI (rsfMRI) with various neural and physiological signals have been observed and interpreted as distinct sources of contributions. Here, we found these rsfMRI-EEG and rsfMRI-physio correlations are similarly characterized by distinct network patterns at different time lags. A similar sequence of fMRI changes led by the salience network modulation is found in resting-state fMRI signals, and removing this sequence significantly diminished the rsfMRI-EEG and rsfMRI-physiology correlations. The results suggest that the rsfMRI correlations with the EEG alpha power and physiological signals originate from a sequence of brain dynamics led by salience network changes. |
| 0572
|
16:00
|
Resting-state fMRI Predicts Task Activation Patterns Using a Graph Convolutional Network |
| Zhangxuan Hu1,2, Hua Guo2, Lihong Wang3, Bing Wu1, and Xue Zhang4 | ||
1GE Healthcare, MR Research China, Beijing, China, 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 3Department of Psychiatry, University of Connecticut School of Medicine, Farmington, MI, United States, 4Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States |
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Resting-state fMRI has the clinical potential as diagnostic and prognostic markers because of its easy implementation/standardization in data acquisitions, and its ability to parcellate functionally connected neural networks. It is of importance to examine whether the task-free spontaneous activity could be used to predict individuals’ task-induced activation. Here we proposed a graph convolutional network-based framework which utilized the information of the brain connections for the convolution step, and showed the ability of using resting-state fMRI to predict individual differences in activations of tasks from human connectome project. This framework could be extended to other resting-state fMRI researches. |
| 0573
|
16:00
|
Evolutionary gap of the default mode network organization between non-hominid primates and humans |
| Clément M. Garin1, Yuki Hori2, Stefan Everling 2,3, Christopher T. Whitlow 4, Finnegan J. Calabro 5, Beatriz Luna5, Marc Dhenain 6,7, and Christos Constantinidis 1,8 | ||
1Neurobiology and Anatomy, Wake Forest University, Winston Salem, NC, United States, 2Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada, 3Department of Physiology and Pharmacology, The University of Western Ontario, London, ON, Canada, 4Department of Radiology, Section of Neuroradiology, Wake Forest University, Winston Salem, NC, United States, 5Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 6Neurodegenerative Diseases Laboratory, Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud, Université Paris-Saclay UMR 9199, Fontenay-aux-Roses, France, 7Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Direction de la Recherche Fondamentale (DRF), Institut François Jacob, MIRCen, Fontenay-aux-Roses, France, 8Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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We performed cross-species comparison to determine how the human default mode network (DMN) connectivity pattern compares to non-hominid primates. We characterized and compared the resting-state network functional organisation in humans, macaques, marmosets, and mouse lemurs using functional and anatomical atlases. We found decreased engagement of mPFC (medial prefrontal cortex) in all non-hominid primates “DMN-like” compared to humans. Another network involving mPFC was identified in all non-hominid primates but not in humans. Altogether, our results show that high order networks often assumed to be shared across primates diverge considerably between non-hominid species and humans. |
| 0574
|
16:00
|
Evolutionarily conserved fMRI network dynamics in the human, macaque and mouse brain |
| Daniel Gutierrez-Barragan1, Stefano Panzeri2, Ting Xu3, and Alessandro Gozzi1 | ||
1Functional Neuroimaging Laboratory,, Istituto Italiano di Tecnologia, CNCS, Rovereto, Italy, 2Neural Computation Laboratory, Istituto Italiano di Tecnologia, CNCS, Rovereto, Italy, 3Center for the Developing Brain, Child Mind Institute, New York, NY, United States |
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Recent work revealed that resting-state fMRI (rsfMRI) network dynamics in the mouse brain governed by infraslow transitions between a limited set of recurring BOLD co-activation patterns. Here we extend these findings to the macaque and awake human brain, showing that in both these higher mammalian species rsfMRI timeseries can be similarly deconstructed into a set of oscillatory coactivation patterns, whose occurrence is phase-locked to intrinsic global fMRI Signal (GS) fluctuations. Our results reveal a fundamental, evolutionarily conserved spatiotemporal structure of resting-state fMRI activity. |
| 0575
|
16:00
|
Power and Frequency Fluctuations of Gastric Electrical Activity Modulate fMRI Activity in Rat Brains |
| Jiayue (Cherry) Cao1, Xiaokai Wang1, Yizhen Zhang2, and Zhongming Liu1,2 | ||
1Biomedical Engineering, University of Michigan, ANN ARBOR, MI, United States, 2Electrical Engineering and Computer Science, University of Michigan, ANN ARBOR, MI, United States |
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The stomach-brain interaction is critical for regulating gastric function. Prior studies suggest that the brain maintains a slow rhythm coupled to the gastric slow wave – a rhythmic activity that paces the stomach. Here, we find a brain network encodes the frequency and power fluctuations of gastric rhythms in the resting state. Rhythmic activity of the stomach primarily engages the NTS-insula-somatosensory network. Dysrhythmic activities, such as bradygastria and tachygastria engage additional regions in the anterior cingulate cortex, prelimbic cortex, and infralimbic cortex. The alternation of dysrhythmic and pace-making activity in the stomach causes activity fluctuations across a central gastric network. |
| 0576 | 16:00
|
Identifying functional correlations between lateral hypothalamus and cingulate cortex underlying brain state-dependent pupil dynamics |
| Kengo Takahashi1,2, Filip Sobczak1,2, Patricia Pais-Roldán3, and Xin Yu1,4 | ||
1High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Graduate Training Centre of Neuroscience, Tübingen, Germany, 3Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich, Jülich, Germany, 4Athinoula A. Martinos Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States |
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The lateral hypothalamus (LH) is known to mediate different vigilance states and modulate pupil dilation through various neural populations. However, measuring subcortical neuronal activity non-invasively while assessing the brain state has remained challenging. Recently, it has been shown that the coupling between fMRI brain signals and pupil size fluctuations depends on the underlying brain state. In this work, we suggest that the synchronization of LH fMRI signals with pupil fluctuations may indicate modulation of the vigilance level of the brain. |
| 0577 | 16:00
|
Resonant oscillatory modes in rat cortical activity revealed by ultra-fast fMRI |
| Joana Cabral1,2, Francisca F. Fernandes1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2Life and Health Sciences Research Institute, University of Minho, Braga, Portugal |
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We provide evidence of the oscillatory nature of spontaneous BOLD signal fluctuations by performing a spectral analysis of fMRI signals recorded at unprecedented time resolution (TR = 38 ms) from a frontal brain slice of sedated and anesthetized rats. Oscillations peaking between 0.03 Hz and 0.25 Hz are detected in the cortex under sedation, drastically decreasing in power with deep anaesthesia. Notably, the power of BOLD signal oscillations is modulated in space and time, synchronizing in phase across distant bilateral brain areas, providing insights into the mechanisms underlying resting-state functional connectivity. |
| 0578
|
16:00
|
Inhibitory Thalamic Reticular Nucleus Drives Frequency Specific Brain-wide Responses |
| Xunda Wang1,2, Alex T. L. Leong1,2, Eddie C. Wong1,2, Teng Ma1,2,3, Pit Shan Chong4, Chi Him Poon4, Pek-Lan Khong3, Lee-Wei Lim4, and Ed X. Wu1,2 | ||
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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Thalamic inhibition from thalamic reticular nucleus has been shown to provide critical gating upon thalamo-cortical interactions and exert selective modulation on information processing according to behavioral demands. However, where and how thalamic reticular nucleus exerts control of brain-wide neural activities over different spatial and temporal scales remained unclear. In this study, we demonstrate for the first time the frequency specific brain-wide responses driven by inhibitory somatosensory thalamic reticular nucleus using optogenetic fMRI. Such frequency specific engagements of brain-wide neural activities could underlie selective modulation of local circuits versus global networks in different brain functions. |
| 0579 | 16:00
|
Diffusion MRI Fiber Diameter for Muscle Denervation Assessment |
| Ek T Tan1, Kelly C Zochowski1, Kenneth Serrano1, and Darryl B Sneag1 | ||
1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States |
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Diffusion imaging may provide intracellular muscle denervation characterization complimentary to T2- and fat fraction (FF) mapping. Non-invasive muscle diameter assessment was performed using multi-shell diffusion MRI with a cylindrical model. The apparent fiber diameter (AFD) was obtained using a dictionary method mapping restricted and free fractions to AFD. 16 subjects with suspected muscle denervation involving the brachial plexus and 4 healthy control subjects were imaged. The denervated AFD was smaller than non-denervated and healthy controls by 11 µm and 23 µm respectively. AFD in healthy controls were 67-101 µm, which compare well against histology values from the literature (50-90 µm). |
| 0580 | 16:00
|
On the reconstruction of MR-fingerprinting with water and fat separation for quantitative skeletal muscle imaging |
| Benjamin Marty1,2, Fabian Balsiger3, Pierre-Yves Baudin1,2, Lopez Alfredo1,2, Ericky CA Araujo1,2, and Harmen Reyngoudt1,2 | ||
1Neuromuscular Investigation Center, NMR Laboratory, Institute of Myology, Paris, France, 2NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France, 3Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland |
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Our objective was to determine the influence of the reconstruction parameters on fat fraction and water T1 estimated in the skeletal muscle using MR fingerprinting with water and fat separation, to propose an optimized reconstruction procedure maximizing the accuracy and precision of the MRI variables, and evaluate it on in vivo data. We show that aliasing artefacts generate a bias in the estimates that could be mitigated by introducing a simple correction factor. Then, the accuracy and precision were improved by reconstructing the frames using a single radial spoke, and by using 10 SVD components for dictionary matching. |
| 0581
|
16:00
|
4D Phase Contrast MRI detects heterogeneous strain rate patterns along the length of the Tibialis Anterior muscle during dynamic contractions |
| Thom T. J. Veeger1, Gustav J. Strijkers2, Valentina Mazzoli3, Hans C. van Assen1, Jurriaan H. de Groot4, Lukas M. Gottwald5, Aart J. Nederveen5, Hermien E. Kan1,6, and Melissa T. Hooijmans2 | ||
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Biomedical Engineering & Physics, Amsterdam Movement Sciences, Amsterdam University Medical Center, Location AMC, Amsterdam, Netherlands, 3Radiology, Stanford University, Stanford, CA, United States, 4Rehabilitation Medicine, Leiden University Medical Center, Leiden, Netherlands, 5Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam University Medical Center, Location AMC, Amsterdam, Netherlands, 6Duchenne Center Netherlands, Veenendaal, Netherlands |
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We assessed strain rate distributions within the Tibialis Anterior muscle by acquiring whole lower leg 4D PC-MRI during dynamic exercise, with and without load. Our data revealed a spatially heterogeneous strain rate pattern along the length of the Tibialis Anterior muscle during movement cycle. During dorsiflexion, the smallest negative strain rates were observed (in first approximation) along the fiber in the most proximal segment and the largest positive strain rates (in first approximation) across the fiber in the most distal segment, while plantarflexion showed the expected opposite. No effect of load was detected on strain rates. |
| 0582 | 16:00
|
Characterization of cross-relaxation in human skeletal muscle using downfield 1H MRS at 7T |
| Sophia Swago1, Abigail Cember2, Brianna Moon1, Puneet Bagga3, Neil Wilson4, Mark A. Elliott2, Hari Hariharan2, Ravinder Reddy2, and Walter Witschey2 | ||
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3St. Jude Children's Research Hospital, Memphis, TN, United States, 4Siemens Medical Solutions USA Inc, Malven, PA, United States |
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Water suppression limits the detection of non-labile proton downfield resonances in 1H magnetic resonance spectroscopy (MRS) due to cross-relaxation with water, and the cross-relaxation properties of these resonances has yet to be quantified in human skeletal muscle. We use spectrally-selective excitation in an inversion recovery experiment to compare the apparent T1 relaxation time of downfield resonances in skeletal muscle under selective and nonselective inversion conditions at 7T. Nonselective inversion significantly prolongs the longitudinal relaxation rate of resonances found 8.0, 8.2, and 8.5 ppm. This change is larger for the resonances at 8.2 and 8.5 ppm, indicating a stronger cross-relaxation effect. |
| 0583 | 16:00
|
Decreased muscular perfusion in dermatomyositis: initial results detected by Inflow-based vascular-space-occupancy MR imaging |
| Yuankui Wu1, Xiaomin Liu1, Jun Hua2,3, Xiaodan Li1, Haimei Cao1, Yingjie Mei4, and Yikai Xu1 | ||
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Philips healthcare, Guangzhou, China |
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Dermatomyositis (DM) is a chronic autoimmune microangiopathy. Accurate quantification of muscular microcirculation can assist in early diagnosis and improve clinical outcomes. Inflow-based vascular-space-occupancy (iVASO) is a novel perfusion technique without the need for exogenous contrast agents. This study aimed to determine the potential diagnostic value of iVASO-MRI for patients with DM. The results showed decreased arteriolar muscular blood volume (MBVa) in DM patients, which worsens with the progression of disease, and the diminished MBVa in morphologically-normal appearing muscles. This suggests that iVASO-derived MBVa has the potential to be used as a biomarker for early diagnosis of DM. |
| 0584 | 16:00
|
Spontaneous Muscular Activities and Estimating their Influence on Derived Diffusion Tensor Parameters |
| Martin Schwartz1,2, Petros Martirosian1, Günter Steidle1, Bin Yang2, and Fritz Schick1 | ||
1Section on Experimental Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany |
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Estimation of diffusion tensor parameters in healthy subjects and patients suffering from neuromuscular disease can be markedly affected by a high rate of spontaneous muscular activities during the MR examination. Therefore, a concept for realistic simulation of spontaneous muscular activities in diffusion tensor imaging and the estimation of their influence on derived parameters is given in this work. The degradation of the derived parameters depends strongly on the robustness of the chosen approach for tensor estimation. |
| 0585
|
16:00
|
Quantitative muscle MRI in monitoring disease progression and nusinersen treatment effects in spinal muscular atrophy |
| Louise Otto1, Martijn Froeling2, Ruben van Eijk1,3, Renske Wadman1, Inge Cuppen4, Danny van der Woude5, Bart Bartels5, Fay-Lynn Asselman1, Jeroen Hendrikse2, and Ludo van der Pol1 | ||
1Department of Neurology, UMC Utrecht Brain Center, University Medical Center, Utrecht, Utrecht, Netherlands, 2Department of Radiology, University Medical Center Utrecht, the Netherlands, Utrecht, Netherlands, 3Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands, 4Department of Neurology and Child Neurology, UMC Utrecht Brain Center, University Medical Center, Utrecht, Utrecht, Netherlands, 5Department of Child Development and Exercise Center, University Medical Center Utrecht, the Netherlands, Utrecht, Netherlands |
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Quantitative MRI of muscles allows to measure disease progression or to assess therapeutic effects in neuromuscular diseases. We executed two studies on patients with spinal muscular atrophy, treated and untreated, with a protocol consisting of DIXON, T2 mapping and DTI on a 3T MR scanner. In treatment-naïve adult patients we demonstrated that qMRI was able to measure subclinical disease progression. In young children with SMA, quantitative MR parameters of the DIXON and DTI sequence showed ongoing fatty infiltration and normalization of thigh muscle microstructure during the first year of nusinersen treatment. |
| 0586 | 16:00
|
Multimodal MR Assessment of Skeletal Muscle in Patients with Chronic Kidney Disease and Dialysis |
| Can Wu1,2, Qi Peng3, William Paredes4, Moriel Vandsburger5, and Matthew K. Abramowitz4 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Philips Healthcare, Andover, MA, United States, 3Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 4Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 5Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States |
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Chronic kidney disease (CKD) is associated with reduced skeletal muscle mass, strength, and function, but a quantitative approach to systematically assess changes in skeletal muscle is lacking. The purpose of this study was to develop a multimodal MR method for quantitative assessment of skeletal muscle in patients with CKD compared to normal controls. The study revealed significant changes of T1ρ, intra- and extra-myocellular lipid ratio, ADC, and FA in CKD or dialysis patients. In addition, there was significant correlation between T1ρ and DTI biomarkers. These findings may provide new insights into the impaired skeletal muscle function in CKD patients. |
| 0587
|
16:00
|
The muscle twitch profile assessed with Motor Unit Magnetic Resonance Imaging (MUMRI) |
| Linda Heskamp1, Matthew Birkbeck1,2,3, Roger Whittaker1, Ian Schofield1, and Andrew Blamire1 | ||
1Newcastle University Translational and Clinical Research Institute (NUTCRI), Newcastle University, Newcastle upon Tyne, United Kingdom, 2Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, United Kingdom, 3Northern Medical Physics and Clinical Engineering, Freeman Hospital, Newcastle upon Tyne NHS Foundation Trust, Newcastle upon Tyne, United Kingdom |
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Motor units (MUs) play a fundamental role in muscle physiology and disease. Contraction of muscle fibres belonging to a MU induces signal voids on diffusion weighted (DW) images enabling us to image these MUs (MUMRI). We demonstrated that MUMRI can also extract the twitch profile of single MUs. Computational modelling showed that the attenuation of net magnetisation and the cumulative phase changes increase with twitch magnitude. Therefore, we can measure the MU time profile by altering the timing of electrical nerve stimulation relative to the diffusion-encoding gradients. We applied this experimentally and measured in-vivo contraction times of human MUs. |
| 0588
|
16:00
|
Quantitative muscle-MRI correlates with histopathology in skeletal muscle biopsies – a pilot study |
| Lara Schlaffke1, Robert Rehmann1, Anja Schreiner1, Marlena Rohm1, Johannes Forsting1, Martijn Froeling2, Martin Tegenthoff1, Matthias Vorgerd1, and Anne-Katrin Güttsches1 | ||
1Neurology, University Clinic Bergmannsheil Bochum gGmbH, Bochum, Germany, 2Radiology, UMC Utrecht, Utrecht, Netherlands |
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Skeletal muscle biopsy is the gold-standard in the diagnosis of inflammatory and hereditary muscle disorders. Ten patients who underwent muscle biopsy for diagnostic purposes were examined by qMRI (Fat-fraction, water T2-time and diffusion). The fat fraction, the severity of degenerative and inflammatory parameters and the amount of type 1/2-fibers were determined in all samples. The amount of fat tissue correlated significantly between histopathology and qMRI. EPG Water T2-time correlated with the in the histopathologic analysis. The study provides the basis for qMRI methods in the follow up of patients with neuromuscular disorders, especially in the context of emerging treatment strategies. |
| 0589
|
16:00
|
Regional Changes in Ventilation Following Bronchodilation in COPD Are Not Associated With Improved Gas Exchange on Xenon-129 MRI |
| David Mummy1, Erika Coleman2, Ziyi Wang3, Elianna Bier3, Junlan Lu4, Bastiaan Driehuys1,3,4, and Yuh-Chin Huang2 | ||
1Radiology, Duke University, Durham, NC, United States, 2Medicine, Duke University, Durham, NC, United States, 3Biomedical Engineering, Duke University, Durham, NC, United States, 4Medical Physics, Duke University, Durham, NC, United States |
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Hyperpolarized 129Xe MRI images acquired pre/post-bronchodilator treatment in COPD (N=17) provide a new means of evaluating gas evaluating gas exchange in regions of new, existing, and lost ventilation. Here we demonstrate via longitudinal image registration that, despite improvements in FEV1 and regional ventilation following treatment, no changes in region-based measures of 129Xe barrier or RBC signal were observed. This suggests the presence of persistent vascular abnormalities in COPD that are not addressed by bronchodilation. |
| 0590 | 16:00
|
19F-MRI of inhaled perfluoropropane in patients with asthma and patients with COPD pre- and post-bronchodilator therapy |
| Mary A. Neal1, Benjamin J. Pippard1,2, Ian Forrest3, Rod A. Lawson4, Holly F. Fisher5, John N. S. Matthews5, Kieren G. Hollingsworth1,2, A. John Simpson1, Jim M. Wild6, and Peter E. Thelwall1,2 | ||
1Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom, 2Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom, 3Respiratory Medicine, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom, 4Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 5Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom, 6POLARIS, Department of IICD, University of Sheffield, Sheffield, United Kingdom |
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19F-MRI of inhaled perfluoropropane can be used for assessment of pulmonary ventilation. Static breath hold 19F-MR images were acquired pre- and post-bronchodilator following inhalation of a perfluoropropane/oxygen gas mixture in patients with asthma and patients with chronic obstructive pulmonary disease (COPD). Percentage ventilated lung volume (%VV) was calculated from each of the 19F-MR images. %VV was significantly reduced in both patient groups, and between pre- and post-bronchodilator acquisitions in the asthmatic patient group. A strong positive correlation between %VV and spirometric indices was revealed. Gas inhalations were well tolerated by all participants, with no adverse events. |
| 0591 | 16:00
|
Response of Hyperpolarized 129Xe MRI measures of ventilation and gas-exchange to anti-fibrotic treatment in Idiopathic Pulmonary Fibrosis |
| Andrew D Hahn1, Katie J Carey1,2, Nathan D Sandbo3, Jeff Kammermann1, Robert V Cadman3, David G Mummy4, Mark L Schiebler1,2, Amy Malik3, and Sean B Fain1,2,5 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Medicine, University of Wisconsin - Madison, Madison, WI, United States, 4Radiology, Duke University, Durham, NC, United States, 5Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Predicting outcomes and monitoring longitudinal treatment response in IPF is unreliable using currently available clinical biomarkers. We investigate associations between hyperpolarized 129Xe MRI biomarkers of ventilation and gas exchange and treatment with anti-fibrotic medication in IPF patients over a 1-year period. Anti-fibrotic treatment was associated with improved ventilation and gas exchange, relative to no anti-fibrotic treatment, after 1 year. Within-patient improvements in gas exchange were significantly larger in patients treated with anti-fibrotic medications. No longitudinal associations were found between anti-fibrotic treatment and spirometry, suggesting the imaging biomarkers may be more useful for monitoring anti-fibrotic treatment response in IPF. |
| 0592
|
16:00
|
Monitoring Patients with Endobronchial Valve Interventions Using a Multifaceted Hyperpolarized Xenon Lung Function Assessment |
| Hooman Hamedani1, Stephen Kadlecek1, Faraz Amzajerdian1, Ryan Baron1, Kai Ruppert1, Ian Duncan1, Luis Loza1, Tahmina Achekzai1, Maurizio Cereda1, and Rahim R. Rizi2 | ||
1University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Here, we present an approach for comprehensively assessing the lung’s response to an intervention. Using our multi-breath approach during tidal breathing, we evaluated whether after a Treatment with Zephyr Endobronchial Valves, ventilation is successfully redistributed to the healthier lung, and whether this shift in ventilation can effectively improve gas exchange in non-targeted lobes. We showed gas exchange was more than doubled in the upper left lobe, exceeding the modest ventilation increase observed after occlusion of the LL lobe, likely indicating dramatically improved Q. Notably, right lung function was also improved, perhaps due to normalized breathing mechanics. |
| 0593
|
16:00
|
Registration on different lung volumes and its influence on ventilation and perfusion parameters derived by phase-resolved functional lung MRI |
| Filip Klimeš1,2, Andreas Voskrebenzev1,2, Lea Behrendt1,2, Marcel Gutberlet1,2, Gesa Helen Pöhler1,2, Till Frederik Kaireit1,2, Cristian Crisosto1,2, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Centre for Lung Research (DZL), Hannover, Germany |
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Correction of lung motion is a mandatory step for the voxel-wise signal analysis of Fourier Decomposion (FD) based methods, such as phase-resolved functional lung (PREFUL) MRI. Usually, all images are registered towards one fixed image in intermediate lung position. In this work, a group oriented registration approach with three different target images (expiration, middle, inspiration) was tested and the influence on functional parameters derived by PREFUL was evaluated in 41 study participants. While small significant differences were observed, high absolute agreement of all functional ventilation and perfusion parameters was found indenpedent on the chosen target volume. |
| 0594 | 16:00
|
M0 and T1 mapping for differentiation of perfusion defects in patients with CTEPH and CTED. |
| Laura Saunders1, Paul J. C. Hughes1, Dave Capener1, David G Kiely1,2, Jim M Wild1, and Andy J Swift1 | ||
1Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Sheffield Pulmonary Vascular Disease Unit, Sheffield, United Kingdom |
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Identifying the cause of lung perfusion defects is vital for chronic thromboembolic pulmonary hypertension (CTEPH) or chronic thromboembolic disease (CTED) diagnosis. 30 patients with suspected CTEPH underwent Look-Locker M0 and T1 mapping, 16/30 were diagnosed with CTEPH or CTED. Co-registered peak perfusion maps were used to identify perfusion defects. T1 was significantly lower in perfusion defects in all patients. Patients with CTEPH or CTED had significantly lower M0 in non-perfused lung, whereas control patients did not have significantly differences between perfused and non-perfused lung. Lung M0 maps may allow differentiation of perfusion defects in patients with CTEPH/CTED from other patients. |
| 0595 | 16:00
|
One-year follow-up of functional lung MRI in children with cystic fibrosis |
| Corin Willers1, Lukas Maager1, Bettina S. Frauchiger1, Kathryn Ramsey1, Grzegorz Bauman2,3, Orso Pusterla2,3, Oliver Bieri2,3, and Philipp Latzin1 | ||
1Division of Pediatric Respiratory Medicine, Department of Pediatrics,, Inselspital, Bern University Hospital, University of Bern, Switzerland, Bern, Switzerland, 2Division of Radiological Physics, Department of Radiology, University of Basel Hospital Basel, Basel, Switzerland, Basel, Switzerland, 3Department of Biomedical Engineering, University of Basel, Basel, Switzerland, Basel, Switzerland |
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Matrix Pencil MRI in cystic fibrosis is a sensitive and promising technique to monitor progression of lung disease, and is especially well-suited for children. In this work, we investigate the agreement between changes in functional lung MRI and in lung function tests during a 1-year follow-up period. We demonstrate the benefit of imaging to interpret changes in lung function correctly. |
| 0596 | 16:00
|
Optimized 3D spiral ultra-short echo time free-breathing pulmonary imaging on a high-performance low-field 0.55T scanner |
| Ahsan Javed1, Rajiv Ramasawmy1, Joel Moss2, Waqas Majeed3, Pan Su3, Thomas Benkert4, Himanshu Bhat3, and Adrienne E Campbell-Washburn5 | ||
1Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Pulmonary Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 3Siemens Medical Solutions USA Inc., Malvern, PA, United States, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MD, United States |
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Low signal in the lung parenchyma, and reduced signal-to-noise at 0.55T makes high resolution lung imaging challenging. SNR can be improved by using longer spiral readouts. However, these readouts are susceptible to artifacts from trajectory errors, and blurring from concomitant fields which are amplified at lower field strengths. Here we present an optimized self-gated, ultra-short echo time, stack-of-spirals acquisition which leverages inline corrections for trajectory imperfections, measurement drift, and concomitant fields to enable robust high resolution lung imaging on low field scanners. We also demonstrate the improvement in image quality in patients with lung nodules and Lymphangioleiomyomatosis (LAM). |
| 0597 | 16:00
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Intensity Based Visualization of Pulmonary Function Using Time to Peak and Full Width at Half Max Biomarkers on Ultrashort Echo Time (UTE) MRI |
| Darren Hsu1, Fei Tan2, Michael Lustig3, and Peder E. Z. Larson4 | ||
1Department of Computer Science, University of California, Berkeley, Berkeley, CA, United States, 2Department of Bioengineering, University of California, Berkeley - University of California, San Francisco, San Francisco, CA, United States, 3Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 4Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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The visualization of respiratory inhalation-exhalation cycles are applied to pulmonary MR images. Using 3D UTE phase resolved MR Images, respiratory phases were reconstructed from free breathing images. Applying signal intensity based methods, biomarker metrics such as time to signal intensity peak (TTP) or full width at half maximum (FWHM) intensity are extracted from the image. The resulting visualizations depict localized respiratory function to help clinicians understand the rate and velocity at which lung tissue expands from full inspiration to full expiration. |
| 0598 | 16:00
|
CEST Imaging vs. Diffusion-Weighted Imaging vs. FDG-PET/CT vs. Combined Method: Prediction Capability for Recurrence in NSCLC Patients |
| Yoshiharu Ohno1,2,3, Masao Yui4, Takeshi Yoshikawa3,5, Yoshimori Kassai4, Kaori Yamamoto4, Kazuhiro Murayama2, 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, 3Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 4Canon Medical Systems Corporation, Otawara, Japan, 5Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan |
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No major reports have been reported the comparison of capability for differentiating recurrence from non-recurrence groups in candidates for surgical resection due to lung cancer among CEST imaging, DWI and PET/CT. We hypothesized that CEST imaging, which was determined as APT-weighted (APTw) imaging at 3.5 ppm, had equal or better potential for prediction of postoperative recurrence prediction in postoperative lung cancer patients, when compared with DWI and FDG-PET/CT. The purpose of this study was to compare the prediction capability of among single- and multi-parametric approaches by APTw imaging, DWI, and FDG-PET/CT in NSCLC patients. |
| 0599 | 16:00
|
CT-to-MR image synthesis: A generative adversarial network-based method for detecting hypoattenuating lesions in acute ischemic stroke |
| Na Hu1, Tianwei Zhang2, Yifan Wu3, Biqiu Tang1, Minlong Li1, Qiyong Gong1, Shi Gu2, and Su Lui1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Computer and Engineering, University of Electronic Science and Technology of China, Chengdu, China, 3Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States |
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We aimed to develop a method of CT-to-MR image synthesis to assist in detecting hypoattenuating brain lesions in acute ischemic stroke. Emergency head CT images of 193 patients with suspected stroke and follow-up MR images were collected. A generative-adversarial-network model was developed for CT-to-MR image synthesis. With synthetic MRI compared to CT, sensitivity was improved by 116% in patient detection and 300% in lesion detection, and extra 75% of patients and 15% of lesions missed on CT were detected on synthetic MRI. Our method could be a rapid tool to improve readers’ detection of hypoattenuating lesions in AIS. |
| 0600 | 16:00
|
Identifying Diffuse Intrinsic Pontine Glioma (DIPG) Subtypes via Radiomic Approaches |
| Silu Zhang1, Zoltan Patay1, Bogdan Mitrea2, Angela Edwards1, Lydia McColl Makepeace1, and Matthew A. Scoggins1 | ||
1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Activ Surgical, Boston, MA, United States |
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Diffuse intrinsic pontine glioma (DIPG) is a pediatric brain tumor with very poor prognosis. In this study, we identify two subtypes of DIPG based on radiomic features. The two subtypes show a significant difference in survival rates. Subtype 1 has a mean progression-free survival (PFS) and overall survival (OS) of 8.9 and 12.7 months, respectively. Subtype 2 has a mean PFS and OS of 5.7 and 9.1 months, respectively. Our results suggest that shape features and intensity features extracted from FLAIR and T1-post contrast predict the prognosis of DIPG. |
| 0601 | 16:00
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Deep learning super-resolution for sub-50-micron MRI of genetically engineered mouse embryos |
| Zihao Chen1,2, Yuhua Chen1,2, Ankur Saini3, William Devine3, Yibin Xie1, Cecilia Lo3, Debiao Li1,2, Yijen Wu3, and Anthony Christodoulou1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States, 3Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States |
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Genetically engineered mouse models (GEMM) are indispensable in modeling human diseases. High resolution MRI with spatial resolution less than 100 μm has made incredible progress for phenotyping mouse embryos. However, it takes more than 10 hours' acquisition time to reach such high resolution, so reducing the scan time is of great need. Here we propose a deep learning based super-resolution approach for 3x3 super-resolution (SR) of mouse embryo images using raw k-space data. Our method can reduce the scan time by a factor of 9 while preserving the diagnostic details and shows better quantitative results than previous SR methods. |
| 0602 | 16:00
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Classification of Pediatric Posterior Fossa Tumors using Convolutional Neural Network and Tabular Data |
| Moran Artzi1,2,3, Erez Redmard3, Oron Tzemach3, Jonathan Zeltser3, Omri Gropper4, Jonathan Roth2,5,6, Ben Shofty2,5,7, Danil A. Kozyrev5,7, Shlomi Constantini2,5,7, and Liat Ben-Sira2,8 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel, 5Department of Pediatric Neurosurgery, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 6The Gilbert Israeli Neurofibromatosis Center, Tel Aviv University, Tel Aviv, Israel, 7The Gilbert Israeli Neurofibromatosis Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 8Division of Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel |
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A fused architecture contrived of 2 neural networks, pre-trained ResNet-50 CNN and tabular based network is proposed for the classification of Posterior fossa tumors (PFT) types. The study included data for 158 MRI of healthy controls and pediatric patients with PFT. The input data were T1WI+C, FLAIR and diffusion MRI, and tabular data (subject's age). The best classification results obtained by the fused CNN + tubular data architecture and based on diffusion images, achieved cross-validation accuracy of validation=0.88±0.04, test=0.87±0.02. Overall, the proposed architecture achieved a ~16% improvement in accuracy for the test data compared to CNN method for this dataset. |
| 0603 | 16:00
|
Deep Learning Segmentation of Lenticulostriate Arteries Using 3T and 7T 3D Black-Blood MRI |
| Samantha J Ma1,2, Mona Sharifi Sarabi2, Kai Wang2, Wenli Tan2, Huiting Wu3, Lei Hao3, Yulan Dong3, Hong Zhou3, Lirong Yan2, Yonggang Shi2, and Danny JJ Wang2 | ||
1Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 2University of Southern California, Los Angeles, CA, United States, 3Department of Radiology, The First Affiliated Hospital of University of South China, Hunan, China |
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Given the inaccessibility of cerebral small vessels to existing clinical in vivo imaging technologies, early cerebral microvascular morphological changes in small vessel disease (SVD) can be difficult to evaluate. In this study, we trained a deep learning (DL)-based algorithm with 3T and 7T black-blood images on two vendor platforms to automatically segment lenticulostriate arteries (LSAs) in the brain. Our results show that black-blood imaging in conjunction with DL is a promising approach to enable quantitative morphometric analysis in patients with cerebral SVD. |
| 0604 | 16:00
|
Disability Prediction in Multiple Sclerosis using Ensemble of Machine Learning Models and DTI Brain Connectivity |
| Berardino Barile1, Aldo Marzullo2, Claudio Stamile3, Françoise Durand-Dubief4, and Dominique Sappey-Marinier1,5 | ||
1CREATIS (UMR 5220 CNRS & U1206 INSERM), Université Claude Bernard Lyon 1, Villeurbanne, France, 2Department of Mathematics and Computer Science, University of Calabria, Rende, Italy, 3R&D Department, CGnal, Milan, Italy, 4Hôpital Neurologique, Hospices Civils de Lyon, Bron, France, 5MRI, CERMEP - Imagerie du Vivant, Bron, France |
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The Expanded Disability Status Scale (EDSS) monitors physical impairment in Multiple Sclerosis (MS). A Staking Ensemble model composed of 4 ML "boosting" models was used to predict EDSS using both white matter (WM) fiber-bundles and structural connectome data. This model provided excellent prediction results with an RMSE of 0.92 to 1.08. A counterfactual model was added to highlight the most important WM links and fiber-bundles in the prediction process. The accordance of the findings obtained with both data types confirmed the clinical interest of such methods for disability prediction using DTI data. |
| 0605
|
16:00
|
The feasibility of an optimized Faster R-CNN in detection and differentiation HT from PTMC Using high b-value DWI with RESOLVE |
| ChengLong Deng1,2, BingChao Wu1,2, QingJun Wang3, QingLei Shi4, Bei Guan1,2, DaCheng Qu5, and YongJi Wang*1,2,6 | ||
1Collaborative Innovation Center, Institute of Software, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, PLA 6th medical center, Beijing, China, 4MR Scientific Marketing, Siemens Healthcare, Beijing, China, 5School of Computer Science and Technology， Beijing Institute of Technology, Beijing, China, 6State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China |
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In this study, we optimized a Faster R-CNN algorithm through constraining anchor boxes generated by Region Proposal Network (RPN) based on prior knowledge, and evaluated the feasibility of the optimized model in detecting and differentiating Hashimoto's thyroiditis (HT) from papillary thyroid microcarcinomas (PTMC) based on high b-value (2000 sec/mm2) diffusion-weighted images that acquired with readout segmentation of long variable echo-trains (RESOLVE) sequence. The study indicated that our model based on high b-value (2000 sec/mm2) DWI images demonstrated great potential as a new inspection tool in the diagnosis of benign and malignant thyroid micronodules. |
| 0606
|
16:00
|
Identification of diffusion-based micro-structural measures most sensitive to multiple sclerosis focal damage using GAMER-MRI |
| Po-Jui Lu1,2,3, Muhamed Barakovic1,2,3, Matthias Weigel1,2,3,4, Reza Rahmanzadeh1,2,3, Riccardo Galbusera1,2,3, Simona Schiavi5, Alessandro Daducci5, Francesco La Rosa6,7,8, Meritxell Bach Cuadra6,7,8, Robin Sandkühler9, Jens Kuhle2,3, Ludwig Kappos2,3, Philippe Cattin9, and Cristina Granziera1,2,3 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2Neurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 4Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 5Department of Computer Science, University of Verona, Verona, Italy, 6Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 7Medical Image Analysis Laboratory, Center for Biomedical Imaging (CIBM), University of Lausanne, Lausanne, Switzerland, 8Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 9Center for medical Image Analysis & Navigation, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland |
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We applied an attention-based convolutional neural network to select discriminating diffusion measures derived from mathematical models of multi-shell diffusion data in the classification of multiple sclerosis lesions. Further, we correlated the selected measures or their combinations with the Expanded Disability Status Scale (EDSS) and the serum level of neurofilament light chain (sNfL). Our results show that the combinations have stronger correlations with EDSS and sNfL than the individual measures. The proposed method might be useful for selecting the microstructural measures most discriminative of focal tissue damage and identifying the combination most related to clinical disability and neuroaxonal damage. |
| 0607 | 16:00
|
Deep Learning-based high-resolution pseudo-CT to detect cranial bone abnormalities for pediatric patients using MRI |
| Parna Eshraghi Boroojeni1, Yasheng Chen2, Paul K. Commean1, Cihat Eldeniz1, Udayabhanu Jammalamadaka1, Gary B. Skolnick3, Kamlesh B. Patel3, and Hongyu An1 | ||
1Mallinckrodt Institute of Radiology, Washington University in St. Louis, Saint louis, MO, United States, 2Department of Neurology, Washington University in St. Louis, Saint louis, MO, United States, 3Division of Plastic and Reconstructive Surgery, Washington University in St. Louis, Saint louis, MO, United States |
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Computed tomography (CT) scans are commonly used in pediatric patients with head trauma and craniosynostosis to identify skull fractures and sutures, respectively. However, the ionizing radiation associated with the CT scans increases the pediatric patients’ risk for cancer. We developed a deep learning-based method, which consists of two networks focusing on skull and head separately, to generate high-resolution pseudo-CT (pCT) from a radial MR scan. A Dice coefficient of 0.90 ± 0.02 was obtained in the bone.Moreover, a pCT mean absolute error (MAE) of 87.5 ± 4.4 HU was achieved. |
| 0608
|
16:00
|
A unsupervised machine learning approach for classification of white matter hyperintensity patterns applied to Systemic Lupus Erythematosus. |
| Theodor Rumetshofer1, Francesca Inglese2, Jeroen de Bresser2, Peter Mannfolk3, Olof Strandberg4, Markus Nilsson1, Itamar Ronen2, Andreas Jönsen5, Linda Knutsson6,7, Tom Huizinga8, Gerda Steup-Beekman8, and Pia Sundgren1,9,10 | ||
1Clinical Science Lund / Diagnostic Radiology, Lund University, Lund, Sweden, 2Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden, 4Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden, 5Department of Rheumatology, Lund University, Skåne University Hospital, Lund, Sweden, 6Department of Medical Radiation Physics, Lund University, Lund, Sweden, 7Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 8Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands, 9Department of Clinical Sciences/Centre for Imaging and Function, Skåne University Hospital, Lund, Sweden, 10Lund University BioImaging Center, Lund University, Lund, Sweden |
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White Matter Hyperintensities (WMH) are common clinical neuroimaging brain markers. However, WMH in Systemic Lupus Erythematosus (SLE) are non-specific. For this purpose, we developed and unsupervised machine learning approach based on individual WMH distribution to unveil hidden MRI phenotypes. Cluster analysis was performed on a two-site SLE dataset with significant different WMH burden and MRI acquisition protocols. The resulting MRI phenotypes show a clear lesion pattern on distinct WM tracts. This approach reduces the influence of the total WMH burden and MRI acquisition parameters and improves WMH characterization in SLE. |
16:00
|
MR-Guided Radiotherapy: Topological Map to GPS | |
| Caroline Chung | ||
| The University of Texas MD Anderson Cancer Center | ||
16:30
|
Multiparametric 4D-MRI for Precision Radiotherapy of Abdominal Cancers | |
| Jing Cai | ||
| The Hong Kong Polytechnic University | ||
17:00
|
Motion Estimation in MR-Based Body RT Planning & Treatment | |
| Alessandro Sbrizzi | ||
| University Medical Center Utrecht | ||
17:30
|
Oxygen-Enhanced MRI: An Effective Predictive Imaging Biomarker for Tumour Radiation Response | |
| Ralph Mason | ||
| UT Southwestern Medical Center | ||
18:00
|
MRI Assessment of Tumour Response to Radiotherapy | |
| Catherine Coolens | ||
| University of Toronto | ||
0:00
|
The Non-Axonal Component of Human White Matter: What It Is & Why to Image It | |
| Caterina Mainero | ||
| Harvard Medical School | ||
0:00
|
Imaging Neuroinflammation with Hyperpolarized 13C MRS | |
| Myriam M. Chaumeil | ||
| University of California, San Francisco | ||
0:00
|
Diffusion-Weighted Magnetic Resonance Spectroscopy: A Tool to Look at Glial Cytomorphology | |
| Itamar Ronen | ||
| Leiden University Medical Centre | ||
0:00
|
Non-Axonal Contribution to the Diffusion MRI Signal | |
| Ileana Jelescu | ||
| École Polytechnique Fédérale de Lausanne | ||
0:00
|
Quantitative Magnetisation Transfer Imaging: Not Only Myelin | |
| Mara Cercignani | ||
| Brighton & Sussex Medical School | ||
| 17:00 | Software Engineering for MR Scientists: How to use Version Control |
| Megan Poorman |
| 17:30 | How to Be Part of a Large Software Project |
| Eric Borisch |
| 0609
|
18:00
|
Six-Dimensional, Free-Breathing Multitasking Multi-Echo (MT-ME) MRI for Whole-Liver T1, PDFF, and R2* Quantification |
| Nan Wang1, Tianle Cao1,2, Fei Han3, Yibin Xie1, Xiaodong Zhong3, Sen Ma1, Xinheng Zhang1,2, Xiaoming Bi3, Mazen Noureddin4, Vibhas Deshpande3, Anthony G Christodoulou1, and Debiao Li1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 4Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Chronic liver disease has been a leading cause of mortality worldwide. Multiparametric MRI is a promising tool for non-invasive characterization of liver disease, but has yet to be widely used in clinical practice due to demanding technical challenges. In this work, we proposed a 6D Multitasking multi-echo (MT-ME) technique that allows free-breathing acquisition, whole-liver coverage, and simultaneous T1, PDFF, R2*, and water-specific T1 (T1w) quantification. Phantom study and in vivo studies with 14 volunteers and 1 patient with NAFLD were performed. The quantitative parameters measured from MT-ME were repeatable and showed good agreement with the reference methods. |
| 0610
|
18:00
|
Rapid high resolution simultaneous mapping of composite T1, water-only T1 and PDFF in the abdomen with dual-echo IR-radSPGR pulse sequence |
| Zhitao Li1,2, John M Pauly2, and Shreyas Vasanawala1 | ||
1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2Electrical Engineering, Stanford University, Palo Alto, CA, United States |
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A radial IR-SPGR pulse sequence with bipolar readouts is demonstrated along with a model-based iterative reconstruction to simultaneously map high resolution composite and water-only T1 and proton density fat fraction (PDFF) in the abdomen. The proposed pulse sequence and reconstruction algorithm can yield high-quality T1 and PDFF maps in 2.5 seconds/slice. The resulting maps have an in-plane resolution of 1.25mm and through-plane resolution of 5.00mm. When combined with selective inversion pulse, the technique achieves multi-slice imaging for breath-hold studies. |
| 0611
|
18:00
|
Free-Breathing, Confounder Corrected T1 Mapping in the Liver with Stack-of-Stars Inversion Recovery MRI |
| Yavuz Muslu1,2, Ty A. Cashen3, Sagar Mandava4, 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, Madison, 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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Quantitative T1 mapping in the liver is an emerging biomarker of hepatic fibrosis and characterization of liver function. The variable flip angle approach with Cartesian sampling is among the most popular T1 mapping methods used in the abdomen. A major drawback of this approach is that T1 estimations are highly sensitive to B1 inhomogeneities. Furthermore, Cartesian sampling suffers from motion related ghosting artifacts and requires breath-holding acquisitions. In this study, we propose to combine stack-of-stars radial sampling with dual-echo inversion recovery (IR-SoS) MRI for confounder corrected T1 mapping in the abdomen. |
| 0612
|
18:00
|
Improved Slice Coverage in Inversion Recovery Radial Balanced-SSFP using Deep Learning |
| Eze Ahanonu1, Zhiyang Fu1,2, Kevin Johnson2, Maria Altbach2,3, and Ali Bilgin1,2,3 | ||
1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Biomedical Engineering, University of Arizona, Tucson, AZ, United States |
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Abdominal T1 mapping is important for quantitative evaluation of various pathologies. A recent inversion recovery radial balanced-SSFP (IR-radSSFP) technique allows high resolution T1 mapping of ten slices within a single breath hold period (BHP), but requires multiple BHPs for full abdominal coverage. We propose an accelerated T1 mapping framework which utilizes deep learning to estimate T1 using a fraction of the T1 recovery curve (T1RC). In vivo experiments demonstrate that the proposed framework achieves less than 6% T1 error while using only 25% of the T1RC of the earlier IR-radSSFP technique. This enables full abdominal coverage within a single BHP. |
| 0613 | 18:00
|
Efficient T2 mapping of the Abdomen with low SAR Variable Flip Angle Radial Turbo Spin Echo |
| Mahesh Bharath Keerthivasan1,2, Lavanya Umapathy2,3, Jean-Philippe Galons2, Diego Martin4, Ali Bilgin2,3,4, and Maria Altbach2 | ||
1Siemens Medical Solutions USA Inc, New York, NY, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 4Biomedical Engineering, University of Arizona, Tucson, AZ, United States |
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Radial TSE techniques have been proposed for abdominal T2-weighted (T2w) imaging and T2 mapping. Slice efficiency of breath-held RADTSE is limited by the specific absorption rate (SAR). We present a reduced SAR variable refocusing flip angle RADTSE (RADTSE-VFA) technique designed for efficient slice coverage and improved T2 estimation. The flip angles are designed to (1) minimize T2 estimation error, (2) improve lesion-liver relative contrast, and (3) minimize SAR. RADTSE-VFA generated T2w images with comparable contrast as constant flip angle RADTSE while resulting in a 60% increase in slice coverage at a 1.5x reduction in SAR. |
| 0614 | 18:00
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Accurate and precise myocardial T1 and T2 mapping in a single breath-hold with multi-parametric SASHA |
| Kelvin Chow1, Genevieve Hayes2, Jacqueline Flewitt2, Patricia Feuchter2, Carmen Lydell2, Andrew Howarth2, Joseph Pagano3, Richard Thompson4, Peter Kellman5, and James White2 | ||
1Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, IL, United States, 2Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada, 3Division of Pediatric Cardiology, University of Alberta, Edmonton, AB, Canada, 4Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 5National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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A novel multi-parametric cardiac mapping sequence, mSASHA, is proposed to calculate T1 and T2 maps in a single breath-hold. mSASHA is validated against spin-echo in phantoms with -0.7±0.4% T1 error and -1.3±1.3% T2 error. In 10 healthy volunteers at 3T, mSASHA had similar T1 values to SASHA in the myocardium (1523±18 ms vs. 1520±18, p>0.05) and blood pool (2054±61 ms vs. 2060±65 ms, p>0.05). mSASHA had similar myocardial T1 coefficient of variation (CoV) to SASHA and MOLLI and similar myocardial T2 CoV to T2p-bSSFP (p>0.05). mSASHA provides accurate and precise T1 and T2 maps in a single breath-hold. |
| 0615
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18:00
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3D whole-heart free-breathing isotropic joint T1/T2 quantification: preliminary clinical evaluation |
| Carlos Velasco1, Giorgia Milotta1, Alina Hua1, Karl Kunze1,2, Radhouene Neji1,2, Tevfik Ismail1, Claudia Prieto1, and René M. Botnar1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Myocardial tissue characterization, such as quantification of fibrosis and oedema plays an important role in many myocardial diseases. T1 and T2 maps are typically acquired sequentially in 2D under several breath-holds. However, they achieve limited spatial resolution and coverage. To overcome these limitations, a high resolution, motion compensated joint T1/T2 water/fat sequence has been recently proposed and validated in phantom and healthy subjects. In this study, we demonstrate the capability of the proposed approach to obtain whole-heart, motion-compensated, simultaneous and co-registered T1, T2 maps and water and fat images in ~9min in patients with cardiovascular disease. |
| 0616
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18:00
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Feasibility and insights into transient state phase-based mapping for rapid T2 quantification in the myocardium |
| Ingo Hermann1,2, Daiki Tamada3, Scott Reeder3, Lothar Schad2, and Sebastian Weingärtner1 | ||
1Magnetic Resonance Systems Lab, Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 2Computer Assisted Clinical Medicine, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany, 3Department of Radiology, University of Wisconsin, Madison, WI, United States |
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In this study we explore the use of the signal phase of RF phase modulated gradient echo imaging during steady state for rapid T2 mapping in the myocardium. RF phase modulated GRE images were obtained with quadratic phase increments of ±2° and T2 times were extracted by matching the phase evolution. B1+ sensitivity was incorporated in the reconstruction based on separately acquired Bloch-Siegert maps. Good correlation was found in phantom measurements (R>0.95; p<0.0001) and high visual image quality in vivo. |
| 0617 | 18:00
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Multiband Multitasking for Cardiac T1 Mapping |
| Qi Liu1, Yuan Zheng1, Jingyuan Lyu1, Zhongqi Zhang2, Yanqun Teng2, Shuheng Zhang2, Jian Xu1, and Weiguo Zhang1 | ||
1UIH America, Inc., Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China |
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Multiband (MB) technique is combined with multitasking for increased spatial coverage of the heart without prolonging scan time. Two different MB multitasking implementations were developed and compared with the conventional multitasking technique on volunteers and phantoms. Both methods demonstrated similar capabilities in solving multiple ‘tasks’ when compared with the reference method and exhibited good agreement in T1 mapping values. MB multitasking is a promising technique for cardiac MR. |
| 0618 | 18:00
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Fast T2-mapping in prostate cancer based on echo-time domain compressed sensing |
| Jochen Keupp1, Petra J. v. Houdt2, Jakob Meineke1, Paul de Bruin3, Johannes M. Peeters3, Leon ter Beek4, and Mariya Doneva1 | ||
1Philips Research, Hamburg, Germany, 2Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 3Philips Healthcare, Best, Netherlands, 4Department of Medical Physics, The Netherlands Cancer Institute, Amsterdam, Netherlands |
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T2w-MRI plays an important role in prostate cancer providing information on the location and aggressiveness in diagnosis and therapy. T2-mapping may provide objective characterization, but is hampered by long acquisition time, which has been addressed by dedicated acceleration techniques (e.g. k-t T2-mapping). We investigated T2-mapping in a prostate cancer patient based on a 4-minute protocol with Poisson-disk prospective irregular sub-sampling in the ky-TE domain in combination with a low rank and sparsity constraint compressed sensing reconstruction. The regularization parameters were investigated, and compressed sensing results were compared to separately acquired k-t T2-maps with respect to quality and noise. |
| 0619
|
18:00
|
Approaching Real-Time Patient-Specific SAR Calculation for Parallel Transmission at 7 Tesla |
| Eugene Milshteyn1,2, Georgy Guryev3, Angel Torrado-Carvajal1,2,4, Jacob K. White3, Lawrence L. Wald1,2,5, and Bastien Guerin1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Medical Image Analysis and Biometry Laboratory, Universidad Rey Juan Carlos, Madrid, Spain, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States |
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Current parallel transmission protocols have conservative safety limits due to offline simulations of generic body models. Instead, a personalized medicine approach should be used, whereby the patient-specific SAR is calculated as the patient lies on the table. In this way, more accurate, and hopefully less conservative safety limits can be employed. In this study, we develop a fast methodology for patient-specific SAR calculations with an 8 channel pTx head coil at 7T. We show a real-time approach in 6 volunteers for scanning the patient, segmenting the body, and performing an electromagnetic simulation in order to generate the local SAR maps. |
| 0620
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18:00
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Rapid calibration scan for estimating temporally-varying eddy currents in diffusion imaging using a time-resolved PEPTIDE imaging approach |
| Merlin J Fair1 and Kawin Setsompop1,2 | ||
1Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States |
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A rapid calibration scan for estimating eddy-currents in diffusion acquisitions was developed using the time-resolved PEPTIDE imaging approach. This calibration scan estimates temporally-varying eddy-current fields across three principal diffusion-directions in <30s, with estimates of eddy-fields across other directions derived through a linear model. The accuracy of this method was validated in simulation, phantom and in-vivo experiments. In a high-SNR diffusion phantom, estimated eddy-fields closely match that of “FSL-eddy” on a large blip-up and blip-down 64-direction EPI dataset. For in-vivo data at b=5000s/mm2, estimates from PEPTIDE-based calibration was able to maintain high-accuracy estimation of the eddy-current field despite low SNR. |
| 0621 | 18:00
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Fully Integrated Scanner Implementation of Direct Signal Control for 2D T2-Weighted TSE at Ultra-High Field |
| Raphael Tomi-Tricot1,2,3, Jan Sedlacik2,3, Jonathan Endres4, Juergen Herrler5, Patrick Liebig6, Rene Gumbrecht6, Dieter Ritter6, Tom Wilkinson2,3, Pip Bridgen7, Sharon Giles7, Armin M. Nagel4, Joseph V. Hajnal2,3, Radhouene Neji1,2, and Shaihan J. Malik2,3 | ||
1MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Institute of Radiology, University Hospital Erlangen, Erlangen, Germany, 5Institute of Neuroradiology, University Hospital Erlangen, Erlangen, Germany, 6Siemens Healthcare GmbH, Erlangen, Germany, 7School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Direct Signal Control (DSC) uses parallel transmission (pTx) with more flexibility than conventional static RF shimming to tackle RF inhomogeneity at ultra-high field in fast spin echo (FSE) sequences by varying complex weights of successive RF pulses independently along the refocusing train. Also, unlike other dynamic pTx methods, it preserves RF pulse properties and sequence timing. This work demonstrates the applicability of DSC in routine conditions for neuroimaging, with minimal workflow disruption. In-vivo T2-weighted FSE results exhibit higher signal and better homogeneity when using DSC over RF shimming, while explicitly ensuring safe operation. |
| 0622
|
18:00
|
Frequency Drift in MR Spectroscopy: An 87-scanner 3T Phantom Study |
| Steve C.N. Hui1,2, Mark Mikkelsen1,2, Helge J. Zöllner1,2, Vishwadeep Ahluwalia3, Sarael Alcauter4, Laima Baltusis5, Deborah A. Barany6, Laura R. Barlow7, Robert Becker8, Jeffrey I. Berman9, Adam Berrington10, Pallab K. Bhattacharyya11, Jakob Udby Blicher12, Wolfgang Bogner13, Mark S. Brown14, Vince D. Calhoun15, Ryan Castillo16, Kim M. Cecil17, Yeo Bi Choi18, Winnie C.W. Chu19, William T. Clarke20, Alexander R. Craven21, Koen Cuypers22, Michael Dacko23, Camilo de la Fuente-Sandoval24, Patricia Desmond25, Aleksandra Domagalik26, Julien Dumont27, Niall W. Duncan28, Ulrike Dydak29, Katherine Dyke30, David A. Edmondson17, Gabriele Ende8, Lars Ersland31, C. John Evans32, Alan S. R. Fermin33, Antonio Ferretti34, Ariane Fillmer35, Tao Gong36, Ian Greenhouse37, James T. Grist38, Meng Gu39, Ashley D. Harris40, Katarzyna Hat41, Stefanie Heba42, Eva Heckova13, John P. Hegarty II43, Kirstin-Friederike Heise44, Aaron Jacobson45, Jacobus F.A. Jansen46, Christopher W. Jenkins47, Stephen J. Johnston48, Christoph Juchem49, Alayar Kangarlu50, Adam B. Kerr5, Karl Landheer51, Thomas Lange52, Phil Lee53, Swati Rane Levendovszky54, Catherine Limperopoulos55, Feng Liu56, William Lloyd57, David J. Lythgoe58, Maro G. Machizawa59, Erin L. MacMillan7, Richard J. Maddock60, Andrei V. Manzhurtsev61, María L. Martinez-Gudino62, Jack J. Miller63, Heline Mirzakhanian64, Paul G. Mullins65, Jamie Near66, Wibeke Nordhøy67, Georg Oeltzschner1,2, Raul Osorio62, Maria C.G. Otaduy68, Erick H. Pasaye4, Ronald Peeters69, Scott J. Peltier70, Ulrich Pilatus71, Nenad Polomac71, Eric C. Porges72, Subechhya Pradhan55, James Joseph Prisciandaro73, Nick Puts74, Caroline D. Rae75, Francisco Reyes-Madrigal76, Timothy P.L. Roberts9, Caroline E. Robertson77, Muhammad G. Saleh78, Jens T. Rosenberg79, Diana-Georgiana Rotaru58, O'Gorman Tuura L. Ruth80, Kristian Sandberg12, Ryan Sangill81, Keith Schembri82, Anouk Schrantee83, Natalia A. Semenova84, Debra Singel85, Rouslan Sitnikov86, Jolinda Smith87, Yulu Song36, Craig Stark88, Diederick Stoffers89, Stephan P. Swinnen44, Costin Tanase60, Sofie Tapper1,2, Martin Tegenthoff42, Thomas Thiel90, Marc Thioux91, Peter Truong92, Pim van Dijk91, Nolan Vella82, Rishma Vidyasagar93, Andrej Vovk94, Guangbin Wang36, Lars T. Westle67, Timothy K. Wilbur54, William R. Willoughby95, Martin Wilson96, Hans-Jörg Wittsack97, Adam J. Woods98, Yen-Chien Wu99, Junqian Xu100, Maria Yanez Lopez101, David K.W. Yeung19, Qun Zhao102, Xiaopeng Zhou29, Gasper Zupan94, and Richard A.E. Edden1,2 | ||
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, 3GSU/GT Center for Advanced Brain Imaging, Georgia Institute of Technology, Atlanta, GA, United States, 4Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico, 5Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States, 6Kinesiology, University of Georgia, Athens, GA, United States, 7Department of Radiology, The University of British Columbia, Vancouver, BC, Canada, 8Center for Innovative Psychiatry and Psychotherpay Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 9Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 10Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 11Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 12Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark, 13Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria, 14Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 15Tri-Institutional Center for Translational Research in Neuroimaging and Data Science(TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, United States, 16Neuroscience Research AustraliaNeuRA Imaging, Randwick, Australia, 17Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 18Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States, 19Department of Imaging & Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 20Wellcome Centre for Integrative Neuroimaging, NDCN, University of Oxford, Oxford, United Kingdom, 21Department of Biological and Medical Psychology, University of Bergen, Haukeland University Hospital, Bergen, Norway, 22REVAL Rehabilitation Research Institute (REVAL), Hasselt University, Diepenbeek, Belgium, 23Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 24Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico, 25Department of Radiology, University of Melbourne/ Royal Melbourne Hospital, Melbourne, Australia, 26Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland, 27Clinical Imaging Core Facility, CI2C Lille, Lille, France, 28Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan, 29School of Health Sciences, Purdue University, West Lafayette, IN, United States, 30School of Psychology, University of Nottingham, Nottingham, United Kingdom, 31Department of Clinical Engineering, University of Bergen, Haukeland University Hospital, Bergen, Norway, 32CUBRIC, Cardiff University, Cardiff, United Kingdom, 33Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan, 34Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy, 35Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 36Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China, 37Human Physiology, University of Oregon, Eugene, OR, United States, 38Physiology, Anatomy, and Genetics/ Oxford Centre for Magnetic Resonance, The University of Oxford / Department of Radiology, The Churchill Hospital, The University of Oxford, Oxford, United Kingdom, 39Department of Radiology, Stanford University, Stanford, CA, United States, 40Department of Radiology, University of Calgary, Calgary, AB, Canada, 41Institute of Psychology, Jagiellonian University, Krakow, Poland, 42Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany, 43Psychiary & Behavioral Sciences, Stanford University, Stanford, CA, United States, 44Department of Movement Sciences, KU Leuven, Leuven, Belgium, 45Department of Radiology, University of California San Diego, San Diego, CA, United States, 46Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 47CUBRIC, Cardiff university, Cardiff, United Kingdom, 48Psychology Dept. / Clinical Imaging Facility, Swansea University, Swansea, United Kingdom, 49Biomedical Engineering and Radiology, Columbia University, New York City, NY, United States, 50Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York City, NY, United States, 51Biomedical Engineering, Columbia University, New York City, NY, United States, 52Department of Radiology, Medical Physics, University of Freiburg, Freiburg, Germany, 53Department of Radiology, University of Kansas Medical Center, Kansas, KS, United States, 54Department of Radiology, University of Washington, Seattle, WA, United States, 55Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, United States, 56Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY, United States, 57Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, United Kingdom, 58Department of Neuroimaging, King's College London, London, United Kingdom, 59Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan, 60Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA, United States, 61Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russian Federation, 62Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente, Mexico City, Mexico, 63Department of Physics, University of Oxford, Oxford, United Kingdom, 64Department of Psychiatry, University of California San Diego, San Diego, CA, United States, 65Department of Psychology, Bangor University, Bangor, United Kingdom, 66Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, QC, Canada, 67Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 68LIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil, 69Department of Imaging & Pathology, Department of Radiology, University Hospitals Leuven, KU Leuven, Leuven, Belgium, 70Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 71Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany, 72Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States, 73Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States, 74Forensic & Neurodevelopmental Sciences, King's College London, London, United Kingdom, 75NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia, 76Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico, 77Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States, 78Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 79McKnight Brain Institute, AMRIS, University of Florida, Gainesville, FL, United States, 80Center for MR Research, University Children's Hospital, Zurich, Switzerland, 81Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark, 82Medical Physics, Mater Dei Hospital, Imsida, Malta, 83Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands, 84504, Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russian Federation, 85Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 86Clinical Neuroscience, MRI Centre, Karolinska Institutet, Clinical Neuroscience, MRI Centre, Sweden, 87Lewis Center for Neuroimaging, University of Oregon, Eugene, OR, United States, 88Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), University of California, Irvine, Irvine, CA, United States, 89Spinoza Centre for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands, 90Institute of Clinical Neuroscience and Medical Psychology, University Dusseldorf, Medical Faculty, Düsseldorf, Germany, 91Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, Netherlands, 92Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada, 93Melbourne Dementia Research Centre, Florey Institute of Neurosciences and Mental Health, Melbourne, Australia, 94Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia, 95Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States, 96Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom, 97Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, Düsseldorf, Germany, 98Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States, 99Department of Radiology, TMU-Shuang Ho Hospital, New Taipei City, Taiwan, 100Department of Radiology and Psychiatry, Baylor College of Medicine, Houston, TX, United States, 101Perinatal Imaging & Health, King's College London, London, United Kingdom, 102Bioimaging Research Center, University of Georgia, Athens, GA, United States |
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This project aimed to examine the relationship between gradient-induced heating and field drift on a large sample of MRI scanners. A standardized phantom protocol was established, and spectroscopy was performed before and after running 10 minutes of echo-planar imaging (EPI). MRS data were acquired from 87 scanners. The frequency drift trace was extracted by modeling the water signal in each transient. Drift rates of up to 1.3 Hz/minute were seen before EPI, and 4 Hz/minute after. This dataset will allow sites to benchmark scanner drift, for consideration in planning research protocol order and examine the need for real-time field-frequency locking. |
| 0623
|
18:00
|
A 64-Channel Brain Array Coil with an Integrated 16-Channel Field Monitoring System for 3T MRI |
| Mirsad Mahmutovic1, Alina Scholz1, Nicolas Kutscha1, Markus W. May1, Torsten Schlumm2, Roland Müller2, Kerrin Pine2, Luke J. Edwards2, Nikolaus Weiskopf2,3, David O. Brunner4, Harald E. Möller2, and Boris Keil1 | ||
1Institute of Medical Physics and Radiation Protection, TH Mittelhessen University of Applied Sciences, Giessen, Germany, 2Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany, 4Skope Magnetic Resonance Technologies AG, Zurich, Switzerland |
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Combining highly parallel array coils, magnetic field monitoring, and high gradient strength provide a complementary approach to enhance diffusion-weighted imaging (DWI). A 64-channel receive brain array with an incorporated 16-channel field camera system was developed to be used with 300 mT/m gradients from the 3T Connectom scanner. The increased signal-to-noise ratio (SNR) and implemented parallelism was highly beneficial, and will improve SNR-starved high-b value DWI acquisitions, while the magnetic field monitoring data successfully corrected the images from blurring, aliasing and distortions. |
| 0624
|
18:00
|
MaxGIRF: Image Reconstruction Incorporating Maxwell Fields and Gradient Impulse Response Function Distortion |
| Nam G. Lee1, Rajiv Ramasawmy2, Adrienne E. Campbell-Washburn2, and Krishna S. Nayak1,3 | ||
1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 3Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
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Non-Cartesian imaging can suffer from local blurring caused by concomitant fields and off-resonance. Concomitant fields are especially problematic when using prolonged non-Cartesian readouts with high gradient amplitudes at lower field strengths. We present a new reconstruction method, denoted MaxGIRF, for non-Cartesian imaging that corrects concomitant fields and trajectory errors without specialized hardware. The proposed method utilizes gradient impulse response functions to predict gradients waveforms which are in-turn used to estimate concomitant fields with analytic expressions. Image artifacts were successfully mitigated by the proposed method from 2D SE spiral imaging of the human brain acquired on a prototype 0.55T MRI system. |
| 0625 | 18:00
|
Joint 3D motion-field and uncertainty estimation at 67Hz on an MR-LINAC |
| Niek RF Huttinga1, Tom Bruijnen1, Cornelis AT van den Berg1, and Alessandro Sbrizzi1 | ||
1Department of Radiotherapy, Computational Imaging Group for MR therapy & Diagnostics, University Medical Center Utrecht, Utrecht, Netherlands |
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We present a probabilistic framework to perform simultaneous real-time 3D motion estimation and uncertainty quantification. We extend our preliminary work to a realistic prospective in-vivo setting, and demonstrate it on an MR-LINAC. The acquisition+processing time for 3D motion-fields is around 15ms, yielding a 67Hz frame-rate. Results indicate high quality predictions, and uncertainty estimates that could be used for real-time quality assurance during MR-guided radiotherapy on an MR-LINAC. |
| 0626
|
18:00
|
Impact of B1+-Shimming and 2-spoke pTx on 4D Angiography at 7T |
| Christian R. Meixner1, Sebastian Schmitter2,3, Jürgen Herrler4, Arnd Dörfler4, Michael Uder1, and Armin M. Nagel1,3 | ||
1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 3Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Institute of Neuro-Radiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany |
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4D-angiography exploiting pseudo-continuous arterial spin labeling at 7T suffers from specific absorption rate constraints, low B1+ efficiency for the labeling and B1+ inhomogeneity in the readout. In this work, we propose a B1+-phase shim trading B1+ homogeneity and transmit efficiency for the labeling combined with a dynamic transmission 2-spoke excitation readout. In volunteer measurements, the proposed approach outperformed the standard circular polarized mode by an increased vessel intensity and more vessel conspicuity. |
| 0627
|
18:00
|
System for Validating MRI-based Myocardial Stiffness Estimation Techniques Using 3D-Printed Heart Phantoms |
| Fikunwa O. Kolawole1,2, Tyler Edward Cork2,3,4, Michael Loecher2,3, Judith Zimmermann3,5, Seraina A. Dual3, Marc E. Levenston1,3, and Daniel B. Ennis2,3 | ||
1Mechanical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States, 4Bioengineering, Stanford University, Stanford, CA, United States, 5Computer Science, Technical University of Munich, Garching, Germany |
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Cardiac MRI and finite element based techniques can be used to obtain subject-specific myocardial material properties. Verifying the accuracy and precision of these techniques requires overcoming the challenge of obtaining ground-truth in vivo myocardial stiffness estimates. This work presents a highly controlled in vitro diastolic filling setup incorporating a 3D-printed heart phantom developed with myocardial tissue-mimicking material of known mechanical and MRI properties. The setup enables acquisition of the data needed to estimate myocardial stiffness in computational models: phantom geometry, loading pressures, boundary conditions, and filling strains. This setup is designed to enable extensive validation of myocardial stiffness estimation frameworks. |
| 0628 | 18:00
|
Disposable Point-of-care Portable Perfusion Phantom for Accurate Quantitative DCE-MRI |
| Martin Dawson Holland1, Andres Morales1, Sean Simmons2, Brandon Smith1, Samuel R Misko1, Roy P Koomullil1, Junzhong Xu3, David A Hormuth, II4, Junzhong Xu3, Thomas E Yankeelov4, and Harrison Kim1 | ||
1University of Alabama at Birmingham, Birmingham, AL, United States, 2Objective Design, Birmingham, AL, United States, 3Vanderbilt University Medical Center, Nashville, TN, United States, 4University of Texas, Austin, TX, United States |
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A new point-of-care portable perfusion phantom was developed to reduce inter- and intra-scanner variability of quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). This device is disposable, easily operable, and conveniently deliverable for widespread, routine clinical use. As this device has high repeatability (intraclass correlation coefficient = 0.997), it can be utilized to improve the accuracy of quantitative DCE-MRI based analysis of many diseases including cancer. |
| 0629 | 18:00
|
Highly Accelerated Sub-millimeter Resolution 3D EPI using Variable Density CAIPI Sampling with Temporal Random Walk for Functional MRI at 7 Tesla |
| Suhyung Park1,2, Sugil Kim3, Hankyeol Lee4, Seulgi Eun4, Seong-Gi Kim4,5, and David Feinberg6,7 | ||
1Department of Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, 2Department of ICT Convergence System Engineering, Chonnam National University, Gwangju, Korea, Republic of, 3Siemens-Healthineers, Seoul, Korea, Republic of, 4Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 5Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 6University of California, Berkeley, Berkeley, CA, United States, 7Advanced MRI Technologies, Sebastopol, CA, United States |
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With ultra-high fields, 3D EPI has been used by improving imaging efficiency. Nevertheless, there have been some limitations: 1) the regular sampling limits the use of temporal structure in the data and 2) parallel imaging allows up to 6-fold acceleration in 3D acquisition. Here, we developed an accelerated 3D EPI using VD-CAPI sampling with temporal random walk. Experimental studies confirm advantages in acceleration, SNR, and sensitivity of the proposed method: 1) temporal random walk allows extra spatial encoding across time, 2) temporal prior provides high SNR, and 3) the temporal incoherent sampling and high SNR result in higher BOLD activations. |
| 0630 | 18:00
|
Whole brain layer-fMRI: An open dataset for methods benchmarking |
| Anna K Mueller1, Miriam Heynckes2, Christopher J Wiggins3, Omer Faruk Gulban4, Yuhui Chai5, Benedikt Poser2, and Renzo Huber2 | ||
1Goethe-Universität Frankfurt am Main, Mainz, Germany, 2Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Scannexus, Maastricht, Netherlands, 4Brain Innovation, Maastricht, Netherlands, 5NIH, Bethesda, MD, United States |
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Laminar-specific fMRI allows neuroscientists to address research questions of directional functional connectivity within and across brain areas. While recent sequence developments allow considerable improvements in coverage, resolution, and mitigation of venous biases, it is not established how routinely useful those methods are for everyday neuroscientific application. We present an open dataset of whole-brain CBV-sensitive layer-dependent fMRI during free movie watching. Its purpose is to:
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| 0631
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18:00
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Simultaneous pure spin-echo and gradient-echo BOLD fMRI using Echo Planar Time-resolved Imaging (EPTI) for mapping laminar fMRI responses |
| Fuyixue Wang1,2, Zijing Dong1,3, Lawrence L. Wald1,2, Jonathan Polimeni1,2, and Kawin Setsompop4,5 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 3Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 4Department of Radiology, Stanford University, Stanford, CA, United States, 5Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
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We introduced a novel imaging approach SE-EPTI to address the T2’-contamination in SE-EPI for higher specificity of BOLD fMRI. EPTI resolves multi-contrast distortion/blurring-free images to simultaneously obtain: a pure SE image with minimal T2’-contamination, multiple GE images with various T2’-weightings, and conventional SE-EPI images with different levels of T2’-contamination. We demonstrated at 7T that the pure SE can significantly reduce the draining-vein-effect, and by using shorter ETLs, less T2’-contamination was introduced. A new echo-train-shifting method is also proposed for SE-EPTI to offer flexibility of achieving shorter TEs, allowing us to examine the TE dependence of the signal contribution. |
| 0632 | 18:00
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VASO-fMRI with Nordic-PCA for laminar sensory testing at 7 Tesla |
| Nils Dennis Nothnagel1, Alison Symon1, Andrew Tyler Morgan1,2, Renzo Huber3, John Riddell1, and Jozien Goense1 | ||
1Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, United Kingdom, 2NIH, Bethesda, MD, United States, 3Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands |
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The most commonly used contrasts in laminar fMRI are blood-oxygen-level-dependent (BOLD) and vascular-space-occupancy (VASO). However, at laminar resolution, brain activity is often buried under noise, complicating the detection of small changes in activation.Here, we show the successful extraction of laminar brain activity of a complex-valued BOLD- and VASO-fMRI time series during a somatosensory task using NORDIC-PCA denoising. We expect this method to be a great asset for laminar sensory fMRI experiments as it reduces the need for anatomically informed smoothing or anisotropic filtering, which might be helpful for very small voxel sizes or when small activated areas are studied. |
| 0633 | 18:00
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Topographical and Laminar Distribution of Audiovisual Processing within Human Planum Temporale |
| Yuhui Chai1, Tina Liu1, Sean Marrett1, Linqing Li1, Arman Khojandi1, Daniel Handwerker1, Arjen Alink2, Lars Muckli3, and Peter Bandettini1 | ||
1NIMH, Bethesda, MD, United States, 2University Medical Centre Hamburg-Eppendorf, Hamburg, Germany, 3University of Glasgow, Glasgow, United Kingdom |
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Multisensory interplay can occur in areas that are commonly considered unisensory, such as planum temporale (PT). The roles of different afferents to PT in multisensory processing are not well understood. Using sub-millimeter fMRI at 7T, we compared laminar activity patterns across topographical subfields of PT under unimodal and multisensory stimuli. We found (1) anterior PT was activated more by auditory inputs and received feedback in superficial layers, likely coming from higher-order multimodal areas; (2) posterior PT was preferentially activated by visual inputs and received visual feedback in both superficial and deep layers, likely projected directly from the early visual cortex. |
| 0634
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18:00
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Double spin-echo EPI improves sensitivity and specificity for cortical depth-dependent BOLD fMRI in the human somatosensory cortex at 7 T |
| SoHyun Han1,2, HyungJoon Cho3, Kâmil Uludaǧ1,2, and Seong-Gi Kim1,2 | ||
1Center for Neuroscience Imaging Research, Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of |
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Spatial-specificity is important for high spatial-resolution-fMRI to determine neuronal activity laminar-profiles. GE-BOLD-signals have low specificity because the highest signals originate from draining-veins at the surface of the cortex, not from capillaries nearby active neurons. However, SE-BOLD-signal has been proposed to be a better indicator of the location of neural activity. In this study, double SE-EPI-sequence was developed to achieve increased sensitivity in SE-BOLD-fMRI and demonstrated its feasibility for fMRI with 0.8-mm in-plane resolution. The results confirm that dSE-BOLD has higher specificity than GE-BOLD and better sensitivity than conventional-SE-BOLD and its potential to probe the function of cortical-circuits with high specificity. |
| 0635 | 18:00
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Mapping digit-representations in BA3b during stimulation and investigating their intrinsic connectivity at rest using VASO |
| Sebastian Dresbach1, Renzo Huber1, Rainer Goebel1, and Amanda Kaas1 | ||
1Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands |
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While inter-digit interactions are crucial for manual abilities like tool use or object manipulation, individual digits seem to be distinctly represented in the primary somatosensory cortex. Here, we used cortical depth-resolved high-resolution CBV-measurements to investigate these representations in the putative S1-subregion “BA3b” and depth-dependent temporal correlation during rest, as a potential index for layer-specific integration between digit representations. We found that we can
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| 0636 | 18:00
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Layer- and column-resolved 7T fMRI reveals neural correlates of consciousness in human visual cortex and thalamus |
| Chencan Qian1,2, Chengwen Liu3, Jinyou Zou4, Yan Zhuo1,2, Sheng He1,2,5, and Peng Zhang1,2 | ||
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, 3Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China, 4Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, 5Department of Psychology, University of Minnesota, Minneapolis, MN, United States |
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Binocular rivalry is a unique window to study the neural correlates of consciousness. Where and how does binocular rivalry arise in the human brain remains an open question. Using laminar fMRI at 7T, we found that eye-specific modulation of BOLD signal peaked in the middle layer of primary visual cortex (V1) during simulated replay, but stronger in the superficial layer during rivalry. Furthermore, eye-specific modulation of lateral geniculate nucleus (LGN) activity was robust in the replay but minimal in the rivalry condition. These findings support that binocular rivalry mainly arises from interocular interaction in the superficial layer of V1. |
| 0637 | 18:00
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Submillimeter Arterial Blood Contrast fMRI at 7T |
| Nikos Priovoulos1, Icaro Agenor Ferreira de Oliveira1, Benedikt Poser2, David G Norris3,4, and Wietske van der Zwaag1 | ||
1Spinoza Center, Amsterdam, Netherlands, 2Maastricht University, Maastricht, Netherlands, 3Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands, 4Erwin L. Hahn Institute for MRI, University of Duisburg-Essen, Essen, Germany |
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BOLD-fMRI has transformed human neuroscience, but is limited in its spatial specificity compared to cerebral blood-volume approaches. Arterial-Blood-Contrast was recently suggested as a cerebral-blood-volume method based on Magnetization transfer. Here, we apply Arterial-Blood-Contrast in the SAR-constrained 7T environment and examine its submillimeter usage. The results suggest good localization compared to BOLD and high-sensitivity. |
| 0638 | 18:00
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Correlation between inter-cortical depth fMRI signals and oscillatory neuronal responses during music listening |
| Hsin-Ju Lee1,2, Pu-Yeh Wu1, Hankyeol Lee3, Kamil Uludag3,4, Hsiang-Yu Yu5,6,7, Cheng-Chia Lee6,7,8, Chien-Chen Chou5,6, Chien Chen5,6, Wen-Jui Kuo7,9, and Fa-Hsuan Lin1,2,10 | ||
1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 4Techna Institute & Koerner Scientist in MR Imaging,, Joint Department of Medical Imaging and Krembil Brain Institute, University Health Network, Toronto, ON, Canada, 5Department of Epilepsy, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 6School of Medicine, National Yang-Ming University, Taipei, Taiwan, 7Brain Research Center, National Yang-Ming University, Taipei, Taiwan, 8Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 9Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, 10Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland |
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We explored the correlation between cortical depth-dependent fMRI signal and oscillatory neural activity during music listening using high-resolution fMRI (7T with 0.8 mm and 3T with 1.5 mm isotropic resolution, respectively) and invasive electrode recording on epilepsy patients. The hemodynamic responses in the auditory cortex were found positively and negatively correlated with neural oscillations in the gamma and alpha/beta band at right and both hemispheres, respectively. These correlations were highest at the intermediate cortical depth. Core and non-core areas of the auditory cortex had different correlations. |
| 0639
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18:00
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Localization regime of diffusion in human gray matter on a high-gradient MR system: Sensitivity to soma size |
| Hong-Hsi Lee1, Els Fieremans1, Susie Y Huang2, Qiyuan Tian2, and Dmitry S Novikov1 | ||
1New York University School of Medicine, New York, NY, United States, 2Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States |
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In vivo estimation of cell dimension using diffusion MRI usually requires biophysical modeling of multiple compartments in biological tissues. However, the signal decomposition of multiple compartments is non-trivial due to limited amount of data and scan time. Instead, by applying strong diffusion gradients, a universal localization regime emerges: Magnetization far away from the cell boundaries vanishes, and only that near the boundaries within a thickness of localization length contributes to signal. Here, using Connectome gradients, we for the first time achieve the localization regime in vivo, and estimate the soma size in cortical brain gray matter of two healthy subjects. |
| 0640
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18:00
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Parameter estimation for the GRAMMI (GRAy Matter Microstructure Imaging) model of two exchanging compartments in the rat cortex in vivo |
| Alexandre de Skowronski1, Marco Palombo2, Dmitry S. Novikov3, and Ileana O. Jelescu4 | ||
1Dept. of Physics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Centre for Medical Image Computing and Dept. of Computer Science, University College London, London, United Kingdom, 3Center for Biomedical Imaging, Dept. of Radiology, New York University, New York, NY, United States, 4CIBM Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Developing a relevant model for brain gray matter is a complex task. As opposed to white matter, features such as inter-compartment water exchange or soma should likely be modeled. In this work we examine the performance of a variant of the Kärger Model, called GRAMMI, that accounts for exchange, both on synthetic and experimental data. We show q-t coverage is necessary for reliable model parameter estimation at the individual voxel level and compare two regression approaches. Future work includes protocol optimization and the extension of the GRAMMI model to account for soma. |
| 0641
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18:00
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Diffusion MRI-Based Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference |
| Maëliss Jallais1, Pedro L. C. Rodrigues1, Alexandre Gramfort1, and Demian Wassermann1 | ||
1Université Paris-Saclay, Inria, CEA, Palaiseau, France |
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We propose a new method to solve the inverse problem of relating the diffusion MRI signal with cytoarchitectural characteristics in brain gray matter. Specifically, our method has quantitative sensitivity to soma density and volume. Our solution is twofold. First, we propose a new forward model that relates summary statistics of the dMRI signal with tissue parameters, relying on six b-shells only. We then apply a likelihood-free inference based algorithm to invert the proposed model, which not only estimates the tissue parameters that best describe the acquired diffusion signal, but also a full posterior distribution over the parameter space. |
| 0642 | 18:00
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Large-scale analysis of brain cell morphometry informs microstructure modelling of gray matter |
| Marco Palombo1, Daniel C. Alexander1, and Hui Zhang1 | ||
1Centre for Medical Image Computing, University College London, London, United Kingdom |
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Diffusion-weighted MRI (dMRI) is a formidable technique for non-invasively characterizing brain microstructure. Biophysical modelling is often necessary to gain specificity to cellular structure. However, designing sensible biophysical models and appropriate dMRI acquisitions is challenging, especially for gray matter (GM), as little is known about typical values of relevant features of brain-cell morphology contributing to dMRI signal. This study addressed this unmet need: we analysed ~3,500 cells from mouse, rat, monkey and human brains to determine statistical distributions of 13 morphological features relevant to GM microstructure modelling. Illustrative examples demonstrate how this study can inform biophysical modelling. |
| 0643
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18:00
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Power-law scaling of the diffusion signal in gray matter and the influence of exchange |
| Jonas L. Olesen1,2, Noam Shemesh3, and Sune N. Jespersen1,2 | ||
1Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Aarhus University, Aarhus, Denmark, 2Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark, 3Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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Diffusion models can be validated by observing their functional dependencies, exemplified by the b-1/2 power-law scaling recently used to validate the “stick” compartment in white matter. In contrast, such behavior has not been observed in grey matter (GM), potentially due to a) water exchange between dendrites and extra-neurite space and/or b) a distinct signal contribution from somas. We report the first observation of the stick power-law in GM at very large b-values consistent with b). Nevertheless, the dependence on diffusion time indicates significant water exchange affecting the scaling range. The combined observations thus offer a window into more complicated microstructure. |
| 0644 | 18:00
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What can a rat tell about physics beyond Standard Model: Exchange or structural disorder? |
| Ileana O. Jelescu1,2 and Dmitry S. Novikov3 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland, 3Dept. of Radiology, New York University School of Medicine, New York, NY, United States |
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One fundamental challenge in brain microstructure is to establish the biophysical origin of effects beyond the “Standard Model” (SM) picture of non-exchanging Gaussian compartments. The intra-compartmental structural disorder competes with inter-compartmental water exchange. Here we show that in rats, the exchange dominates, and offer the picture of diffusion time effectively filtering out the contribution of unmyelinated axons with stronger dispersion. At long times, only the myelinated (non-exchanging) axons contribute to the intra-axonal SM compartment, and the rest is attributed to extra-axonal space. |
| 0645
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18:00
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Feasibility of axon diameter estimation in complex fiber architectures by powder averaging of the diffusion MRI signal |
| Mariam Andersson1,2, Marco Pizzolato1,2,3, Hans Martin Kjer1,2, Henrik Lundell1, and Tim B. Dyrby1,2 | ||
1Danish Research Centre for Magnetic Resonance, Hvidovre, Denmark, 2Technical University of Denmark, Kgs. Lyngby, Denmark, 3Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Orientation dispersion bias in axon diameter measurements can be removed by powder averaging of the diffusion MRI signal in isotropically distributed directions, but has not been validated in complex fiber architectures. Here, we demonstrate the success of the spherical mean technique (SMT) and a recent power law (PL) implementation in removing orientation-related bias in diameter estimates of real axons from the splenium corpus callosum and a complex crossing fiber region of the vervet monkey brain. In the crossing fiber region, we find a significant population of very large axons, indicating a need for sensitivity to a wide range of diameters. |
| 0646
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18:00
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SPHERIOUSLY? The challenges of estimating spherical pore size non-invasively in the human brain from diffusion MRI |
| Maryam Afzali1, Markus Nilsson2, Marco Palombo3, and Derek K Jones1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom |
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Soma and Neurite Density Imaging (SANDI) was recently proposed to disentangle cylindrical and spherical geometries, attributed to neurite and soma compartments. In this work, using: (i) ultra-strong gradients; (ii) a combination of linear, planar, and spherical b-tensor encodings; and (iii) analysing the signal in the frequency domain, three main challenges were identified; First, the Rician noise floor biases estimation of soma properties. Second there is an empirical lower bound on the spherical signal fraction and pore-size. Third, if there is sensitivity to the transverse intra-cellular diffusivity in cylindrical structures, estimation of spherical pore-size is challenging. |
| 0647 | 18:00
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Estimation of intra-axonal axial diffusivity by tensor-valued dMRI and powder-averaging |
| Markus Nilsson1, Samuel St-Jean1,2, Christian Beaulieu2, and Filip Szczepankiewicz1 | ||
1Clinical Sciences Lund, Lund University, Lund, Sweden, 2Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada |
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The intra-axonal axial diffusivity (Da) has a prominent role in describing and modeling the white matter microstructure, but cannot be obtained from regular diffusion tensor imaging due to the influence of orientation dispersion and extracellular water. It may be estimated using higher b-values and modeling, however, its estimation is still an ill-posed problem or requires knowledge of the orientation distribution function. Here, we show that using b-tensor encoding and powder averaging turns the problem into a well-posed one and allows rapid mapping across the whole brain yielding Da values of 2.2-2.7 µm2/ms. |
| 0648 | 18:00
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Dynamic Changes in Brain Tissue Strain and ADC over the Cardiac Cycle quantified at 7T MRI |
| Jacob-Jan Sloots1, Martijn Froeling1, Geert Jan Biessels2, and Jaco Zwanenburg1 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology, University Medical Center Utrecht, Utrecht, Netherlands |
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The apparent diffusion coefficient (ADC) in brain tissue slightly varies over the cardiac cycle. In this study, we investigate to what extent ADC variations can be explained by brain tissue strain, which affects the measured MRI signals. To this end, we developed a high-field MRI sequence that simultaneously measures both ADC and tissue strain. Preliminary results in 2 volunteers show that ADC fluctuations over the cardiac cycle are an order of magnitude larger than could be explained from measurement errors induced by tissue strains. Consequently, ADC fluctuations in the brain probably reflect physiology. |
| 0649
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18:00
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Variations of quantitative MRI metrics along the cervical spinal cord: multi-vendor, multi-center, multi-subject study |
| Jan Valošek1,2 and Julien Cohen-Adad2,3 | ||
1Department of Neurology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic, 2NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 3Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, QC, Canada |
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Quantitative MRI (qMRI) of the spinal cord (SC), such as diffusion-weighted and magnetic transfer imaging can be used in diagnosis of many different diseases. In this study, we established normative qMRI metrics along C2-C5 cervical SC levels for different regions-of-interest (spinal cord, white and gray matter, white matter columns) for 3 major MRI vendors (Siemens, Philips, GE) in large open-access dataset of ~250 healthy subjects. Metrics showed dependency on vertebral levels and confirmed different microstructural organization along SC. Moreover, differences in qMRI metrics were observed between individual vendors suggesting the influence of different MRI scanner configurations. |
| 0650
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18:00
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Exploring diffusion modeling for the human cervical spinal cord: an evaluation of 480 multicompartment models |
| Kurt G Schilling1, Qi Yang2, Vishwesh Nath3, Rutger Fick4, Kristin P O'Grady1, Adam W Anderson2, Bennett A Landman1, and Seth A Smith1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States, 3NVIDIA, Bethesda, MD, United States, 4TheraPanacea, Paris, France |
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A large number of models have been developed to describe the diffusion MRI signal as a sum of different neural compartments. However, development and optimization of these multicompartment models has largely focused on the brain. In this work, we apply and compare a combinatorially large number of biophysical models (N=480) in the in vivo human spinal cord, evaluating their ability to fit the signal and also predict unseen signal. We find that certain combinations of constraints and compartments better model the signal in the cervical spinal cord, and we give recommendations for future modeling of this structure with clinical acquisitions. |
| 0651
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18:00
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The good, the bad and the ugly : a retrospective study of image quality in human cervical spinal cord MRI at 7T |
| Guillaume Frebourg1,2, Aurélien Massire1,2, Lauriane Pini1,2, Maxime Guye1,2, Bertrand Audoin2,3, Annie Veschueren2,4, Pierre-Hugues Roche5, and Virginie Callot1,2 | ||
1Aix-Marseille University, CNRS, CRMBM, Marseille, France, 2AP-HM, Hôpital de la Timone, CEMEREM, Marseille, France, 3AP-HM, Hôpital de la Timone, Neurology Dept., Marseille, France, 4AP-HM, Hôpital de la Timone, Neuromuscular Disease Dept., Marseille, France, 5AP-HM, Hôpital Nord, Neurosurgery Dept., Marseille, France |
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In the context of fast expansion of 7T clinical MR systems for neurological applications, a retrospective evaluation of cervical spinal cord image quality acquired on 41 patients and 25 healthy controls was performed. Several morphometric parameters were collected, and four MR modalities were rated. Altogether, this study provides guidance for both clinicians and physicists, regarding current sequence robustness and most frequent problems to be addressed. |
| 0652
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18:00
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Detection of resting state correlations between white matter tracts in spinal cord using BOLD fMRI and their changes with injury |
| Anirban Sengupta1, Arabinda Mishra1, Feng Wang1, Li Min Chen1, and John C. Gore1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States |
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The study objective was to detect and quantify correlations between resting state BOLD signals in WM of spinal cord (SC) as potential indicator of functional connectivity, and evaluate changes that occur following injury. At first, BOLD activation was detected in response to tactile stimuli in certain WM regions in the SC of squirrel monkeys. Next, localized BOLD activity was observed during resting state in SC regions which resembled closely to WM tracts. There was a drop in resting state WM correlations after injury, followed by gradual recovery with time which mimics the pattern of SC functional recovery after an injury. |
| 0653
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18:00
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Correlating advanced MRI and histopathological measurements of axons and myelin in human traumatic spinal cord injury |
| Sarah Rosemary Morris1,2,3, Andrew Yung1,2,4, Valentin Prevost1,2,4, Shana George1, Andrew Bauman1,2,4, 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 K Kwon1,7, and Cornelia Laule1,2,3,5 | ||
1International Collaboration on Repair Discoveries (ICORD), Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, Vancouver, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Vancouver General Hospital, Vancouver, BC, Canada, 7Vancouver Spine Surgery Institute, Vancouver, BC, Canada |
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Using human spinal cord tissue donated to the International Spinal Cord Injury Biobank, we quantitatively correlated binarized histological stains for myelin and axons with myelin- and axon-sensitive advanced MRI metrics (myelin water fraction (MWF), inhomogeneous magnetization transfer (ihMT), diffusion tensor imaging (fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity, RD), diffusion basis spectrum imaging (fibre fraction, FF)). MWF, ihMT and RD had significant, moderately strong correlations with Luxol fast blue staining for myelin phospholipids. FA, AD and FF did not have any significant correlation with phosphorylated neurofilament immunohistochemistry. |
| 0654 | 18:00
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Variability of the hemodynamic response function in the healthy human cervical spinal cord at 3 Tesla |
| D Rangaprakash1 and Robert L Barry1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States |
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Functional MRI is an indirect measure of neural activity, being the convolution of the hemodynamic response function (HRF) and latent neural response. The HRF is variable across brain regions and individuals. However, resting-state spinal cord fMRI studies still largely ignore this variability, partly due to an incomplete understanding of HRF variability in the cord. To address this gap, we characterized within- and between-subjects HRF variability within the cervical spine (N=20). 6–9% HRF variability was observed in the gray matter, and 3–5% in the white matter. This is an important confound to be accounted for in future spinal cord fMRI studies. |
| 0655 | 18:00
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Associations between cervical cord sodium concentration, neuronal density and macromolecular tissue volume in spinal cord injury |
| Bhavana S Solanky1, Ferran Prados1,2, Francesco Grussu1,3, Marco Battiston1, Jon Stutters1, Selma Al-Ahmad4, Baris Kanber2, David Choi4, Jalesh Panicker5, and Claudia AM Gandini Wheeler-Kingshott1,6,7 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom, 2Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London (UCL), London, United Kingdom, 3Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 4National Hospital For Neurology and Neurosurgery, London, United Kingdom, 5Department of Uro-Neurology, The National Hospital for Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, London, United Kingdom, 6Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 7Brain Connectivity Centre Research Department, IRCCS Mondino Foundation, Pavia, Italy |
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Sodium retention as a consequence of spinal cord injury is thought to impair the regenerative ability of neurons but also reduce damage. Pilot studies suggest a possible increase in total sodium concentration (TSC) in spinal cord injury. Here we report increases in spinal cord TSC in cervical myelopathy patients relative to healthy controls. Given that the increase could be a consequence of intracellular accumulation of sodium or increases in extracellular sodium through enlarged extracellular space, the correlations of sodium with microstructure were investigated using neurite orientation dispersion and density imaging (NODDI) and macromolecular tissue volume imaging. |
| 0656 | 18:00
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Atlas-based Quantification of DTI measures in Typically Developing Pediatric Spinal Cord |
| Shiva Shahrampour1, Benjamin De Leener2, Mahdi Alizadeh1, Devon Middleton1, Laura Krisa1, Adam Flanders1, Scott Faro1, Julien Cohen-Adad2, and Feroze Mohamed1 | ||
1Thomas Jefferson University, Philadelphia, PA, United States, 2Polytechnique Montreal, Montreal, QC, Canada |
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White matter microstructure, essential for efficient and coordinated transmission of neural communications, undergoes pronounced development during the first years of life. Hence, systematic evaluation of white matter microstructure in the normative pediatric spinal cord is critical for assessing early development and improving diagnosis of spinal cord related diseases. |
| 0657 | 18:00
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Detection of fine-scale functional networks in spinal cord and the effects of injury on intra- and inter-segmental networks |
| Anirban Sengupta1, Arabinda Mishra1, Feng Wang1, Li Min Chen1, and John C. Gore1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States |
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The objective of this study was to identify fine-scale resting state functional networks within the spinal cord gray matter of squirrel monkeys, and measure the changes in functional connectivity within the cord after a targeted injury. Independent Component Analysis of resting state fMRI data detected robust BOLD signals localized at the bilateral intermediate and gray-commissure regions of the spinal cord as well at the ‘4 horns’. A unilateral section of dorsal column tract at C5 segment of spinal cord damaged the inter-segmental connectivity more than intra-segmental connectivity, as observed through individual connectivity measures and community structures generated by graph-theory principles. |
| 0658 | 18:00
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Visualization technique for assessment of spinal cord fMRI data quality |
| Kimberly J Hemmerling1,2 and Molly G Bright1,2 | ||
1Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States, 2Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States |
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It is important to perform visual inspection of spinal cord imaging data throughout an fMRI analysis pipeline. The method presented here is an extension of an existing technique developed for the brain, adapted to spinal cord fMRI. We create a two-dimensional heatmap of the spinal cord derived from four-dimensional imaging data, which can be co-visualized with traces of motion and physiological signals, and identify examples of structured variations in the heatmap that may be attributed to these nuisance signals. Implementing this visualization of spinal cord fMRI data is a simple and fast method to examine data quality. |
18:00
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Learning from Deep Learning | |
| Eric K. Oermann1 | ||
1New York University Langone Health, New York, NY, United States |
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We’ve seen a decade of advances in machine learning and deep learning with a surge of interest in applying these advances to biomedical topics. What are these advances exactly? How are people looking to apply them to biomedical problems and are we finding any answers or only raising more questions? In short, “are we there yet”? I’ll discuss where we are, where we are going, and how I think that we’ll get “there” as Radiology continues to evolve in the coming years. |
18:30
|
Role of AI in Image Acquisition & Processing | |
| Tolga Cukur1,2,3 | ||
1Electrical-Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center, Bilkent University, Ankara, Turkey, 3Interdisciplinary Neuroscience Program, Bilkent University, Bilkent, Turkey |
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MRI offers an unrivaled opportunity to noninvasively examine the structure and function of the human brain. Yet, MRI exams are hindered by limitations on quality and diversity of acquired images due to scan time considerations. Classical approaches to acquisition and processing of imaging data often fail to address these limitations. In this talk, the potential role of machine learning in surpassing these fundamental barriers will be discussed. Novel deep learning techniques for image reconstruction, image synthesis and sampling design will be showcased. State-of-the-art results from these techniques indicate a bright future for machine learning in rapid, high-quality and high-sensitivity neuroimaging. |
19:00
|
AI in Stroke & Hemorrhage Detection | |
| Ona Wu1 | ||
1Massachusetts General Hospital, Charlestown, MA, United States |
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The use of artificial intelligence and machine learning for stroke research and clinical applications are increasing exponentially every year. Applications in stroke research focus on the extraction of phenotypes that can help in diagnosis, prognosis or management of stroke patients. These applications tend to fall into two major categories – classification or segmentation. We will briefly review some of the more frequently used applications in the domains of acute ischemic stroke and hemorrhage detection. We will also discuss some of the potential pitfalls and ethical questions that may arise. |
19:30
|
AI & NeuroOncology | |
| Spyridon Bakas1 | ||
1University of Pennsylvania, Philadelphia, PA, United States |
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This talk introduces computational analytics towards speeding up scientific discovery and personalized diagnostics. It then focuses on two areas; a) radiogenomics, b) data-private collaborations. For radiogenomics, a hypothesis-driven study of the first imaging signature of EGFRvIII in glioblastoma, is presented, followed by data-driven studies on EGFRvIII and other EGFR mutations generating hypothesis for deeper investigations. Then, the first federated learning simulation in healthcare is discussed, followed by the first large-scale real-world federation in medicine, towards developing an AI model to detect glioblastoma boundaries based on 10,000 patients scans from >55 international collaborating sites, without sharing any patient data. |
| 0659
|
18:00
|
A deep learning approach to estimate voxelwise cardiac-related brain pulsatility from BOLD MRI |
| Nicholas J Luciw1,2, William Cameron2, Andrew D Robertson3, Sarah Atwi2, and Bradley J MacIntosh1,2 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Kinesiology, University of Waterloo, Waterloo, ON, Canada |
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Blood-oxygenation-level-dependent (BOLD) MRI contains both neuronally-mediated and physiological contrast, such as cardiac-related hemodynamic pulsatility. Without a coincident cardiac trace, however, few options exist to assess voxel-specific hemodynamic pulsatility. We investigated the feasibility of training a convolutional neural network to generate accurate cardiac-related pulsatility maps without cardiac trace recordings. Using features derived from the BOLD signal, the network produced pulsatility estimates that were significantly associated with ground truth. This automated method enables investigation of cerebrovascular conditions through the vascular contributions to BOLD data, specifically when cardiac trace recordings are unavailable. |
| 0660 | 18:00
|
Machine Learning Evaluation of the Effects of Prematurity on Regional BOLD Resting-State Activity and Connectivity, and T1-w Brain Volumes. |
| Antonio Maria Chiarelli1, Carlo Sestieri1, Daniele Mascali1, Richard Geoffrey Wise1, and Massimo Caulo1 | ||
1Department of Neuroscience, Imaging and Clinical Sciences, University G. D'Annunzio of Chieti Pescara, Chieti Scalo, Italy |
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We used Machine Learning (ML) to infer gestational age (GA) at birth, and hence, as a metric of prematurity extent, assess its effect, in 88 premature infants using T2*-w BOLD resting-state connectivity and activity, and T1-w volume in 90 brain regions. ML was able to infer GA at birth. Analysis of the spatial distribution of effects indicated that volumetric alterations, in common with BOLD activity, are partially localized to subcortical structures, but are associated with widespread alterations of connectivity. Our results suggest a potential role for ML in early prediction of neurodevelopmental outcome based on BOLD and anatomical MRI metrics. |
| 0661 | 18:00
|
Clinical evaluation of an AI-accelerated two-minute multi-shot EPI protocol for comprehensive high-quality brain imaging |
| Bryan Clifford1, John Conklin2, Susie Huang2, Thorsten Feiweier3, Zahra Hosseini4, Augusto Lio M. Goncalves Filho2, Azadeh Tabari2, Serdest Demir2, Wei-Ching Lo1, Maria Gabriela Figueiro Longo2, Michael Lev2, Pam Schaefer2, Otto Rapalino2, Kawin Setsompop5,6, Berkin Bilgic7, and Stephen Cauley7 | ||
1Siemens Medical Solutions USA, Inc., Boston, MA, United States, 2Department Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Siemens Medical Solutions USA, Inc., Atlanta, GA, United States, 5Department Radiology, Stanford University, Stanford, CA, United States, 6Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 7Department Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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This work integrates a novel machine learning-based reconstruction and optimized magnetization transfer preparation modules with a multi-shot echo-planar imaging acquisition to provide comprehensive whole-brain imaging in two minutes. Neuroradiologist evaluation indicated that the proposed method can produce T2, T2*, T1, FLAIR, and DWI images with SNR, tissue contrast, and lesion conspicuity similar to that of a 10-minute turbo spin echo-based exam. To accommodate a wide range of radiologist preferences and/or hardware configurations without the need for additional training, the proposed method provides a tunable parameter for controlling the level of denoising. |
| 0662
|
18:00
|
Deep Learning-based Automatic Detection and Segmentation of Brain Metastases Using Multi-Task Learning with 3D Black-Blood and GRE Imaging |
| Yohan Jun*1, Yae Won Park*2, Yangho Lee1, Kyunghwa Han2, Chansik An3, Seung-Koo Lee2, Sung Soo Ahn**2, and Dosik Hwang**1 | ||
1Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea, Republic of, 3Research and Analysis Team, National Health Insurance Service Ilsan Hospital, Goyang, Korea, Republic of |
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For the detection of brain metastases, either contrast-enhanced 3D gradient echo (GRE) or spin echo (SE) imaging with black-blood (BB) imaging techniques are commonly used. The objective of this study was to evaluate whether a deep learning (DL) model using both 3D BB imaging and 3D GRE imaging may improve the detection and segmentation performance of brain metastases compared to that using only 3D GRE imaging. We demonstrated that the combined 3D BB and 3D GRE DL model can improve the detection and segmentation performance of brain metastases, especially in detecting small metastases. |
| 0663 | 18:00
|
Radio-pathomic models trained with autopsy tissue samples aligned to MP-MRI predict histopathological features in brain cancer patients. |
| Samuel Bobholz1, Allison Lowman2, Michael Brehler2, Savannah Duenweg1, Fitzgerald Kyereme2, Elizabeth Cochran3, Jennifer Connelly4, Wade Mueller5, Mohit Agarwal2, Darren O'Neill2, Anjishnu Banerjee6, and Peter LaViolette2,7 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Neurology, 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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This study used autopsy tissue in order to develop radio-pathomic models for histopathological features of brain cancer. These models used T1, T1C, FLAIR, and ADC images from 45 patients as input into bagged regression ensembles for cellularity, cytoplasm, and extracellular fluid, using the aligned autopsy tissue samples as ground truth. These models were able to accurately predict these features and were able to find tumor signatures, such as hypercellularity beyond the traditional contrast-enhancing and FLAIR hyperintense regions. These radio-pathomic maps provide new insights into non-invasive signatures of tumor pathology in the post-treatment state and beyond the contrast enhancing region. |
| 0664
|
18:00
|
Deep learning based prediction of H3K27M mutation in midline gliomas on multimodal MRI |
| Priyanka Tupe Waghmare1, Piyush Malpure2, Manali Jadhav2, Abhilasha Indoria3, Richa Singh Chauhan4, Subhas Konar5, Vani Santosh3, Jitender Saini6, and Madhura Ingalhalikar7 | ||
1E &TC, Symbiosis Institute of Technology, Pune, India, 2Symbiosis Center for Medical Image Analysis, Pune, India, 3National Institute of Mental Health and Neurosciences, Bangalore, India, 4National Institute of Mental Health & Neurosciences, Pune, India, 5National Institute of Mental Health & Neurosciences, Bangalore, India, 6Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India, 7Symbiosis Center for Medical Image Analysis and Symbiosis Institute of Technology, Pune, India |
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In midline gliomas, patients with H3K27M mutation have poor prognosis and shorter median survival. Moreover, since these tumors are located in deep locations biopsy can be challenging with substantial risk of morbidity. Our work proposes a non-invasive deep learning-based technique on pre-operative multi-modal MRI to detect the H3K27M mutation. Results demonstrate a testing accuracy of 69.76% on 51 patients. Furthermore, the class activation maps illustrate the regions that support the classification. Overall, our preliminary results provide a testimony that multimodal MRI can support identifying H3K27M mutation and with further larger studies can be translated to clinical workflow. |
18:00
|
How to Analyse Your Physiological MRI Data: Cerebrovascular Reactivity | |
| Joana Pinto | ||
| University of Oxford | ||
18:00
|
Quantitative MRI in Osteoarthritis: Novel Methods & Their Potential | |
| Xiaojuan Li | ||
| Cleveland Clinic | ||
18:30
|
Translational Challenges: Why Haven’t We Had a Larger Impact? | |
| James MacKay | ||
| University of East Angliga | ||
19:00
|
Quantitative MRI Needs & Opportunities: OA Population Studies | |
| Edwin Oei | ||
| Erasmus Medical Center | ||
19:30
|
Quantitative MRI Needs & Opportunities: Radiologist Perspective | |
| Christine Chung | ||
| University of California, San Diego | ||
20:00
|
Quantitative MRI Needs & Opportunities: Orthopedic Surgery Perspective | |
| Constance Chu | ||
| Stanford University | ||
20:30
|
Quantitative MRI Needs & Opportunities: Drug, Treatments & Therapy Development | |
| David Hunter | ||
| University of Sydney | ||
| 20:00 | Presidential Lecture: From the Big Bang to Homer’s Last Theorem |
| 20:30 | Probing Microstructure from Afar: Magnitude & Phase |
| Jongho Lee1 | |
1Seoul National University, Seoul, Korea, Republic of |
| 20:45 | Probing Microstructure Locally: T1, T2 & MT |
| Alex MacKay1 | |
1Radiology, University of British Columbia, Vancouver, BC, Canada |
| 21:00 | Probing the Micrometer Scale with Diffusion |
| Sune N. Jespersen1 | |
1Aarhus University, Aarhus, Denmark |
| 21:15 | Clinical Translation: Challenges & Opportunities |
| Cristina Granziera1 | |
1University Hospital Basel, Basel, Switzerland |
| 0665 | 12:00
|
Left-Right Intensity Asymmetries Systematically Vary Across MR Scanners and Introduce Diagnostic Uncertainty |
| Arvin Arani1, Christopher G. Schwarz1, Matthew C. Murphy1, Joshua D. Trzasko1, Jeffrey L. Gunter1, Matthew L. Senjem1, Heather J. Wiste1, Kiaran P. McGee1, Matthew A. Bernstein1, John Huston III1, and Clifford R. Jack Jr.1 | ||
1Mayo Clinic, Rochester, MN, United States |
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In magnetic resonance imaging (MRI) many factors can contribute to non-tissue specific image intensity inhomogeneity. However, the potential clinical impact or systematic biases of these effects have not been extensively investigated across multiple MRI vendors and models for neuroimaging applications. Specifically, left-right intensity comparisons are commonly used by radiologists to verify/identify pathology. If significant systematic left-right intensity asymmetries (LRIA) exist, it may lead to diagnostic uncertainty and result in unnecessary imaging follow-up and patient burden. This study shows that LRIA are common, system specific, systematic, can mimic disease, create diagnostic uncertainty, and can impact multiple sequences (T1-weighted and FLAIR). |
| 0666
|
12:00
|
Off-Resonance Self-Correction by Implicit B0-Encoding |
| Franz Patzig1, Bertram Wilm1, and Klaas Paul Pruessmann1 | ||
1Institut for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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A caveat in using trajectories with long readout durations are artefacts due to B0 inhomogeneity. Correcting these based on B0-maps or reverse-phase-encoded EPI requires additional scan time and is unattractive for some applications. In this work, the capability of coil-arrays to extrapolate information in k-space is shown to also allow the extraction of temporal information such as the time-varying phase introduced by B0-offsets. An optimization problem is formulated to retrieve an estimate of B0 from measured data without making assumptions on the employed trajectory. B0 estimation and self-correction of single-shot spiral and EPI in-vivo data (up to R=4) is demonstrated. |
| 0667 | 12:00
|
Improved Fat and Water Depiction in Musculoskeletal MRI by Control of Through-Slice Chemical-Shift Artifacts in 2D Turbo-Spin-Echo Imaging at 7 T |
| Constantin von Deuster1,2, Stefan Sommer1,2, Christoph Germann3,4, Natalie Hinterholzer2, Robin M. Heidemann5, Reto Sutter3,4, and Daniel Nanz2,4 | ||
1Siemens Healthcare, Zurich, Switzerland, 2Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland, 3Radiology, Balgrist University Hospital, Zurich, Switzerland, 4University of Zurich, Zurich, Switzerland, 5Siemens Healthcare, Erlangen, Germany |
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The large water-fat frequency difference at 7 T renders imaging of the musculoskeletal (MSK) anatomy very challenging. In particular, through-slice chemical-shift artifacts may manifest in state-of-the-art 2D turbo-spin-echo (TSE) images as partial or locally complete fat-signal loss that radiologists are usually not trained to account for from lower field strengths. In this work, we demonstrate the range of possible through-slice artifacts in MSK images and show that matched RF-pulse bandwidths as high as 1500 Hz for the excitation and refocusing RF-pulses are necessary to consistently perform successful, non-fat suppressed MSK imaging at 7 T. |
| 0668
|
12:00
|
Concomitant field compensation using additional oscillating gradients in a double diffusion encoding imaging sequence |
| Julian Rauch1,2, Frederik B. Laun3, Theresa Palm3, Jan Martin3,4, Maxim Zaitsev5,6, Mark E. Ladd1,2,7, Peter Bachert1,2, and Tristan A. Kuder1 | ||
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Division of Physical Chemistry, Lund University, Lund, Sweden, 5Medical Physics, Department of Radiology, Faculty of Medicine, Medical Center University of Freiburg, Freiburg, Germany, 6High Field Magnetic Resonance Center, Center for Medical Physics and Biomedical Engineering Medical University of Vienna, Vienna, Austria, 7Faculty of Medicine, Heidelberg University, Heidelberg, Germany |
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Concomitant or Maxwell fields cause intravoxel dephasing which can lead to strong image artifacts. In this study, we present a new method for concomitant field correction in double diffusion encoding sequences with single pairs of bipolar gradients on each axis. Additionally implemented oscillating gradients remove the dephasing without changing the desired image. Phase and magnitude images are analyzed with respect to concomitant field induced artifacts and the proposed correction method. We show that the compensation eliminates these artifacts without further consequences for image quality. The method also may be included in other imaging sequences to achieve concomitant field compensation. |
| 0669 | 12:00
|
Spectrally-encoded multi-spectral imaging (SEMSI) for off-resonance correction near metallic implants. |
| Daehyun Yoon1, Philip Lee2, Krishna Nayak3, and Brian Hargreaves1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, United Kingdom, 3Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
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Multi-spectral imaging (MSI) including view-angle-tilting (VAT) is the dominant technique to correct for severe off-resonance artifacts near metallic implants. While VAT mitigates the signal pile-up and translation artifact in the area of severe off-resonance, it also causes global blurring and SNR loss in the on-resonance area away from metal. In this work, we introduce a novel spectrally encoded MSI approach, denoted SEMSI, that resolves pile-up and translation artifacts without VAT or z-phase encoding. Phantom imaging results show the promise of SEMSI to provide high-quality, artifact-free images in the presence of metallic implants without global blurring. |
| 0670
|
12:00
|
Cancellation of streak artifacts using the interference null space (CACTUS) for radial abdominal imaging |
| Zhiyang Fu1,2, Maria I Altbach1,3, and Ali Bilgin1,2,3 | ||
1Department of Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 3Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States |
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In radial imaging, streaks due to gradient inhomogeneities can appear even when Nyquist criterion is fulfilled. Earlier techniques targeting this type of streaks remove coils contributing prominent streaks at the cost of signal loss. A phased array beamforming based technique (B-STAR), that can achieve a good trade-off between streak reduction and signal preservation, was proposed as a post-processing method. We propose CACTUS, an alternative technique for streak cancellation, which can be used either as a preprocessing method or with iterative reconstructions. In vivo abdominal experiments show enhanced image reconstructions and improved quantitative parameter maps. |
| 0671 | 12:00
|
Improved dynamic distortion correction for fMRI using single-echo EPI, a fast sensitivity scan and readout-reversed first image (REFILL) |
| Simon Daniel Robinson1,2,3, Beata Bachrata3,4, Korbinian Eckstein3, Saskia Bollmann1, Steffen Bollmann5, Siegfried Trattnig3, Christian Enzinger2, and Markus Barth5 | ||
1Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging, Medical University of Vienna, Vienna, Austria, 5School of Electrical Engineering and Information Technology, University of Queensland, Brisbane, Australia |
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We propose an improved dynamic distortion correction method for fMRI. A fast (4s) multi-echo GE reference scan is used to calculate coil sensitivities and other non-ΔB0-related contributions to coil phase, and one EPI volume in which the readout direction is reversed allows a phase gradient in the readout direction which is specific to EPI to be determined. Knowledge of these quantities allow fieldmaps to be calculated from the phase of each single-echo EPI volume. Reverse-Encoded First Image and Low resoLution reference scan (REFILL) fieldmaps accurately measure ΔB0 as it changes due to motion and respiration. |
| 0672
|
12:00
|
Laser Heating Induced Susceptibility Artifacts Cause Significant Temperature Erros in PRF Shift-based MR Thermometry |
| Ziyi Pan1, Meng Han2, Yawei Kuang2, Hao Sun2, Kai Zhang3, Yuan Lian1, Yishi Wang4, Wenbo Liu2, Guangzhi Wang5, and Hua Guo1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Sinovation Medical, Beijing, China, 3Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4Philips Healthcare, Beijing, China, 5Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China |
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MR-guided laser-interstitial thermal therapy (MRgLITT) is a minimally invasive therapeutic method that has created new options for surgically challenging lesions. Most MRgLITT procedures depend on proton-resonance-frequency (PRF) shift-based MR thermometry. However, it can be hampered by magnetic susceptibility changes generated during laser ablation. In this work, we demonstrate for the first time that laser-heating induced susceptibility changes can lead to significant temperature errors, with ex-vivo (pig muscle and brain tissues), in-vivo (Doberman) and clinical (epilepsy patient) experiments. A new algorithm based on multi-echo GRE instead of the conventional single-echo GRE is also introduce to correct the susceptibility-induced temperature errors. |
| 0673
|
12:00
|
Identifying the source of spurious echoes in single voxel 1H MR Spectroscopy |
| Zahra Shams1, Dennis W.J. Klomp1, Vincent O. Boer2, Jannie P. Wijnen1, and Evita C. Wiegers1 | ||
1Department of radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark |
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In this work, we proposed a new strategy to identify the source of potential artifacts in single voxel 1H MRS by taking into account the intrinsic B0 field gradients in the human brain. We mapped the intrinsic gradient fields inside the human head to assess the level of signal crushing of each pathway in the entire field of view of the receiver coil. This will enable subject and location specific design of optimal crusher gradient scheme in SV MRS. |
| 0674 | 12:00
|
Markerless optical head tracking system using facial features |
| Toru Sasaki1, Ryuichi Nanaumi1, Mitsuo Nishimura1, Kazuhiko Fukutani1, Shuichi Kobayashi1, Kazuya Okamoto2, Hiroshi Kusahara2, and Kazuto Nakabayashi2 | ||
1Medical Products Technology Development Center, R&D Headquarters, Canon Inc., Tokyo, Japan, 2Advanced MRI Development PJ Team, Canon Medical Systems Corp., Kanagawa, Japan |
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We have developed a markerless tracking system enabling to estimate head pose through limited apertures of a head coil. The system, composed of a mirror and four MR compatible cameras, tracks the patient's facial features. The patient’s face image through the head coil’s apertures is monitored during scanning. To demonstrate its feasibility for tracking, a volunteer was moving his head arbitrarily inside a scanner. Despite the limited apertures of the head coil, the facial features were successfully tracked. |
| 0675
|
12:00
|
Hyperpolarized 13C MRI reveals age-related changes in lactate metabolism in the human brain |
| Biranavan Uthayakumar1,2, Casey Y Lee1,2, Nadia Bragagnolo1,2, Hany Soliman3, Albert P Chen4, Ruby Endre5, William J Perks2, Chris Heyn6, Sandra E Black2, and Charles Cunningham7 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Radiation oncolocy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4GE Healthcare, Toronto, ON, Canada, 5Physical sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Radiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 7Medical Biophysics, Sunnybrook research institute, Toronto, ON, Canada |
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In this study, hyperpolarized 13C MRI was used to investigate age-related changes to lactate and bicarbonate production in the brain in a healthy aging population. A whole-brain parcellation method was used to investigate regional changes. A global reduction in the production of both 13C-lactate and 13C-bicarbonate was observed vs. age, with certain regions showing increased rates of change in comparison to the rest of the brain. Our results suggest an age-related change in the underlying metabolic processes, and paves the way for future analysis of pathological aging as seen in disorders like Alzheimer's disease. |
| 0676
|
12:00
|
Hyperpolarized [1-13C]pyruvate detects brain glucose metabolism and sex-specific vulnerability in glucose transporter deficient mice |
| Caroline Guglielmetti1,2, Huihui Li3, Lydia M. Le Page1,2, Lauren Y. Shields3, Jeffrey C. Rathmell4, Ken Nakamura3, and Myriam M. Chaumeil1,2 | ||
1Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, United States, 2Department of Radiology and Biomedical Sciences, University of California San Francisco, San Francisco, CA, United States, 3Gladstone Institute of Neurological Disease, San Francisco, CA, United States, 4Vanderbilt Center for Immunobiology, Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, United States |
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We used hyperpolarized 13C magnetic resonance spectroscopic imaging (HP 13C MRSI), fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) imaging and T2-weighted MRI to detect brain glucose metabolism in mice harboring deletion of the glucose transporter 3 (GLUT3) in CA1 hippocampal neurons. GLUT3 deletion induced memory impairment in males and females, highlighting the importance of glucose uptake by neurons. HP [1-13C]lactate-to-pyruvate ratios and brain volumes were decreased in female GLUT3 deficient mice, but not in males, indicating sex-specific vulnerability. No changes were detected using 18F-FDG PET imaging, highlighting the potential of HP [1-13C]pyruvate to detect downstream alterations in brain glucose metabolism. |
| 0677 | 12:00
|
Characterization of glycolytic phenotypes using hyperpolarized 13C-MR and [18F]FDG PET in endogenous T-cell lymphomas in mice |
| Frits H.A. van Heijster1, Jason G. Skinner1, Tim Wartewig2, Christian Hundshammer1, Martin Grashei1, Geoffrey J. Topping1, Erik Hameister2, Jürgen Ruland2, and Franz Schilling1 | ||
1Technical University Munich, Nuclear Medicine, Klinikum rechts der Isar, München, Germany, 2Technical University Munich, TranslaTUM, Center for Translational Cancer Research, München, Germany |
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High- and low- glycolytic phenotypes of murine T-cell lymphoma are characterized using hyperpolarized MR spectroscopy/imaging and [18F]FDG-PET. Differences in pyruvate-to-lactate conversion are found within tumor groups, where PET imaging did not show this distinction. Using tumor metabolic volumes derived from PET imaging on the other hand, it’s possible to distinguish between low- and high-grade tumors. The complementary information of the two modalities gives a more complete view of the characteristics of the glycolytic phenotypes in T-cell lymphoma. |
| 0678
|
12:00
|
Hyperpolarized 13C MRI Detects In-Vivo Effect of Exercise on Pyruvate Metabolism in Human Skeletal Muscle |
| Jun Chen1, Junjie Ma1, Crystal E Harrison1, James Ratnakar1, Zungho Zun2, Jeff Liticker1, Galen D Reed3, Avneesh Chhabra4, Thomas Jue5, Craig R Malloy1,3,6, and Jae Mo Park1,4,7 | ||
1AIRC, UT Southwestern Medical Center, Dallas, TX, United States, 2The Developing Brain Institute, Children’s National Hospital, Washington, DC, United States, 3GE, Chicago, IL, United States, 4Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 5Biochemistry and Molecular Medicine, UC Davis, Davis, CA, United States, 6Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, 7Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, United States |
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Pyruvate dehydrogenase (PDH) and lactate dehydrogenase (LDH) are essential for ATP production in skeletal muscle. However, directly PDH flux in exercising human muscle has been challenging and never assessed. This study was to demonstrate the feasibility of assessing PDH activation and changes in pyruvate metabolism in human skeletal muscle after the onset of exercise using hyperpolarized [1-13C]pyruvate. During moderate flexion-extension exercise, total HP 13C signals (tC), [1-13C]lactate/tC, and [13C]bicarbonate/tC increased significantly compared to resting state. This study demonstrates that PDH flux in skeletal muscle increases rapidly after the onset of exercise and decreases during recovery. |
| 0679
|
12:00
|
Hyperpolarized δ-[1-13C]gluconolactone detects response to chemotherapy in brain tumors in vivo |
| Georgios Batsios1, Celine Taglang1, Anne Marie Gillespie1, Peder Larson1, Sabrina M Ronen1, and Pavithra Viswanath1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States |
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Glucose metabolism via the pentose phosphate pathway (PPP) is typically upregulated in tumors, including gliomas. We previously showed that hyperpolarized δ-[1-13C]gluconolactone metabolism via the PPP to 6-phospho-[1-13C]gluconate (6PG) differentiates tumor from contralateral normal brain in preclinical glioma models. Here, we examined the ability of hyperpolarized δ-[1-13C]gluconolactone to probe response to temozolomide, which is a key chemotherapeutic drug for glioma patients. Our studies in live cells and rats bearing orthotopic gliomas indicate that 6PG production from hyperpolarized δ-[1-13C]gluconolactone serves as an early biomarker of response to temozolomide, a finding that has the potential to improve treatment response monitoring for glioma patients. |
| 0680 | 12:00
|
Hyperpolarised xenon ventilation MRI in difficult asthma; initial experience in a clinical setting |
| Helen Marshall1, Grace T Mussell1, Laurie J Smith1, Alberto M Biancardi1, Paul JC Hughes1, Andrew J Swift1, Smitha Rajaram1, Alison M Condliffe1, Guilhem J Collier1, Chris S Johns1, Nick D Weatherley1, Ian Sabroe2, and Jim M Wild1 | ||
1University of Sheffield, Sheffield, United Kingdom, 2Sheffield Teaching Hospitals, Sheffield, United Kingdom |
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The ability of hyperpolarised gas MRI to translate into real-world clinical practice is unknown. 129Xe ventilation images were acquired as part of routine care in patients referred from a difficult asthma service, and evaluated by a multi-disciplinary team. Evidence of airways obstruction on MRI can support the use of further treatment, for example in those with normal spirometry and high symptom burden. Well preserved ventilation on MRI alongside poor spirometry and/or symptom control may suggest coexisting breathing control issues or laryngeal disorders. 129Xe MRI can provide additional unique and valuable information in the evaluation of clinical presentations of asthma. |
| 0681
|
12:00
|
Extension of a Diagnostic Model for Pulmonary Hypertension with Hyperpolarized 129Xe Magnetic Resonance Imaging and Spectroscopy |
| Elianna Ada Bier1, Fawaz Alenezi2, Junlan Lu3, Joseph G Mammarappallil4, Bastiaan Driehuys4, and Sudarshan Rajagopal2 | ||
1Biomedical Engineering, Duke University, Durham, NC, United States, 2Division of Cardiology, Department of Medicine, Duke Univeristy, Durham, NC, United States, 3Medical Physics Graduate Program, Duke University, Durham, NC, United States, 4Radiology, Duke University, Durham, NC, United States |
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129Xe dynamic spectroscopy combined with 129Xe gas exchange MRI can detect both pre- and postcapillary pulmonary hypertension (PH). However, reliance on whole lung spectroscopy limits this technique’s ability to detect spatially heterogeneous impacts of PH. For example, the algorithm cannot identify combined pre- and postcapillary PH (CpcPH) and does not currently account for out-of-proportion PH in patients with parenchymal disease. Here we use the recently introduced method of imaging signal oscillations from 129Xe in red blood cells to gain additional insights into 26 subjects who have also undergone right heart catheterization to determine PH status within 2 months of imaging. |
| 0682
|
12:00
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Pulmonary acinar structure and function assessed by hyperpolarized 129Xe stimulated echo NMR |
| Agilo Luitger Kern1,2, Marcel Gutberlet1,2, Frank Wacker1,2, Jens Hohlfeld2,3,4, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3Department of Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany, 4Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany |
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A pulse sequence for hyperpolarized 129Xe NMR based on accumulated stimulated echoes has been implemented. Pairs of 90° pulses are repeatedly irradiated at the frequency of 129Xe in tissue-plasma and the decaying signal transferred to the gas phase is subsequently acquired. A study with healthy volunteers and patients of chronic obstructive pulmonary disease (COPD) has been performed to assess the method’s sensitivity for disease. A significant reduction of initial stimulated echo signal and trend for faster decay are observed in COPD. The proposed method has been demonstrated to be highly sensitive for emphysema and hyperinflation and shows promising diagnostic potential. |
| 0683
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12:00
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Hyperpolarized 129Xe MRI Ventilation Texture Features to Characterize Long-haul COVID-19 Survivors |
| Harkiran K Kooner1, Marrissa J McIntosh1, Maksym Sharma1, Alexander M Matheson1, Yasal Rajapaksa1, Inderdeep Dhaliwal2, Michael Nicholson2, and Grace Parraga1 | ||
1Robarts Research Institute, Western University, London, ON, Canada, 2Department of Medicine, Western University, London, ON, Canada |
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Persistent, long-term COVID-19 symptoms and pulmonary function abnormalities, beyond the acute infectious pulmonary disease phase, is now recognized in certain patients and referred to as long-haul or long COVID. We used hyperpolarized 129Xe MRI ventilation defect percent (VDP) and texture analysis to evaluate and characterize second-order 129Xe MRI ventilation texture features in a pilot study of participants with long-haul COVID-19. We observed statistically significant differences in 129Xe MRI VDP and ventilation texture features between COVID-19 survivors and volunteers who were not infected. Second-order 129Xe MRI ventilation texture features dichotomized long-haul COVID-19 and volunteers in the absence of qualitative VDP differences. |
| 0684
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12:00
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Preclinical Hyperpolarized 129Xe Ventilation Imaging Using 3D Spiral (FLORET) Encoding |
| Brice J Albert1, Peter J Niedbalski1, and Zackary I Cleveland1,2,3,4 | ||
1Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Department of Pediatrics, University of Cincinnati Medical Center, Cincinnati, OH, United States, 4Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States |
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Center-out trajectories are often used in preclinical HP gas MRI to reduce the impact of physiological motion and magnetization decay on image quality. Recently, implementation of 3D spiral (FLORET) imaging for human 129Xe ventilation imaging demonstrated higher accuracy in detecting ventilation abnormalities than traditional sequences. Here we show FLORET sequences provide superior SNR, consume less xenon, and reduce scan time by more than five times when used to image ventilation in mice. |
| 0685 | 12:00
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Myofiber strain in healthy humans using cDTI and Cine DENSE MRI |
| Kevin Moulin1,2,3, Pierre Croisille4,5, Magalie Viallon4,5, Ilya A Verzhbinsky6, Luigi E Perotti7, and Daniel B Ennis1,2,3 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Cardiovascular Institute, Stanford University, Stanford, CA, United States, 4University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Saint-Etienne, France, 5Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France, 6Medical Scientist Training Program, University of California - San Diego, La Jolla, CA, United States, 7Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States |
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Despite the importance of myofiber strain (Eff) to overall heart function, it has remained very difficult to measure Eff in vivo owing to the challenges of measuring both microstructural and functional cardiac data. We propose a new method that integrates cDTI and a volume of short- and long-axis DENSE slices with 2D displacement encoding to enable the measurement of in vivo Eff in humans. The accuracy of the approach for measuring Eff was evaluated in silico. Finally, in vivo Eff values were measured and reported for thirty (N=30) healthy volunteers for which an average Eff=-0.14 was found. |
| 0686 | 12:00
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Feasibility of creatine chemical exchange saturation transfer (CEST) imaging in evaluating cardiac dysfunction in acute infarct heart |
| Yin Wu1, Jie Liu1, Qi Liu2, Hui Liu2, Jian Xu2, Yuanwei Xu3, Yucheng Chen3, Xin Liu1, and Hairong Zheng1 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2United Imaging Healthcare America, Houston, TX, United States, 3Cardiology Division, West China Hospital, Sichuan University, Chengdu, China |
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This study aims to investigate the feasibility of creatine (Cr) CEST imaging in assessing cardiac contractile function impairment. Eleven MI pigs underwent cine, Cr CEST and LGE imaging at 3T. Significant reduction of Cr CEST and function indices (i.e., CS, RS, WT and WM) was shown in infarct myocardium compared to that in the remote region. Cardiac function indices were shown to decrease with Cr CEST signal with moderate correlations (P<0.001). The study demonstrated the intrinsic linkage between creatine metabolic and functional changes in MI heart, suggesting the feasibility of Cr CEST in evaluating cardiac dysfunction at the molecular level. |
| 0687
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12:00
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Probing Human Myocardial Krebs Cycle Metabolism and Response to Glucose Challenge using Hyperpolarized [2-13C]Pyruvate MR Spectroscopy |
| Hsin-Yu Chen1, Jeremy W. Gordon1, Nicholas Dwork1, Brian T. Chung1, Andrew Riselli2, Robert A. Bok1, James B. Slater1, M. Roselle Abraham3, Daniel B. Vigneron1, and Peder E.Z. Larson1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2School of Pharmacy, University of California, San Francisco, San Francisco, CA, United States, 3Department of Medicine-Cardiology, University of California, San Francisco, San Francisco, CA, United States |
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This study explored the safety and feasibility to visualize real-time myocardial Krebs cycle energetics in healthy volunteers using hyperpolarized [2-13C]pyruvate MR spectroscopy, and to investigate the response to oral glucose challenge. Identified metabolic products included [2-13C]lactate, Krebs cycle-related intermediate [5-13C]glutamate, and [1-13C]acetylcarnitine, a key player in the “carnitine shuttle” of mitochondrial fatty acid oxidation. Upon oral glucose challenge, the levels of all three products increased, illustrating the metabolic flexibility of human heart to switch between fatty acid and carbohydrates. |
| 0688
|
12:00
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Single-shot model-based non-rigid motion-corrected T1 rho mapping for endogenous assessment of myocardial injury |
| Aurelien Bustin1,2,3, Soumaya Sridi2, Solenn Toupin4, Jerome Yerly3,5, Davide Piccini3,6, Ruud B van Heeswijk3, Pierre Jaïs1,7, Hubert Cochet1,2, and Matthias Stuber1,3,5 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, 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, 4Siemens Healthcare France, Saint-Denis, France, 5Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 6Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 7Department of Cardiac Electrophysiology, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France |
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Magnetic resonance T1 rho mapping may detect myocardial injuries without the need for exogenous contrast agents. However, multiple and differently T1 rho weighted co-registered acquisitions are required, and the lack of robust motion correction limits its clinical translation. This study introduces a novel automated model-based non-rigid motion correction technique for myocardial T1 rho mapping that makes use of the known signal model to drive the motion correction process. The performance, efficiency and clinical feasibility of the developed framework was investigated prospectively in a cohort of 30 patients with a broad range of ischemic and non-ischemic cardiomyopathies. |
| 0689
|
12:00
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Characterization of Cardiac Amyloidosis using Cardiac Magnetic Resonance Fingerprinting: Preliminary Results |
| Brendan L Eck1, Nicole Seiberlich2, Scott D Flamm1,3, Jesse I Hamilton2, Mazen Hanna3, Yash Kumar4, Abhilash Suresh3, Angel Lawrence1,3, W. H. Wilson Tang3, and Deborah Kwon3 | ||
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Radiology, University of Michigan, Ann Arbor, MI, United States, 3Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, United States, 4Case Western Reserve University, Cleveland, OH, United States |
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Cardiac amyloidosis is an infiltrative cardiomyopathy characterized by the accumulation of misfolded proteins in the myocardium. Elevated myocardial T1 and T2 have been reported as a potential biomarker of disease. Cardiac Magnetic Resonance Fingerprinting (cMRF) has the potential to provide improved tissue characterization for cardiac amyloidosis through simultaneous T1 and T2 mapping. Furthermore, signal evolutions obtained by cMRF may enable improved tissue characterization. In this preliminary study of cardiac amyloidosis patients, relaxometric quantities and signal evolution data are analyzed. Myocardial T1 and T2 were elevated in patients, and linear discriminant analysis of signal evolution data suggests improved discrimination of disease. |
| 0690
|
12:00
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3D Whole-ventricle, Free-Breathing, Non-ECG, T1-T2-B1+ Mapping and Cine Imaging with Cardiac MR Multitasking |
| Xianglun Mao1, Fardad M Serry1, Sen Ma1, Zhehao Hu1,2, Alan C Kwan1,3, Fei Han4, Yibin Xie1, Debiao Li1,2, and Anthony G Christodoulou1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California in Los Angeles, Los Angeles, CA, United States, 3Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Siemens Medical Solutions Inc., Los Angeles, CA, United States |
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Conventional cardiovascular MR (CMR) exams are relatively inefficient and demanding for patients because 1) they rely on methods that necessitate breath-holding or intermittent pauses (via gating) to compensate for motion, 2) images are acquired as a series of 2D slices often with large gaps. We propose a single 3D free-breathing acquisition without ECG requirements, providing motion resolved, quantitative T1 and T2 cine mapping with whole-ventricle coverage with high resolution and no slice gaps. The 3D Multitasking framework additionally incorporates a B1+ component, critical for accurate T1 measurement at 3T. This technique is preliminarily validated both in phantoms and healthy volunteers. |
| 0691
|
12:00
|
Simultaneous T1, T2 and T1ρ cardiac Magnetic Resonance Fingerprinting for Contrast-free Myocardial Tissue Characterization |
| Carlos Velasco1, Gastao Cruz1, René M. Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Cardiac Magnetic Resonance Fingerprinting (MRF) has shown promising results for myocardial fibrosis and inflammation characterization. In addition, T1ρ mapping has shown promising results for detection of focal and diffuse myocardial fibrosis without the need of exogenous contrast agents. However, multiparametric T1, T2 and T1ρ mapping requires sequential acquisitions under several breath-holds, that can lead to non-registered maps and bias due to inter-parameter dependencies. In this work we propose a cardiac MRF acquisition scheme for simultaneous quantification of myocardial T1, T2 and T1ρ in a contrast-free single breath-hold MR scan. The proposed approach has been investigated in phantoms and healthy subjects. |
| 0692 | 12:00
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Fast high-resolution isotropic whole-heart T2 mapping using focused navigation |
| Simone Rumac1, Christopher W. Roy2, Jérôme Yerly2,3, John Heerfordt2,4, Davide Piccini2,4, Matthias Stuber3,5, and Ruud B. van Heeswijk2 | ||
1Department of Radiology, Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Laus, Lausanne, Switzerland, 2Department of Radiology, Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, Lausanne, Switzerland, 3CIBM Center for BioMedical Imaging, Lausanne, Switzerland, Lausanne, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, Lausanne, Switzerland, 5Department of Radiology, Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland |
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Cardiac parametric mapping techniques are gaining traction for the clinical routine assessment of various pathologies. Despite the complex 3D patterns of many myocardial conditions, most current techniques are breath-held single-slice 2D acquisitions. We propose a free-breathing high-resolution isotropic 3D T2 mapping technique for the heart where breathing motion is corrected in k-space before image reconstruction. In 4 healthy volunteers and one patient with myocardial infarction, we found that our technique produced sharp and accurate T2 maps but had slightly lower precision than routine techniques. |
| 0693
|
12:00
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Single breath-holding three-dimensional cardiac T2 mapping with low-rank plus sparsity reconstruction |
| Dongyue Si1, Shuo Chen1, Daniel A. Herzka2, and Haiyan Ding1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Three-dimensional (3D) T2 mapping techniques enables quantitative detection of edematous tissue with whole heart coverage. However, the intrinsically long scan time limits its clinical application. In this study an accelerated 3D T2 mapping sequence was developed based on low-rank plus sparsity reconstruction. Both retrospective and prospective experiments were performed to evaluate the accuracy and precision of the proposed method. Achieved image quality was comparable with 4 times acceleration. Homogeneous whole left ventricular T2 map can be acquired in single breath-hold with resolution of 2×2×5 mm3. |
| 0694
|
12:00
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Comparison of free-breathing self-gated continuous IR spiral T1 mapping: dual flip angle versus Bloch-Siegert B1-corrected techniques |
| Ruixi Zhou1, Daniel S. Weller2, Yang Yang3, Junyu Wang1, John P. Mugler4, and Michael Salerno5 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States, 3Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Radiology, Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 5Cardiology, Radiology, Biomedical Engineering, University of Virginia, Charlottesville, VA, United States |
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We propose a technique to acquire accurate B1 and T1 maps in a free-breathing cardiac self-gated continuous Look-Locker, inversion-recovery acquisition. Data are acquired using a single spiral interleaf, rotated by the golden-angle in time. During the first 2 seconds, off-resonance Fermi pulses are applied to generate a Bloch-Siegert shift B1 map, and the later data are acquired with an inversion RF pulse applied every four seconds to create T1* map. The final T1 map is generated with the B1 map and T1* map by using a look-up table to account for slice profile effects yielding more accurate T1 values. |
| 0695 | 12:00
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Microstructural mapping with diffusion-time dependent diffusion MRI improves diagnosis of prostate cancer at 3T |
| Dan Wu1, Kewen Jiang2, Yi-Cheng Hsu3, Yi Sun3, Yi Zhang1, and Yudong Zhang2 | ||
1Biomedical Engineering, Zhejiang University, Hangzhou, China, 2Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China |
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Diffusion-time-dependent diffusion MRI (dMRI) has shown potentials in characterizing tumor microstructure. This study investigated the diagnostic value of time-dependent dMRI to differentiate prostate cancer pathological grades at 3T. Oscillating and pulsed gradient dMRI was performed in 55 patients, and the data were fitted with the IMPULSED model to estimate cell diameter, intracellular fraction, cellularity, and diffusivities. We found fin and cellularity increased as Gleason score increased, while diameter and Dex decreased. Cellularity achieved the highest diagnostic accuracy with an accuracy of 0.87 and area-under-the curve of 0.96, and the combination of cellularity and ADC further improved the accuracy to 0.91. |
| 0696
|
12:00
|
Leveraging a multicompartmental signal model for improved classification of prostate-cancer bone metastases in whole-body DWI |
| Christopher C Conlin1, Christine H Feng2, Leonardino A Digma2, Ana E Rodriguez-Soto1, Joshua M Kuperman1, Dominic Holland3, Rebecca Rakow-Penner1, Tyler M Seibert1,2,4, Anders M Dale1,3,5, and Michael E Hahn1 | ||
1Department of Radiology, UC San Diego School of Medicine, La Jolla, CA, United States, 2Department of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, CA, United States, 3Department of Neurosciences, UC San Diego School of Medicine, La Jolla, CA, United States, 4Department of Bioengineering, UC San Diego Jacobs School of Engineering, La Jolla, CA, United States, 5Halıcıoğlu Data Science Institute, UC San Diego, La Jolla, CA, United States |
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Multicompartmental diffusion modeling shows promise for overcoming the limitations of conventional DWI methods and may help to improve the clinical evaluation of prostate-cancer bone involvement. In this study, we applied multicompartmental modeling to develop an empirical tissue classifier for identifying bone lesions in whole-body DWI. The proposed classifier relates signal contributions from model compartments with lower diffusion coefficients to the likelihood that such contributions are from cancerous tissue. This approach proved effective for detecting metastatic lesions in whole-body DWI data, considerably outperforming a classifier based on conventional ADC values. |
| 0697 | 12:00
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Biomimetic phantoms of impeded diffusion in prostate cancer using lipid nanoparticles |
| Scott D. Swanson1, Thomas L. Chenevert1, Prasad R. Shankar1, Ted Lynch2, and Dariya I. Malyarenko1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 2CIRS, Norfolk, VA, United States |
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PI-RADS guidelines use quantitative mono-exponential apparent diffusion coefficient (ADC) for risk stratification of small potentially aggressive prostate cancer (PCa). Inherently, multi-exponential diffusion in complex tumor microenvironment, limits accuracy of ADC-based thresholds and clinical utility of DWI acquisition protocols. Biomimetic phantoms that provide ground-truth diffusion parameters help establish accuracy of advanced multi-b DWI protocols and parametric diffusion models in prostate tumors. This work demonstrates development of stable phantoms based on lipid nanoparticles that provide diffusion parameter ranges typical of PCa. |
| 0698 | 12:00
|
Evaluate the micro-vascular invasion in HCC with a Fractional Order Calculus DWI Model |
| Xiuzhong Yao1, Yunfei Zhang2, Mengsu Zeng1, and Yongming Dai2 | ||
1Zhongshan Hospital affiliated to Fudan University, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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The determination of micro-vascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) is significant for prognostic prediction. However, histologic assessment is the gold standard for evaluating the MVI, which is accompanied with many disadvantages including invasiveness, potential sampling bias and so forth. DWI MRI has shown clinical potential for assessing the MVI. However, some recently-developed non-gaussian DWI techniques have hardly been applied for predicting the MVI. This research, hence, sought to evaluate the MVI with a Fractional Order Calculus DWI Model (FROC-DWI). The results indicated that FROC-derived parameters were valuable for accurately identifying the MVI in patients with HCC. |
| 0699
|
12:00
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DR-HIGADOS: a new diffusion-relaxation framework for clinically feasible microstructural imaging of the liver |
| Francesco Grussu1, Ignasi Barba2, Kinga Bernatowicz1, Irene Casanova-Salas3, Alba Escriche Villarroya4, Natalia Castro3, Emanuela Greco4, Juan Francisco Corral5,6, Marta Vidorreta7, Manuel Escobar Amores5,6, Núria Roson5,6, Xavier Merino5,6, Richard Mast5,6, Nahúm Calvo‐Malvar5,8, Joaquin Mateo3, Paolo Nuciforo9, María Abad4, Josep R. Garcia-Bennett8, and Raquel Perez-Lopez1,6 | ||
1Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 2NMR Lab, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 3Prostate Cancer Translational Research Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 4Cellular Plasticity and Cancer Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 5IDI (Institut de Diagnòstic per la Imatge), Catalonia, Spain, 6Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain, 7Siemens Healthineers, Madrid, Spain, 8Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain, 9Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain |
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Liver cancer is a leading cause of cancer-related death, and new quantitative MRI (qMRI) techniques are needed to inform treatment selection and monitor disease progression. We propose a new technique, Diffusion-Relaxation Hepatic Imaging via Generalisable Assessment of DiffusiOn Simulations (DR-HIGADOS), with the aim of improving sensitivity and biological specificity of liver qMRI. DR-HIGADOS is a diffusion-relaxation method that uses information from Monte Carlo simulations to map parameters of an extended intra-voxel incoherent motion model to microstructural indices (e.g. cell size, cellularity). DR-HIGADOS is demonstrated on multi-vendor clinical data, and its histological correlates are investigated on preclinical high-field scans. |
| 0700
|
12:00
|
Ex vivo and In vivo Diffusion Weighted MRI highlights the Microarchitecture of mouse Pancreatic Intraepithelial Neoplasia |
| Carlos Bilreiro1,2, Francisca F Fernandes1, Rui V Simões1, Mireia Castillo-Martin1,3, Andrada Ianus1, Cristina Chavarrias1, Celso Matos1,2, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2Department of Radiology, Champalimaud Clinical Centre, Lisbon, Portugal, 3Department of Pathology, Champalimaud Clinical Centre, Lisbon, Portugal |
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As current therapeutic options for pancreatic cancer are mostly ineffective, developing diagnostic tools for early detection of precursor lesions (mainly pancreatic intraepithelial neoplasia – PanIN) could change the course of this disease. Here, we investigated Diffusion-MRI (dMRI) contrasts for this purpose, using transgenic mouse models. First, we performed ex vivo dMRI Microscopy at ultrahigh field with histological validation, defining the most sensitive contrasts. Then, we performed in vivo abdominal imaging, demonstrating their applicability in the non-invasive study of PanIN and pancreatic cancer. These findings provide new tools for researching PanIN and hold promise for a future translation to clinical practice. |
| 0701 | 12:00
|
Looking Inside a Voxel through the Lenses of Non-Gaussian Diffusion MRI: Correlation between Imaging- and Histology-based Tissue Heterogeneity |
| Muge Karaman1,2, Guangyu Dan1,2, Lingdao Sha3, Tingqi Shi1, Weiguo Li4,5, Dan Schonfeld2,3,6, Tibor Valyi-Nagy7, and X. Joe Zhou1,2,8 | ||
1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States, 4Research Resources Center, University of Illinois at Chicago, Chicago, IL, United States, 5Department of Radiology, Northwestern University, Chicago, IL, United States, 6Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States, 7Department of Pathology, University of Illinois at Chicago, Chicago, IL, United States, 8Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Studies on tissue structural heterogeneity have been the focus of a growing number of non-Gaussian diffusion models, such as the continuous-time random-walk (CTRW) model. Establishing a correlation between the voxel-level CTRW parameters and the microscopic tissue heterogeneity from gold-standard histology, however, has been challenging due to the lack of quantitative measure of histopathological heterogeneity and different spatial scales. We establish a one-to-one correspondence between imaging-based tissue heterogeneity revealed by CTRW parameters and histology-based tissue structural heterogeneity predicted by a machine-learning classifier to address an overarching question: “Can we look inside a voxel noninvasively through the lenses of the CTRW model?”. |
| 0702 | 12:00
|
Diffusion MRI study of chemoradiation treatment response in patients with HPV positive oropharyngeal carcinoma |
| Sungheon Gene Kim1, Mehran Baboli1, Justin Fogarty2, Steven H. Baete2, Joseph Kim3, Paulina Galavis3, Moses Tam3, Kenneth Hu3, and Elcin Zan2 | ||
1Radiology, Weill Cornell Medical College, New York, NY, United States, 2Radiology, New York University School of Medicine, New York, NY, United States, 3Radiation Oncology, New York University School of Medicine, New York, NY, United States |
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In this study, we evaluated diffusion and kurtosis time-dependence for HPV-positive oropharyngeal squamous cell carcinoma before and during chemo-radiation treatment over a wide range for longer diffusion times (200-700 ms). The patients with less than 40% nodal volume shrinkage had significantly higher diffusivity at pretreatment and lower kurtosis at week4 than the patients with more than 40% nodal volume shrinkage. The water exchange times were 68-80 ms without a significant difference between the groups. This study demonstrates the feasibility of using diffusion MRI at relatively long diffusion times to predict and evaluate the response to chemo-radiation therapy. |
| 0703 | 12:00
|
Relating tumor site-specific volume and ADC changes following neoadjuvant chemotherapy to histopathology in epithelial ovarian cancer |
| Jessica M Winfield1,2, Jennifer C Wakefield1,2, James D Brenton3,4,5, Khalid AbdulJabbar6,7, Antonella Savio8, Susan Freeman9, Erika Pace1,2, Kerryn Lutchman-Singh10, Katherine M Vroobel8, Yinyin Yuan6,7, Susana Banerjee11, Nuria Porta12, Shan E Ahmed Raza6,7,13, and Nandita M deSouza1,2 | ||
1MRI Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, 3Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, 4Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 5Department of Oncology, University of Cambridge, Cambridge, United Kingdom, 6Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom, 7Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom, 8Department of Pathology, Royal Marsden NHS Foundation Trust, London, United Kingdom, 9Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 10Swansea Gynaecological Oncology Centre, Swansea Bay University Health Board, Singleton Hospital, Swansea, United Kingdom, 11Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 12Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom, 13Department of Computer Science, University of Warwick, Warwick, United Kingdom |
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In Epithelial Ovarian Cancer, ADCmedian demonstrates good repeatability at both primary and metastatic sites. After neoadjuvant chemotherapy, a differential increase in ADCmedian at disease sites is seen despite similar tumor shrinkage. The negative correlation between ADCmedian and tumor cell fraction after neoadjuvant chemotherapy, and positive correlation between change in ADCmedian and percentage necrosis, are driven primarily by changes in the peritoneal lesions. |
| 0704 | 12:00
|
Endometrial Carcinoma: Assessment of Histological Features Based on Amide Proton Transfer-weighted Imaging and Diffusion Kurtosis Imaging |
| Nan Meng1, Zhun Huang2, Ting Fang1, Pengyang Feng2, Xuejia Wang3, Dongming Han3, Kaiyu Wang4, and Meiyun Wang*1 | ||
1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of MRI, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China, 4GE Healthcare, MR Research China, BeiJing, China |
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Our results showed that both Amide proton transfer-weighted imaging (APTWI) and Diffusion kurtosis imaging (DKI) were effective in the assessment of endometrial carcinoma in terms of clinical type, histological grade, subtype, and Ki-67 index. |
| 0705 | 12:00
|
Characterization of placental contractions in healthy pregnancies |
| Neele S Dellschaft1, Rachel Allcock1, Jana Hutter2, Lopa Leach3, Nia Jones4, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Department of Perinatal Imaging and Health, King's College London, London, United Kingdom, 3Life Sciences, University of Nottingham, Nottingham, United Kingdom, 4Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham, United Kingdom |
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Subclinical uterine contractions in the third trimester have been detected with MRI in recent years and we regularly observe these contractions in 10 minute longitudinal scans. We have recently described how placental pump contractions differ from Braxton Hicks contractions, as defined by a reduction in placental volume. In this study, we have observed in detail the effects of 18 contractions on longitudinal single echo-planar imaging T2* weighted scans. |
| 0706
|
12:00
|
Volumetric fetal flow imaging with rapid multislice multidimensional radial phase contrast MRI |
| Datta Singh Goolaub1,2, Jiawei Xu3, Eric Schrauben4, Davide Marini5, Mike Seed5,6, and Christopher Macgowan1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 3Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, Canada, 4Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 5Pediatric Cardiology, The Hospital for Sick Children, Toronto, ON, Canada, 6Department of Pediatrics, University of Toronto, Toronto, ON, Canada |
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In this study, we demonstrate multidimensional fetal blood flow visualization and quantification, using highly accelerated multislice radial phase contrast MRI with slice-to-volume reconstruction. This acquisition and analysis pipeline provides real-time reconstructions for in-plane motion correction and cardiac gating for subsequent CINE reconstruction. CINEs are combined into a dynamic flow sensitive volume using slice-to-volume reconstruction with interslice motion correction. Experimental validation is presented in two adult volunteers. Feasibility is demonstrated in four human fetuses capturing complex hemodynamics in the fetal circulation. |
| 0707
|
12:00
|
Longitudinal Placental Blood Volume Measurements on Zika-Infected Rhesus Macaques Using Variable Flip Angle T1 Mapping |
| Ruiming Chen1, Sydney Nguyen2,3,4, Megan E. Murphy2,3,4, Kathleen M. Anthony2,3,4, Terry K. Morgan5, Philip Corrado1, Sean B. Fain1,6, Dinesh M. Shah7, Ronald R. Magness8, Thaddeus Golos2,3,4, Oliver Wieben1,6,9, and Kevin M. Johnson1,9 | ||
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, 5Pathology, Oregon Health & Science University, Portland, OR, United States, 6Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 7Obstetrics and Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 8Obstetrics and Gynecology, University of South Florida, Tampa, FL, United States, 9Radiology, University of Wisconsin - Madison, Madison, WI, United States |
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Adequate maternal blood supply is an important factor to maintain placental health, and placenta vascular markers may be predictive of pregnancy outcomes. Here, we report longitudinal quantitative results of maternal fractional, regional, and total blood volume measurements in rhesus macaque placenta across gestation ages using Ferumoxytol-enhanced variable flip angle (VFA)-T1 mapping. We observe regional heterogeneity in fractional blood volume and increased maternal placental blood volume throughout pregnancy. |
| 0708
|
12:00
|
Velocity-Selective Arterial Spin Labeling Perfusion Measurements in 2nd Trimester Human Placenta with Varying BMI |
| Daniel Seiter1, Ruiming Chen1, Kai Ludwig1, Ante Zhu2, Dinesh Shah3, Oliver Wieben1,4, and Kevin Johnson1,4,5 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2GE Global Research, Niskayuna, NY, United States, 3Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, United States, 4Radiology, University of Wisconsin-Madison, Madison, WI, United States, 5Biomedical Engineering, University of Madison-Wisconsin, Madison, WI, United States |
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Proper placental development is crucial to fetal health. To the best of our knowledge, we report the earliest measurement of perfusion in the human placenta using velocity-selective arterial spin labeling (VS-ASL) MRI. Patients were scanned at 14- and 20-weeks gestation (term is 40 weeks) and clinical data was collected. Regression analysis shows no evidence for an increase in placental perfusion with gestational age, but strong evidence of an increase in perfusion with patient body mass index (BMI). |
| 0709
|
12:00
|
Detecting abnormal placental microvascular flow based on flow-compensated and non-compensated intravoxel incoherent motion imaging |
| Yuhao Liao1, Taotao Sun2,3, Ling Jiang2,3, Zhiyong Zhao1, Tingting Liu1, Zhaoxia Qian2,3, Yi Sun4, Yi Zhang1, 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, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 3Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China, 4MR Collaboration, Siemens Healthcare China, Shanghai, China |
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Intravoxel Incoherent Motion (IVIM) imaging has been used to assess placental microcirculatory flow for prenatal examination. Here we proposed a joint analysis of flow-compensated (FC) and non-compensated (NC) diffusion MRI to estimate the fraction and velocity of ballistic microcirculatory flow, and evaluated the diagnostic performance of the new IVIM markers in maternal and fetal disorders. We found the flow velocity measurement from FC-NC joint model could differentiate patients with maternal hyperglycemia and fetal growth restriction compared to the controls, while the conventional IVIM parameters based on bi-exponential model using FC-only or NC-only data could not show the group difference. |
| 0710 | 12:00
|
Comparison of Pure Deep Learning Approaches for Placental Extraction from Dynamic Functional MRI sequences between 19 and 37 Gestational Weeks. |
| Bryan Quah1, Anna Dong1, Neil Rao1, Patrick Hoang1, Michael Hirano1, Manjiri K. Dighe1, and Colin Studholme1 | ||
1University of Washington, Seattle, WA, United States |
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We present fully automated deep learning approaches to placental tissue segmentation on our dataset of 68 3D R2* images. Using this dataset, we employ different data schemes to get 4 new datasets consisting of full 3D images, full 2D slices, 3D patches and 2D patches. An unmodified U-Net architecture is trained and tested on these datasets to evaluate the robustness of the model when presented with different data. We find that by artificially increasing the size of the dataset, the model is able to perform better at the segmentation task. |
| 0711 | 12:00
|
APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation |
| Maximilian Pietsch1, Alison Ho2, Alessia Bardanzellu1, Aya Zeydan1, Joseph V Hajnal3, Lucy Chappell2, Mary A Rutherford3, and Jana Hutter1,4 | ||
1Centre for Medical Engineering, King's College London, London, United Kingdom, 2Women's Health, King's College London, London, United Kingdom, 3King's College London, London, United Kingdom, 4Centre for the Developing Brain, King's College London, London, United Kingdom |
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The placenta is key for any successful pregnancy. Deviations from the normal dynamic maturation throughout gestation are closely linked to major pregnancy complications. Automatic segmentation and age prediction based on a 30sec MRI T2* scan is enabled and evaluated in >100 pregnancies. High abnormality scores correlate with low birth weight, premature birth and histopathological findings. Retrospective application on a different cohort imaged at 1.5T illustrates the ability for direct clinical translation. The proposed machine-learning pipeline runs in close to real-time and, deployed in clinical settings, has the potential to become a cornerstone of diagnosis and intervention of placental insufficiency. |
| 0712
|
12:00
|
Quantifying Placental Structure and Function in Healthy and Compromised Pregnancies with Combined T2*-diffusion |
| Paddy J. Slator1, Jana Hutter2,3, Razvan V. Marinescu1, Marco Palombo1, Laurence Jackson2,3, Alison Ho4, Lucy C Chappell4, Mary Rutherford2, Joseph V Hajnal2,3, and Daniel Alexander1 | ||
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical 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, 4Women’s Health Department, King's College London, London, United Kingdom |
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We quantify placental structure and function across gestation using a combined T2*-diffusion protocol and InSpect, a data-driven approach for quantitative MRI analysis. We identify and map seven distinct placental tissue environments, and show that these environments are related to dysfunction. Our approach shows promise for diagnosis and monitoring of pregnancy complications. |
| 0713 | 12:00
|
Continuous 4D atlas of normal fetal lung development and automated CNN-based lung volumetry for motion-corrected fetal body MRI |
| Alena Uus1, Irina Grigorescu1, Aditi Shetty1, Alexia Egloff Collado2, Joseph Davidson3,4, Milou van Poppel1,5, Johannes Steinweg2, Lisa Story2, Michael Aertsen6,7, Jan Deprest8, Jim Carmichael9, Joseph V Hajnal1,2, Mary Rutherford2, and Maria Deprez1 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Prenatal Cell and Gene Therapy, Elizabeth Garrett Anderson Institute of Women’s Health, University College London, London, United Kingdom, 4Stem Cells and Regenerative Medicine, GOS-UCL Institute of Child Health, London, United Kingdom, 5Department of Congenital Heart Disease, Evelina Children’s Hospital, London, United Kingdom, 6Department of Radiology, University Hospitals Leuven, Leuven, Belgium, 7Department of Imaging and Pathology, Biomedical Sciences, KU Leuven, Leuven, Belgium, 8Department of Obstetrics, University Hospitals KU Leuven, Leuven, Belgium, 9Paediatric Radiology, Evelina London Children’s Hospital, London, United Kingdom |
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This work presents a continuous 4D atlas of fetal lung development within 22-32 weeks gestational age (GA) generated from ~130 motion-corrected fetal body MRI datasets. The corresponding growth charts for fetal MRI lung indices are used for definition of the of normal ranges. In addition, we implemented and evaluated an automated method for fetal lung volumetry based on 3D UNet segmentations. |
| 0714 | 12:00
|
Automatic fetal ocular measurements in MRI |
| Netanell Avisdris1,2, Daphna Link-Sourani2, Liat Ben-Sira3,4,5, Leo Joskowicz1, Elka Miller6, and Dafna Ben-Bashat2,3,5 | ||
1School of computer science and engineering, Hebrew University of Jerusalem, Jerusalem, Israel, 2Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 5Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 6Medical Imaging, Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada |
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The aim of this study was to establish a fully automatic method for ocular measurements from in-vivo fetal brain MRI. Axial brain MRI of 47 fetuses (29-38 weeks’ gestational age) were included. The method includes fetal brain ROI computation and fetal eye segmentation using deep learning, followed by geometric algorithms for 2D and 3D measurements of the binocular (BOD), interocular (IOD), and ocular (OD) diameters. The performance of the 2D measurements was found to be preferable over 3D, with <1mm deviation from manual expert neuro-radiologist annotations. This is the first fully automatic method for fetal ocular biometric measurements in MRI. |
| 0715 | 12:00
|
Dynamic GlucoCEST MRI: results in primary brain tumors at 3 Tesla |
| REGIS OTAVIANO FRANCA BEZERRA1, Hae Won Lee2, Gustavo Kaneblai3, Eduardo Figueiredo3, Mitsuharu Miyoshi4, Thomas Doring3, Claudia da Costa Leite5, Giovanni Guido Cerri2, and Frederico Perego Costa6 | ||
1RADIOLOGY, HOSPITAL SÍRIO-LIBANÊS, SAO PAULO, Brazil, 2Radiology, Hospital Sírio-Libanês, Sao Paulo, Brazil, 3General Eletric, Sao Paulo, Brazil, 4General Eletric, Tokyo, Japan, 5RADIOLOGIA, HOSPITAL SÍRIO-LIBANÊS, SAO PAULO, Brazil, 6Oncology, Hospital Sírio-Libanês, Sao Paulo, Brazil |
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This study shows the glucoCEST effect in 15 patients with primary malignant brain tumors compared with normal white matter(NWM) at 3-Tesla-MRI. The procedure included a full Z-spectra CEST and a dynamic glucoCEST. The signal % at 2 ppm calculated using mean asymmetric magnetization transfer ratio values were significantly higher in the whole cancer compared to NWM. Similarly, the dynamic glucoCEST presented as mean area-under-the-curve values were significantly different in whole cancer in comparison to normal tissue. This method, using clinical field strength of 3Tesla, was capable of identifying distinct patterns of glucose metabolismand also heterogeneity in the cancer metabolism |
| 0716 | 12:00
|
Confounding of Macromolecular and Paramagnetic Tissue Content in Quantitative MTI Remedied by Explicit Estimation of Bound Pool Relaxation |
| Alexey Samsonov1 and Aaron S. Field1 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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We study the effect of macromolecular proton fraction (MPF) and R1 interdependency in quantitative MT experiments. We hypothesize that the two-pool model with properly calibrated relaxation constraints on the bound proton pool can separate interdependency of both metrics, potentially improving the specificity of both, specifically, MPF to macromolecular content and R1 to paramagnetic ions. The simulation and in vivo results support feasibility of such refinement. |
| 0717 | 12:00
|
Improved volumetric inhomogeneous magnetization transfer (ihMT) using a CSF-suppressed FSE sequence (FLAIR-ihMT) |
| Manuel Taso1, Fanny Munsch1, Olivier M Girard2, Guillaume Duhamel2, David C Alsop1, and Gopal Varma1 | ||
1Division of MRI research, Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2CRMBM, Aix-Marseille Univ, CNRS, Marseille, France |
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3D myelin imaging using inhomogeneous magnetization transfer (ihMT) has seen increased interest as sequence implementations evolve. This has mostly been based on prepared or pseudo-steady-state gradient echo sequences. However, Fast-Spin-Echo (FSE) sequences should have a theoretical SNR advantage over GRE. Here we report implementation of a CSF-suppressed FSE sequence for ihMT imaging (FLAIR-ihMT), exploring through simulations the effect of CSF suppression and providing first imaging results, highlighting the benefits of CSF suppression, potential for whole brain high-resolution imaging and translation down to the spinal cord. |
| 0718
|
12:00
|
Inhomogeneous magnetization transfer in the healthy adult brain: reproducibility and correlation with MTR and myelin water imaging |
| Sarah Rosemary Morris1,2,3, Irene M. Vavasour1,4, Anastasia Smolina5,6, Erin MacMillan4,7, Guillaume Gilbert7, Michelle Lam2,4, Piotr Kozlowski1,2,4,8, Carl Michal2, Alan Manning2, Alex L. MacKay1,2,4, and Cornelia Laule1,2,4,8,9 | ||
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 4UBC MRI Research Centre, Vancouver, BC, Canada, 5Physics & Astronomy, McMaster University, Hamilton, ON, Canada, 6Hospital for Sick Children, Toronto, ON, Canada, 7MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada, 8International Collaboration on Repair Discoveries (ICORD), Vancouver, BC, Canada, 9Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada |
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We compared three myelin-sensitive MRI metrics (inhomogeneous magnetization transfer ratio (ihMTR), magnetization transfer ratio (MTR) and gradient and spin echo-derived myelin water fraction (MWF)) in 15 white matter regions of interest from 14 healthy adults at 3T. Reproducibility of ihMTR was also investigated. We found a moderately strong correlation between MWF and ihMTR but only a very weak correlation between MWF and MTR. Myelination rankings were similar for ihMTR and MWF but had no relation to MTR. Finally, we established an average ihMTR scan-rescan variability of 8.2% of the mean in each ROI. |
| 0719 | 12:00
|
GluCEST as an in vivo biomarker for monitoring abnormal glutamate dehydrogenase activity in Hyperinsulinism/Hyperammonemia syndrome at 7.0T |
| Ravi Prakash Reddy Nanga1, Elizabeth A Rosenfeld2, Deepa Thakuri1, Mark Elliott1, Ravinder Reddy1, and Diva D De Leon2 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA, United States |
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Hyperinsulinism/Hyperammonemia (HI/HA) syndrome is an orphan disease characterized by fasting and protein-induced hypoglycemia, hyperammonemia, and has high prevalence of epilepsy, developmental delays, and learning disabilities. Understanding the mechanism involved in brain phenotype remains limited. We have previously shown the application of glutamate weighted chemical exchange saturation transfer (GluCEST) imaging in small set of subjects to spatially map the glutamate levels of hippocampus. In this study we have expanded the human subject pool for studying the abnormal function of glutamate dehydrogenase (GDH) enzyme activity with HI/HA syndrome. |
| 0720 | 12:00
|
CEST Imaging of Nose-to-Brain Drug Delivery using Iohexol liposomes at 3T |
| Lok Hin LAW1, Peng XIAO1, Jianpan Huang1, Xiongqi HAN1, and Kannie WY CHAN1,2,3 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3City University of Hong Kong Shenzhen Research Institute, Shenzhen, China |
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Imaging-guided nose-to-brain drug delivery provide a non-invasive monitoring of drug delivery to brain, which increases effective dose via bypassing Blood-Brain-Barrier(BBB). Here, we investigated imaging of nanomedicine delivery via intranasal-administration using CEST-detectable mucus-penetrating-liposome(with 10%PEG). Liposomes were loaded with Iohexol(Ioh-Lipo) and CEST properties were examined both in-vitro and in-vivo by injecting into mouse nostril. Ioh-Lipo generated CEST contrast of 33.4% at 4.3 ppm in-vitro. which was also observed in nostril, olfactory-bulb and frontal-lobe after intranasal-administration at 3T. We demonstrated the liposomes detectability both in nostril and olfactory-bulb by CEST. The result demonstrates an approach for imaging-guided Nose-to-Brain Intranasal Liposomal Drug Delivery. |
| 0721 | 12:00
|
Peritumoral radiomics features from amide proton transfer-weighted MRI unveil the progressive pattern in early recurrent malignant gliomas |
| Shanshan Jiang1, Pengfei Guo2, Hye Young Heo1, Peter van Zijl1,3, and Jinyuan Zhou1 | ||
1Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Assessing post-treatment malignant gliomas early has remained one of the most critical dilemmas in neuro-oncology for three decades. Amide protein transfer weighted (APTw) MRI has been validated to accurately detect recurrent malignant gliomas in more and more studies. The peritumoral area, as the one of the most aggressive regions, has been seldom studied. Here, we explore radiomics features extracted from peritumoral areas on APTw images to unveil the progressive pattern in early recurrent malignant gliomas. Our results suggest that the use of APTw radiomic features can add important value to structural MRI to assess the treatment response. |
| 0722
|
12:00
|
Deuterium metabolic imaging of tumor burden and response to therapy in mutant IDH gliomas in vivo |
| Celine Taglang1, Georgios Batsios1, Mers Tran1, Anne Marie Gillespie1, Hema Artee Luchman2, Russell O Pieper3, Sabrina M Ronen1, and Pavithra Viswanath1 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Cell Biology and Anatomy, University of Calgary and Hotchkiss Brain Institute, Calgary, AB, Canada, 3Neurological Surgery, University of California San Francisco, San Francisco, CA, United States |
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2H-magnetic resonance spectroscopy (MRS) recently emerged as a novel, non-invasive method of monitoring metabolic fluxes in high-grade glioblastomas in vivo. However, its utility for imaging low-grade gliomas and for assessing treatment response has not been examined. Here, we show that [6,6’-2H]-glucose metabolism to lactate serves to delineate tumor from contralateral normal brain in mice bearing orthotopic patient-derived low-grade glioma xenografts. Importantly, reduced lactate production from [6,6’-2H]-glucose informs on early response to therapy, at timepoints when volumetric alterations cannot be detected by anatomical imaging, pointing to the ability of [6,6’-2H]-glucose to assess pseudoprogression, which is a major challenge in glioma imaging. |
| 0723 | 12:00
|
CRT-FID-MRSI at 7T for the high-resolution metabolic imaging of epilepsy: Preliminary results |
| Gilbert Hangel1, Philipp Lazen2, Matthias Tomschik1, Jonathan Wais1, Eva Hečková2, Lukas Hingerl2, Stephan Gruber2, Bernhard Strasser2, Gregor Kasprian3, Daniela Prayer3, Julia Furtner3, Christoph Baumgartner4, Johannes Koren4, Robert Diehm5, Martha Feucht5, Christian Dorfer1, Ekaterina Pataraia6, Wolfgang Bogner2, Siegfried Trattnig2,7, and Karl Rössler1 | ||
1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 2High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department of Neurology, Clinic Hietzing, Vienna, Austria, 5Department of Paediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria, 6Department of Neurology, Medical University of Vienna, Vienna, Austria, 7Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria |
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We successfully implemented a fast high-resolution 3D-MRSI protocol covering the whole brain at 7T in a preliminary study of 14 patients with pharmacoresistant epilepsy. With an isotropic resolution of 3.4 mm acquired in 15:30 min, we detected focal metabolic alterations in thirteen patients. From all metabolites, tCr, Glu, mIns and NAA and especially tCho appear as the most relevant markers for detection of focal metabolic alterations in epilepsy. Especially concerning cortical developmental alterations as a cause of epilepsy, our findings may have the potential to differentiate metabolic fingerprints for FCD subclasses. |
| 0724 | 12:00
|
In vivo GABA increase as a biomarker of the epileptogenic zone: an unbiased metabolomics approach |
| Florence Fauvelle1,2, Vasile Stupar1,2, Jia Guo3, Wafae Labriji1, Chen Liu3, Alicia Plaindoux1, Emmanuel Luc Barbier1,2, Sophie Hamelin1, and Antoine Depaulis1 | ||
1Grenoble Institut Neurosciences, University Grenoble Alpes, La Tronche, France, 2IRMaGE, University Grenoble Alpes, La Tronche, France, 3Departement of Psychiatry, Columbia University, New York, NY, United States |
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New non invasive methods are required to better delimit the epileptogenic zone (EZ) during the pre-surgical exam of epileptic patients. By combining ex vivo NMR spectroscopy-based (MRS) untargeted metabolomics and in vivo MRS-based targeted metabolomics, we found that GABA was the most discriminant metabolite of the epileptogenic zone vs adjacent brain regions in a mouse model of mesio-temporal lobe epilepsy (MTLE). GABA appears therefore as a specific in vivo biomarker of EZ in MTLE. |
0:00
|
RF Coils & AI: Improving SNR at ULF | |
| Neha Koonjoo | ||
| Massachusetts General Hospital | ||
0:00
|
In Vivo MRI at 50 mT in a Portable Halbach-Based System | |
| Andrew Webb | ||
| Leiden University | ||
0:00
|
Human-Scale Fast Field-Cycling MRI at the University of Aberdeen | |
| David Lurie | ||
| University of Aberdeen | ||
0:00
|
Embrace the Inhomogeneity for Low-Field MRI | |
| Shaoying Huang | ||
| Singapore University of Technology and Design | ||
0:00
|
High-Contrast Imaging at Low Magnetic Fields | |
| David Waddington | ||
| The University of Sydney | ||
0:00
|
What Is “Good”? Recasting Image Quality as Clinical Utility | |
| Steven Schiff | ||
| Pennsylvania State University | ||
| 0725
|
14:00
|
QSMxT - A cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping |
| Ashley Stewart1,2, Simon Daniel Robinson2,3,4, Kieran O'Brien1,2,5, Jin Jin1,2,5, Angela Walls6, Aswin Narayanan2, Markus Barth1,2,7, and Steffen Bollmann1,2,7 | ||
1Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Australia, 2Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 3High Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department of Neurology, Medical University of Graz, Graz, Austria, 5Siemens Healthcare Pty Ltd, Brisbane, Australia, 6Clinical & Research Imaging Centre, South Australian Health and Medical Research Institute, Adelaide, Australia, 7School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia |
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We developed an open-source QSM processing framework, QSMxT, that provides a full QSM workflow including converting DICOM data to BIDS, a variety of robust masking strategies, phase unwrapping, background field correction, dipole inversion and region-of-interest analyses based on automated anatomical segmentations. We make all required external dependencies available in a reproducible and scalable analysis environment enabling users to process QSM data for large groups of participants on any operating system in a robust way. |
| 0726
|
14:00
|
Physiopy: A community-driven suite of tools for physiological recordings in neuroimaging |
| Katherine Louise Bottenhorn1, Daniel Alcalà-Lopez2, Apoorva Ayyagari3, Molly G Bright4, César Caballero-Gaudes2, Inés Chavarria2, Vicente Ferrer2, Soichi Hayashi5, Vittorio Iacovella6, François Lespinasse7, Ross Davis Markello8, Stefano Moia2, Robert Oostenveld9,10, Taylor Salo1, Rachael Stickland4, Eneko Uruñuela2, Merel Margaretha van der Thiel11, and Kristina M Zvolanek12 | ||
1Department of Psychology, Florida International University, Miami, FL, United States, 2Basque Center on Cognition, Brain and Language, Donostia, Spain, 3Northwestern University, Chicago, IL, United States, 4Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 5Indiana University, Bloomington, IN, United States, 6CIMeC - Center for Mind / Brain Sciences, The University of Trento, Trento, Italy, 7Psychology, Université de Montréal, Montréal, QC, Canada, 8McGill University, Montréal, QC, Canada, 9Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 10NatMEG, Karolinska Institutet, Stockholm, Sweden, 11Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 12Biomedical Engineering, Northwestern University, Chicago, IL, United States |
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Physiopy is a community-driven effort that aims to offer a full data preparation pipeline for non-neural physiological recordings in neuroimaging research and to build consensus on “best practices” among researchers of this specific domain. Its primary goal is to facilitate physiological data collection and sharing, according to an existing data standard and ontology. Corollary goals of the community are to provide recommendations and tools for (1) physiological data acquisition in the MR environment, (2) appropriate processing of these data, (3) organization of resulting datasets and meta-data, and (4) computing metrics for the removal of confounding physiological signals from fMRI data. |
| 0727 | 14:00
|
Across-vendor, inline standardized spectral analysis for single voxel MRS data acquisition at 3T |
| Brian J Soher1, Dinesh K Deelchand2, Sandeep Ganji3, Ralph Noeske4, Adam Berrington5, James Joers2, and Gulin Oz2 | ||
1Radiology, Duke University Medical Center, Durham, NC, United States, 2University of Minnesota, Minneapolis, MN, United States, 3Philips Healthcare, Rochester, MN, United States, 4GE Healthcare, Berlin, Germany, 5University of Nottingham, Nottingham, United Kingdom |
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The minimal spectral analysis methods described by MRS community consensus are not available in manufacturers’ MRS software. MRS data is still transferred off the scanner for advanced analysis leading to more variability in MRS results and impediments for adoption within a clinical DICOM workflow. We describe the Vespa Inline Engine (VIE), a flexible add-in module for the open-source Vespa spectral analysis package. VIE provides equivalent, inline MRS processing on GE, Siemens and Philips platforms. Raw MRS data sent to the VIE analysis returns results to the DICOM workflow as graphical and tabular DICOM images. |
| 0728
|
14:00
|
TIRL: Automating Deformable Slice-to-Volume Registration Between Stand-Alone Histology Sections and Post-Mortem MRI |
| Istvan N Huszar1, Karla L Miller1, and Mark Jenkinson1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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An open-source framework (TIRL) and a novel 3-stage pipeline are presented to automate the registration between sparsely sampled small histology sections and 3-D MRI data for validating imaging biomarkers. In addition to affine registration, deformable slice-to-volume registration is employed to compensate for both in-plane and through-plane distortions of the histology sections. Each stage of the pipeline is shown to achieve submillimetre precise alignments, surpassing the accuracy of previous methods. With photographic intermediaries the pipeline is fully automatic and does not depend on serial histological sectioning or specialist cutting and stain automation hardware. The tools are provided as part of FSL. |
| 0729
|
14:00
|
Open-Source MR Imaging Workflow |
| Marten Veldmann1, Philipp Ehses1, Kelvin Chow2, Maxim Zaitsev3, and Tony Stöcker1,4 | ||
1MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2MR R&D Collaborations, Siemens Medical Solutions USA Inc., Chicago, IL, United States, 3Department of Radiology - Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 4Department of Physics & Astronomy, University of Bonn, Bonn, Germany |
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We demonstrate an open-source MR imaging workflow for MR sequence development and online image reconstruction. The open-source approach improves vendor-independent reproducibility of new or modified MR sequences and reconstruction algorithms. An extensible online reconstruction pipeline allows for fast evaluation of the acquired data on the scanner directly. The pipeline supports implementation of advanced open-source image reconstruction techniques and is not restricted to a specific sequence. We successfully implemented an open-source spiral sequence with Pulseq for execution at a 7T MR scanner. A non-Cartesian image reconstruction was done with the BART toolbox using GIRF trajectory prediction. |
| 0730 | 14:00
|
BigBrain-MR: a computational phantom for ultra-high-resolution MR methods development |
| Cristina Sainz Martinez1,2, Mathieu Lemay1, Meritxell Bach Cuadra2,3,4, and João Jorge1,2 | ||
1Systems Division, Swiss Center for Electronics and Microtechnology (CSEM), Nêuchatel, Switzerland, 2Medical Image Analysis Laboratory (MIAL), Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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With the increasing importance of ultra-high field systems, suitable simulation platforms are needed for the development of high-resolution imaging methods. Here, we propose a realistic computational brain phantom at 100μm resolution, by mapping fundamental MR properties (e.g., T1, T2, coil sensitivities) from existing brain MRI data to the fine-scale anatomical space of BigBrain, a publicly-available 100μm-resolution ex-vivo image obtained with optical methods. We propose an approach to map image contrast from lower-resolution MRI data to BigBrain, retaining the latter’s fine structural detail. We then show its value for methodological development in two applications: super-resolution, and reconstruction of highly-undersampled k-space acquisitions. |
| 0731
|
14:00
|
Improved Estimation of Myelin Water Fractions with Learned Parameter Distributions |
| Yudu Li1,2, Jiahui Xiong1,2, Rong Guo1,2, Yibo Zhao1,2, Yao Li3,4, and Zhi-Pei Liang1,2 | ||
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 4Med-X Research Institute, Shanghai, China |
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Myelin water fraction (MWF) mapping can substantially improve our understanding of several demyelinating diseases. While MWF maps can be obtained from multi-exponential fitting of multi-echo imaging data, current solutions are often very sensitive to noise and modeling errors. This work addresses this problem using a new model-based method. This method has two key novel features: a) an improved signal model capable of compensating practical signal errors, and b) incorporation of parameter distributions and low-rank signal structures. Both simulation and experimental results show that the proposed method significantly outperforms the conventional methods currently used for MWF estimation. |
| 0732
|
14:00
|
Spatiotemporal encoding for DWI of brain and prostate using subspace-constrained sampling and locally-low-rank regularized reconstruction |
| Martins Otikovs1, Ankit Basak1, and Lucio Frydman1 | ||
1Weizmann Institute of Science, Rehovot, Israel |
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The benefits of performing locally low-rank (LLR) reconstruction on subsampled diffusion weighted (DW) data employing spatiotemporal encoding (SPEN) methods, is investigated. SPEN allows for self-referenced correction of motion-induced phase errors in case of interleaved DW acquisitions, and allows to overcome distortions otherwise observed along EPI’s phase-encoded dimension. In combination with LLR regularization and with joint subsampling of b-weighted and interleaved images, additional improvements are demonstrated. The method is tested on phantoms, and improvements in in-vivo brain and prostate scans on volunteers are demonstrated. |
| 0733 | 14:00
|
JET - A Matlab toolkit for automated J-difference-edited MR spectra processing of in vivo mouse MEGA-PRESS study at 9.4T |
| Chen Liu1, David Jing Ma2, Nanyan Zhu3, Kay Igwe2, Jochen Weber2, Roshell Li4, Emily Turner Wood5, Wafae Labriji6, Vasile Stupar6, Yanping Sun7, Neil Harris8, Antoine Depaulis6, Florence Fauvelle 9, Scott A. Small10,11,12, Douglas L. Rothman13, and Jia Guo10,14 | ||
1Department of Electrical Engineering and the Taub Institute, Columbia University, New York, NY, United States, 2Columbia University, New York, NY, United States, 3Department of Biological Sciences and the Taub Institute, Columbia University, New York, NY, United States, 4Department of Biomedical Engineering, Columbia University, New York, NY, United States, 5University of California, Los Angeles, Los Angeles, CA, United States, 6Grenoble Institut Neurosciences (GIN), Grenoble, France, 7Herbert Irving Comprehensive Cancer Centre, Columbia University, New York, NY, United States, 8Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States, 9Grenoble MRI Facility IRMaGe, France, France, 10Department of Psychiatry, Columbia University, New York, NY, United States, 11Department of Neurology, Columbia University, New York, NY, United States, 12Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States, 13Radiology and Biomedical Imaging and of Biomedical Engineering, Yale University, New Haven, CT, United States, 14Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States |
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Spectral editing studies in mice brains have been limited due to difficulty in spectrum processing and lack of software package analysis. However, in preclinical studies, mouse models play an important role in understanding effects of drugs and its impact on the nervous system. JET is a fully automated software that performs raw data conversion, spectrum registration, spectral quality assessment and metabolite quantification of MEGA-PRESS mouse data at 9.4T. In this work, we first introduce the automated spectra processing pipeline of JET and further demonstrate its utilities in mouse studies. |
| 0734 | 14:00
|
A Magnetic Resonance Imaging Simulation Framework of the Developing Fetal Brain |
| Hélène Lajous1,2, Tom Hilbert1,3,4, Christopher W. Roy1, Sébastien Tourbier1, Priscille de Dumast1,2, Yasser Alemán-Gómez1, Thomas Yu4, Patric Hagmann1, Mériam Koob1, Vincent Dunet1, Tobias Kober1,3,4, Matthias Stuber1,2, and Meritxell Bach Cuadra1,2,4 | ||
1Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland, 4Signal Processing Laboratory 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Accurate characterization of in utero human brain maturation is critical. However, the limited number of exploitable magnetic resonance acquisitions not corrupted by motion in this cohort of sensitive subjects hinders the validation of advanced image processing techniques. Numerical simulations can mitigate these limitations by providing a controlled environment with a known ground truth. We present a flexible framework that simulates magnetic resonance acquisitions of the fetal brain in a realistic setup including stochastic motion. From simulated images comparable to clinical acquisitions, we assess the accuracy and robustness of super-resolution fetal brain magnetic resonance imaging with respect to noise and motion. |
| 0735
|
14:00
|
Neural network-based cr-EPT stabilization. |
| Adan Jafet Garcia Inda1, Shao Ying Huang2,3, Nevrez Imamoglu4, and Wenwei Yu5 | ||
1Medical Engineering, Chiba University, Chiba, Japan, 2Department of Surgery, National University of Singapore, Singapore, Singapore, 3Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore, 4Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan, 5Center for Frontier Medical Engineering, Chiba University, Chiba, Japan |
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Electrical properties are a novel contrast mechanism for quantitative MRI. Conductivity can be used as a biomarker for tumorous tissues. Different analytic Magnetic-Resonance Electrical Properties Tomography (MREPT) methods have been proposed, however, accurate reconstructions require empirical assessment and setting of regularization coefficients per sample. In this work, based on a modified formulation of Convection-Reaction Equation-Based EPT (cr-EPT), the regularization coefficients are learned from the difference between reconstructed conductivity maps and their ground truth, using a convolutional neural network (CNN) model. The CNN model with the modified cr-EPT could achieve conductivity reconstructions with higher accuracy, compared to several analytical models. |
| 0736 | 14:00
|
Accelerating QSM using Compressed Sensing and Deep Neural Network |
| Yang Gao1, Feng Liu1, Stuart Crozier1, and Hongfu Sun1 | ||
1The University of Queensland, Brisbane, Australia |
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Quantitative susceptibility mapping (QSM) has shown significant clinical potential for studying neurological disorders, but its acquisitions are relatively slow, e.g. 5-10 mins. Compressed sensing (CS) undersampling and reconstruction techniques have been used to accelerate the magnitude-based MRI acquisitions; however, most of them are ineffective to phase signal due to its non-convex nature. In this study, we propose a deep neural network “CANet” using complex attention modules to recover both the magnitude and phase images from the CS-undersampled data, enabling substantial acceleration of phase-based QSM. |
| 0737 | 14:00
|
Brain stiffness changes before disease onset and reflects remission and relapse in a mouse model of multiple sclerosis |
| Anna Morr1, Rafaela Vieira da Silva1, Gergely Bertalan1, Stefan Paul Koch1, Susanne Mueller1, Philipp Boehm-Sturm1, Jürgen Braun1, Carmen Infante Duarte1, and Ingolf Sack1 | ||
1Charité - Universitätsmedizin Berlin, Berlin, Germany |
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The disease progression in a mouse model of multiple sclerosis (EAE) was monitored based on regionally resolved brain viscoelasticity. Multifrequency MR elastography was applied prior to immunization and during subsequent phases of disease progression. Our results suggest that mechanical structures of the brain, particularly throughout the whole brain, in the cortex, and in the periventricular and hippocampal areas, are already significantly affected by neuroinflammation bevor clinical disability is manifested. Moreover, stiffness of the hippocampus and periventricular tissue transiently recovered during remission and became re-affected during relapse. This suggests that mechanical alterations are transient and recover during remission. |
| 0738 | 14:00
|
Validation and Application of a Novel Anisotropic MRE Reconstruction Method |
| Renee Miller1, Rob Lloyd2, Daniel Fovargue1, Behzad Babei2, Lauriane Juge2,3, Ralph Sinkus1, David Nordsletten1,4, and Lynne Bilston2,3 | ||
1Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom, 2Neuroscience Research Australia, Sydney, Australia, 3Faculty of Medicine, University of New South Wales, Sydney, Australia, 4University of Michigan, Ann Arbor, MI, United States |
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Due to their structure and composition, many biological tissues have been shown to be anisotropic. MRE, a non-invasive tool used to measure the stiffness of tissue, has previously been used to diagnose and track disease progression based on tissue stiffness changes. This work presents a robust and novel method for estimating anisotropic stiffness utilising harmonic displacements from MRE and material orientations from DTI. The method was verified using in silico experiments and applied to in vivo imaging data of the lower leg muscles in volunteers. In vivo stiffness estimates show changes in anisotropic stiffness with changes in passive muscle stretch. |
| 0739
|
14:00
|
Relationships Between 7T Basal Ganglia QSM, Volume and Clinical Manifestation of Huntington’s Disease |
| Sivakami Avadiappan1, Melanie A Morrison1, Yicheng Chen1, Angela Jakary1, Nancy Cai2, Megan Casey2, Julia Glueck2, Joseph Tallakson2, Michael Geschwind2, Katherine Possin2, Alexandra Nelson2, Christopher P Hess1,2, and Janine M Lupo1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Neurology, University of California San Francisco, San Francisco, CA, United States |
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Huntington’s Disease (HD) is a neurodegenerative disorder with severe cognitive and motor impairment caused by abnormal cytosine-adenine-guanine (CAG) repeat expansion within the HTT gene. The goal of this study was to explore differences in iron deposition measured by quantitative susceptibility mapping (QSM) and volume of basal ganglia structures between healthy controls and patients with pre-manifest HD or early manifest HD and correlate them with clinical variables. The caudate and putamen exhibited atrophy that increased with disease severity, CAP score, and impaired motor function. Iron deposition increased with the onset of symptoms, CAP scores, and cognitive decline. |
| 0740 | 14:00
|
Imaging of electromagnetic field distribution in deep brain stimulation (DBS): a biological tissue phantom study |
| Munish Chauhan1, Saurav ZK Sajib1, Sulagna Sahu1, Enock Boakye1, Willard S Kasoff2, and Rosalind J Sadleir1 | ||
1School of Biological and Health System Engineering, Arizona State University, Tempe, AZ, United States, 2Department of Surgery, University of Arizona, Tucson, AZ, United States |
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Knowledge of electromagnetic field distribution parameters such as current density, conductivity, and electric field distribution may play an essential role in understanding DBS therapeutic effects on living tissues. However, until now there has been no experimental method that can measure these field parameters. In this work, we demonstrate that it is possible to quantify electromagnetic field distribution during DBS therapy using magnetic resonance electrical impedance tomography (MREIT). |
| 14:00 | QSM: Theory & Methods |
| Steffen Bollmann |
| 14:30 | QSM: Applications & Outlook |
| Sarah Eskreis-Winkler |
| 15:00 | QSM: Applications & Outlook |
| Anita Karsa |
| 14:00 | Electrical Tissue Property Mapping: Theory & Methods |
| Rita Schmidt |
| 14:30 | Electrical Tissue Property Mapping: Applications & Outlook |
| Stefano Mandija |
| 14:00 | MR Elastography: Theory & Methods |
| Meng Yin |
| 14:30 | MR Elastography: Applications & Outlook |
| Philip Bayly |
| 0741 | 14:00
|
Cost-Effectiveness Analysis of Magnetic Resonance Spectroscopy for the Differentiation of Recurrent Glioma from Radiation Necrosis |
| Huijun Liao1, So Wing Lum1, and Alexander P. Lin1 | ||
1Center for Clinical Spectroscopy, Brigham and Women's Hospital, Boston, MA, United States |
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To date there have been no formal studies of the cost-effectiveness of magnetic resonance spectroscopy. Cost-effectiveness analysis was conducted by utilizing a decision-analytic model that compared MRS and standard of care to standard of care alone for recurrent glioma and necrosis differentiation. Our results showed that performing MRS was highly cost-effective with incremental cost-effectiveness ratios of -$98,978, -$50,666 and -$41,349 per quality-adjusted life-years over 5-year, 10-year and lifetime horizons. At the willingness-to-pay threshold of $50,000, performing MRS was more cost-effective with certainty of 96% to 97% over those time-horizons. MRS should be considered reimbursable by policy makers. |
| 0742
|
14:00
|
Feasibility of accelerated diffusion weighted imaging for prostate cancer screening on prototype 0.55T system enabled with random matrix theory |
| Gregory Lemberskiy1, Dmitry S Novikov1, Mary Bruno1, Mahesh Bharath Keerthivasan2, Els Fieremans1, and Hersh Chandarana1 | ||
1Radiology, NYU School of Medicine, New York, NY, United States, 2Siemens Medical Solutions, New York, NY, United States |
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We compared standard and RMT reconstructions for a prostate DWI exam on a prototype 0.55T for varying number of averages (1 to 40) to evaluate the image quality and overall loss. For standard reconstructions, regardless of number of averages, the Rician bias is present even at 40 averages for high-b value data, whereas 1 average on RMT is sufficient to produce diagnostic grade DWI at 0.55T. |
| 0743 | 14:00
|
Assessing breast density using the standardized proton density fat fraction based on chemical shift encoding-based water-fat separation |
| Tabea Borde1, Mingming Wu1, Stefan Ruschke1, Christof Böhm1, Kilian Weiss2, Stephan Metz1, Marcus R Makowski1, and Dimitrios Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Hamburg, Germany |
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Breast density is confirmed as a strong, independent risk factor of breast cancer which is why there is a clinical need for a robust, reader-independent, non-ionizing, quantitative assessment of breast density. This retrospective study proposes the proton density fat fraction (PDFF) derived from chemical shift encoding-based water-fat separation as a novel quantitative MRI biomarker of breast density. As a clinically highly practicable biomarker that is automatedly obtainable and insensitive to acquisition parameters and the partial volume effect, the PDFF significantly negatively correlated with the most commonly used conventional radiographic mammogram breast density estimations. |
| 0744 | 14:00
|
Can pulmonary thin-section MRI with UTE<200μs be applied for lung cancer screening similar to CT? |
| Yoshiharu Ohno1,2,3, Masao Yui4, Takeshi Yoshikawa3,5, Daisuke Takenaka5, Kaori Yamamoto4, Yoshimori Kassai4, Kazuhiro Murayama2, 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, 3Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 4Canon Medical Systems Corporation, Otawara, Japan, 5Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan |
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No report has been found to compare the capability for lung cancer screening among pulmonary MR imaging with ultra-short TE (UTE), low-dose CT (LDCT) and standard-dose CT (SDCT). We hypothesized that pulmonary MR imaging with UTE has a similar potential to detect pulmonary nodules and evaluate Lung-RADS classification and can apply lung cancer screening as well as CT. The purpose of this study was to compare the capability for lung cancer screening among pulmonary MR imaging with UTE and both dose CTs. |
| 0745 | 14:00
|
Residential MRI: Fully Mobile Neuroimaging for Community and Population-Based Studies |
| Sean Deoni1, John Rogers2, Jennifer Beauchemin2, Viren D'Sa3, Eddy Boskamp4, Samantha By4, Chris McNulty4, William Mileski4, Brian Welch4, and Paul Medeiros5 | ||
1Bill & Melinda Gates Foundation, Seattle, WA, United States, 2Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, United States, 3Pediatrics, Rhode Island Hospital, Providence, RI, United States, 4Hyperfine, Guildford, CT, United States, 5New England Collision, Seekonk, MA, United States |
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The continued increase in magnetic field strength and gradient capabilities of MRI systems has allowed ever more sophisticated interrogation of brain structure and function. However, these systems are often limited to high resource imaging research centers. To extend to more general population-studies, there is need for low-cost mobile imaging systems that allow for anywhere/everywhere imaging. In this work, we built a mobile MRI lab using the 64mT Hyperfine SwoopTM system and a customized Ford Transit cargo van, and demonstrated the ability to perform routine and rapid at-home MRI for the first time. |
| 0746 | 14:00
|
The Impact of Acceleration on Radiologists' Confidence in Point-Of-Care 0.5T MRI For Triage of Acute Stroke |
| Michelle Pryde1,2, Sarah Reeve2,3, Taylor Bouchie2,4, Elena Adela Cora5,6, David Volders5,6, Chris Bowen2,3,5, James Rioux2,3,5, and Steven Beyea1,2,3,5 | ||
1School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada, 2Biomedical Translational Imaging Centre, QEII Health Sciences Centre, Halifax, NS, Canada, 3Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 4Medicine, Dalhousie University, Halifax, NS, Canada, 5Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 6Diagnostic Imaging, Nova Scotia Health, Halifax, NS, Canada |
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Accelerated MR image acquisition is key for emergency medicine situations, such as acute stroke, but yields degraded image quality. Therefore, our aim in this study was to calibrate a relationship between IQMs and radiologists' confidence in answering pointed clinical questions relevant to triaging of stroke patients so as to develop a protocol at low-field that is “as fast as clinically useful”. We observed that upon increasing R and decreasing NEX, radiologists’ confidence scores in their ability to identify diagnostically relevant features of both acute and chronic stroke decreased; however, radiologists’ confidence remained high despite retrospective acceleration of up to R=6. |
| 0747 | 14:00
|
Running Free on a Low-Field: a Proof of Principle |
| Davide Piccini1,2, Jerome Yerly2,3, Tobias Kober1,2,4, Lorenzo Di Sopra2, Aurélien Bustin2,5,6, Daniel Giese7, Mario Bacher7, Michaela Schmidt7, Peter Speier7, Christian Geppert7, Rainer Schneider7, David Grodzki7, and Matthias Stuber2,3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac-Bordeaux, France, 6Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Pessac, France, 7Magnetic Resonance, Siemens Healthcare, Erlangen, Germany |
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Low-field MR has recently attracted considerable attention because of reduced overall cost, lower field inhomogeneity, a lower specific absorption rate, and the potential for a more widespread global use. Owing to the simplicity and scalability of our recently developed free-running framework (FRF) for cardiovascular imaging, we here present the first results obtained with FRF at 0.55T. We demonstrate that FRF is scalable to this field strength by successfully reconstructing 5D cardiac- and respiratory motion-resolved whole heart images without the need of any gating or triggering devices, while reducing scan planning to a single mouse-click. |
| 0748 | 14:00
|
Research and educational applications of an open source, low cost MRI console with an accessible pulse sequence programming environment |
| Lincoln Craven-Brightman1, Thomas O'Reilly2, Benjamin Menkuec3, Marcus Prier4, Rubén Pellicer-Guridi5,6, Joseba Alonso5,6, Lawrence L. Wald1,7, Maxim Zaitsev8, Jason Stockmann1,7, Thomas Witzel9, Andrew Webb2, and Vlad Negnevitsky10 | ||
1A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3University of Applied Sciences and Arts Dortmund, Dortmund, Germany, 4Otto von Guericke Universität Magdeburg, Magdeburg, Germany, 5Universitat Politècnica de València, Valencia, Spain, 6Spanish National Research Council, Valencia, Spain, 7Harvard Medical School, Boston, MA, United States, 8Medizinische Universität Wien, Vienna, Austria, 9Qbio Inc, San Carlos, CA, United States, 10Independent researcher, Zürich, Switzerland |
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The hardware and software for a low cost programmable MR console has been developed, characterized and tested in various setups at multiple sites for both educational and research applications. A new Python-based wrapper allows easy pulse programming of different sequences and k-space trajectories using PulSeq, with output data also being processed via Python. The first two- and three-dimensional in vivo images have also been acquired using this hardware on a large bore Halbach array system. |
| 0749 | 14:00
|
Freeing MRI from its Faraday cage with Interference Rejection |
| Hadrien Dyvorne1, Todd Rearick1, Michael Poole1, Carole Lazarus1, Pierre Weiss2, Laura Sacolick1, Jeremy Jordan1, Cedric Hugon1, William Mileski1, Gang Chen1, Rafael O'Halloran1, Chris McNulty1, Jonathan Lowthert1, Anne Nelson1, Aristito Lorenzo1, Nicholas Zwart1, Prantik Kundu1, Scott Martin1, Andrei Loutchouk1, E. Brian Welch1, Samantha By1, Bradley Cahn3, Matthew Yuen3, Mercy Mazurek3, Anjali Pranhat3, Matthew Rosen4, Kevin Sheth3, and Jonathan Rothberg1 | ||
1Hyperfine, Guilford, CT, United States, 2ITAV, CNRS, Toulouse, France, 3Neurology, Yale University School of Medicine, New Haven, CT, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States |
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We introduce methods and hardware for rejection of high levels of interference from MR data, allowing the acquisition of MR imaging scans outside the shielded room and with no disruption to patient care. Interference cancellation relies on deriving a transfer function between “primary” sensors that detect MR signal and interference, and “reference” sensors that detect interference only. Interference rejection up to 67 dB is demonstrated, along with imaging results from scans acquired at the patient bedside in a Neuro ICU. |
| 0750 | 14:00
|
Comparing Zero Time of Echo (ZTE) MRI sequence and Computed Tomography for assessing bony lesions of skull base and calvarium : A Pilot study |
| Vikas Chauhan1, Sandeep Kaushik2, Florian Wiesinger2, Cristina Cozzini2, Michael Carl2, Maggie Fung2, Bhairav Mehta2, Bejoy Thomas1, and Kesavadas Chandrasekharan1 | ||
1Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India, 2GE Healthcare, GE Healthcare, Bangalore, India |
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ZTE is a novel MRI sequence which can be used for the imaging of the bone. In this pilot study we present our initial experience with this sequence. The pseudoCT images generated after post-processing of raw ZTE data were similar to the real CT images in bone windows and were able to give the relevant clinical information about the lesion size, margins, erosions and bony expansion. As this technique is free of ionising radiation, it has a huge potential for bone imaging. Thus the MRI becomes one stop shop for the imaging of patients with bone lesions. |
14:00
|
Chemical Shift MR Methods in Imaging Brown Adipose Tissue | |
| Houchun Harry Hu1 | ||
1Clinical Science, Hyperfine Research, Inc., Guilford, CT, United States |
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This talk introduces the audience to MRI of brown adipose tissue (BAT). BAT studies in both animals and humans have progressed rapidly during the past decade. While positron emission and computed tomography (PET/CT) is likely to remain as a reference modality in BAT imaging, approaches using MRI have emerged as viable alternatives. MRI-based quantitative measurements of BAT fat content and metabolism are discussed. An outlook on research opportunities and future directions is provided. |
14:30
|
How to Quantify & Characterize Fat with MRI/MRS | |
| Olof Dahlqvist Leinhard1 | ||
1Linköping University, Linköping, Sweden |
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This talk is about advanced body composition assessment methods using MRI and MRS. Approaches for automation and standardization across different scanner platforms will be discussed. Recent advancements in understanding how biomarkers for liver and muscle steatosis links to incidence and progression of metabolic disorders such as diabetes mellitus and coronary heart disease will be reviewed. By applying whole body MRI in large scale population studies, new phenotypes can be described connecting skewness in body fat distribution to specific comorbidity patterns. Further, it will be discussed how detailed volumetric description of muscles can advance our understanding of muscle degeneration and sarcopenia. |
15:00
|
Diagnostic Value of Quantifying Body Composition & Organ Fat | |
| Shintaro Ichikawa1 | ||
1Department of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Japan |
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Non-alcoholic fatty liver disease (NAFLD) is a worldwide major public health problem. proton density fat fraction (PDFF) is a noninvasive quantitative evaluation method of hepatic steatosis. PDFF has excellent diagnostic value for assessment of liver fat accumulation and classification of histologic steatosis in patients with NAFLD. PDFF may be more sensitive than histological examination in detecting small changes in liver fat content. PDFF is a useful tool for the assessment of longitudinal changes of hepatic steatosis due to its noninvasiveness and high reproducibility. Recently, PDFF can also apply to other organs. |
15:30
|
Fat and Cancer | |
| Vicky Goh1 | ||
1King's College London, London, United Kingdom |
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Normal adipose tissue is a dynamic structure with endocrine, metabolic, haematological and immune functions in addition to fat storage. Obesity (body mass index ≥30 kg/m2) has doubled in prevalence since the 1980s and is a risk to health. This lecture describes normal body fat distribution; the physiological changes in fat and muscle distribution with ageing; the prevalence of obesity globally and its impact on cancer risk and outcomes. Imaging techniques to assess body composition (fat-muscle mass) are compared and how such imaging can help the management of cancer patients is discussed. |
| 0751 | 14:00
|
Removal of Subcutaneous Lipid Signals from Spin-Echo 1H-MRSI Brain Data Using an FID Reference and Machine Learning |
| Yunpeng Zhang1, Yibo Zhao2,3, Yudu Li2,3, Rong Guo2,3, Yao Li1, and Zhi-Pei Liang2,3 | ||
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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Spin-Echo (SE) MRSI can encode J-coupling information and is desirable for brain imaging applications. But it uses long TR, leading to long scan time and thus low resolution. Consequently, removal of subcutaneous lipid signals from low-resolution SE data is challenging. This paper presents a novel method to solve this problem. The proposed method uses a high-resolution FID reference and a neural network to transform it into SE signals, which are then used to construct a generalized-series model for lipid signal removal from the SE 1H-MRSI data. The proposed method has been tested using in vivo data, producing very encouraging results. |
| 0752
|
14:00
|
Lipid droplet size mapping in human adipose tissue using a clinical 3 T system |
| Dominik Weidlich1, Julius Honecker2, Christof Boehm1, Stefan Ruschke1, Daniela Junker1, Anh Van1, Marcus Makowski1, Christina Holzapfel3, Melina Claussnitzer4,5,6, Hans Hauner2,3, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Else Kröner Fresenius Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Munich, Germany, 3Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany, 4Broad Institute of MIT and Harvard, Cambridge, MA, United States, 5Beth Israel Deaconess Medical Center, Boston, MA, United States, 6Harvard Medical School, Harvard University, Boston, MA, United States |
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Despite its high relevance in metabolic research, the non-invasive measurement of adipocyte size remains an unmet need. DW-MRS has been previously applied to probe diffusion restriction effects in vivo to measure lipid droplets in animals up to diameters of 10 µm and in humans up to diameters of 50 µm. However, DW-MRS suffers from signal loss due to intravoxel-dephasing even when minimal motion is present. This work proposes a novel DW-MRI sequence and diffusion signal processing. In simulations and ex vivo adipose tissue measurements, the presented method results show agreement with ground truth and histology in measuring lipid droplet size. |
| 0753
|
14:00
|
Free-Breathing Liver Fat and R2* Mapping: Multi-Echo Radial FLASH and Model-based Reconstruction (MERLOT) |
| Zhengguo Tan1,2, Sebastian Rosenzweig1,2, Xiaoqing Wang1,2, Nick Scholand1,2, H Christian M Holme1,2, Moritz Blumenthal1, and Martin Uecker1,2,3,4 | ||
1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany, 2German Center for Cardiovascular Research (DZHK), Göttingen, Germany, 3Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany, 4Campus Institute Data Science, University of Göttingen, Göttingen, Germany |
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To achieve free-breathing liver fat and $$$R_2^\star$$$ mapping, this work combines multi-echo radial FLASH with stack-of-stars volumetric acquisition and SSA-FARY to resolve respiratory motion. Moreover, regularized model-based reconstruction is implemented in BART to directly estimate quantitative parameter maps from acquired k-space data. Joint spatial and temporal regularization is used in this work. The proposed method is validated with NIST and water/fat phantoms. Furthermore, free-breathing liver studies show repeatability and good agreement between single-slice real-time and volumetric acquisition. |
| 0754 | 14:00
|
MP-Dixon-GRASP: Magnetization-Prepared Multiecho GRASP MRI for Free-Breathing Fat/Water-Separated 3D T1 Mapping |
| Li Feng1, Fang Liu2, Giorgios Soultanidis1, Chenyu Liu1, Thomas Benkert3, Sara Lewis1, Kai Tobias Block3,4, Zahi Fayad1, and Yang Yang1 | ||
1Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany, 4Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States |
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This study aims to develop a framework called MP-Dixon-GRASP (Magnetization-Prepared Dixon-based Golden-angle RAdial Sparse Parallel MRI) for rapid free-breathing fat/water-separated 3D T1 mapping of the liver. The technique combines inversion recovery-prepared multiecho stack-of-stars acquisition with subspace-based sparse image reconstruction. The performance of MP-Dixon-GRASP was evaluated in fat/water phantoms and in subjects with normal and elevated liver fat content. The results suggested that fat/water-separated T1 mapping is able to remove the influence of fat, which enables more accurate estimation of true T1 values in the liver. With fat/water-separated T1 estimation, MP-Dixon-GRASP could be potentially useful for imaging patients with fatty-liver diseases. |
| 0755
|
14:00
|
Whole-Heart Motion-Resolved Multi-Peak Fat-Fraction Mapping using Free-Running 3D Radial Multi-Echo GRE and Pilot Tone |
| Adèle L. C. Mackowiak1, Christopher W. Roy1, Jérôme Yerly1,2, Lorenzo Di Sopra1, Mariana B. L. Falcaõ1, Mario Bacher1,3, Peter Speier3, Davide Piccini4,5, Matthias Stuber1,2, and Jessica A. M. Bastiaansen1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland |
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A free-running multi-echo GRE approach was proposed for whole-heart fat quantification. Retrospective extraction of cardiac and respiratory motion states was achieved using integrated Pilot Tone navigation, enabling a free-breathing non-ECG-triggered acquisition. Following a motion-resolved compressed sensing based image reconstruction of the separate echoes, fat fraction, water fraction, R2* and B0 maps, as well as separated fat and water images, were calculated. Free-running acquisition parameters were optimized in a fat phantom. Volunteer experiments demonstrated the feasibility of motion-resolved free-running fat-fraction mapping technique in a 6-minute scan time. |
| 0756 | 14:00
|
Left Ventricular Distribution of LGE and Intra-myocardial Fat in Boys with Duchenne Muscular Dystrophy and Healthy Controls at 3T |
| Nyasha G Maforo1,2, Ashley Prosper1, Pierangelo Renella1,3, Nancy Halnon4, Holden H Wu1,2,5, and Daniel B Ennis6,7,8 | ||
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, 3Medicine (Pediatric Cardiology), Children's Hospital of Orange County, Orange, CA, United States, 4Pediatrics (Cardiology), University of California, Los Angeles, Los Angeles, CA, United States, 5Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 6Radiology, Stanford University, Stanford, CA, United States, 7Cardiovascular Institute, Stanford University, Stanford, CA, United States, 8Maternal and Child Health Research Institute, Stanford University, Stanford, CA, United States |
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Duchenne muscular dystrophy (DMD) – a fatal X-linked genetic disorder – is characterized by progressive muscle weakness, pediatric onset cardiomyopathy, and ultimately heart failure. LGE imaging is the gold standard for detecting myocardial replacement fibrosis, but not fatty infiltration. We used chemical-shift based water-fat separation MRI techniques to investigate myocardial fibro-fatty infiltration and identify the onset of microstructural remodeling in boys with DMD. This study aimed to: 1) report and compare the left-ventricular (LV) intra-myocardial fat content in boys with DMD and healthy controls; and 2) determine whether fatty infiltration precedes the appearance of LGE in boys with DMD. |
| 0757
|
14:00
|
MOdel-free Diffusion-wEighted MRI (MODEM) with Machine Learning for Cervical Cancer Detection |
| Guangyu Dan1,2, Cui Feng1,3, Zheng Zhong1,2, Kaibao Sun1, Muge Karaman1,2, Daoyu Hu3, and Xiaohong Joe Zhou1,2,4 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology, Tongji Hospital, Wuhan, China, 4Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Characterization of diffusion-weighted imaging signal is typically performed by modeling the data based on biophysical, mathematical, and/or statistical models to estimate quantitative biomarkers. However, conventional nonlinear fitting, which is required for the estimation of model parameters, often suffers from instability and degeneracy. In this study, we propose a Model-free Diffusion-wEighted MRI technique (MODEM) with machine learning to detect cervical carcinomas by using diffusion signal intensities and the first-order statistical features extracted from the signal attenuation as the input. By using MODEM, superior diagnostic performance and stability can be achieved even with limited number of b-values in cervical cancer detection. |
| 0758 | 14:00
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Differential diagnosis of cervical adenocarcinoma and squamous carcinoma by using multiple parameters of Enhanced T2* -Weighted Angiography |
| Dahua Cui1, Ailian Liu1, Shifeng Tian1, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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The aim of this study was to explore the value of multiple quantitative parameters of enhanced T2 star-weighted angiography (ESWAN) in differentiating cervical adenocarcinoma (CA) from Squamous cell carcinoma (SCC). The areas under the ROC curve of amplitude, R2* and T2* in US group were 0.729, 0.851 and 0.843, respectively, promising to be a valuable diagnostic method for differentiation CA from SCC. |
| 0759 | 14:00
|
Prediction of prognosis after definitive radiotherapy for uterine cervical cancer using changes of ADC histogram during the clinical course |
| Akiyo Takada1, Hajime Yokota2, Miho Watanabe Nemoto2, Takuro Horikoshi1, Koji Matsumoto1, Yuji Habu3, Hirokazu Usui3, Katsuhiro Nasu1, Makio Shozu3, and Takashi Uno2 | ||
1Radiology, Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Radiology, Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Obstetrics and gynecology, Department of Reproductive Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan |
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To realize precision medicine for cervical cancer, it is essential to predict the prognosis. We focused on changes in ADC histogram during the clinical course. Sixty-eight patients were included and they underwent MRI evaluation 4 times during the clinical course. Imaging features were extracted from the ADC histogram in the whole tumor VOI and their change rates were calculated. The change rates of kurtosis between the first and third, and between the first and second imaging could predict recurrence with high AUCs (0.90 and 0.83). By predicting the prognosis early during clinical course, a more personalized treatment can be provided. |
| 0760 | 14:00
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Preliminary study about T2 mapping technology in quantification of uterine benign and malignant tumors under 1.5T and 3.0T MRI |
| Liuhong Zhu1, Pu-Yeh Wu2, Hao Liu1, and Jianjun Zhou1 | ||
1Radiology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China, 2GE Healthcare, Beijing, China |
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MRI is the best imaging tool for evaluation of uterine tumors, but conventional MRI diagnosis results are subjective. T2 mapping is an objective quantification technique under certain magnetic field. Here we compared T2 values of common benign and malignant tumors under different field strengths. We found that T2 value of benign lesions was significantly lower than those of malignant lesions under both 1.5T and 3.0T, while diagnostic performance of T2 value under 3.0T were higher than 1.5T. We concluded that T2 mapping can be an effective quantitative tool in distinguishing between benign and malignant tumors, especially under 3.0T MR. |
| 0761 | 14:00
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DTI quantitative parameters were used to differentiate uterine sarcoma from cell - rich uterine fibroids |
| Changjun Ma1, Ailian Liu1, Shifeng Tian1, and Jiazheng Wang2 | ||
1Radiology Department, The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian,China, China, 2Philips Healthcare,Beijing,China, Beijing,China, China |
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DTI is a novel MRI sequence that enables quantitative assessment of various diseases. However, its potential for diagnosis of uterus has not been explored,and it may also help differential diagnosis of myoma of uterus and uterine sarcoma.In this study, the DTI was used for quantitative analyses of myoma of uterus and uterine sarcoma. |
| 0762 | 14:00
|
Deep Learning for the Ovarian Lesion Localization and Discrimination Between Borderline Tumors and Cancers in MR Imaging |
| Yida Wang1, YinQiao Yi1, Haijie Wang1, Changan Chen2, Yingfang Wang2, Guofu Zhang2, He Zhang2, and Guang Yang1 | ||
1East China Normal University, Shanghai Key Laboratory of Magnetic Resonance, Shanghai, China, 2Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China |
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We proposed a deep learning (DL) approach to segment ovarian lesion and differentiate ovarian malignant from borderline tumors in MR Imaging. Firstly, we used U-net++ with deep supervision to automatically define lesion region on conventional MRI; secondly, the segmented ovarian masses regions were classified with an SE-ResNet model. We compared the performance of classification model with those of radiologist’. The results showed the trained DL network model could help to identify and categorize ovarian masses with a high accuracy from MR images. |
| 0763
|
14:00
|
Hyperpolarized 13C MR imaging of prostate cancer patient derived xenograft models and their response to therapy |
| Shubhangi Agarwal1, Jinny Sun1, Emilie Decavel-Bueff1, Robert A Bok1, Romelyn Delos Santos1, Mark Van Criekinge1, Rahul Aggarwal2, Daniel B Vigneron1, Donna Peehl1, John Kurhanewicz1, and Renuka Sriram1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 22Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States |
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This study demonstrates for the first time, a successful study of three small cell neuroendocrine prostate cancer patient derived xenografts (PDX) models in liver and bone in pre-clinical setting. Kidney served as an optimum site for propagation with its rich blood supply and high take rate. Hyperpolarized 13C MRI was able to identify metabolic differences between kidney, bone and liver tumors. The same PDXs had different metabolism when implanted in bone and liver. Hyperpolarized [1-13C] pyruvate conversion to lactate may be used to indicate early response to carboplatin in small cell neuroendocrine prostate cancer models in the bone. |
| 0764
|
14:00
|
Improving Multiparametric MR - TRUS Guided Fusion Prostate Biopsies with Hyperpolarized 13C Pyruvate Metabolic Imaging : Technical Development |
| Hsin-Yu Chen1, Robert A. Bok1, Hao G. Nguyen2, Katsuto Shinohara2, Antonio C. Westphalen1, Zhen J. Wang1, Michael A. Ohliger1, Lucas Carvajal1, Jeremy W. Gordon1, Peder E.Z. Larson1, 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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This project developed a new approach of integrating research biopsy targets, defined by metabolic abnormalities on hyperpolarized (HP) 13C pyruvate MRI, into clinical multiparametric MRI workflow to guide software-fusion transrectal ultrasound (TRUS) biopsy for improved prostate cancer risk stratification. Feasibility was investigated in 3 prostate cancer patient studies, for which research biopsy targets corresponding to high pyruvate-to-lactate conversion rates (kPL) were identified and outlined by experienced abdominal radiologists. Fusion biopsies identified histologically-confirmed cancer at two out of three “C13” targets, consistent with clinically low- to intermediate-risk disease, supporting continued active surveillance management for these patients. |
| 0765
|
14:00
|
A Framework for Characterizing Prostate Cancer Heterogeneity Using Voxel-Wise Co-Registered Ex Vivo MRI and Whole-Mount Histopathology |
| Zhaohuan Zhang1, Jiayun Li1, Wenyuan Li1, Haoxin Zheng1, Sohrab Afshari Mirak1, Sepideh Shakeri1, Alan Priester1, Clara Magyar2, Anthony Sisk2, Robert Reiter3, Kyunghyun Sung1, Steven Raman1, Dieter R. Enzmann1, Corey Arnold1, and Holden Wu1 | ||
1Department of Radiological Sciences, UCLA, Los Angeles, CA, United States, 2Department of Pathology, UCLA, Los Angeles, CA, United States, 3Department of Urology, UCLA, Los Angeles, CA, United States |
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Tumor heterogeneity is considered a key factor in determining the aggressiveness of prostate cancer (PCa). Quantitative MRI and digital whole-mount histopathology (WMHP) have potential to characterize heterogeneity in PCa in terms of MRI properties and tissue composition, respectively. Therefore, the purpose of this study is to develop a data acquisition and processing framework that produces high-resolution (1x1mm2) co-registered quantitative MRI and digital histopathology maps to enable texture features based quantification of PCa heterogeneity |
| 0766 | 14:00
|
In-vivo Magnetic Resonance Elastography of implanted human prostate tumors in a murine model. |
| Joachim Snellings1, Kader Avan1, Marcus Markowski2, Bernd Hamm1, Patrick Asbach1, Carsten Warmuth1, Mehrgan Shahryari1, Heiko Tzschätzsch1, Ingolf Sack1, and Jürgen Braun3 | ||
1Institute of Radiology, Charité Üniversitätsmedizin, Berlin, Germany, 2School of Medicine & Klinikum Rechts der Isar, Technical University of Munich, Munich (TUM), München, Germany, 3Institut für Medizinische Informatik, Charité Üniversitätsmedizin, Berlin, Germany |
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Prostate cancer (PCa) is the second leading cause of cancer-death in men in the western world. Advanced techniques of clinical MR-elastography (MRE), allow the characterization of PCa, based on the viscoelastic tissue-properties, which provide rich biophysical signatures of tumor progression. Using multifrequency MRE, we investigated PCa introduced LNCaP cell-lines, in a immunodeficient murine model, in-vivo, in a 3-Tesla MRI-scanner and, ex-vivo, by a 0.5-Tesla compact MRE-device. In-vivo and ex-vivo MRE values of LNCaP were in good agreement given the viscoelastic frequency-dispersion typical for soft-tissues. Compared with patient data in literature, LNCaP in mice are softer than PCa in humans. |
| 0767
|
14:00
|
Multi-parametric hyperpolarized 13C/1H imaging of human gliomas expressing diverse pathologic mutations |
| Adam W Autry1, Sana Vaziri1, Marisa LaFontaine1, Jeremy W Gordon1, Hsin-Yu Chen1, Yaewon Kim1, Javier Villanueva-Meyer1, Susan M Chang2, Jennifer Clarke2, Duan Xu1, Janine M Lupo1, Peder EZ Larson1, Daniel B Vigneron1,3, and Yan Li1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 3Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, United States |
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This study uses multi-parametric 1H and hyperpolarized carbon-13 (HP-13C) MRI to characterize patients with gliomas that express signature pathologic mutations at the time of recurrence |
| 0768 | 14:00
|
Glucose oxidation rate as a potential marker for GBM staging: correlation with histopathology and cell proliferation in a mouse model |
| Rui V Simoes1, Rafael N Henriques1, Beatriz M Cardoso1, Tania Carvalho1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal |
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The dynamic interplay between cancer cells and their microenvironment impacts progression. We used dynamic glucose-enhanced deuterium MRS (DGE 2H-MRS) to investigate the association between functional metabolic heterogeneity and cell proliferation in a syngeneic mouse model of GBM. Taking a stepwise approach, from cell culture studies to in vivo mouse MRI/MRS and post-mortem analysis, our results suggest a potential role for glucose oxidation rate as a marker of cell proliferation and vascular stability. Extending this methodology to other GBM models and/or molecular subtypes could create new opportunities for non-invasive phenotyping of the disease. |
| 0769 | 14:00
|
Hypoxia alters normal fibroblast metabolism towards a cancer associated fibroblast phenotype |
| Jesus Pacheco-Torres1, Tariq Shah1, W. Nathaniel Brennen2, Flonne Wildes1, and Zaver M Bhujwalla1,3,4 | ||
1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Fibroblasts play a pivotal role in cancer progression. In prostate cancer, fibroblasts have been shown to induce growth and increase metastatic potential. To further understand how fibroblasts respond to hypoxic tumor microenvironments that are frequently observed in prostate cancer, we have characterized the effects of hypoxia on normal and cancer associated prostate fibroblast (PCAF) metabolomics and invasion using 1H MRS/I. We found that hypoxia increased matrix degradation by normal fibroblasts. Furthermore, hypoxia metabolically reprogrammed normal prostate fibroblasts to mimic the metabolic pattern of PCAFs, highlighting the potential role of hypoxia in the transition of normal fibroblasts to CAFs. |
| 0770 | 14:00
|
Reproducibility study of disrupted white matter integrity and partial recovery in children treated for medulloblastoma |
| Wilburn E Reddick1, Jared J Sullivan1, John O Glass1, Yian Guo2, Julie H Harreld1, Yimei Li2, Giles W Robinson3, Amar Gajjar3, and Thomas E Merchant4 | ||
1Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States, 3Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States, 4Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States |
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The current reproducibility study evaluates 140 children treated for medulloblastoma and 92 age-similar controls using TBSS analysis of FA and dosimetry accounting for age. Treatment included surgery, post-operative standard or high dose craniospinal irradiation and adjuvant chemotherapy. FA measures at baseline after surgery but prior to therapy demonstrated an immediate decrease due to tumor and surgery, which was then accentuated by irradiation. A partial recovery of FA followed, which was attenuated in patients receiving higher doses. These longitudinal profiles need to be considered when conducting cross-sectional studies of patients at time points during or after therapy. |
| 0771 | 14:00
|
Quantification of pyruvate recycling in brain tumor patients |
| Kumar Pichumani1, Omkar Ijare1, Elizabeth Maher2, Robert M Bachoo2, and David S Baskin1 | ||
1Peak Center, Neurosurgery, Houston Methodist Hospital, Houston, TX, United States, 2UT Southwestern Medical Center, Dallas, TX, United States |
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Pyruvate recycling is the metabolic pathway that generates pyruvate, lactate and alanine from the tricarboxylic acid (TCA) cycle intermediates, oxaloacetate (OAA) and malate. It is active in the liver and the kidney. Although existence and origin of pyruvate recycling mechanism in human brain has been shown to be active, it still remains controversial. Here, we demonstrate that pyruvate recycling mechanism is active in human GBM patients by 13C isotopomer analysis of resected tumor tissues. We have developed a simple method to determine the relative flux of pyruvate recycling with respect to glycolysis using C2 lactate 13C isotopomers. |
| 0772 | 14:00
|
Pathological validation of MP-MRI intensity-based signatures in brain cancer patients using autopsy tissue samples |
| Samuel Bobholz1, Allison Lowman2, Michael Brehler2, Savannah Duenweg1, Fitzgerald Kyereme2, Elizabeth Cochran3, Jennifer Connelly4, Wade Mueller5, Mohit Agarwal2, Darren O'Neill2, Anjishnu Banerjee6, and Peter LaViolette2,7 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Neurology, 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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This study investigated the relationship between MRI-intensity values and pathological features of brain cancer using autopsy tissues as ground truth. Mixed effect models were used to examine the association between T1, T1C, FLAIR, and ADC intensity and pathological features (cellularity, cytoplasm density, and extracellular fluid density), as well as to compare the strength of these associations between GBM and non-GBM patients. These analyses confirmed many of the associations seen in prior literature, but with decreased strength than expected. Additionally, this study found that radio-pathomic associations were weaker in GBM patients than non-GBM patients. |
| 0773 | 14:00
|
Impact of inversion time for FLAIR acquisition on the T2-FLAIR mismatch detectability for IDH-mutant, non-CODEL astrocytomas |
| Manabu Kinoshita1, Hideyuki Arita1, Masamichi Takahashi2, Takehiro Uda3, Junya Fukai4, Kenichi Ishibashi5, Noriyuki Kijima1, Ryuichi Hirayama1, Mio Sakai6, Atsuko Arisawa7, Hiroto Takahashi7, Katsuyuki Nakanishi6, Naoki Kagawa1, Kouichi Ichimura8, Yonehiro Kanemura9, Yoshitaka Narita2, and Haruhiko Kishima1 | ||
1Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan, 2Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan, 3Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan, 4Neurological Surgery, Wakayama Medical University, Wakayama, Japan, 5Neurosurgery, Osaka City General Hospital, Osaka, Japan, 6Diagnostic Radiology, Osaka International Cancer Institute, Osaka, Japan, 7Radiology, Osaka University Graduate School of Medicine, Suita, Japan, 8Division of Brain Tumor Translational Research, National Cancer Center Research Institute, Tokyo, Japan, 9Biomedical Research and Innovation, National Hospital Organization Osaka National Hospital, Osaka, Japan |
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Although the T2-FLAIR mismatch sign is a promising imaging marker specific for IDHmt, non-CODEL astrocytomas, its low sensitivity and NPV hinder its full clinical application. This study discovered that FLAIR acquisition with TI shorter than 2400 ms in 3T could overcome this issue and that the sensitivity and NPV improved to 67% and 74%. Tuning TI for FLAIR acquisition is such a simple technique that clinicians can easily incorporate this procedure into the daily workflow of glioma imaging. Our proposed method would provide a novel yet clinically feasible glioma imaging method in the era of personalized-molecular medicine of cancer. |
| 0774 | 14:00
|
Leakage Correction of Dynamic Susceptibility Contrast (DSC-) MRI for vessel size measurements in human glioma |
| Fatemeh Arzanforoosh1, Paula L. Croal2, Karin Van Garderen1, Marion Smits1, Michael A. Chappell2, and Esther A.H. Warnert1 | ||
1Department of Radiology & Nuclear Medicine, ErasmusMC, Rotterdam, Netherlands, 2Radiological Sciences, Division of Clinical Neurosciences, University of Nottingham, Nottingham, United Kingdom |
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Reliable insight about tumor microvasculature is important for monitoring of disease progression and treatment response. Derived from Dynamic Susceptibility Contrast MRI, transverse relaxation rates are used for vessel size estimation. In high grade glioma, these signals can artificially change by contrast agent extravasation through a disrupted Blood-Brain-Barrier. In this study the effect of applying Boxerman-Schmainda-Weisskoff leakage correction on vessel size estimation has been investigated on a group of 12 glioma patients. The result shows that in Contrast-Enhanced Tumor area applying leakage correction significantly and noticeably changes the vessel size measurements. |
| 0775 | 14:00
|
3D APTw Brain Tumor Imaging with Compressed SENSE: Comparison of Different Acceleration Factors and with Conventional Parallel Imaging |
| Nan Zhang1, Qingwei Song2, Ailian Liu2, Haonan Zhang2, Renwang Pu2, Jiazheng Wang3, and Zhiwei Shen3 | ||
1The First Affilliated Hospital of Dalian Medical University, Dalian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China, Beijing, China |
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Amide proton transfer weighted (APTw) imaging is a novel and promising MRI method for brain tumor imaging, but it can be time-consuming. Common parallel imaging methods, like SENSE, can lead to reduced image quality and increased artifact at high acceleration factors. Here, the compressed SENSE (CS) technique with combined strength from both compressed sensing and SENSE was evaluated for the acceleration of APTw imaging in brain. Results showed that it is feasible to apply an CS accelerator factor of 5 to APTw imaging of brain tissue and tumor, which could reduce the scan time to less than 1 min. |
| 0776 | 14:00
|
MR Imaging Parameters for Noninvasive Prediction of EGFR Amplification in IDH-Wildtype Lower-Grade Gliomas: A Multicenter Study |
| Yae Won Park1, Ji Eun Park2, Sung Soo Ahn1, Seung Hong Choi3, Ho Sung Kim2, and Seung-Koo Lee1 | ||
1Yonsei University College of Medicine, Seoul, Korea, Republic of, 2University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Seoul National University Hospital, Seoul, Korea, Republic of |
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Epidermal growth factor receptor (EGFR) amplification status of isocitrate dehydrogenase-wildtype (IDHwt) lower-grade gliomas (LGGs; grade II/III) is one of the key molecular markers for diagnosing molecular glioblastoma. Our study shows that infiltrative or mixed pattern, lower ADC, lower 5th percentile of ADC, and higher 95th percentile of nCBF may be useful imaging biomarkers for the EGFR amplification of IDHwt LGGs. Moreover, quantitative imaging biomarkers may add value to qualitative imaging parameters (with AUCs of 0.71 and 0.88, p = 0.020). |
| 0777
|
16:00
|
Calibration-free pTx of the human heart at 7T via 3D universal pulses |
| Christoph Stefan Aigner1, Sebastian Dietrich1, Tobias Schaeffter1,2, and Sebastian Schmitter1,3 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 3Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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We demonstrate calibration free universal 4kT-points pulse design to achieve a subject independent, homogeneous flip-angle within the human heart at 7T. The proposed universal pulse was computed offline based on 22 three-dimensional B1+-maps of 20 volunteers with varying BMI and age (two of them were scanned twice with different coil placement). The optimized universal pulse was successfully applied experimentally to one volunteer from the library and four new unseen volunteers. In total we have analyzed 27 B1+ maps from 24 volunteers. Experimental data at 7T validate the B1+ predictions and demonstrate successful plug-and-play 3D pTx of the human heart. |
| 0778 | 16:00
|
Robust RF Shimming and Small-tip-angle Multi-spoke Pulse Design with Finite Difference Regularization |
| Zhipeng Cao1, Adrian Paez2, Chunming Gu2, and Jun Hua2 | ||
1Vanderbilt University, Nashville, TN, United States, 2Johns Hopkins University, Baltimore, MD, United States |
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This study presents a finite difference regularized magnitude-least-squares algorithm that ensures robust RF shimming and small-tip-angle multi-spoke pulse design against excitation nulls and sub-optimal pulse solutions. It also calculates a monotonic trade-off between flip angle error and RF power. It was validated in simulations and experiments, and was effective for brain and knee imaging. During an EPI-based fMRI at 7T with dynamic RF shimming, the algorithm ensured high SNR throughout the human brain, compared to a near-complete local signal loss by the conventional magnitude-least-squares algorithm. Overall, the algorithm streamlines the workflow for patient-tailored 2D multislice imaging at UHF. |
| 0779
|
16:00
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Off-resonance Robustness in Reduced FOV Imaging using Sheared 2DRF Excitation |
| Bahadir Alp Barlas1,2, Cagla Deniz Bahadir1,2,3, Sevgi Gokce Kafali1,2,4, Ugur Yilmaz2, and Emine Ulku Saritas1,2,5 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Department of Biomedical Engineering, Cornell University, New York, NY, United States, 4Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 5Neuroscience Graduate Program, Bilkent University, Ankara, Turkey |
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The use of 2D echo-planar radiofrequency (2DRF) excitation has been widely applied in reduced field-of-view imaging of targeted regions, especially for diffusion weighted imaging (DWI). This work proposes effective and efficient coverage of the excitation k-space by shearing the 2DRF trajectory. This approach enables significant improvement in off-resonance robustness of 2DRF pulses by minimizing the pulse duration. It also promises improved clinical utility by increasing SNR in problem regions, eliminating slice coverage limitations and providing inherent fat suppression capability. |
| 0780 | 16:00
|
Asymmetric GOIA pulses for highly selective B1 and T1 independent outer volume suppression |
| Chathura Kumaragamage1, Peter B Brown1, Scott McIntyre1, Terence W Nixon1, Henk M De Feyter1, and Robin A de Graaf1 | ||
1Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center, Yale University, New Haven, CT, United States |
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An asymmetric GOIA pulse was developed (Tp = 6.66 ms, BW = 20 kHz) by combining two adiabatic half passage pulses (hyperbolic secant and hyperbolic tangent GOIA modulations). The pulse achieves an asymmetrical excitation/inversion profile, thus was used in a multi-pulse OVS sequence to achieve an efficient, highly-selective, B1 and T1-independent signal suppression with a transition width of only 1.7% of the bandwidth. |
| 0781 | 16:00
|
Interleaved Binomial kT-Points for Water-Selective Imaging at 7T |
| Daniel Löwen1, Eberhard Daniel Pracht1, Rüdiger Stirnberg1, and Tony Stöcker1,2 | ||
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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Achieving homogeneous fat suppression is important for a wide range of MRI applications. In this work, we present time-efficient water-selective, parallel transmit RF excitation pulses for ultra-high field applications. This method combines the properties of kT-points with water-selective binomial pulses to achieve short, B1 insensitive water excitation pulses. |
| 0782
|
16:00
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Lipid Artifact Removal by Dynamic Shimming (LARDS) with multi-coil B0 shim arrays |
| Jinmin Xu1,2, Nicolas Arango2, Congyu Liao2,3, Berkin Bilgic2,3, Zijing Zhang1,2, Lawrence L Wald2,3, Setsompop Kawin2,3, Huafeng Liu1, and Jason P Stockmann2,3 | ||
1State key Laboratory of Modern Optical Science and Engineering, Zhejiang University, Hangzhou, China, 2A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States |
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We show that a switched B0 offset field can be used to improve lipid suppression pulse performance in 2D imaging by pushing water and lipids apart in the frequency domain. The method is realized using multi-coil B0 shim arrays with rapidly switchable output currents that can be turned on during the lipid suppression pulse. Convex optimization is used to jointly solve for the shim currents and the lipid suppression pulse center frequency to optimize lipid suppression while minimize water signal loss. Applications to brain and body imaging are considered. |
| 0783 | 16:00
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Inner Volume Excitation via Joint Design of Time-varying Nonlinear Shim-array Fields and RF Pulse |
| Molin Zhang1, Nicolas Arango1, Jason Stockmann2, Jacob White1, and Elfar Adalsteinsson1,3,4 | ||
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Inner volume excitation is a promising technique to save scanning time or improve spatial resolution. Shim arrays provide nonlinear fields that extend the possibility of RF excitation of complicated spatial patterns. Yet previous work only employed static non-linear B field and predefined RF pulse which limits the performance. Validated on a fairly difficult tailored 3d volume pattern, jointly designed time-varying nonlinear B field and RF pulse within the auto-differentiable Bloch simulator framework shows substantial improvements. The accuracy improves 62% in terms of L2 norm with incorporated constraints on available RF pulse power. |
| 0784
|
16:00
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iSLR: An Improved Shinnar-Le-Roux Frequency Selective Pulse Design Algorithm with Reduced Energy and More Accurate Phase Profiles |
| Frank Ong1, Michael Lustig2, Shreyas Vasanawala1, and John Pauly1 | ||
1Stanford University, Stanford, CA, United States, 2University of California, Berkeley, Berkeley, CA, United States |
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The Shinnar-Le-Roux (SLR) algorithm is widely used for designing frequency selective pulses with large flip angles. We improve its design process to generate pulses with lower energy (by as much as 26%) and more accurate phase profiles. Concretely, the SLR algorithm consists of designing two polynomials that represent Cayley-Klein (CK) parameters. Because the CK polynomial pair is bi-linearly coupled, the original algorithm sequentially solves for each polynomial. This results in sub-optimal pulses. Instead, we leverage a convex relaxation technique to jointly recover the CK polynomials. Our experiments show that the resulting pulses almost always attain the global solution in practice. |
| 0785 | 16:00
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DeepControl: AI-powered slice flip-angle homogenization by 2DRF pulses |
| Mads Sloth Vinding1, Christoph Stefan Aigner2, Jason Stockmann3,4, Bastien Guérin3,4, Sebastian Schmitter2,5, and Torben Ellegaard Lund1 | ||
1Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 3Harvard Medical School, Boston, MA, United States, 4Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 5Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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We test the DeepControl convolutional neural network for brain slice 2DRF 30o excitations (single-channel) at 7 T with a uniform FA profile. While the DeepControl framework was originally designed for localized 2D spatial-selective excitations, we demonstrate robustness towards FA homogenization at 7 T. Our numerical study, a comparison to gradient-ascent-pulse-engineering optimal control pulses, shows good pulse performance and (near-)conformity to the optimal control training library, including the RF pulse constraints. The DeepControl pulse prediction time takes only ~9 ms, which is more than 1000 times faster than the optimal control. |
| 0786 | 16:00
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Uniform Magnetization Transfer contrast at 7T with Direct Saturation Control |
| David Leitão1, Raphael Tomi-Tricot2, Pip Bridgen1, Tom Wilkinson1, Patrick Liebig3, Rene Gumbrecht3, Dieter Ritter3, Sharon Giles1, Ana Baburamani1, Jan Sedlacik1, Joseph V. Hajnal1,4, and Shaihan J. Malik1,4 | ||
1Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Centre for the Developing Brain, King's College London, London, United Kingdom |
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Conventional RF pulse design methods optimize for rotation of the magnetization. However, in systems with Magnetization Transfer (MT) with a semisolid pool, the dynamics do not follow the Bloch equations; saturation of the semisolid depends on |B1+|2, making it particularly sensitive to B1+ inhomogeneities. This work employs a novel pulse design framework termed ‘Direct Saturation Control’ (DSatC) to directly consider semisolid saturation. We use this to design composite pulses with spatially uniform semisolid saturation using parallel transmition at 7T, where B1+ is intrinsically highly inhomogeneous. In-vivo results show much more homogeneous MT contrast when using DSatC. |
| 0787
|
16:00
|
Submillimeter, Sub-Minute Quantitative Susceptibility Mapping using a Multi-Shot 3D-EPI with 2D CAIPIRINHA Acceleration |
| Monique Tourell1,2, Jin Jin2,3, Ashley Stewart1,2, Saskia Bollmann1, Steffen Bollmann1,2,4, Simon Robinson1,5,6, Kieran O'Brien2,3, and Markus Barth1,2,4 | ||
1Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 2ARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Australia, 3Siemens Healthcare Pty Ltd, Brisbane, Australia, 4School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia, 5High Field Magnetic Resonance Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 6Department of Neurology, Medical University of Graz, Graz, Austria |
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High-resolution Quantitative Susceptibility Mapping (QSM) has the potential to improve multiple sclerosis imaging and pre-surgical planning for deep brain stimulation. Using a conventional 3D-gradient echo sequence, imaging times for submillimeter scans can be as long as 8 to 15 minutes. In this work, we implemented a multi-shot 3D-EPI sequence combined with 2D CAIPIRINHA acceleration to achieve high-quality susceptibility maps, with no visible distortions, at 0.80 mm and 0.65 mm isotropic resolutions in 58 and 87 seconds, respectively. Multi-echo 3D-GRE sequences producing similar QSMs required up to a 9-fold increase in acquisition time. |
| 0788
|
16:00
|
ChEST: A novel model measuring both Chemical Exchange and Susceptibility Tensor from resonance frequency shift |
| Hwihun Jeong1, Hyeong-Geol Shin1, Xu Li2, Sooyeon Ji1, and Jongho Lee1 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins Medicine, Baltimore, MD, United States |
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We introduce ChEST, a novel model that can estimate both chemical exchange and magnetic susceptibility tensor effects from resonance frequency shift. For reconstruction, an iterative algorithm is designed to solve the inverse problem of the new model. When tested using numerical simulation datasets, our method successfully generated mean magnetic susceptibility, magnetic susceptibility anisotropy, principal eigenvector, and chemical exchange maps in high accuracy as compared to conventional methods. Application to in-vivo human brain was conducted, revealing promising outcomes. |
| 0789 | 16:00
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Quantitative mapping of susceptibility and non-susceptibility frequency with DEEPOLE QUASAR |
| Thomas Jochmann1, Dejan Jakimovski2, Nora Küchler1, Robert Zivadinov2,3, Jens Haueisen1, and Ferdinand Schweser2,3 | ||
1Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, 2Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 3Center 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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Besides magnetic susceptibility, MRI phase contrast is caused by chemical exchange, anisotropic magnetic susceptibility, and anisotropic microstructural compartmentalization. These additional contributions are neglected by conventional QSM. This work presents an improved version of DEEPOLE QUASAR, a phase processing method that accounts for non-susceptibility signal contributions. We present preliminary results from studies on mice, volunteers, and multiple sclerosis (MS) patients. |
| 0790
|
16:00
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Decompose QSM to diamagnetic and paramagnetic components via a complex signal mixture model of gradient-echo MRI data |
| Jingjia Chen1, Nan-Jie Gong2, and Chunlei Liu1,3 | ||
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Vector Lab for Intelligent Medical Imaging and Neural Engineering, International Innovation Center of Tsinghua University, Shanghai, China, 3Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States |
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We propose and develop a method to separate paramagnetic and diamagnetic components within one voxel based on a 3-pool signal model. Alternating between solving for linear and nonlinear parameters in the model, paramagnetic component susceptibility (PCS) and diamagnetic component susceptibility (DCS) maps are constructed to represent the sub-voxel compartments. |
| 0791
|
16:00
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Genetic associations of magnetic susceptibility in the brain |
| Chaoyue Wang1, Benjamin C. Tendler1, Stephen M. Smith1, Fidel Alfaro-Almagro1, Alberto Llera2, Cristiana Fiscone3,4, Richard Bowtell3, Lloyd T. Elliott5, Karla L. Miller1, and Aurea B. Martins-Bach1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands, 3Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 4Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy, 5Department of Statistics and Actuarial Science, Simon Fraser University, Vancouver, BC, Canada |
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UK Biobank is scanning 100,000 participants using multi-modal MRI (including swMRI). This rich resource also includes genome-wide characterisation of individuals. This provides a powerful opportunity to relate swMRI-derived measures to genetics. The aim of this work is to identify genetic associations of QSM-based measures. We carried out genome-wide association studies (GWAS) in over 30,000 subjects for both QSM and T2* based measures. Our results demonstrate that susceptibility and T2* measures are associated with genetic loci involved in a range of biological functions. Susceptibility and T2* IDPs share many common genetic associations but there are also complementary associations. |
| 0792
|
16:00
|
Preconditioned water–fat total field inversion: application to spine quantitative susceptibility mapping (QSM) |
| Christof Boehm1, Nico Sollmann2,3,4, Jakob Meineke5, Sophia Kronthaler1, Stefan Ruschke1, Michael Dieckmeyer2,3, Kilian Weiss6, Claus Zimmer2,3, Marcus R. Makowski1, Thomas Baum2,3, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 3TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 4Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany, 5Philips Research Lab, Hamburg, Germany, 6Philips Healthcare, Hamburg, Germany |
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Body-QSM remains challenging for various reasons including, (a) the incomplete separation of background- and local-fields included by assumed approximations,(b) incorrect modeling at low-SNR-voxels included by linear modeling of the inverse problem and (c) streaking artifacts. A recently developed total-field-inversion (TFI) QSM method that directly estimates the susceptibility from multi-echo data showed significant alleviation of the above artifacts. However, the original TFI method can only be applied to regions with one species. This work proposes a QSM method that directly estimates susceptibility from multi-echo data in regions where water and fat are present and demonstrates its advantages over former proposed methods. |
| 0793
|
16:00
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Quantitative susceptibility imaging to stage acute cerebral hemorrhages: A direct comparison of the mcTFI and MEDI methods |
| Allen A Champagne1,2, Yan Wen3, Magdy Selim4, Aristotelis Filippidis 5, Ajith Thomas5, Pascal Spincemaille3, Yi Wang3, and Salil Soman 6 | ||
1School of Medicine, Queen's University, Kingston, ON, Canada, 2Center for Neuroscience Studies, Queen's University, Kingston, ON, Canada, 3Radiology, Weill Cornell Medicine, New York, NY, United States, 4Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 5Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 6Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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The perceived acuity (hyperacute, acute, subacute) of intracerebral hemorrhage (ICH) dramatically impacts patient management. While CT and standard MRI are limited for staging ICH, Quantitative Susceptibility Imaging (QSM) has shown promising results for tracking the evolution of ICH, as a substrate for the pathophysiology within bleeds. Here, we compare novel multi-echo complex total field inversion (mcTFI) QSM for staging ICHs, in comparison to conventional Morphology Enabled Dipole Inversion (MEDI). mcTFI better distinguished hyperacute/acute timepoints from subacute ICHs, in comparison to MEDI, likely as a result of the robust inversion computation, inherently reducing susceptibility quantification errors and shadowing artifacts. |
| 0794
|
16:00
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The Effect of Oblique Image Slices on the Accuracy of Quantitative Susceptibility Mapping and a Robust Tilt Correction Method |
| Oliver C. Kiersnowski1, Anita Karsa1, John S. Thornton2, and Karin Shmueli1 | ||
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2UCL Queens Square Institute of Neurology, London, United Kingdom |
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Quantitative susceptibility mapping (QSM) using the MRI phase to calculate tissue magnetic susceptibility is finding increasing clinical applications. Oblique image slices are often acquired to facilitate radiological viewing and reduce artifacts. Here, we show that artifacts and errors arise in susceptibility maps if oblique acquisition is not properly taken into account in QSM. We performed a comprehensive analysis of the effects of oblique acquisition on brain susceptibility maps and compared tilt correction schemes for three susceptibility calculation methods, using a numerical phantom and human in-vivo images. We demonstrate a robust tilt correction method for accurate QSM with oblique acquisition. |
| 0795 | 16:00
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QSM of the head-and-neck at 7T using simultaneous fat-water imaging with SMURF |
| Beata Bachrata1,2, Korbinian Eckstein1, Siegfried Trattnig1,2, and Simon Daniel Robinson1,3,4 | ||
1High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Centre of Advanced Imaging, University of Queensland, Brisbane, Australia, 4Department of Neurology, Medical University of Graz, Graz, Austria |
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We address the challenges of QSM in regions outside of the brain which contain disconnected structures - leading to difficulty in masking - and significant amounts of fat with chemical shift and relaxation differences relative to water - leading to errors in susceptibility estimates. We propose a mask generation approach based on signal phase and show that the errors in susceptibility estimates can be eliminated using simultaneous fat-water imaging with SMURF. Using multi-echo acquisition and inverse-variance-weighted echo combination, we generate high CNR, chemical shift and relaxation effects-free susceptibility maps of the head-and-neck at 7T. |
| 0796 | 16:00
|
QSMART: a parallel stage QSM pipeline for suppression of cortical and venous artifacts |
| Negin Yaghmaie1,2, Warda Syeda3,4, Chengchuan Wu1,2, Yicheng Zhang1,2, Bradford A. Moffat1,4, Rebecca Glarin1,5, Scott Kolbe4,6,7, and Leigh Johnston1,2 | ||
1Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, Australia, 2Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia, 3Melbourne Neuropsychiatry Centre, The University of Melbourne, Melbourne, Australia, 4Department of Medicine and Radiology, The University of Melbourne, Melbourne, Australia, 5Department of Radiology, Royal Melbourne Hospital, Melbourne, Australia, 6Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia, 7Department of Radiology, Alfred Hospital, Melbourne, Australia |
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We propose a two-stage QSM method, Quantitative Susceptibility Mapping Artifact Reduction Technique (QSMART), in which tissue and vein susceptibility values are estimated in parallel by generating a vasculature mask from the magnitude data using a Frangi filter. Spatially Dependent Filtering is employed for the background field removal and the two susceptibility estimates are combined in the final QSM map. QSMART is compared to RESHARP/iLSQR and V-SHARP/iLSQR inversion on 7T in vivo single and multiple-orientation scans. QSMART demonstrates superior artifact suppression in the cortex and near vasculature, and is a robust tool for susceptibility estimation. QSMART code is available at https://github.com/MBCIU/QSMART. |
16:00
|
Rapid Imaging for MRI-Guided Interventions | |
| Steven P. Allen1 | ||
1Brigham Young University, Provo, UT, United States |
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Rapid imaging techniques can improve patient outcomes and reduce costs during MRI-guided interventions. This talk will cover 5 common strategies for accelerating guidance MR acquisitions and give examples of their implementation from interventional MRI programs groups across the globe. These strategies include using time wisely, reducing fields of view, multiplexing, changing k-space trajectories, skipping data. I conclude with some brief speculation on the potential use of machine learning and AI to further accelerate guidance imaging. |
16:30
|
Active Device Design for MRI-Guided Cardiovascular Catheterizations | |
| Ali Caglar Özen1,2 | ||
1Deptartment of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 2German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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In this lecture, active device design for cardiovascular interventions will be covered from a technical and a practical perspective. First, various RF coil designs and their working principles will be reviewed. Second, approaches to interface the active devices to the MRI system will be introduced. Afterwards, application of active devices from imaging to tracking will be presented. Finally, challenges and recent advancements in production, and MR safety of the active devices will be discussed. |
17:00
|
Hardware for MRI-Guided High Intensity Focused Ultrasound | |
| Allison H. Payne1 | ||
1University of Utah, Salt Lake City, UT, United States |
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MRI guided focused ultrasound combines two innovative technologies to alter tissues non-invasively. The purpose of this talk is to describe the specialized hardware required by the MRI scanner to enable these MR guided focused ultrasound procedures to be performed in the clinical MR environment. While these hardware requirements are typically treatment site specific to some degree, there are key points that can be applied to any MR guided focused ultrasound system. This talk will address three key hardware aspects, specifically the effects of the ultrasound transducer on MR imaging, radiofrequency coils, and acoustically coupling the ultrasound transducer to the patient. |
17:30
|
Case Demonstration from an Interventional MRI Suite | |
| Sherif G. Nour1 | ||
1Emory University Hospitals & School of Medicine, Atlanta, GA, United States |
18:00
|
MRI-Guided Robotic Prostate Biopsy | |
| Junichi Tokuda1 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States |
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This presentation will overview the technologies and clinical application of MRI-guided robotic prostate biopsy. Robotic devices have been developed and clinically tested in recent years to address technical challenges in MRI-guided prostate biopsy, such as the limited access to the patient in the bore, and suboptimal needle placement accuracy. I will discuss the technologies for MR-guided robotic biopsy from several key aspects, including system architecture, MRI compatibility, kinematics design, software, imaging sequences, and evaluation of needle placement accuracy. Additionally, I will review some of the published studies that have demonstrated the clinical feasibility of MRI-guided robotic prostate biopsy. |
| 0797 | 16:00
|
Native Contrast Visualization of Myocardial Radiofrequency Ablation and Acetic Acid Chemoablation Lesions at 0.55 T |
| Daniel Herzka1, Chris G. Bruce1, Rajiv Ramasawmy1, D. Korel A Yildirim1, Kendall J. O'Brien1, William H. Schenke1, Toby Rogers1,2, Adrienne E. Campbell-Washburn1,3, Robert J. Lederman 1, and Aravindan Kolandaivelu1,4 | ||
1NHLBI, Division of Intramural Research, National Institutes of Health, Bethesda, MD, United States, 2Department of Cardiology, Medstar Washington Hospital Center, Washington, DC, United States, 3Biophysics and Biochemistry Branch, Division of Intramural Research, National Institutes of Health, Bethesda, MD, United States, 4Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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This work determined feasibility of visualizing cardiac radiofrequency (RF) ablation lesions at low field (0.55 T) as well as a novel alternative method for targeted tissue destruction: acetic acid chemoablation. Native contrast T1-W imaging and T1 mapping and were carried out in vivo in swine on the day of ablation. Ex vivo high-resolution imaging and histology were used as references. T1 drop was higher for chemoablation (40%) than for RF ablation (19%) relative to myocardium, resulting in significantly higher SNR and CNRs. The visualization of coagulation necrosis from cardiac ablation is feasible using native-contrast low-field MRI. |
| 0798 | 16:00
|
Deep learning-based 4D synthetic CT for lung radiotherapy |
| Matteo Maspero1,2, Kirsten M. Kerkering2,3, Tom Bruijnen1,2, Mark H. F. Savenije1,2, Joost J. C. Verhoeff1, Christoph Kolbitsch3, and Cornelis A. T. van den Berg1,2 | ||
1Radiotherapy, Division of Imaging & Oncology, UMC Utrecht, Utrecht, Netherlands, 2Center for Computational imaging group for MR diagnostic & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, 3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany |
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The feasibility of generating synthetic CT for lung tumours from 4D MRI was investigated. A combination of multi-view 2D networks proved to be robust against image artefact and generated sCTs that enabled dose calculation on midposition sCTs. The proposed approach facilitates adaptive MR-guided radiotherapy reducing the time from patient positioning to irradiation and enables quality assurance with dose accumulation based on 4D MRI. |
| 0799 | 16:00
|
A Daily Quantitative Brain MRI Protocol for the 1.5 T MR-Linac: Feasibility of CEST with Preliminary Results on a Prospective Imaging Study |
| Rachel W. Chan1, Liam S.P. Lawrence2, Ryan T. Oglesby2, Hanbo Chen3, Brian Keller3, James Stewart3, Mark Ruschin3, Brige Chugh3,4, Scott MacKenzie3, Mikki Campbell3, Aimee Theriault3, Sten Myrehaug3, Jay Detsky3, Pejman J. Maralani5, Chia-Lin Tseng3, Gregory J. Czarnota1,2,3, Greg J. Stanisz1,2,6, Arjun Sahgal3, and Angus Z. Lau1,2 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Medical Biophysics, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Physics, Ryerson University, Toronto, ON, Canada, 5University of Toronto, Sunnybrook Health Sciences Centre, Medical Imaging, Toronto, ON, Canada, 6Department of Neurosurgery and Pediatric Neurosurgery, Medical University, Lublin, Poland |
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A multi-parametric imaging protocol, for monitoring patients with brain tumors treated using the 1.5T MR-Linac radiotherapy system, is presented with a focus on CEST. Phantom experiments were performed on the MR-Linac using varying concentrations of ammonium chloride mixtures. 24 subjects were included in the analysis. Mixed modelling was used to determine any differences between the gross tumor volume (GTV) and contralateral normal appearing white matter (cNAWM) regions, where three CEST parameters were investigated (MTRAmide, MTRNOE and Asymmetry). Results from phantom experiments confirmed detectable CEST asymmetry. Significant differences were found in all three CEST parameters between the GTV and cNAWM. |
| 0800 | 16:00
|
Spectroscopic MRI Guided Radiation Dose Escalation in Glioblastoma Patients |
| Mohammed Z Goryawala1, Eric A Mellon2, Saumya Gurbani3, Karthik Ramesh3, Brent D Weinberg4, Lawrence Kleinberg5, Eduard Schreibmann3, Sulaiman Sheriff1, Peter B. Barker6, Shu Hui-Kuo7, Hyunsuk Shim3, and Andrew Maudsley8 | ||
1Radiology, University of Miami School of Medicine, Miami, FL, United States, 2Radiation Oncology, University of Miami School of Medicine, Miami, FL, United States, 3Emory University, Atlanta, GA, United States, 4Radiology, Emory University, Atlanta, GA, United States, 5Radiation Oncology, Johns Hopkins University, Baltimore, MD, United States, 6Radiology, Johns Hopkins University, Baltimore, MD, United States, 7Radiation Oncology, Emory University, Atlanta, GA, United States, 8Radiology, University of Miami, School of Medicine, Miami, FL, United States |
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To improve localization of tumor tissue for radiation treatment planning a volumetric MR spectroscopic imaging acquisition was used to identify regions of metabolic abnormality. These regions were then integrated into the clinical treatment plan to target increased radiation dose for the identified volume. In a 3-site clinical trial of 30 patients with newly-diagnosed glioblastoma, the escalated dose resulted in a median overall survival of 23 months, which compares favorably with standard of care, without severe adverse events. This study demonstrates considerable potential for incorporating volumetric spectroscopic imaging into radiation treatment planning protocols. |
| 0801
|
16:00
|
Technical feasibility and imaging of transcranial MR-guided in-vivo Histotripsy treatment |
| Dinank Gupta1, Ning Lu1, Adam Fox1, Dave Choi1, Jonathan Sukovich1, Badih Junior Daou2, Aditya Pandey2, Timothy Hall1, Zhen Xu1, and Douglas Noll1 | ||
1Biomedical Engineering, The University of Michigan, Ann Arbor, MI, United States, 2Department of Neurosurgery, The University of Michigan, Ann Arbor, MI, United States |
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Feasibility of transcranial MR-guided histotripsy for an in-vivo large animal model is established. Eight juvenile pigs were treated using an in-house, 128 channel histotripsy array at a wide range of sites around the brain. Target localization was done using fiducials placed on the array using pre-treatment MR images. Lesions were generated in all the pigs and were visualized in post treatment MRI scans and histology. In acute treatment phase, treatment effects were visible on T2*,T2, T1/T2 FLAIR weighted images. This is the first study to exhibit feasibility of in-vivo transcranial MR-guided histotripsy treatment. |
| 0802 | 16:00
|
MR-Guided Blood-brain Barrier Opening Induced by Rapid Short-pulse Ultrasound on Non-human Primates |
| Hui Zhou1,2, Yang Liu3, Xiaojing Long3, Yangzi Qiao1, Jo Lee1, Chao Zou1,4, Xin Liu1,4, and Hairong Zheng1 | ||
1Lauterbur Imaging Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2The Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, shenzhen, China, 3Research center for medical AI，Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 4Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen, China |
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The BBB has been opened with millisecond ultrasound in kinds of animals for researching of neurological diseases therapy. Rapid short-pulse (RaSP) ultrasound with a microsecond sequence has been proposed as a minimally disruptive and efficient method for BBB opening in mice and rats. This work quantitatively evaluate the feasibility and safety of BBB opening in non-human primate with RaSP by contrast enhanced MRI. The relative signal enhancement in RaSP with 6% energy deposition reached more than 60% of that with 10 ms long pulse (LP), which shows that RaSP is a practical method for BBB opening in a large-animal model. |
| 0803 | 16:00
|
Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation |
| Siyue LI1, Shutian ZHAO1, Yongcheng YAO1, and Weitian CHEN1 | ||
1AI in Radiology Laboratory, Department of Imaging and Interventioanl Radiology, The Chinese University of Hong Kong, Hongkong, Hong Kong |
||
Accurate segmentation of the meniscus is valuable for clinical diagnosis and treatment of knee joint diseases. Due to expensive and time-consuming medical image data annotation, it is challenging to obtain sufficient labeled data for deep learning-based segmentation of meniscus. We investigated deep-learning based semi-supervised approaches with uncertainty estimation for meniscus segmentation using MR images. |
| 0804 | 16:00
|
Feasibility of deep learning–based automated rotator cuff tear measurements on shoulder MRI |
| Dana Lin1, Michael Schwier2, Bernhard Geiger2, Esther Raithel3, and Michael Recht1 | ||
1NYU Grossman School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA, Princeton, NJ, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Rotator cuff tear size is a critical determinant of patient prognosis and surgical outcomes. Radiologists routinely make rotator cuff measurements as part of their MRI interpretation, which can be tedious and subject to variation among readers. This lends itself to a potential application for deep learning to increase efficiency and decrease variability in this task. In this study, we developed a DL model to generate measurements for full-thickness supraspinatus tendon tears. |
| 0805 | 16:00
|
Evaluation of Deep-Learning Reconstructed High-Resolution 3D Lumbar Spine MRI to Improve Image Quality |
| Simon Sun1, Ek Tsoon Tan1, John A Carrino1, Douglas Nelson Mintz1, Meghan Sahr1, Yoshimi Endo1, Edward Yoon1, Bin Lin1, Robert M Lebel2, Suryanarayan Kaushik2, Yan Wen2, Maggie Fung2, and Darryl B Sneag1 | ||
1Radiology, Hospital for Special Surgery, New York, NY, United States, 2GE Healthcare, Chicago, IL, United States |
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Advances in deep-learning algorithms aiming to improve image quality have not yet been well studied for their use in clinical interpretation. In this study, we compared interobserver agreement and image quality for lumbar spine (L-spine) MRI assessment of 3D T2-weighted fast spin echo (T2w-FSE) MRI, with and without deep learning (DLRecon) reconstructions, as well as standard-of-care (SOC) 2D T2w-FSE MRI. This pilot study demonstrated that interobserver agreement for variables of interest was good to very good regardless of reconstruction or sequence type, and overall image quality of DLRecon was not inferior despite significant reduction in scanning time. |
| 0806
|
16:00
|
DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain |
| Alejandro Morales Martinez1, Jinhee Lee1, Francesco Caliva1, Claudia Iriondo1, Sarthak Kamat1, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1UCSF, San Francisco, CA, United States |
||
Large-scale analysis of the relationship between learned qMRI biomarkers and chronic knee pain. 7,437 patient timepoints reporting chronic pain were used to train three different deep learning models for bone shape, cartilage thickness, and cartilage T2 biomarkers for the femur, tibia, and patella. The true chronic knee pain predictions for each trained model were further investigated with Grad-CAM and the max activation values for each model were sorted into clinically relevant anatomical compartments for each bone. Bone shape and cartilage T2 seemed to be spatially correlated based on the results of the analysis. |
| 0807 | 16:00
|
The Effect of Activation Functions and Loss Functions on Deep Learning Based Fully Automated Knee Joint Segmentation |
| Sibaji Gaj1, Dennis Chan1, and Xiaojuan Li1 | ||
1Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States |
||
Studies on systematic evaluations of effects of activation functions and loss functions on deep learning-based automated knee compartments segmentation models are limited. In this work, we present a 2D-UNet model for simultaneous automated bone and cartilage segmentation, and analyze the effect of different activation functions (rectified linear unit[relu], sigmoid and softmax) at all or last layer, and different loss functions (categorical cross-entropy, multiclass dice coefficient loss) with and without surface distance weights, on model performance. The results showed significant performance differences in average surface distance (ASD) between different activation functions. Adding surface distance to loss functions improved segmentation performances. |
| 0808 | 16:00
|
Combined IVIM and DTI fitting of muscle DWI data using a self learning physics informed neural network |
| Martijn Froeling1 | ||
1Imaging and oncology, University medical center utrecht, Utrecht, Netherlands |
||
For accurate fitting of muscle diffusion tensor imaging data, many methods have been proposed. In this study, the performance of an unsupervised physics-informed deep learning method for IVIM-DTI fitting of muscle DTI data is investigated. The neural net comprised 9 fully connected networks and was tested on 20 upper leg DWI datasets. It trained in 45s and fitting a full dataset took around 4s. Although the parameter maps of the traditional and NN fitting look similar all parameters were significantly different. The network is capable of fitting the model within seconds but the differences need to be further investigated. |
| 0809 | 16:00
|
Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T2 Relaxation Times |
| Andrew M Schmidt1, Arjun D Desai1, Lauren E Watkins2, Hollis Crowder3, Elka B Rubin1, Valentina Mazzoli1, Quin Lu4, Marianne Black1,3, Feliks Kogan1, Garry E Gold1,2, Brian A Hargreaves1,5, and Akshay S Chaudhari1,6 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Bioengineering, Stanford University, Stanford, CA, United States, 3Mechanical Engineering, Stanford University, Stanford, CA, United States, 4Philips Healthcare North America, Gainesville, FL, United States, 5Electrical Engineering, Stanford University, Stanford, CA, United States, 6Biomedical Data Science, Stanford University, Stanford, CA, United States |
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Automated segmentation using deep-learning can expedite segmentation tasks, but algorithm generalizability to unseen datasets is unknown. Here, we used two knee segmentation algorithms, each trained separately on Osteoarthritis Initiative double-echo steady-state (DESS) scans and quantitative DESS (qDESS) scans, to segment cartilage and meniscus from qDESS datasets from four independent studies. We compared manual-vs-automatic segmentation accuracy for morphology and T2 map variations. We show that OAI-DESS-trained models may be suitable for quantifying relaxometry parameters in qDESS datasets but likely require fine-tuning to accurately quantify cartilage morphology. In contrast, qDESS-trained models generalize well to additional qDESS datasets for both morphology and T2. |
| 0810
|
16:00
|
Generative Adversarial Network for T2-Weighted Fat Saturation MR Image Synthesis Using Bloch Equation-based Autoencoder Regularization |
| Sewon Kim1, Hanbyol Jang2, Seokjun Hong2, Yeong Sang Hong3, Won C. Bae4,5, Sungjun Kim*3,6, and Dosik Hwang*2 | ||
1Electrical and electronic engineering, Yonsei University, Seoul, Korea, Republic of, 2Yonsei University, Seoul, Korea, Republic of, 3Gangnam Severance Hospital, Seoul, Korea, Republic of, 4Department of Radiology, University of California-San Diego, San Diego, CA, United States, 5Department of Radiology, VA San Diego Healthcare System, San Diego, CA, United States, 6Yonsei University College of Medicine, Seoul, Korea, Republic of |
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We proposed a Bloch equation-based autoencoder regularization Generative Adversarial Network (BlochGAN) to generate T2-weighted fat saturation (T2 FS) images from T1-weighted (T1-w) and T2-weighted (T2-w) images for spine diagnosis. Our method can reduce the cost for acquiring multi-contrast images by reducing the number of contrasts to be scanned. BlochGAN properly generates the target contrast images by using GAN trained with the autoencoder regularization based on bloch equation, which is the basic principal of MR physics for identifying the physical basis of the contrasts. Our results demonstrate that BlochGAN achieved quantitatively and qualitatively superior performance compared to conventional methods. |
| 0811 | 16:00
|
Data augmentation using features from activation maps improved performance for deep learning based automated knee prescription |
| Deepa Anand1, Dattesh Shanbhag1, Preetham Shankpal1, Chitresh Bhushan2, Desmond Teck Beng Yeo2, Thomas K Foo2, and Radhika Madhavan2 | ||
1GE Healthcare, Bangalore, India, 2GE Global Research, Niskayuna, NY, United States |
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Data augmentation techniques have been routinely used in computer vision for simulating variations in input data and avoid overfitting. Here we propose a novel method to generate simulated images using features derived from activation maps of a deep neural network, which could mimic image variations due to MRI acquisition and hardware. Gradient-weighted Class Activation Mappings were used to identify regions important to classification output, and generate images with these regions obfuscated to mimic adversarial scenarios relevant for imaging variations. Training with images using the proposed data augmentation framework resulted in improved accuracy and enhanced robustness of knee MRI image classification. |
| 0812 | 16:00
|
Ultrafast motion-minimized shoulder MRI with a deep learning constrained Compressed SENSE reconstruction |
| Jihun Kwon1, Masami Yoneyama1, Takashige Yoshida2, Kohei Yuda2, Yuki Furukawa2, Johannes M. Peeters3, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Nakano, Japan, 3Philips Healthcare, Best, Netherlands |
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Shoulder MRI is typically acquired with multiple number of signals averaged (NSA) in order to average out breathing motion artifacts. However, higher NSA leads to a longer scan time and patient discomfort. In this study, we investigated the use of a deep learning-based reconstruction algorithm to highly accelerate shoulder MRI. Adaptive-CS-Net, a deep neural network previously introduced at the 2019 fastMRI challenge, was expanded and presented here as a Compressed-SENSE Artificial Intelligence (CS-AI) reconstruction. The purpose of this study was to compare the image quality of shoulder MRI between reference and accelerated methods; SENSE, Compressed-SENSE, and CS-AI. |
| 0813
|
16:00
|
CycleSeg: MR-to-CT Synthesis and Segmentation Network for Prostate Radiotherapy Treatment Planning |
| Huan Minh Luu1, Gyu-sang Yoo2, Dong-Hyun Kim1, Won Park2, and Sung-Hong Park1 | ||
1Magnetic Resonance Imaging Laboratory, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiation Oncology, Samsung Medical Center, Seoul, Korea, Republic of |
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MR-only radiotherapy planning can reduce the radiation exposure from repeated CT scanning. Most researches focus on generating synthetic CT images from MR, but not the contouring of organs-of-interest in said images, which requires manual labor and expertise. In this study, we proposed CycleSeg, a CycleGAN-based network that can accomplish both tasks to streamline the process and reduce human efforts. Experiments showed that the proposed CycleSeg can generate realistic synthetic CT images along with accurate organ segmentation in the pelvis of patients with prostate cancer. |
| 0814
|
16:00
|
Differential Diagnosis of Prostate Cancer and Benign Prostatic Hyperplasia Based on Prostate DCE-MRI by Using Deep Learning with Different Peritumoral Areas |
| Yang Zhang1,2, Weikang Li3, Zhao Zhang3, Yingnan Xue3, Yan-Lin Liu2, Peter Chang2, Daniel Chow2, Ke Nie1, Min-Ying Su2, and Qiong Ye3,4 | ||
1Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, United States, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, The First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China, 4High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China |
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A bi-directional Convolutional Long Short Term Memory (CLSTM) Network was previously shown capable of differentiating prostate cancer and benign prostate hyperplasia (BPH) based DCE-MRI that acquired 40 time frame images. The purpose of this work was to investigate the diagnostic value of peritumoral tissues. Several different methods were used to expand peritumoral tissues surrounding the lesion, and they were used as the input to the diagnostic network. A total of 135 cases were analyzed, including 73 prostate cancer and 62 BPH. Based on 4-fold cross-validation, the region growing based ROI had the best performance, with a mean AUC of 0.89. |
| 0815
|
16:00
|
A Prior-Knowledge Embedded Convolutional Neural Network for Extracapsular Extension of the Prostate Cancer at Multi-Parametric MRI |
| Yihong Zhang1, Ying Hou2, Jie Bao3, Yang Song1, Yu-dong Zhang2, Xu Yan4, and Guang Yang1 | ||
1East China Normal University, Shanghai, China, 2the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 3the First Affiliated Hospital with Soochow University, Soochow, China, 4Siemens Healthcare, Shanghai, China |
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We proposed an algorithm to incorporate radiologist’s prior-knowledge about location of extension into a CNN model to diagnose the extracapsular extension of the prostate cancer from multiparametric MRI (mpMRI). The model was trained on 596 cases with ensemble learning before validated with an independent validation cohort of 150 cases and an external cohort of 103 cases. Our proposed model achieved an area under receiver operating characteristic curve (AUC) of 0.807/0.728 on the internal/external test cohort, which is better than the traditional model (AUC=0.746/0.723) and the clinical reports by two radiologists (AUC=0.725, 0.632/0.694, 0.712). |
| 0816
|
16:00
|
Prostate Cancer Detection on T2-weighted MR images with Generative Adversarial Networks |
| Alexandros Patsanis1, Mohammed R. S. Sunoqrot 1, Elise Sandsmark 2, Sverre Langørgen 2, Helena Bertilsson 3,4, Kirsten M. Selnæs 1,2, Hao Wang5, Tone F. Bathen 1,2, and Mattijs Elschot 1,2 | ||
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology - NTNU, Trondheim, Norway, 2Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 3Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology - NTNU, Trondheim, Norway, 4Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 5Department of Computer Science, Norwegian University of Science and Technology - NTNU, Gjøvik, Norway |
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Generative Adversarial Networks (GANs) were evaluated for detection and visualization of prostate cancer, proposing an automated end-to-end pipeline. Two GANs were trained and tested with T2-weighted images from an in-house dataset of 646 patients. The weakly-supervised GAN performed better (AUC=0.785) than unsupervised GAN (AUC=0.462). The performance of the GANs was dependent on pre-processing parameters. The PROSTATEx dataset (N=204) was used for external validation, giving an AUC of 0.642. The weakly-supervised GAN showed promise for detecting and localizing prostate cancer on T2W MRI, but further research is necessary to improve model performance and generalizability. |
| 0817 | 16:00
|
Texture-Based Deep Learning for Prostate Cancer Classification with Multiparametric MRI |
| Yongkai Liu1,2, Haoxin Zheng1, Zhengrong Liang3, Miao Qi1, Wayne Brisbane4, Leonard Marks4, Steven Raman1, Robert Reiter4, Guang Yang5, and Kyunghyun Sung1 | ||
1Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine IDP, University of California, Los Angeles, Los Angeles, CA, United States, 3Departments of Radiology and Biomedical Engineering, Stony Brook University, Stony Brook, New York, NY, United States, 4Department of Urology, University of California, Los Angeles, Los Angeles, CA, United States, 5National Heart and Lung Institute, Imperial College London, London, United Kingdom |
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Accurate classification of prostate cancer (PCa) enables better prognosis and selection of treatment plans. We presented a textured-based deep learning method to enhance prostate cancer classification performance by enriching deep learning with prostate cancer texture information. |
| 0818
|
16:00
|
Incorporating UDM into Deep Learning for better PI-RADS v2 Assessment from Multi-parametric MRI |
| Ruiqi Yu1, Ying Hou2, Yang Song1, Yu-dong Zhang2, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Jiangsu, China |
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Prostate cancer is one of the most important causes of cancer-incurred deaths among males. The prostate imaging reporting and data system (PI-RADS) v2 standardizes the acquisition of multi-parametric magnetic resonance images (mp-MRI) and identification of clinically significant prostate cancer. We purposed a convolutional neural network which integrated an unsure data model (UDM) to predict the PI-RADS v2 score from mp-MRI. The model achieved an F1 score of 0.640, which is higher than that of the ResNet-50. On an independent test cohort of 146 cases, our model achieved an accuracy of 64.4%. |
| 0819 | 16:00
|
Explainable AI for CNN-based Prostate Tumor Segmentation in Multi-parametric MRI Correlated to Whole Mount Histopathology |
| Deepa Darshini Gunashekar1, Lars Bielak1,2, Arnie Berlin3, Leonard Hägele1, Benedict Oerther4, Matthias Benndorf4, Anca Grosu2,4, Constantinos Zamboglou2,4, 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, 3The MathWorks, Inc., Novi, MI, United States, 4Dept.of Radiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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An explainable deep learning model was implemented to interpret the predictions of a convolution neural network (CNN) for prostate tumor segmentation. The CNN automatically segments the prostate gland and prostate tumors in multi-parametric MRI data using co-registered whole mount histopathology images as ground truth. For the interpretation of the CNN, saliency maps are generated by generalizing the Gradient Weighted Class Activation Maps method for prostate tumor segmentation. Evaluations on the saliency method indicate that the CNN was able to correctly localize the tumor and the prostate by targeting the pixels in the image deemed important for the CNN's prediction. |
| 0820 | 16:00
|
Prostate Lesion Segmentation on VERDICT-MRI Driven by Unsupervised Domain Adaptation |
| Eleni Chiou1,2, Francesco Giganti3,4, Shonit Punwani5, Iasonas Kokkinos2, and Eleftheria Panagiotaki1,2 | ||
1Centre of Medical Image Computing, University College London, London, United Kingdom, 2Department of Computer Science, University College London, London, United Kingdom, 3Department of Radiology, UCLH NHS Foundation Trust, University College London, London, United Kingdom, 4Division of Surgery & Interventional Science, University College London, London, United Kingdom, 5Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom |
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In this work we utilize unsupervised domain adaptation for prostate lesion segmentation on VERDICT-MRI. Specifically, we use an image-to-image translation method to translate multiparametric-MRI data to the style of VERDICT-MRI. Given a successful translation we use the synthesized data to train a model for lesion segmentation on VERDICT-MRI. Our results show that this approach performs well on VERDICT-MRI despite the fact that it does not exploit any manual annotations. |
| 0821
|
16:00
|
Accelerated Diffusion-Relaxation Correlation Spectrum Imaging (DR-CSI) for Ex Vivo and In Vivo Prostate Microstructure Mapping |
| Zhaohuan Zhang1, Sohrab Afshari Mirak1, Melina Hosseiny1, Afshin Azadikhah1, Amirhossein Mohammadian Bajgiran1, Alan Priester2, Kyunghyun Sung1, Anthony Sisk3, Robert Reiter2, Steven Raman1, Dieter Enzmann1, and Holden Wu1 | ||
1Department of Radiological Sciences, UCLA, Los Angeles, CA, United States, 2Department of Urology, UCLA, Los Angeles, CA, United States, 3Department of Pathology, UCLA, Los Angeles, CA, United States |
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Diffusion-relaxation correlation spectrum imaging (DR-CSI) can map prostate microstructure in both ex vivo and in vivo imaging. However, the translation of prostate DR-CSI to in vivo applications faces technical challenges regarding trade-offs between scan time and accuracy. The goal of this study was to develop a data-driven systematic framework to evaluate and select subsampled DR-CSI echo time and b-values encoding schemes that reduce scan time while maintaining accuracy of estimated prostate microstructure parameters. |
| 0822
|
16:00
|
Characterization of motion-induced phase errors in prostate DWI |
| Sean McTavish1, Anh T. Van2, Kilian Weiss3, Johannes M. Peeters4, Marcus R. Makowski2, Rickmer F. Braren2, and Dimitrios C. Karampinos2 | ||
1Technical University of Munich, Munich, Germany, 2Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 3Philips Healthcare, Hamburg, Germany, 4Philips Healthcare, Best, Netherlands |
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In order to improve resolution without increasing geometric distortions, there is an ongoing interest in multi-shot DWI in the prostate due to the high clinical significance of prostate DWI for tumor staging and therapy monitoring. However, intershot phase variations require phase error estimation and correction to reconstruct the multi-shot DWI data. Since free-breathing scans are normally used in prostate DWI, respiratory motion can be a significant source of phase errors in the prostate. The present work aims to characterize and investigate the link between respiratory motion and phase errors in the prostate. |
| 0823 | 16:00
|
Evaluation of primary and secondary collateral pathways in carotid artery stenosis patients before and after revascularization therapy |
| Lena Schmitzer1, Alexander Seiler2, Nico Sollmann1, Christine Preibisch1,3, Kilian Weiss4, Claus Zimmer1, Fahmeed Hyder5, Jens Göttler1,5, and Stephan Kaczmarz1,5 | ||
1School of Medicine, Department of Neuroradiology, Technical University of Munich, Munich, Germany, 2Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany, 3School of Medicine, Clinic of Neurology, Technical University of Munich, Munich, Germany, 4Philips Healthcare, Hamburg, Germany, 5MRRC, Yale University, New Haven, CT, United States |
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Internal carotid artery stenosis (ICAS) is a well-known risk factor for stroke. While collaterals play a pivotal role in ischemic stroke, their effects in ICAS are not entirely understood. We assessed primary collaterals, i.e., configuration of the Circle of Willis by MR-Angiography, and high Coefficients of Variance in Dynamic Susceptibility Contrast MRI as surrogate of secondary collaterals. Moreover, individual watershed areas (iWSA) were determined in a group of ICAS patients and healthy volunteers. Our results demonstrate post-interventional shifts of iWSA, mainly influenced by primary collateral flow. No secondary collateral flow was found in patients similar to age-matched healthy participants. |
| 0824
|
16:00
|
Inner volume 3D TSE using optimized spatially selective excitation pulses for vessel wall imaging of intracranial perforating arteries at 7T |
| Qingle Kong1,2, Yue Wu1, Dehe Weng3, Jing An3, Yan Zhuo1,4, and Zihao Zhang1,4 | ||
1Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 3Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 4The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China |
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The impairment of microvessels can lead to neurologic diseases such as stroke and vascular dementia. The imaging of lumen and vessel wall of perforating arteries requires an extremely high resolution due to their small caliber size. In this study, we developed a 3D inner-volume (IV) TSE (SPACE) sequence with optimized spatially selective excitation (SSE) RF pulses. High resolution of isotropic 0.30mm within ten minutes was achieved for the black- blood images of lenticulostriate artery (LSA) for the first time. The IV-SPACE images showed clearer delineation of vessel wall and lumen of LSA than conventional SPACE images. |
| 0825
|
16:00
|
Evaluation of leptomeningeal collaterals by DSC-based signal variance and hemodynamic features in asymptomatic carotid artery stenosis |
| Stephan Kaczmarz1,2, Lena Schmitzer1, Jens Göttler1,2, Kilian Weiss3, Christian Sorg1, Claus Zimmer1, Fahmeed Hyder2, Christine Preibisch1, and Alexander Seiler4 | ||
1School of Medicine, Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany, 2MRRC, Yale University, New Haven, CT, United States, 3Philips Healthcare, Hamburg, Germany, 4Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany |
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Detection of leptomeningeal collateral blood flow has high clinical relevance, but clinically applicable imaging methods are lacking. While a novel approach based on coefficient of variance (CoV) analysis of dynamic susceptibility contrast (DSC) MRI was recently proposed, relations to hemodynamic alterations remained unknown. Moreover, the role of leptomeningeal collaterals in internal carotid artery stenosis (ICAS) is under debate. We present multi-parametric hemodynamic evaluation within high CoV-voxels from 29 asymptomatic ICAS-patients and 30 age-matched healthy controls. Our results suggest no enhanced leptomeningeal collateral recruitment in asymptomatic ICAS. However, hemodynamic characteristics imply detection of voxels that are prone to future leptomeningeal recruitment. |
| 0826 | 16:00
|
GraspMRA: High Temporal Resolution, Non-Contrast Enhanced, Time-Resolved 4D MR Angiography Using Golden-angle Radial Sparse Parallel Imaging |
| Li Feng1 and Lirong Yan2 | ||
1Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States |
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Non-contrast enhanced 4D MRA has emerged as a promising approach in charactering flow dynamics. The major challenge of conventional 4D MRA is relatively long scan time. Recently developed 4D MRA combining golden-angle stack-of-stars acquisition and compressed sensing reconstruction can significantly shorten scan time. However, this method only exploits spatial sparsity based on individual frames. The current study aims to test the feasibility of a newly developed low-rank and sparsity-based image reconstruction method to highly accelerate 4D MRA. Our initial results suggest that higher acceleration rates can be achieved using GraspMRA without compromising image quality and temporal fidelity. |
| 0827 | 16:00
|
Cerebrovascular relative pressure assessment using 4D Flow MRI – accuracy of image-based estimation approaches |
| David Marlevi1, Jonas Schollenberger2, Maria Aristova3, Edward Ferdian4, Alistair A Young4,5, Elazer R Edelman1, Susanne Schnell3,6, C. Alberto Figueroa2, and David Nordsletten2,5 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2University of Michigan, Ann Arbor, MI, United States, 3Northwestern University, Chicago, IL, United States, 4University of Auckland, Auckland, New Zealand, 5King's College London, London, United Kingdom, 6University of Greifswald, Greifswald, Germany |
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4D Flow MRI images cerebrovascular blood flow in-vivo, however, estimation of relative pressure is difficult due to the unique flow and anatomies found in the brain. We evaluated the performance of three different techniques (reduced Bernoulli (RB); unsteady Bernoulli (UB); virtual Work-Energy Relative Pressure (vWERP)) for cerebrovascular assessment. Using patient-specific in-silico models, we show that accurate estimations are dependent on sufficient spatial resolution (dx < 0.75 mm3) and used approach (vWERP achieving accurate estimates; RB/UB showing systematic underestimation bias). With similar dependencies indicated in-vivo, these results underline both potentials and challenges of mapping cerebrovascular relative pressure by 4D Flow MRI. |
| 0828 | 16:00
|
Vessel distance mapping for deep gray matter structures |
| Hendrik Mattern1, Stefanie Schreiber2,3,4, and Oliver Speck1,3,4,5 | ||
1Biomedical Magnetic Resonance, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany, 2Department of Neurology, Otto-von-Guericke-University, Magdeburg, Magdeburg, Germany, 3German Center for Neurodegenerative Disease, Magdeburg, Germany, 4Center for Behavioral Brain Sciences, Magdeburg, Germany, 5Leibniz Institute for Neurobiology, Magdeburg, Germany |
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Vessel distance mapping (VDM) is proposed as a novel tool to enable quantitative and qualitative assessment of vascular patterns in deep gray matter structures. At 7T, ToF angiography and QSM were used to depict the arterial and venous vasculature in six subjects. Based on vessel segmentations, vessel distance maps were generated by computing the Euclidean distance of each non-vessel voxel to its closest vessel. Compared to state-of-the-art methods, VDM interpolates the sparse vessel data to enable new ways to analyze vascular patterns with respect to the surrounding structure. |
| 0829 | 16:00
|
Recanalization of Acute Intracranial Large Vessel Occlusions: Novel Findings from High-Resolution Vessel Wall Imaging |
| Chen Cao1,2, Jing Lei2, Yan Gong3, Song Jin2, Jinxia Zhu4, Ming Wei5, and Shuang Xia6 | ||
1Department of Radiology, First Central Clinical College, Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China, 3Department of Radiology, Tianjin Medical University Nankai Hospital, Tianjin, China, 4MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 5Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China, 6Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China |
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Pre-operative recanalization assessment for acute intracranial large-vessel occlusion (LVO) can help optimize endovascular therapy and shorten procedural times. We prospectively examined 46 patients with acute intracranial LVO who underwent high-resolution magnetic resonance imaging (HRMRI) before endovascular therapy. HRMRI had good agreement with angiographic assessment of the causes of occlusion (κ=0.89, 95% CI, 0.69–1.00) and length of occlusion (concordance correlation coefficient=0.75, 95% CI, 0.59–0.86). Intraluminal enhancement was associated with procedural complexity (r=0.81, P< .001) and procedural times (r=0.64, P< .001). HRMRI before recanalization can help define the vascular status and assist with endovascular therapy of acute intracranial LVOs. |
| 0830 | 16:00
|
Characterization of radiological findings in mouse models of cerebral small vessel diseases using multimodal MRI at 14.1 Tesla |
| Xiao Gao1, Xiaowei Wang2, Kai Qiao1, Cassandre Labelle-Dumais2, Douglas Gould2, and Myriam M. Chaumeil1 | ||
1Department of Radiology, University of California, San Francisco, San Francisco, CA, United States, 2Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States |
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Cerebral small vessel diseases (cSVDs) are a group of conditions that account for up to 30% of strokes. Clinical manifestations associated with cSVD 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 innovative mouse models of cSVD caused by mutations in Collagen type IV alpha 1 (Col4a1). By leveraging several image processing toolboxes, we established a workflow that could successfully differentiate between disease subtypes based on the spatial distribution and volume of lesions. |
| 0831 | 16:00
|
Mechanisms of cerebral ischemic stroke recovery from stem cell derived therapies assessed via MRI at 21.1 T |
| Shannon Helsper1,2, Xuegang Yuan1,2, and Samuel Colles Grant1,2 | ||
1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States |
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This study evaluates therapeutic efficacy of human mesenchymal stem cell (hMSC) derived treatments applied to an ischemic stroke rat model. The goal is to determine if the presence of hMSC or hMSC derivatives in an ischemic region is required or if delivery of cell secretions alone can improve outcomes, either locally at the lesion or by recruiting regenerative neural progenitor cells. Biochemical markers of tissue recovery measured longitudinally using sodium chemical shift imaging and relaxation-enhanced MR spectroscopy at 21.1 T enables increased sensitivity, enabling insight into ionic and metabolic regulation while enabling to determine therapy efficacy. |
| 0832
|
16:00
|
Mesenchymal Stem Cell Impacts on Cerebral Microstructural Diffusion Recovery After Ischemic Attack |
| Frederick A Bagdasarian1,2, Xuegang Yuan1,2, and Samuel Colles Grant1,2 | ||
1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States |
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DTI, NODDI and DKI techniques were applied to diffusion data acquired at 21.1 T to identify microtissue changes in ischemic brain tissue following adult human mesenchymal stem cell (hMSC) or control treatment. Scanning was conducted 1-21 d post-MCAO and treatment. 2D hMSC significantly reduced cell swelling (ICVF) at nearly every time-point in white matter while preserving orientation integrity (ODI), normal levels of DTI metrics, and early phase kurtosis. In grey matter, 2D hMSC restored DTI metrics to naïve levels quicker than control treatments, as did ICVF and ODI. Kurtosis had high variability, with minor trends evident. |
16:00
|
MR Artifacts Game Show | |
| Avery J.L. Berman1 | ||
1A.A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA, United States |
16:30
|
MR Artifacts Game Show | |
| Kevin Matthew Koch1 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States |
| 17:00 | Basic Python Programming |
| Saige Rutherford |
| 17:30 | Scientific Computing with Python |
| Agah Karakuzu |
| 0833 | 18:00
|
B-spline Parameterized Joint Optimization of Reconstruction and K-space Sampling Patterns (BJORK) for Accelerated 2D Acquisition |
| Guanhua Wang1, Tianrui Luo1, Jon-Fredrik Nielsen1, Jeffrey A. Fessler2, and Douglas C. Noll1 | ||
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States |
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The proposed approach, BJORK, provides a robust and generalizable workflow to jointly optimize non-Cartesian sampling patterns and a physics-informed reconstruction. Several approaches, including re-parameterization of trajectories, multi-level optimization, and non-Cartesian unrolled neural networks, are introduced to improve training effect and avoid sub-optimal local minima. The in-vivo experiments show that the networks and trajectories learned on simulation dataset are transferable to the real acquisition even with different parameter-weighted MRI contrasts and noise-levels, and demonstrate improved image quality compared with previous learning-based and model-based trajectory optimization methods. |
| 0834 | 18:00
|
Accelerated Ultrahigh Temporal-Resolution MRI with Random k-Space Undersampling |
| Qingfei Luo1, Zheng Zhong1,2, Kaibao Sun1, and Xiaohong Joe Zhou1,2,3 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, 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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It has been reported that a new sequence, epi-SPEEDI, can offer sub-millisecond temporal resolution, but its scan time is relatively long due to phase-encoding. In this study we propose an accelerated version of epi-SPEEDI (named epi-SPEEDI-kt) that improves the acquisition efficiency of epi-SPEEDI by randomly undersampling the k-space, followed by image reconstruction using joint spatiotemporal partial separability and sparsity constraints. Through a human imaging example for visualizing the dynamics of aortic valve, we demonstrated that epi-SPEEDI-kt can provide comparable image quality to epi-SPEEDI and reduce the scan time by ~50% concurrently. This acceleration is expected to enhance SPEEDI applications. |
| 0835 | 18:00
|
ECcentric Circle ENcoding TRajectorIes for Compressed-sensing (ECCENTRIC): A fully random non-Cartesian sparse k-space sampled MRSI at 7 Tesla |
| Antoine Klauser1,2,3, Bernhard Strasser2,4, Wolfgang Bogner4, Lukas Hingerl4, Claudiu Schirda5, Bijaya Thapa2, Daniel Cahill6, Tracy Batchelor7, François Lazeyras1,3, and Ovidiu Andronesi2 | ||
1Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3CIBM Center for Biomedical Imaging, Geneva, Switzerland, 4High‐Field MR Center, Department of Biomedical Imaging and Image‐guided Therapy, Medical University of Vienna, Vienna, Austria, 5Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 6Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 7Department of Neurology, Brigham and Women, Harvard Medical School, Boston, MA, United States |
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A new encoding trajectory for magnetic resonance spectroscopic imaging was developed and implemented on a 7T human scanner. ECcentric Circle ENcoding TRajectorIes for Compressed-sensing (ECCENTRIC) is a spatial-spectral encoding strategy optimized for random non-Cartesian sparse Fourier domain sampling. Acceleration by undersampling ECCENTRIC prevents coherent aliasing artefacts in the spatial response function. ECCENTRIC allows smaller circles to avoid temporal interleaving for large matrix size, which is beneficial for spectral quality. Circle trajectories need limited gradient slewrate without rewinding deadtime, and are robust to timing imperfection and eddy-current delays. |
| 0836
|
18:00
|
Faster fetal whole-heart anatomical and blood flow 4D cine MRI with k-t SWEEP |
| Thomas A Roberts1, Laurence H Jackson1, Joshua FP van Amerom2, Alena Uus1, Anthony N Price1, Johannes K Steinweg1, David FA Lloyd1,3, Milou PM van Poppel1, Kuberan Pushparajah3, Mary A Rutherford1, Reza Razavi1,3, Maria Deprez1, and Joseph V Hajnal1 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Division of Pediatric Cardiology, The Hospital for Sick Children, Toronto, ON, Canada, 3Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom |
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MRI of the fetal heart is challenging due to fetal motion and its small size. Previously, we have demonstrated a method for simultaneous 4D anatomical and blood flow imaging of the whole fetal heart. However, the acquisition takes at least 14 minutes, which is unfavourable for routine clinical usage. Here, we combine k-t SENSE with SWEEP excitation to acquire a continuous sequence of images through the heart. The removal of dummy pulses due to SWEEP excitation reduces our acquisition time by 17%. We also acquire one-third fewer frames compared to our conventional method, resulting in a 45% faster acquisition time. |
| 0837
|
18:00
|
SPRING-RIO TSE: 2D T2-Weighted Turbo Spin-Echo Brain Imaging using SPiral RINGs with Retraced In/Out Trajectories |
| Zhixing Wang1, Steven Allen1, Xue Feng1, John P. Mugler2, and Craig H. Meyer1 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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This study presents a new approach to 2D TSE imaging using annular spiral rings with a retraced in/out trajectory, dubbed “SPRING-RIO TSE”, for fast T2-weighted brain imaging. Annular rings with retraced in/out segments offer benefits for reducing T2 decay induced artifacts and self-correction of moderate off-resonance effects. Phantom and human results show that high-quality T2-weighted images can be acquired with higher scan efficiency and reduced SAR, when compared with Cartesian TSE imaging. |
| 0838 | 18:00
|
Rapid T2-DIADEM Echo-Planar Imaging as an Alternative to T2-FSE: A Clinical Feasibility Study |
| Myung-Ho In1, Norbert G Campeau1, John III Huston1, Zijing Dong2,3, Kawin Setsompop4,5, Daehun Kang1, Uten Yarach6, Yunhong Shu1, Joshua D Trzasko1, and Matt A Bernstein1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 4Department of Radiology, Stanford University, Stanford, CA, United States, 5Stanford University, Stanford, CA, United States, 6Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand |
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Rapid high-resolution echo-planar-imaging (EPI) with improved image quality could conceivably be utilized as a high-speed alternative to conventional T2-weighted fast-spin-echo imaging (T2-FSE). A variant of multi-shot EPI, DIADEM (distortion-free imaging: a double encoding method), was recently described (5) and shown to yield high quality, high resolution images free of spatial distortion. In this work, a T2-weighted DIADEM pulse sequence was optimized with self-calibrated, tilted-CAIPI reconstruction scheme and then comparatively evaluated to T2-FSE images of the brain in 24 human subjects by two neuroradiologists. |
| 0839 | 18:00
|
Spiral Cardiac bSSFP with Phase-Modulation to Enable Long Repetition Times |
| Michael Schär1 | ||
1Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Recently, it was shown that phase-modulated balanced steady-state free precession (bSSFP) offers banding-free radial cine bSSFP images. Because this novel approach for bSSFP overcomes the need for short repetition times (TR), this work proposes to use more efficient spiral readouts with long TR of 15 ms. Banding free bSSFP cine images are demonstrated for either high temporal or high spatial resolution. The long TR furthermore facilitates fat suppression with spatial-spectral water-only excitation pulses which could improve depiction of the coronary arteries. Out of slice signal pileup at dark band frequencies is shown to be reduced with pre-saturation of those frequencies. |
| 0840
|
18:00
|
Echo-train bSSFP for Rapid Golden-angle Radial Sampling |
| Kaibao Sun1, Zheng Zhong1,2, Kezhou Wang1, and Xiaohong Joe Zhou1,2,3 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, 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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Golden-angle radial sampling based on single-echo bSSFP has been increasingly used in MRI. In a method known as ETGAR (echo-train golden-angle radial), a series of spokes separated by a golden angle are acquired within a TR to accelerate data sampling. A main disadvantage is that the large inter-echo steering gradients can lead to a longer TR and trigger eddy currents. We herein demonstrate an alternative golden-angle radial sequence – ETGAR-II – to overcome the afore-mentioned issues. This novel sequence, together with an integrated phase-correction algorithm has been demonstrated on phantoms and human to obtain high quality images with 36% scan time reduction. |
| 0841 | 18:00
|
A whole-blade turboPROP technique with motion correction for rapid and robust DWI |
| Zhiqiang Li1, Melvyn B Ooi2, and John P Karis1 | ||
1Neuroradiology, Barrow Neurological Institute, Phoenix, AZ, United States, 2Philips Healthcare, Gainesville, FL, United States |
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DW-MRI is an invaluable technique for the diagnosis of neurological disorders. ssEPI is time efficient but suffers from geometric distortions. DW-PROPELLER and its variants, including turboPROP, have been proposed for generating distortion-free images. This project proposes a new whole-blade acquisition mode with phase correction in reconstruction to increase the blade width and consequently reduce the scan time by a factor of ~2, relative to the original turboPROP. Furthermore, the increased blade width allows for robust motion correction, which was typically not performed in PROPELLER-based DWI. In vivo results demonstrate advantages over ssEPI, and recently released product msEPI and SPLICE-PROPELLER. |
| 0842
|
18:00
|
Fast and quiet 3D MPRAGE using a silent gradient axis - sequence development |
| Edwin Versteeg1, Sarah M. Jacobs1, Ícaro A.F. Oliveira2, Dennis W.J. Klomp1, and Jeroen C.W. Siero1,2 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Spinoza centre for neuroimaging Amsterdam, Amsterdam, Netherlands |
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Sound levels in MRI can be reduced by switching a silent gradient axis beyond the hearing threshold. In this work, we implemented a silent readout module that applies such a silent gradient axis (at 7T) to a 3D MPRAGE sequence. This resulted in a sequence that featured a much lower peak sound level (26 dB reduction), similar image contrast and imaging time compared to a conventional MPRAGE-scan. This shows that a silent gradient axis provides a pathway to fast and quiet brain imaging with the potential to translate to other field strengths. |
| 0843 | 18:00
|
A Method for Measuring B0 Field Inhomogeneity using Quantitative DESS (qDESS) |
| Marco Barbieri1, Akshay S. Chaudhari1,2, Catherine J. Moran1, Garry E. Gold1,3, Brian A. Hargreaves1,3,4, and Feliks Kogan1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Biomedical Data Science, Stanford University, Stanford, CA, United States, 3Department of Bioengineering, Stanford University, Stanford, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States |
||
Quantitative T2 mapping is a valuable tool for studying OA changes. qDESS is a rapid sequence that provides accurate T2 measurements and SNR-efficient morphological imaging. B0 mapping is an auxiliary scan acquired to correct field inhomogeneity-induced errors using techniques such as WASSR and 2-GRE. This work proposes a method for B0 mapping that exploits the phase difference between the two echoes acquired with qDESS. The experiments with phantom and in-vivo simultaneous bilateral knee acquisitions showed that the B0 maps obtained with the qDESS method were in good agreement with those obtained using the WASSR method and the 2-GRE method. |
| 0844 | 18:00
|
Analysis of Diffusion Changes in Patients with Juvenile Osteochondritis Dissecans (JOCD) of the Knee at 3T |
| Abdul Wahed Kajabi1,2,3, Stefan Zbyn1,3, Cyrus M. Nouraee1, Kai D. Ludwig1,3, Casey P. Johnson1,4, Steen Moeller1, Mark A. Tompkins5, Bradley J. Nelson5, Gregory J. Metzger1, Cathy S. Carlson4, and Jutta M. Ellermann1,3 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 3Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 4Department of Veterinary Clinical Sciences, University of Minnesota, Minneapolis, MN, United States, 5Department of Orthopaedic Surgery, University of Minnesota, Minneapolis, MN, United States |
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This 3T study evaluates 46 juvenile osteochondritis dissecans (JOCD) lesions of 41 skeletally immature patients using clinical, morphological MRI and diffusion-weighted MRI (DWI). In this study, apparent diffusion coefficient (ADC) values were able to differentiate between healed and not yet healed JOCD lesions, and distinguish between the operative and nonoperative treatment groups. DWI provides noninvasive, quantitative assessment of disease status which may help inform clinical management of JOCD. Further follow-up studies are needed to evaluate the potential of DWI for the prediction of lesion healing in JOCD patients. |
| 0845 | 18:00
|
Simultaneous anatomical, pathological and T2 quantitative knee imaging with 3D submillimeter isotropic resolution using MIXTURE |
| Takayuki Sakai1,2, Masami Yoneyama3, Atsuya Watanabe4,5, Daichi Murayama1, Shigehiro Ochi1, Shuo Zhang6, and Tosiaki Miyati7 | ||
1Radiology, Eastern Chiba Medical Center, Tonage, Japan, 2Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan, 3Philips Japan, Tokyo, Japan, 4General Medical Services, Chiba University Graduate School of Medicine, Chiba, Japan, 5Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan, 6Philips Healthcare, Hamburg, Germany, 7Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan |
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We propose a new sequence called MIXTURE (Multi-Interleaved X-prepared TSE with inTUitive RElaxometry). MIXTURE is a 3D TSE that can set arbitrary echo times using the T2 preparation pulses, and enables several image contrasts (such as PDW, T2W) and T2 mapping by acquiring at least two echo time images. In this study, we evaluated the clinical feasibility of morphological and pathological MRI with two contrasts images and quantitative MRI with T2 mapping using MIXTURE. |
| 0846 | 18:00
|
Association Between UTE-MRI T2* Relaxation Times and Symptoms During Exercise Therapy for Patellar Tendinopathy |
| Stephan J. Breda1, Robert-Jan de Vos2, Dirk Poot1, Gabriel Krestin1, Juan A. Hernandez-Tamames1, and Edwin Oei1 | ||
1Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands, 2Orthopaedics, Erasmus Univerity Medical Center, Rotterdam, Netherlands |
||
Patellar tendinopathy (PT) is an overuse injury of the patellar tendon in athletes involving typical degenerative changes to the patellar tendon. The association of MRI-assessed structural changes with symptoms is largely unknown. UTE-MRI was implemented to study longitudinal changes in T2* within the patellar tendon in athletes performing exercise therapy for PT. We found that T2* relaxation times in the degenerative tissue of the patellar tendon were associated with symptom severity and that decreased T2* was associated with clinical improvement. |
| 0847 | 18:00
|
Differences in distribution of MRI-based fat fraction in lower limb skeletal muscles of six different neuromuscular disorders |
| Harmen Reyngoudt1,2, Pierre-Yves Baudin1,2, Ericky C.A. Araujo1,2, Pierre G. Carlier3, and Benjamin Marty1,2 | ||
1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France, 2NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France, 3CEA, DRF, Service Hospitalier Frédéric Joliot, Orsay, France |
||
Quantitative MRI fat-water separation techniques such as Dixon are often used to evaluate disease progression in muscle of neuromuscular diseases. Although the mean fat fraction (FF) value per region of interest (ROI) is a valuable objective MRI biomarker, it does not reflect the variation of FF within this ROI. In this study we analyzed 6582 muscle ROIs in leg and thigh of 6 different neuromuscular diseases and analyzed, besides the mean FF, other statistical metrics such as median, standard deviation, kurtosis and skewness. The differences in FF distribution might reveal additional information about the individual patient’s disease evolution. |
| 0848 | 18:00
|
Tumor T1 for early chemotherapeutic response evaluation in patients with osteosarcoma with correlation to histological necrosis |
| Esha Baidya Kayal1, Nikhil Sharma1, Raju Sharma2, Sameer Bakhshi3, Devasenathipathy Kandasamy2, and Amit Mehndiratta1,4 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Radio diagnosis, All India Institute of Medical Sciences Delhi, New Delhi, India, 3Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences Delhi, New Delhi, India, 4Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
||
The spin relaxation time (T1) of the water protons, an intrinsic property of tissue, can be a useful marker of therapeutic response in osteosarcoma. T1 values were estimated in whole tumor volume before and after completion of chemotherapy and histogram analysis was performed to characterize tumor T1 and its changes in the course of chemotherapy. Results showed mean and skewness of T1 relaxation time in tumor may be useful as non-invasive imaging markers of chemotherapeutic response in osteosarcoma. |
| 0849 | 18:00
|
The clinical value of MRI in quantitatively evaluating anterior cruciate ligament mucoid degeneration |
| Guangtao Fan1, Yudan Li1, Fenglin Xue2, Yilong Huang1, Yanlin Li3, Guoliang Wang3, Tianfu Qi1, Lisha Nie4, and Bo He1 | ||
1Department of Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China, 2Department of Pathology, the First Affiliated Hospital of Kunming Medical University, Kunming, China, 3Department of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming, China, 4GE Healthcare, Kunming, China |
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The study aims to explore the clinical application value of MRI to quantitatively assess the anterior cruciate ligament mucoid degeneration (ACL-MD).The results indicated MRI Values of T1, T2 and T2*(relaxation time) show potential for diagnosis of ACL-MD and T2* may deliberately has the highest diagnostic efficacy. |
| 0850 | 18:00
|
Diffusion Tensor Imaging and Fiber Tractography in Porcine Meniscus |
| Jikai Shen1, Qi Zhao1, Yi Qi1, Gary Cofer1, G. Allan Johnson1, and Nian Wang2 | ||
1Duke University, Durham, NC, United States, 2Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, United States |
||
Recently, diffusion MRI and tractography in musculoskeletal system has used to investigate the tissue microstructure, local collagen fiber alignment, and the 3D collagen network. To the best of our knowledge, nondestructively probing the local collagen fiber direction and 3D collagen fiber architecture is still limited. The water diffusion properties derived from DTI were quantified at different areas of meniscus using the proposed automatic segmentation method. Combining tractography and automatic segmentation, we were able to observe the structural connections among different areas of the meniscus. |
| 0851 | 18:00
|
Achieving Rapid and Accurate Relaxometry of Whole Knee Joint using Self-Supervised Deep Learning |
| Fang Liu1, Georges El Fakhri1, Martin Torriani1, Richard Kijowski2, and Miho Tanaka3 | ||
1Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 2New York University School of Medicine, New York, NY, United States, 3Orthopaedic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States |
||
The purpose of this work was to develop and evaluate a model-guided self-supervised deep learning MRI reconstruction framework called REference-free LAtent map eXtraction (RELAX) for rapid quantitative relaxometry of the whole knee joint. This approach incorporated end-to-end CNN mapping to perform image-to-parameter domain transform. A concept of cyclic loss was utilized to enforce data fidelity and eliminate the explicit need for full-sampled training references. This approach was demonstrated in accelerated T1/T2 mapping of the whole knee joint and proven to outperform state-of-the-art reconstruction methods. The result suggests that RELAX allows accelerated relaxometry without training with reference data. |
| 0852
|
18:00
|
3T-Chemical Shift Encoded MRI with Ultra-Short Echo Time Acquisition for Bone Quality Assessment: Preliminary Results in the Hip. |
| Dimitri MARTEL1, Benjamin LEPORQ2, Stephen HONIG3, and Gregory CHANG1 | ||
1Radiology, NYU Langone Health, New york, NY, United States, 2Université de Lyon; CREATIS CNRS UMR 5220, Inserm U1206, INSA-Lyon, UCBL Lyon 1, Villeurbanne, France, 3Osteoporosis Center, Hospital for Joint Diseases, NYU Langone Health, New york, NY, United States |
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Osteoporosis (OP) is a disease associated with low bone mass and deterioration of bone microarchitecture leading to bone fragility and increased fracture risk, especially in the proximal femur. Therefore, we have developed a chemical-shift encoded acquisition performed with a spiral k-space sampling to acquire ultrashort echo-time and longer echo time in the echo train. This study aims to determine if uTE acquisition can be performed for fat/water separation and if additional information can be provided through cortical bone imaging. |
| 0853 | 18:00
|
An MR Safe Steerable Catheter for MR-guided Endovascular Interventions |
| Mohamed E. M. K. Abdelaziz1, Libaihe Tian1, Thomas Lottner2, Simon Reiss2, Klaus Düring3, Guang-Zhong Yang4, Michael Bock2, and Burak Temelkuran1 | ||
1Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom, 2Dept. of Radiology, Medical Physics, Medical Center, University of Freiburg, Freiburg, Germany, 3MaRVis Interventional GmBH, Krün, Germany, 4Shanghai Jiao Tong University, Shanghai, China |
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MR-guided intravascular interventions often lack steerable devices due to potential RF heating of long metallic components. In this study, we present a novel 7F MR safe and passively visible steerable catheter. Real-time MR image guidance of this catheter was demonstrated in a vessel phantom in a clinical 3T MR scanner to evaluate the catheter’s mechanical efficacy and MR visibility. Small vascular structures such as the renal artery could be probed efficiently with the polymer-only based catheter. With the integrated iron markers it was visible in its entirety, and the limited artifact size allowed for the effective visualization of surrounding tissue. |
| 0854 | 18:00
|
Real-Time Slice Steering for MR-Guided Interventions Using Endovascular Devices Equipped with Passive MRI Markers |
| Daniel Christopher Hoinkiss1, Han Nijsink2, Paul Borm3, Sabrina Haase1, Jan Strehlow1, Jurgen Futterer2, and Torben Pätz1 | ||
1Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 2Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands, 3Nano4imaging GmbH, Aachen, Germany |
||
MR-guided endovascular interventions will enable widely distributed therapies to be performed without radiation. We present a workflow for interventional slice steering based on endovascular device tracking to increase the precision during MR-guided interventions. Merging real-time tracking information based on passive MRI markers with pre-calculated therapy planning allows the slice steering to automatically adjust itself to the predicted vessel pathways for smooth and accurate device monitoring. |
| 0855 | 18:00
|
Minimal Artifact Actively Shimmed Metallic Needles for Interventional MRI |
| Saikat Sengupta1, Xinqiang Yan1, Tamarya Hoyt2, Anthony Gunderman3, and Yue Chen3 | ||
1Department of Radiology, Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, United States |
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Artifacts caused by large magnetic susceptibility differences between metallic probes and the surrounding tissue are a persistent problem in many interventional MRI applications. In previous work, we presented the concept, design and modeling of active shims for metallic needles. In this work, we present the experimental demonstration of recovery of metallic probe induced signal loss at 3 Tesla. Effective recovery of lost signal and correction of field inhomogeneity is shown across needle orientations and imaging sequences. |
| 0856 | 18:00
|
In Vivo Susceptibility-based Positive Contrast Imaging of MR Compatible Metallic Devices Based on Modified Slab-Selective 3D SPACE Sequence |
| Caiyun Shi1,2, Dong Liang1,2,3, Zhilang Qiu1, Xin Liu1,2, Yanjie Zhu1,2, and Haifeng Wang1,2 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China, 3Research Centre for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China |
||
Susceptibility-based positive contrast MR imaging exhibits excellent efficacy for visualizing the MR compatible metallic devices, by taking advantage of their high magnetic susceptibility. In this work, a novel method is developed to realize the 3D susceptibility-based positive contrast MR imaging on in vivo experiments of one human patient with one tumour of the scapula. The method is based on a modified 3D SPACE sequence and a PDF background field removal to achieve positive contrast imaging. |
| 0857 | 18:00
|
Improvements in in vivo imaging and temperature mapping using passive “propeller-beanie” antenna in transcranial MR-guided focused ultrasound |
| Xinqiang Yan1,2, Steven P. Allen3, Craig H. Meyer3, and William A. Grissom1,2,4 | ||
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 4Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
||
Transcranial MR-guided focused ultrasound (tcMRgFUS) neurosurgery is a non-invasive treatment for essential tremor and many emerging applications. In FDA-approved Insightec tcMRgFUS system, however, RF reflections create curved dark bands in brain images. In this work, we reported the first B1+ and temperature maps in a healthy volunteer with passive crossed wires to alleviate B1+ dark bands and inhomogeneity in a tcMRgFUS system. Consistent with simulation results and previous experimental results in phantoms, the “propeller-beanie” antenna can significantly alleviate dark band artifacts in Insightec tcMRgFUS system, which improves temperature precision and may enable the use of diffusion imaging to monitor treatment. |
| 0858
|
18:00
|
An Anthropomorphic Pelvis Phantom for Prostate Brachytherapy and Biopsy |
| Dominik F. Bauer1,2, Eva Oelschlegel1,2, Alena-Kathrin Golla1,2, Anne Adlung1,2, Tom Russ1,2, Ingo Hermann1,2, Irène Brumer1,2, Julian Rosenkranz3, Fabian Tollens4, Sven Clausen5, Philipp Aumüller5, Lothar R. Schad1,2, Dominik Nörenberg4, and Frank G. Zöllner1,2 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Fraunhofer Institute for Manufacturing Engineering and Automation, Project Group for Automation in Medicine and Biotechnology, Mannheim, Germany, 4Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany, 5Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany |
||
We present an anthropomorphic pelvis phantom with lesions for transperineal and transrectal prostate needle interventions. The human-sized artificial pelvis includes bones, bladder, prostate with four lesions, urethra, arteries, veins and six lymph nodes embedded in ballistic gelatin. It is puncturable and shows realistic contrast in multiparametric MRI (mpMRI) as well as CT imaging. The phantom can be used for the evaluation, training and finetuning of multimodal prostatic intervention procedures, such as prostate brachytherapy and biopsy. |
| 0859
|
18:00
|
A generic framework for real-time 3D motion estimation from highly undersampled k-space using deep learning |
| Maarten Terpstra1,2, Matteo Maspero1,2, Tom Bruijnen1,2, Joost Verhoeff1, Jan Lagendijk1, and Cornelis A.T. 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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Motion estimation from MRI is important for image-guided radiotherapy. Specifically, for online adaptive MR-guided radiotherapy, the motion fields need to be available with high temporal resolution and a low latency. To achieve the required speed, MR acquisition is generally heavily accelerated, which results in image artifacts. Previously we have presented a deep learning method for real-time motion estimation in 2D that is able to resolve image artifacts. Here, we extend this method to 3D by training on prospectively undersampled respiratory-resolved data showing that our method produces high-quality motion fields at R=30 and even generalizes to CT without retraining. |
| 0860
|
18:00
|
Real-time deep artifact suppression using recurrent U-nets for interactive Cardiac Magnetic Resonance imaging. |
| Olivier Jaubert1,2, Javier Montalt-Tordera2, Dan Knight2,3, Gerry J. Coghlan2,3, Simon Arridge1, Jennifer Steeden2, and Vivek Muthurangu2 | ||
1Department of Computer Science, UCL, London, United Kingdom, 2Centre for Cardiovascular Imaging, UCL, London, United Kingdom, 3Department of Cardiology, Royal Free London NHS Foundation Trust, London, United Kingdom |
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MR guided catheterization requires both fast imaging and fast reconstruction techniques for interactive imaging. Recent deep learning methods outperformed classical iterative reconstructions with shorter reconstruction times. We propose a low latency framework relying on deep artefact suppression using a 2D residual U-Net with convolutional long short term memory layers trained on multiple orientations. The framework was demonstrated to reconstruct an interactively acquired bSSFP tiny golden angle radial sequence for catheter guidance. The proposed approach enabled real-time imaging (latency/network time=39/19ms) in 3 catheterized patients with promising image quality and reconstruction times. |
| 0861
|
18:00
|
Deep Learning-Driven Automatic Scan Plane Alignment for Needle Tracking in MRI-Guided Interventions |
| Xinzhou Li1,2, Yu-Hsiu Lee3, David S. Lu1, Tsu-Chin Tsao3, and Holden H. Wu1,2 | ||
1Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, United States |
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Misalignment between the MRI scan plane and needle trajectory degrades visualization and localization of the needle. This may prolong procedure time and increase errors in MRI-guided interventions. By leveraging an accurate deep learning-based needle localization algorithm, this work proposed an automatic workflow to realign the MRI scan plane with the needle. A scan plane control module was implemented for scan parameter updates. In one degree-of-freedom needle insertion experiments, the automatic workflow accurately aligned the scan plane with the needle (orientation difference 1.9°) with processing time <2 sec. |
| 0862 | 18:00
|
Ultra-quality 4D-MRI synthesis using deep learning-based deformable image registration |
| Haonan Xiao1, Tian Li1, Jiang Zhang1, Ruiyan Ni1, Ge Ren1, Yibao Zhang2, Weiwei Liu2, Weihu Wang2, Hao Wu2, Victor Lee3, Andy Cheung3, Hing-Chiu Chang3, and Jing Cai1 | ||
1The Hong Kong Polytechnic University, Hong Kong, China, 2Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China, 3The University of Hong Kong, Hong Kong, China |
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We have developed and validated an ultra-quality 4D-MRI synthesis technique using deep learning-based deformable image registrations. The displacement vector fields between breathing frames were obtained from low-quality 4D-MRI. They were then applied to high-quality stationary T1, T2, and diffusion weighted images to generate ultra-quality 4D-MRI. The synthetic 4D-MRIs were verified in terms of tumor motion accuracy and image quality. All the motion errors were in a sub-voxel level, and the image quality was significantly improved. This technique holds great potential in volumetric tumor tracking with high accuracy. |
18:00
|
Data Preprocessing & Diffusion Modeling | |
| Carlo Pierpaoli1 | ||
1Quantitative Medical Imaging Section, National Institute of Biomedical Imaging & Bioengineering, Bethesda, MD, United States |
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In this talk we will provide an “historical” overview of various modelling approaches that have been proposed for inferring anatomy and connectivity of white matter fibers from diffusion MRI data. We will describe the foundations of methods for deterministic tractography, and probabilistic tractography that will be addressed in detail by the subsequent lecturers. We will also provide background information to introduce the lecture on “validation” of Diffusion MRI tractography. Proper data preprocessing, however, can effectively minimize potential sources of artifacts. We will examine various steps that are desirable in a diffusion MRI preprocessing pipeline. |
18:30
|
Deterministic Tractography | |
| Flavio Dell'Acqua1 | ||
1King's College London, London, United Kingdom |
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Diffusion MRI Tractography is today the only imaging technique able to map the structural connectivity of the human brain in vivo non-invasively. Thanks to these unique capabilities tractography has become one of the pillars of modern neuroimaging and it is now adopted in several neuroscience and clinical research applications worldwide. In this lecture we will review the main concepts behind tractography methods from early DTI-based deterministic methods to more advanced High Angular Resolution Diffusion Imaging approaches. (Please note, more slides and topics are available in the video) |
19:00
|
Probabilistic Tractography | |
| J. Donald Tournier1 | ||
1Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Probabilistic tractography approaches account for the inherent, multiple sources of uncertainty that impact on the fibre tracking process. They aim to provide a more representative depiction of the range of connections that are consistent with the data. These approaches typically depend on the availability of the distribution of fibre orientations, from which statistical samples can be obtained and used in the streamline propagation process. It is important to note that probabilistic approaches do not in general provide estimates of the probability of a connection; they aim to depict the full range of likely connections that are consistent with the data. |
19:30
|
Tractography Validation | |
| Kurt Schilling1 | ||
1Vanderbilt University, Nashville, TN, United States |
| 0863
|
18:00
|
The microscopy connectome: towards 3D PLI tractography in the BigMac dataset |
| Amy FD Howard1, Istvan N Huszar1, Michiel Cottaar1, Greg Daubney2, Alexandre A Khrapitchev3, Rogier B Mars1,4, Jeroen Mollink1, Connor Scott5, Nicola Sibson3, Adele Smart1,5, Jerome Sallet2, Saad Jbabdi1, and Karla L Miller1 | ||
1FMRIB Centre, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom, 3MRC Oxford Institute for Radiation Oncology, Department 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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The BigMac dataset is a unique resource that includes extensive MRI and densely sampled microscopy data acquired in a single, whole macaque brain. However, the high-resolution microscopy currently only informs on the fibre orientations in the 2D plane of sampled slides, precluding 3D reconstruction of the microscopy connectome. Here we use precise co-registration and joint modelling of diffusion MRI and polarised light images to reconstruct the microscopy fibre orientations in 3D. This will facilitate future determination of the whole brain, microscopy-inspired connectome, which we expect will provide neuroanatomical insight, and play a vital role in validating and advancing invivo tractography. |
| 0864
|
18:00
|
New insights from the IronTract challenge: Simple post-processing enhances the accuracy of diffusion tractography |
| Chiara Maffei1, Gabriel Girard2,3,4, Kurt G. Schilling5, Dogu Baran Aydogan6, Nagesh Adluru7, Andrey Zhylka8, Ye Wu9, Matteo Mancini10,11,12, Andac Hamamci13, Alessia Sarica14, Davood Karimi15, Fang-Cheng Yeh16, Mert E. Yildiz13, Ali Gholipour15, Andrea Quattrone17, Aldo Quattrone14, Pew-Thian Yap9, Alberto de Luca18,19, Josien Pluim8, Alexander Lemans18, Vivek Prabhakaran7, Barbara B. Bendlin7, Andrew L. Alexander7, Bennett A. Landman5, Erick J. Canales-Rodríguez4, Muhamed Barakovic20, Jonathan Rafael-Patino4, Thomas Yu4, Gaëtan Rensonnet4, Simona Schiavi21, Alessandro Daducci21, Marco Pizzolato4,22, Elda Fischi-Gomez4, Jean-Philippe Thiran2,3,4, George Dai23, Giorgia Grisot24, Santi Puch25, Marc Ramos25, Nikola Lazovski25, Paulo Rodrigues25, Vesna Prchkovska25, Robert Jones1, Julia Lehman26, Suzanne Haber26, and Anastasia Yendiki1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3CIBM Center for BioMedical Imaging, Lausanne, Switzerland, 4École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 5Vanderbilt University, Nashville, TN, United States, 6Aalto University School of Science, Espoo, Finland, 7University of Wisconsin, Madison, WI, United States, 8Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 9Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapell Hill, NC, United States, 10Department of Neuroscience, Brighton and Sussex Medical School University of Sussex, Brighton, United Kingdom, 11CUBRIC, Cardiff University, Cardiff, United Kingdom, 12NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada, 13Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Instanbul, Turkey, 14Neuroscience Research Center, University “Magna Graecia”, Catanzaro, Italy, 15Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 16Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States, 17Institute of Neurology, University “Magna Graecia”, Catanzaro, Italy, 18Imaging Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 19Neurology Department, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands, 20University of Basel, Basel, Switzerland, 21University of Verona, Verona, Italy, 22Technical University of Denmark, Kongens Lyngby, Denmark, 23Wellesley College, Wellesley, MA, United States, 24DeepHealth, Inc., Cambridge, MA, United States, 25QMENTA, Inc., Barcelona, Spain, 26Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States |
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We present results from round 2 of IronTract, the first challenge to evaluate the accuracy of tractography using i) tracer injections and diffusion MRI from the same macaque brains, and ii) DSI and HCP two-shell diffusion acquisition schemes. In round 1, only two teams achieved similarly high performance between the two different injection sites that we used for training and validation. Here we investigate the extent to which this was due to the pre- and post-processing used by those teams. We show that, when other teams use the same pre- and post-processing, their accuracy and robustness can improve as well. |
| 0865 | 18:00
|
Investigating the Occurrence of Asymmetric Patterns in White Matter Fiber Orientation Distribution Functions |
| Charles Poirier1, Étienne St-Onge1, and Maxime Descoteaux1 | ||
1Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada |
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In general, fiber orientation distribution functions are defined as symmetric spherical functions. The present work shows how local averaging can be used to compute averaged asymmetric fODF (ava-fODF) from input symmetric white matter (WM) fODF. The resulting ava-fODF shows the presence of asymmetric patterns in voxels containing multiple crossings as well as along the white matter/gray matter interface. Moreover, the proportion of WM voxels displaying asymmetric features after filtering accounts for at least 30% of all WM voxels. Ava-fODF reveals new possibilities for classification of fiber configurations, with unidirectional fODF, bending fODF, Y-branching fODF and other complex fiber configurations. |
| 0866 | 18:00
|
Beyond crossing fibers: investigating the prevalence of bottleneck configurations in the human brain white matter with diffusion tractography |
| Kurt G Schilling1, Francois Rheault2, Laurent Petit3, Chantal Tax4, Maxime Descoteaux2, Adam W Anderson5, and Bennett A Landman5 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Universite de Sherbrooke, Sherbrooke, QC, Canada, 3CEA University of Bordeaux, Bordeaux, France, 4Cardiff University, Cardiff, United Kingdom, 5Vanderbilt University, Nashville, TN, United States |
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Bottleneck regions of the brain, or areas where multiple white matter pathways of the brain converge and subsequently diverge, present a challenge to anatomically accurate fiber tractography of the brain. In this work, we investigated the prevalence and locations of bottleneck regions. Our results indicate that most white matter contains multiple overlapping and crossing bundles. Moreover, individual orientations withina voxel are associated with multiple bundles, which represent bottlenecks. These findings have profound implications for tractography algorithms which aim to map unknown connections across the brain, and strengthen the awareness of limitations or challenges facing these image processing techniques. |
| 0867
|
18:00
|
Bundle-o-graphy |
| Matteo Battocchio1, Simona Schiavi1, Maxime Descoteaux2, and Alessandro Daducci1 | ||
1University of Verona, Verona, Italy, 2University of Sherbrooke, Sherbrooke, QC, Canada |
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Here we introduce the concept of bundle-o-graphy to tackle tractography reconstruction from a different point of view: instead of indirectly reconstructing fiber bundles streamline-by-streamline, we consider them as the objects to be reconstructed and we directly seek for them using global optimization. We show the potential of bundle-based tractography on synthetic and real data, possibly opening avenues to a new way of thinking about tractography. |
| 0868
|
18:00
|
Atlas of reproducible short-range association fibers in parietal lobe by STTAR tracing and clustering |
| Chenying Zhao1,2, Minhui Ouyang1, and Hao Huang1,3 | ||
1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States |
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Short-range association fibers (SAFs) linking adjacent cortices, are dominant in connectome and altered in psychiatric disorders such as autism and schizophrenia. However, few atlases are dedicated to SAFs. Higher inter-subject variation and large amount of SAFs impede their identification with traditional methods for long-range fibers. To meet these challenges, we built the SAF atlas using STTAR (Short-range Tractography with high Throughput And Reproducibility), a novel and advanced protocol designed for SAFs. Here, we demonstrated the SAF atlas in parietal lobe, featured with reproducibly and comprehensively traced SAFs readily usable in 3D volume format in the ICBM152 space. |
0:00
|
Reproducible & Open MR Hardware | |
| Lukas Winter | ||
| Physikalisch Technische Bundesanstalt | ||
0:00
|
Building Your Own MRI | |
| Clarissa Cooley | ||
| Massachusetts General Hospital, Harvard Medical School | ||
0:00
|
Open-Source Console for Real-Time Acquisition | |
| Thomas Witzel | ||
| Q Bio, Inc. | ||
0:00
|
3D-Printed Phantoms for Standardization & Reproducibility of MR Scans | |
| Martin Bryn | ||
| Alcyone Therapeutics, Inc. | ||
0:00
|
Vendor Panel Discussion | |
| Anja Brau1, Rebecca Ramb2, Steve Tan3 | ||
| GE Healthcare1, Siemens Healthineers2, United Imaging Healthcare3 | ||
| 0869
|
18:00
|
Cerebral oxygen extraction fraction (OEF): comparison of challenge-free gradient echo QSM+qBOLD (QQ) with 15O PET in healthy adults |
| Junghun Cho1, John Lee2, Hongyu An2, Manu S Goyal2, Yi Su3, and Yi Wang1 | ||
1Weill Cornell Medicine, New York, NY, United States, 2Washington University School of Medicine, Saint Louis, MO, United States, 3Banner Alzheimers Institute, Phoenix, AZ, United States |
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Cerebral oxygen extraction fraction (OEF) maps are critical to investigate salvageable tissue in ischemic stroke. We compare OEF maps obtained using quantitative susceptibility mapping plus quantitative blood oxygen level-dependent modeling (QSM+qBOLD=QQ) with the reference standard OEF maps obtained using 15O PET in 10 healthy adults. The whole brain and regional average OEF values were found to be substantially equivalent between the two methods, e.g. 32.8 ± 6.7 % on PET and 34.2 ± 2.6 % on QQ (p=0.002, TOST) for whole brain average. QQ estimates OEF maps from a single routine MRI sequence without burdensome gas inhalation or respiratory-control procedures. |
| 0870 | 18:00
|
Pseudo-Continuous Arterial Spin Labeling using Multiple Label- and Post-Label Duration with Dynamically Optimized Background Suppression |
| Makoto Obara1, Osamu Togao2, Tatsuhiro Wada3, Chiaki Tokunaga3, Ryoji Mikayama3, Hiroshi Hamano1, Kim van de Ven4, Masami Yoneyama1, Tetsuo Ogino1, Yuta Akamine1, Yu Ueda1, Jihun Kwon1, and Marc Van Cauteren5 | ||
1Philips Japan, Tokyo, Japan, 2Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan, 4Philips Healthcare, Best, Netherlands, 5Philips Healthcare, Tokyo, Japan |
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The arterial transit time (ATT) calculated from multiple time points pseudo continuous arterial spin labeling (pCASL) has recently attracted attention. To calculate ATT accurately, while ensuring reliable SNR, we propose multiple repetition time (multi-TR) scheme, that is TR is varied according to the label duration (LD) and post label delay (PLD) with dynamically optimized BGS and 3D acquisition. The multi points data is efficiently acquired and scan time is less than 3 minutes for whole brain coverage. We conducted a feasibility test. Reliable background suppression effectiveness for all time points and a significant SNR gain were confirmed in healthy volunteers. |
| 0871
|
18:00
|
Clinical application of ASL-based non-invasive perfusion territory mapping and time-resolved angiography in cerebrovascular diseases |
| Stephan Kaczmarz1, Miriam Reichert1, Moritz Roman Hernandez Petzsche1, Andreas Hock2, Kilian Weiss3, Kim van de Ven4, Christine Preibisch1, Jan Kirschke1, Claus Zimmer1, Makoto Obara5, Michael Helle6, Nico Sollmann1,7, and Hans Liebl1 | ||
1School of Medicine, Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany, 2Philips Healthcare, Horgen, Switzerland, 3Philips Healthcare, Hamburg, Germany, 4Philips Healthcare, Best, Netherlands, 5Philips Japan, Tokyo, Japan, 6University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany, 7Department of Radiology, University Ulm Medical Center, Ulm, Germany |
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Imaging of blood supply patterns is of high clinical interest to improve diagnostics in cerebrovascular diseases (CVD). However, the only clinically available imaging method is invasive digital subtraction angiography (DSA). We present data from 17 participants, including 7 CVD patients, with non-invasive MRI-based perfusion territory mapping by super-selective arterial spin labeling (ss-ASL) and time-resolved angiography by 4D-sPack with automated planning. Our results successfully confirmed automated planning even in CVD patients. Collateral pathways were non-invasively depicted by ss-ASL and 4D-sPack. Moreover, congruent results with DSA, contrast-enhanced MR-angiography and perfusion MRI demonstrated great potential for future routine application of ss-ASL and 4D-sPack. |
| 0872 | 18:00
|
Application of MRI-based oxygen extraction fraction mapping in ischemic stroke |
| Di Wu1 and Shun Zhang1 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China |
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This study aims to investigate spatiotemporal evolution of cerebral oxygen extraction fraction (OEF) in ischemic stroke with an MRI-based vascular-challenge-free method. The OEF of the infarcted area descends continuously from acute to chronic phase. Meanwhile, there exists tissue that is likely to be penumbra in the acute diffusion lesion, of which the OEF shows an increasing trend with time, suggesting timely reperfusion in this region. This MRI-based OEF mapping can precisely capture the heterogenous character of brain oxygen metabolism at different phases of ischemic stroke. |
| 0873 | 18:00
|
Prediction of Wallerian Degeneration in the Corticospinal Tract after Cerebral Ischemic Stroke: A Pilot APT and DWI Study |
| junxin wang1, yanwei Miao1, and Jiazheng Wang2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Phillips healthcare, dalian, China |
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This study aimed to exploit the early Wallerian degeneration (WD) along the corticospinal tract following cerebral ischemic stroke using amide proton transfer weighted (APTw) and diffusion weighted imaging (DWI). This study included 34 patients with acute cerebral infarction and 21 healthy adult controls. Our data suggested that APTw and apparent diffusion coefficient (ADC) values was significantly increased on ipsilateral compared to contralateral and the control group in the posterior limb of internal capsule. It proves the feasibility of APTw and ADC in early detection of WD following cerebral ischemic stroke. |
| 0874 | 18:00
|
Assessment of Symptom Onset Time in Ischemic Stroke Patients Using Fast High-Resolution 3D 1H-MRSI |
| Zengping Lin1, Tianyao Wang2, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Tianxiao Zhang1, Jun Liu2, Xin Yu5, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, 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, 5Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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Determination of ischemic stroke onset time is critical in ischemic stroke treatment. 1H-MRSI has been recognized as a potentially powerful tool for noninvasive metabolic imaging, which showed great promise for the assessment of stroke onset time. This study investigated changes of neurometabolite concentrations in lesion after different symptom onset time in ischemic stroke patients using a fast high-resolution 3D MRSI technique. Our results showed that NAA concentration within the ischemic lesion decreased in a time-dependent manner after stroke onset, which might provide a useful metabolic biomarker for assessment of symptom onset time. |
| 0875 | 18:00
|
Prediction of the Treatment Efficacy of Patients with Subacute Cerebral Infarction using the Heterogeneity of APT-weighted Signals |
| Yuhan Jiang1, Peipei Chang1, Yingqiu Liuyang1, Bingbing Gao1, Yiwei Che1, Renwang Pu1, Qingwei Song1, Ailian Liu1, Zhiwei Shen2, Jiazheng Wang2, and Yanwei Miao1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer weighted (APTw) MRI has been increasingly applied in the study of stroke based on its ability to detect pH and intracellular proteins content. In subacute infarction, the heterogeneity of APTw signal may reflect the clinical treatment efficacy of patients. In this study, we found that there is negative correlation between the heterogeneity signals (APTwmax-min) in the ischemic regions and the difference of NIHSS scores on the day of hospital admission and leaving (∆NIHSS). Therefore, the heterogeneity of APTw signal is potentially an effective imaging biomarker to predict the efficacy of patients with subacute cerebral infarction. |
| 0876 | 18:00
|
Functional Reorganization associated with Language Recovery after Repetitive Transcranial Magnetic Stimulation in Chronic Aphasic Stroke |
| Bing-Fong Lin1, Po-Yi Tsai2, and Chia-Feng Lu1 | ||
1Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan, 2Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan |
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Low-frequency repetitive transcranial magnetic stimulation (rTMS) provided promising results to facilitate the language recovery in stroke patients with non-fluent aphasia. This study demonstrated that the contralesional inhibitory rTMS treatment can induce the functional reorganization within language networks and recovery of language function in chronic aphasic stroke. The correlation analysis further revealed the association between altered functional connectivity and improved language ability after rTMS treatment. Finally, we reported that the involved functional circuits for the language recovery may depend on lesion location and size of stroke. |
| 0877 | 18:00
|
Longitudinal Changes in Neurometabolite Levels from Acute to Subacute Stroke: A Pilot Study Using Fast High-resolution 3D 1H-MRSI |
| Bin Bo1, Tianyao Wang2, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Tianxiao Zhang1, Zengping Lin1, Ziyu Meng1, Jun Liu2, Xin Yu5, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, 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, 5Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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Detection of neurometabolic alterations in stroke patients from acute to subacute stages could provide useful information for brain tissue salvage therapy. Fast high-resolution 3D 1H-MRSI by SPICE has previously provided nearly whole-brain neurometabolic mapping in acute stroke patients. In this pilot study, we investigated the alterations of neurometabolites in a longitudinal cohort of ischemic stroke patients. Our preliminary results showed observable changes of different neurometabolites in different regions within the hypoperfused tissue of stroke patients from acute to subacute stages. Our study may lay a foundation for further investigation of temporal changes of neurometabolic biomarkers during stroke progression. |
| 0878 | 18:00
|
Clinical Research of Multi-modal MRI in Ischemic Stroke: Cerebral Oxygen Extraction Fraction, Nonblood Susceptibility and Blood Flow |
| Di Wu1, Shun Zhang1, and Weiyin Vivian Liu2 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China |
||
This study aims to investigate oxygen metabolic, neuroinflammatory and hemodynamic parameters in different parts of the ischemic stroke lesions using multi-modal MRI. Significant difference of cerebral blood flow (CBF) was found between patients with and without penumbra. The oxygen extraction fraction (OEF) and nonblood susceptibility of tissue in the penumbra were significantly different from ischemic core, revealing benign oxygen metabolic compensation and less neuroinflammation in the penumbra. OEF in the diffusion lesion was positively correlated with clinical severity and continuously decreased with time. Multi-modal MRI-based markers can accurately reflect the pathophysiologic discrepancy in different regions of the ischemic stroke lesions. |
| 20:00 | Lauterbur Lecture: Adventures in Contrast |
| 20:45 | Closing Remarks |