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| Saturday, 07 May | Sunday, 08 May | Monday, 09 May | Tuesday, 10 May | Wednesday, 11 May | Thursday, 12 May |
| 8:00 | Big Neuroimaging Data: What's Out There? |
| Melanie Ganz-Benjaminsen | |
In my educational talk, I will introduce you to the world of neuroimaging data sharing. In the start, I will motivate why neuroimaging data sharing is a good idea and you should not only benefit from it, but actually actively participate in it. Next, I will focus first on the different types of data that can be shared, then introduce data formats for sharing and finally highlight different data sharing initiatives. I will end with a short list and overview over the especially large data sets that are available. |
| 8:25 | How to Effectively Store & Organize Large Data |
| Simon Doran |
| 8:50 | Building Your Pre-Processing Script & Quality Control |
| Grégory Operto | |
Recent decades have witnessed an increasing number of large imaging studies. In particular for organizations with their own imaging equipment, configuring a system to collect, manage, process, review those datasets is still complicated, and relying on cloud-based solutions, albeit promising, is not always possible. We present a practical model aimed at improved quality control and guided by principles including user involvement, lightweight footprint, modularity and facilitated data sharing. This model gave rise to an ecosystem of independently reusable tools shaped around XNAT. This paradigm is scalable to the general community of researchers working with large imaging datasets. |
| 9:15 | Harmonization of Huge Data & Preparing It for Machine Learning |
| Jean-Baptiste Poline | |
In this lecture, I will review both the need for and the benefits of data harmonization and standardization. I will present some of the tools available to the community. I will take a specific example of distributed Parkinson data harmonization. I will list some of the challenges that remain ahead of us and how these can be addressed. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Quantifying & Visualizing Brain Morphology |
| Da Ma | |
This talk will present several different approaches and best practice to achieve effective quantify and visualize brain morphology. First, we will demonstrate qualitative and quantitative methods to perform, visualize, and evaluate the effect of multi-site neuroimage data harmonization for removing unwanted confounding factors. Second, we will illustrate visualization methods for various brain morphology metrics, such as structural volume, cortical thickness, that can reveal individualized brain morphology patterns. Lastly, we will introduce the parametric statistical analysis and visualization approach for presenting the groupwise brain morphology variation across large population. |
| 10:30 | Longitudinal Assessment of Brain Structural Changes |
| Loredana Storelli | |
The talk will propose an overview of the mainly available pipelines to assess longitudinal brain structural changes and to focus on the best practice to perform these quantifications. In the first part, we will introduce the basic concepts on the research questions and technical aspects to guide in the selection of the most suitable longitudinal pipeline among the available ones. In the second part we will see practically step-by-step how to perform a global and regional assessment of brain volumetric changes, using an open-access dataset. The participants will finally be able to independently perform such analyses and critically interpret it. |
| 10:55 | Hands-On: Structural Connectivity with Diffusion MRI |
| Robert Smith | |
This talk will give an introductory overview of the quantification of white matter structural connectivity using diffusion-weighted imaging. First, we clearly define the scope of the task of characterising the nebulous property referred to as "connectivity" in this domain, and provide important contextualisation of its relevance to the ever-popular field of connectomics. Second, we use a publicly-available tutorial with accompanying data to briefly demonstrate some of the processing steps involved in producing a connectome matrix from DWI data. Finally, we enumerate some issues for contemplation when intending to process DWI data across large datasets. |
| 11:20 | Hands-On: Functional Connectivity with BOLD MRI |
| Jingyuan Chen | |
This talk will give an introductory overview of “functional connectivity (FC)” analysis using fMRI. First, I will review the signal characteristics of fMRI and the definition of FC in this specific context. Next, I will walk through the basic principles and practical considerations centered on seed-based FC analysis, network parcellation, and graph theoretical analysis of functional connectome. Simple real-data examples and Matlab scripts are provided for the audience to gain hands-on experience with these analyses. Finally, I will briefly discuss the benefits and challenges associated with studying FC using big data. Link to the tutorial video and codes: https://tinyurl.com/ISMRM2022-JingyuanChen. |
| 8:00 | Pulmonary MRI: How to Do It |
| Yoshiharu Ohno | |
In 2020, the Fleischner Society published a new report, which provides consensus expert opinions regarding appropriate clinical indications of pulmonary MR imaging for not only oncologic but also pulmonary diseases. In this lecture, I present MR imaging for thoracic diseases regarding its technical aspects and major clinical indications in Japan 1) in terms of what is currently available, 2) promising but requiring further validation or evaluation, and 3) developments warranting research investigations in preclinical or patient studies. |
| 8:25 | Pulmonary MRI: Applications in Clinical Practice |
| Edwin van Beek |
| 8:50 | Translating MR Sequences into Clinical Tools: Abdomino-Pelvic Applications of DWI That Have Transformed Oncology Practice |
| Daiki Tamada | |
Diffusion-weighted imaging (DWI), which relies on microscopic motion in the cell, is an essential tool to diagnose and evaluate lesions in the body. However, many challenges remain, such as artifacts, low-SNR, long scan time, and comprehensive interpretation. Recently, artificial intelligence (AI) approaches have been proposed to address these challenges. Furthermore, recent deep learning approaches enabled innovative applications. This talk aims to review the emerging applications using AIs for body DWI. |
| 9:15 | Translating MR Interventions into Clinical Workflow: MR-Guided HIFU |
| Holger Grull | |
MR-HIFU is a non-invasive method to heat tissue to ablative or hyperthermic temperatures. For therapy planning and temperature monitoring, this treatment is performed under MR guidance offering high resolution anatomical images as well as near-real time temperature mapping. Currently clinical use is restricted to CE-applications such as ablation of uterine fibroids, osteoid osteomas or desmoid tumors. In this presentation, we showcase the research and clinical translation of treatment of facet joint arthritis and pancreatic cancer from small to large animal models to clinical trials. Regulatory hurdles that need to be addressed will be discussed including the clinical trials. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Diagnostic Confidence in Deep Learning-Accelerated Sequences of the Body |
| Ahmed Othman |
| 10:30 | Machine Learning Methods for MRI Segmentation & Classification in the Abdomen |
| Sergios Gatidis | |
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| 10:55 | AI Applications for Prostate Cancer: Staging, Prediction & Prognosis |
| Chan Kyo Kim |
| 11:20 | AI Applications for Rectal Cancer: Staging, Prediction & Prognosis |
| Iva Petkovska |
| 8:00 | Cartilage Anatomy & Structure: MRI Correlation |
| Matthew Koff | |
Correlates to morphologic and quantitative MRI assessments of articular cartilage will be presented |
| 8:25 | The Role of MRI of Cartilage in Improving Clinical Management in Orthopedics: A Surgeon's Perspective |
| Daniel Saris | |
Cell based surgical repair of cartilage has progressed to a reliable therapeutical option. advanced imaging modalities with automated segmentation and disease focused presentation of relevant findings that correlate to patient's disease and monitor progress of healing would represent tremendous patient centered progress |
| 8:50 | Morphologic MR Imaging of Cartilage in Trauma & OA |
| Akshay Chaudhari | |
The lecture will present various different imaging methodologies that have been used for morphological and qualitative assessment of articular cartilage. We will discuss the benefits and challenges of these imaging techniques separately for clinical use-cases in assessing cartilage trauma as well as in research-focused studies evaluating cartilage degeneration in osteoarthritis. |
| 9:15 | Quantitative MRI of Cartilage: Relaxometry |
| Victor Casula | |
Quantitative relaxometry extends MRI beyond anatomical imaging and provides information on the physical structure, composition, and functional state of cartilage. Quantitative MRI techniques reflect the interaction of water with cartilage macromolecules and allow detection of early biological changes in cartilage. This part of the educational course is an overview of the most established techniques for quantitative relaxometry of cartilage, namely T2, T2* and T1ρ mapping and dGEMRIC. We will review their relationship with physiological properties of cartilage and give a description of their potential value as diagnostic biomarkers followed by a discussion of the limitations and challenges towards clinical applications. |
| 9:40 | Break & Meet the Teachers |
| 10:00 | Quantitative MRI of Cartilage: Diffusion, gagCEST & Sodium |
| Vladimir Juras | |
Osteoarthritis (OA) is a disease affecting the entire joint, including articular cartilage, subchondral bone, synovial tissues and menisci. Early OA stages in cartilage are manifested by a loss of glycosaminoglycans and disruption of collagen matrix. Quantitative MRI techniques provide an useful tool for detection of the structural changes. Here, the diffusion weighted MRI, gagCEST and sodium MRI are discussed, including each method pitfalls and advantages, as well as the overview of (clinical) applications. |
| 10:25 | MRI of Cartilage: Ex Vivo & Animal Models with Clinical Correlation |
| Eveliina Lammentausta |
| 10:50 | Translation of Quantitative MR of Cartilage from Research to Clinical Care |
| Thomas Link | |
In order to institute quantitative cartilage MRI in clinical practice a number of requirements need to be met. First of all, it is essential to define the exact clinical indications for quantitative imaging and how they would impact patient care. Second, image acquisition and analysis need to be standardized and meet clearly defined claims including reproducibility. Finally, sequences need to be approved by regulatory agencies and be available as a product from manufacturers. In this presentation we will discuss these different steps. |
| 11:15 | 7T MRI for Cartilage |
| Neal Bangerter |
| 8:00 | Strategies for Alleviating Anxiety & Minimizing Anesthesia in Pediatric MRI |
| Maddy Artunduaga |
| 8:30 | Short & Sweet: Technical Solutions to Minimizing Motion |
| Michael Gee | |
Motion is a common cause of image quality degradation in pediatric MRI and comes from a variety of sources. Motion artifacts can lead to difficulty visualizing small structures, incorrect apparent diffusion coefficient calculations on DWI, ghosting and blurring artifacts, and the need to repeat individual sequences or an entire exam. This talk will review current techniques to decrease patient motion, including fast imaging techniques, motion-robust sequences, indications for anesthesia/sedation, and motion correction technology. These strategies can all help reduce motion degradation and improve image quality during pediatric MRI. |
| 9:00 | An Holistic Approach to Improving the Patient Experience: Low-Cost Solutions |
| Nancy Beluk |
| 9:30 | Out-of-This-World Solutions (VR/AR) for Improving Education & Patient Care |
| Jesse Courtier | |
Augmented reality (AR) and virtual reality (VR) tools for radiology are starting to make a difference in real-world educational and clinical applications. This talk provides examples of real educational and clinical applications in the field of radiology with discussion of methods of implementation. |
| 10:00 | Break & Meet the Teachers |
| 10:20 | Placental MR: Structure & Function |
| Anne Sorensen | |
Placental relaxometry provides quantitative characterization of placental tissue. Placental dysfunction is associated with placental hypoxia, which can be depicted by placental relaxometry. Thus, this method provides direct evidence of placental dysfunction during pregnancy, which has the potential to improve pregnancy outcome through optimal pregnancy monitoring and timely delivery. This session will cover a comparison of placental T1, T2 and T2* in the prediction placental dysfunction, a correlation between MR images and placental anatomy, and a summary of current pitfalls of placental relaxometry in terms of acquisition, processing, and interpretation. |
| 10:40 | Abnormal Placentation: Case-Based Review |
| Priyanka Jha | |
Placenta Accreta Spectrum Disorder (PASD) is a life-threatening condition occuring in female patients who have previously undergone cesarean section or uterine instrumentation. In this condition, the placenta is strongly adherent to or invades the myometrium, without intervening decidua. It does not separate normally at the time of delivery, leading to catastrophic hemorrhage. Identifying the most frequent signs of PASD helps with diagnosis, including T2-dark intraplacental bands, placental/uterine bulge, loss of retroplacental T2-hypointense line, myometrial thinning and bladder wall interruption and focal exophytic mass and abnormal vascularization of placental bed. Presence of placental bulge is suggestive of higher grades of myoinvasion. |
| 11:00 | Emerging Patterns from Large-Scale MRI Studies of Human Placental & Fetal Development |
| Christopher Kroenke |
| 11:20 | Fetal Post-Processing Analysis |
| Ali Gholipour-Baboli | |
Advances in in-vivo fetal magnetic resonance imaging (MRI) have driven a vastly improved analysis of prenatal brain development, in-utero. In this presentation, we review post-acquisition processing techniques for fetal MRI. Our journey begins with a review of motion-corrected super-resolution slice-to-volume reconstruction techniques that have been at the center of the advances in fetal MRI. We will then discuss the applications of these techniques, including the construction of normative, spatiotemporal MRI atlases of the fetal brain, and techniques for image segmentation and group analysis. This talk covers techniques for the analysis of T2-weighted, diffusion-weighted, and functional MRI of the fetal brain. |
| 11:40 | Fetal Neuroimaging in Practice: An evidence - based rationale to analysis of fetal malformations producing vermis rotation and posterior fossa expansion |
| Stacy Goergen | |
Risk - stratification of fetuses with an upwardly rotated cerebellar vermis will improve prenatal counselling. |
| 8:00 | Designing Inclusive Clinical Trials & Study Populations |
| Karina Quiaoit | |
Biomedical research routinely produce broad claims about behavior and body function/dysfunctions based on data drawn largely from western, educated, industrialized, rich and democratic communities, often assuming there is little variation across populations, although the highest burden of chronic diseases resides in low-income and low-resourced communities. Neglecting such populations restricts our ability to characterize the full disease spectrum and understand complex disease pathogenesis, further exacerbating disparities across populations. With the introduction of novel imaging technologies aimed at enabling access to neglected populations, it is now time to reimagine inclusive imaging studies and clinical trials to advance discoveries with far reaching implications. |
| 8:30 | OurBrainsCAN: A Patient Registry for Inclusive Participatory Clinical Research |
| Laura Gonzalez |
| 9:00 | Creating a Regulatory Framework for Imaging Studies in Africa |
| Ernesta Meintjes |
| 9:30 | Biomedical Engineering Innovations for Inclusive Imaging Trials |
| TBD |
| 10:00 | Break & Meet the Teachers |
| 10:30 | Data Acquisition & Harmonization for Multi-Center Studies |
| Gareth Barker |
| 11:00 | Pragmatic Solutions and Technologies for Decentralized Clinical Imaging Trials |
| TBD |
| 11:30 | Flywheel: A Comprehensive Platform for Clinical Data Management |
| can akgun |
| 12:00 | Cloud-Enabled Imaging Informatics & Analytics Solutions for Inclusive Imaging Trials |
| TBD |
| 8:00 | Fundamentals of Machine & Deep Learning |
| Jong Chul Ye | |
In this talk, we will briefly review the current trends of deep learning and explain how they have been employed in MR imaging. In particular, we review the principles of Transformer, generative adversarial nets, optimal transport, cycleGAN, noise2void, noise2score, and score-based diffusion model. MR application of these methods will be also reviewed. |
| 8:25 | Machine Learning for Protocoling & Radiological Workflows |
| Susan Sotardi | |
Synopsis: |
| 8:50 | Deep Learning for Image Acquisition & Reconstruction |
| Matthew Rosen | |
The availability of inexpensive GPU-based compute has opened the door to new strategies for the acquisition and the reconstruction of highly-undersampled imaging data. We have been developing neural network deep learning based approaches such as AUTOMAP and to leverage scalable-compute and significantly reduce the need for precision scanning hardware. These approaches are very valuable in low SNR regimes like millitesla MRI or high-b value DWI. We describe here the AUTOMAP formalism and how it can be used to improve reconstruction SNR and accuracy as well as open up the possibility of new sampling strategies. |
| 9:15 | Unsupervised Deep Learning for Fast Imaging: From DAE to Generative Model |
| Qiegen Liu | |
Recently studies have witnessed great progresses of generative modeling in medical imaging reconstruction like fast MRI and low-dose CT, etc. Particularly, the series of works from denoising autoencoders to denoising score matching as well as score-based diffusion model exhibits great promising performance in reconstruction quality and algorithm robustness. In this talk, we will first review the relationship among these algorithms. Then, we reveal the underlying ideas that substantially contribute to the performance improvements, such as constructing high-dimensional space and conducting on data samples with different geometrical properties. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Special Topics I: Unsupervised vs. Supervised Learning |
| Valentina Pedoia |
| 10:30 | Vision Transformers in Medical Imaging |
| Tolga Cukur | |
Deep learning models have been swiftly established as state-of-the-art in recent years for difficult medical image formation and analysis tasks such as reconstruction, synthesis, super-resolution and segmentation. A critical design consideration for model architectures is the capacity to account for representation errors that comprise both locally- and globally-distributed elements. While convolutional models with static local filters have been widely adopted due to their computational benefits, they lack in sensitivity for contextual or anomalous features. Instead, the recently emerging vision transformers are equipped with global attention operators as a universal mixing primitive for minimizing representation errors in diverse medical imaging tasks. |
| 10:55 | Application in the Clinic: Predicting Phenotypes, Prognosis & Outcome |
| Yun Peng |
| 11:20 | Clinical Outlook: Pitfalls & Promises |
| Xiaoying Wang |
| 8:00 | CEST I: from basic mechanism to applications |
| Iris Zhou | |
CEST MRI is an emerging molecular imaging technique that allows sensitive detection of endogenous or exogenous molecules containing exchangeable protons. CEST imaging has been demonstrated in mapping low-concentration metabolites and microenvironment properties in various organs and diseases, promising in a host of in vivo applications and translation to humans. A deeper understanding of the underlying CEST contrast mechanism, imaging approaches, and quantification methods allows extracting particular signal components of interest, and thus, the improvement of specificity. |
| 8:25 | CEST II |
| Amnon Bar Shir | |
Label-free (and metal-free) molecular probes developed for molecular and cellular CEST imaging provide with unprecedented versatility to design them for monitoring a wide range of biological events. Here, the principles upon which a novel CEST probe should be based on will be discussed and examples of established, well-studied probes as well as recently developed ones will be presented. Moreover, the combination of 19F-MRI and CEST-MRI to obtain a new type of contrast, 19F-CEST, will be highlighted and discussed. Although CEST based probes should be further developed, their performances have already demonstrated their contribution to advance molecular and cellular MR imaging. |
| 8:50 | Paramagnetic Agents I |
| Eric Gale | |
MRI using targeted molecular probes enables non-invasive diagnosis, quantification, and longitudinal monitoring of the cell- and molecular-level determinants driving disease. However, developing a molecular MR imaging probe is challenging. MR imaging probes are detected with low sensitivity and overcoming this limitation is paramount amongst the challenges to probe development. This talk describes the molecular mechanisms underpinning paramagnetic relaxation enhancement and how these parameters may be tweaked for imaging probe optimization. The talk is designed for an audience that understand T1 and T2 relaxation and how these properties relate to image contrast. |
| 9:15 | Paramagnetic Agents II |
| Veronica Clavijo Jordan | |
Optimal detection of targeted paramagnetic molecular probes in vivo by MRI rely on multiple factors. Largely the optimization of its chemical and biophysical characteristics, interaction with the desired target, biodistribution, etc. In this talk we will introduce a clinical case to emphasize the use case of a targeted molecular probe and discuss the key aspects for detection from an applications perspective. We will introduce and compare a variety of molecular probes that have proven successful at detecting a target in vivo. Furthermore, this talk will tie in considerations for clinical applications and the path to translation. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Metabolic Imaging with Multinuclear Spectroscopic Agents |
| Christian Farrar | |
Metabolic imaging can provide key insights into disease mechanisms and therapeutic response at much earlier time points than anatomical imaging. While multinuclear magnetic resonance spectroscopy of 13C-, 15N- or 2H-labeled spectroscopic agents can provide high specificity for the detection of different metabolic products, with no background signal and well resolved metabolic signatures, it suffers from low sensitivity. The low sensitivity can be overcome with hyperpolarization or by rapid averaging of signals from deuterated spectroscopic agents with short T1. In this presentation we will review different methods and challenges for detecting multinuclear spectroscopic agents and their application to metabolic imaging. |
| 10:30 | 129Xe & 19F Multinuclear MR Molecular Imaging |
| Xin Zhou | |
Multi-nuclear MRI technology extends clinical 1H MR imaging to multi-nuclei imaging of lungs and other organs. Aiming at the great demand of early diagnosis of lung and brain critical diseases, we have constructed high sensitivity, high specificity, and environment responsive molecular probes, which uses 129Xe/19F/1H multi-nuclear magnetic resonance enhancement technology. Furthermore, through the multi-modal and multi-scale study of lung cancer molecular function, cell behavior, in vivo lesions to human lung function, it provides a theoretical basis for the transformation of high-sensitive 129Xe/19F/1H multi-nuclear magnetic resonance molecular imaging in basic research to clinical. |
| 10:55 | Superparamagnetic/Nanoscale Agents I |
| Jeff Bulte | |
As compared to other molecular imaging techniques MRI l has a notorious low sensitivity. One way to increase sensitivity is increasing the payload of MRI contrast agents (paramagnetic and/or superparamagnetic agents) or tracers (perfluorocarbons) in the form of nanoparticles. I will discuss some of the latest directions in the design and use of nanoscale MR imaging agents, including the use of diaCEST agents, multi-spectral agents, pH imaging agents, and functional agents sensing the tumor microenvironment. I will also discuss how certain MRI studies are now being duplicated using MPI, and review the advantages and disadvantages from a clinical perspective. |
| 11:20 | Magnetotheranostics |
| Xiaoyuan Chen | |
Theranostics is a fast-growing field due to demands for new, efficient therapeutics which could be precisely delivered to the target site using multimodal imaging with enhancing auxiliary actions. In this talk we discuss theranostic nanoplatforms containing magnetic nanoparticles along with other components. Magnetic nanoparticles allow for both diagnostic and therapeutic capabilities. We focus on the most important design strategies to achieve optimal theranostic effects as well as the roles of different components included in theranostics. |
| 8:00 | Encoding Diffusion: Basics |
| Amy Howard | |
This talk will introduce the basic concepts behind diffusion encoding and how, by mapping the microscopic motion of water molecules through tissue, we can infer microstructural information in vivo. Specifically, we will discuss how diffusion weighting is achieved through the use of time-varying magnetic field gradients, and how we can manipulate the encoding to provide sensitivity to different aspects of the microstructure (e.g. the size and shape of cells, or fibre orientations in the white matter). Here we will focus on three methods: single diffusion encoding, double diffusion encoding and the use of oscillating gradients. |
| 8:25 | Encoding Diffusion: Advanced gradient design and relaxation-weighting |
| Filip Szczepankiewicz | |
This lecture will explore and illustrate how additional measurement dimensions can be added to conventional diffusion MRI. We motivate the effort to use 'multidimensional' MRI and describe the principles of tensor-valued as well as diffusion time dependent encoding. We also overview how dMRI can be combined with T1 and T2-weighting. Finally, we will briefly survey the 'uninvited' effects that may confound the measurement. |
| 8:50 | Diffusion Pre-Processing & Artifact Correction |
| Rafael Neto Henriques | |
As any other MRI modality, diffusion MRI can be corrupted by artifacts. In this lecture, we will introduce the common artifacts that compromise diffusion MRI, discuss how these can affect different diffusion MRI estimates, and which state-of-the-art pre-processing strategies can be used to minimize their effects. |
| 9:15 | Diffusion MRI in Group Studies |
| J. Donald Tournier | |
Diffusion MRI (dMRI) is unique in its ability to probe tissue microstructure, and is clearly relevant in many neuroscientific investigations. Group studies are particularly powerful here given the typically small effect sizes. However, dMRI data come in various forms, leading to a multitude of different approaches for group studies, ranging from relatively traditional voxel-based analyses of microstructural features through to graph-theoretical analyses of connectomics, with many different variations in between, each requiring bespoke statistical handling to make the most of the data. In this talk, we will review the most common approaches used for group studies. |
| 9:40 | Break & Meet the Teachers |
| 10:05 | Modeling Diffusion in the Brain White & Gray Matter |
| Ileana Jelescu | |
In this lecture, we will (i) clarify the distinction between signal representations and biophysical tissue models and provide an overview of relevant model features in white and gray matter, respectively, (ii) review the challenges and most recent developments in model parameter estimation, and (iii) discuss the potential for clinical translation of biophysical models. |
| 10:30 | Modeling Diffusion in Cancer and Body |
| Francesco Grussu | |
Diffusion MRI (dMRI) sensitises the MRI signal to the underlying patterns of water diffusion, enabling the inference of salient characteristics of tissue microstructure (e.g., density and size of cells) from multiple signal measurements. Promising dMRI finds an increasing number of applications in several anatomical regions and diseases. This talk will provide an overview of popular approaches for dMRI signal modelling in oncological body imaging. Examples of techniques that will be covered are: multi-compartment models for prostate, liver and breast MRI (e.g., VERDICT, IMPULSED, POMACE); b-tensor encoding in prostate and kidney; apparent exchange rate measurement in the breast. |
| 10:55 | Microstructure-Informed Tractography |
| Simona Schiavi | |
Microstructure-informed tractography is a relatively new area of research that aims at combining tractography with tissue microstructural information in the pursuit of more quantitative and biologically oriented estimation of brain connectivity. This lecture introduces key concepts and motivations behind microstructure informed tractography and motivates why they are relevant in the context of quantifying structural connectivity. Following this lecture, researchers and clinicians who are interested in structural connectivity will learn how to build more veridical and quantitative connectomes using diffusion MRI and multimodal acquisitions. |
| 11:20 | Preclinical & Histological Validation |
| Luis Concha | |
The ability to infer tissue characteristics from diffusion MRI allows for non-invasive study of disorders of the brain and other organs. Being an indirect method, diffusion MRI warrants proof that the true nature of tissue architecture is faithfully reflected on the derived metrics. This presentation will summarize the approaches that have been used to validate diffusion MRI with histology, which range from qualitative descriptions of classic stains, to advanced analyses of three-dimensional high-resolution histological preparations. |
| 8:00 | Basic Principles of MRI: A Historical Perspective |
| TBD |
| 8:30 | Nuclear Spins: From Quantum Mechanics to Classical View |
| Gonzalo Alvarez | |
In this talk, I would introduce the basic physics underlying nuclear magnetic resonance. I will present the quantum mechanical description vis-à-vis the classical description of non-interacting spins in static (B0) and time-dependent fields (B1). The spin polarization and its corresponding thermodynamic equilibrium will be introduced based on the density matrix representation. The spin state evolution is dictated by the Liouville–von Neumann equation that gives the laws on how the spin polarization and its coherence evolve as a function of time. This quantum equation of motion arrives at the Bloch equation. |
| 9:00 | Semiclassical Theory of Relaxation |
| Valerij Kiselev | |
The goal of this lecture is to explain the mechanisms of relaxation caused by the thermal motion of molecules. The focus is on emergence and the role of the correlation functions of random magnetic field. Properties of these functions help understanding the dependence of longitudinal and transverse relaxations on the rate of molecular motion. The difference in these dependencies is the key for explaining several phenomena practically important for NMR and MRI. This lecture relies on the basic notions of analysis, quantum mechanics, statistical physics and Fourier transformation. |
| 9:30 | Interactive Session |
| 10:00 | Break & Meet the Teachers |
| 10:30 | Basic Bloch Equations |
| Jana Hutter | |
The Bloch equations form the basis of MR contrast mechanisms. They provide a classical description of the evolution of the magnetization during any MRI experiment and thus allow to understand how the magnetization evolves under different conditions and influences. This lecture will introduce the Bloch equations and give an overview of different sets of conditions affecting MR experiments. The main types of relaxation are introduced and examples shown.
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| 11:00 | Extensions to the Bloch Equations - chemical exchange |
| Moritz Zaiss | |
The extension of the Bloch equations regarding chemical exchange are shown and analyzed. Analytical solutions provide sound insight in the Bloch-McConnell equation system that underlie every exchange-weighted contrast, be it CEST, T1ρ or T2, as well as semisolid magnetization transfer. In this lecture we show that for all experiment affecting the water magnetization, a single eigenvalue solution is able to describe all these experiments. This knowledge forms the basis for interpretation of the outcomes of different exchange-weighted contrasts as well as quantification of exchange. |
| 11:30 | Extended Phase Graphs |
| Shaihan Malik | |
This talk will aim to introduce the concept of using phase graphs both as an intuitive analytic tool, and as a method of numerical simulation. |
| 12:00 | Interactive Session |
| 13:00 | Genes & Molecules: Why Should We Care? |
| TBD |
| 13:25 | Brain Tumors: A Tour of Current Clinical Practice |
| Mai-Lan Ho | |
This lecture will cover the imaging spectrum of adult and pediatric brain tumors with rich clinical case material, implementation of quantitative and advanced MRI techniques, and practical tips regarding diagnostic pearls and pitfalls. In addition, we will review key molecular pathways and genomic signatures relevant to patient diagnosis and management. Finally, we will introduce the concept of imaging genomics with examples of genotype-phenotype correlation, radiogenomics and deep learning, and emerging theranostic approaches. |
| 13:50 | Perfusion MRI: How to Choose Between (& Within) Techniques |
| C. Chad Quarles | |
The overall purpose of this educational lecture is to discuss perfusion imaging options for brain tumor imaging. Topics will include protocol design informed by contrast mechanisms, sensitivity, and clinical utility. Emerging perfusion imaging techniques and their potential to aid in clinical decisions will also be discussed. |
| 14:15 | Diffusion Within the Tumor Microenvironment |
| Markus Nilsson | |
This lecture will explain the link between tumor microstructure and the different parameters that we can observe with diffusion MRI. |
| 14:40 | Break & Meet the Teachers |
| 15:05 | How to Measure Molecules in Brain Tumors & Why |
| Brent Weinberg | |
Brain tumors are a challenging diagnosis that depend heavily on imaging, but routine MRI sequences including diffusion (DWI), FLAIR, and post-contrast T1 have their limitations. MRS has the capability to measure molecular concentrations non-invasively and without a contrast injection. Whole brain spectroscopic MRI (sMRI) has the potential to improve the clinical impact of MR spectroscopy on diagnosis and treatment of brain tumors by guiding surgical and radiation management in a way that can improve patient outcomes. Future developments may bring further applications of this technology beyond brain tumors and into other categories of disease. |
| 15:30 | X-Nuclei Imaging in Brain Tumors |
| Tanja Platt | |
Physiologically relevant nuclei that enable MR applications ('X-nuclei') in tumor imaging in addition to hydrogen (1H) will be presented and the special MR characteristics of these nuclei will be explained. X-nuclei MR applications offer a wide variety of applications in science and translational research. Here, an overview of the physical MR properties of these nuclei and clinical research applications in brain tumor imaging will be given. |
| 15:55 | Treating Brain Tumors: What Can We Do (& Where Do We Still Fail) |
| Manabu Kinoshita | |
Surgical impact on overall survival for IDH-mutant tumors is much more significant than IDH-wildtype tumors. Thus, the role of neuroimaging is different between these two diseases. It is crucial to predict the presence or absence of IDH mutation, as it has a significant influence on the surgical strategies of the tumor. On the other hand, it is still difficult to fully visualize the full extension of the disease for IDH-wildtype tumors, which hinders planning the most efficient radiotherapy. The author would like to provide an overview of the current standard treatment strategies for gliomas, referring to the role of neuroimaging. |
| 16:20 | Challenges in Imaging Treated Brain Tumors |
| Yae Won Park | |
The accurate assessment of glioma disease status is challenging due to the complex combination of therapies and treatment-related changes, along with the sometimes ambiguous and overlapping imaging findings. The history of response assessment in glioma – Macdonald, RANO, and mRANO – will be introduced and discussed. The posttreatment imaging findings, including pseudoprogression, radiation necrosis, pseudoresponse, and true progression, will be discussed. In short, this lecture will endeavor to aid the real-world imaging interpretation situation, where us radiologists must make our own decision on the posttreatment glioma MRI with the accessible information, and give the clinicians a satisfying answer. |
| 13:00 | Advances in Carotid MR Vessel Wall Imaging Techniques |
| Chun Yuan | |
Carotid vessel wall imaging complements angiographic techniques, which are based on measurements of luminal stenosis, has the ability to identify atherosclerotic plaque features associated with increased risk for ischemic events. These features include luminal morphology, fibrous cap rupture, and ulcerations, intraplaque hemorrhage, lipid rich necrotic core, neovasculature and inflammation, and overall plaque burden. There are many imaging techniques developed for vessel wall imaging and quantitative analysis in recent years.This talk will summarize the current expert consensus on carotid vessel wall imaging and introduce recent advances in MRI based techniques. |
| 13:25 | Clinical Applications of 3D MR Vessel Wall Imaging |
| Huilin Zhao | |
3D MR vessel wall imaging (3D MR VWI) can characterise vessel wall pathology affecting extra- and intracranial arteries and helps in differentiating vasculopathies. 3D MR VWI has emerged as an invaluable technique for understanding and evaluating cerebrovascular diseases. In this talk, technical considerations of 3D MR VWI are discussed and current applications of 3D MR VWI in cerebrovascular atherosclerosis, aneurysm and dissection are reviewed. |
| 13:50 | Exercise Cardiac MR Techniques |
| Oliver Wieben | |
Exercise cardiovascular magnetic resonance (CMR) is an emerging technique with great clinical potential. Advances in device design and availability and image acquisition and reconstruction and MR methodology continue to improve the image quality and robustness and enable novel research approaches such as realtime MRI or complex quantitative hemodynamic analysis with 4D Flow MRI under exercise conditions. |
| 14:15 | Clinical Applications of Exercise Cardiac MR |
| Andreas Schuster |
| 14:40 | Break & Meet the Teachers |
| 15:05 | Cardiac MR Spectroscopy: Techniques & Applications |
| Adrianus Bakermans | |
Metabolic derangements have been identified in various cardiovascular pathologies, and many metabolic disorders may lead to a cardiac phenotype. Magnetic resonance spectroscopy (MRS) has the unique capability to provide quantitative data on in vivo tissue content of relevant metabolites, and can therefore be of added value to cardiac MRI protocols. Human anatomy and physiology pose substantial challenges to adequately localized MRS of the in vivo heart. This educational will discuss localization strategies for MRS of the in vivo heart, consider aspects for a meaningful quantitative interpretation of acquired spectra, and highlight various applications of proton, phosphorus-31 and carbon-13 MRS. |
| 15:30 | Hyperpolarized Cardiac MR: Opportunities & Challenges |
| Jessica Bastiaansen | |
Hyperpolarization methods have enabled metabolic imaging of the heart with unprecedented signal gains. Hyperpolarized metabolic imaging following dissolution DNP made its way to the clinic within 10 years of its discovery. Despite its fast progress, the field relies on the proximity of dedicated hardware and fast imaging approaches to get around the rapid T1 induced signal loss. In this educational talk we will introduce the topic of hyperpolarization and its application to cardiac metabolic imaging. We will compare its strengths and weaknesses with other imaging modalities, and discuss the current challenges and remaining opportunities of this promising field. |
| 15:55 | Fetal Cardiac MR |
| Su-Zhen Dong | |
The objective of this presentation is to provide an overview of fetal cardiac MR imaging methods and their applications in congenital heart disease. |
| 16:20 | Motion Management in Pediatric Cardiac MR |
| Eric Schrauben | |
Pediatric cardiac patients have high heart rates and fast and often irregular breathing. Aperiodic and sporadic bulk motion is also an issue, especially for very young patients. Mitigation, compensation, or correction of motion is therefore paramount. This educational talk will describe patient preparation, hardware, acquisition, and reconstruction strategies for motion. Simple routine approaches will be discussed, such as: sedation versus general anesthesia and breath-holding versus averaging. More advanced and emerging approaches, which include real-time imaging, resolving cardiorespiratory motion, and the application of machine learning, will also be addressed. Examples from literature and ISMRM will be highlighted to exemplify these approaches. |
| 13:00 | PET/MRI: Technical Considerations |
| Alan McMillan | |
PET/MR integrates two modalities that are highly complementary. This presentation discusses some of the technical considerations relating to integration of PET and MRI, attenuation correction, and optimization of imaging protocols. |
| 13:25 | PET/MRI: A Clinical Primer |
| Clemens Cyran |
| 13:50 | Use Cases: PET/MRI in Hematologic Malignancies & Neuroendocrine Tumors |
| Marius Mayerhoefer |
| 14:15 | Use Cases: PET/MRI in Prostate Cancer |
| Spencer Behr |
| 14:40 | Break & Meet the Teachers |
| 15:05 | Bladder Cancer: VI-RADS |
| Valeria Panebianco | |
The purpose of the talk is to describe the 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 | Prostate MRI: PI-RADS |
| Baris Turkbey |
| 15:55 | Whole-Body MRI: MET-RADS-P |
| Anwar Padhani | |
Learning Objectives: •To provide a rationale for the use of WB-MRI when evaluating malignant metastatic disease extent and for therapy response assessments •To show how measurements are acquired distinguishing between tumor detection (core) and response assessment (comprehensive) protocols that are MET-RADS compliant •To highlight and review the MET-RADS response assessment criteria and their application •To illustrate MET-RADS usage with case examples and to provide data on MET-RADS use in clinical practise •Outline the next steps for MET-RADS development |
| 16:20 | Rectal Cancer Staging |
| Hina Arif-Tiwari | |
MR imaging for rectal cancer plays a key role in driving management decisions by assisting the multidisciplinary team colorectal cancer team. The decision for surgery +/- neoadjuvant chemotherapy is based on tumor staging on MRI. Good quality rectal cancer MRI protocol and standardized reporting enables the radiologist (a) To provide rectal cancer staging with T and N categories (b) To describe cancer location thereby directing surgical method of choice (c) detect the presence of extramural vascular invasion (EMVI) (d) delineate tumor extension in the mesorectal fascia and (e) identify tumor infiltration into anal sphincter complex in low rectal cancers. |
| 13:00 | MSK MR Protocols |
| Feliks Kogan | |
MRI has become the hallmark for imaging of the musculoskeletal system due to its ability to image MSK tissues at high resolutions with multiple contrasts. Tailoring MRI sequences allows for optimization of anatomy or pathology of interest, removal of fat, imaging at higher resolutions or with more signal to noise, among other advantages. In this educational talk, we will discuss the MRI image contrast mechanisms, methods for suppression of fat signal, common MSK MRI pulse sequences and image considerations. Further, we will briefly cover novel MSK imaging approaches including accelerated imaging and reconstruction, non-cartesian MRI, bilateral scanning, and contrast/non-contrast imaging. |
| 13:30 | Artifacts and Pitfalls in MSK MR Imaging |
| Andrew Fagan | |
Image artifacts are commonly encountered in musculoskeletal MRI, and can lead to difficulties in correct image interpretation. While some artifacts are very obvious in an image, and the challenge then becomes one of ‘reading around’ the artifact, others can be more subtle and could be easily misinterpreted as a pathology. Understanding the source of an artifact can help to minimize its prevalence during set-up/scanning, or to differentiate artifact from genuine pathology when present in an image. This interactive talk will present a range of common (and some not-so-common) image artifacts, and discuss their source and strategies to minimize their impact. |
| 14:00 | MRI of the Hand & Wrist |
| James Teh |
| 14:30 | MR Anatomy of the Knee |
| Hakan Ilaslan |
| 15:00 | Break & Meet the Teachers |
| 15:30 | MR Anatomy of the Foot and Ankle |
| Carolyn Sofka | |
Currently available MR pulse sequences for daily work evaluating foot and ankle pathology will be presented. Anatomy and specific foot and ankle disorders will be reviewed with an emphasis on progressive collapsing foot deformity, the spring and deltoid ligaments and articular cartilage injuries and repair and their MR appearances. A discussion of protocol considerations in the setting of metal will also be included, specifically with regards to imaging the painful total ankle replacement. |
| 16:00 | MR Anatomy of the Hip |
| Benjamin Fritz |
| 16:30 | MR Anatomy of the Shoulder |
| Francis Baffour | |
This presentation will review the anatomy of the shoulder with specific attention to structures identified on magnetic resonance imaging. The anatomy of the shoulder will be discussed in the context of clinical cases. |
| 13:00 | The Role of Systematic Reviews & Meta-Analyses in Imaging |
| Paulien Moyaert | |
No one would disagree that clinical decisions should be based on the highest quality evidence. But it is simply the case that current medical practice cannot keep up with the available research. However, evidence-based medicine (EBM) does not necessarily have to be time-consuming. Practicing in an evidence-based way no longer means evaluating original research. Instead, it means finding secondary sources that give you a useful, actionable bottom line based on the evidence.In this lecture I’ll take you through the history of EBM, the EBM philosophy and the role of systematic reviews in evidence-based practice and research. |
| 13:25 | Protocols for Rigorous Imaging Systematic Reviews & Meta-Analyses |
| Confidence Raymond | |
Systematic reviews (SR) and Meta-analysis (MA) provide high-level evidence by means of objective evaluation of all available primary studies. This evidence can influence clinical decision-making, healthcare policy-making, and research practice. In imaging, studies involving MRI and other imaging modalities are performed using imaging protocols that are not standardized across studies. Hence, methodological rigor and complete reporting are crucial to ensure that SR & MA of imaging studies are based on the highest possible quality. This lecture will outline a step-by-step approach to performing SR and MA from problem formulation and data acquisition to quality appraisal, of studies, statistical analysis and interpretation of evidence. |
| 13:50 | Review in Practice: Meta-Analysis of MRI Biomarkers of Myelin |
| Matteo Mancini | |
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| 14:15 | Review in Practice: Cardiovascular MRI Consensus Statement |
| Michael Salerno |
| 14:40 | Break & Meet the Teachers |
| 15:05 | When Is It Time for a White Paper? |
| Matthias van Osch | |
In this presentation, it will be discussed when it is the right time to publish a White Paper. Timing is dependent on whether experts in the field are willing to join forces and reach consensus, whether real consensus is reached on what the right approach is, when the field is confusing for users and vendors and a white paper would provide the much needed guidance, and when the field has reached some kind of stable level, so that the White paper will not be immediately outdated. |
| 15:30 | How to Craft a White Paper |
| Xavier Golay | |
White Papers can be a powerful means to establish an MRI method in a particular clinical applications. The writing of such consensus papers is not trivial, and may contain multiple caveats. In this presentation, I will be going through the various steps to establish such a paper, and demonstrate its potential impact. |
| 15:55 | White Paper in Practice: Renal Perfusion MRI Using Arterial Spin Labelling |
| Maria Fernandez-Seara | |
The objective of this talk is to introduce and describe the methodology followed to generate the technical recommendations for acquisition, processing, and analysis of renal ASL data in the human kidney. The recommendations were developed employing a seven-stage process: (1) formation of the expert panel; (2) definition of the context of use; (3) literature review; (4) collection and comparison of MRI protocols; (5) consensus generations by an approximate Delphi method; (6) reporting of results in vendor-neutral and vendor-specific terms; (7) on-going review and updating. |
| 16:20 | White Paper in Practice: MRI Safety Recommendations |
| Vikas Gulani |
| 13:00 | A Technical Overview of Quantitative Imaging |
| Martijn Cloos | |
This talk reviews key principles of quantitative MRI. We will focus on methods to estimate longitudinal relaxation (T1), transverse relaxation (T2), and transmit field variations (B1+) in the brain. We will also briefly touch on other quantifiable properties, such as magnetisation transfer (MT), and discuss some of the limitations associated with model-based methods to quantitative properties of complex organic samples using MRI. Finally, we will briefly reflect on the trade-off between accuracy and precision, and its possible implications for future work. |
| 13:25 | Clinical Translation & Benefits of Quantitative MR |
| Meiyun Wang | |
As an advanced MRI technique, Magnetic Resonance Fingerprinting (MRF) that allows simultaneous quantification of T1 and T2 relaxometry has great potential for accurate diagnosis and assessment of neurological diseases. In this presentation, we briefly introduce the application of the MRF on several neurological diseases in Henan Provincial People’s Hospital, including movement disorders, brain tumors and Epilepsy. The results turn out that quantitative T1 and T2 values yielded from MRF have high accuracy and repeatability in brain tissues and therefore provide better diagnose outcomes over conventional MRI, which gives rational evidence for further application of MRF. |
| 13:50 | Relaxometry Acquisition & Analysis |
| Sean Deoni |
| 14:15 | Magnetic Resonance Fingerprinting & Multiparametric Quantification |
| Yong Chen | |
Magnetic Resonance Fingerprinting (MRF) is a novel imaging technique for rapid and simultaneous quantification of multiple tissue properties. The method has been applied for quantitative imaging of many different organs. Compared to conventional quantitative MR imaging approaches, MRF has demonstrated superior performance in imaging speed, accuracy and efficiency. In this presentation, I will first provide a technical overview of the MRF method from data acquisition to post-processing. Recent development in advanced reconstruction methods, integration with machine learning, and application in clinical studies will also be reviewed. |
| 14:40 | Break & Meet the Teachers |
| 15:05 | Perfusion & Vasculature Imaging |
| John Detre | |
Blood flow and tissue perfusion are fundamental physiological functions and disorders of blood flow and perfusion are major causes of medical morbidity and mortality. MRI methods provide noninvasive quantification of blood flow and perfusion in standard physiological units and have a broad range of applications in basic and clinical research. This presentation will briefly summarize key MRI methods for quantifying flow and tissue-specific perfusion and illustrate some of their applications as biomarkers in health and disease. |
| 15:30 | Diffusion-Based Microstructure Quantification |
| Maryam Afzali | |
Diffusion MRI is a non-invasive technique to study tissue microstructure. Differences in the microstructural properties of tissue, including size and anisotropy, can be represented in the signal if the appropriate method of acquisition is used. Microstructural properties of the tissue at a micrometer scale can be linked to the diffusion signal at a millimeter-scale using biophysical modeling. However, to depict the underlying properties, special care must be taken when designing the acquisition protocol as any changes in the procedure might impact on quantitative measurements. |
| 15:55 | Motion-Resolved Parameter Mapping |
| Nan Wang | |
Quantitative parametric MRI is a powerful tool for the characterization of tissues and management of diseases. In recent years, several motion-resolved parametric mapping techniques have been proposed, enabling the tissue quantification in heart, liver, and other moving organs. The motion states are characterized from the center k-space data or external recording. The reconstruction recovers multiple images at different motion states by exploiting the correlation along different dynamics. |
| 16:20 | Translational Research in Pediatrics |
| Minhui Ouyang | |
The pediatric brain undergoes dramatic changes during development. Neuroimaging techniques, such as diffusion MRI and perfusion MRI, provide unprecedented opportunities to noninvasively quantify the brain changes in a pediatric population at both global and regional levels. These MRI methods offer a wealth of structural, functional, and physiological brain properties that could be used as biomarkers. This talk will briefly review the applications of diffusion and perfusion MRI technologies in brain development, as well as pediatric diseases and disorders such as autism, with protocols/pipelines tailored to pediatric populations. |
| 13:00 | MR Angiography: Basics |
| TBD |
| 13:25 | MR Angiography: Translational Potential to Combine High-Resolution MRA with single-vessel BOLD, CBV and CBF-velocity fMRI |
| Xin Yu | |
There are two ongoing challenges when specifying vascular function underlying vascular cognitive impairment in patients. One issue is the size of vessels that altered anatomy and function can be detected in the brain. The other issue is the location of the affected vessels to be detected, e.g. gray matter vs. white matter, or cortical vs. subcortical cerebral vasculature. MR Angiography(MRA) provides the key anatomical vasculature measurement when studying cerebrovascular diseases or impaired cerebral blood flow related to vascular dementia. Here, we will discuss the linkage of high-resolution MRA with single-vessel fMRI to characterize vessel-specific oxygenation(BOLD), cerebral volume, and flow changes. |
| 13:50 | Dynamic Contrast: Basics |
| Ho-Ling Anthony Liu | |
Dynamic susceptibility contrast (DSC) and dynamic contrast enhanced (DCE) MRI are two widely used methods in the clinic to evaluate perfusion and microvasculature of the tissue. They acquire dynamic T2*- and T1-weighted images, respectively, before and after a bolus injection of the Gd-based contrast agent (GBCA). The measured signal time curves can be converted to concentration time curves which are then used to quantify physiological parameters, such as blood flow, blood volume, transit times, vessel permeability, and volume fraction of the extravascular extracellular space. This lecture will cover basic principles, image acquisition, and quantitative analysis of the two MRI methods. |
| 14:15 | Dynamic Contrast: State of Clinical Applications |
| TBD |
| 14:40 | Break & Meet the Teachers |
| 15:05 | ASL: Basics |
| Hanzhang Lu | |
Arterial spin labeling (ASL) MRI is a non-invasive technique to measure cerebral blood flow (CBF) and other hemodynamic parameters. In 2015, an ASL white paper was published on the clinical implementation of ASL, which largely harmonized the acquisition and processing of ASL MRI in basic science and clinical application. More recently, there are several ongoing efforts that aim to provide further recommendations on the use of ASL MRI. There is also an international initiative to standardize and enable open-source processing of ASL MRI data. This presentation will provide a summary of these latest progress. |
| 15:30 | ASL/VASO: State of Clinical Applications |
| Lirong Yan | |
Vascular imaging has been widely used in clinical routine practice. Arterial spin labeling (ASL) and vascular space occupancy (VASO) are two non-invasive vascular MRI techniques that enable measuring cerebral blood flow (CBF) and cerebral blood volume (CBV), respectively, without the use of exogenous tracers. Given the complete non-invasive profile, ASL and VASO have been demonstrated as useful vascular imaging tools in some selected clinical applications, such as stroke, vascular malformation, tumor, and neurodegenerative diseases, etc. This talk will review the current state of clinical applications using ASL and VASO. |
| 15:55 | Applications of MRI Vascular Function to Disease I |
| Chun Yuan | |
MRI contrast agent application has played a key role in vascular disease diagnosis from its early adoption in dynamic MR angiography to recent applications in a wide range of vascular disease: such as atherosclerosis, aneurysm, and vasculitis. Imaging techniques including analysis tools have also advanced to improve data acquisition, quantitation, and analysis.This talk will introduce several contrast agent applications in vascular disease and the technical advancement. |
| 16:20 | Applications of MRI Vascular Function to Disease II |
| Lawrence Latour |
| 13:00 | MT: Principles & Methods |
| David Alsop | |
Magnetization Transfer (MT) imaging enables the imaging of the molecular constituents of microstructure using conventional water proton imaging methods. The physical basis of MT imaging, methods for acquiring and quantifying MT, and newer developments to enhance MT specificity will be reviewed. Example applications for characterizing tissue microstructure will be presented. |
| 13:25 | MT: Applications |
| Rebecca Samson |
| 13:50 | Susceptibility: Principles & Methods |
| Manisha Aggarwal | |
This lecture will cover the concepts and principles of magnetic susceptibility as a contrast mechanism in MRI. We will discuss the principles of magnetic susceptibility and its sources in biological tissues. MRI acquisition sequences and methods for generating susceptibility-based contrasts including susceptibility-weighted imaging, quantitative susceptibility mapping, and susceptibility tensor imaging will be discussed. We will explore some recent applications of magnetic susceptibility in MRI for probing various aspects of tissue composition as well as white matter microstructure in the brain. |
| 14:15 | Susceptibility: Applications |
| Hongjiang Wei | |
Quantitative susceptibility mapping (QSM) provides a non-invasive way to measure the spatial distribution of magnetic susceptibility. In brain tissue, the susceptibility can originate from several biomaterials and molecules such as iron, myelin, calcium, deoxyhemoglobin, etc. The state and concentration of these molecules may change with brain developmental and aging processes or the pathological processes of neurodegenerative diseases, e.g., Parkinson’s disease, Alzheimer's disease, multiple sclerosis. Furthermore, QSM improves the visualization of deep gray matters, showing the potential to accurately brain segmentation and helpful for atlas construction. Additionally, the applications of QSM outside the brain are also introduced. |
| 14:40 | Break & Meet the Teachers |
| 15:05 | T1: Principles & Methods |
| Carl Michal | |
T1 relaxation describes the approach of nuclear spin magnetization to thermal equilibrium and plays a fundamental role in every MRI scan. Relaxation in heterogeneous systems like tissue are complicated by exchange of magnetization amongst different proton pools. This presentation will begin with an introduction to the physical mechanisms of T1 relaxation relevant to MRI in vivo. We will describe several methods for characterizing T1 and consider the impact of magnetization transfer on these measurements. Examples from white matter brain tissue demonstrate that easily misinterpreted effects can be understood as consequences of exchange. |
| 15:30 | T1: Applications |
| Aviv Mezer | |
Quantitative T1 mapping provides a biophysical parametric measurement that is useful in the investigation and diagnosis of the human brain. T1 measurements display sensitivity to microstructural properties such as myelin, lipid, and protein composition, iron forms and content, and tissue organization. I will present T1 application for myelin mapping and disentangling the molecular composition of lipid and iron samples and identify region-specific molecular signatures across the brain. I will argue that the ability to disentangle molecular alterations from water-related changes opens the door to a more specific characterization of brain age-related and neurodegenerative disorders in-vivo. |
| 15:55 | T2/T2*: Principles & Methods |
| Mustapha Bouhrara | |
A myriad of physiological and biophysical changes in soft tissues can occur with aging and pathology due to inflammation, demyelination, iron aggregation, etc. These changes can be captured using various MRI modalities especially the transverse relaxation times (T2 and T2*). In this presentation, I will discuss the biophysical basis of these relaxations, provide a few examples of various or widely used preclinical and clinical techniques as well as their advantages and limitations, and finally details some applications of T2 and T2* mapping to probe tissue microstructure and iron content with a focus on brain tisue. |
| 16:20 | T2/T2*: Applications |
| Hyeong-Geol Shin | |
This educational presentation introduces how the microscopic tissue organization influences transverse relaxation properties (e.g., T2 and T2*) and how we inversely estimate the microstructural information from the MR signals. The relaxation mechanisms related to the microstructure and the mathematical model describing the effects are discussed. |
| 13:00 | Spatial Encoding in MRI |
| Andrada Ianus | |
This talk will cover the basics of spatial encoding in MRI.
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| 13:30 | Signal & Noise |
| Olaf Dietrich | |
The signal-to-noise ratio (SNR) in MRI:
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| 14:00 | RF Pulses |
| Zhiyong Zhang | |
The goal of the talk is educational for basis concepts of RF pulse design including the basic properties of RF pulses (the flip angle, duration, and amplitude) as well as the concepts to understand the theory and implementation of RF pulses using the small tip angle tip angle approximations. The talk covers topics such as spatial localization, SLR pulses, adiabatic pulses, multi-band pulses and spatial-spectral pulses. |
| 14:30 | Interactive Session |
| 15:00 | Break & Meet the Teachers |
| 15:30 | Design of Gradient-Echo Sequences |
| Rahel Heule | |
Signal generation in magnetic resonance imaging is driven by either of two fundamental mechanisms: spin echoes or gradient echoes. This lecture introduces the basic concepts and properties of gradient echo formation in comparison to spin-echo imaging. The influence of acquisition parameters on the produced contrast is described and typical artifacts are discussed. Special focus is on the design of rapid gradient-echo sequences based on the principle of steady-state free precession (SSFP), including three main classes: radiofrequency-spoiled gradient-echo, nonbalanced SSFP, and balanced SSFP imaging. |
| 16:00 | Forming Echoes with RF Pulses |
| Jakob Assländer | |
Any sequence of radio frequency (RF) pulse forms echoes, such as spin echoes or stimulated echoes. This lecture will cover the underlying principles of such echoes. I will discuss why and when echoes occur, provide an understanding of how “to generate, recognize, use or avoid them,” to use Juergen Hennig’s words. To this end, I will explain two helpful and mutually related tools to simulate echoes: Bloch simulations and the extended phase graph formalism. Last, but not least, I will give some practical examples of how echoes are used in routine MR imaging. |
| 16:30 | Magnetization Preparation: How to Generate Contrast |
| Martina Callaghan |
| 17:00 | Interactive Session |
| 7:45 | Neuronal Oscillations & Neurovascular Coupling |
| Pinar Özbay | |
We will cover the origins of neurovascular coupling, and discuss the relations between physiological variations and spatio-temporal brain dynamics across full sleep cycle. |
| 8:10 | The Effect of Diurnal & Nocturnal Changes on Neuron Oscillations |
| Laura Lewis |
| 8:35 | Circadian biology and stroke |
| Eng Lo | |
Emerging data suggest that circadian biology may significantly affect the mechanisms of susceptibility, injury, recovery, and the response to therapy in stroke. |
| 9:00 | Psychoradiologically Applications in Psychiatric Diseases |
| Qiyong Gong | |
The present talk will summarize the most recent psychoradiological findings in circadian rhythm disorders at risk and the related psychiatric disorders, and their implications for clinical management of the psychiatric patients. |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Oscillations of the Neurofluids |
| Noam Alperin | |
The discovery of the CSF occurred over several centuries, the effort to elucidate the origin of the CSF oscillations lasted several decades. The link between the CSF and cardiovascular oscillations was first observed in the 1940s owing to the synchronization between the blood and CSF oscillations. Regardless of numerous studies that measured the pulsatile CSF and blood pressures, the origin of the CSF oscillation remained elusive. Velocity imaging by MRI provided a new perspective into the CSF oscillations through measurements of volumetric flows, which obey conservation laws. This presentation describes origin and the roles of the CSF oscillations |
| 10:15 | Glymphatics & the Circadian Clock |
| TBD |
| 10:40 | Applications in Sleep Disorders |
| Nina Fultz | |
Substantial recent research has investigated how sleep dynamics interact with the glymphatic system. Many recent articles have built upon the relationship between sleep and glymphatic dynamics by examining their relevance to sleep disorders and diseases that have early sleep pathologies. However, the variability in pathologies have caused difficulties in understanding completely how these dynamics work in sleep disordered individuals. In this presentation, we will discuss the connection between sleep and the glymphatic system, the MR-based tools one can use to measure these systems in humans, and we will examine how these systems are related to sleep disorders and related pathologies. |
| 11:05 | Applications on Dementia |
| Leonardo Rivera-Rivera |
| 7:45 | Cardiac Anatomy & Tissue Characterization with CMR |
| Kate Hanneman | |
This presentation will review cardiac anatomy on CMR and will discuss key sequences and findings for myocardial tissue characterization. |
| 8:05 | Cardiac Function & Blood Flow with CMR |
| Elsie Nguyen | |
This review highlights the most common MR imaging sequences used for evaluation of ventricular function such as steady state free precession imaging and briefly reviews the role of strain imaging. Tips and tricks for image optimization for functional imaging will be highlighted as well as common pitfalls. Blood flow assessment with phase contrast imaging will be explained along with practical tips for image optimization, recognizing and minimizing artifacts such as aliasing and background correction techniques. |
| 8:25 | Live demos: Systems and Components |
| 8:45 | CMR in Ischemic Heart Disease |
| Chiara Bucciarelli-Ducci | |
CMR has a unique role is both acute and chronic ischemic heart disease for its ability to provided in vivo tissue characterisation. The talk will focus how the imaging biomarkers from cine imaging (regional wall motion abnormalities(, edema imaging (acute myocardial injury), first pass perfusion (myocardial ischemia), late enhancement imaging (myocardial and microvascular damage) can be used by the clinician to guide decision making and treatment. |
| 9:05 | CMR for Heart Failure & Hereditary Cardiomyopathies |
| Stefan Zimmerman | |
A review of clinical applications of CMR in management of patients with heart failure and hereditary cardiomyopathies |
| 9:25 | Live demos: Systems and Components |
| 9:45 | Break & Meet the Teachers |
| 10:05 | Clinical Thoracic MRA |
| Kimberly Kallianos | |
Computed tomography angiography (CTA) has been the test of choice for thoracic vascular imaging. The iodinated contrast required, however, increases the risk of renal dysfunction in patients with pre-existing renal failure, which is a common comorbidity in patients undergoing vascular imaging. Clinical thoracic MRA may be performed without contrast, with gadolinium-based contrast, and with ferumoxytol, and iron-based contrast agent. Each of these approaches has unique benefits and limitations particularly in the imaging of patients with renal failure. Clinical indications, benefits, and risks of each approach will be discussed in this talk. |
| 10:25 | Clinical Abdominal MRA |
| Robert Edelman | |
MR angiography (MRA) provides a radiation-free approach for evaluating the abdominal vessels. Time-resolved contrast-enhanced MRA shows flow patterns that are not well assessed by CTA. In patients with impaired renal function, ferumoxytol can be used as an off-label contrast agent with the benefit of a prolonged intravascular half-life and excellent delineation of the venous system. Non-contrast MRA techniques avoid the need for a gadolinium-based contrast agent, while dark blood imaging techniques can be used to evaluate the vessel wall. In this presentation, we will consider contrast-enhanced and non-contrast MRA techniques, and present various clinical examples of MRA in the abdomen. |
| 10:45 | Live demos: Systems and Components |
| 11:05 | Clinially Available Accelerated CMR Techniques |
| Katia Menacho |
| 11:25 | How to Incorporate Focused CMR Protocols in a Busy MRI Practice |
| Elizabeth Johnson | |
Several strategies exist to accommodate for increased access to cardiac MR in a busy practice. Our cardiovascular division worked closely with technologists and physicists to design, build and incorporate disease specific CMR protocols into our daily practice. I will discuss the design and benefits of our focused CMR protocols, talk about the challenges in making these changes, and the ongoing work we are doing to fully streamline our CMR practice. |
| 11:45 | Live demos: Systems and Components |
| 7:45 | Noncontrast Screening Using Diffusion-weighted MRI for Breast Cancer |
| Hee Shin | |
As there are growing interests in risk-based supplemental breast cancer screening and concerns about gadolinium deposition in the brain, diffusion-weighted MR imaging (DW MRI) has emerged as a promising modality for identifying mammographically occult malignancy. Current evidence suggests that DW MRI combined with nonenhanced T1- and T2-weighted sequences provides a higher sensitivity than mammography or mammography combined with ultrasound but lower sensitivity than DCE MRI. Advances in DW MRI acquisition, post-processing, and standardized interpretation have significantly improved DW MRI performance in cancer detection. In this lecture, the potential role of DW MRI as a screening modality will be provided. |
| 8:10 | Abbreviated MRI |
| Christiane Kuhl |
| 8:35 | How to Plan Conduct Screening Program |
| Elizabeth Morris |
| 9:00 | Integration of AI & MRI in Screening/Risk Prediction |
| Almir Bitencourt | |
The use of artificial intelligence (AI) in radiology is rapidly evolving, with many possible applications for different imaging modalities. Breast cancer screening is perhaps the best known and most researched use case. Despite mammography is probably the imaging modality with more data available for breast cancer screening, radiomics and AI have been applied to improve the assessment of breast magnetic resonance imaging (MRI) in different applications, including breast cancer risk prediction, lesion detection and classification. The aim of this presentation is to review the current knowledge and future applications of AI on MRI for breast cancer screening and risk prediction. |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Handling Uncertainty in Quantitative Biomarker Imaging: Challenges & Solutions |
| Angel Alberich-Bayarri | |
Uncertainty in the quantification of imaging biomarkers from MRI can be minimized by the control of different aspects of the quantification process, based on the principles of metrology science. Both technical and clinical validation are fundamental for the success of the biomarker. Technical validation includes the determination of the accuracy and precision of the measurement. Nevertheless, a biomarker can be not properly adopted in clinical routine if it is not clinically validated. For that, the inclusion of clinical endpoints such as the ones handled in oncology (overall survival, event free survival) is fundamental to demonstrate utility of quantitative imaging. |
| 10:15 | Strategies for Assessing Technical Performance of Single & Multiplexed QIBs |
| Alexander Guimaraes |
| 10:40 | Exploiting Quantitative Fat Imaging in the Body |
| Takeshi Yokoo |
| 11:05 | Radiomics: Addressing the Quantitative Challenges |
| Laure Fournier |
| 7:45 | MRI Applications in Neuromuscular Disorders |
| Benjamin Howe |
| 8:10 | MRI Neurography in Neuromuscular Disease |
| Shivani Ahlawat |
| 8:35 | Quantitative Muscle Imaging |
| Hermien Kan | |
Quantitative MR imaging is usually slower compared to MR conventional imaging, but has the advantage of being more objective, precise and sensitive to detect changes. In this talk I will highlight a number of quantitative MRI techniques that are commonly used in skeletal muscle, along with their accuracy, sensitivity, reproducibility, and relation to a biological property. Quantitative MR of muscles makes use of range of techniques and as pathology is rarely limited to a single feature, there is a strong added value in combining different MR measurements, where assessments are co-localized based on pathology. |
| 9:00 | Proton & Multinuclear Spectroscopy of Muscle |
| Linda Heskamp | |
This lecture introduces the basic principles of MR Spectroscopy at a basic level suitable for clinicians with a specific focus on skeletal muscle. Metabolites detectable with 1H MRS, 31P MRS, 13C MRS and 23NA MRS will be discussed together with the software and hardware requirements. |
| 9:25 | Break & Meet the Teachers |
| 9:50 | MRI of Body Composition |
| Danoob Dalili |
| 10:15 | Morphologic Imaging of the Myotendinous Unit |
| Jung-Ah Choi | |
In this presentation, the author will familiarize the audience with anatomy and structure of muscle with emphasis on morphologic MR imaging of normal muscle, as well as MRI of pathologic conditions of muscle, including trauma and non-traumatic lesions, including inflammatory myositis, infectious myositis, rhabdomyolysis, atrophy with fatty infiltrations due to congenital or denervation atrophy. After this talk, the audience should be able to diagnose different pathologies of muscle on morphologic MRI. |
| 10:40 | Exercise Physiology & Dynamic MRI |
| Benjamin Marty | |
Dynamic magnetic resonance spectroscopy (MRS) and imaging (MRI) techniques are perfectly suited to investigate the physiological adaptation of the skeletal muscle during exercise. The consumption and resynthesis of adenosine triphosphate (ATP), which is the principal high-energy phosphate molecule that enables muscle contraction can be precisely followed using dynamic 31P MRS. Oxygen delivery and extraction, which limit the rate of ATP resynthesis during aerobic exercise can be estimated from the Fick law, using perfusion MRI coupled with susceptometry and/or deoxy-myoglobin 1H MRS. All these valuable data can be recorded at once during the same exercise bout using multinuclear interleaved sequences. |
| 11:05 | Case Review with Discussion |
| Darryl Sneag |
| 7:45 | Real-World Solutions: Iron Quantification in Clinical Practice I |
| John Wood |
| 8:10 | Real-World Solutions: Iron Quantification in Clinical Practice II |
| Scott Reeder |
| 8:35 | Real-World Solutions: MR Elastography in Clinical Practice I |
| Andrew Trout |
| 9:00 | Real-World Solutions: MR Elastography in Clinical Practice II |
| Suraj Serai |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Real-World Solutions: DWI in Clinical Practice I |
| Ryan Brunsing |
| 10:15 | Real-World Solutions: DWI in Clinical Practice II |
| Ali Syed | |
Diffusion weighted imaging (DWI) has critical applications in many clinical contexts, and as its utility continues to increase, new techniques for improved image quality are coming to the clinic. This session will discuss best practices and strategies for taking new, exciting developments in DWI and applying them in a clinical setting. The presented framework highlights key points to consider when implementing new techniques in the workflow of a busy practice. |
| 10:40 | Real-World Solutions: Abbreviated MRI in Clinical Practice I |
| Jeong Hee Yoon | |
MRI has been the ultimate diagnostic modality for abdominal solid organs, however, relatively low accessibility of MRI due to its cost and scan time is an issue for its wide application and limit its use. Abbreviated MRI has gained a lot of attention to solve the aforementioned issue and broaden the indications of MRI in the future. However, it is not yet implemented in clinical practice due to some limitations. This presentation aims to share the early experience on abbreviated MRI in practice and discuss how abbreviated MRI may be moving forward to be successfully implemented in clinical practice. |
| 11:05 | Real-World Solutions: Abbreviated MRI in Clinical Practice II |
| Kristina Ringe |
| 7:45 | Basics of MRI Reconstruction: k-Space & Inverse Problems |
| Maria Engel | |
In this talk, we look at inverse problems in MR image reconstruction and how to tackle them. We start off with the spatial frequency concept (k-space), which is pivotal for acquisition and reconstruction. We look at different ways of traversing k-space in 2D and 3D and their pros and cons for various applications. We review hardware limitations and ways to account for different k-space trajectories at the image reconstruction stage. We will also investigate the handling of static and dynamic magnetic field inhomogeneities in image reconstruction. |
| 8:10 | Parallel Imaging & Simultaneous Multislice Reconstruction |
| Julia Velikina | |
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 limitations of parallel MRI such as noise amplification and sensitivity to calibration and their effect on achievable acceleration and image artifacts. We will also consider simultaneous multi-slice imaging and discuss its sampling and reconstruction strategies. We will finish with review of some clinical applications that can benefit from the use of parallel imaging. |
| 8:35 | Sparsity-Based Reconstruction |
| Li Feng | |
This talk will present an overview of compressed sensing and its application in rapid MRI. |
| 9:00 | Low-Rank & Structured Low-Rank Reconstruction Approaches |
| Bo Zhao |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Manifold-Based Reconstruction |
| Sajan Goud Lingala |
| 10:15 | Deep Learning-Based Reconstruction |
| Dosik Hwang | |
This talk explains the concept of the deep learning-based MR image reconstruction, from the basics to the up-to-date methods. It covers image-domain deep learning, k-space-domain deep learning, cross-domain deep learning, and direct mapping. The pros and cons of each approaches are explained. Parallel imaging and parameter mapping are also included in the line of deep learning-based MR image reconstruction. |
| 10:40 | Practical Reconstruction Implementation |
| Zhengguo Tan | |
In this talk, I will start with a brief introduction to an open-source image reconstruction framework. Based on this, I will then present how to implement state-of-the-art compressed sensing regularizers, e.g. total variation and locally low rank (LLR). In particular, I will demonstrate how LLR is solved in the case of multi-contrast acquisition. |
| 11:05 | Judgment of Reconstruction Quality |
| Tim Leiner |
| 7:45 | Brain MRI: The Clinician's View |
| Pek-Lan Khong |
| 8:00 | Brain MRI: The Physicist's View |
| Daniel Gallichan |
| 8:15 | Panel Discussion |
| 8:40 | Spine MRI: The Clinician's View |
| Frederik Barkhof | |
Spinal cord MRI is important for the diagnosis and understanding disease mechanisms in multiple sclerosis (MS). Multiple short-segment non-enhancing lesions are pathognomonic for MS and longitudinally extensive transverse myelitis typical of NMOSD. The recommended clinical protocol must include at least 2 of the following 4 sagittal sequences: (i) T2w SE with moderately long TE; (ii) proton-density (turbo/fast) SE; (iii) STIR; iv) PSIR. The single acquisition of a T2w sequence is not sufficient, due to its limited sensitivity in depicting signal abnormalities and a second sequence (PD, STIR, PSIR) is required to confirm the presence of lesions and exclude artefacts |
| 8:55 | Spinal Cord MRI: The Physicist's View |
| Virginie Callot | |
This presentation is intended to give a general overview of the most popular quantitative MR techniques used in the cord. Following a brief overview of the challenges encountered as compared to the brain, « classical » sequences such as DTI, MT and T1 relaxometry will be presented, followed by a few words about functional, metabolic and vascular techniques. Strengths, weakness, and opportunities, such as brought by ultra-high field, will be discussed as well. |
| 9:10 | Panel Discussion |
| 9:35 | Break & Meet the Teachers |
| 9:55 | Cardiac MRI: The Physician Scientist's View |
| David Sosnovik | |
Cardiovascular magnetic resonance (CMR) is playing an increasingly important role in clinical care and extremely promising techniques are being developed in the research community. However, a large gap in quality remains between scans obtained in controlled research settings and the routine imaging of patients with cardiac disease. New hardware, and acquisition and reconstruction techniques will need to be developed to narrow this gap. |
| 10:10 | Cardiac MRI: The Physicist's View |
| Jürgen Schneider | |
Cardiovascular Magnetic Resonance (CMR) is a clinically well-established medical imaging modality that can provide a comprehensive, multi-parametric assessment of the heart in patients. CMR, albeit technically challenging, can yield insights at different scales ranging from the whole heart down to cellular and molecular level in the heart muscle, thereby spanning several orders of magnitude in resolution. This presentation primarily focuses on strengths, weaknesses, and opportunities of CMR. Strengths and weaknesses will be discussed in technical considerations and routine applications, while opportunities will be exemplified in emerging CMR techniques. |
| 10:25 | Panel Discussion |
| 10:50 | Prostate MRI: The Clinician's View |
| Clare Tempany-Afdhal | |
This session will combine the expertise of a clinician and MR physicist using a SWOT approach to the challenges of MR imaging of Prostate cancer. Prostate MRI can avoid unnecessary biopsy using the PI-RADS assessment scores (all qualitative) suspicious lesions can be identified, scored, and targeted during biopsy. Current challenges include reliable quantitative metrics of cancer, uniformly high-quality exams. There are multiple new MR pulses sequences under investigation to enrich our current protocols. Several of these will lead to quantifiable metrics which can add further validation of mpMRI for detection, characterization and monitoring of men with suspected prostate cancer. |
| 11:05 | Prostate MRI: The Physicist's View |
| Eleftheria Panagiotaki | |
This part of the course will cover different quantitative MRI methods for prostate cancer characterisation. We will mainly focus on Diffusion-weighted MRI and T2-weighted MR methods. |
| 11:20 | Panel Discussion |
| 7:45 | Basic Principles of NMR |
| Hao Lei | |
This talk introduces the basic principles of nuclear magnetic resonance (NMR). It starts with explaining the interaction between nuclear momentum and static magnetic field, and how such interaction lead to alignment of nuclear spins and energy level degeneration. The principles underlying NMR signal excitation and reception are then discussed. This is followed by introduction of some basic concepts in NMR, such as Larmor frequency, chemical shift and relaxation. The presentation ends with some discussions on how NMR measurements can be used in practical applications to yield chemical/biological information of interest. |
| 8:10 | From in vitro, ex vivo and in situ NMR to MRS metabolomics imaging |
| Leo Cheng | |
NMR theory forms the base of MRI that are widely used in various fields with particular interests in medical clinics. While MRI observes only water molecules, NMR, or MRS, can measure vast amounts of molecules other than water. This lecture will walk the audience from the concept of magnetic moment through various aspects of NMR/MRS physics principles and practices to in vitro, ex vivo, and in situ NMR. Recognizing the under-used capability of MRS and with the opportunity to incorporate them into clinical MRI, MRS can contribute imaging by combining molecular evaluations and high resolution anatomic imaging through metabolomics imaging. |
| 8:35 | Fundamentals of MRS in vivo data acquisition |
| Caroline Rae | |
Fundamentals of MR spectroscopy in vivo. We deconstruct single voxel spectroscopy to see how alterations in acquisition methods and parameters can impact spectra, including an in depth dive into the PRESS sequence. |
| 9:00 | Increasing the Specificity : Physics of MT, CEST, paraCEST & APT |
| Seth Smith | |
This presentation is intended to provide an understanding of exchange-mediated contrasts commonly explored in MRI. Specifically we will focus on MT, CEST, and ParaCEST; what are the physics of the contrast mechanisms, what biochemical interactions give rise to the observed phenomena, how to exploit the contrasts with standard acquisition and analysis methods, as well as explore the sensitivity and specificity of each in tissue. Lastly, we will present some specific applications of each, such as MTR and qMT, APT-CEST. |
| 9:25 | Break & Meet the Teachers |
| 9:50 | Simulating Spectra |
| Jamie Near | |
The goal of this lecture is to describe how to perform MR spectroscopy simulations using the density matrix formalism. The following questions will be addressed: -What is a density matrix and how is it constructed? -What is a Hamiltonian operator and how is it constructed? -How does the density matrix evolve under the influence of Hamiltonian operators? -How is a simple spin-echo simulation pulses performed?-How are shaped RF waveforms simulated? -What are spatially-resolved simulations and how are they performed? -What is the projection method and how does it work? -What is coherence order filtering and how does it work? |
| 10:15 | MRS Data Processing |
| Brian Soher |
| 10:40 | Preclinical MRS: Advances, Challenges & Strategies |
| Cristina Cudalbu | |
Preclinical in vivo MRS has undergone an enormous evolution from the first unlocalized experiments to the robust technique which is today: advancements in localization, spectral resolution, water and outer volume suppression, minimization of the static B0 magnetic field variations, artifact suppression, spectral editing, number of detected metabolites, spectral fitting and quantification precision. SVS 1H MRS in nowadays widely used while MRSI, X-nuclei MRS and diffusion weighted MRS are more complex MRS techniques with several challenges. |
| 11:05 | Human MRS: Advances, Challenges & Strategies |
| Itamar Ronen | |
Educational lecture on proton and non-proton MRS in humans |
| 7:45 | Scanner Architecture from Front- to Back-End |
| Simone Angela Winkler | |
Magnetic Resonance Imaging (MRI) has emerged as one of the most powerful and informative diagnostic tools in all of modern medicine. The push towards higher field strength requires profound engineering expertise, applied to MR systems, more than ever. This course focuses on delivering the engineer’s view of an MR system as opposed to the more commonly discussed clinical applications and image processing techniques. The overall goal of this educational course is to describe general and UHF MRI engineering challenges to the novice reader and point out how these are overcome in realistic technological implementation. |
| 8:10 | Magnet Design: Low Field Technologies |
| Shaoying Huang | |
The magnet designs for low-field accessible MRI will be detailed. It includes research work and design tools in the literature and industrial developments in history. Discussions and future perspectives will be shared. |
| 8:35 | RF Receive Chain Overview |
| Adam Maunder |
| 9:00 | RF Arrays for Head & Body |
| Nikolai Avdievich | |
Improvement of SNR is a critical step in designing any MRI RF coil. Use of arrays instead of a single coil is a major technique for the SNR enhancement. Designing an Rx-array commonly includes a choice of the type of elements (e.g. loops, striplines, dipoles), number of elements, decoupling method, coverage. The most common element of Rx-arrays is a surface loop, which has been used for human Rx-array designs at lower (1.5T, 3T) and ultra-high field (UHF, >7T). The presentation overviews most important steps of designing RF arrays including an optimization of the individual elements, decoupling, detuning, interfacing, cable routing. |
| 9:25 | Break & Meet the Teachers |
| 9:50 | RF Transmit Chain: Amplification, Power Transfer, B1 Control and SAR |
| Natalia Gudino | |
In this lecture, I will review design principles, implementation, and control of the radiofrequency (RF) hardware that generates the excitation B1 field in MRI scanners of various B0 field strengths. |
| 10:15 | Parallel Transmit (pTx) & Safety |
| 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, while intending to mitigate SAR hotspots. 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. |
| 10:40 | Gradient Coil Design Considerations & Limitations Including PNS |
| Mathias Davids | |
Designing an MRI gradient coil is a multi-objective problem that involves a variety of design targets. Aside from the gradient's primary function (generation of a linear gradient field), various other design constraints need to be imposed in order to generate a technically feasible coil geometry. This includes geometric constraints (dimensions of the coil), coil inductance and efficiency, torque/force balancing, wire spacing, Ohmic heating, as well as the overall manufacturability. This talk will give an intuitive overview of state-of-the-art tools for designing MRI gradient coils, including novel designs with reduced interactions with the human body (reduced Peripheral Nerve Stimulation, PNS). |
| 11:05 | Shimming: Higher-Order Shims, Shim Arrays & Dynamic Shimming, Combined RF & Shim Coils |
| Ali Aghaeifar | |
Homogeneous static magnetic field (B0) is a prerequisite for many magnetic resonance imaging (MRI) applications. Scanners are equipped with a built-in spherical harmonic based shim setup to counteract B0 inhomogeneity. However, built-in shim setup might not be adequate for all applications, especially at UHF MRI where susceptibility induced B0 inhomogeneity is scaled with the strength of B0. Slice-wise shimming and multi-coil shim setup are some promising tactics that could significantly mitigate B0 inhomogeneity. This presentation will give an overview of the principle of SH-based, slice-wise, and multi-coil shimming and some details of each strategy will be discussed. |
| 12:30 | Advances in Imaging of Traumatic Brain Injury |
| Tiffany Bell | |
Traumatic brain injury, caused by an external blow to the head, is a major cause of disability worldwide. Brain imaging is crucial to understanding the pathophysiology behind mild traumatic brain injury. This lecture will present several examples of promising advancements in brain imaging, including imaging brain structure, blood flow and brain metabolites, that provide more extensive understanding of the effects of mild traumatic brain injury. |
| 12:55 | Imaging Recovery from Severe Traumatic Brain Injury |
| Brian Edlow | |
Multiple studies from laboratories around the world have now shown that 15-20% of patients with severe traumatic brain injury (TBI) who appear unresponsive on the bedside behavioral examination are "covertly consciousness", as evidenced by volitional modulation of brain activity on task-based functional MRI or EEG. In this talk, we will discuss emerging insights into covert consciousness that are shedding new light into mechanisms of recovery from severe TBI. We will focus on recently published guidelines that recommend the clinical implementation of these advanced techniques to improve the standard of care for patients with severe TBI. |
| 13:20 | Advances in Stroke Imaging |
| Peiying Liu | |
Recent studies have demonstrated the role of advanced MRI in the patient selection and management of acute stroke. It has also been demonstrated that using MRI as the first-line imaging technique can be fast, suitable, and useful to improve recanalization rates and patient outcomes. This presentation will review recent advances of the standard clinical MRI sequences including structural MRI, susceptibility weighted imaging (SWI), MR angiography (MRA), diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI), as well as new techniques such as MR Fingerprinting (MRF), Amide proton transfer (APT) MRI, intravoxel incoherent motion (IVIM) MRI, and Quantitative susceptibility mapping (QSM). |
| 13:45 | Predicting Functional Recovery After Stroke Using Advanced MRI |
| Ranliang Hu |
| 14:10 | Break & Meet the Teachers |
| 14:35 | How neuroimaging of pain pathways can decode chronic pain |
| Javeria Hashmi | |
Towards understanding the role of the brain in chronic pain aetiology, we investigate how threat predictions modulate pain perception through PAG circuitry. The central nervous system has an inbuilt capacity to modify pain intensity adaptively in relation to perceived threat (3). Processes in the brain that integrate noxious inputs with top-down threat signals play a key role in pain perception. These systems also have the capacity to bias the experience of pain away from the sensory evidence and towards expectations and beliefs. This talk discusses neurobiological pathways and mechanisms that are affected in chronic pain. |
| 15:00 | Pain modulation: perception and neural correlates |
| Susanne Becker | |
How we perceive pain varies strongly –not only between people, but also within a person. While peripheral and biological factors cause some of this variation, a large amount of this variation is mediated by central and psychological processes. One impressive example is placebo analgesia, with strong pain inhibition induced by expectations and learning. Psychological pain modulation is not just a response bias or an artefact. Corresponding changes in brain activation and functional networks have been found and often replicated. I will give an overview of brain mechanisms underlying the modulation of perceived pain and examine their assessment and application critically. |
| 15:25 | Imaging the Neural Correlates of Social Pain |
| Yazhuo Kong |
| 15:50 | Towards Multiple-Modal Imaging of Major Depressive Disorder: Integrating Structural, Functional & Metabolic Brain Mapping |
| Yao Li | |
Major depressive disorder (MDD) is a neuropsychiatric condition with high lifetime prevalence and suicide attempt rate. Developing useful biomarkers with diagnostic and prognostic value is of great importance for a better understanding of the pathophysiology as well as the treatment guidance of MDD. This lecture will briefly review the progresses in MR-based structural (MRI, Diffusion MRI), functional (BOLD-fMRI, ASL-fMRI), and metabolic imaging (MRS, MRSI) of the brain, which have provided significant insights into the pathophysiology of MDD in clinical settings. |
| 12:30 | Compressed Sensing & Low-Rank Models |
| Jennifer Steeden | |
Accelerated MRI techniques have transformed cardiovascular MR and have been investigated in many clinical applications during the last decade to speed up MRI scans. This talk introduces the key components of Compressed Sensing and Low-rank methods, and how these are implemented in MRI. Examples of clinical applications and current challenges of Compressed Sensing and Low-rank methods are discussed. |
| 13:00 | Data-Driven Image Reconstruction |
| Chen Qin | |
Machine Learning (ML) has shown great potential in improving the medical imaging workflow. Particularly, in recent years, there has been a significant growth in the use of ML algorithms, especially Deep Learning (DL), for medical image reconstruction. The use of DL-based image reconstruction provides promising opportunities to transform the way cardiovascular MRI is acquired and reconstructed. In this talk, we will introduce recent advances in DL-based reconstruction techniques for cardiac imaging, with emphasis on cardiac MRI reconstruction. We will mainly focus on supervised DL methods for the application and will also discuss about their current limitations, challenges and future opportunities. |
| 13:30 | Robustness of Deep Learning in Image Reconstruction |
| Vegard Antun | |
We all know that artificial intelligence (AI) can do marvelous things and that it is currently being incorporated into many industries. Yet, modern AI has an Achilles heel: It seems universally non-robust. That is, it can be unstable to tiny perturbations or generalize in unpredictable ways, both of which can lead to AI generated hallucinations. In this tutorial, we will investigate the many reasons for instabilities, unpredictable generalization and hallucinations in AI based image reconstruction. Furthermore, we will provide guidance on how to reduce the issue of non-robustness and untrustworthy outputs in AI based image reconstruction. |
| 14:00 | Motion Modelling & Analysis in Cardiac MRI |
| Stefano Buoso | |
The inference of local cardiac motion requires robust ways of analysing, integrating and processing patient data. Many models are available, both statistical and mechanistic, and they can be deployed to extract prognostic biomarkers from the data. The choice, however, usually falls on one or the other, and rarely both approaches are combined in a synergetic view. This talk will provide an overview on mechanistic models of cardiac motion and how these can be integrated with statistical models to overcome some of the limitations of current processing pipelines in medical images. |
| 12:30 | MR Angiography: The Ins & Outs |
| Giles Roditi |
| 12:55 | Flow: 2D, 4D & Beyond |
| Susanne Schnell | |
Phase-contrast MRI uses bipolar gradients to encode tissue or fluid motion into the MRI signal phase. If measured in 2D with 1-directional encoding this is termed 2D Phase-Contrast MRI. Extended to a time-resolved heart-or pulse rate triggered 3D sequence with 3-directional velocity encoding, this is termed 4D flow MRI. Error sources will be described throughout the course as well as data analysis and quantification approaches. Further extensions such as dual- and multi-venc, and 5D flow MRI will be described. Finally applications in the thorax, head, and abdomen will be introduced. |
| 13:20 | T1 & ECV Mapping |
| Vanessa Ferreira |
| 13:45 | T2, T2* & T1ρ Mapping |
| Graham Wright | |
MRI measures of signal decay without refocusing, with intermittent refocusing and with continuous refocusing reflected by time constants T2*, T2, and T1ρ can yield important clinical information about cardiac tissue damage and response to injury. Reduced T2* reflects localized susceptibility effects as seen in hemorrhage and iron overload. T2 can depict changes in blood oxygenation reflecting ischemia and changes in water mobility reflecting inflammation. T1ρ can highlight chemical and spin exchange effects, increasing contrast between healthy and infarcted myocardium. Recently, higher dimensional and multi-parameter imaging methods have been developed for improved differentiation of myocardial pathophysiologies. |
| 14:10 | Break & Meet the Teachers |
| 14:35 | Deep Learning for CMR Reconstruction and Super-Resolution |
| Guang Yang | |
Cardiovascular Magnetic Resonance (CMR) is a safe technique, which can provide non-invasive gold-standard assessment of cardiac structure and function in patients with cardiovascular disease. While standard CMR imaging is relatively robust, some CMR techniques are inherently less reliable and image quality can be reduced. Besides, for high-resolution or 3D imaging, the acquisition duration is long and image quality may be further compromised. Recently, deep learning based methods have gained performance dividends in medical image analysis. In this talk, I will introduce the basic ideas of deep learning and its development and applications in CMR reconstruction and super-resolution towards future perspectives. |
| 15:00 | Radiomics for CMR Image Analysis |
| Bettina Baeßler |
| 15:25 | Deep Learning for CMR Image Analysis |
| Avan Suinesiaputra | |
Deep learning has become an ubiquitous tool for image analysis, including CMR. The method is capable to learn specific human tasks from a large amount of data, provided sufficient computational power. Image segmentation and recognition are the two most used applications, but there are more creative solutions. Deep learning can learn to reconstruct MRI, leading to a faster MR acquisition. It can generate realistic contrast-enhanced MRI without using the actual contrast agent. In this course, we are going to learn how deep learning can be applied to solve CMR image analysis to derive cardiac function and anatomy of the heart. |
| 15:50 | Translating AI to the Clinic |
| Steffen Petersen | |
Research and development into artificial intelligence (AI) algorithms for the classification, analysis and prediction of disease using medical data carries with it the expectation of transformative benefits to healthcare. The increasing activity in this field is, in part, driven by the improved accessibility of machine learning frameworks and skilled practitioners but translation to clinical use is restrained by data access, regulatory, ethical and privacy concerns. This talk highlights the key milestones in this path from concept to AI prototype to clinical decision-making tool. |
| 12:30 | Cost-Effectiveness in Screening of Pediatric & Adult Cancers in Li-Fraumeni Syndrome |
| Maria Isabel Achatz | |
Li-Fraumeni Syndrome (LFS) predisposes to multiple pediatric and early-onset adult cancers. Its underlying cause is a germline pathogenic variant in TP53 gene. In Brazil, there is a higher prevalence of LFS due to the founder mutation, p.R337H. However, a large portion of the population does not have access to effective screening that enables early diagnosis and improves overall survival. The main strategy in LFS screening is an annual Rapid Whole-Body MRI at diagnosis, from birth. We assessed cost-effectiveness of annual screening for patients diagnosed with LFS in Brazil. |
| 12:50 | Role of Whole-Body MRI in Pediatric Cancer Predisposition Syndromes |
| Martin Kyncl | |
With the advances in genetic testing, more children are being diagnosed with cancer predisposition syndromes. Patients with these syndromes are at increased risk of developing malignancies. Whole-body MRI is a powerful and radiation-free imaging modality for the detection of pathologies in multiple organs with wide anatomical coverage. There is no established consensus for a standardized pediatric MRI protocol that provides high diagnostic accuracy while achieving time efficiency. We provide a reflection on the protocols suitable for MRI imaging in children with cancer predisposition syndromes at present, the necessary anatomical coverage, the types of sequences, the incorporation of dedicated imaging protocols. |
| 13:10 | Whole-Body MRI Screening in Australian Patients with Li-Fraumeni Syndrome |
| David Thomas |
| 13:30 | Pediatric WBMRI in CPS: Getting Started |
| Lisa States | |
This talk will review the evolving development of whole-body imaging protocols for pediatric patients with a known germline mutation. Harmonization of protocols and performance of clinical studies of focused on syndromes with cancer predisposition remain the most important initiatives in caring for this population. The challenges of tumor surveillance will also be addressed. The benefit of whole-body MRI in the pediatric population is clear with the most important factors being lack of ionizing radiation and early cancer detection potentially leading to aggressive treatment and greater chance for a cure. |
| 14:00 | Pediatric WBMRI in CPS: Case-Based Learning |
| Jürgen Schäfer | |
Approximately 10% of children and adolescents with cancer have an underlying CPS. Patients with CPS have an increased lifetime risk for a specific tumor. In addition to indications for imaging in cases of clinical suspicion, planned screenings to exclude clinical occult tumor manifestation are essential. Due to the increased sensitivity in CPS to ionizing radiation, MRI is favored. WB-MRI employs fluid-sensitive fat-suppressed 2D sequences as a baseline but must be supplemented with high-quality organ examination in cases of suspicious findings or high-risk constellations. With the latest techniques, such as compressed sensing, the very time-consuming measurements can be considerably shortened. |
| 14:30 | Break & Meet the Teachers |
| 14:50 | The Truth Is in the Numbers: Epidemiology, Health Equity & Access in the Pediatric-Onset IBD Pandemic |
| Almuthe Hauer | |
Annual incidences of (Pediatric) Inflammatory bowel diseases (P-IBDs) - traditionally "diseases of westernised nations" - increase steadily in newly industrialised countries, but (P)IBD management is known to be substantially impaired in low and middle-income countries without structured health-care and (P)IBD experts. Current guidelines on PIBD management focus on high income countries, and include imaging as mandatory diagnostics. However, the choice of modality depends on local structures: MRE, preferred for CD diagnosis, is mostly inaccessible, and Small bowel follow through problematic (high radiation exposure). In this context, intestinal ultrasound is thus the primary imaging modality, considering good performance, wide availability and low costs. |
| 15:10 | MR Enterography Interpretation in IBD & Alternate Diagnoses |
| Sudha Anupindi | |
MR enterography is the main imaging modality for the assessment of inflammatory bowel disease in children. In this session we will discuss a methodical approach to interpretation of these studies. Although this approach is often a qualitative assessment of intramural and extramural pathology, a quantitative assessment can be used. Reporting MRE studies using a standard template utilizing current nomenclature to provide key findings of active inflammation, associated complications and determination of response to treatment is essential. MRE can be utilized to assess other bowel pathologies such as polyps, infectious colitis and graft-versus -host disease. |
| 15:30 | Role of MR Imaging of Perianal Involvement in Pediatric & Adult Crohn Disease |
| Anuradha Shenoy-Bhangle | |
Pelvic MRI is the standard of care in imaging perianal fistulae in patients with Crohn disease. Understanding the MR imaging protocol including scan planes and sequences used, is essential for accurate disease mapping. Knowledge of MR anatomy of the anal sphincter; types and classification of fistulae including complications and their imaging appearance at different stages of healing is of utmost importance for optimal patient care. This presentation will focus on the role of MRI in the diagnosis, various MR-classification systems used to describe perianal fistulizing disease, treatment response and prognostication of perianal Crohn disease in pediatric and adult patients. |
| 15:50 | Hepatobiliary Disease in Pediatric IBD |
| Govind Chavhan | |
Hepatobiliary diseases are seen in approximately 18% of children with inflammatory bowel disease (IBD). Common manifestations include primary sclerosing cholangitis (PSC) and related autoimmune conditions, non-alcoholic fatty liver disease, cholelithiasis, liver abscess, portal vein thrombosis, reactivation of infections like viral hepatitis and drug related liver injury. PSC is the most common manifestation in children with IBD and seen in 8% of children with IBD. PSC in children with IBD is detected early, hence imaging features on MRCP are often subtle, mainly characterized by diffuse mild distention of entire biliary tree, periportal thickening/edema, and portal lymphadenopathy. |
| 16:10 | Quantitative Imaging & Imaging-Based Indices in IBD |
| Jordi Rimola | |
The management of Crohn’s disease (CD) has entered a new era in which it is imperative to incorporate objective data and symptoms to plan the best therapeutic approach for each patient. Magnetic resonance (MR) imaging provides a comprehensive insight into the disease process, and its high accuracy for detecting inflammation make it essential for diagnosis and management. Growing evidence indicates that MR provides an accurate information that enables monitorization of CD. In this lecture we will review the current MR biomarkers and indexes for assessing CD activity and damage. |
| 12:30 | Artifacts in Neuroradiology |
| Chaitra Badve |
| 12:55 | Artifacts in Body Radiology: Breast MRI |
| Katja Pinker-Domenig | |
This presentation will provide an overview of technical as well as patient factors that cause artifacts in clinical breast MRI and explain mitigation strategies. Pitfalls on breast MRI will briefly be discussed. The aim of talk is to facilitate an understanding of the causes of artifacts and their possible solutions and to enable practitioners of breast MRI to meet the challenges of high spatial and resolution breast imaging at high field strengths for best possible patient care. |
| 13:20 | Bulk Motion Artifacts & Correction Methods |
| Jesse Hamilton |
| 13:45 | Physiological Motion Artifacts & Correction Methods |
| Peng Hu |
| 14:10 | Break & Meet the Teachers |
| 14:35 | Artifacts at High Field |
| S. Johanna Vannesjo |
| 15:00 | Artifacts at Low Field |
| Andrew Webb | |
This talk will discuss artifacts and mitigation strategies specifically for low-field and point-of-care MRI systems. Whereas many image artifacts such as fat/water shifts and those arising from medical implants and air/tissue boundaries are predictably much smaller or negligible at low-field, different types of artifacts can potentially occur due to time-dependent magnetic field drift, concomitant gradients, partial volume effects and flow. Gradient strengths are much less than conventional clinical systems, and with magnet inhomogeneities on the orders of hundreds of ppm this means that joint corrections for B0 and gradient non-linearity, together with magnet drift, are required. |
| 15:25 | Artifacts in Spiral Imaging & Correction Methods |
| Craig Meyer | |
This educational talk will cover the sources of spiral image artifacts and methods for correcting for these artifacts. Spiral imaging is a promising technique with short scan times, high SNR efficiency, and robustness to flow and motion. A number of technical advances have enabled high-quality spiral scans on modern imaging hardware. However, spiral scans have different artifacts than Cartesian scans. Sources of spiral artifacts include aliasing of objects outside the field of view, eddy currents, and main field inhomogeneity. Eddy current effects can be eliminated through a one-time calibration and image reconstruction techniques can remove image blur due to inhomogeneity. |
| 15:50 | Acquisition & Postprocessing Methods for Diffusion MRI Distortion Correction |
| Hua Guo |
| 12:30 | Everyday Sequences: How & Why They Are in the Protocol |
| C. C. Tchoyoson Lim | |
Clinical MRI protocols comprise individual MR pulse sequences put together to help radiologists answer a clinical question. Which sequences to select necessitates trade-offs between highest resolution spatial or function biomarkers and safety, reliability, speed. Standard Brain MRI protocols include T1, T2, flow, diffusion sequences: there is a high bar for replacing or adding to current protocols. The need for reproducibility & QIBA best practice to enhance the value of MRI will be discussed. |
| 12:50 | DWI & DTI: Where, Why & How It Is & Is Not Used |
| Kei Yamada | |
Diffusion-weighted imaging (DWI)and diffusion-tensor imaging (DTI) has become one of the essential research/clinical tools in analyzing the brain in both normal and pathological states. In this presentation, I will first cover the brief history of DWI, and then explain how this tool has become an essential part of our daily practice. |
| 13:10 | DENSE: A Technique in Translation |
| Xiaoying Cai | |
Myocardial strain imaging is an important approach for quantifying cardiac function. Cine DENSE is a dedicated MR technique for strain imaging. By encoding tissue displacement into the phase of the imaging signal, cine DENSE allow rapid and comprehensive quantification of myocardial mechanics. This talk gives an overview of about cine DENSE imaging from data acquisition to reproducibility and its translation. |
| 13:30 | Relaxometry: Where, Why & How It Is & Is Not Used |
| Nikola Stikov | |
The promise of relaxometry is making MR measurements that reproduce across sites. The qMRI community has not delivered on this promise, and clinicians are losing patience. The only way forward is through standardization, data sharing, and opening up the black boxes that generate the numbers. More at: http://qmrlab.org/relaxometry |
| 13:50 | Break & Meet the Teachers |
| 14:10 | Parallel Imaging: How & Why It Moved So Quickly to Product |
| Rita Nunes | |
The aim of this talk is to introduce the basic concepts of Parallel Imaging and to discuss what made it such a successful technique. Parallel imaging took advantage of the availability of multichannel coil arrays to accelerate exams. It has had a major impact in MRI, quickly becoming available on standard scanners and being used in every day routine clinical practice. |
| 14:30 | Spirals: History, Opportunities, & What It Will Take to Get It into Routine Clinical MRI |
| James Pipe | |
Spiral MRI was invented by Ann and Cho in 1986, and was greatly enabled by the Stanford MRSL in the early 1990's. This method continues to evolve, and beyond just being a "fast" MRI method, it has many unique favorable properties, including low gradient moments, very low minimum TE, incoherent underdamping artifacts, and the capacity for high SNR efficiency. Despite all of this, Spiral MRI is not widely used clinically. This talk will outline some of the remaining obstacles to clinical adoption, with high confidence that they can be overcome. |
| 14:50 | CS & AI: Will They Tread the Same Path to Translation? |
| R. Marc Lebel | |
This course covers aspects related to translation and commercialization of new MR techniques. We will identify and explain factors paving the perilous road to commercial success with a specific focus on AI applications. The aim is to provide insight into the common reasons why novel applications falter and to provide design principles that improve chances of successful translation from bench to bedside. |
| 15:10 | What Do I Need to Get My New Technique into a Product? |
| Maggie Fung | |
Just invented the next breakthrough in MRI technology? That’s only part of the equation. This presentation will cover what it takes to develop and productize new MRI technology, starting from identifying the unmet needs, innovation, down-selection and clinical validation, to commercialization and regulatory aspects. We will walk through some successful examples and summarize the key ingredients to a successful product. |
| 15:30 | From Product to Routine Clinical Practice |
| Christopher Filippi | |
This talk discusses implementation science in MRI, which promotes the uptake of research and other evidence-based imaging studies into routine, clinical practice. Barriers to adaptation of emerging imaging technology include variability across scanners and sites such as magnetic field strengths, protocols, MR vendor and model types. Linearity, bias, and precision of measurements are needed for consistent, patient-specific management according to Radiology Society of North America’s Quantitative Imaging Biomarker Alliance (QIBA). (1-3) Quantitative imaging markers are needed for precision health, but determination of “ground truth” and lack of a clear road map limit impact currently. |
| 15:50 | Live demos: Systems and Components |
| 12:30 | MRS Beyond 7T |
| Jannie Wijnen | |
This educational lecture covers the advantages and pitfalls of Magnetic Resonance Spectroscopy at high magnetic field. Learning goals:
|
| 12:55 | Ultra-High Resolution MRSI |
| Eva Niess | |
MR spectroscopic imaging enables mapping of spatial distribution of multiple low-concentration metabolites simultaneously. The detection of pathology-induced, altered brain metabolism has great potential in clinical research or diagnosis. High- and ultra-high-field MR systems opened new possibilities for MRSI acquisition with substantially improved spatial resolution, which historically hampered the clinical utility of MRSI. This lecture overviews fast encoding techniques, with which ultra-high-resolution 2D-/3D-MRSI has been achieved so far, as well as their first applications in basic research and clinical studies. |
| 13:20 | Is Editing Ready for the Clinics? |
| Georg Oeltzschner | |
Spectral-edited MRS can improve the resolution of coupled signals from low-concentration metabolites, for example GABA, glutathione, lactate, and 2-hydroxyglutarate. These compounds are involved in multiple physiological processes, and their improved detection allows for exciting clinical applications in neurology, psychiatry, and oncology. However, spectral editing is also very sensitive to experimental instabilities and requires great attention to detail during acquisition, data processing, and spectral modeling. This lecture provides a brief introduction to J-difference editing, presents the most promising clinical applications, and discusses the roadblocks on the way to everyday use of spectral edited MRS in a clinical context. |
| 13:45 | Potential of fMRS |
| Assaf Tal |
| 14:10 | Break & Meet the Teachers |
| 15:25 | Highlighting the Diagnostic Value of MRS in Clinical Practice |
| Otto Rapalino | |
MR spectroscopy is an important diagnostic MR imaging modality with an exceptional diagnostic value, but its clinical value is often underestimated. This presentation will present an overview of the current clinical applications, potential pitfalls, and multiple examples illustrating the significant clinical value of MR spectroscopy. |
| 14:35 | Body MRS I |
| Alexander Lin | |
Body spectroscopy comprises the majority of the use of MR spectroscopy in clinical trials. The goal of this presentation is to provide an overview of the various uses of both proton (1H) and phosphorous (31P) MRS in the liver, muscle, heart, breast, and kidney. For each region, examples of clinical uses will be shown and the primary MRS biomarkers will be described. Technical challenges for each region of the body will also be described. While more advanced methodologies need to be employed, the clinical value of body MRS is clearly evident. |
| 15:00 | Body MRS-II: MR Spectroscopic Imaging (MRSI) of Prostate Cancer |
| Naranamangalam Jagannathan | |
Early diagnosis of prostate cancer is essential and MRI and MR spectroscopic imaging (MRSI) together with scoring by Prostate Imaging Reporting and Data System is used for diagnosis. Both 1.5- and 3-Tesla are widely used. MEGA pulse for simultaneous suppression of lipid and water is incorporated into PRESS localization sequence along with outer volume suppression for obtaining MRSI. It gives spectra from voxels covering whole prostate enabling assessment of tissue heterogeneity. MRSI is used for detection, localization, staging, risk stratification and surveillance and direct targeting biopsies. This talk would cover the MRSI methodology along with the challenges and the solutions. |
| 15:50 | How Can AI Help for MRS? |
| Esin Ozturk-Isik | |
Magnetic resonance spectroscopic imaging (MRS/I) has benefited from the advances in the machine learning field. This talk will summarize recent MRSI studies that have used machine learning for data acquisition and reconstruction, preprocessing, super-resolution, quality control, denoising, and spectral quantification, in addition to molecular subtyping of the brain tumors. |
| 12:30 | The Magnet & Shims |
| Thomas O'Reilly |
| 12:55 | The Gradient Coils |
| Sebastian Littin |
| 13:20 | The RF Coil |
| Matthew Wilcox |
| 13:45 | The RF & Gradient Amplifiers |
| Mike Twieg | |
Most low-field MRI projects make use of off-the-shelf gradient and RF power amplifiers, but such options are often poor fits for low-field applications, especially if cost is a concern. Thus there is increasing interest in designs aimed towards low-field systems. This talk covers existing designs and projects, and discusses some of the tradeoffs between them. A new open source RFPA design, The Easy RFPA, is also presented. |
| 14:10 | Break & Meet the Teachers |
| 14:35 | OCRA Tabletop MRI System |
| Marcus Prier | |
MRI machines are difficult to access for research and training purposes. The open-source Tabletop MRI developed by the Otto-von-Guericke University employees and students based on the idea of the Martinos Tabletop MRI and the OCRA project is inexpensive to purchase and allows teaching on state of the art MRI hard- and software. This benchtop device allows for the measurement of test-tube-sized samples with the physics of a clinical MRI machine. |
| 15:00 | The Phantom |
| Kalina Jordanova | |
Evaluating the performance of MRI systems validates MR measurements. A phantom is an object used to ensure that MR systems and methods operate correctly. Phantom design requires identifying target measurements to be evaluated, and designing an object that can validate those measurements. Tradeoffs are made in phantom design to target specific properties or to accommodate different hardware configurations. Thus, physical properties of phantoms can be vastly different depending on the system and application being evaluated. This talk discusses methods to design home-built phantoms that tackle many challenges in phantom design and highlights the most important considerations for open-source designs. |
| 15:25 | Demo: Putting It All Together |
| Kristen Zarcone |
| 15:50 | Live demos: Systems and Components |
| 12:30 | Why Go to Super-High Fields (SHF) & What Are the Challenges? |
| Mark Bird | |
The Iseult magnet has reached the limit of human MRI with traditional NbTi superconductor. Higher field will require Nb3Sn that has been used for preclinical MRI and large scale fusion magnets. Meeting all constraints of a clinical system at 14 T or higher presents new challenges. REBCO has enabled high-resolution NMR to jump from 23.5 T to 28.2 T and shows potential for NMR at 35 T and human MRI at 20 T. Using resistive materials, NMR is being done at up to 35.2 T dc with ~1 ppm resolution while 55 T is possible for short pulses. |
| 12:55 | Superconducting Materials for Super-High Field NMR and MRI |
| Hideaki Maeda | |
This lecture discusses superconducting materials and related technological challenges, the potential for super-high field NMR and prospects for super-high field MRI. It firstly describes the NMR magnet's development and potentials. Secondly, the prospect and challenges in creating a super-high field MRI magnet will be presented. |
| 13:20 | Acquisition Techniques for 1H |
| Lucio Frydman |
| 13:45 | X-Nuclei Acquisition |
| Jeanine Prompers | |
Metabolic perturbations are a key driving factor in many diseases and measuring metabolic responses is therefore promising to provide early treatment efficacy markers. MRS measurements of X-nuclei, such as 31P, 13C and 2H, yield unique information on in vivo metabolism. However, X-nuclei have a low intrinsic sensitivity and commonly used surface coils for X-nuclei have a low penetration depth. Ultra/super-high field greatly enhances the sensitivity for X-nuclei and, together with innovative coil designs, boosts the potential of X-nuclei metabolic imaging. In this educational, we highlight major applications, and discuss recent methodological advancements and challenges of X-nuclei acquisition at ultra/super-high field. |
| 14:10 | Break & Meet the Teachers |
| 14:35 | GHz NMR |
| Dinu Iuga | |
The UK High Field Solid State NMR National Research Facility provides access to 20 T (850 MHz) and 23 T (1 GHz) spectrometers and probes capable of spinning samples at the Magic Angle at very high spinning frequencies (100 kHz). Under very fast MAS, the 1H spin echo life time becomes considerably longer opening up the possibility to investigate 1H-1H proximities or to detect other atoms in vicinity to 1H. Enhanced sensitivity and enhanced resolution provided by the high magnetic fields allows for structural insights not possible at lower magnetic fields, like understanding cell wall architecture. |
| 15:00 | Beyond 40T: Pulsed NMR |
| Anna Orlova |
| 15:25 | Promising In-Vivo Applications for 1H & X-Nuclei |
| Samuel Grant |
| 15:50 | SHF Safety: What Do We Know So Far? |
| Andrea Grant | |
MR safety above 7T includes both subject safety and practical considerations for researchers. In this talk I will discuss what we know about exposure to static fields above 9.4T, including human exposure at 10.5T and pre-clinical work at 16.4T. I will also discuss 6 other areas of note for safety considerations, including validation of RF coil models, acoustic noise measurements, B0 projectile risks, implants at 7T and above, occupational exposure, and practical considerations. |
| 16:30 | Welcome |
| 16:45 | Lauterbur Lecture: Building Clinical Value in Cancer Care with Magnetic Resonance Imaging |
8:00
|
Hot Topic Debate on the future of Gadolinium as a contrast agent | |
| Manuel Taso1, Nivedita Agarwal2 | ||
| 1, 2 | ||
| 8:00 | 4D Flow in Cerebrovascular Disease: How Do We Do It? |
| Susanne Schnell |
| 8:30 | 4D Flow in Cerebrovascular Disease: Why Do We Do It? |
| Jeremy Collins |
| 8:00 | Cardiovascular MRI at B0 < 1T: Is Less More? |
| Rizwan Ahmad |
| 8:30 | Cardiovascular MRI at Ultra-High Field Strengths: Opportunities & Challenges |
| Laura Schreiber |
| 8:00 | Embrace the Motility: Visualizing Motion in the Abdomen |
| Catharina de Jonge |
| 8:30 | Reject the Motility: Mitigating Motion in the Abdomen |
| Diego Hernando |
| 8:00 | Musculoskeletal MRI in the Presence of Metal: Technical Considerations |
| Jan Fritz |
| 8:30 | Musculoskeletal MRI in the Presence of Metal: Clinical Considerations |
| Matthew Frick |
| 8:00 | Commercialization Story: Spinning Off a Company |
| Christoph Barmet |
| 8:30 | Basics of IP |
| Frank Prato |
| 8:00 | Picking the Right Tool for the Right Job: Body MRI Sequences |
| Ali Syed |
| 8:30 | Picking the Right Tool for the Right Job: Cardiovascular MRI Analysis Techniques |
| Albert Hsiao |
| 8:00 | Cardiovascular + Lung at High Field |
| Jeanette Schulz-Menger |
| 8:30 | Cardiovascular + Lung at Low Field |
| Rajiv Ramasawmy |
| 8:00 | Hardware Approaches for Motion Tracking |
| Adam van Niekerk |
| 8:30 | Acquisition Techniques for Motion Correction |
| Onur Afacan |
9:15
|
Cardio-Oncology: CMR Technical Solutions for Childhood & Young Adult Follow-Up | |
| Vlad G Zaha1 | ||
1University of Texas Southwestern Medical Center, United States |
9:45
|
Cardiomyopathy CMR Multiparametric & Multidimensional Solutions from Childhood to Adulthood | |
| Vimal Raj1 | ||
1Narayana Hrudayalaya, India |
10:15
|
Technology for Efficient Analysis (AI) in Congenital Heart Disease | |
| Sandy Engelhardt1 | ||
1Heidelberg University Hospital, Germany |
||
In this talk, I will give an overview of important aspects of Cardiac MRI processing by the help of advanced deep learning techniques. Our main clinical focus are Tetralogy of Fallot and Duchenne muscular dystrophy cases. When analyzing heterogenous CMR from multiple sites, automatic interpatient motion comparison requires spatial and temporal alignment of the CMR sequences. I show how to align the volume sequences by self-supervised AI methods, which do not require any expert labels. Cardiac phase-to-phase registration is realized by deformable registration models, that automatically derive a displacement field for calculating cardiac strain values. |
10:45
|
Technology for Clinical Antenatal CMR | |
| Mari Nieves Nieves Velasco Forte1 | ||
1Bristol Royal Hospital, United Kingdom |
9:15
|
Cardiovascular Regulation in Humans: Does the Cortical Autonomic Network “Speak” or “Listen” During Cardiovascular Arousal? | |
| Kevin Shoemaker1 | ||
1The University of Western Ontario, ON, Canada |
9:35
|
Neural Circuits of Interoception: Decoding the Cognitive, Affective, and Behavioural Brain-Body Connections in Mental Health | |
| Sahib Khalsa | ||
9:55
|
Imaging Gut Function in Health & Disease | |
| TBD |
10:15
|
Imaging Approaches for Mapping Heart-Brain Connections | |
| Claudine Gauthier1 | ||
1Concordia University, QC, Canada |
10:35
|
Live demos: Systems and Components |
| 1 | 9:15
|
Self-gated 3D Stack-of-Spirals Ultra-Short Echo-Time Pulmonary imaging at 0.55T |
| Ahsan Javed1, Rajiv Ramasawmy1, Kendall O’Brien1, Christine Mancini1, Pan Su2, Waqas Majeed2, Thomas Benkert3, Himanshu Bhat2, Anthony F. Suffredini4, Ashkan Malayeri5, and Adrienne E Campbell-Washburn1 | ||
1Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Siemens Medical Solutions USA Inc., Malvern, PA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 5Department of Radiology and Imaging Sciences, Clinical Center, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, United States |
||
High-performance 0.55T MRI is promising for lung imaging due to the reduced susceptibility artifacts. However, high-resolution lung imaging is still challenged by low proton density and SNR. 3D spiral acquisitions can be used to improve SNR-efficiency, but these readouts are susceptible to trajectory errors and blurring from concomitant-fields, which are amplified at lower field strengths. Here we present a self-gated, ultra-short echo-time, stack-of-spirals acquisition which leverages rapid inline corrections for trajectory imperfections, trajectory dependent navigator signal fluctuations, and concomitant-fields to enable robust 1.75mm isotropic lung imaging at 0.55T. We also demonstrate our technique in healthy-volunteers, patients with lung-nodules and COVID-19. |
| 2 | 9:35
|
Motion Corrected Silent ZTE Neuroimaging |
| Emil Ljungberg1,2, Tobias C. Wood1, Ana Beatriz Solana3, Steven C.R. Williams1, Gareth J. Barker1, and Florian Wiesinger1,3 | ||
1Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom, 2Department of Medical Radiation Physics, Lund University, Lund, Sweden, 3GE Healthcare, Munich, Germany |
||
We present a new method called MERLIN for motion corrected silent neuroimaging using zero echo time (ZTE) MRI. Self-navigation is achieved with an interleaved 3D spiral phyllotaxis trajectory to produce image navigators. Retrospective motion correction is then applied to the collected raw data. The acoustic noise of MELIN was less than 4 dBA above ambient levels. A range of different head motion paradigms were evaluated (rotation and nodding), showing greatly improved image quality after motion correction in all cases. |
| 3 | 9:55
|
External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI |
| Sai Abitha Srinivas1,2, Stephen F Cauley3,4, Jason P Stockmann3,4, Charlotte R Sappo1,2, Christopher E Vaughn1,2, Lawrence Wald3,4,5, William Grissom1,2,6,7, and Clarissa Cooley3,4 | ||
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Harvard Medical School, Boston, MA, United States, 4Dept. of Radiology, Massachusetts General Hospital, Athinoula A Martinos Center for Biomedical Imaging, Boston, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 6Department of Electrical Engineering, Vanderbilt University, Nashville, TN, United States, 7Department of Radiology, Vanderbilt University, Nashville, TN, United States |
||
Point of care MRI requires operation outside of an MR shielded room where electromagnetic interference can degrade image quality. To address this, we demonstrate a self-calibrated generalized dynamic model to retrospectively remove time-varying external interference. The method uses data acquired from multiple Electromagnetic Interference (EMI) detectors simultaneous with the primary MR coil. We test the approach both in a controlled EMI setting on an 80mT Halbach scanner and an uncontrolled real-world EMI setting on a 47.5mT permanent magnet open MRI system. |
| 4 | 10:15
|
Amide proton transfer-weighted MRI with multiple models DWI facilitates preoperative risk stratification of early stage endometrial carcinoma |
| Nan Meng1,2, Ting Fang1,2, Pengyang Feng3, Zhun Huang3, Jing Sun4, Xuejia Wang5, Jie Shang6, Kaiyu Wang7, Dongming Han5, and Meiyun Wang1,2 | ||
1Department of Medical Imaging, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China, 3Department of Medical Imaging, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 4Department of Pediatrics, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China, 5Department of MR, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China, 6Department of Pathology, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China, 7MR Research China, GE Healthcare, Beijing, China |
||
Intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) can fully reflect the information of water molecular diffusion, microcirculation perfusion, and tissue heterogeneity. Amide proton transfer-weighted imaging (APTWI) has unique advantages in displaying mobile proteins and polypeptides. Our results showed that IVIM, DKI, and APTWI can estimate the risk stratification of early-stage (FIGO ≤ I) endometrial carcinoma (EC), and the combination of D, MK, and MTRasym (3.5 ppm) may be an effective imaging marker for identifying low-risk and non-low-risk early-stage EC. |
| 5 | 10:35
|
Diagnostic Accuracy of Spiral Whole-Heart Quantitative Adenosine Stress Cardiovascular Magnetic Resonance with Motion Compensated L1-SPIRIT |
| Jonathan A. Pan1, Austin A. Robinson2, Patricia Rodriguez Lozano1, Yang Yang3, Stephen McHugh4, Eric M. Holland5, Craig H. Meyer6,7, Angela M. Taylor1, Christopher M. Kramer1,7, and Michael Salerno8 | ||
1Cardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA, United States, 2Division of Cardiovascular Diseases, Division of Radiology, Scripps Clinic, La Jolla, CA, United States, 3Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Internal Medicine, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States, 5Division of Cardiology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 6Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 7Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA, United States, 8Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA, United States |
||
Variable density spiral (VDS) pulse sequences with motion compensated compressed sensing reconstruction allow for whole-heart quantitative assessment of myocardial perfusion but have not yet been clinically validated. In this study, we showed that whole-heart VDS stress perfusion has good diagnostic accuracy and ischemic burden evaluation. No significant difference was seen between visual and quantitative diagnostic performance and ischemic burden measurements. |
| 6 | 10:55
|
Pseudo-Enhancement in Intracranial Aneurysms on Black-Blood MRI: Effects of Flow Rate, Spatial Resolution, and Additional Flow Suppression. |
| Mariya S. Pravdivtseva1, Franziska Gaidzik2, Philipp Berg2, Carson Hoffman3, Leonardo A. Rivera-Rivera3, Rafael Medero4, Lindsay Bodart3, Alejandro Roldan-Alzate4, Michael A. Speidel3, Kevin M. Johnson3, Oliver Wieben3, Olav Jansen5, Jan-Bernd Hövener1, and Naomi Larsen5 | ||
1Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, 2Laboratory of Fluid Dynamics and Technical Flows, Forschungs campus STIMULATE, University of Magdeburg, Magdeburg, Germany, 3Department of Medical Physics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 4Department of Mechanical Engineering and Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 5Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel, Germany |
||
An intracranial aneurysm is a life-threatening disease. Vessel-wall enhancement on black-blood MRI was associated with inflammation and proposed as a marker for higher aneurysm rupture risk. However, slow blood flow can mimic wall enhancement. Here, we studied the effects of flow rates, spatial resolution, and motion-sensitized driven equilibrium (MSDE) on black-blood MRI using printed aneurysm models. A hyperintense signal was observed in the models and co-localized with a slow flow. MSDE and higher flow rates reduced the hyperintensities. Slow-flow phenomena contribute substantially to aneurysm enhancement, vary with MRI parameters, and should be considered in rupture assessment. |
9:15
|
Physics of MR Safety: An Overview | |
| Penny Gowland | ||
| University of Nottingham, United Kingdom | ||
9:45
|
Safety Controls & Management of a Pediatric MRI Unit | |
| Susan Sotardi | ||
| Children's Hospital of Philadelphia | ||
10:15
|
Evaluating the Risks of Scanning Children With Implants or Devices in Situ: Physics Considerations | |
| David Carmichael | ||
| King's College London, United Kingdom | ||
10:45
|
Evaluating the Risks of Scanning Children with Implants or Devices in Situ: Clinical Considerations | |
| Mai-Lan Ho | ||
| Nationwide Children's Hospital | ||
| 7 | 9:27
|
Defining Normative Cerebral Hemodynamics in Cognitively Healthy Older Adults with 4D Flow MRI |
| Grant S Roberts1, Anthony Peret2, Leonardo Rivera-Rivera1,3, Karly A Cody3, Howard A Rowley2, Oliver Wieben1,2, Sterling C Johnson3, Kevin M Johnson1,2, and Laura B Eisenmenger2 | ||
1Dept of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Dept of Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Dept of Medicine, University of Wisconsin - Madison, Madison, WI, United States |
||
It has been shown that vascular disease is strongly associated with Alzheimer’s disease (AD). It is thus important to establish normative cerebrovascular hemodynamics in aging populations. In this study, we comprehensively assess macrovascular hemodynamics using 4D flow MRI to obtain flow rates and pulsatility indices in 110 cognitively healthy, older adults and correlate these measures with age, sex, atherosclerotic cardiovascular disease (ASCVD) risk scores, and APOE genotypes. We found a (1) negative correlation between flow vs. age and flow vs. ASCVD, (2) a positive correlation between pulsatility vs. age and pulsatility vs. ASCVD, and (3) no correlations with APOE genotypes. |
| 8 | 9:39
|
Wall shear stress and velocity pulsatility in the parent artery of an unruptured intracranial aneurysm - a 7T 4D flow MRI study. |
| Rick J. van Tuijl1, Ynte M. Ruigrok2, Kimberley M. Timmins1, Birgitta K Velthuis1, Pim van Ooij1, Jaco J.M. Zwanenburg1, and Irene C. van der Schaaf1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology, UMC Utrecht, Utrecht, Netherlands |
||
The influence of maximum wall shear stress (WSSMAX) and velocity pulsatility (vPI) are extensively investigated in aortic aneurysms, but its influence along the Circle of Willis (CoW) in patients with unruptured intracranial aneurysms (UIA) is unknown. Thirteen patients with an UIA were scanned at 7T-MRI using 4D phase-contrast MRI, comparing hemodynamic parameters between the parent artery of the UIA and the corresponding contralateral artery. The parent vessel of the UIA showed significantly higher WSSMAX, blood-flow and velocity, and lower vPI compared to the unaffected contralateral side. This study supports a hemodynamic role in the aetiology of aneurysm formation. |
| 9
|
9:51
|
Simultaneous lumen and vessel wall imaging with iT2Prep-BOOST for an efficient comprehensive assessment of aortic disease |
| Camila Munoz1, Anastasia Fotaki1, Reza Hajhosseiny1, 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 |
||
Bright- and black-blood imaging are key contrasts for the assessment of lumen and vessel wall integrity in aortic MRI. These contrasts are usually acquired separately, resulting in long and inefficient examinations. Here we extend a previously introduced motion-compensated interleaved acquisition (iT2Prep-BOOST) to produce high-quality co-registered 3D bright- and black-blood images from a short predictable scan of ~8min. The proposed iT2Prep-BOOST approach resulted in bright-blood images with improved contrast compared to conventional bSFFP images, and black-blood images with increased volumetric coverage and resolution compared to conventional HASTE images, showing promise for a comprehensive assessment of aortic disease from a single scan. |
| 10 | 10:03
|
Sex-Differences in Intracranial Plaque Burden in Hypertensive Patients with Acute Ischemic Stroke: A Vessel Wall MR Imaging Study |
| Jae W. Song1, Jiayu Xiao2, Steven Y Cen2, Xiao Liu3, Fang Wu4, Konrad Schlick5, Qi Yang3, Shlee S Song5, and Zhaoyang Fan2 | ||
1University of Pennsylvania, Philadelphia, PA, United States, 2University of Southern California, Los Angeles, CA, United States, 3Chaoyang Hospital, Beijing, China, 4Xuanwu Hospital, Beijing, China, 5Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Hypertension is associated with intracranial atherosclerosis (ICAS) and is a leading cause of acute ischemic stroke (AIS). Given sex-differences in the severity of hypertension, we hypothesized sex-differences in ICAS burden among hypertensive patients with AIS. Results show males have significantly higher adjusted total plaque burdens than females. Subgroup analyses show treated hypertensive males with AIS have higher total proximal and bifurcation plaques than treated females. Untreated hypertensive females have significantly higher total proximal and bifurcation plaques compared to untreated males. The results suggest attention to differential hypertension management by sex may be warranted to reduce ICAS burden and AIS risk. |
| 11 | 10:15
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Regional diffusion imaging changes related to obesity, after adjusting for other risk factors: the UK Biobank study |
| Karolina Wartolowska1 and Alastair JS Webb1 | ||
1University of Oxford, Oxford, United Kingdom |
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Small vessel disease is a common cause of white matter damage in older people. It is strongly associated with age, hypertension, diabetes, and obesity. We have investigated the associations between body mass index (BMI) and diffusion changes (adjusted for other risk factors) in data from UK Biobank. BMI was more strongly related to diffusion changes in inferior brain regions, depending on whether the white matter tracts were within the anterior or posterior circulation. Obesity affects white matter integrity, beyond the effect of cardiovascular risk factors. |
| 12 | 10:27
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Temporal correlation of functional connectivity with cerebral blood flow and T2 relaxation time in the monkey brain following ischemic stroke |
| Chun-Xia Li1, Frank Tong2, Doty Kempf1, Leonard Howell1, and Xiaodong Zhang1 | ||
1Emory University, Atlanta, GA, United States, 2Department of Radiology, Emory University, Atlanta, GA, United States |
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Somatosensory deficits are seen in most stroke patients and can improve during recovery from stroke as reported previously. However, the underlining mechanism of the recovery remains poorly understood. The nonhuman primate (NHP) model of stroke has demonstrated similar functional connectivity evolution as seen in stroke patients and the secondary somatosensory cortex (S2) in NHPs is recognized as a direct extrapolation of somatosensory cortex in human. In the present study, the progressive function alteration of S2 and its relationship with the cerebral blood flow (CBF) and T2 changes in the monkey brain during acute stroke were examined and evaluated. |
| 13 | 10:39
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How vascular properties affect the BOLD contrast across cortical depth. |
| Wouter Schellekens1, Alex Bhogal1, Emiel Roefs1, Mario Báez-Yáñez1, Jeroen Siero1, and Natalia Petridou1 | ||
1UMC Utrecht, Utrecht, Netherlands |
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In the current study, we quantify vascular properties in relation to laminar BOLD fMRI signals for differently sized vascular compartments across cortical depth. Using hypercapnic and hyperoxic breathing conditions, while measuring from macro- and micro-vascular compartments, we estimate effects of dilation capacity, theoretical maximum signal intensity, and relative change in cerebral blood volume on laminar BOLD contrasts. We show that enlarged signals for larger pial veins are mainly caused by their capacity for dilation. BOLD signal differences between macro- and micro-vascular compartments are not likely caused by differences in theoretical maximum signal intensity, or relative changes in cerebral blood volume. |
| 14
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Pitch: 9:15 Poster: 9:17 Plasma 1
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Real-time myocardial landmark-tracking for MRI-guided cardiac radio-ablation using Gaussian Processes |
| Niek R.F. Huttinga1, Osman Akdag1, Martin Fast1, Joost Verhoeff1, Alessandro Sbrizzi1, and Stefano Mandija1 | ||
1Department of Radiotherapy, Computational Imaging Group for MR therapy & Diagnostics, University Medical Center Utrecht, Utrecht, Netherlands |
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Accurate tracking of lesions within or near the heart presents a unique challenge due to cardiorespiratory motion during stereotactic radiotherapy. Mitigating this motion is essential to limit the risk of radiation-induced complications. Here, the feasibility of real-time prospective myocardial landmark-tracking with Gaussian Processes from few k-space readouts is demonstrated on the 1.5T Elekta Unity MR-linac. Retrospective and prospective phantom and in-vivo experiments were conducted in 2D, and preliminary in-silico experiments were done to demonstrate the feasibility in 3D. Results indicate high accuracy, and thereby great potential for real-time 3D myocardial target tracking for cardiac radio-ablation. |
| 15 | Pitch: 9:17 Poster: 9:19 Plasma 2
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Heartbeat-resolved cardiac CINE imaging via motion corrected reconstructions |
| Gastao da Cruz1, René M. Botnar1, and Claudia Prieto1 | ||
1King's College London, London, United Kingdom |
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Conventional cardiac CINE imaging acquires segmented data over multiple heartbeats to satisfy sampling requirements. Recently, cardiac CINE reconstructions from a single heartbeat have been achieved using motion corrected reconstructions. This approach allows single heartbeat CINE and therefore can image the unique dynamics that occur in each heartbeat. Experiments in healthy subjects demonstrate that single heartbeat CINE is feasible and can detect heartbeat to heartbeat variation; the dynamics of individual heartbeats differ and cannot be detected with conventional CINE performed over multiple heartbeats. Single heartbeat CINE shows promise to characterize arrhythmias and other heart conditions where heartrate variability occurs. |
| 16 | Pitch: 9:19 Poster: 9:21 Plasma 3
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A disentangled representation trained for joint reconstruction and segmentation of radially undersampled cardiac MRI |
| Tobias Wech1, Julius Frederik Heidenreich1, Thorsten Alexander Bley1, and Bettina Baeßler1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany |
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The network we propose in this work (xSDNet) jointly reconstructs and segments cardiac functional MR images which were sampled below the Nyquist rate. The model is based on disentangled representation learning and factorizes images into spatial factors and a modality vector. The achieved image quality and the fidelity of the delivered segmentation masks promise a considerable acceleration of both acquisition and data processing. |
| 17 | Pitch: 9:21 Poster: 9:23 Plasma 4
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Tensor-valued Encoding in the Human Heart In vivo |
| Irvin Teh1, David Shelley2, Ana-Maria Poenar1, Erica Dall'Armellina1, Sven Plein1, Jürgen E. Schneider1, and Filip Szczepankiewicz3 | ||
1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 2Leeds Teaching Hospitals Trust, Leeds, United Kingdom, 3Clinical Sciences, Lund University, Lund, Sweden |
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Tensor-valued encoding holds great promise in enhancing specificity in myocardial characterisation relative to diffusion tensor imaging (DTI). However, its application in the heart is challenging due to motion and limited SNR. In this work, we employed optimized diffusion encoding waveforms with up to 2nd order motion compensation and compensation for concomitant gradient effects to demonstrate the first in vivo application of q-space trajectory imaging (QTI) in the human heart. Baseline myocardial measurements of microscopic fractional anisotropy, as well as isotropic and anisotropic mean kurtosis are reported for the first time in the heart. |
| 18 | Pitch: 9:23 Poster: 9:25 Plasma 5
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Fetal cardiac 4D imaging from multi-planar balanced SSFP MRI |
| Sharon Portnoy1, Joshua F.P. van Amerom2, Amanda Hope3, Datta Singh Goolaub3, Liqun Sun2, Mike Seed2,4, and Christopher K. Macgowan1,5 | ||
1Translational Medicine, Hospital for Sick Children, Toronto, ON, Canada, 2Cardiology, Hospital for Sick Children, Toronto, ON, Canada, 3Hospital for Sick Children, Toronto, ON, Canada, 4Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada, 5Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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This work explores the feasibility of 4D fetal whole-heart image reconstruction from high resolution 2D multiplanar radial bSSFP acquisitions. High quality 4D reconstructions (1 mm isotropic spatial resolution, ~20 ms temporal resolution) are demonstrated in 3 congenital heart disease cases with distinct cardiac abnormalities. These dynamic, highly detailed visualizations of the fetal heart facilitate prenatal CHD diagnosis and planning for delivery and surgical intervention. |
| 19 | Pitch: 9:25 Poster: 9:27 Plasma 6
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Single-breathhold multiband cine DENSE MRI using novel phase modulation and a self-calibrated slice-low-rank reconstruction |
| Changyu Sun1, Yu Wang1, and Frederick H. Epstein1,2 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology, University of Virginia, Charlottesville, VA, United States |
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Multiband (MB) excitation of spiral cine DENSE MRI has the potential to provide three-slice coverage in single breathhold with 2D displacement encoding. To acquire three slices in one breathhold of 14 heartbeats, we develop MB3+ phase modulation, and use golden-angle rotation, outer volume suppression and variable flip angle. We extend our recent Cartesian slice-L+S method to develop a non-Cartesian slice-low-rank reconstruction model. DENSE data with MB=3 were acquired in 4 volunteers. The MB3+ DENSE method shows fewer artifacts than CAIPIRINHA and Hadamard encoding phase modulations. The slice-low-rank method with MB+ significantly improves slice separation providing fewer artifacts and signal decay. |
| 20 | Pitch: 9:27 Poster: 9:29 Plasma 7
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Free-running isotropic whole-heart T2 mapping with ECG-free Pilot Tone navigation |
| Simone Rumac1, Christopher W. Roy1, Jérôme Yerly1, Mariana B. L. Falcao1, Aurélien Bustin1,2,3, Mario Bacher1,4, Peter Speier4, Matthias Stuber1,5, and Ruud B. van Heeswijk1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2IHU LIRYC, Electrophysiology and Heart Modeling Institute, INSERM U1045, Centre de recherche Cardio-Thoracique de Bordeaux, Université de Bordeaux, Bordeaux, France, 3Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 4Siemens Healthcare GmbH, Erlangen, Germany, 5CIBM Center for BioMedical Imaging, Lausanne, Switzerland, Lausanne, Switzerland |
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The most commonly employed T2 mapping techniques are 2D and make use of ECG-triggering. This may be a limitation in patients with variable heart rate and complex three-dimensional conditions. To address these limitations, we here propose an isotropic free-running 3D T2 mapping technique that avoids ECG triggering by using Pilot Tone navigation. In three healthy volunteers, our technique produced accurate isotropic T2 maps when compared to 2D T2 prepared bSSFP (T2=41.1±4.8ms vs. 44.9±3.3ms, respectively, p=0.1), and cardiac motion was successfully resolved. |
| 21 | Pitch: 9:29 Poster: 9:31 Plasma 8
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Free-breathing High-resolution Spiral Real-time Cardiac Cine Imaging at 1.5 T with DEep learning-based Spiral Image REconstruction (DESIRE) |
| Junyu Wang1, Ruixi Zhou1,2, Xitong Wang1, Marina Awad1, and Michael Salerno1,3,4,5 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China, 3Medicine, University of Virginia, Charlottesville, VA, United States, 4Radiology, University of Virginia, Charlottesville, VA, United States, 5Medicine, Stanford University, Stanford, CA, United States |
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Cardiac magnetic resonance (CMR) real-time cine, which does not require breath-holding or ECG gating, is clinically useful particularly for patients with impaired breath-hold capacity and/or arrhythmias. Spiral acquisitions, which provide high acquisition efficiency and insensitivity to motion artifacts, can require a long reconstruction time particularly for compressed-sensing or other iterative reconstruction techniques. As such they cannot provide immediate feedback to the imager. Here, we sought to develop high-resolution real-time cine imaging at 1.5 T using fast spiral acquisitions and deep learning-based rapid imaging reconstruction for both bSSFP and GRE imaging, to make high-quality and online reconstruction for cine imaging feasible. |
| 22 | Pitch: 9:31 Poster: 9:33 Plasma 9
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Non-ECG-triggered, free-breathing simultaneous T1, T2, T2*, and fat-fraction quantification in the myocardium with MR Multitasking |
| Tianle Cao1,2, Nan Wang3, Alan C. Kwan4, Hsu-Lei Lee1, Xianglun Mao1, Yibin Xie1, Pei Han1,2, Hui Han1, Anthony G. Christodoulou1,2, and Debiao Li1,2 | ||
1Cedars Sinai Medical Center, Los Angeles, CA, United States, 2University of California, Los Angeles, Los Angeles, CA, United States, 3Radiology Department, Stanford University, Stanford, CA, United States, 4Department of Imaging and Cardiology, Cedars Sinai Medical Center, Los Angeles, CA, United States |
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Myocardium tissue characterization with multi-parametric mapping has gained increased clinical interest. Conventional methods require multiple breath-holding, ECG-triggered scans, which may result in potential image misregistration and patient fatigue. In this work, a free-breathing, non-ECG-triggered approach for simultaneous myocardial T1/T2/T2*/FF (fat-fraction) mapping is presented. Quantitative measurements from the proposed technique agreed with those from single-parameter references. |
| 23
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Pitch: 9:33 Poster: 9:35 Plasma 10
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Metabolite-Cycled Echo-Planar Spectroscopic Imaging of the Human Heart |
| Sophie M. Peereboom1 and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland |
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Spectroscopic imaging could provide insights into regional cardiac triglyceride variations, but scan times are relatively long. In this work metabolite-cycled echo-planar spectroscopic imaging with motion-adapted gating and weighted acquisition is proposed to assess triglyceride-to-water ratios in different regions of the human heart. Results are compared to metabolite-cycled EPSI with conventional acquisition and to single voxel measurements in the interventricular septum. It is shown that scan time can be reduced by more than half to less than 10 minutes as compared to conventional acquisition, while keeping the quality of triglyceride fitting constant. |
| 24 | Pitch: 9:35 Poster: 9:37 Plasma 11
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Free-Breathing Cardiac Cine MRI with Compressed Sensing Real-Time Imaging and Respiratory Motion Correction: Initial Pediatric Experience |
| Jianing Pang1, Pedro Itriago Leon2, Xiaoming Bi3, Gary McNeal1, Christoph Forman4, Christianne Leidecker1, Maria M Pereyra5, and Prakash M Masand5 | ||
1Siemens Medical Solutions USA Inc., Chicago, IL, United States, 2Siemens Medical Solutions USA Inc., Houston, TX, United States, 3Siemens Medical Solutions USA Inc., Los Angeles, CA, United States, 4Siemens Healthcare, Erlangen, Germany, 5Texas Children's Hospital, Houston, TX, United States |
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Cardiac cine MRI plays an important role in evaluating cardiac function. The conventional technique, 2D segmented acquisition with retrospective electrocardiogram gating, requires breath-holding and therefore is challenging for many types of patients such as young children. In this work, we report our initial experience of a recently developed free-breathing cardiac cine MRI technique on pediatric patients undergoing routine CMR. Our results showed that the proposed technique, based on compressed sensing real-time imaging and respiratory motion correction, produced comparable quantitative LV measurements and image quality to the reference breath-hold technique in a wide range of patient sizes and ages. |
| 25 | Pitch: 9:37 Poster: 9:39 Plasma 12
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Online FIRE Reconstruction of Cardiac MRF T1, T2 and ECV maps with Neural Network Dictionary Generation and Low-Rank Subspace Reconstruction |
| Alexander Fyrdahl1, Nicole Seiberlich1, and Jesse Hamilton1 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States |
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The ability to reconstruct research images online may facilitate clinical translation and dissemination of new methods. Online implementations of cardiac MRF have been described previously, although they required long reconstruction times due to the need to perform online Bloch equation simulations. In this work, an efficient online 2D cardiac MRF reconstruction pipeline is introduced, capable of displaying myocardial tissue property maps in less than a minute. |
| 26 | 9:15
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Multi-Center, Multi-Vendor Calibration and Validation of Liver Iron Quantification using R2*-MRI at 1.5T and 3T |
| Diego Hernando1, Ruiyang Zhao1, Qing Yuan2, Mounes Aliyari Ghasabeh3, Stefan Ruschke4, Xinran Miao1, Dimitrios C. Karampinos4, Lu Mao1, David T. Harris1, Ryan J. Mattison1, Michael R. Jeng5, Ivan Pedrosa2, Ihab R. Kamel3, Shreyas Vasanawala5, Takeshi Yokoo2, and Scott B. Reeder1 | ||
1University of Wisconsin-Madison, Madison, WI, United States, 2University of Texas Southwestern Medical Center, Dallas, TX, United States, 3The Johns Hopkins University, Baltimore, MD, United States, 4Technical University of Munich, Munich, Germany, 5Stanford University, Palo Alto, CA, United States |
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We report the final results of an NIH funded study of MRI-based quantification of liver iron. R2* MRI enables quantification of liver iron concentration (LIC), but the cross-vendor differences of R2*-based LIC estimation remain unknown. Therefore, we evaluated the performance of R2*-based LIC via a single-breath-hold, confounder-corrected R2*-MRI at both 1.5T and 3T, through a multi-center, multi-vendor study. We confirmed a linear relationship between R2* and LIC, with highly similar calibrations across centers and vendors. Calibrations for 1.5T and 3T were generated. The data generated in this study provide the necessary multi-center calibrations for broad dissemination of R2*-based LIC quantification. |
| 27
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9:27
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Simultaneous gauging of liver fibrosis and inflammation using 3D single breath-hold Intenso MRE with the gravitational transducer. |
| Omar Isam Darwish1,2,3, Radhouene Neji1,3, Sami Jeljeli1, Nader S Metwalli4, Jenna Feeley4, Yaron Rotman4, Rebecca J Brown4, Marc Ghany4, David E Kleiner5, Daniel Staeb6, Peter Speier7, Ralph Sinkus1,2, and Ahmed M Gharib4 | ||
1King's College London, London, United Kingdom, 2INSERM U1148, LVTS, University Paris Diderot, Paris, France, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, United States, 5National Cancer Institute, Bethesda, MD, United States, 6MR Research Collaborations, Siemens Healthcare Limited, Melbourne, Australia, 7MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Successful deployment of 3D liver MRE in the clinical assessment of fibrosis and inflammation requires a single breath-hold sequence to avoid geometric misalignment between different breath-holds and a phase-stable and efficient vibration for adequate wave penetration. We show initial data of Intenso MRE estimating the shear wave speed (Cs [m/s]) and the loss modulus (G’’ [kPa]). Both Cs and G’’ reflect a dependency on Ishak fibrosis and inflammation scores, respectively, in patients with chronic liver disease. In addition, we compare the magnitude of the shear modulus (|G*|) measured with Intenso and to the commonly utilized SE-EPI in such patients. |
| 28
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9:39
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Integrated high-order B0 shimming for multiparametric quantitative liver imagingat 3T using a UNIfied Coil (UNIC) |
| Nan Wang1, Fardad M. Serry2, Michael Ocasio2, Yibin Xie2, Yuheng Huang2, Xinqi Li2, Pei Han2, Tianle Cao2, Sen Ma2, Fei Han3, Matthew Minton2, Yubin Cai2, Yujie Shan2, Xiaoming Bi3, Anthony G. Christodoulou2, Hsin-Jung Yang2, Debiao Li2, and Hui Han2 | ||
1Stanford University, Stanford, CA, United States, 2Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Siemens Medical Solutions, Los Angeles, CA, United States |
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Liver MRI shows promise for rich morphologic and physiologic information. B0 inhomogeneity causes off-resonance spread at the liver-lung interfaces, degrading image quality and quantification accuracy for DWI, T1, and T2*/R2*. A novel high-order shim coil (UNIC) was built, minimizing the decoupling between the two overlapped shim and RF arrays, allowing the free design of shim loop topology in proximity of the target organ. Improved shimming from UNIC is demonstrated with increased FOV in liver imaging, showing significantly reduced distortion in liver DWI, increased image quality score of MOLLI T1 map, and reduced B0-offset-induced ADC, R2*, and B0 standard deviations. |
| 29 | 9:51
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Free-breathing liver fat quantification with combined multi-echo Dixon and 3D radial stack-of-stars in children and adults at 3T and 1.5T |
| Shuo ZHANG1,2, Teresa Nolte2, Masami Yoneyama3, Sven Nebelung2, Christiane Kuhl2, Alexandra Barabasch2, and Jochen Herrmann4 | ||
1Philips GmbH Market DACH, Hamburg, Germany, 2Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany, 3Philips Japan, Tokyo, Japan, 4Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Section of Pediatric Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany |
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Multi-echo gradient-echo Dixon based on the chemical shift method is currently the standard for non-invasive in vivo quantification of the liver fat but requires breath-holding. In young children or sick patients this is often challenging or not feasible. Despite recent attempts using different free-breathing approaches to mitigate patient motions, these are not widely available or routinely used. In this work we employ the multi-echo Dixon sequence with 3D pseudo-golden angle radial stack-of-stars readout for free-breathing liver fat assessment and report our initial results in children and adults at 3T and 1.5T with phantom validation and comparison to the standard method. |
| 30
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10:03
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Confounder-Corrected T1 mapping in the Liver through Simultaneous Estimation of T1, PDFF, R2* and B1 |
| Nathan Tibbitts Roberts1,2, Daiki Tamada, PhD1, Yavuz Muslu1,3, Diego Hernando, PhD1,3,4,5, and Scott B Reeder, MD, PhD1,3,4,6,7 | ||
1Radiology, University of Wisconsin - Madison, Madison, WI, United States, 2Electrical Engineering, 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, 5Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States, 6Medicine, University of Wisconsin - Madison, Madison, WI, United States, 7Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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T1 is emerging as a quantitative MR biomarker of liver fibrosis, the most important histological change predictive of progressing chronic liver disease. 3D spoiled gradient echo (SGRE)-based T1 mapping is preferable in the abdomen for its short acquisition time, volumetric coverage, and robustness to motion. However, SGRE-based T1 mapping is confounded by tissue fat and B1 inhomogeneity. In this work we present a novel SGRE-based T1 mapping method that corrects for both fat and B1 inhomogeneity. Phantom experiments show excellent agreement with reference T1 values (slope=1.01, R2=1.00) and minimal bias (~5±23ms). Early results from 5 healthy volunteers are promising. |
| 31 | 10:15
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In vivo measurement of bile metabolite concentrations at 3T by 1H STEAM MRS – breathing triggered navigation vs breath-hold acquisition. |
| Ivica Just1,2, Michael Leutner2, Stefan Wampl3, Radka Klepochová2, Siegfried Trattnig1,4,5, Alexandra Kautzky-Willer2, and Martin Krššák2 | ||
1High-Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria, 3High-Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 4CD laboratory for Clinical Molecular MR imaging (MOLIMA), Vienna, Austria, 5Institute for Clinical Molecular MRI in the Musculoskeletal System, Karl Landsteiner Society, St. Pölten, Austria |
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Detection of metabolites from human gallbladder poses some challenges due to its size and position. We compared breath-hold and respiratory triggered acquisition by 1H SVS STEAM sequence on patients in supine position at 3T. 14 peaks of bile components were detected using both acquisition setups. Quantification of metabolite concentrations, corrected with measured T2app relaxation times, showed results within the range of previously published data. STEAM sequence proved to be feasible for measurement of bile components at 3T in vivo, providing sufficient spectral quality for metabolite quantification in supine position with comparable results in both breath-hold and PACE navigated acquisition. |
| 32 | 10:27
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Spatial Scaling of Respiratory-Triggered Liver Diffusion Weighted Imaging |
| Johannes K. J. Raspe1,2, Anh T. Van1, Felix Harder1, Sean McTavish1, Johannes Peeters3, Kilian Weiss4, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Department of Physics, Technical University of Munich, Garching, Germany, 3Philips Healthcare, Eindhoven, Netherlands, 4Philips GmbH Market DACH, Hamburg, Germany |
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Physiological motion induces signal loss in diffusion-weighted imaging of the liver even when respiratory triggering is employed. Cardiac motion mostly affects the left liver lobe resulting in an inhomogeneous signal appearance and overestimation of the apparent diffusion coefficient (ADC). Spatial scaling is an algorithm that handles the intrinsic weighting of signal by rejecting bad acquisitions and voxels with subsequent calculation of a spatially dependent scaling factor for the final averaging. The present work shows that by adding such a spatial scaling postprocessing step, liver signal homogeneity can be increased, and overestimation of the ADC can be reduced. |
| 33
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10:39
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Intraprocedural MRI-based dosimetry during transarterial radioembolization with holmium-166 microspheres: a pilot study |
| Joey Roosen1, Lovisa E. L. Westlund Gotby1, Mark J. Arntz1, Jurgen J. Fütterer1, Marcel J. R. Janssen1, Meike W. M. van Wijk1, Christiaan G. Overduin1, and J. Frank W. Nijsen1 | ||
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands |
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Transarterial radioembolization (TARE) is a treatment for liver tumors based on injection of radioactive microspheres in the hepatic arteries under angiography guidance. Conventionally, there is no feedback on the dose distribution during treatment and dosimetry can only be evaluated after treatment. As holmium-166 microspheres used for TARE can be quantified with MRI, we investigated the feasibility and safety of performing TARE in a 3-T MRI in six patients. Multi-echo gradient echo imaging was performed at set time points during administration and provided intraprocedural insight into the microsphere distribution. Our findings may prove useful for providing a personalized approach to TARE. |
| 34 | Pitch: 9:15 Poster: 9:17 Plasma 16
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Test-retest repeatability of data-driven radiomic features derived from a deep-learning model: Diffusion-weighted MRI of soft-tissue sarcoma |
| Timothy Sum Hon Mun1,2, Imogen Thrussell1,2, Jessica Winfield1,2, Amani Arthur3, David J Collins1, Dow-Mu Koh1, Paul Huang3, Simon J Doran1, Christina Messiou1, and Matthew D Blackledge1 | ||
1Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, 2Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Institute of Cancer Research, London, United Kingdom |
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Monitoring treatment response of soft-tissue sarcomas (STS) following radiotherapy is challenging due to the inherent intratumoral heterogeneity of the disease. Radiomics and deep-learning provide opportunities for the discovery of potent biomarkers of treatment response. Successful response biomarkers must demonstrate good baseline repeatability if they are to be used for personalized treatment. We explore the stability of radiomic features derived from a deep-learning pipeline by determining the pairwise correlation of derived features, and measuring the baseline repeatability of features derived from the Apparent Diffusion-Coefficient maps. We demonstrate that 81/512 features are both independent and stable at repeat baseline measurement. |
| 35 | Pitch: 9:17 Poster: 9:19 Plasma 17
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Radio-pathomic tumor probability maps in glioma patients using autopsy tissue samples as ground truth |
| Samuel Bobholz1, Allison Lowman2, Michael Brehler2, Savannah Duenweg1, John Sherman1, Fitzgerald Kyereme2, Elizabeth Cochran3, Dylan Coss3, Jennifer Connelly4, Wade Mueller5, Mohit Agarwal2, 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 samples to develop multi-stage radio-pathomic models of tumor probability in glioma patients. Three models were trained to predict cell density, extracellular fluid density, and cytoplasm density segmented from autopsy samples using T1, T1C, FLAIR, and ADC intensity. A fourth model was then trained to predict tumor probability from pathological annotations using the cellularity, extracellular fluid, and cytoplasm segmentations as input. The combined models were then able to non-invasively estimate tumor probability using MRI. These maps identified regions of tumor beyond the contrast-enhancing region and discriminated between areas of tumor and vasogenic edema within FLAIR hyperintensity. |
| 36 | Pitch: 9:19 Poster: 9:21 Plasma 18
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MRI with UTE: Capability for Nodule Detection and Lung RADS Classification as Compared with Standard- and Reduced-Dose CTs in Screening Cohort |
| Yoshiharu Ohno1,2, Masao Yui3, Kaori Yamamoto3, Daisuke Takenaka4, Takeshi Yoshikawa4, Masato Ikedo3, Saki Takeda5, Akiyoshi Iwase5, Yuka Oshima1, Nayu Hamabuchi1, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Takahiro Ueda1, Hirotaka Ikeda1, 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, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 5Radiology, Fujita Health University Hospital, Toyoake, Japan |
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No report has been found to compare nodule detection and Lung RADS classification capabilities in lung cancer screening cohort among pulmonary MR imaging with 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 nodule detection and Lung RADS classification among pulmonary MR imaging with UTE, LDCT and SDCT in lung cancer screening population. |
| 37 | Pitch: 9:21 Poster: 9:23 Plasma 19
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Differentiation between benign liver lesions, primary malignant and secondary malignant tumors using APT and IVIM imaging |
| Xue Ren1, Jiazheng Wang2, Liangjie Lin2, Qingwei Song1, Renwang Pu1, Ying Zhao1, Tao Lin1, Qihao Xu1, Zhiwei Shen2, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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This study aims to assess the efficacy of amide proton transfer-weighted (APTw) combined with intravoxel incoherent motion (IVIM) imaging in differentiation benign liver lesions, primary malignant and secondary malignant tumors. Results showed that a high diagnostic efficacy could be achieved through the combination use of the APT value and IVIM parameters. |
| 38 | Pitch: 9:23 Poster: 9:25 Plasma 20
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Delta radiomics analysis of Magnetic Resonance guided radiotherapy imaging data for treatment response prediction in pancreatic cancer |
| Michal R Tomaszewski1, Kujtim Latifi2, Emanuel Boyer3, Russell F Palm3, Issam El Naqa4, Eduardo G Moros2, Sarah E Hoffe3, Stephen A Rosenberg3, Jessica M Frakes3, and Robert J Gillies1 | ||
1Cancer Physiology, H Lee Moffitt Cancer Center, Tampa, FL, United States, 2Medical Physics, H Lee Moffitt Cancer Center, Tampa, FL, United States, 3Radiation Oncology, H Lee Moffitt Cancer Center, Tampa, FL, United States, 4Machine Learning, H Lee Moffitt Cancer Center, Tampa, FL, United States |
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Magnetic Resonance Image guided Stereotactic body radiotherapy (MRgRT) is increasingly used in treatment of multiple cancers including pancreatic adenocarcinoma (PDAC). We hypothesized that quantitative analysis (radiomics) of the longitudinal MRgRT imaging during treatment can help predict response. MRgRT TrueFISP images from n=26 non-resectable PDAC patients were analyzed and image feature ratios last/first fraction quantified. Image normalization to kidney signal was validated and robustness of features assessed. Histogram skewness change demonstrated significant association with Progression Free Survival. This result shows promise for future application of the novel integrated framework for processing and quantification of MRgRT data presented here first time. |
| 39 | Pitch: 9:25 Poster: 9:27 Plasma 21
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Radio-pathomic associations between MRI and complex histomorphometric features of prostate cancer |
| Savannah R. Duenweg1, Samuel A Bobholz2, Allison K Lowman3, Michael Brehler3, Fitzgerald Kyereme3, Kenneth A Iczkowski4, and Peter S LaViolette3,5 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Wauwatosa, WI, United States, 3Radiology, Medical College of Wisconsin, Wauwatosa, WI, United States, 4Pathology, Medical College of Wisconsin, Wauwatosa, WI, United States, 5Biomedical Engineering, Medical College of Wisconsin, Wauwatosa, WI, United States |
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This study used digitized histology and MP-MRI from 48 patients with prostate cancer (PCa) to determine the relationship between complex histomorphometric features of PCa histology and MRI features. After prostatectomy, tissue samples were digitized, and co-registered to the T2 image. Slides were annotated by a pathologist, individual glands were identified using automated image processing algorithms, and histomorphometric features were calculated. Radiomic features were calculated to compare higher order texture and histological features. We found that lumen was more strongly associated with raw intensity, whereas epithelial features were more strongly associated with computed texture features. |
| 40 | Pitch: 9:27 Poster: 9:29 Plasma 22
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Predicting pathological status of prostate cancer patients – Examining the value and leading features in MRI Radiomics |
| Lars Johannes Isaksson1, Paul E Summers2, Matteo Johannes Pepa1, Mattia Zaffaroni1, Maria Giulia Vincini1, Giulia Corrao1,3, Giovanni Carlo Mazzola1,3, Marco Rotondi1,3, Sara Raimondi4, Sara Gandini4, Stefania Volpe1,3, Zaharudin Haron5, Sarah Alessi2, Paola Pricolo2, Francesco Alessandro Mistretta6, Stefano Luzzago6, Federico Cattani7, Gennaro Musi3,6, Ottavio De Cobelli3,6, Marta Cremonesi8, Roberto Orecchia9, Giulia Marvaso1,3, Barbara Alicja Jereczek-Fossa1,3, and Giuseppe Petralia3,10 | ||
1Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milano, Italy, 2Division of Radiology, IEO, European Institute of Oncology IRCCS, Milano, Italy, 3Department of Oncology and Hemato-oncology, University of Milan, Milano, Italy, 4Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milano, Italy, 5Radiology Department, National Cancer Institute, Putrajaya, Malaysia, 6Division of Urology, IEO, European Institute of Oncology IRCCS, Milano, Italy, 7Unit of Medical Physics, IEO, European Institute of Oncology IRCCS, Milano, Italy, 8Radiation Research Unit, IEO, European Institute of Oncology IRCCS, Milano, Italy, 9Scientific Directorate, IEO, European Institute of Oncology IRCCS, Milano, Italy, 10Precision Imaging and Research Unit, IEO, European Institute of Oncology IRCCS, Milano, Italy |
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The risk of patients being under- or overtreated during radiotherapy depends heavily on the pre-treatment assessment. Prediction models for surgical margin status, pathological lymph nodes, pathological tumor stage and ISUP grade group were formed using clinical and radiological features alone and together with whole-prostate radiomic features in 100 patients who proceeded to prostatectomy after multiparametric-MRI. The addition of radiomics features significantly improved AUC for the prediction models. The leading radiomic features differed between the different models. |
| 41 | Pitch: 9:29 Poster: 9:31 Plasma 23
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Radiomic Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Metastatic Risk |
| Mohammad Alhusseini1, Adrian L Breto1, Isaac L Xu1, Ahmad Algohari1, Sandra M Gaston1, Matthew C Abramowitz1, Alan Dal Para1, Sanoj Punnen2, Alan Pollack1, and Radka Stoyanova1 | ||
1Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, United States, 2Department of Urology, University of Miami Miller School of Medicine, Miami, FL, United States |
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Circulating tumor cells (CTCs) have been shown to be an indicator for metastatic risk in prostate cancer. We investigated the association between radiomics features extracted from multiparametric MRI of the prostate and CTC counts in prostate cancer patients enrolled in two institutional clinical trials (n=71). We trained a neural network to predict the dichotomized CTCs counts, defined by a 5 CTCs threshold. The top seven features, ranked using maximum-relevance minimum-redundancy, were used as input to a neural network. The training and testing were repeated for 100 runs of 5-Fold cross validation, resulting in AUC 0.834 to predict CTCs ≥ 5. |
| 42 | 9:15
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High-fidelity submillimeter-isotropic-resolution diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction |
| Congyu Liao1,2, Uten Yarach3, Xiaozhi Cao1,2, Siddharth Srinivasan Iyer4, Nan Wang1,2, Tae Hyung Kim5,6, Berkin Bilgic5,6, Adam Kerr1,7, and Kawin Setsompop1,2 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Radiologic Technology Department, Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand, 4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 6Department of Radiology, Harvard Medical School, Boston, MA, United States, 7Stanford Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States |
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BUDA-cEPI combines a circular-EPI (cEPI) trajectory with Blip-Up and Down Acquisition (BUDA), to achieve high-fidelity diffusion imaging. It employs full-ramp-sampling to efficiently cover a circular k-space to shorten the readout-train and mitigate T2*-blurring. For further readout-shortening, a combined phase-encoding(PE) & readout(RO) partial-Fourier (pF) is employed, where PE-pF is resolved via opposing the blip-up and down EPI-shots, and S-LORAKS reconstruction is used to effectively fill-out the remaining k-space. This resulted in an acquisition with markedly-reduced TE and ~40% reduced echo-train-length and T2*-blurring compared to standard-EPI at the same Rinplane and PE-pF. To achieve high-SNR, BUDA-cEPI is also combined with a gSlider-multi-slab acquisition. |
| 43 | 9:27
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Diffusion-Weighted Imaging at 0.064 T |
| Rafael O'Halloran1, Hadrien Dyvorne1, Laura Sacolick1, Jo Schlemper1, Michal Sofka1, Sadegh Salehi1, Samantha By1, Riana Schleicher2, Edmond Knopp1, Kevin Sheth3, and W. Taylor Kimberly2 | ||
1Hyperfine, Inc, Guilford, CT, United States, 2Neurology, Massachusetts General Hospital, Boston, MA, United States, 3Yale New Haven Hospital, New Haven, CT, United States |
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A sequence is described for DWI on a portable, 0.064T scanner. Images in a healthy subject and a patient with pathology are shown. |
| 44
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9:39
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“Reverse Perfusion” Imaging of the Cerebral Venous System with Displacement Spectrum Imaging (DiSpect) |
| Ekin Karasan1, Zhiyong Zhang2, and Michael Lustig1 | ||
1University of California, Berkeley, Berkeley, CA, United States, 2Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Displacement Spectrum Imaging (DiSpect) is a Fourier encoding variant of Displacement Encoding with Stimulated Echoes (DENSE). DiSpect can resolve a multi-dimensional spectrum of displacements that spins exhibit between tagging and imaging. We previously demonstrated ASL-like retrospective vessel-selective perfusion imaging with DiSpect. Here, we demonstrate the versatility of DiSpect by doing the reverse; tracing how blood drains from the capillary bed through the cerebral venous system. We image two locations in the superior sagittal sinus and trace how the superior superficial veins drain into the superior sagittal sinus, in a sense measuring reverse perfusion. |
| 45 | 9:51
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Perfusion Observations using Spherical Slice-shuffled Ultra-high-field MRI (POSSUM) |
| Jana Hutter1,2, Raphael Tomi-Tricot3, Thomas A Wilkinson1,2, Philippa A Bridgen1,2, Enrico DeVita2, Shaihan A Malik1,2, and Joseph V Hajnal1,2 | ||
1London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 2Centre for Medical Engineering, King's College London, London, United Kingdom, 3Siemens Healthcare Limited, Frimley, United Kingdom |
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Spin tagging perfusion MR imaging allows the movement of blood in human tissue to be visualized and quantified non-invasively and contrast agent-free. Velicity-selection Arterial Spin Labeling (VSASL) relies on the velocity instead of the location for tagging. It is less dependent on the anatomy and coil coverage but includes directional dependence and can suffer from reduced SNR. POSSUM expands VSASL to spherical, directional-independant encoding and slice shuffling to enable more robust perfusion imaging at 7T. |
| 46 | 10:03
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Optimization of perfusion measurements at 7 T using pulsed ASL with simultaneous multi-slice EPI readouts at multiple post-labelling delays |
| Dimo Ivanov1, Sriranga Kashyap1,2, Laurentius Huber1, Josef Pfeuffer3, Kâmil Uludağ4, and Benedikt A Poser1 | ||
1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 2Techna Institute, University Health Network, Toronto, ON, Canada, 3Siemens Healthineers, Erlangen, Germany, 4Techna Institute & Koerner Scientist in MR Imaging, Toronto, ON, Canada |
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Arterial spin labeling (ASL) at 7T is beneficial due to the higher signal-to-noise ratio (SNR) and the longer T1 of blood and tissues. A whole-brain 7T pulsed ASL approach with simultaneous multi-slice (SMS) echo planar imaging readouts at multiple inversion times is presented. The interplay between the number of inversion times acquired, the total acceleration factor employed, and the temporal SNR was investigated. In summary, a protocol with in-plane acceleration factor 2 and SMS factor 2 offers the best compromise between perfusion tSNR and number of inversion times and can be used in clinical applications investigating perfusion parameters beyond CBF. |
| 47 | 10:15
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The Open Science Initiative for Perfusion Imaging (OSIPI): Early Results from the DCE-MRI Challenge |
| Eve Shalom1, Harrison Kim2, Rianne A. van der Heijden3, Zaki Ahmed4, Reyna Patel5, David A. Hormuth6, Julie C. DiCarlo7, Nicholas J. Sisco8, Richard D. Dortch8, Ashley M. Stokes8, Marianna Inglese9,10, Matthew Grech-Sollars11,12, Nicola Toschi13,14, Prativa Sahoo15, Anup Singh16, Sanjay K. Verma17, Divya K. Rathore18, Ali Nabavizadeh19, Hamidreza Saligheh Rad20,21, Leland S. Hu22, Laura C. Bell23, Steven Sourbron24, and Anahita Fathi Kazerooni25 | ||
1School of Physics and Astronomy, University of Leeds, Leeds, United Kingdom, 2The University of Alabama at Birmingham, Birmingham, AL, United States, 3Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands, 4Mayo Clinic, Rochester, MN, United States, 5Department of Radiology, Neuroradiology Division, Mayo Clinic, Scottsdale, AZ, United States, 6Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States, 7University of Texas at Austin, Austin, TX, United States, 8Neurological Imaging, Barrow Neurological Innovation Center, Phoenix, AZ, United States, 9Department of Surgery and Cancer, Imperial College London, London, United Kingdom, 10Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Roma, Italy, 11Department of Surgery & Cancer, Imperial College London, London, United Kingdom, 12Department of Medical Physics, Royal Surrey NHS Foundation Trust, Guildford, United Kingdom, 13Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy, 14Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States, 15University Medicine Göttingen, Göttingen, Germany, 16Indian Institute of Technology Delhi, New Delhi, India, 17Singapore Bioimaging Consortium (SBIC), Singapore, Singapore, 18GPU.IO, Pune, India, 19Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 20Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 21Centre for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing / School of Medicine, University of Leeds, Leeds, United Kingdom, 22Neuroradiology Division, Department of Radiology, Mayo Clinic, Phoenix, AZ, United States, 23Genentech, Inc., South San Francisco, CA, United States, 24Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 25Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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While there is growing evidence that DCE-MRI may provide insights about the response of patients to therapies, there is a lack of standardized software quantification tools, resulting in variability in reported Ktrans values across different studies and limiting its utility in clinical applications. We have designed and launched the Open Science Initiative for Perfusion Imaging (OSIPI)-DCE challenge to provide recommended and benchmarked analysis tools for Ktrans estimation in the brain, by evaluating and comparing DCE software tools in terms of accuracy, repeatability, and reproducibility. Here, we report on the preliminary results of this challenge. |
| 48
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9:15
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SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation |
| Arjun D Desai1,2, Andrew M Schmidt2, Elka B Rubin2, Christopher M Sandino1, Marianne S Black2, Valentina Mazzoli2, Kathryn J Stevens2, Robert Boutin2, Christopher Ré3, Garry E Gold2,4, Brian A Hargreaves1,2,4, and Akshay S Chaudhari2,5 | ||
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Computer Science, Stanford University, Stanford, CA, United States, 4Bioengineering, Stanford University, Stanford, CA, United States, 5Biomedical Data Science, Stanford University, Stanford, CA, United States |
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While deep-learning-based MRI reconstruction and image analysis methods have shown promise, few have been translated to clinical practice. This may be a result of (1) paucity of end-to-end datasets that enable comprehensive evaluation from reconstruction to analysis and (2) discordance between conventional validation metrics and clinically useful endpoints. Here, we present the Stanford Knee MRI with Multi-Task Evaluation (SKM-TEA), a dataset of 155 clinical quantitative 3D knee MRI scans with k-space data, DICOM images, and dense tissue segmentation and pathology annotations to facilitate clinically relevant, comprehensive benchmarking of the MRI workflow. Dataset, code, and trained baselines are available at https://github.com/StanfordMIMI/skm-tea. |
| 49 | 9:27
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Deep-learning-based raw data generation for deep-learning-based image reconstruction |
| Frank Zijlstra1,2 and Peter T. While1,2 | ||
1Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 2Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway |
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This study demonstrates the potential of using deep learning for generating raw data to augment raw datasets of limited size for use in deep-learning-based MR image reconstruction. Using an adversarial autoencoder architecture, variability in 10 T1-weighted raw datasets from the fastMRI database was learned and recombined into new, random raw data. We trained a deep-learning-based Compressed Sensing reconstruction using both conventional approaches with real raw data and compared the results to training with generated raw data. The reconstruction from generated raw data showed improved reconstruction results and better generalization to scans with slightly different echo times. |
| 50
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9:39
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Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks |
| Wei Peng1, Li Feng2, Guoying Zhao1, and Fang Liu3 | ||
1Computer Science and Engineering, University of Oulu, Oulu, Finland, 2Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Radiology, Harvard Medical School, Boston, MA, United States |
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This work proposes a novel optimization framework to learn k-space sampling trajectories using deep learning by considering it an Ordinary Differential Equation (ODE) problem that can be solved using neural ODE. Particularly, the sampling of k-space data is framed as a dynamic system, in which neural ODE is formulated to approximate the system with additional constraints on MRI physics. Experiments were conducted on different in-vivo datasets (e.g., brain and knee images) acquired with different sequences. Initial results have shown that our proposed method can generate better image quality in accelerated MRI than conventional undersampling schemes in Cartesian and non-Cartesian acquisitions. |
| 51
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The More the Merrier? - On the Number of Trainable Parameters in Iterative Neural Networks for Image Reconstruction |
| Andreas Kofler1, Tobias Schaeffter1,2,3, and Christoph Kolbitsch1,3 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, 2Department of Biomedical Engineering, Technische Universität Berlin, Berlin, Germany, 3School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom |
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Iterative neural networks (INNs) currently define the state-of-the-art for image reconstruction methods. With these methods, the obtained regularizers are not only optimally adapted to the employed physical model but also tailored to the reconstruction method the network implicitly defines. However, comparing the performance of different INNs-based methods is often challenging because of the black-box character of neural networks. In this work we construct an example which highlights the importance of keeping the number of trainable parameters approximately fixed when comparing INNs-based methods. If this aspect is not taken into consideration, wrong conclusions could be drawn. |
| 52 | 10:03
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Automated Sequence Design using Neural Architecture Search |
| Hongjun An1, Sooyeon Ji1, Sehong Oh2, Jiye Kim1, Dongmyung Shin1, and Jongho Lee1 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Division of Biomedical Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Korea, Republic of |
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A new pulse sequence design method that requires no prior knowledge of MR physics or training dataset is proposed. This method utilizes neural architecture search, generating an optimal sequence for given properties (e.g., T2*, B1+) and target objectives. It successfully discovered FLAIR-like and spin-echo-like sequences. Furthermore, a less-intuitive sequence using three RF pulses was created when targeted for spin-echo. In an in-vivo experiment, this new sequence had almost identical contrasts and SNR with spin-echo (our SNR: 297.1±70.1; spin-echo SNR: 295.8±78.2) while utilizing 90% of RF energy of the spin-echo, suggesting a potential of the automated sequence design. |
| 53 | 10:15
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Toward a 1-minute high-resolution brain exam - MR Fingerprinting with fast reconstruction and ML-synthesized contrasts |
| Sophie Schauman1, Siddharth Srinivasan Iyer1,2, Mahmut Yurt1, Xiaozhi Cao1, Congyu Liao1, Zheng Zhong1, Guanhua Wang3, Greg Zaharchuk1, Shreyas Vasanawala1, and Kawin Setsompop1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Deptartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States |
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MRI is a notoriously slow imaging method, but in recent years many technical developments have improved acquisition speed. However, many of these new fast sequences have not made their way to clinical practice. Barriers to uptake include long reconstruction times, diminished image quality, and non-standard contrast in the resulting images. Our objective is to translate a ~1 minute MRF sequence into clinical practice, providing five high quality images with common clinical contrasts at 1 mm isotropic-resolution, as well as quantitative T1, T2, and proton density maps, all within a 5 minute reconstruction pipeline that we have deployed clinically. |
| 54 | 9:15
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Comparing high resolution 7T MRSI and PET of glioma – a promising correspondence of glutamine to amino acid PET |
| Gilbert Hangel1, Philipp Lazen2, Sukrit Sharma2, Barbara Hritoska3, Cornelius Cadrien1, Julia Furtner4, Ivo Rausch5, Tatjana Traub-Weidinger6, Eva Niess2, Lukas Hingerl2, Stephan Gruber2, Bernhard Strasser2, Barbara Kiesel7, Matthias Preusser8, Thomas Roetzer-Pejrimovsky9, Adelheid Woehrer9, Wolfgang Bogner2, Georg Widhalm7, Karl Rössler7, and Siegfried Trattnig2,10,11 | ||
1Department of Neurosurgery & High Field MR Centre, Medical University of Vienna, Wien, Austria, 2High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3FH Campus Wien University of Applied Sciences, Vienna, Austria, 4Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 5Center for Medical Physics and Biomedical Engineering,, Medical University of Vienna, Vienna, Austria, 6Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 7Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 8Division of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria, 9Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria, 10Institute for Clinical Molecular MRI, Karl Landsteiner Society, St. Pölten, Austria, 11Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria |
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We compared metabolic ratio maps of tCho, Gln, and Gly to tNAA and tCr derived from high-resolution 7T MRSI to clinical amino acid PET in 24 glioma patients. We achieved the highest DICE coefficient of 0.66±0.25 for Gln/tNAA, and further defined hot spot volumes and center of intensity distances between PET and MRSI. Overall, we showed that the information content of 7T MRSI results in a better correspondence to PET as clinical gold standard than previous MRSI studies. |
| 55 | 9:27
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Importance of the lactate shuttle between astrocytes and neurons for brain activation |
| Hélène Roumes1, Charlotte Jollé2, Jordy Blanc1, Imad Benkhaled1,3, Philippe Massot1, Marc Biran1, Carolina Piletti Chatain4, Gérard Raffard1, Véronique Bouchaud1, Nicole Deglon5, Eduardo R Zimmer6, Luc Pellerin7, and Anne-Karine Bouzier-Sore1 | ||
1CRMSB, Bordeaux, France, 2Department of Physiology, Lausanne, Switzerland, 3I3M, Poitiers, France, 4Department of Biochemistry, Porto Alegre, Brazil, 5Laboratory of Cellular and Molecular Neurotherapies, Lausanne, Switzerland, 6Department of Pharmacology,, Porto Alegre, Brazil, 7IRTOMIT, Poitiers, France |
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For decades, it was claimed that glucose was the sole and sufficient energy substrate to sustain neuronal activity and brain function. Our results challenge this view by demonstrating that despite glucose availability, lactate shuttling from astrocytes to neurons via monocarboxylate transporters is necessary to give rise to the BOLD signal in the rat cerebral cortex following whisker stimulation. Moreover, lactate shuttling turned out to be also essential for sustaining behavioral performance associated with activation of the rat barrel cortex. These findings call for a reappraisal of neuroenergetics and the role of astrocytes in determining brain activation and function. |
| 56 | 9:39
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Glycogen accumulation in the brain of classic-infantile Pompe patient measured with single-voxel 1H MRS and 2D-MRSI at 7T |
| Chloé Najac1, Vincent O. Boer2, Nadine A.M.E. van der Beek3, Ans T. van der Ploeg4, Itamar Ronen1, Johanna M.P. van den Hout4, and Hermien E. Kan1 | ||
1C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden, Netherlands, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 3Center for Lysosomal and Metabolic diseases, Department of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands, 4Center for Lysosomal and Metabolic diseases, Department of Pediatrics, Erasmus MC University Medical Center, Rotterdam, Netherlands |
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Pompe disease is caused by an abnormal accumulation of glycogen in the lysosomes of multiple tissues including the brain due to a deficit in acid α-glucosidase (GAA). The development of enzyme replacement therapy with recombinant human GAA (rhGAA) has dramatically improved patients’ survival, however, rhGAA does not reach the brain which remains untreated. Consequently, classic-infantile Pompe patients may develop progressive white matter lesions and cognitive problems. Here, we used single-voxel 1H MRS and spectroscopic imaging and found an accumulation of glycogen and significant decrease in total-N-acetyl-aspartate in the brain of classic-infantile patients (n=3) when compared to age-matched healthy controls (n=3). |
| 57
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Interleaved 1H-MRI, 2H-MRSI and 13C-MRS for time-resolved in vivo elucidation of glucose metabolism in human liver at 7 T |
| Simone Poli1,2, Ahmed Fahiem Emara3, Edona Ballabani3, Angeline Buser3, Luc Tappy3, Lia Bally3, and Roland Kreis1,2 | ||
1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland, 3Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism UDEM, Insel Hospital, University Hospital Bern, Bern, Switzerland |
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An interleaved 2H-MRSI / 13C-MRS protocol to obtain a complete picture of glucose turnover in the human liver at 7T is presented. A dedicated triple-tuned surface coil was used and the setup was optimized for temporal and spatial resolution, SNR (under the restraints of SAR) and robustness to assess hepatic glucose uptake and glycogen production. Data quality and initial kinetic data after oral deuterated glucose load is reported. Further optimization is intended to establish absolute concentrations and to generate kinetic models of metabolic fluxes. |
| 58 | 10:03
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Quantification of cross-relaxation in human skeletal muscle using downfield 1H MRS at 7T |
| Sophia Swago1, Abigail Cember2, Puneet Bagga3, Neil Wilson2, Mark A. Elliott2, Ravi Prakash Reddy Nanga2, 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 |
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In the 1H magnetic resonance (MR) spectrum of human muscle, non-exchangeable proton resonances have been observed at 8.0, 8.2 and 8.5 ppm. While relaxation rate enhancement of these resonances was previously observed, their cross-relaxation rates with bulk water have not yet been determined. Knowledge of cross-relaxation rates could improve the design of MR techniques or serve as a potential biomarker. We quantify the cross-relaxation rate of these resonances with bulk water using selective and non-selective inversion-recovery downfield MRS at 7T. We observed the cross-relaxation rates of the 8.2 and 8.5 ppm resonances were significantly faster than the 8.0 ppm resonance. |
| 59 | 10:15
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The influence of cystathionine on neurochemical quantification in brain tumor in vivo magnetic resonance spectroscopy |
| Francesca Branzoli1,2, Dinesh K Deelchand3, Roberto Liserre4, Pietro Luigi Poliani5, Lucia Nichelli6, Marc Sanson2,7, Stéphane Lehéricy1,2,6, and Małgorzata Marjańska3 | ||
1Center for Neuroimaging Research - CENIR, Paris Brain Institute - ICM, Paris, France, 2UMR S 1127, Inserm U 1127, CNRS UMR 7225, Sorbonne University, Paris, France, 3Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 4Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy, 5Pathology Unit, Department of Molecular and Translational Medicine, Brescia University, Brescia, Italy, 6Department of Neuroradiology, Pitié Salpêtrière hospital, Paris, France, 7Department of Neurology 2, Pitié Salpêtrière hospital, Paris, France |
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We reported the ability of PRESS to detect cystathionine in vivo in patients with glioma and the effect of the omission of cystathionine on the quantification of the full neurochemical profile. We showed that the omission of cystathionine from analysis leads to severe biases on the quantification of other metabolites involved in cancer metabolism, e.g., aspartate, betaine, citrate, GABA and serine. Because cystathionine was shown to accumulate preferentially in gliomas with 1p/19q codeletion, omission of this metabolite may lead to the wrong evaluation of other metabolic changes in these tumors. |
| 60 | 9:15
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Fast 3D acquisition of wave displacement in vivo for low-field MRE: application in the human forearm |
| Maksym Yushchenko1, Mathieu Sarracanie1, and Najat Salameh1 | ||
1Center for Adaptable MRI Technology (AMT Center), Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland |
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We describe a method to capture wave displacement in vivo in the human forearm for magnetic resonance elastography (MRE) at low magnetic field (0.1 T). Taking advantage of the inherently low spatial frequency nature of propagating waves, the proposed method samples a very low fraction (10%) of the 3D k-space, combined with efficient motion-encoding, processing schemes, and an optimized RF quadrature volume coil. For the first time, acquisitions are demonstrated in humans at a field below 1.5 T within only a few minutes (1-3 min). |
| 61 | 9:27
|
Numerically Optimized Magnet Designs for a Portable, Low-Field Neonatal MRI Brain Scanner |
| Jacob M White1,2, Monika Śliwiak2, Sara V Bates3,4, Jason P Stockmann2,3, Lawrence L Wald1,2,3, and Clarissa Z Cooley2,3 | ||
1Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Division of Newborn Medicine, Department of Pediatrics, Massachusetts General Hospital, Boston, MA, United States |
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Point-of-care MRI scanners sited in the neonatal intensive care unit (NICU) can provide immense benefits for diagnosing and monitoring neonatal brain injury. While NICU sited systems can address some of the transport concerns, a truly portable “isolette-side” imager with a neonate-specific design could further improve imaging access. We present a neonate-specific lightweight MRI permanent magnet design for use at the bedside in the NICU. We examine two magnet designs demonstrating the feasibility of realizing a sufficiently homogeneous main magnet with mean B0 of 125mT weighing under 15kg, both with and without a built-in gradient of 10mT/m. |
| 62 | 9:39
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EMI-Suppressed Gradient-Free Phase-Encoded Imaging at 47.5mT Using an Optimized Square-Root Solenoid for Encoding and a Saddle Coil for Imaging |
| Sai Abitha Srinivas1,2, Christopher E Vaughn1,2, Jonathan B Martin1,2, and William A Grissom1,2,3,4 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of imaging science, Nashville, TN, United States, 3Radiology, Vanderbilt University, Nashville, TN, United States, 4Electrical Engineering, Vanderbilt University, Nashville, TN, United States |
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Traditional B0 gradients have several drawbacks including high acoustic noise, PNS, bulkiness, and high cost. To address this, we demonstrate the use of Bloch-Siegert (BS) RF encoding for phase encoding using an optimized square root solenoid with a Bucking coil for high efficiency encoding and a nested uniform saddle coil for the imaging Tx/Rx coil at 47.5mT, a field strength that is especially attractive due to its low SAR and accessibility. The coil performance was evaluated in simulation and experimentally, and 2D BS phase encoded imaging and reconstructions were performed using optimized ‘U’ shaped BS pulses. |
| 63 | 9:51
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A New Approach to Shimming Halbach Arrays Using Higher Order Halbach Array Inserts |
| Thomas O'Reilly1, Wouter Teeuwisse1, and Andrew Webb1 | ||
1Radiology, Leiden University Medical Center, Leiden, Netherlands |
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Halbach arrays are an appealing magnet design for low field MRI due to their low weight and cost typically suffer from relatively high B0 inhomogeneity. In this work we show a new approach to shimming Halbach arrays using higher order Halbach inserts which can be designed to target specific spherical harmonic terms. We demonstrate the principle by correcting for the x2-y2 spherical harmonic, improving B0 homogeneity of a 31cm diameter bore Halbach array by 50% and show that in simulations homogeneities of 280 ppm can be achieved over a 20 cm sphere by correcting up to 5th order spherical harmonics. |
| 64 | 10:03
|
Low-cost Modular RFPA Platform for Gradient-Free Quantitative Imaging |
| N Reid Bolding1, Christopher Vaughn2, Colin Blades-Thomas3, William A Grissom2, and Mark A Griswold3 | ||
1Physics, Case Western Reserve University, Cleveland, OH, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Radiology, Case Western Reserve University, Cleveland, OH, United States |
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This work presents a $75 phase modulated 2.07MHz radiofrequency power amplifier (RFPA) measuring 8.5x4.5cm for Selective Encoding through Nutation and Fingerprinting (SENF). By eliminating the need for a gradient system and imaging in a low B0, SENF shows great potential to reduce the cost, size, and accessibility of magnetic resonance imaging (MRI) equipment. Here we present the development of a transmit stage of a SENF coil unit. Special consideration has been given to simplifications that can be made in RFPA design in this specific application. |
| 11:30 | ISMRM Awards: Junior Fellows, Senior Fellows & Gold Medals |
| 12:00 | ESMRMB Awards |
| 12:15 | The Technologies That Changed Clinical Cardiovascular MR: A Retrospective |
| Warren J. Manning1 | |
1Beth Israel Deaconess Medical Center, Boston, MA, United States |
| 12:35 | High-Dimensional Cardiovascular MR: Simplifying Clinical Scans |
| Matthias Stuber1 | |
1University Hospital Lausanne, Lausanne, Switzerland |
| 12:55 | CMR in Women's Cardiovascular Disease: A Different Beat |
| Mona Bhatia1 | |
1Fortis Escorts Heart Institute, Delhi, India |
14:45
|
MR Artifacts Game Show | |
| Avery Berman1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, United States |
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Artifacts: How to recognize them, learn how they arise, and learn how to prevent them. |
15:15
|
MR Artifacts Game Show | |
| Kevin Koch1 | ||
1Medical College of Wisconsin, United States |
15:45
|
MR Artifacts Game Show | |
| Esther Warnert1 | ||
1Erasmus Medical Centre, Netherlands |
14:45
|
Where Does the Signal Come From? | |
| Robert Thomen1 | ||
1University of Missouri, United States |
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Where exactly does the signal of an NMR experiment come from? How is tissue contrasted in an MR image? What can be done to improve signal? What are T1, T2, and Boltzmann Magnetization? In this lecture we will examine the foundations of the NMR experiment and build an expression for the detected signal which determines the voxel brightness in MRI. We will take a conceptual approach to understanding NMR beginning with the NMR experiment, precession, nuclear magnetization, and relaxation. |
15:15
|
Overview of MR Hardware & Its Function | |
| Rebecca Feldman1 | ||
1University of British Columbia, Canada |
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Magnetic Resonance Imaging is a powerful tool use to non-invasively and non-destructively image the human body. This is done by carefully timing and manipulating the magnetic fields. The system that makes this happen is generally composed of at three different types of electromagnets, as well as systems for control and maintenance. The physics underlying the function of these systems will be discussed, without mathematical detail. |
15:45
|
Anatomy of a Pulse Sequence | |
| Michael Schär1 | ||
1Johns Hopkins School of Medicine, United States |
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In MRI, the previously described electromagnetic fields are applied sequentially to localize the signal within the body. The timings and strengths of these fields are described by standard parameters and visualized with pulse sequence diagrams. In this talk, the most basic MRI parameters and sequences will be introduced, and how changing them affects the image contrast. |
16:15
|
From Image Contrast to Quantitative Imaging | |
| Tobias C Wood1 | ||
1King's College London, London, United Kingdom |
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This talk will provide a grounding in how to turn standard MR contrast images into quantitative maps. Such maps represent meaningful physical and biological parameters with known units. This provides new information on a voxel-wise level with which to base clinical diagnoses. This development can be seen as part of the continuing development of MRI as a field, turning the scanner from a fancy camera into a precise scientific measuring instrument. |
14:45
|
Founder's Story 1 | |
| Walter F. Block1 | ||
1University of Wisconsin-Madison, Madison, WI, United States |
15:05
|
Founder's Story 2 | |
| Dirk Smeets1 | ||
1icometrix |
15:25
|
Founder's Story 3 | |
| Jingyu Ko1 | ||
1AIRS Medical, Seoul, Korea, Republic of |
15:45
|
Growing with a Start-Up Company | |
| Michael S. Poole1 | ||
1Hyperfine, Inc., United States |
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I will share my experiences growing, and growing with, Hyperfine - a "deep tech" MRI startup. |
16:05
|
Clinician's Perspective | |
| Alexander Peter Lin1 | ||
1Brigham and Women's Hospital, United States |
16:25
|
Live demos: Systems and Components |
| 65 | 14:45
|
Quantification of sulcal emergence in the fetal brain: hemispheric asymmetry and sex difference |
| Hyuk Jin Yun1, Hyun Ju Lee2, Joo Young Lee2, Tomo Tarui3, Caitlin K. Rollins1, Cynthia M. Ortinau4, Henry A. Feldman1, P. Ellen Grant1, and Kiho Im1 | ||
1Boston Children's Hospital, Boston, MA, United States, 2Hanyang University, Seoul, Korea, Republic of, 3Tufts Medical Center, Boston, MA, United States, 4Washington University in St. Louis, St. Louis, MO, United States |
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Sulcal emergence is important to assess normality of early fetal brain development. Thus, we proposed a quantitative approach to build an accurate timetable of sulcal emergence. Using a large sample of fetuses, we automatically extracted cortical surfaces and detected presence and absences of each sulcus. By fitting a logistic curve to sulcal presence/absence, the timing and inter-subject variability of sulcal emergence were estimated. We also found hemispheric asymmetry and sex difference in the timing and variability of sulcal emergence. Our quantitative timetable concurs with previous reports but provides more precise information and allow statistical comparison. |
| 66 | 14:57
|
Temporal evolution of diffusion metrics in neonatal brains within the first few weeks postpartum |
| Pratheek Bobba1, Clara F Weber1,2, Adrian Mak1,3, Ajay Malhotra4, Kevin Sheth5, Sarah N Taylor6, Arastoo Vossough7,8, Patricia Ellen Grant9,10, Todd Constable1, Laura R Ment5,6, and Seyedmehdi Payabvash1 | ||
1Radiology, Yale School of Medicine, New Haven, CT, United States, 2Psychiatry and Psychotherapy, Social Neuroscience Lab, Department of Psychiatry and Psychotherapy, Lübeck University, Lübeck, Germany, Lübeck, Germany, 3CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany, Berlin, Germany, 4Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States, 5Neurology, Yale School of Medicine, New Haven, CT, United States, 6Pediatrics, Yale School of Medicine, New Haven, CT, United States, 7Radiology, Children's Hospital of Pennsylvania, Philadelphia, CT, United States, 8Radiology, University of Pennsylvania, Philadelphia, PA, United States, 9Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States, 10Radiology, Boston Children's Hospital, Boston, MA, United States |
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In this retrospective cohort study, we characterized the age-related topography of quantitative diffusion metric evolution in 569 neonates scanned at our institution. We also studied the temporal rate of these metrics across different regions of the brain. and developed online interactive atlases depicting age-specific normative values of ADC and FA/MD in neonatal brains. |
| 67 | 15:09
|
Genetic and Environmental Contributions to Subcortical Gray Matter Microstructure and Volume in the Developing Brain |
| Richard Watts1, BJ Casey1, and Christopher Filippi2 | ||
1Department of Psychology, Yale University, New Haven, CT, United States, 2Tufts Medical Center, Boston, MA, United States |
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Using 9-10 year old monozygotic and dizygotic twins from the Adolescent Brain and Cognitive DevelopmentSM Study, we investigated the genetic and environmental contributions to microstructure (assessed using diffusion MRI and a restriction spectrum imaging model) and volume in nine subcortical gray matter regions. Heritability estimates range from 0.45 to 0.86 for microstructure, and 0.61 to 0.88 for volumes. Only the microstructure of the amygdala showed evidence of sensitivity to the shared environment. |
| 68 | 15:21
|
Choroid plexus function and structure across the lifespan as evaluated using perfusion-weighted MRI: implications for glymphatic dysfunction |
| Jarrod J. Eisma1, Colin D. McKnight2, Kilian Hett1, Jason Elenberger1, Daniel O. Claassen1, and Manus J. Donahue1,3 | ||
1Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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The choroid plexus (ChP) has gained recent attention due to its potential functional relevance for cerebral glymphatic circulation. Here, a novel arterial spin labelling sequence and deep learning algorithm were applied to quantify ChP volume, perfusion, and volumetric flow across the healthy lifespan and in neurodegenerative participants with Parkinson’s disease (PD) to test the hypotheses that ChP hypertrophy and hypoperfusion are associated with increasing age and neurodegeneration. ChP volume increased with age, whereas perfusion decreased with age (p<0.01). In PD, ChP volumetric flow increases were more pronounced relative to age-matched healthy controls, consistent with compensatory stimulation of cerebrospinal fluid production. |
| 69
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15:33
|
MIITRA atlas: T1w and DTI templates of the older adult brain in a common space with 0.5mm resolution |
| Yingjuan Wu1, Abdur Raquib Ridwan1, Mohammad Rakeen Niaz1, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States |
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As part of the Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas project, the present work (A) developed high quality 0.5mm isotropic resolution T1-weighted (T1w) and diffusion tensor imaging (DTI) templates in common space using data from a large, diverse, community cohort of non-demented older adults, and (B) compared the new templates to existing templates of the older and younger adult brain. The new templates exhibited higher image quality, were more representative of the older adult brain, and allowed higher spatial normalization accuracy across subjects and across modalities compared to other templates. |
| 70 | 14:45
|
Perfusion territory shifts in asymptomatic carotid artery stenosis measured by super-selective arterial spin labelling |
| Gabriel Hoffmann1,2, Miriam Reichert1, Jens Göttler1, Michael Helle3, Kim van de Ven4, Claus Zimmer1,2, Moritz Hernandez Petzsche1,2, Hans Liebl1,5, Nico Sollmann1,6, Christine Preibisch1,2, and Stephan Kaczmarz1,2,7 | ||
1Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 3Philips Research, Hamburg, Germany, 4Philips Healthcare, Best, Netherlands, 5Department of Radiology, Neuroradiology and Minimal-Invasive Therapy, Klinikum Bogenhausen, Munich, Germany, 6Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany, 7Philips Healthcare, Hamburg, Germany |
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Vessel-selective imaging is promising to examine collateral blood supply in asymptomatic internal carotid artery stenosis (ICAS). Established modalities like digital subtraction angiography are invasive, not quantitative and associated with potential complication risks. A viable non-invasive alternative is super-selective arterial spin labelling, providing perfusion territories of individual arteries. We present data from seven asymptomatic ICAS patients and four age-matched healthy controls. We compared individual perfusion territory maps to an atlas of vascular territories and evaluated intra-hemispheric differences, allowing for quantitative assessment of stenotic mal-perfusion as well as compensatory collateral blood supply from the contralateral ICA. |
| 71 | 14:57
|
Measuring glomerular blood transfer rate in kidney using diffusion-weighted arterial spin labeling |
| Hyun-Seo Ahn1 and Sung-Hong Park1 | ||
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
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Imaging methods for the non-invasive measurement of renal function, such as glomerular filtration rate (GFR), are promising. In this study, we propose a renal perfusion kinetic model to estimate the blood transfer rate constant ($$$k_G$$$) in glomerulus with the multi-slice multi-delay diffusion-weighted arterial spin labeling sequence. Mean cortical $$$k_G$$$ values with a caffeine challenge were higher than those with no caffeine challenge, consistent with previous studies with GFR. The current study is promising in that it shows a potential availability of $$$k_G$$$ as a non-invasive quantitative measure of renal function. |
| 72 | 15:09
|
Free Breathing 3D ASL Imaging of the Human Liver using Prospective Motion Correction: Preliminary Results |
| Jörn Huber1, Daniel Hoinkiss1, Meghashree Channaveerappa1, and Matthias Günther1,2 | ||
1Fraunhofer MEVIS, Bremen, Germany, 2Faculty 1 (Physics/Electrical Engineering), University of Bremen, Bremen, Germany |
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Assessment of liver perfusion can yield valuable information about diseases like carcinoma and cirrhosis. Arterial spin labeling enables contrast-free measurements of liver perfusion with the drawback of increased motion sensitivity. Since timed breathing protocols prolong scan times, a novel prospective motion correction technique is presented, adjusting the initial saturation and image readout to the current position of the liver during the breathing cycle. The presented technique is compatible with highly suppressed signals, typically encountered in modern ASL imaging and achieved a significant decrease of cranial-caudal liver translation in acquired 3D GRASE volumes. |
| 73 | 15:21
|
Multi-delay pseudo-continuous arterial spin labeling for perfusion quantification in the spleen |
| Sergio M. Solis-Barquero1,2, Verónica Aramendia-Vidaurreta1,2, Marta Vidorreta3, Rebeca Echeverria-Chasco1,2, Leyre García-Ruiz1,2, Ana Ezponda1,2, Gorka Bastarrika1,2, and María A. Fernández-Seara1,2 | ||
1Departament of Radiology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Navarra, Spain, 3Siemens Healthineers, Madrid, Spain |
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The spleen plays an important role in diseases related to portal circulation. Pseudo-continuous arterial spin labeling (PCASL) was used to assess the Splenic Blood Flow (SBF) using six different post labeling delays in five different healthy volunteers. SBF and ATT maps were generated by fitting the one compartment Buxton kinetic model. This study shows the feasibility of using single and multi-delay PCASL to measure blood flow in the spleen. Obtained SBF values are in agreement with previous studies. PCASL enables a reliable measure of splenic blood flow in healthy volunteers. |
| 74 | 15:33
|
Elevated Foot Diffusion and Resting Perfusion in Patients with Diabetic Foot Ulcer: A Pilot and Feasibility Study |
| David A Reiter1, Jingting Yao2, Scott Edwards1, Marcos Coutinho Schechter1, Maya Fayfman1, Gabriel Santamarina1, Paula Nesbeth1, Vincent Giacalone1, Gerardo Blanco1, Thorsten Feiweier3, Rabindra Tirouvanziam1, Jessica Alvarez1, Benjamine Risk1, and Ravi Rajani1 | ||
1Emory University, Atlanta, GA, United States, 2Massachusetts General Hospital, Boston, MA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Here we apply intravoxel incoherent motion (IVIM) and fractional Fickian diffusion (FFD) models to multi-b-value diffusion-weighted-MRI to study tissue cellular and resting microvascular properties of the foot of patients with diabetic foot ulcer. We report preliminary results from an ongoing study comparing patients with type 2 diabetes and persistent plantar foot ulcers with healthy age- and BMI-matched individuals. Pseudo-diffusion and mean diffusion coefficients and microvascular volume fraction were elevated in patients, showing large effect sizes in subregions. This approach may prove useful for evaluating patients with ulcers to prognosticate tissue at risk of poor wound healing. |
| 75 | 15:45
|
Velocity-selective arterial spin labeling perfusion in the evaluation of treated high grade gliomas at 1.5 Tesla |
| Sebastian Lambrecht1,2, Dapeng Liu1,3, Omar Dzaye4, Matthias Holdhoff4, Peter van Zijl1,3, Qin Qin1,3, and Doris Lin1,3 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Institute of Neuroradiology, University Hospital LMU Munich, Munich, Germany, 3F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Perfusion measures were compared between VSASL and DSC methods at 1.5T in 28 patients with treated high-grade glioma assigned into 2 groups: “tumor” (with detectable enhancing tumor, n=9) and “non-tumor” (without detectable tumor, n=19). All measures (rCBF and tSNR from VSASL, rCBV and rCBF from DSC) showed significant difference between “tumor” and “non-tumor” groups allowing reliable discrimination. In general, there was moderate to excellent agreement and correlation between these measures derived from VSASL vs. DSC. Hence, VSASL has potential to serve as a viable non-invasive alternative to DSC perfusion in the clinical disease surveillance without the need for exogenous contrast. |
| 76 | 15:57
|
Exercise-induced hyperemia ASL and CrCEST at 3T demonstrate individual calf muscle improvement post-revascularization in patients with PAD |
| Helen Sporkin1, Toral Patel2, Yaqub Betz3, Christopher Kramer2,3, and Craig Meyer1,4 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Cardiac Imaging, University of Virginia, Charlottesville, VA, United States, 3Cardiology, University of Virginia, Charlottesville, VA, United States, 4Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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Peripheral arterial disease is a prevalent atherosclerotic disease characterized by atherosclerotic lesions in the limbs. Patients with PAD have been shown to have a delayed phosphocreatine recovery due to chronic ischemia. Patients with PAD may be candidates for revascularization, but outcomes are variable. CrCEST allows for creatine concentrations to be monitored at high spatial resolution, while ASL quantifies perfusion into tissue. We use this combination to revascularization in patients undergoing both endovascular and surgical procedures. Preliminary results link improvement in CrCEST decay curves and improved functional walk scores, while increased perfusion seen on ASL does not necessarily correlate with improvement. |
| 77 | 16:09
|
Amyloid burden and vascular risk factors correlate with regional cerebral blood flow in a cognitively unimpaired population |
| Beatriz E. Padrela1, Luigi Lorenzini1, Lyduine E. Collij1, Mara ten Kate1, Anouk den Braber2,3, Jori Tomassen2, Bart N.M. van Beckel1, Pieter Jelle Visser2, Frederik Barkhof1,4, Jan Petr5, and Henk J.M.M. Mutsaerts1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, Netherlands, 2Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands, Amsterdam, Netherlands, 3Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands, 4Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 5Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany |
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Studying the association between cerebral blood flow (CBF), amyloid burden, and vascular risk factors in a cognitively unimpaired elderly population could clarify the role of CBF as a biomarker of cognitive decline. In 196 cognitively unimpaired participants, regional CBF was associated with regional amyloid-PET Centiloid. Vascular risk scores as measured by the Framingham risk score combined with amyloid Centiloid values were associated with increased CBF in vascular territories. Longitudinally, global CBF changes were associated with baseline precuneus amyloid burden. |
| 78 | Pitch: 14:45 Poster: 14:47 Plasma 1
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Accelerated 2D PC-MRI using a Deep Learning-Based Reconstruction with Complex Difference Estimation: A Prospective Feasibility Study |
| Matthew J. Middione1, Julio A. Oscanoa1,2, Ali B. Syed1, Shreyas S. Vasanawala1, and Daniel B. Ennis1,3 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Bioengineering, Stanford University, Stanford, CA, United States, 3Cardiovascular Institute, Stanford University, Stanford, CA, United States |
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We have previously demonstrated a Deep Learning (DL) reconstruction of highly accelerated 2D PC-MRI datasets. We trained a DL reconstruction by retrospectively undersampling fully-sampled 2D PC-MRI datasets to enable up to 9x accelerated images with <5% error in accuracy and precision. Herein, we compare the accuracy and precision of 2D PC-MRI measurements for our prospectively deployed sequence and DL reconstruction. In this initial feasibility study, we show that our DL reconstruction provides <5% error in the accuracy of peak velocity and total flow relative to 2x parallel imaging and better accuracy and precision compared to 8x compressed sensing. |
| 79 | Pitch: 14:47 Poster: 14:49 Plasma 2
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Automated compensation of respiratory motion and bulk patient movement in free-running whole-heart 4D MRI |
| Christopher W Roy1, Jérôme Yerly1,2, Milan Prša3, Estelle Tenisch1, Tobias Rutz4, Davide Piccini1,5, and Matthias Stuber1,2 | ||
1Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Woman-Mother-Child, Pediatric Cardiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Cardiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland |
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A novel methodology for whole-heart 4D MRI with retrospective compensation of both respiratory motion and bulk patient movement is developed and its initial feasibility demonstrated. This approach enables imaging with high isotropic resolution and allows for retrospective evaluation of the dynamic cardiac anatomy creating a new way to significantly improve image quality in un-cooperative patients and potentially decreasing the need for sedation. |
| 80 | Pitch: 14:49 Poster: 14:51 Plasma 3
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FlowSeg: Joint deep artifact suppression and segmentation network for low latency beat-to-beat assessment of cardiac aortic flow. |
| Olivier Jaubert1,2, Javier Montalt-Tordera1, Simon Arridge2, Jennifer Steeden1, and Vivek Muthurangu1 | ||
1Institute of Cardiovascular Sciences, University College London, London, United Kingdom, 2Department of Computer Science, University College London, London, United Kingdom |
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Real-time cardiac output monitoring is desirable but requires low latency reconstruction and segmentation. A framework based on a spiral real-time flow acquisition and joint deep artifact suppression and segmentation was developed to provide flow volumes with low latency at the scanner. The proposed network was characterized in simulations and the full framework tested at the scanner providing real-time monitoring of flow during exercise. Future work will aim to validate the method in a larger cohort. |
| 81 | Pitch: 14:51 Poster: 14:53 Plasma 4
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Fat mitigation strategies to improve image quality of radial 4D flow MRI in obese subjects |
| Thekla Helene Oechtering1,2, A M K Muntasir Shamim3, Alma Spahic4, Nikolaos Panagiotopoulos1,2, Oliver Wieben1,4, Alejandro Roldán-Alzate1,5,6, Scott B Reeder1,4,5,6,7, and Kevin M Johnson1,4 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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4D flow MRI of the abdomen is challenging in obese patients due to confounding streak artifacts from fat and large imaging volume. This ongoing study aims to test different fat mitigation strategies to improve image quality. We acquired three 10-min contrast-enhanced, radial 4D flow sequences: 1) with clinically used standard parameters, 2) with inner volume excitation, and 3) with fat saturation. Preliminary results confirm best signal-to-noise ratio, longest streamlines and fewest streak-artifacts using inner volume excitation. Flow rate and repeatability did not differ between sequences. |
| 82 | Pitch: 14:53 Poster: 14:55 Plasma 5
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Automatic background phase correction on 4D Flow using M-estimate SAmple Consensus (MSAC) |
| Carola Fischer1,2, Jens Wetzl2, Tobias Schäffter1,3,4, and Daniel Giese2,5 | ||
1Department of Medical Imaging, Technical University of Berlin, Berlin, Germany, 2Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 3Physikalisch-Technische-Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 4School of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, United Kingdom, 5Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany |
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4D Flow data requires background phase removal to correctly quantify flow velocities. Typical methods are semi-automatic, requiring manual parameter input and remain time-consuming. Furthermore, correction methods based on stationary tissue segmentation fail when in the presence of wrap-around artifacts. In contrast, the proposed M-Estimate SAmple Consensus (MSAC) algorithm robustly and fully automatically corrects background phases by rejecting pixels that show large deviations from the most probable phase offset fit. A parameter sensitivity analysis is proposed following in vivo application in 13 datasets. |
| 83 | Pitch: 14:55 Poster: 14:57 Plasma 6
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Novel Self-calibrating 4D Flow-Field Signature Technique to Simultaneously Optimize Eddy Current Corrections and Detect Wraparound Errors |
| Thara Nallamothu1,2, Haben Berhane1,2, Liliana Ma1, Justin Baraboo1,2, Daniel C. Lee3, Daniel Kim1, Phillip Greenland4, Michael Markl1,2, 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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Eddy current corrections are essential in preprocessing 4D flow data due to differing offset errors in each flow component leading to spatiotemporal inaccuracies in the velocity vector-field. Current automated optimization methods may require training data, have limited generalizability to different scan protocols, are sensitive to wraparound errors, and do not account for complex spatiotemporal errors. We introduce a self-calibrating method to optimize eddy current corrections and detect wraparound errors by using our recent 4D flow-field disparity signature technique that stochastically encodes the entire spatiotemporal profile of paired vector disparities and show feasibility and generalizability to two different 4D flow protocols. |
| 84 | Pitch: 14:57 Poster: 14:59 Plasma 7
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Evaluation of operation pressure of a soft robotic extra-aortic cardiac assist device using MRI |
| Seraina Anne Dual1,2, Mattia Arduini1, Brigitte Schmittlein 3, Judith Zimmermann1,4, Ellen Roche5, and Daniel Ennis2,6,7 | ||
1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2Cardiovascular Institute, Stanford University, Palo Alto, CA, United States, 3Department of Mechanical Engineering, Stanford University, Palo Alto, CA, United States, 4Department of Computer Science, Technical University of Munich, Garching, Germany, 5Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Department of Radiology, Stanfor University, Palo Alto, CA, United States, 7Division of Radiology, Veterans Affairs Health Care System, Palo Alto, CA, United States |
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MRI can be used to evaluate the interaction of soft robotic devices with biological tissues. The aim of this study was to use MRI to optimize the actuation pressure of an extra-aortic soft robotic cardiac assist device. We evaluated wall deformations, displaced fluid volumes and qualitative flows induced by the actuator on a fluid filled elastic vessel. Our results show that the displaced volume increases with the actuator pressure and decreases with increasing the vessel pressure. The maximum actuator pressures do not lead to buckling of the vessel wall given the current three-bladder design. |
| 85 | Pitch: 14:59 Poster: 15:01 Plasma 8
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4D flow MRI derived global intracranial pulse wave velocity and T1 white matter hypointensities among a population-based group of older people |
| Cecilia Björnfot1, Anders Eklund1,2, Jenny Larsson3, William Hansson3, Sara Qvarlander1, Lars-Owe Koskinen3, Jan Malm3, and Anders Wåhlin1,2,4 | ||
1Department of Radiation Sciences, Umeå University, Umeå, Sweden, 2Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden, 3Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden, 4Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden |
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Arterial stiffening occurs with age and could be detrimental to the brain through several pathways. This potentially aggravates factors causing cerebral small vessel disease. We assessed arterial stiffness of the intracranial arteries through a newly developed global intracranial pulse wave velocity (PWV) measurement using 4D flow MRI data in a population-based cohort of older people and compared it to white matter hypointensity volume (WMH). Results revealed a weak but significant correlation between WMH and PWV, suggesting that such PWV measurement could be a useful tool to assess the brain’s vascular health. |
| 86 | Pitch: 15:01 Poster: 15:03 Plasma 9
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Characterization of Pulmonary Flow Hemodynamic Patterns in Patients with repaired Tetralogy of Fallot using 4D Flow MRI |
| Ashifa Hudani1, David Patton 2, James A White3, Steven Greenway2, and Julio Garcia3 | ||
1University of Calgary, Calgary, AB, Canada, 2Alberta Children's Hospital Research Institute, Calgary, AB, Canada, 3Libin Cardiovascular Institute, Calgary, AB, Canada |
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Tetralogy of Fallot (TOF) occurs in 1 in 3,500 births and is the most common cyanotic congenital heart defect. Patients with repaired TOF (rTOF) require constant monitoring to prevent life-threatening adverse effects. Hence, this study used 4D Flow MRI to assess pulmonary flow hemodynamics in patients with rTOF. All hemodynamic parameters calculated along the main pulmonary were shown to be higher in patients compared to controls. |
| 87 | Pitch: 15:03 Poster: 15:05 Plasma 10
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Evidence for Improved Left Atrial Blood Flow Dynamics after Pulmonary Vein Isolation in Patients with Atrial Fibrillation |
| Maurice Pradella1,2, Justin J Baraboo1, Suvai Gunasekaran1, Mitchell A Collins1, Anthony Maroun1, Amanda L DiCarlo1, Rishi Arora3, Phil Greenland4, Rod Passman3, and Michael Markl1 | ||
1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland, 3Department of Cardiology, Northwestern University, Chicago, IL, United States, 4Department of Preventive Medicine, Northwestern University, Chicago, IL, United States |
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Atrial fibrillation (AF) significantly increases stroke risk which is attributed to thrombus formation in the left atrium (LA) and to a greater extent the LA appendage (LAA). In this study, we investigated 4D-flow MRI-derived blood flow metrics from pre- and post-ablation exams in 26 AF patients undergoing pulmonary vein isolation (PVI). Blood stasis in both the LA and LAA significantly decreased in the post-PVI 4D-flow MRI. Furthermore, LA and LAA volumes also significantly decreased. Our results suggest that 4D-flow MRI was sensitive to detect treatment-related changes of LA and LAA flow metrics implicated on thromboembolic risk in AF patients. |
| 88 | Pitch: 15:05 Poster: 15:07 Plasma 11
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In Vitro 4D Flow MRI for the Analysis of Aortic Coarctation |
| James Rice1,2, Labib Shahid1,2, Haben Berhane3,4, Cynthia K Rigsby5, Joshua D Robinson5, Lindsay M Griffin5, Michael Markl3,4, and Alejandro Roldan-Alzate1,2 | ||
1Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Biomedical Engineering, Northwestern University, Evanston, IL, United States, 5Medical Imaging, Lurie Children's Hospital of Chicago, Chicago, IL, United States |
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4D flow MRI can be used to assess aortic coarctation (COA) repair hemodynamics in-vivo, however, challenges arise depending on hemodynamics and clinical presentation. This study presents a modeling pipeline for in-vitro COA hemodynamic assessment. Three patient-specific in-vitro models were created representing pre- and post-repair COA geometries, connected to a pulsatile flow loop, and imaged with 4D flow MRI to assess model hemodynamics. In all cases, aortic flow profiles are shown to improve after intervention. This agrees with clinical expectation, suggesting in-vitro 4D flow MRI can be used to analyze COA hemodynamics. |
| 89 | Pitch: 15:07 Poster: 15:09 Plasma 12
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Evaluation of BAV Disease in Preserved Ejection Fraction: New Insight from Intra-Cardiac Pressure Drop |
| Shirin Aliabadi1, Michael S. Bristow1, Carmen Lydell1, Paul WM Fedak1, James White1, and Julio Garcia1 | ||
1University of Calgary, Calgary, AB, Canada |
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We aimed to detect the reliability of flow component analysis and intra-cardiac pressure drop analysis in the bicuspid aortic valve (BAV)-induced regurgitation cases compared to age-matched healthy control in the preserved ejection fraction (EF). Flow component analysis did not show differences while intra-cardiac pressure drop differentiated groups. |
| 90
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Pitch: 15:09 Poster: 15:11 Plasma 13
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Efficient 3D dark-blood thoracic and abdominal aortic imaging with novel motion-corrected water/fat DANTE sequence |
| Camila Munoz1, Alina Hua1, Karl P Kunze2, Radhouene Neji1,2, Tevfik F Ismail1, 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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Dark-blood imaging is a promising tool for vessel wall assessment in cardiovascular disease. Here we introduce a novel water/fat DANTE-prepared sequence for 3D dark-blood imaging of the thoracic and abdominal aorta. The sequence integrates image navigation to enable respiratory motion correction resulting in a predictable scan time. Results from healthy subjects show the feasibility of the sequence for depicting the aortic wall with high-resolution with an overall short scan of ~6 minutes. |
| 91 | Pitch: 15:11 Poster: 15:13 Plasma 14
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High resolution motion compensated contrast-free free-breathing 3D CMRA at 7T using single transmit coil |
| Shubhajit Paul1, Raphael Tomi-Tricot1,2, Camila Munoz1, Karl Philipp Kunze1,2, Shaihan Malik1,3, Joseph V. Hajnal1,3, Philippa Bridgen1,3, Thomas Wilkinson1,3, Sharon Giles1,3, Radhouene Neji1,2, Reza Razavi1, Claudia Prieto1,4, and René Michael Botnar1,4 | ||
1School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3The London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 4Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile |
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3D cardiovascular MR imaging at ultra-high field (7T) is very challenging due to magnetic-field inhomogeneity (B0 and B1), SAR constraints and also the coil-depth issues of surface coils. To our best knowledge this is the first report demonstrating contrast-free ultra-high resolution (0.7mm3 isotropic) free-breathing 3D CMRA images with translational respiratory motion compensation. To avoid SAR constraints imposed by the use of T2-preparation pulses, high excitation flip-angles are exploited to obtain high contrast between the coronary arteries and myocardium. This technique may be adopted for clinical applications to produce high-resolution cardiac MR images at 7T scanners. |
| 92 | Pitch: 15:13 Poster: 15:15 Plasma 15
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Cine Flow Measurements using Phase-Contrast bSSFP at 0.75 Tesla |
| Eva Peper1, Hannes Dillinger1, Charles McGrath1, Christian Guenthner1, and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering, ETH Zurich, Zurich, Switzerland |
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The use of balanced steady-state free precession sequences (bSSFP) is an approach to compensate for the signal-to-noise ratio (SNR) loss at lower-field systems (<1T). Low field MRI systems are cheaper, lighter, and less prone to system imperfections than regular 1.5-3T systems, used in clinical practice. In this work, the feasibility and accuracy of velocity encoding using phase-contrast balanced SSFP (PC-bSSFP) is demonstrated and tested on a clinical 3T MRI system ramped down to 0.75T. Phantom and in-vivo results are compared to a standard 2D spoiled gradient echo phase-contrast sequence (PC-GRE). |
| 93 | 14:45
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Evaluation inflammatory and chronic structural sacroiliac joint changes in Axial Spondyloarthritis using semiquantitative MRI scoring system |
| yimeng zhang1, zikang guo1, and xinwei lei2 | ||
1First Central Clinical College, Tianjin Medical University, Tianjin, Tianjin, China, 2Tianjin First Central Hospital, Tianjin, Tianjin, China |
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There are many clinical studies investigating the differences between non-radiographic axial spondyloarthritis and ankylosing spondylitis(AS), but few focus on radiology. Spondyloarthritis Research Consortium of Canada (SPARCC) and Sacroiliac Joint Structural Score (SSS) scoring systems can assess a broad spectrum of inflammatory and structural lesions. Our results indicate SPARCC scores were significantly improved after treatment. A significant increase in SSS scores for fat metaplasia and backfill was noted. Therefore, using semiquantitative MRI scoring methods can assess abnormal lesions and treatment response. Higher structural damages were seen in AS patients. SPARCC can assess severity of disease pre-treatment and treatment effectiveness. |
| 94 | 14:57
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Extended and weight bearing wrist MRI using a positioning apparatus and flexible glove coil to explore the cause of dorsal pain |
| Bili Wang1,2, Jerzy Walczyk1,2, Mohammed Ahmed1, Madeline Rocks3, Stuart Elkowitz3, Louis Catalano3, Christopher Burke1, Steven Daniels1, and Ryan Brown1,2 | ||
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Orthopedic Surgery, New York University Grossman School of Medicine, New York, NY, United States |
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Dorsal wrist pain during extension or weight bearing is a common symptom, the etiology of which often remains unclear. Clinical MRI often fails to reveal causative pathology in part because it is performed in the neutral position. We built an apparatus to guide motion and used a flexible coil to capture signal in a range of positions that better match the conditions during which pain is reported. Results in nine asymptomatic volunteers show excellent tissue structure delineation, strong measurement agreement among readers, and increases in dorsal capsule thickness and radiocapitate, radiolunate, capitolunate and extensor tendon angulation during weight bearing. |
| 95 | 15:09
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Accelerated High-Resolution 3D Isotropic Wrist MRI at 7 Tesla: Compressed Sensing vs. SENSE |
| Bobby Runderkamp1, Matthan Caan2, Wietske van der Zwaag3, Robert Hemke1, Mario Maas1, Mads Andersen4,5, Gustav Strijkers2, Karin Markenroth Bloch4, and Aart Nederveen1 | ||
1Radiology & Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, Netherlands, 3Spinoza Center for Neuroimaging, Amsterdam, Netherlands, 4Lund University Bioimaging Center, Lund, Sweden, 5Philips Healthcare, Copenhagen, Denmark |
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Imaging of the intricate arrangement of small structures in the wrist benefits from high resolution imaging, which the increased SNR at 7 Tesla can enable. However, the increased resolution requires longer scan times, decreasing patient comfort and increasing risk of motion artifacts. In this work, we evaluated compressed sensing (CS) acceleration of a clinical wrist 7T MRI protocol, 0.45mm isotropic resolution, in comparison to SENSE-acceleration. We show that CS-acceleration can produce adequate to good image quality in significantly shorter scan times, not achievable by increasing SENSE-acceleration. |
| 96 | 15:21
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Gadolinium Free Synthetic Inflammation Imaging |
| Hari Umesh1, Francesco Caliva2, Jing Liu2, Xiaojuan Li3, Thomas Link2, Sharmila Majumdar2, and Valentina Pedoia2 | ||
1University of Illinois at Urbana-Champaign, Champaign, IL, United States, 2UCSF, San Francisco, CA, United States, 3Cleveland Clinic, Cleveland, OH, United States |
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Traditional MRI imaging involves injecting gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) , a pure substance that induces contrast to highlight inflammation and blood vessels in MRI images, proven to increase accuracy in radiologic diagnosis. We present a 2D V-net image contrast generation model that accurately predicts Gd-DTPA induced contrast from corresponding images without Gd-DTPA induced contrast. |
| 97
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15:33
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Deep-Learning-based contrast synthesis from MRF parameter maps in the knee |
| Olli Nykänen1,2, Antti Isosalo1, Satu I Inkinen1, Victor Casula1,3, Mika Nevalainen1,3,4, Riccardo Lattanzi5, Martijn Cloos6, Mikko J Nissi2, and Miika T Nieminen1,3,4 | ||
1Research Unit of Medical Imaging, Physics and Technology,, University of Oulu, Oulu, Finland, 2Department of Applied Physics, University of Eastern Finland, Kuopio, Finland, 3Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland, 4Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland, 5Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 6Centre for Advanced Imaging, Queensland University, Brisbane, Australia |
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In this study, deep convolutional neural networks (DCNN) are used to synthesize contrast-weighted magnetic resonance (MR) images from quantitative parameter maps of the knee joint obtained with magnetic resonance fingerprinting (MRF). Training of the neural networks was performed using data from 142 patients, for which both standard MR images and quantitative MRF maps of the knee were available. The study demonstrates that synthesizing contrast-weighted images from MRF-parameter maps is possible utilizing DCNNs. Furthermore, the study indicates a need to tune up the dictionary used in MRF so that the parameters expected from the target anatomy are well-covered. |
| 98 | 15:45
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Improving diagnostic confidence using a Deep-Learning Reconstructed Fast Motion-Robust PROPELLER protocol for Shoulder Imaging |
| Laura Carretero1,2, Xinzeng Wang3, Eugenia Sánchez4, Satish Nagrani4, Daniel Litwiller5, Pablo García-Polo1, Maggie Fung6, and Mario Padrón4 | ||
1GE Healthcare, Madrid, Spain, 2Rey Juan Carlos University, Madrid, Spain, 3GE Healthcare, Houston, TX, United States, 4Clínica Cemtro, Madrid, Spain, 5GE Healthcare, Colorado, CO, United States, 6GE Healthcare, New York, NY, United States |
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PROPELLER imaging is the choice for motion-prone anatomies, to generate good diagnostic quality images even for challenging patients. However, it is associated with prolonged scan times. In this study we evaluate the application of a new DL-based reconstruction algorithm to enhance a fast PROPELLER shoulder protocol with the goal of providing consistent diagnostic confidence and an overall improved image quality compared to conventional routine protocols. Our study demonstrates the proposed under 10min shoulder MRI protocols are interchangeable and have the same diagnostic confidence with better SNR and lesion conspicuity than routine MRI protocols for shoulder post-contrast and instability exams. |
| 99 | 15:57
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The role of facet joint arthropathy in chronic low back pain and its association with adjacent paraspinal muscle composition |
| Nico Sollmann1,2,3, Noah B. Bonnheim4, Gabby B. Joseph1, Ann A. Lazar5, Ravi Chachad1, Jiamin Zhou1, Jeannie F. Bailey4, Xiaojie Guo4, Thomas M. Link1, Aaron J. Fields4, and Roland Krug1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany, 3Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany, 4Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, United States, 5Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States |
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Low back pain (LBP) is a global health burden, but patient phenotyping based on imaging that would facilitate timely and effective treatment regimens lacks behind. One issue is that associations between different structures at the degenerative lumbar spine are not yet well characterized. In this study we revealed that facet joint arthropathy (FJA) at level L4/L5 is associated with the fat fraction (FF) of adjacent paraspinal musculature (PSM) as derived from chemical shift encoding-based water-fat MRI (CSE-MRI), as well as with Modic-type endplate changes, endplate defects, and intervertebral degenerative disk disease (DDD) in patients with chronic LBP. |
| 100 | 16:09
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Turbo-spin echo based B1+ mapping in the presence of metallic hardware |
| Iman Khodarahmi1, Mahesh B Keerthivasan2, and Jan Fritz1 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA Inc, Malvern, PA, United States |
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A robust B1+ mapping technique in the presence of metallic hardware is still unavailable. Our proposed B1+ quantification technique relies on turbo-spin echo or SEMAC acquisitions to decrease metal-related susceptibility artifacts while resolving B1+ values from signal variations at various sets of excitation and refocusing flip angles. Apriori knowledge of signal evolution is obtained by simulating the Bloch equations at each B1+ value. Phantom validation showed promising results, particularly at areas close to the metal surface, which are invisible with other mapping techniques. |
| 101
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14:45
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3D Diffusion-prepared MRF (3DM) with cardiac gating for rapid high resolution whole-brain T1, T2, proton density and diffusivity mapping |
| Xiaozhi Cao1,2, Congyu Liao1,2, Zheng Zhong1, Erpeng Dai1, Siddharth Srinivasan Iyer1,3, Ariel J Hannum1,4, Mahmut Yurt1,2, Stefan Skare5, and Kawin Setsompop1,2 | ||
1Department of Radiology, Stanford university, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford university, Stanford, CA, United States, 3Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 4Department of Bioengineering, Stanford university, Stanford, CA, United States, 5Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden |
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In this work, a diffusion preparation was implemented in a 3D spiral-projection MRF framework to introduce additional diffusion weighting. Using MRF dictionary with diffusion terms, it enables whole-brain T1, T2, PD and additional diffusivity mapping with 1.25-mm isotropic resolution within 3min. To improve the image quality, cardiac gating and low-resolution navigator were also implemented to mitigate the signal variation caused by motion during diffusion encoding. Subspace reconstruction was used along with LLR regularization to improve the reconstruction conditioning as well as SNR. |
| 102 | 14:57
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Joint Generation of Multi-contrast Magnetic Resonance Images and Segmentation Map Using StyleGAN2-based Generative Network |
| Geonhui Son1, Taejoon Eo1, Yohan Jun1, Hyungseob Shin1, and Dosik Hwang1 | ||
1Electrical and Electronic Engineering, Yonsei university, Seoul, Korea, Republic of |
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Training deep neural networks for medical imaging commonly requires large image datasets and paired label datasets. However, in the medical imaging research field, labeling costs are very expensive. To overcome this issue, we propose a data generation method which is StyleGAN2-based architecture that jointly generates multi-contrast magnetic resonance (MR) images and segmentation maps. The effectiveness of our generation model is validated in terms of segmentation performance for tumors. We demonstrate that the segmentation model only trained with the fake data generated from our method achieves comparable performance to that trained with real data. |
| 103
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15:09
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MR-double-zero - Can a machine discover new MRI contrasts, such as metabolite concentration? |
| Sebastian Mueller1,2, Felix Glang1, Kai Herz1,2, Klaus Scheffler1,2, and Moritz Zaiss1,3 | ||
1High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Department of Biomedical Magnetic Resonance, Eberhard Karls University Tübingen, Tuebingen, Germany, 3Department of Neuroradiology, University Hospital Erlangen, Erlangen, Germany |
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Discovery of MR contrast and/or conventional sequence parameter optimization usually requires a theoretical model to describe MR physics. Here we investigate if novel contrasts can be found by directly running numerical optimization on a real MRI scanner instead of a simulation. To this end, a derivative-free optimization algorithm is set up to repeatedly update and execute a parametrized sequence on the scanner and map the acquired signals to a given target contrast. As proof-of-principle, we show that this enables creatine concentration mapping by learning a CEST-prepared sequence, which is found solely based on known target concentrations in a phantom. |
| 104
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15:21
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Advances in accelerated imaging at 9.4T with electronically modulated time-varying receive sensitivities |
| Felix Glang1, Anton Nikulin1,2, Jonas Bause1, Rahel Heule1,2, Theodor Steffen1, Nikolai Avdievich1, and Klaus Scheffler1,2 | ||
1Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Department of Biomedical Magnetic Resonance, Eberhard Karls University Tübingen, Tübingen, Germany |
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Previously, we have shown in simulations that electronically modulated time-varying receive sensitivities can improve parallel imaging reconstruction when fast modulations are applied during acquisition of k-space lines. Here, we demonstrate this concept experimentally with a prototype 8-channel reconfigurable receive coil, for which B1- modulation is achieved by fast switching PIN diodes in the receive loops. With this setup, MR measurements were performed in both phantom and human subject. Lower reconstruction errors and g-factors (~25% improvement for R=4) were observed for the case of rapidly switched sensitivities compared to conventional reconstruction with static sensitivities. |
| 105 | 15:33
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Simultaneous 3D T1- and T2-weighted imaging using RF phase-modulated GRE with retrospective contrast adjustment |
| Daiki Tamada1, Aaron S. Field1,2, and Scott B. Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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A novel method to obtain simultaneous 3D T1- and T2-weighted imaging with retrospective contrast adjustment was developed. Acquisitions are performed using a 3D RF phase-modulated GRE acquisition with a small RF phase increment. After phase correction, real and imaginary components are separated into T2- and T1-weighted images, respectively. Image contrast can also be modified by modulating additional phase into the signals retrospectively. Simulation and in vivo examples are shown. The results suggested the proposed method successfully provides arbitrary image contrasts with clinically acceptable quality and short acquisition time. |
| 106 | 15:45
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Improved Quantification of Ktrans with Cardiac Output Based Correction of Arterial Input Function |
| Artem Mikheev1, Louisa Bokacheva1, Jeff Lei Zhang2, Hersh Chandarana1, Sungheon Gene Kim3, and Henry Rusinek1 | ||
1Department of Radiology, New York University School of Medicine, New York, NY, United States, 2School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 3Department of Radiology, Weill Cornell Medical College, New York, NY, United States |
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The arterial signal in DCE MRI often suffers from the inflow effect, which may cause large errors in the arterial concentration and compartmental model analysis. We implemented a constrained signal-to-concentration conversion using the subject’s cardiac output based on the Stewart-Hamilton principle, which limits the area under the arterial first pass peak. The constrained conversion significantly reduced the variation of the arterial concentration sampled at three levels along the abdominal aorta. The constrained arterial input function resulted in a significantly lower variability of the Tofts model Ktrans in psoas muscle compared to the uncorrected input function. |
| 107 | 15:57
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Inversion Recovery Look-Locker T1-Mapping for Abdominal Imaging: How Many Slices Can One Fit in a Single Breath-Hold? |
| Ute Goerke1, Eze Ahanonu2, Mahesh Keerthivasan3, Ali Bilgin2,4,5, Vibhas Deshpande6, and Maria Altbach4,5 | ||
1Siemens Healthcare USA, Tucson, AZ, United States, 2Department of Electrical Engineering, University of Arizona, Tucson, AZ, United States, 3Siemens Healthineers USA, New York, NY, United States, 4Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 5Department of Medical Imaging, University of Arizona, Tucson, AZ, United States, 6Siemens Healthineers USA, Austin, TX, United States |
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In the inversion-recovery Look-Locker T1-mapping, the use of slice-selective inversion recovery pulse is explored to map the long T1-values of the spleen with as many slices as possible. The optimal slice gap in combination with interleaving the slices was determined. Artifact-free T1-maps of the spleen were obtained after parameter optimization with double the number of slices than using the standard approach in a single breath-hold. This new approach is an important step towards achieving complete coverage of abdominal organs within a single breath-hold. |
| 108 | 16:09
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T2* mapping for Fat and Water images using Two-Point Dixon method with intrinsic B0 updating |
| Tzu-Cheng Chao1, Dinghui Wang1, and James G. Pipe1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States |
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Accurate fat fraction and T2* evaluation offers useful diagnostic information. A data driven B0-update algorithm in conjunction with the Two-Point Dixon method is illustrated in this work, offering efficient computation to improve B0 accuracy to separate fat and water in the multiple TE acquisition. The individual fat and water signals are then used for T2* mapping. The reconstructed parametric maps have comparable quality to those of the existing methods. The results also show that the proposed method requires shorter computation time and is more stable in the presence of an inaccurate reference field map. |
| 109 | 14:45
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Accuracy, Repeatability, and Reproducibility of Regularized Inversions for Abdominal Quantitative Susceptibility Mapping |
| Julia Velikina1, Ruiyang Zhao1,2, Collin J Buelo1,2, Alexey A Samsonov1, Scott B Reeder1,2,3,4, and Diego Hernando1,2 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Medicine, University of Wisconsin-Madison, Madison, WI, United States, 4Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Quantitative susceptibility mapping (QSM) is a promising non-invasive technique for assessment of liver iron concentration (LIC), necessary in a number of diseases. QSM solves an ill-conditioned inverse problem, whose performance depends on the chosen regularization. This work is the first to evaluate the accuracy, repeatability, and reproducibility of liver QSM for two regularized inversion methods in a large patient population with a wide range of LIC. Our results indicate that data-adaptive regularization shows higher correlation with reference LIC values and increases repeatability/reproducibility due to its reduced sensitivity to the field map errors and regularizing effect of anatomical priors. |
| 110 | 14:57
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Free-Breathing Dual-Flip-Angle Multitasking Multi-Echo (MT-ME-dFA) MRI for Whole-Liver, B1+ Insensitive Quantification of T1, PDFF, and R2* |
| Nan Wang1, Fardad M. Serry2, Tianle Cao2, Fei Han3, Yibin Xie2, Xiaodong Zhong3, Sen Ma2, Xiaoming Bi3, Mazen Noureddin2, Shehnaz Hussain4, Vibhas Deshpande5, Anthony G. Christodoulou2, and Debiao Li2 | ||
1Stanford University, Stanford, CA, United States, 2Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Siemens Medical Solutions, Los Angeles, CA, United States, 4University of California, Davis, Davis, CA, United States, 5Siemens Medical Solutions, Austin, TX, United States |
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Quantitative T1, fat fraction, and R2* show promise for characterizing chronic liver diseases. We develop a dual-flip-angle MultiTasking Multi-Echo (MT-ME-dFA) technique to achieve B1+ insensitive, whole-liver joint T1/water-specific T1(T1w), fat fraction(PDFF), and R2* quantification. Respiratory motion is resolved through multidimensional low-rank tensor imaging, and B1+ robustness is achieved by modeling the inversion recovery with two alternating flip angles. Compared to the previously published single-flip-angle MT-ME approach, intra-subject variation on T1/T1w maps was substantially reduced; stronger correlation was achieved for T1/T1w, PDFF and R2* with references on phantom; root-mean-square of intra-subject T1/T1w variation was substantially reduced from 72ms/63ms to 39ms/31ms. |
| 111 | 15:09
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In Vivo High Frame Rate Cartilage Strain During Knee Varus Combining Spiral DENSE MRI and Compressed Sensing |
| Woowon Lee1, Emily Y Miller2, Hongtian Zhu1, and Corey P Neu1,2 | ||
1Paul M. Rady Department of Mechanical Engineering, University of Colorado, Boulder, CO, United States, 2Biomedical Engineering Program, University of Colorado, Boulder, CO, United States |
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Displacement encoding with stimulated echoes (DENSE) MRI is used to calculate pixel-level deformation maps of soft tissues under repetitive motion. It is a powerful technique that can quantify the mechanical behavior of tissues from displacement. We apply spiral DENSE MRI on human knees and obtain multi-frame displacement and strain maps during varus loading, leading to compressive motion on the medial condyle. Since high SNR DENSE images require long scanning time which is costly and less tolerable for participants, we additionally apply compressed sensing (CS) to reduce the imaging time to less than five minutes. |
| 112 | 15:21
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Quantitative 23Na-MRI of the intervertebral disk at 3T |
| Mustafa Cavusoglu1 and Christina Rossi2 | ||
1University of Zurich, Zurich, Switzerland, 2University Hospital Zurich, Zurich, Switzerland |
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Monitoring the tissue sodium content (TSC) in the intervertebral disk geometry by MRI is sensitive measure to diagnose degenerative disk disease (DDD) and of lumbar back pain (LBP) in intervertebral disks. However, application of quantitative sodium concentration measurements in 23Na-MRI is highly challenging due to the lower in vivo concentrations and smaller gyromagnetic ratio. Moreover, imaging the intervertebral disk geometry places higher demands because the necessary RF volume coils produces highly inhomogenous transmit field patterns. In this study, we reported for the first time quantitative sodium concentration in the intervertebral disks at clinical field strengths (3T). |
| 113 | 15:33
|
Comparative Review of Algorithms and Methods for proton-density fat fraction (PDFF) quantification |
| Pierre Daudé1,2, Frank Kober1,2, Sylviane Confort Gouny1,2, Monique Bernard1,2, and Stanislas Rapacchi1,2 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France |
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An open-source toolbox has been implemented to compare state-of-the-art open-source fat-water separation algorithms over synthetic multi-echo data. Data varied in fat-fraction, B0, SNR, number of echoes and echo spacings. Most algorithms proved to be biased for 3 echoes data. For 5 echoes and more, six algorithms were comparable, but two algorithms proved to be inaccurate. Echo spacing scheme impacted quantitative limits of agreements. For proton-density fat-fraction(PDFF) quantification in the extreme ranges, graph-cut approaches provided similar results while IDEAL-CE provided more reliable results. Interestingly, the toolbox also revealed PDFF/T2* quantification to be sensitive to the choice of the fat spectrum. |
| 114 | 15:45
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Pilot Tone-guided focused navigation for free-breathing whole-liver fat-water quantification |
| Adèle LC Mackowiak1, Christopher W Roy1, Mariana BL Falcaõ1, Aurélien Bustin1,2,3, Mario Bacher1,4, Peter Speier4, Davide Piccini1,5, Matthias Stuber1,6, Naïk Vietti-Violi1, and Jessica AM Bastiaansen1,7,8 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3IHU LIRYC, Electrophysiology and Heart Modeling Institute, INSERM U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Université de Bordeaux, Bordeaux, France, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 7Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 8Translational Imaging Center, sitem-insel, Bern, Switzerland |
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A free-breathing 3D radial multi-echo GRE acquisition for whole-liver fat-water separation and quantification was proposed, which integrated retrospective respiratory motion extraction with Pilot Tone and motion-compensated reconstruction with focused navigation. The proposed framework was tested in 10 healthy volunteers at 1.5T. Post-processing of the 8 reconstructed and denoised echoes with a graphcut algorithm provided fat-water separated images and fat fraction maps of isotropic resolution. Images and maps were compared to breath-held reference 3D and 2D Cartesian acquisitions for validation of the quality of both motion compensation and fat-water separation. |
| 115
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15:57
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Free-Breathing, Fat- and B1-corrected T1 Mapping of the Liver with Chemical Shift Encoded 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, 3GE Healthcare, Waukesha, WI, United States, 4GE 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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T1 relaxation is emerging as a quantitative biomarker for the diagnosis and staging of chronic liver disease. Conventional T1 mapping methods such as variable flip angle and Modified Look-Locker Inversion Recovery, fail to address confounding factors such as B1 inhomogeneities, the presence of fat, and motion. In this work, we propose a novel free-breathing T1 mapping method that addresses multiple confounding factors, combining chemical shift encoded MRI, inversion recovery and stack-of-stars sampling strategy for abdominal T1 mapping. |
| 116 | 16:09
|
Free-Breathing Liver QSM with High Isotropic Resolution Using Respiratory Motion-Resolved 3D Multi-Echo Cones MRI |
| MungSoo Kang1,2, Ramin Jafari1, Gerald G. Behr3, Ricardo Otazo1,3, and Youngwook Kee1 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of, 3Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Liver quantitative susceptibility mapping (QSM) can provide a direct measurement of liver iron concentration (LIC). However, respiratory motion and rapid T2* decay are the major challenges in reliable liver QSM. To address these issues a motion-resolved multi-echo 3D cones MRI method with pseudo-random view ordering was implemented, which was then compared with a multi-echo Cartesian GRE sequence in a phantom and healthy volunteer. The proposed motion-resolved cones QSM presented strong motion-robustness in terms of image quality and ROI-based measurements in our phantom and in-vivo studies, demonstrating the feasibility of free-breathing liver QSM. |
| 117
|
14:45
|
Acute Effects of High-Intensity Exercise on Brain Mechanical Properties and Cognitive Function |
| Grace McIlvain1, Emily M Magoon2, Rebecca Clements2, Alexis Merritt2, Lucy V Hiscox3, Hillary Schwarb4, and Curtis L Johnson2 | ||
1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2University of Delaware, Newark, DE, United States, 3University of Bath, Bath, United Kingdom, 4University of Illinois at Urbana-Champaign, Champaign, IL, United States |
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Here we use magnetic resonance elastography (MRE) to quantify brain mechanical properties of 30 individuals aged 19-30 immediately before a high intensity interval training (HIIT) exercise, immediately after exercise, and 1 hour after exercise. We additionally tested subjects’ cognitive performance at these time points through a memory task and two executive function tasks. We found that whole brain stiffness decreased in nearly all subjects immediately after exercise by an average of 4.2% (p<0.0001) and that whole brain damping ratio increased by an average of 3.1% (p=0.001). Performance on all three cognitive tasks improved immediately after exercise (p<0.05). |
| 118 | 14:57
|
Imaging the pulsatile fluid source distribution and pressure gradients in the brain using a poroelastic model and intrinsic pulsatile motions. |
| Matthew McGarry1, John Weaver1,2, and Keith Paulsen1,2 | ||
1Dartmouth College, Hanover, NH, United States, 2Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States |
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The pulsatile tissue motions from the cardiac cycle can be imaged using retrospectively gated phase contrast MRI. Modeling brain tissue as a poroelastic material allows a distribution of pulsatile fluid sources to be computed which reproduce the measured motions by estimating the RHS vector of a finite element representation of the poroelastic system. This Fluid source imaging (FSI) represents a completely new type of image parameterization that could offer unique diagnostic signatures. The associated pressure field gradients are also the driving force for interstitial fluid movement, where disruptions are thought to cause buildup of waste products which leads to dementia. |
| 119
|
15:09
|
Influence of hepatic tissue water content on MRE-based biomarkers in clinical and preclinical studies |
| Jiahui Li1, Zheng Zhu1, Jingbiao Chen1, Alina M Allen2, Sudhakar K. Venkatesh1, Taofic Mounajjed3, Kevin J. Glaser1, Armando Manduca1, Vijay H. Shah2, Richard L. Ehman1, and Meng Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3Anatomic Pathology, Mayo Clinic, Rochester, MN, United States |
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The water in hepatic tissue has intracellular, extracellular matrix bound, and extracellular interstitial free fluid components, which are affected by inflammation and fibrosis. This study assessed longitudinal changes in MRE-based biomarkers and their relationship with hepatic water content in clinical and preclinical models. In clinical studies, MRE-assessed loss modulus (LM) was elevated in obese patients and in NAFLD patients with severe inflammation. In preclinical models, changes in LM correlated with water content and disease progression in non-NAFLD mice. LM significantly increased with the development of NASH. MRE-assessed viscoelasticity strongly reflects extracellular free fluid associated with inflammation. |
| 120 | 15:21
|
Microvascular invasion in patients with hepatocellular carcinoma: assessment with compression MR elastography |
| Gwenaël Pagé1, Philippe Garteiser1, Valérie Paradis2, Ralph Sinkus3, Valérie Vilgrain1,4, and Bernard E. Van Beers1,4 | ||
1Laboratory of imaging biomarkers, INSERM UMR 1149, Paris, France, 2Center for research on inflammation, INSERM UMR 1149, Paris, France, 3Laboratory for vascular translational science, INSERM UMR 1148, Paris, France, 4Department of Radiology, University Hospital Paris Nord, Clichy, France |
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The aim of this study was to investigate the value of compression MR elastography to assess microvascular invasion in hepatocellular carcinomas. MR elastographic and T2-weighted images were acquired at end expiration and end inspiration in 52 patients with hepatocellular carcinomas. The storage and loss moduli at inspiration did not differ between tumors with/without microvascular invasion. However, the compression stiffening rate, derived from the increase of tumor storage modulus between expiration and inspiration, had good diagnostic performance (area under the receiver operating characteristic curve 0.85) in detecting microvascular invasion. |
| 121 | 15:33
|
Self-Navigated Radial Free-Breathing Magnetic Resonance Elastography of the Liver with Rapid Motion Encoding in Children at 3T |
| Sevgi Gokce Kafali1,2, Bradley D. Bolster Jr.3, Shu-Fu Shih1,2, Grace J. Kim1, Joanna Yeh4, Robert S. Venick4, Shahnaz Ghahremani1, Kara L. Calkins4, 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, 3MR Collaborations, Siemens Medical Solutions, Inc., Salt Lake City, UT, United States, 4Pediatrics, University of California, Los Angeles, Los Angeles, CA, United States |
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Hepatic stiffness measured by magnetic resonance elastography (MRE) is a biomarker for hepatic fibrosis. Conventional Cartesian gradient-echo MRE requires breath-holding (BH), which can be challenging for children. While radial free-breathing (FB) MRE overcomes the challenge of BH, the scan time is relatively longer (163 seconds/slice). This study’s objective was to reduce radial FB-MRE scan time by a factor of two with rapid motion encoding (81 seconds/slice) and to improve robustness by performing self-navigated motion compensation. Compared to Cartesian BH-MRE in children at 3T, the proposed rapid radial FB-MRE technique quantified hepatic stiffness with close agreement and similar repeatability. |
| 122
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15:45
|
Early tumour response to radiotherapy assessed by magnetic resonance elastography |
| Clementine Lesbats1, Upasana Roy1, Emma L. Reeves1, Jessica K. R. Boult1, Yann Jamin2, Craig Cummings1, James Sullivan3, Ralph Sinkus4, Erik Wennerberg1, and Simon P. Robinson2 | ||
1Division of Radiotherapy & Imaging, The Institute of Cancer Research, Sutton, United Kingdom, 2The Institute of Cancer Research, Sutton, United Kingdom, 3The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 4School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Radiotherapy is widely used to treat cancer. In this study, we used MR elastography to evaluate early tumour response to radiation therapy. A significant increase in stiffness |G*| and elasticity Gd were determined 3 days after orthotopic 4T1 breast tumours were irradiated with a single 8Gy dose, compared to untreated control tumour-bearing mice. The increase in tumour stiffness was associated with an increased macromolecule pool measured by magnetisation transfer, and increased collagen deposition observed histologically. |
| 123 | 15:57
|
Feasibility of compressed sensing accelerated Ristretto magnetic resonance elastography in the pancreas |
| Anne-Sophie van Schelt1, Nienke P.M. Wassenaar1, Jurgen H. Runge1, Jules L. Nelissen1, Marian Troelstra1,2, Christian Guenthner3, Ralph Sinkus2,4, Jaap Stoker1, Aart J. Nederveen1, and Eric M. Schrauben1 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC location AMC, Amsterdam, Netherlands, 2Department of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom, 3Department of Biomed, ETH Zurich, Zurich, Switzerland, 4Inserm U1148, LVTS, Univeristy Paris Diderot, Paris, France |
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Magnetic resonance elastography (MRE) allows for non-invasive determination of pancreatic visco-elastic properties in four consecutive breath-holds. The aim of this study was to develop and test a single breath-hold MRE acquisition accelerated using prospective undersampling and compressed sensing (CS) reconstruction. Testing was done on a retrospective undersampled phantom dataset and in-vivo. These showed that CS accelerated (R< 8.7), single breath-hold MRE is feasible without hampering visco-elastic reconstruction in tissues with low shear stiffness (|G*|<1.6kPa). Further research is necessary to guarantee accuracy of the measured shear stiffness, notably for high stiffness tissues such as tumors, and at higher acceleration factors. |
| 124 | Pitch: 14:45 Poster: 14:47 Plasma 16
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GraspCEST: Fast Free-Breathing 3D Steady-State CEST MRI Using Golden-Angle Radial Sparse MRI |
| Xiang Xu1, Ding Xia1, Kai Tobias Block2, and Li Feng1 | ||
1Department of Radiology and BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R) and Department of Radiology, New York University School of Medicine, New York, NY, United States |
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In this project, we proposed a fast 3D CEST MRI technique called GraspCEST, which is based on the combination of CEST-prepared stack-of-stars golden-angle radial sequence and multicoil compressed sensing reconstruction. Using this technique, we were able to perform lipid suppressed, free-breathing 3D CEST imaging of the liver. We have demonstrated that it is possible to accelerate imaging speed and achieve full Z-spectra acquisition of the liver within 5 min. The GraspCEST technique can be a useful tool in studying glycoNOE in the liver. |
| 125 | Pitch: 14:47 Poster: 14:49 Plasma 17
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Acquisition and data processing considerations in functional metabolic imaging using CEST |
| Solène Bardin1,2, Fawzi Boumezbeur1,2, and Luisa Ciobanu1,2 | ||
1NeuroSpin, CEA, Gif-sur-Yvette, France, 2Paris-Saclay University, Gif-sur-Yvette, France |
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Accelerated acquisitions with a CEST-linescan sequence coupled with the estimation of the local baseline for the analysis of the Z-spectra allow to simultaneously monitor dynamic changes at several CEST contributions induced by a controlled pH decrease. This approach can be a promising strategy for detecting functional induced metabolic changes devoid of confounding BOLD effects. |
| 126 | Pitch: 14:49 Poster: 14:51 Plasma 18
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Predicting radionecrosis and recurrent disease through Amide Proton Transfer weighted imaging in brain metastases |
| Lucia Nichelli1,2, Julian Jacob3, Delphine Leclerq1, Farhat Benbelkacem4, Stéphane Lehéricy1,2, and Stefano Casagranda5 | ||
1Department of Neuroradiology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles-Foix, Sorbonne Université, Paris, Paris, France, 2Paris Brain Institute – Institute du Cerveau (ICM), Centre de NeuroImagerie de Recherche (CENIR), F-75013, Paris, France, 3Department of Radiation-Oncology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles-Foix, Sorbonne Université, Paris, France, 4Siemens Healthcare SAS, Saint-Denis, Paris, France, 5Department of Research & Innovation, Olea Medical, La Ciotat, France |
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Distinguishing tumor recurrence from radionecrotic injury of pre-irradiated brain metastases is fundamental to provide optimal patient care. Unfortunately, this distinction is often hard to make even with advanced MRI multimodal protocols. This study aims to evaluate APTw imaging in predicting the differentiation between radio-induced tissue changes from tumor progression at 3T in 20 pre-irradiated metastases. Results show that APTw metrics can significantly separate these two common radiological entities (p<0.0001) and suggest the use of fluid-suppressed APTw to reach higher discriminating values. |
| 127 | Pitch: 14:51 Poster: 14:53 Plasma 19
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Deep-Bloch Simulator Driven Recurrent Neural Network for Reliable Semisolid Magnetization Transfer Contrast MRF and CEST Imaging |
| Munendra Singh1, Babak Moghadas1, Shanshan Jiang1, Peter van Zijl1, Jinyuan Zhou1, and Hye-Young Heo1 | ||
1Johns Hopkins University, Baltimore, MD, United States |
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High-resolution MRF including a multi-pool saturation transfer model requires a huge dictionary or training dataset simulated with Bloch equations. Furthermore, intensive Bloch simulation tasks are inevitable for MRF schedule optimization. In this study, we developed a deep-learning-based ultrafast Bloch simulator and a recurrent neural network (RNN) for semi-solid macromolecular magnetization transfer contrast (MTC) MRF reconstruction. For the MRF training dataset generation, the deep-learning Bloch simulator required ~200x less time than a conventional Bloch simulation. A test-retest study showed excellent reliability of the tissue parameter quantification using the proposed RNN framework. |
| 128
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Pitch: 14:53 Poster: 14:55 Plasma 20
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Monitoring glucose uptake and metabolism in human kidney with dynamic 3D DMI at 7 T |
| Ayhan Gursan1, Arjan D. Hendriks1, Dimitri Welting1, Dennis W.J. Klomp1, and Jeanine J. Prompers1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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Kidneys play a crucial role in glucose homeostasis via glucose reabsorption and glucose release into and glucose uptake from the circulation. We investigated the feasibility of measuring renal glucose uptake and metabolism with dynamic 3D DMI. A volunteer was scanned twice with two different ways of deuterated glucose administration: in the scanner and before scanning session. Similar glucose uptake was observed in the kidney and liver. We demonstrated the feasibility of measuring renal glucose uptake and metabolism with dynamic 3D DMI. This technique has potential to study the role of renal glucose uptake in glucose homeostasis in diabetes. |
| 129 | Pitch: 14:55 Poster: 14:57 Plasma 21
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Curve shape analysis of dynamic glucose enhanced (DGE) and dynamic contrast enhanced (DCE) MRI in patients with brain tumor |
| Anina Seidemo1, Ronnie Wirestam1, Gunther Helms1, Karin Markenroth Bloch2, Xiang Xu3,4, Johan Bengzon5,6, Pia C. Sundgren2,7,8, Peter C.M. van Zijl3,9, and Linda Knutsson1,3,9 | ||
1Department of Medical Radiation Physics, Lund University, Lund, Sweden, 2Lund University Bioimaging Center, Lund University, Lund, Sweden, 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Lund Stem Cell Center, Department of Clinical Sciences, Lund University, Lund, Sweden, 6Division of Neurosurgery, Department of Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden, 7Department of Medical Imaging and Physiology, Skåne University Hospital, Lund and Malmö, Sweden, 8Diagnostic Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden, 9F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Dynamic glucose-enhanced (DGE) MRI provides time intensity curves after D-glucose injection and is promising as a less invasive alternative or complement to dynamic contrast-enhanced (DCE) MRI. Here, we calculated non-model-based parameter maps from DGE and DCE MRI of human brain tumors, and created color-coded “curve maps”, a graphic representation of different curve shapes, to further investigate temporospatial enhancement patterns. The results show that DGE MRI can differentiate tumor from healthy brain tissue, that DGE and DCE give similar but not identical information, and that the proposed curve map approach has potential to aid in visual assessment of dynamic images. |
| 130 | Pitch: 14:57 Poster: 14:59 Plasma 22
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Observation of 2H labeled compounds in the human brain with 1H versus 2H magnetic resonance spectroscopy at 9.4T |
| Loreen Ruhm1,2,3, Theresia Ziegs1,2, Andrew Wright1,2, Nikolai Avdievich1, and Anke Henning1,3 | ||
1Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University of Tuebingen, Tuebingen, Germany, 3Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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The tracing of glucose metabolism is of interest in many pathologies of the human brain. In this abstract, we compare the information content of 2H MRSI detected deuterium metabolic imaging (DMI) to quantitative exchanged-labeled turnover 1H MRS (QELT), both measured at B0 = 9.4 Tesla. An uptake of 2H labeling was detectable for different metabolites for both methods. Consistent changes in 2H labeled Glx after the oral administration of [6,6’-2H2]-glucose were detected in the brain of healthy human subjects. |
| 131 | Pitch: 14:59 Poster: 15:01 Plasma 23
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Longitudinal 23Na MRI in mild traumatic brain injury |
| Teresa Gerhalter1, Anna M Chen1, Seena Dehkharghani1,2, Rosemary Peralta1, James S. Babb1, Tamara Bushnik3, Alejandro Zarate3, Jonathan M Silver4, Brian S Im3, Stephen P Wall5, Ryan Brown1,6, 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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In this longitudinal sodium MRI study, mild traumatic brain injury (mTBI) patients and controls were scanned at 3T. Linear regression analysis was used to calculate total sodium concentrations (TSC) in global grey and white matter (GM, WM). Patient GM TSC increased back to control levels at 3-month and 1-year follow-ups. Decreased GM and WM TSC measured at one month were associated with worse cognitive performance, but not worse symptomalogy, at the follow-up visits. |
| 132 | Pitch: 15:01 Poster: 15:03 Plasma 24
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A method to increase the resolution of sodium images from simultaneous 1H MRF/23Na MRI |
| Gonzalo G Rodriguez1, Zidan Yu1,2, Lauren O'Donnell1, Liz Calderon1, Sarah Shaykevich2, Martijn A Cloos3,4, and Guillaume Madelin1,2 | ||
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 algorithm to generate a high-resolution 23Na image from simultaneously-acquired low-resolution 23Na density-weighted MRI (2.85×2.85×5 mm3) and high-resolution 1H density, T1, and T2 maps from MRF (1.5×1.5×5 mm3) in brain at 7 T. As a result, the mean value of the difference between the generated and ground truth high-resolution 23Na images is 0.5% with a standard deviation of 6.2% and multi-scale structural similarity index of 0.97. |
| 133 | Pitch: 15:05 Poster: 15:07 Plasma 25
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High-Resolution Compressed Sensing 19F-MRI Reveals Progression of Neuroinflammation in Autoimmune Encephalomyelitis |
| Ludger Starke1,2, Paula Ramos Delgado1, Jason M. Millward1, Sabrina Klix1, Thoralf Niendorf1,3, and Sonia Waiczies1 | ||
1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Digital Health Center, Hasso Plattner Institute, Potsdam, Germany, 3Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany |
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Improving sensitivity has been the major challenge towards realizing the promises of 19F-MRI. Here we combine a cryogenic surface RF probe and compressed sensing to achieve high spatially resolved 19F-MRI of neuroinflammation in a challenging longitudinal study. Inflammation in the CNS was observed even in the absence of neurological symptoms and detailed signals along the CNS vasculature are clearly resolved. Together with effective longitudinal registration this allows an in-depth study of disease progression. |
14:45
|
All-in-One CMR: Free-Running Multi-Contrast Data Acquisition | |
| Anthony Christodoulou | ||
| Cedars Sinai Medical Center | ||
15:09
|
AI Enabled Image Processing Pipeline for CMR | |
| Esther Puyol Anton | ||
| King's College London | ||
15:33
|
Healthcare Economics in CMR | |
| Steffen Petersen | ||
| Queen Mary University | ||
15:57
|
Lessons Learned from CMR Tissue Characterization | |
| Martin Ugander | ||
| University of Sydney, Australia | ||
16:21
|
Replacing Late Gadolinium Enhancement With Artificial Intelligence | |
| Vanessa Ferreira | ||
| Oxford University | ||
17:00
|
Heart & Brain: Physiology, Cerebrovascular Reactivity & Perfusion | |
| Claudine Gauthier1 | ||
1Concordia University, Montreal, QC, Canada |
17:20
|
The Central Autonomic Network in Health | |
| Nicola Toschi1 | ||
1University of Rome "Tor Vergata", Rome, Italy |
17:40
|
Functional Connectivity & Brain Perfusion: Cardiorespiratory brain pulsations | |
| Vesa J. Kiviniemi1 | ||
1University of Oulu, Oulu, Finland |
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A century after the detection of three pulsation mechanisms in the human brain during neurosurgical procedures, ultrafast fMRI enables exact depiction of the vasomotor waves, respiratory and cardiac pulsations non-invasively. Arterial blood impulses and respiration induced venous pulsations form continuosly propagating CSF waves that flush brain paravascular spaces and drive the glymphatic solute transport. Sleep increases all these pulsations in areas of increased brain interstiatial flushing. Brain diseases such as Alzheimer's disease, epilepsy, and PCNSL invading the perivascular space, significantly alter the pulsation dynamics of the brain, which enables direct visualization of individual pathology with ultrafast BOLD scans. |
18:00
|
Brain MRI Signal Changes Due to Cardiac Disease in Aging | |
| Fang Frank Yu1 | ||
1UT Southwestern Medical Center, Dallas, TX, United States |
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The heart and the brain are intimately linked. Herein, we review the changes in the brain as we age that can be detected using clinical MRI, and how they relate to cardiovascular disease. Additionally, we will review imaging techniques including diffusion imaging for tissue microstructure and quantitative susceptibility mapping for iron accumulation as it relates to these neurologic changes. |
18:20
|
Role of MRI to Examine Brain Structural, Metabolic, Hemodynamic, and Functional Deficits in Adults After Heart Failure | |
| Rajesh Kumar1 | ||
1Anesthesiology, Radiology, and Bioenginnering, University of California at Los Angeles, Los Angeles, CA, United States |
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Novel MRI procedures and analytical methods offer a unique opportunity to assess the brain structural, metabolic, hemodynamic, blood brain barrier, resting-state functional connectivity, and functional responses to autonomic challenges status in heart failure (HF) subjects. In a series of experiments in patients with HF, we characterized brain injury, abnormal metabolites, hemodynamics, resting-state functional connectivity, and abnormal functional responses to autonomic challenges, in autonomic, mood, and cognitive control sites, functions that are deficient in HF. Also, potential pathological mechanisms, including compromised CBF and BBB function, contributing to brain damages in HF will be discussed. |
18:40
|
Brain MRI Signal Changes in Autonomic Dysfunction (Multiple System Atrophy, Hypotension, Dysautonomia) | |
| Stephen E. Jones1 | ||
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States |
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The first step of understanding the neuroimaging of autonomic function is to focus on normal subjects with normal brains, and then investigate the structural and functional correlates of the autonomic system. The next step is to investigate diseases affecting the autonomic system, namely those causing dysautonomia. This step may be even more revealing than normal subjects, since often the understanding of disease helps to better define normal function. This presentation will provide multiple examples of diseases associate with either primary or secondary dysautonomia. Examples include multiple systems atrophy (MSA), multiple sclerosis, tumors, stroke, and epilepsy. |
17:00
|
Classification of Vascular Anomalies & Role of MRI | |
| Oscar Navarro 1 | ||
1Sick Kids Toronto, Canada |
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Vascular anomalies are common in children. Using the classification proposed by the International Society for the Study of Vascular Anomalies (ISSVA), they can be categorized into two large groups: vascular tumors and vascular malformations. MRI is used in a minority of cases but provides useful information for diagnosis, treatment monitoring and assessment of associated anomalies, especially overgrowth. MRI relies on the use of T1 and T2 (usually with fat suppression) sequences as well as contrast-enhanced angiography and contrast-enhanced fat-suppressed T1 sequences. Correlation with clinical information is crucial for appropriate interpretation of MRI findings. |
17:30
|
Case-Based Review of Vascular Anomalies | |
| Maliha Sadick1 | ||
1Clinic for Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany |
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Introduction:Vascular Malformations represent a rare disease. The most common vascular anomalies include venous (VM), lymphatic (LM), arteriovenous (AVM) and combined malformations (CM).MRI in Slow-Flow and Fast-Flow Vascular Malformations:VMs are hyperintense lesions in Multiplanar Turbo Inversion Recovery Magnitude (TIRM) or T2-weighted TurboSpinEcho (T2 TSE) imaging. In late T1Vibe the full extent and patency of the VM is displayed.LMs appear as hyperintense cysts with/without septation in T2-weighted TSE sequences.AVMS are characterized by flow voids. MR-Time-resolved Angiography With Interleaved Stochastic Trajectories is mandatory for depiction of flow dynamics and shunting.Conclusion:MRI-morphology of vascular malformations decides on treatment. |
18:00
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Overview of Lymphatic Disorders | |
| Susanna Guerrini1 | ||
1University of Siena, Italy |
18:30
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In Practice: MR Lymphography Service & Case Review | |
| David M Biko1 | ||
1Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States |
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Imaging of the central lymphatic system can be performed using non-contrast T2 weighted lymphangiography and dynamic contrast enhanced lymphangiography (DCMRL) via an intranodal, intrahepatic, or intramesenteric approach. This talk will describe lymphatic anatomy, imaging techniques, and lymphatic flow disorders such as plastic bronchitis and protein losing enteropathy. |
17:00
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What Researchers Think About the Culture They Work In and What's Up Next | |
| Shomari Lewis-Wilson1 | ||
1Wellcome, United Kingdom |
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In 2020 Wellcome launched an ambitious programme of work to understand how researchers feel about the cultures they work in. A consultation featuring <4,300 researchers was conducted, followed by 30 ‘townhall’-style events across the UK. Results indicated that 84% of researchers are proud to work in research but only 29% feel secure in pursuing this career. Women were also more likely to have experienced bullying or harassment (49%) than men (34%). The report provided evidence of widespread problems in research culture, and is being used by Wellcome as a touchpoint for solutions that will make careers in research more sustainable. |
17:20
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Driving Institutional Change: Measurements & Outcomes | |
| Amy M Young1 | ||
1University of Michigan, United States |
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The science of organizational flourishing identifies ways in which research communities can expand the wellbeing and success among all of their members. Drawing from Positive Organizational Scholarship (POS), a subfield within Organizational Science, Dr. Young speaks on the principles behind organizational flourishing that enables the expansion of human capabilities, collective spirit and inclusivity. Dr. Young also provides metrics and assessment tools that can be used to inform, monitor and evaluate positive change in research organizations and communities. |
17:40
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Reward & Recognition for All Career Paths | |
| Shawna Farquharson1 | ||
1The Florey Institute of Neuroscience & Mental Health, Australia |
17:50
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Change in a Multi-Cultural Research Landscape | |
| Johnes Obungoloch1 | ||
1Mbarra University of Science and Technology, Uganda |
18:00
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Culture Clash: Navigating Differences in Clinical & Academic Culture | |
| Matthew Bucknor1 | ||
1University of California, San Francisco, United States |
18:10
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Driving Change as an Early-Career Researcher | |
| Yolanda Ohene1 | ||
1Biology, Health and Medicine, University of Manchester, Manchester, United Kingdom |
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Perspective of an early career researcher driving change in the field through grassroots organisation. |
18:20
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Change from the Top: The Dean & Funder’s Perspective | |
| Roderic Ivan Pettigrew1 | ||
1School of Engineering Medicine, Texas A&M University and Houston Methodist, Houston, TX, United States |
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Dr Pettigrew will explore modern Research Culture from the perspective of institutional leadership. He will discuss his experiences of high-level change in creating the US’s first educational programme fully integrating engineering and medicine. As founding Director of NIBIB (2002-17), he will also consider the role funding bodies can and should play in nudging change in higher-educational institutions. |
18:30
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Live demos: Systems and Components |
| 134 | 17:00
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Neuronal Response to Transcranial Direct Current Stimulation (tDCS) in Multiple Sclerosis |
| Marco Muccio1, Lillian Walton Masters2, Giuseppina Pilloni2, Lauren Krupp2, Abhishek Datta3, Marom Bikson4, Leigh Charvet2, and Yulin Ge1 | ||
1Radiology, NYU Grossman School of Medicine, New York City, NY, United States, 2Neurology, NYU Grossman School of Medicine, New York City, NY, United States, 3Soterix Medical Inc., New York City, NY, United States, 4Department of Biomedical Engineering, City College of New York, New York City, NY, United States |
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Transcranial direct current stimulation (tDCS) represents an innovative therapeutic tool for neurological diseases such as multiple sclerosis (MS). In this study, MRI measurements of cerebral blood flow (CBF), venous oxygenation (Yv) and cerebral metabolic rate of oxygen (CMRO2) of MS patients and healthy controls (HCs) were acquired pre-, during- and post-tDCS to investigate its simultaneous effects. Whilst HCs showed an immediate increase (~5%) in CMRO2 (during- versus pre-tDCS, p<0.001), MS patients showed a delayed response to tDCS (7.7% CMRO2 increase pre- versus post-tDCS; p=0.007). We suggest that neuronal response to tDCS represents a potential biomarker of neuronal plasticity. |
| 135 | 17:12
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Longitudinal Changes of White Matter Hyperintensities Following Hemodialysis Initiation in Old Adults: A Prospective Pilot Study |
| Xiufeng Li1, Gregory J. Metzger1, and Anne M. Murray2,3,4 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Hennepin HealthCare Research Institute, Hennepin Healthcare, Minneapolis, MN, United States, 3Department of Medicine, University of Minnesota, Minneapolis, MN, United States, 4Geriatrics Division, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, United States |
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Repeated conventional hemodialysis may result in permanent cerebrovascular dysfunction that can initiate and exacerbate other cerebral structural abnormalities. Until today, the longitudinal WMH burden changes in old end-stage renal disease (ESRD) patients following the initiation of hemodialysis treatment have not been specifically studied. We performed a prospective pilot study with a hypothesis that WMH burden increases following the initiation of hemodialysis in old ESRD patient. Our study results suggested that WMH burdens increased significantly after the initiation of hemodialysis treatment. |
| 136
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17:24
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Increased oxygen extraction fraction following acute multiple sclerosis (MS) lesion formation is associated with increased myelin repair. |
| Junghun Cho1, Thanh D Nguyen1, Lily Zexter1, Elizabeth M Sweeney2, Pascal Spincemaille1, Ajay Gupta1, Susan A Gauthier1, and Yi Wang1,3 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Population Health Sciences, Weill Cornell Medicine, New York, NY, United States, 3Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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Understanding the cause and progress of remyelination in MS is critical for developing potential therapeutic targets of remyelination to restore neural connectivity and brain functions. In this study, we utilized a novel MRI-based oxygen extraction fraction (OEF) mapping method, namely “QQ”, and found that early lesion oxygen metabolism increase, as measured by QQ-based OEF, is positively associated with lesion myelin recovery, as measured by myelin water fraction. This study suggests that QQ-based OEF mapping may be a useful tool readily and widely available for studying MS lesion oxygen metabolism and its association with MS lesion remyelination. |
| 137
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17:36
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Imaging multiple sclerosis histopathology using susceptibility source separation: a postmortem brain study |
| Hyeong-Geol Shin1, Riccardo Galbusera2,3, Jincheol Seo4, Sooyeon Ji1, Erik Bahn5, Jonas Franz5, Christine Stadelmann-Nessler5, Po-Jui Lu2, Jinhee Jang6, Youngjeon Lee4, Cristina Granziera2, and Jongho Lee1 | ||
1Department of Electrical and Computer engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland, 3MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 4National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Korea, Republic of, 5Institute of Neuropathology, University Medical Center, Göttingen, Germany, 6Seoul St Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of |
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The pathology of multiple sclerosis (MS) is highly correlated with the dynamics of two susceptibility sources, paramagnetic iron and diamagnetic myelin. Various MRI methods sensitive to the substances have been developed for MS pathology. However, the collective effects of iron and myelin to an MRI signal have hampered monitoring individual changes of the substances. Here, we evaluated the effectiveness of 𝜒-separation, which estimates individual contributions of para-/dia-magnetic susceptibility, for visualizing MS pathology-related iron/myelin changes. The resulting paramagnetic and diamagnetic susceptibility conform to the histopathological features of MS lesion (iron-rim in Perls staining, and re-/de-myelinated lesions in myelin basic protein staining). |
| 138 | 17:48
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Looking for a differential vulnerability of specific thalamic nuclei in multiple sclerosis |
| Simon Blyau1, Ismail Koubiyr1, Pierrick Coupé2, Manoj Saranathan3, Julie Charré-Morin4, Aurore Saubusse4, Valentin Prevost5, Bei Zhang6, Mathilde Deloire4, Bruno Brochet1, Aurélie Ruet1, and Thomas Tourdias1 | ||
1Neurocentre Magendie, Bordeaux, France, 2Laboratoire Bordelais de Recherche en Informatique, TALENCE, France, 3University of Arizona, Tucson, AZ, United States, 4Neurology Department, Hopital Pellegrin, Bordeaux, France, Metropolitan, 5Canon Medical System Corporation, Tochigi, Japan, 6Canon Medical System Europe, Paris, France |
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Thalamus is one of the first grey matter structure affected in multiple sclerosis (MS). It could undergo a differential vulnerability predominating on nuclei closer to the third ventricle due to pro-inflammatory factors brought by cerebrospinal fluid.First, we validated an atlas-based segmentation method that enables thalamic segmentation over conventional T1 weighted images. Then, using this segmentation method, we brought evidence for a medio-lateral gradient of thalamic atrophy in MS. While less affected, the anterior group was found useful to distinguish cognitively preserved from cognitively impaired patients. This paves the way toward more thalamic nuclei analyses in MS as new biomarkers. |
| 139
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18:00
|
Lesion-specific Metabolic Fingerprinting in Relapsing-Remitting Multiple Sclerosis via 7T Magnetic Resonance Spectroscopic Imaging |
| Alexandra Lipka1, Eva Heckova1, Assunta Dal-Bianco2, Gilbert Hangel1,3, Paulus S. Rommer2, Bernhard Strasser1, Stanislav Motyka1, Lukas Hingerl1, Thomas Berger2, Petra Hnilicová4, Ema Kantorová5, Fritz Leutmezer2, Egon Kurča5, 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, Vienna, Austria, 3Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 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, 6Karl Landsteiner Institute for Clinical Molecular MRI in Musculoskeletal System, Vienna, Austria |
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Conventional T1/T2-weighted magnetic resonance imaging (cMRI) is the method of choice for diagnosis and treatment monitoring of multiple sclerosis (MS), though not being able to explain underlying pathological processes. In contrast to cMRI-lesions, which only reflect the severity of irreversible tissue damage, MR Spectroscopic Imaging (MRSI) can detect pathologies on a biochemical level. In 51 relapsing-remitting (RRMS) patients, we investigate - enabled through ultra-high resolution FID-MRSI at 7T - the metabolic distribution within lesions and their vicinity as well as their location dependency and correlation to T1-hypointensity. |
| 140
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17:00
|
Mechanism of recovery following stem cell therapy in ischemic stroke: cell or secretome? |
| Shannon Helsper1,2, Xuegang Yuan3, Richard Jeske2, Li Sun4, David G. Meckes Jr.4, Yan Li2, and Samuel C. 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, 3University of California, Los Angeles, CA, United States, 4Department of Biomedical Sciences, Florida State University, Tallahassee, FL, United States |
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This study interrogates human mesenchymal stem cell (hMSC) derived treatments (cells versus secretome) in a preclinical transient ischemic stroke model. Biochemical markers of tissue recovery measured longitudinally over 21 d via sodium chemical shift imaging and proton relaxation-enhanced MR spectroscopy demonstrated that the arterial injection of extracellular vesicles produced in vitro by hMSC improved outcomes over ischemic stroke, albeit not to the level of direct cellular implantation. For the first time, novel MRI-compatible labeling provided the initial visualization of biodistribution and estimated permanence of hMSC-derived extracellular vesicles in the ischemic brain. |
| 141 | 17:12
|
Cortical thickness at 3 years post-ischemic stroke: seeking vascular imaging signatures |
| Mohamed Salah Khlif1, Emilio Werden1, Laura Bird2, Natalia Brumley-Egorova1, and Amy Brodtmann1 | ||
1The Florey Institute of Neuroscience and Mental Health, Parkville, Australia, 2Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia |
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Cortical thinning has been used both for diagnosis and disease monitoring. Few studies have examined longitudinal changes in cortical thickness following ischemic stroke. We compared cortical thinning, vortex-wise and region-wise, between ischemic stroke survivors and stroke-free control participants at 3 months and 3 years post-stroke using linear mixed-effect regression and correcting for age and sex. At 3 years, there was widespread cortical thinning in ischemic stroke, especially in the ipsilesional cortex, in lobes implicated in motor, sensory, and memory processing and recovery. |
| 142 | 17:24
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Acute Ischemic Stroke: Infarct Core Estimation from Threshold-based DWI Delineation Depends on the DWI protocol |
| Jonathan Rafael-Patiño1,2, Elda Fischi-Gomez1, Sebastian Otálora3, Veronica Ravano1,2,4, Guillaume Saliou1, Steven David Hajdu1, Tobias Kober1,2,4, Roland Wiest3, Patrik Michel5, Richard McKinley3, and Jonas Richiardi1 | ||
1Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne., Lausanne, Switzerland, 2LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital., Bern, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG., Lausanne, Switzerland, 5Stoke Center, Neurology Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland |
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In acute stroke assessment, reference clinical trials such as DEFUSE-3 use absolute thresholds on ADC maps to define the infarct core. Yet, the variance of ADC values, but not the mean, change with the number of diffusion directions and the specific directions in a 4-directions sampling scheme. The resulting shifts in ADC distribution tails result in an overestimation of the infarct core. This has implications for multi-centric trials, where infarct sizes and locations may be biased simply due to diffusion protocol differences and/or different head positions with respect to B0. |
| 143 | 17:36
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Heterogeneous diffusivity changes within human stroke lesions measured with oscillating gradient spin echo diffusion MRI |
| Mi Zhou1, Robert Stobbe1, Brian Buck2, Ken Butcher2, Paige Fairall2, Annie Boyd1, Derek Emery3, Thorsten Feiweier4, and Christian Beaulieu1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Neurology, University of Alberta, Edmonton, AB, Canada, 3Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada, 4Siemens Healthcare GmbH, Erlangen, Germany |
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Short diffusion time oscillating gradient spin echo (OGSE) showed less water diffusion reduction in acute human stroke lesions (n=28) than the typical clinically used long diffusion time pulsed gradient spin echo (PGSE) method. The diffusion time dependency is far greater in ischemic lesions, particularly white matter, than in contralateral healthy brain. These effects were heterogeneous across the lesion with larger OGSE-PGSE differences in regions indicative of larger axons. The range of MD decrease in lesions across patients as measured with OGSE and PGSE showed a linear correlation and is consistent with concomitant axon beading and swelling implied from prior simulations. |
| 144 | 17:48
|
Sensing brain plasticity after stroke using magnetic resonance elastography |
| Giacomo Annio1,2, Gabrielle Mangin1, Marco Barbero-Mota1, Giuseppina Caligiuri1, Antonino Nicoletti1, Katharina Schregel3, and Ralph Sinkus1,4 | ||
1INSERM UMRS1148 - Laboratory for Vascular Translational Science, University Paris, Paris, France, 2School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 3Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 4School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Stroke is the leading cause of death globally. The infarcted area undergoes a deprivation of oxygen and energy, followed by multiple transient events and reorganization processes called ischemic cascade. MRI is the reference tool for accurate diagnosis, volumetric assessments and age determination of the lesion. The aim of the present study was to investigate the time course of changes in tissue biomechanics after an ischemic event in mice using MRE and study the relationship between stroke volume and tissue biomechanics, to explore a potential role of MRE in assessing the post stroke recovery. |
| 145 | 17:00
|
High Spatiotemporal Resolution Breast MR Increases Cancer Detection and Reduces Unnecessary Biopsies in Patients with Marked BPE |
| Sarah Eskreis-Winkler1, Linden Dixon1, Ragni Jindal1, Janice Sung1, Kimberly Feigin1, Elizabeth J. Sutton1, Danny Martinez1, and Katja Pinker1 | ||
1Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Contrast-enhanced breast MRI is a powerful tool for breast cancer detection, but can be limited in the setting of marked background parenchymal enhancement (BPE), which can mask underlying lesions. We found that among patients with marked BPE, positive predictive value (PPV2) and cancer detection rate (CDR) were statistically significantly increased when the high spatial/high temporal resolution protocol, rather than the standard protocol, was used. The interval cancer rate was not significantly different between these groups. |
| 146 | 17:12
|
Detection of Prostate Cancer using Diffusion-Relaxation Correlation Spectrum Imaging with Support Vector Machine Model – A Feasibility Study |
| Xiaobin Wei1, Guangyu Wu1, and Ke Xue2 | ||
1Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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For clinical prostate examination, magnetic resonance imaging (MRI) is a significant imaging modality. In this study, the feasibility of diffusion-relaxation correlation spectrum imaging (DR-CSI) combined with a support vector machine (SVM) model for detecting PCa in vivo was initially explored, and its diagnostic performance was evaluated and compared with the Prostate Imaging-Reporting and Data System (PI-RADS) score based on multiparametric MRI (MP-MRI). The DR-CSI combined with SVM model may suggest additional clinical value and potential to improve the detection of PCa. |
| 147 | 17:24
|
Clinical validation of ADC thresholds established by the ECOG-ACRIN A6702 trial to reduce unnecessary biopsies in breast MR screening exams |
| Debosmita Biswas1, Andrea Winters1, Anum S Kazerouni1, Inyoung Youn1,2, Janie M Lee1, Sara H Javid1, Habib Rahbar1, and Savannah C Partridge1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Radiology, Kangbuk Samsung Hospital, Seoul, Korea, Republic of |
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Numerous single-site studies have established that diffusion-weighted MRI (DWI) can improve breast MRI performance, but clinical implementation has been limited by lack of standardization. The ECOG-ACRIN multicenter A6702 trial determined two pre-specified ADC thresholds from standardized acquisition that could reduce unnecessary biopsies by up to 36%. Since lesion ADCs were computed using centralized offline analysis, whether similar performance could be achieved in clinical settings is not yet established. We demonstrate that implementing the ADC threshold specified by the ECOG-ACRIN trial in a clinical breast imaging setting could provide high sensitivity and potentially reduce unnecessary biopsies for screening breast MRI. |
| 148 | 17:36
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The diagnostic performance of modified BI-RADS using high-resolution diffusion weighted images (HR-DWI), T1WI and T2WI |
| Rie Ota1, Masako Kataoka1, Mami Iima1, Ayami Ohno Kishimoto2, Maya Honda3, Kanae Kawai Miyake1, Yosuke Yamada4, Yasuhide Takeuchi4, Masakazu Toi5, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University graduate school of medicine, Kyoto, Japan, 2Department of Diagnostic Radiology, Kyoto Katsura Hospital, Kyoto, Japan, 3Department of Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan, 4Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan, 5Department of Breast Surgery, Kyoto University Hospital, Kyoto, Japan |
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This study aimed to evaluate the diagnostic performance of non-contrast protocol combining high-resolution diffusion weighted images (HR-DWI) with rs-EPI, T1WI and T2WI, using modified BI-RADS. In total, 98 breast lesions (60 malignant and 38 benign lesions) were categorized and compared to the pathological diagnosis. Area under the ROC curve (AUC)s of the non-contrast protocol were 0.90 (95% confidence interval (95%CI) : 0.82-0.95) for both readers. When excluding cases in which ADC value could not be measured, the AUC values were improved. Non-contrast protocol with modified BI-RADS can be used to evaluate breast lesions. |
| 149 | 17:48
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Assessment and improvement of the quality of fat saturation in breast MRI using deep-learning with synthetic data |
| Junghwa Kang1, Ga Eun Park2, Sung Hun Kim2, and Yoonho Nam1 | ||
1Division of biomedical engineering, Hankuk university of foreign studies, gyunggi-do,yongin-si, Korea, Republic of, 2Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of |
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We propose a fully automatic method to assess and improve the quality of the fat saturation in breast MR images. For this purpose, three deep neural networks were trained using both actual and synthetic breast MR data. Firstly, the poorly fat saturated cases were classified using a binary classification network. Then, the poorly fat saturated regions were localized using a segmentation network. Lastly, for the poor cases, the remaining fat signals were retrospectively suppressed using a correction network. The results showed that our networks successfully identified the poor cases and suppressed the remaining fat signals. |
| 150 | 18:00
|
Deep Learning for Triage of Normal Breast MRI Exams to an Abbreviated Interpretation Worklist |
| Arka Bhowmik1, Natasha Monga1, Kristin Belen1, Danny Martinez1, Elizabeth J. Sutton1, Katja Pinker-Domenig1, and Sarah Eskreis-Winkler1 | ||
1Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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In this abstract, we develop and evaluate a deep learning model to identify completely normal screening breast MRIs for triage to an abbreviated interpretation worklist, a workflow that misses no cancers and markedly reduces radiologist interpretation times. In our held out test set, the algorithm triaged 20% of all screening exams to the abbreviated worklist and 80% to full interpretation worklist for radiologist without missing any cancer exams (100% sensitivity), which reduced the total projected reading time for exams from 148 hours to 119 hours. |
| 151 | 18:12
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Silicone Implant and Fibrous Capsule Assessment Based on Water-Fat-Silicone Images from a Chemical Shift Encoding-Based Species Separation |
| Tabea Borde1, Antonia Wiedemann1, Jonathan Stelter1, Christof Böhm1, Stefan Ruschke1, Kilian Weiss1, Mingming Wu1, Marcus R. Makowski1, Dimitrios C. Karampinos1, and Eva M. Fallenberg1 | ||
1Technical University of Munich, Munich, Germany |
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With continuously rising breast augmentation procedures worldwide, there is an increasing clinical need for an early and accurate detection of implant complications. In clinical practice, silicone implants are mainly visualized by silicone-only acquisitions which can be limited by a low signal-to-noise ratio and poor resolution. The present work proposes chemical shift encoding-based multi-echo gradient-echo imaging in combination with a robust graph-cuts-based water-fat-silicone separation. The resulting multi-contrast imaging at high isotropic resolution enables a more precise delineation of the implant capsule and a better evaluation of the implant’s integrity compared to conventional silicone-only acquisition. |
| 152 | 18:24
|
Field-Cycling imaging identifies breast cancer at low magnetic field strengths |
| Vasiliki Mallikourti1, James Ross1, Oliver Maier2, Gareth Davies1, Gerald Lip3, Markus Bödenler4, Rudolf Stollberger5, Yazan Masannat3, and Lionel Broche1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Breast unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Institute of eHealth, University of Applied Sciences FH JOANNEUM, Graz, Austria, 5BioTechMed-Graz, Graz, Austria |
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Field-Cycling imaging (FCI) can image over a range of low magnetic field strengths (0.2 T to 0.2 mT) through rapid switching between magnetic field levels. This allows measuring the field-depended changes of the longitudinal T1 relaxation time, known as T1 dispersion, exploring new approaches for breast tumour contrast. FCI images were acquired from patients with breast tumours to generate multi field-T1 maps and T1 dispersions. The T1 maps exhibited visible contrast of the tumour region. T1 dispersion profiles from tumours differed from those in healthy breast tissues, showing that FCI can detect breast tumours at low field strengths. |
| 153 | 17:00
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Evaluation of the lipid composition in mice transplanted with obese human microbiota using magnetic resonance spectroscopy |
| Joao Piraquive1,2, Franck Desmoulin2,3, José Manuel Fernandez-Real4, Rémy Burcelin1, Xavier Collet1,2, and Anne Bouloumié1 | ||
1Institute of Metabolic and Cardiovascular Diseases (I2MC), Team Dynamix, Toulouse, France, 2Regional center of functional exploration and experimental resources (CREFRE), Noninvasive exploration service (ENI), Toulouse, France, 3Toulouse NeuroImaging Center (ToNIC), INSERM UMR 2314/UPS, Toulouse, France, 4Unitat de Diabetologia, Endocrinologia i Nutricio, University Hospital of Girona Dr. Josep Trueta, Girona, Spain |
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In this project, mice devoid of microbiota were transplanted with human microbiota from obese patients. Our work focused on evaluating and comparing the lipid composition in the white adipose in mice with different gut microbiota backgrounds using MRS. Our findings showed differences in white adipose tissue storage, lipid composition, and fatty acid composition among the different groups. This suggests that MRS can be used as a noninvasive tool to monitor dysbiotic gut microbiota in obese patients and evaluate a potential therapeutic response for obesity.
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| 154 | 17:12
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Probing Mitochondrial Function in Intact Fetal Brains with Ungated 4D Oxy-wavelet MRI in an Irradiation Injury Mouse Model |
| Anthony Christodoulou1, Margaret Caroline Stapleton2, Devin Raine Everaldo Cortes3, Eric Goetzman4, Cecilia Lo2, Michael Epperly 5, Joel Greenberger 5, and Yijen L Wu2 | ||
1Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States, 3Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA, United States, 4Pediatrics, University of Pittsburgh, Pittsburgh, PA, United States, 5Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, United States |
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A novel motion-and-time resolved 4D oxy-wavelet MRI (4D-fMRI acquired with oscillating hypoxia challenges, analyzed by a continuous wavelet transform mimicking experimental oscillations) can acquire fetal MRI with high spatiotemporal resolution and can probe mitochondrial functions in live fetal brains. 4D oxy-wavelet MRI outcomes were validated with Oroboros mitochondrial function assays and correlated with mitochondrial targeting drug JP4-039 in a fetal irradiation injury mouse model. The mouse fetuses showed poor 4D oxy-wavelet outcomes had poor mitochondrial functions and vice versa. Furthermore, an automated time-frequency analysis scheme can correctly differentiate normal vs irradiated fetuses, paving the way for future AI-based automatic diagnosis. |
| 155 | 17:24
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Diffusion MRI and MRS probe cerebellar microstructure alterations in the rat developing brain during hepatic encephalopathy |
| Jessie Mosso1,2,3, Mickaël Rey1,2, Dunja Simicic1,2,3, Katarzyna Pierzchala1,2,3, Ileana Ozana Jelescu4, and Cristina Cudalbu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology (AIT), EPFL, Lausanne, Switzerland, 3LIFMET, EPFL, Lausanne, Switzerland, 4Service de radiodiagnostic et radiologie interventionnelle, Lausanne University Hospital CHUV, Lausanne, Switzerland |
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Children affected by hepatic encephalopathy (HE) suffer from irreversible cognitive damage, and thus exploring the developing brain during HE is of crucial interest. Histology in an adult rat model of HE suggested alterations in the cerebellar microstructure, but there is a need for in vivo probes of these changes. Combining diffusion MRS and diffusion MRI, we measured increased metabolites’ diffusivities, as well as an increased intra-neurite/axon water diffusivity in white and gray matter in the cerebellum of a young rat model of HE compared to control rats, suggesting an alteration of cell density and/or of neurite network complexity. |
| 156 | 17:36
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Ultra-high-resolution multi-parametric imaging on rats using MULTIPLEX at 9.4T |
| Yongquan Ye1, Renkuan Zhai2, and Hongxia Lei2 | ||
1UIH America, Inc., Houston, TX, United States, 2Wuhan United Imaging Life Science Instrument Co., Ltd., Wuhan, China |
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In this work, we report the initial experience of a state-of-the-art single-scan, high-resolution multi-parametric method, i.e. MULTIPLEX, on a 9.4T animal system. Ultra-high-resolution multi-parametric images with 0.12mm isotropic voxels were achieved on ex-vivo rat brain with atlas level anatomical details, while high resolution (0.1x0.1x0.4mm3) results with sufficient SNR were achieved with in-vivo rat brain. |
| 157 | 17:48
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Mechanically Induced contrast in OA and control cartilage tissues at histological length scales probed by multi-scale 1H/23Na MRS and MRI at 9.4T. |
| Galina Pavlovskaya1, Onur Belek2, Thomas Meersmann1, Christopher Philp1, Jane McLaren2, David A Walsh2, and Brigitte E Scammell2 | ||
1SPMIC/Medicine, University of Nottingham, Nottingham, United Kingdom, 2Medicine, University of Nottingham, Nottingham, United Kingdom |
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We reveal intriguing experimental results providing the evidence that triple quantum filtered sodium relaxation time associated with histologically confirmed sodium bound to glycosaminoglycans (GAGs) in the cartilage matrix could be a marker for earlier osteoarthritis. The change appears only when cartilage specimens are subjected to mechanical load corresponding to 200N force applied normal to the cartilage surface. Hence, this mechanically induced change can potentially serve as a health score of cartilage tissues in health and disease in vivo. |
| 158 | 18:00
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Renal fibrosis investigated by in vivo multifrequency MR elastography in a rat model of chronic kidney disease. |
| Karolina Garczyńska1,2, Julia Hahndorf1, Nicola Stolzenburg1, Matthias Taupitz1, Jürgen Braun3, Ingolf Sack1, Jörg Schnorr1, and Jing Guo1 | ||
1Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany, 2Department of Veterinary Pathology, Free University of Berlin, Berlin, Germany, 3Institute of Medical Informatics, Charité Universitätsmedizin Berlin, Berlin, Germany |
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Using in vivo tomoelastography and multiparametric MRI (mp-MRI) we investigated kidneys of 10 rats with adenine-induced chronic kidney disease (CKD) and 8 healthy controls. In CKD rats, increased kidney volume, shear wave speed (SWS, related to stiffness) and wave penetration rate (related to inverse viscosity) were observed, while water diffusivity was reduced. These imaging findings were correlated with histopathologically quantified renal fibrosis. Our results suggested that collagen accumulation during CKD progression transforms soft-compliant renal tissue into a more rigid-solid state with reduced water mobility and shows that tomoelastography is a promising tool for non-invasive monitoring of disease progression. |
| 159 | 18:12
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MRI tracking of genetically engineered extracellular vesicles as SARS-CoV-2 mimetics for studying viral-induced pathologies |
| Andrea Galisova1, Jiri Zahradnik1, Hyla Allouche-Arnon 1, Gideon Schreiber1, and Amnon Bar-Shir1 | ||
1Weizmann Institute of Science, Rehovot, Israel |
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Extracellular vesicles (EVs) are cell derived nanoformulations that allow to use genetic tools to engineer their features. Here, we show an MR imaging platform, which is based on genetically engineered magnetically labeled EVs, for mapping the binding of SARS-CoV-2 mimetics to the ACE2 receptor in vivo. The proposed imaging platform can help to better understand the mechanism and development of SARS-CoV-2 infection and in the delivery of proposed therapeutics. The presented principles can be further extended to study other viruses and viral mutations by engineering a tailored peptide on the EVs surface and thus study viral-induced pathologies by MRI. |
| 160
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17:00
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Submillimeter dMRI protocol optimization for accurate in-vivo reconstruction of deep-brain circuitry |
| Chiara Maffei1, Fuyixue Wang1, Suzanne Haber2,3, and Anastasia Yendiki1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States, 3McLean Hospital, Belmont, MA, United States |
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The relatively low resolution of conventional in-vivo human dMRI prevents the reconstruction of small axonal bundles (diameter < 3mm). Here we show that diencephalic connections, which are inaccessible at macroscopic resolution (1.5mm), can be reconstructed with unprecedented accuracy at mesoscopic resolution (760μm). We investigate the minimum number of directions needed to achieve this with a state-of-the-art, multi-slab dMRI sequence. We find that a long, multi-session acquisition is necessary. We aim to develop a protocol for manual annotation of these bundles in a small number of high-quality datasets, and thus produce a training set for automated reconstruction in lower-quality dMRI data. |
| 161
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17:12
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Macromolecule modelling for improved metabolite quantification using very short echo time MRS at 3T: The PRaMM model |
| Andrea Dell'Orco1,2,3,4, Layla Tabea Riemann2, Semiha Aydin2, Michael Scheel1, and Ariane Fillmer2 | ||
1Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Neuroradiology, Berlin, Germany, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 3Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany, 4Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research, Berlin, Germany |
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The accurate quantification of ultra-short echo-time 1H-MRS spectra is challenging due to broad macromolecular (MM) signal components. Here, we propose the parameterized-ratio MM (PRaMM) method to model the MM and its use in linear-combination model fitting of 1H-MRS spectra. The PRaMM method uses ratios of MM signal amplitudes as soft-constraints to limit the degrees of freedom of the fitting model, while allowing for more flexibility than commonly used approaches. The suggested model is demonstrated to improve the quantification of metabolites compared to two common methods for MM treatment. |
| 162
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17:24
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In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter |
| Robert Jones1, Chiara Maffei1, Qiyuan Tian1, Susie Huang1, Vaanathi Sundaresan1, and Anastasia Yendiki1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, United States |
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We investigate the use of generalized anisotropy profiles (GAPs) for delineating boundaries between subcortical gray and white matter in vivo. Replicating results from a previous ex vivo study, we show that GAPs, which are computed from the diffusion propagator, provide more informative contrasts than T1- and T2-weighted images or conventional diffusion metrics. An undersampled Cartesian-grid sampling of q-space can be used to obtain these profiles with a reasonable scan time. Thus, GAPs show promise as a multi-channel contrast that could be used in the future to improve structural segmentation. |
| 163 | 17:48
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Longitudinal Brain and Cognitive Development of the First 1000 Days:A Large Multi-Cohort Multi-Scanner Study |
| Muriel Bruchhage1,2,3, Yaqing Chen4, Alvaro Gajardo Cataldo4, Hans-Georg Müller4, Elizabeth Weisee3, Sian Wilson5,6, Maximilian Pietsch5,7, Viren D'Sa2,3, Andre Marquand8, Sylvia Madhow9,10, Kristofer Bouchard9,10, James H. Cole11,12, Francesca Biondo11,13, Jed Elison14, Jonathan OMuirchheartaigh5,6,7, and Sean C. L. Deoni2,3,15 | ||
1Psychology, Stavanger University, Stavanger, Norway, 2Pediatrics, Warren Alpert Medical School at Brown University, Providence, RI, United States, 3Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States, 4Statistics, UC Davis, Davis, CA, United States, 5Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, London, United Kingdom, 6Department of Forensic & Neurodevelopmental Sciences, King's College London, London, United Kingdom, 7MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom, 8Radboud University, Maastricht, Netherlands, 9Scientific Data Division & Biological Systems and Engineering Division, LBNL, Berkeley, CA, United States, 10Helen Wills Neuroscience Institute & Redwood Center for Theoretical Neuroscience, UC Berkeley, Berkeley, CA, United States, 11Centre for Medical Image Computing, Computer Science, UCL, London, United Kingdom, 12Dementia Research Centre, Queen Square Institute of Neurology, UCL, London, United Kingdom, 13Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 14Institute of Child Development, University of Minnesota, Minneapolis, MN, United States, 15Brown's Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, United States |
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The first 1000 days are essential for a child’s development, consisting of critical time windows for brain and cognitive development but also vulnerability. In this large multi-cohort study, we investigated typical development of 478 children with ≤6 timepoints across two different scanners with different acquisition protocols. PACE brain-for-age growth percentiles and regression slope functions with 95% pointwise confidence intervals identified critical windows of neurocognitive development. Our results could allow for more appropriate neurodevelopmental burden estimates across multi-scanner cohorts, and help identify primary risk factors and age-specific intervention impact. |
| 164 | 18:00
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Evaluation of perfusion effects on HP[1-13C]pyruvate imaging parameters in patients with glioblastoma |
| Sana Vaziri1, Adam Autry1, Marisa Lafontaine1, Janine M Lupo1, Jeremy W Gordon1, Jasmine Hu1, Hsin-Yu Chen1, Yaewon Kim1, Javier Villanueva-Meyer1, Susan M Chang2, Jennifer Clarke2,3, Nancy Ann Oberheim Bush2,3, Duan Xu1, Peder EZ Larson1, Daniel B Vigneron1,4, 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 Neurology, University of California, San Francisco, San Francisco, CA, United States, 4Department of Bioengineering and Therapeutic Science, University of California, San Francisco, San Francisco, CA, United States |
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Dynamic hyperpolarized (HP) 13C metabolic imaging allows for non-invasive measurements of real-time enzymatic conversion of injected [1-13C]pyruvate to [1-13C]lactate. The HP signal depends on several factors, including perfusion and monocarboxylate transporter activity. Previously, a global increase of pyruvate-to-lactate apparent conversion rates values was found in patients with glioma after receiving anti-angiogenic therapies. To better understand the effects of tissue vasculature on HP signals, we investigated the relationship between HP[1-13C]pyruvate metabolism and 1H perfusion parameters in normal-appearing white matter patients with glioma. |
| 165
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EDDEN: Towards a framework for Evaluating Diffusion MRI DENoising approaches |
| Jose Pedro Manzano Patron1,2, Steen Moeller3, Essa Yacoub3, and Stamatios Sotiropoulos1 | ||
1Sir Peter Mansfield Imaging Centre, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2Precision Imaging Beacon, University of Nottingham, Nottingham, United Kingdom, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Denoising diffusion MRI data has gained significant interest over the last years, due to the inherently low-SNR in the dMRI signal. Despite the existence of a number of denoising algorithms, open questions exist on how, and even whether, to denoise data. A consistent set of evaluations that comprehensively characterise newly-developed approaches and their impact on downstream applications is lacking for providing insight to these questions. Here we propose EDDEN, a framework for Evaluating DMRI DENoising approaches, consisting of a set of unique data and assessments. We demonstrate its use using 3 exemplar denoising methods (NLM, MPPCA and NORDIC). |
| 166
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Comparing population Receptive Field mapping using VASO-CBV and BOLD |
| Icaro A.F. Oliveira1,2, Yuxuan Cai1,2, Shir Hofstetter1, Jeroen C.W. Siero1,3, Wietske van der Zwaag1, and Serge O. Dumoulin1,2,4 | ||
1Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 2Experimental and Applied Psychology, VU University, Amsterdam, Netherlands, 3Radiology, University Medical Centre Utrecht, Utrecht, Netherlands, 4Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands |
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We extended the use of VASO-CBV to pRF mapping modeling. We show that VASO-CBV data can be used reliably to map polar angle and eccentricity, similar to BOLD-based data. In addition, the pRF size increased systematically from V1 to V3 similarly for BOLD and VASO-CBV estimates. The higher microvascular specificity of VASO-CBV did not result in smaller pRF size estimates. This result suggests that the vascular contribution to the pRF size is not dominant in either VASO-CBV or BOLD-based pRF mapping. |
| 167 | Pitch: 17:00 Poster: 17:02 Plasma 1
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Unsupervised correction network for Nyquist ghost artifact and geometry distortion in echo planar imaging |
| Jeewon Kim1, Kinam Kwon1, Seohee So2, Byungjai Kim1, Wonil Lee1, and HyunWook Park1 | ||
1Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Republic of, 2Korea Institute of Science and Technology, Seoul, Korea, Republic of |
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We propose a new correction scheme using a deep neural network with unsupervised learning to correct Nyquist ghosts and geometry distortions occurring in EPI. The proposed scheme includes NGAC-net and GDC-net. First, the NGAC-net estimates the phase error of k-space with the help of a ghost formulation operator and correlation loss. The NGAC-net produces two Nyquist ghost corrected images obtained by dual-polarity phase-encoding gradients. The GDC-net is trained to estimate the frequency-shift map using the two output images from the NGAC-net. Afterwards, an MR image generation operator utilizes the estimated frequency-shift map to obtain the geometry distortion corrected images. |
| 168 | Pitch: 17:02 Poster: 17:04 Plasma 2
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An unsupervised deep learning method for affine registration of multi-contrast brain MR images |
| Srivathsa Pasumarthi Venkata1, Ben Andrew Duffy1, and Keshav Datta1 | ||
1R&D, Subtle Medical Inc, Menlo Park, CA, United States |
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Image registration is a crucial preprocessing step for many downstream analysis tasks. Existing iterative methods for affine registration are accurate but time consuming. We propose a deep learning (DL) based unsupervised affine registration algorithm that executes orders of magnitude faster when compared to conventional registration toolkits. The proposed algorithm aligns 3D volumes from the same modality (e.g. T1 vs T1-CE) as well as different modalities (e.g. T1 vs T2). We train the model and perform quantitative evaluation using a pre-registered brain MRI public dataset. |
| 169 | Pitch: 17:04 Poster: 17:06 Plasma 3
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BayesTract: Automated machine learning based brain artery segmentation, anatomical prior annotation and feature-extraction in MR Angiography |
| Abrar Faiyaz1, Nhat Hoang1, Alan Finkelstein1, Jianhui Zhong1, Marvin Doyley1, Henry Wang2, Md Nasir Uddin1,2, and Giovanni Schifitto1,2 | ||
1University of Rochester, Rochester, NY, United States, 2University of Rochester Medical Center, Rochester, NY, United States |
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Brain arterial-blood-vessels can carry important information regarding cerebrovascular pathogenesis. Due to non-invasiveness, 3D-time-of-flight MR-angiography is widely used to depict arteries in clinical-exams. However, deemed limited for qualitative assessment in clinical setting. Although several post-processing approaches exist such as tool-based-manual segmentation and diameter-marking or deep-learning-based segmentations--these require huge-time and experienced-eyes or large manually-segmented training-sets, making performance variable. Since brain-artery-annotations are anatomically-inspired, anatomical-confidant-points identified with a Bayesian approach can be used to annotate major-brain-arteries, which circumvents the need for large-dataset from learning requirement. The approach will allow clinical evaluations of major-arteries and biomarker identifications for cerebrovascular pathogenesis with limited resource and time. |
| 170 | Pitch: 17:06 Poster: 17:08 Plasma 4
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Triplanar Ensemble Detection Network (TPE-Det): A Single End-to-End Model for Efficient Detection of Cerebral Microbleeds in MR Images |
| Haejoon Lee1, Mohammed A. Al-masni1, Jun-Ho Kim1, Seul Lee1, Kyu-Jin Jung1, Woo-Ram Kim2, Young Noh2,3, and Dong-Hyun Kim1 | ||
1Department of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Neuroscience Research Institute, Gachon University, Incheon, Korea, Republic of, 3Department of Neurology, Gachon University College of Medicine, Gil Medical Center, Incheon, Korea, Republic of |
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Automated detection of Cerebral Microbleeds (CMBs) in Magnetic Resonance (MR) images can be clinically useful because of the small size of CMBs and the presence of numerous mimics. In this study, we propose an end-to-end Triplanar Ensemble Detection Network (TPE-Det) that demonstrates notable performance with only a single stage. Via the proposed TPE-Det, we combined CMBs detection results from axial, sagittal, and coronal planes. When considering the additional planes, the average False Positives per patient (FPavg) decreased from 29.16 to 0.92 compared to the case of using only the axial plane, preserving the high sensitivity of 95.94%. |
| 171 | Pitch: 17:08 Poster: 17:10 Plasma 5
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Learning to segment brain tumours using an explainable classifier |
| Soumick Chatterjee1,2,3, Hadya Yassin4, Florian Dubost5, Andreas Nürnberger2,3,6, and Oliver Speck1,6,7,8 | ||
1Department of Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany, 2Data and Knowledge Engineering Group, Otto von Guericke University Magdeburg, Magdeburg, Germany, 3Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany, 4Institute for Medical Engineerin, Otto von Guericke University Magdeburg, Magdeburg, Germany, 5Department of Biomedical Data Science, Stanford University, Stanford, CA, United States, 6Center for Behavioral Brain Sciences, Magdeburg, Germany, 7German Centre for NeurodegenerativeDiseases, Magdeburg, Germany, 8Leibniz Institute for Neurobiology, Magdeburg, Germany |
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Deep learning pipelines typically require manually annotated training data and the complex reasoning done by such methods make them appear as “black-boxes” to the end-users, leading to reduced trust. Unsupervised or weakly-supervised techniques could be a possible candidate for solving the first issue, while explainable classifiers or applying post-hoc interpretability-explainability methods on opaque classifiers may solve the second issue. This research addresses both problems by segmenting brain tumours without segmentation labels for training, using an explainable deep learning-based classifier. The classifier combined with a global pooling operation with a segmentation model to train and obtain classification results from this method. |
| 172 | Pitch: 17:10 Poster: 17:12 Plasma 6
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StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder |
| Soumick Chatterjee1,2,3, Alessandro Sciarra1,4, Max Dünnwald3,4, Pavan Tummala3, Shubham Kumar Agrawal3, Aishwarya Jauhari3, Aman Kalra3, Steffen Oeltze-Jafra4,5, Oliver Speck1,5,6,7, and Andreas Nürnberger2,3,5 | ||
1Department of Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany, 2Data and Knowledge Engineering Group, Otto von Guericke University Magdeburg, Magdeburg, Germany, 3Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany, 4MedDigit, Department of Neurology, Medical Faculty, University Hospital, Magdeburg, Germany, 5Center for Behavioral Brain Sciences, Magdeburg, Germany, 6German Centre for NeurodegenerativeDiseases, Magdeburg, Germany, 7Leibniz Institute for Neurobiology, Magdeburg, Germany |
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Deep learning methods are typically trained in a supervised with annotated data for analysing medical images with the motivation of detecting pathologies. In the absence of manually annotated training data, unsupervised anomaly detection can be one of the possible solutions. This work proposes StRegA, an unsupervised anomaly detection pipeline based on a compact ceVAE and shows its applicability in detecting anomalies such as tumours in brain MRIs. The proposed pipeline achieved a Dice score of 0.642±0.101 while detecting tumours in T2w images of the BraTS dataset and 0.859±0.112 while detecting artificially induced anomalies. |
| 173 | Pitch: 17:12 Poster: 17:14 Plasma 7
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Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration |
| Soumick Chatterjee1,2,3, Himanshi Bajaj3, Mohammad Istiyak Hossain Siddiquee3, Nandish Bandi Subbarayappa3, Steve Simon3, Suraj Bangalore Shashidhar3, Oliver Speck1,4,5,6, and Andreas Nürnberger2,3,5 | ||
1Department of Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany, 2Data and Knowledge Engineering Group, Otto von Guericke University Magdeburg, Magdeburg, Germany, 3Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany, 4German Centre for NeurodegenerativeDiseases, Magdeburg, Germany, 5Center for Behavioral Brain Sciences, Magdeburg, Germany, 6Leibniz Institute for Neurobiology, Magdeburg, Germany |
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Deep Learning based deformable registration techniques such as Voxelmorph, ICNet, FIRE, do not explicitly encode global dependencies and track large deformations. This research attempts to encode semantics, i.e. structure and overall view of the anatomy in the supplied image, by incorporating self-constructing graph network in the latent space of a UNet model. It also attempts to track larger deformations through multiscale architecture and maintains consistent deformations through cycle consistency. The proposed method was compared against Voxelmorph and ANTs for T1 intramodal and T1-T2 Intermodal registration on IXI Dataset. The experiments show that the proposed model outperforms the baselines. |
| 174 | Pitch: 17:14 Poster: 17:16 Plasma 8
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Deep learning-based high-resolution pseudo-CT to detect cranial bone abnormalities for pediatric patients using MRI |
| Parna Eshraghi Boroojeni1, Yasheng Chen1, Cihat Eldeniz1, Paul Commean1, Gary Skolnick1, Kamlesh Patel1, and Hongyu An1 | ||
1Washington University in Saint Louis, Saint Louis, MO, United States |
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Head trauma is common in the pediatric population. Craniosynostosis is abnormal early fusion of a cranial suture, causing an irregular-shaped cranium.3D high-resolution head CT scans are commonly used in these pediatric patients to identify skull fractures and sutures. However, CT exposespediatric patients to ionizing radiationand increases risk of cancer. We developed a robust and automated deep learning method to convert MR images to pseudo-CT (pCT) that can facilitate translating MR cranial bone imaging into clinical practice. An average Dice Coefficient of 0.89 and mean absolute error of 72.45 HU between pCT and CT were achieved. |
| 175 | Pitch: 17:16 Poster: 17:18 Plasma 9
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ViT-PU-Net: Volumetric Phase Unwrapping for MR images based on Vision Transformer |
| Soohyun Jeon1, Kanghyun Ryu2, and Dong-Hyun Kim1 | ||
1Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Radiology, Stanford University, Stanford, CA, United States |
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MR phase information has been used in many MRI applications, recently, so it is very important to estimate the correct MR phase. Since the MR phase is encoded in complex exponential, the actual phase information obtained is in the form of a wrapped signal. Unfortunately, conventional MR phase unwrap methods are highly related to SNR and require a lot of computation, so an efficient method is needed.. Here, we propose ViT-PU-Net to perform 3D phase unwrap using ViT-based encoder architecture. Therefore, we investigated whether this architecture could be applied to 3D phase unwrap task by applying it to various data. |
| 176 | Pitch: 17:18 Poster: 17:20 Plasma 10
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SWISeR: Multi-Field Susceptibility-Weighted Image Super-Resolution |
| Alexandra Grace Roberts1, Pascal Spincemaille2, Ilhami Kovanlikaya2, Apostolos John Tsiouris2, Thanh Nguyen2, and Yi Wang2,3 | ||
1Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States, 3Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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Susceptibility-Weighted Imaging Super-Resolution (SWISeR) increases the apparent resolution of input images and improves image quality, measured by mean-squared error and clinical scoring. This method generalizes to healthy subjects scanned at 3T and 7T and subjects imaged at 1.5T and 3T. |
| 177 | Pitch: 17:20 Poster: 17:22 Plasma 11
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Rapid 3D Quantitative Mapping of Brain Metastases with Deep Learning-Based Phase-Sensitive MR fingerprinting |
| Victoria Y Yu1, Kathryn R Tringale2, Ricardo Otazo1, and Ouri Cohen1 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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In MR fingerprinting, quantitative maps are obtained by matching the measured signal to a pre-computed dictionary. However, a key constraint of dictionary matching is the exponential growth of the dictionary with the number of parameters. A deep learning method named DRONE overcomes this constraint by using deep learning to map the magnitude-valued signal to the underlying tissue parameters. Here we describe an extension of DRONE that jointly estimates a phase term to enable mapping complex-valued signals and improve the quantitative accuracy. We test the accuracy in the ISMRM NIST phantom and demonstrate the clinical utility in patients with brain metastases. |
| 178
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R1ρ Dispersion Imaging of Normal Tissues in Human Subjects at 3T |
| Fatemeh Adelnia1,2, Zhongliang Zu1,2, Feng Wang1,2, Saikat Sengupta1,2, Kevin D Harkins1,2, and John C Gore1,2,3 | ||
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, Vanderbilt University, Nashville, TN, United States |
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R1ρ dispersion over a range of weak locking fields has the potential to reveal information on microvascular geometry and density based on diffusion effects. Using an efficient protocol for data acquisition and theoretical fits to a simple model we present estimates of novel parameters derived from R1ρ dispersion measurements that are in the range expected for microvasculature structure. Our in vivo results support the application of R1ρ dispersion at low locking fields in human studies. However, further validation such as ex vivo studies need to be performed. |
| 179 | 17:12
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Further insight on T1 relaxation in fat-water mixtures |
| Véronique Fortier1,2 and Ives R. Levesque2,3 | ||
1Medical Imaging, McGill University Health Center, Montreal, QC, Canada, 2Medical Physics Unit, McGill University, Montreal, QC, Canada, 3Research Institute of McGill University Health Center, Montreal, QC, Canada |
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The impact of the fat fraction in fat-water mixtures on the fat and water T1s is an open question, with variable observations reported in phantoms, in vivo in bone marrow, and in liver. This work investigated variations of fat and water T1 as a function of fat content in phantoms in the presence of a water relaxation enhancing agent (MnCl2). Fat fraction and MnCl2 impacted both the water and fat T1s, in different ways. Our observations may shed light on variable trends of fat and water T1 as a function of fat content reported in the literature. |
| 180 | 17:24
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Is the intra-axonal T2 relaxation time related to the axonal calibre? A diffusion-relaxation and histological data study |
| Muhamed Barakovic1,2,3,4, Marco Pizzolato4,5, Cristina Granziera1,2, Jean-Philippe Thiran4,6,7, Derek K. Jones3,8, and Erick Jorge Canales-Rodríguez4 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 3Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, Wales, United Kingdom, 4Signal Processing Laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 5Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark, 6Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 7Centre d’Imagerie Biomédicale (CIBM), EPFL, Lausanne, Switzerland, 8Mary MacKillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia |
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The main limitation of current axon diameter mapping techniques is that the diffusion MRI (dMRI) signals from axons smaller than 2.0 μm are practically undistinguished from each other, even for the most advanced human scanners. Consequently, there is a resolution limit for the in vivo estimation of axon diameters from dMRI data. Therefore, it would be desirable to find another source of MRI contrast sensitive to the axonal calibre. This proof-of-concept study used a surface-based relaxation model to investigate whether the intra-axonal T2 estimated in a human brain is related to the inner axon radius measured from histological data. |
| 181 | 17:36
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Multi-echo Complex QSM+qBOLD (mcQQ) for Oxygen Extraction Fraction (OEF) mapping |
| Junghun Cho1, Jinwei Zhang2, Pascal Spincemaille1, Hang Zhang2, Thanh D. Nguyen1, Ajay Gupta1, and Yi Wang1,2 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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Quantitative mapping of oxygen extraction fraction (OEF) is critical to evaluate brain tissue viability and function in neurologic disorders. An integrated model of QSM and qBOLD (QSM+qBOLD or QQ) has been developed to map OEF from a routine gradient echo MRI without the need for vascular challenges, and QQ inversion can be obtained using deep learning. This study proposes a multi-echo complex QQ (mcQQ) that improves fidelity to data noise characteristics using complex domain. The proposed mcQQ provided more accurate OEF in simulation and an improved sensitivity to OEF abnormalities in ischemic stroke patients, compared to the current QQ method. |
| 182 | 17:48
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Quantitative Parameter Mapping of Prostate using Stack-of-Stars and QTI Encoding |
| Rolf F Schulte1, Carolin M Pirkl1, Pablo Garcia-Polo2, Matteo Cencini3,4, Michela Tosetti3,4, Luis Marti-Bonmati5, and Marion I Menzel1,6 | ||
1GE Healthcare, Munich, Germany, 2GE Healthcare, Madrid, Spain, 3IRCCS Stella Maris, Pisa, Italy, 4IMAGO7 Foundation, Pisa, Italy, 5Hospital Universitario y Politécnico La Fe, Valencia, Spain, 6Technische Hochschule Ingolstadt, Ingolstadt, Germany |
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Quantitative MRI offers diagnostic insights into tissue and enables characterisation of diseases, while reducing variability between operators, sites and vendors. A stack-of-stars sequence using Quantitative Transient State Imaging (QTI) was optimised and implemented to map T1, T2 and Proton Density in human prostates. Resulting in vivo multi-parametric maps were of high quality, while validation in the NIST phantom show good agreement with T1 and T2 reference values. |
| 183 | 18:00
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Low field NMR Relaxometry Studies of Tumours with applications in Intraoperative Tumour Margin Assessment in Breast-Conserving Surgery |
| Simona Baroni1, Valeria Bitonto1, Maria Rosaria Ruggiero1, Alessandra Pittaro2, isabella Castellano2, Riccardo Bussone3, Lionel M. Broche4, David J. Lurie4, Silvio Aime1,5, and Simonetta Geninatti Crich1 | ||
1Department of Molecular Biotechnology and Health Sciences - Molecular Imaging Center, University of Turin, Torino, Italy, 2Department of Medical Sciences, University of Turin, Torino, Italy, 3Breast Unit, Ospedale Cottolengo, Torino, Italy, 4University of Aberdeen, Aberdeen, United Kingdom, 5IRCCS SDN, Napoli, Italy |
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A new methodology, based on low field NMR relaxometry, has been employed to characterize breast tumour tissue and to tackle the important clinical need for the assessment of tumour margins during breast-conserving surgery. The method relies on the acquisition of proton longitudinal relaxation rate at low magnetic field strengths which are affected by the changes in the composition of the mammary gland tissue occurring during the development of neoplasia. A sensitivity, specificity, and accuracy of 92%, 85%, and 89%, respectively, were achieved. The information obtained has the potential to support the surgeon in real-time margin assessment. |
| 184 | 18:12
|
Hierarchical multi-resolution graph-cuts for water–fat–silicone separation in breast MRI |
| Jonathan K. Stelter1,2, Christof Boehm1, Stefan Ruschke1, Kilian Weiss3, Maximilian N. Diefenbach1, Mingming Wu1, Tabea Borde1, Marcus R. Makowski1, Eva M. Fallenberg1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Department of Physics, Technical University of Munich, Garching, Germany, 3Philips Healthcare, Hamburg, Germany |
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A water- and fat-suppressed sequence is typically used to verify the integrity of silicone breast implants. The feasibility of using chemical shift encoding-based MRI for in vivo water–fat–silicone separation was recently shown. In this work, a hierarchical multi-resolution graph-cut framework is developed and proposed for water–fat–silicone separation in breast MRI. Robustness and competitive processing times are achieved by performing graph-cuts using varying spatial resolution. Results show successful water–fat–silicone separation for 4 echoes (the minimum of required echoes) without water–fat–silicone swaps and an improved silicone contrast compared to the conventional sequence. |
| 185 | Pitch: 17:00 Poster: 17:02 Plasma 16
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Bluetooth-enabled reconfigurable metamaterials for MRI |
| Dennis Philipp1,2, Endri Stoja3, Simon Konstandin1, Robin Wilke1, Diego Betancourt3, Thomas Bertuch3, Reiner Umathum1,4, Juergen Jenne1,4, and Matthias Guenther1,2 | ||
1Fraunhofer MEVIS, Bremen, Germany, 2University of Bremen, Bremen, Germany, 3Fraunhofer FHR, Wachtberg, Germany, 4DKFZ, Heidelberg, Germany |
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Bluetooth (BLE)-controlled, reconfigurable metamaterials (MTMs) for SNR enhancement in MRI are presented. These metasurfaces allow to be wirelessly interfaced and tuned during an MRI scan by means of a digital capacitor (DCAP), which is connected to a low-power microcontroller with BLE capabilities. Two prototypes are manufactured, one of which is a metasurface with adjustable resonance frequency, and the second one is dynamically tunable at the unit cell scale. It includes multiple DCAPS and, thus, is the first wirelessly reconfigurable MTM for MRI that offers field shaping capabilities, adjustable FoV, focal regions, sequence sync., and active detuning. |
| 186 | Pitch: 17:02 Poster: 17:04 Plasma 17
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Light Coils: MRI with Modular RF Coils Using Optical Power and Data Transmission |
| Ali Caglar Özen1, Yanis Taege2, Thomas Lottner1, Serhat Ilbey1, Caglar Ataman2, and Michael Bock1 | ||
1Dept. Radiology, Medical Physics, Medical Center - University of Freiburg, Freiburg, Germany, 2Gisela and Erwin Sick Laboratory for Micro-Optics, Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany |
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An optically powered and broadcasted modular receive coil concept (Light Coils) is presented for MRI to simultaneously eliminate the challenges in MRI of pediatric or overweight patients, signal-to-noise ratio losses and potential safety hazards due to electro-magnetic interferences in the transmission cables, and Ohmic losses in the metallic wires. By combining innovative RF antenna architectures, low-noise-low-power front end electronics and state-of-the-art silicon photonics technology, Light Coils might offer a robust and scalable solution for MRI image acquisition. Preliminary experimental results on the power-on-fiber driving of LNAs, and optical active detuning of receive coils are also discussed. |
| 187 | Pitch: 17:04 Poster: 17:06 Plasma 18
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Twenty-channel, Highly-stretchable, Overlapped, Receive (THOR) Array |
| Jana M. Vincent1,2,3,4, Fraser Robb4, Victor Taracila4, and Joseph V. Rispoli1,2 | ||
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 3Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, United States, 4MR Engineering, GE Healthcare Coils, Aurora, OH, United States |
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There has been a trend towards lightweight, flexible coils that provide greater SNR and patient comfort. To improve upon these coils and expand on existing stretchable designs, we present an omnidirectionally-stretchable, twenty-channel coil made with conductive thread on athletic fabric for use as a multipurpose coil. This coil was used to obtain in vivo images of anatomies including the wrist and ankle. Greater image quality and sensitivity can be seen with the stretchable coil compared to the commercial flexible coil. The stretchable coil was easier to place, able to be positioned more closely, and was more comfortable for the subjects. |
| 188 | Pitch: 17:06 Poster: 17:08 Plasma 19
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BraCoil – a wearable one-size-fits-all breast coil for 3 T MR mammography |
| Michael Obermann1, Lena Nohava1,2, Sigrun Roat1, Roberta Frass-Kriegl1, Onisim Soanca1, Bernhard Gruber1, Jean-Christophe Ginefri3, Jacques Felblinger2, and Elmar Laistler1 | ||
1High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 2IADI, Inserm, Université de Lorraine, Nancy, France, 3Laboratoire d’Imagerie Biomédicale Multimodale Paris Saclay (BioMaps), CEA, CNRS, Inserm, Université Paris-Saclay, Paris, France |
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In this work, we present a new approach for MR mammography with a wearable light-weight coil array (“BraCoil”) covering both breasts and the sentinel axillary lymph nodes. The coil can be worn like a vest over a T-shirt and used either in prone or supine position. The presented design might be able to overcome numerous shortcomings of the current state-of -the-art in breast imaging by improving sensitivity, comfort and intimacy, shortening measurement time and may thereby eventually enable large-scale breast cancer screening without ionizing radiation. |
| 189 | Pitch: 17:08 Poster: 17:10 Plasma 20
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Transmission Line Receiver Coils (TLCs) for MRI |
| Julian Adolfo Maravilla1, Karthik Gopalan1, Ana Claudia Arias1, and Michael Lustig1 | ||
1EECS, University of California, Berkeley, Berkeley, CA, United States |
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Recent advancements in MRI coil design have been made towards designing and efficiently manufacturing tailor-made MRI receive arrays utilizing a multitude of different manufacturing techniques. However, the coils in these arrays must be decoupled geometrically to prevent detuning of the individual channels. This work evaluates Twisted Pair and Microstrip based receiver coils and compares their performance to Coaxial and traditional coils in terms of SNR and decoupling. |
| 190 | Pitch: 17:12 Poster: 17:14 Plasma 21
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Additive manufacturing for the fabrication of subject-specific MRI passive shim and RF coil configurations |
| Hanne Vanduffel1, Cesar Parra1, Willy Gsell1, Rodrigo de Oliveira Silva1, Uwe Himmelreich1, Wim Vanduffel1, Dimitrios Sakellariou1, and Rob Ameloot1 | ||
1KULeuven, Leuven, Belgium |
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Additive manufacturing methods are cost and time efficient methods, in particular, for the fabrication of subject-specific MRI hardware components. A novel powder-binder jetting method was developed to deposit variable concentrations of magnetic ink at precise pre-calculated positions to sculpt B0 towards a target distribution via the passive response of the 3D printed shims. Discrete spherical harmonic terms were printed as a proof-of-concept towards the manufacturing of subject-specific passive shims. Stereolithography (SLA) and Laser Powder Bed Fusion (L-PBF) manufacturing methods were developed for the fabrication of subject-specific RF coils. Significant gains in image quality, scan time and subject comfort were observed. |
| 191 | Pitch: 17:14 Poster: 17:16 Plasma 22
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ModFlex – a modular system of flexible receive-only coil arrays for 3 T MRI |
| Lena Nohava1,2, Michael Obermann1, Roberta Frass-Kriegl1, Sigrun Roat1, Onisim Soanca1, Nicolas Weber2, Jean-Christophe Ginefri3, Jacques Felblinger2,4, and Elmar Laistler1 | ||
1High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 2IADI, Inserm, Université de Lorraine, Nancy, France, 3Laboratoire d’Imagerie Biomédicale Multimodale Paris Saclay (BioMaps), CEA, CNRS, Inserm, Université Paris-Saclay, Orsay, France, 4CHRU-Nancy, Inserm, Université de Lorraine, CIC, Innovation Technologique, Nancy, France |
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Flexible form-fitting radiofrequency coils provide high signal-to-noise ratio during MRI, and in array configuration large anatomical areas of interest can be covered. We propose a modular system - “ModFlex”- of flexible lightweight 4-channel coaxial coil arrays for 3T MRI. We investigated the performance difference between commercial reference coils and 8- and 16-channel ModFlex receive-only array systems. The versatility of ModFlex, the robustness of the coil characteristics for different use cases and a signal-to-noise gain compared to reference coils is demonstrated. |
| 192 | Pitch: 17:16 Poster: 17:18 Plasma 23
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On-coil digitization with a 130nm CMOS receiver: Electromagnetic compatibility and use for a wearable knee array |
| Andreas Port1, Roger Luechinger1, Thomas Burger2, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland |
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The relevant electromagnetic compatibility mechanisms of an integrated receiver based on 130nm CMOS technology are investigated. Imaging performance is verified with a digital wearable array, which was based on liquid metal and layed out for knee imaging. The study found that gradient switching and transients related to detuning are not critical in terms of EMC. However, coupling of RF to the preamplifier input has been found to exceed the receiver’s acceptable input voltage of 1.7V despite the use of protection diodes. Thus, a B1 limitation was applied and robust imaging performance was demonstrated in phantom and in vivo imaging. |
| 193 | Pitch: 17:18 Poster: 17:20 Plasma 24
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8-Channel Dipolectric Antenna Array for MRI at 7T: Proof-of-Principle Study in Human Brain |
| Daniel Wenz1,2 and Lijing Xin1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland |
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In this work we introduce a new type of antenna for ultrahigh field MRI which combines the advantages of dielectric resonator and dipole antennas: dipolectric antenna. Numerical simulations were performed to benchmark our concept against a loop-dipole antenna, and significant transmit efficiency gains in the peripheral as well as deeper located regions were observed. An 8-channel dipolectric antenna array was developed, and evaluated at the bench as well as in phantom experiments. In vivo MRI/MRS experiments at 7T were conducted and it was demonstrated that dipolectric antennas can be a promising approach for ultrahigh field MRI. |
| 194 | Pitch: 17:20 Poster: 17:22 Plasma 25
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Development of a Broadside-Coupled Split-Ring Resonator-Based Metasurface to Improve MRI at Ultra-High Fields |
| Akbar Alipour1, Alan C Seifert1, Bradley N Delman2, and Priti Balchandani1 | ||
1BioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, Manhattan, NY, United States, 2Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, Manhattan, NY, United States |
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There is a growing interest in ultra-high field magnetic resonance neuroimaging because of the greater signal-to-noise ratio (SNR) compared with conventional field strengths. However, visualization at these higher field strengths and Larmor frequencies is challenged by wavelength effects, compromising anatomical coverage of commercial coils. A novel metasurface based on a hybrid structure consisting of an array of broadside-coupled split-ring resonators and high permittivity materials was designed to augment signal at the 7 Tesla 1H Larmor frequency. This reusable surface device markedly improves SNR in caudal head structures that have historically been limited by poor signal. |
| 195 | Pitch: 17:22 Poster: 17:24 Plasma 26
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Transmit Performance of a Metamaterial Slab as a Passive RF Shimming Element for 3T MRI |
| Léo Rémillard1, Adam Mitchell Maunder1,2, Ashwin Iyer1, and Nicola De Zanche2,3 | ||
1Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada, 2Oncology, University of Alberta, Edmonton, AB, Canada, 3Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada |
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At higher static magnetic field strengths (3T) characteristic regions of low transmit fields occur that degrade the quality and diagnostic efficacy of MRI. Here we present the design, simulation, and measurement of thin (2cm), lightweight metamaterial (MTM) slabs for 3T that manipulate the field produced by a birdcage (BC) volume resonator for improved transmit performance. In a torso-sized phantom, a measured 39% increase in the mean flip angle and 4.9% reduction in the percent coefficient of variation was found, while the specific absorption rate normalized to the mean transmit field was reduced by 32%. |
| 196 | Pitch: 17:24 Poster: 17:26 Plasma 27
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Exploiting a trade-off between preamplifier noise figure and bandwidth in the design of multi-nuclear MRI detectors |
| Anders Nørup Thyrring Simonsen1, Vitaliy Zhurbenko1, Juan Diego Sanchez Heredia1, Wenjun Wang1, and Jan Henrik Ardenkjær-Larsen1 | ||
1Techical University of Denmark, Kgs. Lyngby, Denmark |
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The perspective of extending bandwidth of an MRI detector to ~3.2MHz can enable imaging of 13C, 23Na and 129Xe nuclei with a single coil in 3T scanners. Currently, multinuclear imaging is done using bulky multi-coil setups or triple-tuned matching networks. In this work we propose a different approach to cover several nuclei frequencies by extending the bandwidth of a single receive coil manipulating impedance of the preamplifiers. A trade-off analysis of the achieved bandwidth and SNR is performed. A design example is presented. The approach promises compact and light-weight realization, which is particularly useful for ultra-flexible multinuclear receive arrays. |
17:00
|
Introduction |
17:05
|
Development of an MSK Imaging Biomarker, Insights From the QIBA Process | |
| Thomas Link | ||
| University of California, San Francisco, United States | ||
17:20
|
Muscle Fat Fraction as an Outcome in Multicenter Clinical Trials for Muscular Dystrophy | |
| Rebecca Willcocks | ||
| University of Florida, United States | ||
17:35
|
Translational Imaging for the Assessment of Therapies for Musculo-Skeletal Indications: Part I | |
| Nicolau Beckmann | ||
| Novartis Institutes for Bio Medical Researc, Switzerland | ||
17:45
|
Translational Imaging for the Assessment of Therapies for Musculo-Skeletal Indications: Part II | |
| Didier Laurent | ||
| Novartis Institutes for Bio Medical Researc, Switzerland | ||
17:55
|
MR Imaging Biomarker for the Evaluation of Efficacy of Cartilage Repair Therapies | |
| Siegfried Trattnig | ||
| High Field MR Center, Austria | ||
18:05
|
Perfusion MRI as Biomarker in Musculoskeletal Diseases | |
| Rianne van den Heijden | ||
| University of Wisconsin-Madison, United States | ||
18:15
|
Panel Discussion | |
| Valentina Mazzoli1, James MacKay2, Esther Raithel3 | ||
| Stanford University, United States1, Astrazeneca, United Kingdom2, Siemens, Germany3 | ||
| 8:00 | The Nuts & Bolts of MR Elastography in the Brain |
| Lucy Hiscox |
| 8:30 | Brain MR Elastography in the Clinic: Indications & Challenges |
| Katharina Schregel |
| 8:00 | Motion-Corrected Reconstruction in CMR |
| Christopher Roy |
| 8:30 | Physics-Based Deep Learning for CMR Image Reconstruction |
| Mehmet Akcakaya |
| 8:00 | Post-Vaccine COVID-19 Adenopathy: Multidisciplinary Recommendations |
| Alberto Vargas |
| 8:30 | Multi-Organ Involvement of COVID-19 & Vaccine-Related Conditions |
| Jitka Starekova |
| 8:00 | Optimal MR Imaging for Musculoskeletal Tumors: Technical Considerations |
| Kai Vilanova |
| 8:30 | Optimal MR Imaging for Musculoskeletal Tumors: Clinical Considerations |
| Amanda Isaac |
| 8:00 | How Do You Apply for a Patent in MRI? |
| Kevin Koch |
| 8:30 | Lessons Learned in the Journey from MRI Invention to Standard of Care |
| Richard Ehman |
| 8:00 | The Higher, the Better: Acquisition & Analysis at Ultra-High Field |
| Peter Koopmans |
| 8:30 | Less Is More: Acquisition & Analysis at Ultra-Low Field |
| Mathieu Sarracanie |
| 8:00 | How to add values of PET in hybrid PET/MRI in cancer staging and prognostic prediction? |
| Tiffany Ting-Fang Shih |
| 8:30 | MR Linac |
| Marielle Philippens |
8:00
|
Disimpy: A GPU-accelerated diffusion MR simulator written in Python | |
| Leevi Kerkelä1 | ||
1UCL, London, United Kingdom |
8:30
|
Visualize your data with PySciVis | |
| Dominik Horstmann1 | ||
1Hannover Medical School, Hannover, Germany |
9:15
|
Clinical Cardiovascular MR: Artificial intelligence, Friend or Foe? | |
| Tevfik Ismail | ||
| King's College London, London, United Kingdom | ||
9:45
|
Scanning & Planning the Future of Cardiovascular MR | |
| Wendy Strugnell | ||
| Mater Hospital Brisbane, Queensland X-ray, Australia | ||
10:15
|
Can You & (A)I Learn the Physics Behind Cardiovascular MR? | |
| Sebastian Weingärtner | ||
| Delft University of Technology, Netherlands | ||
10:45
|
Deep Cardiovascular MR: Am (A)I Hallucinating? | |
| Kerstin Hammernik | ||
| Technical University of Munich, Germany | ||
9:15
|
Novel CMR Methods to Characterize Coronary Microvascular Disease | |
| Frederick Epstein1 | ||
1University of Virginia, United States |
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Coronary microvascular disease (CMD) is an important cause of myocardial ischemia, a central mechanism underlying heart failure with preserved ejection fraction, and an important risk factor for major adverse cardiac events and mortality. This presentation reviews pharmacological methods to modulate the coronary microvessels and their use in MR imaging to detect and quantify CMD. Specific methods covered include adenosine first-pass gadolinium-enhanced MRI, adenosine T1 mapping, arterial spin labeling, and LNAME T1 mapping. Studies applying these methods in obese and diabetic patients are reviewed, as are studies in animal models of CMD that investigate biological disease mechanisms and novel therapies. |
9:45
|
19F MRI-Based Imaging of Thromboinflammatory Processes in Cardiovascular Diseases | |
| Sebastian Temme1,2, Patricia Kleimann 2, Pascal Bouvain2, Arthur Zielinski2, Jeny Koshy2, Mina Yakoub3, Florian Bönner 4, Christoph Jacoby5, Francesca Baldelli-Bombelli 6, Karlheinz Peter7, Xiaowei Wang8, Jürgen Schrader9, Johannes Stegbauer3, and Ulrich Flögel2 | ||
1Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany, 2Experimental Cardiovascular Imaging, Heinrich-Heine-University, Düsseldorf, Germany, 3Experimental Nephrology, University Hospital Düsseldorf, Düsseldorf, Germany, 4Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University, Düsseldorf, Germany, 5Cardiology, Pulmonology and Vascular Medicine, University Hospital Düsseldorf, Düsseldorf, Germany, 6Chemistry, Materials and Chemical Engineering, Politechnico Milano, Milano, Italy, 7Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia, 8Molecular Imaging and Theranostics, Baker Heart and Diabetes Institute, Melbourne, Australia, 9Molecular Cardiology, Heinrich-Heine-University, Düsseldorf, Germany |
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Thromboinflammation is characterized by a close interaction of immune cells, platelets and components of the coagulation cascade. This impairs the systemic spread of pathogens, but can also foster the development and progression of cardiovascular diseases like deep vein thrombosis, atherosclerosis or myocardial infarction. Non-invasive visualization of thromboinflammation is challenging, because it requires the simultaneous imaging of thrombosis and immune cells. In this context, 19F MRI offers unique opportunities because of the large chemical shift range of the 19F-atoms and the availability of perfluorocarbons with individual spectral signatures that enables the visualization of thromboinflammatory processes by multispectral 19F MRI. |
10:15
|
Translational Molecular CMR of Inflammatory & Cell Fate Processes | |
| Ulrich Floegel1 | ||
1Heinrich Heine University, Düsseldorf, Germany |
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The present talk demonstrates that both human and murine neutrophils can be specifically targeted to track their dynamic trafficking by non-invasive MRI in vivo. In clinical translation, this approach will allow not only to identify hidden origins of bacterial or sterile inflammation in patients but also to unravel cardiovascular disease states that are on the verge of severe aggravation due to enhanced neutrophil infiltration or activation. |
10:45
|
Novel Contrasts & Characterizations of Coronary Architecture | |
| Rene Michael Botnar1 | ||
1King's College London, United Kingdom |
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Coronary artery disease remains the major cause of death in many western and developing nations. Magnetic resonance imaging offers the unique opportunity to provide comprehensive evaluation of CAD as it allows to interrogate coronary luminal narrowing and detect and characterise coronary plaque both with/without contrast agents. In this presentation, I will discuss the latest developments in coronary angiography and plaque imaging and review novel endogenous/exogenous contrasts for plaque characterisation. Special focus will be given to clinical validation studies that have compared novel coronary imaging sequences with reference standards such as X-ray, computed tomography, intravascular ultrasound and optical coherence tomography. |
11:15
|
Translational Molecular CMR of Inflammatory & Cell Fate Processes | |
| Gustav Strijkers1 | ||
1Academic Medical Center, Netherlands |
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Inflammation is a hallmark of multiple diseases and inflammatory factors can affect different systems in your body. Inflammatory cardiovascular diseases, including endocarditis and sarcoidosis, present a diagnostic challenge, and the inflammatory response after myocardial infarction stimulates adverse myocardial remodeling. Hence, there is a great need for the direct non-invasive visualization and quantification of myocardial inflammation to improve clinical diagnosis and decision making.In this educational presentation I will discuss the need for non-invasive imaging of inflammation and the pros and cons of several established and emerging MRI techniques for imaging of myocardial inflammation, including the use of iron-oxides and hyperpolarized substrates. |
9:15
|
Image Reconstruction for Clinicians | |
| Katherine Wright1 | ||
1University of Michigan, United States |
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This presentation will review basic and advanced MR image reconstruction methods. Raw data in MRI are not collected directly in the image domain. They are collected in k-space, where each data point contains information about the entire object being imaged. k-space data must be transformed into an image, a process called image reconstruction, which is most often performed by applying the Fourier Transform. We will review properties of k-space and the relationship between k-space and image domains, as these are key to understanding most reconstruction methods. Next, we will review several reconstruction methods that are used on clinical MRI scanners. |
9:45
|
Techniques & Terminology Across Vendors | |
| Matthias Gunther1 | ||
1Fraunhofer MEVIS, Germany |
||
MRI is the medical imaging modality with by far the largest diversity of “imaging modes” (aka MR sequences). There seems to be the habit in the MR community to compete in terms of fantasy when it comes to sequence naming. Over the past, this has led to a huge variety of different acronym denoting MR sequence, which are closely related, but still carry different names. Very minor changes seem to justify the creation of new acronyms. This makes the field of MR sequences challenging. Fortunately, dictionaries of acronyms exist to guide one through this jungle (for links see reference section). |
10:15
|
Addressing Patient-Related Artifacts: Implants & Motion | |
| Ives R Levesque1 | ||
1McGill University, Canada |
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This lecture will review the manifestations, fundamental physics, and mitigation strategies of patient-related artifacts, namely those that arise from motion and from implants. In the first portion, artifacts arising from implants will be addressed, focusing on susceptibility induced signal dropout, image distortion, and signal displacement. In the second portion, we will turn to the broad category of motion-related artifacts to explore how various sources of motion corrupt MR images. Possible “confound” artifacts will be included. Approaches for mitigation of these artifacts will be discussed, emphasizing the practical tradeoffs and the latest solutions proposed in research. |
10:45
|
Translating New Methods to the Clinic: A Practical Guide | |
| Jamie MacKay1,2 | ||
1Radiology, Norfolk & Norwich University Hospital, United Kingdom, 2Norwich Medical School, University of East Anglia, Norwich, United Kingdom |
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This session will outline the key practical steps in translating a novel MRI method into the clinic. The challenges at each step will be discussed, with an emphasis on the important difference between clinical validation and demonstration of clinical utility.
My talk will be illustrated by examples of MRI methods which have been successful & unsuccessful at each stage of the translation process. In particular, we will consider whole-body MRI and quantitative cartilage MRI as exemplars of MRI methods which have been more or less successful in translation to the clinic. |
| 197 | Pitch: 9:15 Poster: 9:17 Plasma 1
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Diffusely abnormal white matter microstructural changes are similar across the clinical phenotypes of multiple sclerosis |
| Irene Margaret Vavasour1,2, Pierre Becquart1, Tigris Joseph1,2, Jasmine Gill1, Guojun Zhao3, Farhia Abdullahi1, Emily Kamma1, Kaya Frese1, Robert Carruthers1, Shannon H Kolind1,2,3, Alice Schabas1, Ana-Luiza Sayao1, Virginia Devonshire1, Roger Tam1,3, GR Wayne Moore1,2, Sophie Stukas1, Cheryl Wellington1, Jacqueline Quandt1, Anthony Traboulsee1,3, David Li1,3, and Cornelia Laule1,2 | ||
1University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 3MSMRI Research Group, Vancouver, BC, Canada |
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Diffusely abnormal white matter (DAWM) is commonly found on conventional brain MRI in all stages of multiple sclerosis (MS). Blood markers associated with prior or ongoing myelin and axonal damage were not found to be elevated in people with DAWM relative to people without DAWM. Within areas of DAWM, no differences between MS phenotypes were found possibly suggesting that the tissue abnormalities within DAWM are similar across the clinical course, from early to late stages of MS. |
| 198 | Pitch: 9:17 Poster: 9:19 Plasma 2
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In pursuit of the central vein sign in multiple sclerosis in the cervical spinal cord at 7T |
| Ryan K Robison1,2,3, Atlee A Witt4, Anna JE Combes2,3, Kristin P O'Grady2,3, Logan E Prock3, Delaney Houston5, Dann C Martin5, Margareta Clarke5, and Seth A Smith2,3 | ||
1Philips, Nashville, TN, United States, 2Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Vanderbilt University Institute of Imaging Sciences, Nashville, TN, United States, 4Vanderbilt University School of Medicine, Nashville, TN, United States, 5Vanderbilt University Medical Center, Nashville, TN, United States |
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Central vein sign is believed to be a specific marker for the diagnosis of multiple sclerosis (MS) but has not yet been reported in the spine. This work used SWI in the cervical spinal cord of MS patients and healthy controls at 7T to look for evidence of central veins. SWI hypointensities were observed frequently around the cord periphery, between the white and grey matter within the cord, and along nerve roots. Hypointensities were also observed within spinal cord lesions, providing candidate evidence of central veins in lesions of the spinal cord. |
| 199 | Pitch: 9:19 Poster: 9:21 Plasma 3
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Improved Automated Central Vein Sign Assessment by Multi-Level Classification |
| Till Huelnhagen1,2,3, Omar al Louzi4,5, Lynn Daboul4, Jonas Richiardi2, Daniel S. Reich4, Tobias Kober1,2,3, and Pascal Sati5 | ||
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, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Central vein sign (CVS) assessment has shown potential to improve differential diagnosis in multiple sclerosis, but automating this task remains non-trivial. As human inter-rater agreement was reported to improve by separating the tasks of lesion exclusion and CVS assessment, we hypothesized that this could also benefit automated CVS assessment. To test this hypothesis, we implemented a novel multi-level classifier for automated CVS assessment and trained and evaluated it in more than 9400 expert-reviewed lesions. The new approach outperforms previous methods, achieving per-class accuracies of 76%–83% in an unseen testing set and >90% accuracy to identify MS cases. |
| 200 | Pitch: 9:21 Poster: 9:23 Plasma 4
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A Deep-Learning Approach to Predicting Disease Progression in Multiple Sclerosis Using Magnetic Resonance Imaging |
| Loredana Storelli1, Matteo Azzimonti1,2, Mor Gueye1,2, Paolo Preziosa1,2, Carmen Vizzino1, Gioacchino Tedeschi3, Nicola De Stefano4, Patrizia Pantano5,6, Massimo Filippi1,2,7,8,9, and Maria A. Rocca1,2,9 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania “Luigi Vanvitelli”, Maples, Italy, 4Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy, 5Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy, 6IRCCS NEUROMED, Pozzilli, Italy, 7Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 8Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy, 9Vita-Salute San Raffaele University, Milan, Italy |
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Artificial intelligence (AI) approaches have been applied in several fields of multiple sclerosis (MS) in recent years. However, their application to predict disease progression remains largely unexplored. In this study, we obtained a robust and accurate AI tool for predicting clinical and cognitive evolution at two years for MS patients, based on just T1-weighted and T2-weighted brain MRI scans at baseline visit, which exceeded the performance of two expert physicians blinded to patients’ clinical history. This algorithm has the potential to be an important tool to support physicians for a prompt recognition of MS patients at risk of disease worsening. |
| 201 | Pitch: 9:23 Poster: 9:25 Plasma 5
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A Multi-Stage 3D Patch-wise Deep Learning Algorithm for Detection of New Multiple Sclerosis Lesions in Longitudinal MRI |
| Junghwa Kang1, Siyun Jung1, Jeongmin Yim2, Jinhee Jang3, and Yoonho Nam1 | ||
1Division of biomedical engineering, Hankuk University of Foreign Studies, gyunggi-do,yongin-si, Korea, Republic of, 2College of Medicine, Catholic University of Korea, Seoul, Korea, Republic of, 3Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of |
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Detecting changes in multiple sclerosis (MS) lesions through follow-up MR images is an important but time-consuming and subjective process. In this work, we propose a fully automatic deep learning-based method to detect new MS lesions. The model was trained and tuned using the MSSEG2 challenge dataset. First, the brain and spinal cord masks were generated, and registration between two time points was performed. Then, new lesions and whole lesions were segmented by patch-wise inputs, respectively. The final mask for new lesions was produced by comparing these two segmentations, and in this way we could effectively reduce false-positives. |
| 202 | Pitch: 9:25 Poster: 9:27 Plasma 6
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Multiple sclerosis T2 lesion volume correlates weakly with myelin water fraction |
| Tigris S. Joseph1,2, Hanwen Liu2,3,4, Guojun Zhao4, Shannon H. Kolind1,2,4,5, Robert Carruthers4, Alice Schabas4, Ana-Luiza Sayao4, Virginia Devonshire4, Roger Tam5,6, G. R. Wayne Moore2,4,7, David K. B. Li4,5, Anthony Traboulsee4, Irene M. Vavasour2,5, and Cornelia Laule1,2,5,7 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3Montreal Neurological Institute - Hospital, McGill University, Montreal, QC, Canada, 4Medicine, University of British Columbia, Vancouver, BC, Canada, 5Radiology, University of British Columbia, Vancouver, BC, Canada, 6School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 7Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada |
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Multiple sclerosis (MS) lesion volume is commonly reported but is not pathologically specific or strongly associated with MS disability. Lesions are not necessarily demyelinated, which may be why lesion volume and disability are not strongly correlated. MS lesion volume was compared to Myelin Water Imaging (MWI) derived metrics related to myelin content (myelin water fraction) and inflammation (geometric mean T2) in MS normal appearing white matter and lesions. Weak correlations were observed between lesion volume and MWF, highlighting that the amount of lesional tissue does not reflect the degree of myelin damage within the brain. |
| 203 | Pitch: 9:27 Poster: 9:29 Plasma 7
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Mapping the myelin bilayer with short-T2 MRI: Application to ex-vivo multiple sclerosis brain tissue |
| Emily Louise Baadsvik1, Markus Weiger1, Romain Froidevaux1, Wolfgang Faigle2, Benjamin Victor Ineichen3, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Neuroimmunology and MS Research Section, Neurology Clinic, University of Zurich, University Hospital Zurich, Zurich, Switzerland, 3Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland |
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Signal from the myelin bilayer can be captured using dedicated short-T2 imaging techniques, and analysis methods to isolate the contribution of the bilayer from other signal sources have been proposed. However, such analysis methods are often validated on samples in which the background water signal has been suppressed. Thus, it is unclear whether these techniques can successfully map myelin content in a clinical setting. Here, we apply and evaluate a previously proposed technique for myelin mapping to multiple sclerosis brain tissue without water suppression. We conclude that the quality of the myelin maps is comparable to that of water-suppressed samples. |
| 204 | Pitch: 9:29 Poster: 9:31 Plasma 8
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Myelin water and multi-shell diffusion imaging provide unique information about multiple sclerosis myelin and axonal damage |
| Tigris S. Joseph1,2, Hanwen Liu2,3,4, Shannon H. Kolind1,2,4,5, Guojun Zhao4, Peng Sun6, Robert Carruthers4, Alice Schabas4, Ana-Luiza Sayao4, Virginia Devonshire4, Roger Tam5,7, G. R. Wayne Moore2,4,8, David K. B. Li4,5, Sheng-Kwei Song9, Anthony Traboulsee4, Irene M. Vavasour2,5, and Cornelia Laule1,2,5,8 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3Montreal Neurological Institute - Hospital, McGill University, Montreal, QC, Canada, 4Medicine, University of British Columbia, Vancouver, BC, Canada, 5Radiology, University of British Columbia, Vancouver, BC, Canada, 6Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 7School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 8Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 9Radiology, Washington University, St. Louis, MO, United States |
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Myelin Water Imaging (MWI), Diffusion Basis Spectrum Imaging (DBSI) and Neurite Orientation Dispersion and Density Imaging (NODDI) were used to assessed relationships between myelin and axon-related measures in 122 multiple sclerosis (MS) participants and 16 healthy controls. Neurite density index (NDI) correlated strongly with radial diffusivity and weakly with myelin water fraction, suggesting that radial diffusivity also captures diffusion in dendrites. The lack of correlation between NDI and fiber fraction was surprising given that both metrics are meant to relate to axon density. MWI, DBSI and NODDI provide unique and complementary information about MS damage. |
| 205 | Pitch: 9:31 Poster: 9:33 Plasma 9
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Imaging Optic Nerve Pathology and Dysfunction in Multiple Sclerosis Using Diffusion Basis Spectrum imaging |
| Tsen-Hsuan (Abby) Lin1, William M Spees1, Michael Wallendorf2, Peng Sun1,3, Junqian Xu4, Anne H Cross5,6, and Sheng-Kwei Song1,6 | ||
1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Biostatistics, Washington University School of Medicine, St. Louis, MO, United States, 3Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 4Radiology, Baylor College of Medicine, Houston, TX, United States, 5Neurology, Washington Univeristy School of Medicine, St. Louis, MO, United States, 6Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States |
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We have introduced diffusion basis spectrum imaging (DBSI) to detect, differentiate, and quantify coexisting pathologies in people with multiple sclerosis (MS). Recently, we performed functional DBSI and DTI with flashing-checkerboard stimulation. DBSI-derived radial diffusivity (DBSI-RD) decreased significantly during visual stimulation while DTI-RD did not change. In this study, we employed fDBSI to assess optic nerve function and pathology simultaneously in MS. Axonal loss and vasogenic edema/increased extracellular space attenuated optic nerve response to visual stimulation. |
| 206 | Pitch: 9:33 Poster: 9:35 Plasma 10
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Three dimensional multi-parameter brain mapping using MR fingerprinting for characterization of multiple sclerosis lesions |
| Rajiv G Menon1, Azadeh Sharafi1, Marco Muccio1, Tyler E. Smith2, Ilya Kister2, Yulin Ge1, and Ravinder R Regatte1 | ||
1Center for Biomedical Imaging, Grossman school of Medicine, NYU Langone Health, New York, NY, United States, 2Department of Neurology, Grossman School of Medicine, NYU Langone Health, New York, NY, United States |
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A 3D multi-parameter MRF imaging technique capable of quantifying 4 different parameters (T1, T2, T1ρ, B1) was developed for multiple sclerosis(MS) application. The 3D-MRF technique was tested with multiple shots on a standardized NIST/ISMRM phantom, and brain imaging in 5 healthy volunteers. The 3D-MRF was also tested on two MS patients with chronic and enhancing MS lesions. The phantom studies demonstrate that quantitative maps are in agreement with reference, healthy volunteer studies show the agreement between multiple shots and SNR improvement with increasing shots. The MS patient results demonstrate the potential use of mutli-parameter quantitative mapping for WM characterization. |
| 207
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9:15
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Simultaneous hemodynamic and structural imaging of ischemic stroke with MR Fingerprinting ASL |
| Hongli Fan1,2, Pan Su2, Doris Da May Lin3, Emily B. Goldberg3, Alexandra Walker3, Richard Leigh3, Argye E. Hillis3, and Hanzhang Lu1,2,4 | ||
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Tissue perfusion and structural imaging provides important information in the evaluation of ischemic stroke. MR-fingerprinting (MRF) arterial spin labeling (ASL) is a novel noninvasive method of ASL perfusion that allows simultaneous estimation of cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 map in a single scan of <4 minutes. Here we evaluated the utility of MRF-ASL in ischemic stroke patients in depicting hemodynamic and structural abnormalities, as well as predicting neurological deficits and disability. |
| 208
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9:27
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Evaluation of a full dynamic density adapted radial 4D-pcASL angiography sequence exploiting B1+-shimming and ramped SPINS excitation at 7T |
| Christian R. Meixner1, Max Müller1, 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 (FAU), Erlangen, Germany, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, 3Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander- Universität Erlangen-Nürnberg (FAU), Erlangen, Germany |
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In this work, a whole-brain 4D-pcASL angiography sequence exploiting a radial density-adapted gradient echo readout with golden angle sampling was implemented and evaluated on a 7T system. Various parallel transmission (pTx) strategies were compared to the standard circularly polarized mode: To counteract low transmit efficiency in the labeling, B1+-shimming was used in combination with a full spiral-nonselective pTx-optimized readout train. Further, constant flip angle pTx-excitations in the readout were compared to pTx-pulses that were ramped from 3.5° to 6.5° using a linear scaling factor. This ramped readout strategy outperforms constant flip angles and reveals more of the vascular tree |
| 209 | 9:39
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A prospective patient study using pseudocontinuous Arterial Spin Labeling to detect pulmonary embolism: preliminary results of an ongoing study |
| Ferdinand Seith1, Cecilia Zhang1, Manuel Kolb1, Brigitte Gückel1, Rolf Pohmann2, Petros Martirosian3, and Ahmed E. Othman1,4 | ||
1Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany, 2High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Section on Experimental Radiology, University Hospital of Tübingen, Tübingen, Germany, 4Neuroradiology, University Hospital of Mainz, Mainz, Germany |
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We present preliminary results of a prospective study of 96 patients examined with pCASL-MRI of the lung with suspected pulmonary embolism. pCASL-MRI of the lung was acquired in a 1.5T scanner by labeling the pulmonary trunk during systole. Coronal, sagittal and axial images were acquired using a fast bSSFP sequence. Additionally, a mulit-slice coronal bSSFP imaging the whole lung was performed. Two blinded readers evaluated MR-images to detect pulmonary embolism and noted the diagnostic confidence (5=very good). Compared to CT, sensitivity and specificity were 0.971 and 0.951. The median diagnostic confidence was 5 in both readers (kappa 0.739). |
| 210 | 9:51
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Associations between cerebral microvascular hemodynamics and white matter lesion burden in typically aging older adults |
| Meher R Juttukonda1,2, Kimberly A Stephens1, Yi-Fen Yen1,2, Casey M Howard1, Jonathan R Polimeni1,2, Bruce R Rosen1,2, and David H Salat1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States |
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Hypoperfusion is frequently considered a cause of age-related white matter lesions (WML). However, reductions in oxygen availability to brain tissue may also be caused by impaired oxygen extraction fraction (OEF). Here, we tested the hypothesis that venous hyperintense signal (VHS) in arterial spin labeling (ASL) MRI is indicative of impaired OEF in typically aging older adults. In participants aged 60–80 years (n=40), we measured VHS with ASL and maximum OEF (OEFmax) with dynamic susceptibility contrast MRI. Lower OEFmax was uniquely associated with higher WML volume in participants with VHS, indicating a potentially distinct cerebrovascular aging pattern in these individuals. |
| 211 | 10:03
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First in vivo Myocardial Perfusion Measurements using Intra-arterial Spin Labeling during MR-guided Coronary Interventions in Pigs |
| Simon Reiss1, Kevin Waescher1, Thomas Lottner1, Ali Caglar Özen1,2, Timo Heidt3, Constantin von zur Mühlen3, and Michael Bock1 | ||
1Dept. of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Dept. of Cardiology and Angiology I, University Hospital Freiburg and Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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Arterial spin labeling (ASL) provides a method for myocardial perfusion quantification without exogenous contrast agents. In MR-guided coronary catheterizations, perfusion measurements can provide a valuable tool to diagnose myocardial perfusion deficits and monitor the success of the intervention. In these interventions, catheters are usually visualized by active receive RF coils attached to the catheter. Using these active coils in transmit mode would enable intra-arterial spin labeling (iASL) in the coronary arteries with an increased labeling efficiency compared to conventional ASL. Here, we show the first in vivo results using iASL for myocardial perfusion measurements during coronary interventions in pigs. |
| 212
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10:15
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BBB water exchange rate and permeability mapping with multi-delay diffusion weighted pseudo-continuous arterial spin labeling |
| Xingfeng Shao1 and Danny JJ Wang1 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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We proposed a new sequence which improves the SNR of diffusion weighted ASL signals, and simultaneously estimates kw, water extraction ratio (Ew) and PSw using a multi-delay approach with PLDs ranging from 1500 to 2700 msec. Whole brain average CBF = 67.8±6.7 ml/100g/min, kw = 103.7±16.6 min-1, Ew = 94.8±1.3% and PSw = 202.2±41.3 ml/100g/min. These results match the recent literatures on kw and PSw studies. Ew ~95% suggests two long PLDs of 2400 and 2700 msec are sufficient to allow complete water extraction. |
| 213 | 10:27
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Use of pCASL MRI to quantify Cerebral Blood Flow and Blood-Brain Barrier Permeability in Patients with Ischemic Stroke |
| Nikolaos Mouchtouris1, Mahdi Alizadeh2, Adam Flanders2, Chengyuan Wu1, Feroze Mohamed2, Reid Gooch1, Stavropoula Tjoumakaris1, and Pascal Jabbour1 | ||
1Neurosurgery, THOMAS JEFFERSON UNIVERSITY HOSPITAL, Philadelphia, PA, United States, 2Radiology, THOMAS JEFFERSON UNIVERSITY HOSPITAL, Philadelphia, PA, United States |
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In this pilot study, we apply diffusion-prepared pseudo-continuous arterial spin labeling (DP-pCASL) non-contrast MRI sequence to patients with anterior circulation ischemic strokes and determine the cerebral blood flow (CBF) and blood-brain barrier (BBB) permeability in the affected vascular territories. When comparing their imaging findings to 24 control hemispheres (12 healthy volunteers), we demonstrated that both the CBF and BBB of the affected MCA territory was significantly lower than the MCA territories in healthy volunteers. Additionally, the BBB permeability in the affected territory appears to be elevated in acute ischemic strokes but decreases in subacute strokes. |
| 214
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9:15
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Motion-Corrected 4D-Flow for Neurovascular Applications |
| Leonardo A Rivera-Rivera1, Steven Kecskemeti1, Mu-Lan Jen1, Zach Miller1, Sterling C Johnson1, Laura Eisenmenger1, and Kevin M Johnson1 | ||
1University of Wisconsin, Madison, Madison, WI, United States |
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Accurate and precise assessment of neurovascular flow in the brain requires high image fidelity which can be difficult to obtain in populations with high tendencies to move, such as geriatrics and pediatrics. This study presents a 3D radial sampling and multi-scale low rank image reconstruction for self navigated motion correction of 4D-Flow with validations in phantom and invivo studies. |
| 215
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9:27
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Free-running 3D anatomical and flow MRI using Synchronization of Neighboring Acquisitions by Physiological Signals (SyNAPS) |
| Mariana B. L. Falcão1, Adèle L.C. Mackowiak1, Simone Rumac1, Mario Bacher1,2, Giulia Rossi1, Milan Prša3, Estelle Tenisch1, Tobias Rutz4, Jessica Bastiaansen1,5,6, Ruud Van Heeswijk1, Peter Speier2, Michael Markl7,8, Matthias Stuber1,9, and Christopher W. Roy1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Woman- Mother- Child Department, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Service of Cardiology, Centre de Resonance Magnétique Cardiaque (CRMC), University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), University hospital Bern (Inselspital), Bern, Switzerland, 6Translational Imaging Center, sitem-insel, Bern, Switzerland, 7Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 8Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 9Center for Biomedical Imaging (CIBM), Lausanne, Switzerland |
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We introduce a novel method for combining multiple free-running MRI acquisitions together, through the use of cardiac and respiratory signal extraction with Pilot Tone navigation called Synchronization of Neighboring Acquisitions by Physiological Signals (SyNAPS). We demonstrate the initial feasibility and utility of SyNAPS on a setup for joint reconstruction of back-to-back dynamic anatomical and flow MRI acquisitions, here named 4D flow SyNAPS. Overall, 4D flow SyNAPS enabled an improved structural visualization, when compared to the magnitude images from free-running 4D flow datasets alone, and the resulting flow measurements showed better agreement with reference 2D flow acquisitions. |
| 216
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9:39
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RR-Resolved 5D flow for Decoding the Impact of Cardiac Rhythm on Left Atrial Flow Dynamics in Atrial Fibrillation and Stroke |
| Justin Baraboo1, Elizabeth Weiss1, Maurice Pradella1, Liliana Ma1, Julia Hwang1, Suvai Gunasekaran1, Mariana Falcão2, Christopher W Roy2, Matthias Stuber2, Rod Passman1, Daniel Kim1, and Michael Markl1 | ||
1Northwestern University, Chicago, IL, United States, 2University of Lausanne, Lausanne, Switzerland |
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RR-resolved 5D flow is a novel MRI technique that can acquire time-resolved 3D hemodynamics for varying RR-interval durations during atrial fibrillation (AF) (5D = 3D+cardiac time+RR-interval duration). The purpose of this study was to apply RR-resolved 5D flow MRI in a cohort of AF patients with and without a prior history of stroke. We saw significantly lowered left atrial peak velocities and trends toward higher atrial blood stasis in AF patients with previous stroke history vs no previous stroke history who underwent arrhythmia during MRI acquisition. RR-resolved 5D flow may be a promising approach for cardiovascular imaging in arrhythmic patients. |
| 217 | 9:51
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Impact of 4D-flow MRI spatial resolution on quantitative hemodynamics in 3D-printed aortic dissection models with varying tear size |
| Judith Zimmermann1,2, Kathrin Bäumler1, Tyler E Cork1,3, Michael Loecher1,4, Alison L Marsden3,5, Dominik Fleischmann1, and Daniel B Ennis1,4 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Computer Science, Technical University of Munich, Garching, Germany, 3Department of Bioengineering, Stanford University, Stanford, CA, United States, 4Division of Radiology, Veterans Affairs Health Care System, Palo Alto, CA, United States, 5Department of Pediatrics, Stanford University, Stanford, CA, United States |
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Understanding flow dynamics in type-B aortic dissection (TBAD) is of high clinical interest to predict complications and individualize treatment. Here, we sought to evaluate 4D-flow MRI at high and low spatial image resolution, in comparison to high resolution, high signal-to-noise 2D phase contrast MRI. Further, we compare TBAD hemodynamics and flow alterations owing to changes in tear size. We leverage novel 3D printing technology to manufacture three compliant TBAD models with altered tear morphology and perform pressure- and flow-controlled MRI with an advanced in vitro flow setup. |
| 218
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10:03
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Synthesis of 4D Flow Tensor MRI of Patient-Specific Turbulent Flow |
| Pietro Dirix1, Stefano Buoso1, Eva Peper1, and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland |
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We present a pipeline to synthesize patient-specific pulsatile turbulent 4D flow MRI datasets of the aorta. Aortic motion and inflow are extracted from in-vivo 2D cine and time-resolved 2D phase-contrast data. Computational fluid dynamics is used to obtain 4D velocity and turbulence fields to simulate MR signals using multipoint 4D flow tensor MRI protocols, which are reconstructed into velocity and turbulence maps with a Bayesian approach. As a result, realistic paired data of ground truth and their projection into MR images enable assessing accuracy and precision of encoding and inference, training of inference machines and, ultimately, deriving optimal experimental designs. |
| 219 | 10:15
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Longitudinal associations between 4D flow MRI intracranial pulsatility, white matter lesions, and perivascular space dilation across 5 years |
| Tomas Vikner1, Nina Karalija1,2, Anders Eklund1,2, Jan Malm3, Lars Nyberg1,2,4, and Anders Wåhlin1,2,5 | ||
1Department of Radiation Sciences, Umeå University, Umeå, Sweden, 2Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden, 3Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden, 4Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden, 5Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden |
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Small vessel disease (SVD) is associated with elevated vascular stiffness and pulsatility, but longitudinal studies are lacking. Using a 4D flow MRI approach sensitive to age-differences in pulsatility in large and small cerebral arteries, we evaluated 5-year changes in pulsatility in relation to changes in white matter lesions (WML) and perivascular spaces (PVS), radiological markers of SVD. Pulsatility change correlated with WML and PVS volume change, but pulsatility at baseline did not predict WML and PVS progression. However, WML and PVS volumes at baseline predicted 5-year pulsatility change, suggesting that microvascular dysfunction associated with SVD accelerates pulsatility increases. |
| 220 | 10:27
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Improved Agreement of Cerebral Arterial Blood Flow Velocity Measures Using 3D Quantitative QISS MRA |
| Ioannis Koktzoglou1,2, Rong Huang1, and Robert R Edelman1,3 | ||
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2Radiology, Pritzker School of Medicine, University of Chicago, Chicago, IL, United States, 3Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States |
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Quantitative time of flight (qTOF) is a recently described 3D magnetic resonance angiography (MRA) technique for simultaneous luminal and hemodynamic evaluation of the intracranial arteries, that provides higher contrast-to-noise ratio efficiency than 3D phase contrast (PC) MRA and reduces in-plane flow displacement artifacts visible on standard 3D TOF MRA. We hypothesized that the use of a quiescent interval slice-selective-based data acquisition strategy (qQISS) that boosts arterial-to-background contrast might improve the quantitation of intracranial arterial flow velocity. Compared to qTOF MRA, we found that qQISS MRA improved agreement with PC MRA for measuring intracranial blood velocity. |
| 221 | 9:15
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Mapping of Metabolite Profile of Urine of Patients with Chronic Prostatitis, Prostate Cancer and Healthy Controls: A Pilot NMR Metabolomic Study |
| Naranamangalam R Jagannathan1,2,3, R Ravikanth Reddy1, Arun Kumar Shirshetty4, Samsudeen Marwan5, Deepak Masanam4, and Ananathakrishanan Sivaraman5 | ||
1Dept. of Radiology, Chettinad Hospital & Research Institute, Kelambakkam, India, 2Dept. of Electrical Engineering, Indian Institute of Technology, Chennai, India, 3Radiology, Sri Ramachandra Inst. of Higher Education and Research, Chennai, India, 4Dept. of Urology, Chettinad Hospital & Research Institute, Kelambakkam, India, 5Chennai Urology and Robotics Institute Hospital, Chennai, India |
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The present study aims to evaluate a comprehensive metabolic profiling of patients with chronic prostatitis (PT) by investigating their urine samples and compare it with the prostate cancer (PCa) patients and healthy controls (HC) using 1H nuclear magnetic resonance (NMR) metabolomics. The metabolic profile of chronic prostatitis patients falls between that seen for PCa and HC. This pilot study showed that NMR metabolomics may be useful to differentiate patients with PT from PCa and HC. |
| 222 | 9:27
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Highly Accelerated T2 and Diffusion Weighted Imaging of the Prostate by Combining Compressed SENSE, Sparse Sampling and Deep Learning |
| Felix N. Harder1, Kilian Weiss2, Thomas Amiel3, Johannes M. Peeters4, Robert Tauber3, Marcus R. Makowski1, Andreas P. Sauter1, Jürgen E. Gschwend3, Dimitrios C. Karampinos1, and Rickmer F. Braren1 | ||
1Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Department of Urology, Technical University of Munich, School of Medicine, Munich, Germany, 4Philips Healthcare, Best, Netherlands |
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Since prostate MRI is increasingly applied and yet limited by long acquisition times, we prospectively investigated the performance of a novel reconstruction algorithm, combining compressed sensing, parallel imaging and deep learning (C-SENSE AI) in patients with histologically proven prostate cancer. Highly accelerated T2w and DWI sequences were compared to clinical standard of reference T2w and DWI. C-SENSE AI enabled 58% acceleration in T2w imaging and 47% acceleration in DWI of the prostate while obtaining significantly better image quality and tumor detection. C-SENSE AI seems particularly interesting in view of the need for accelerated prostate MRI with preserved high image quality. |
| 223 | 9:39
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300 mT/m diffusion MRI 'below the neck': First results in healthy prostate |
| Malwina Molendowska1, Marco Palombo1, Fabrizio Fasano2,3, Derek K. Jones1, Daniel C. Alexander4, Eleftheria Panagiotaki4, and Chantal Tax1,5 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Siemens Healthcare Ltd, Camberly, United Kingdom, Camberly, United Kingdom, 3Siemens Healthcare GmbH, Erlangen, Germany, Erlangen, Germany, 4Centre for Medical Image Computing, University College London, London, United Kingdom, 5Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands |
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This work showcases the first ever use of ultra-strong gradient in ’below the neck’ human MRI. It assesses the benefits, compared to more commonly-available gradient strengths, of 300mT/m gradients for comprehensive characterization of the prostate gland. Leveraging such gradient amplitudes enables unique tissue contrasts, with a potential to improve specificity and/or sensitivity of current MRI methods for prostate cancer characterisation and detection. |
| 224 | 9:51
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A multimodality, MRI positive-contrast fiducial marker for prostate cancer treatment: first-in-patient experience with proton therapy |
| Jeremiah Sanders1, Li Wang2, Falk Poenisch3, Narayan Sahoo3, Xiaorong Zhu3, Jingfei Ma1, Seungtaek Choi4, Quynh Nguyen4, Henry Mok4, Chad Tang4, Katina Crabtree4, Sean McGuire4, Karen Hoffman4, Shalin Shah4, and Steven Frank4 | ||
1Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 2Experimental Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX, United States, 3Radiation Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 4Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX, United States |
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Carbon and gold fiducial markers (FMs) are the most commonly used FMs for prostate radiotherapy. However, these markers do not produce positive contrast on MRI, and can cause large magnetic susceptibility artifacts on MRI. These properties of carbon and gold FMs make their identification on MRI challenging and complicate treatment planning processes that use co-image registration of MRI with CT for radiotherapy treatments. A novel multimodality FM has been developed that produces positive contrast on four imaging modalities, including MRI. This work presents the first-in-patient experience using the multimodality FM for proton therapy of prostate cancer. |
| 225 | 9:15
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Transrectal magnetic resonance imaging and robot- guided focal laser ablation of prostate cancer: preliminary results of a phase 2 study. |
| Annemarijke Van Luijtelaar1, J.P. Michiel Sedelaar2, Joyce G.R. Bomers1, and Jurgen J. Fütterer1 | ||
1Medical Imaging, Radboudumc Nijmegen, Nijmegen, Netherlands, 2Urology, Radboudumc Nijmegen, Nijmegen, Netherlands |
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Magnetic resonance imaging-guided focal laser ablation is used as alternative to radical treatment while preserving healthy tissue and subsequently reduce treatment-related morbidity in patients with localized prostate cancer. Preliminary results of this prospective, non-randomized, clinical phase 2 study using a remote-controlled manipulator, show promising results in both oncological and functional outcomes in a group of 20 patients with low- to intermediate-risk (Gleason Score ≤ 4+3) prostate cancer. Transrectal magnetic resonance imaging-guided focal laser ablation is a promising outpatient procedure under local anesthesia for localized prostate cancer. It provides a fast and minimally-invasive strategy while reducing treatment related complications and side-effects. |
| 226 | 9:27
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Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids. |
| Derk J. Slotman1,2, Lambertus W. Bartels2, Aylene Zijlstra1, Inez M. Verpalen1, Jochen A.C. van Osch1, Ingrid M. Nijholt1, Edwin Heijman3,4, Miranda van 't Veer-ten Kate1, Erwin de Boer1, Rolf D. van den Hoed1, Martijn Froeling2, and Martijn F. Boomsma1 | ||
1Radiology, Isala Zwolle, Zwolle, Netherlands, 2Image Sciences Institute, Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, Netherlands, 3Faculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany, 4High Tech Campus, Philips Research Eindhoven, Eindhoven, Netherlands |
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The non-perfused volume (NPV) cannot be assessed repeatedly with contrast-enhanced imaging during MR-HIFU ablations of uterine fibroids, due to contrast agent dose constraints and safety concerns. In this study, synthetic contrast-enhanced (CE)-T1w scans were generated from diffusion weighted imaging (DWI) using deep learning-based image-to-image translation. A significant linear association was found between the NPV-ratios based on synthetic and paired reference CE-T1w scans (r=0.80, p<0.001). Radiologists agreed in 83% on treatment success based on synthetic and reference CE-T1w scans. This indicates that translation of DWI into synthetic CE-T1w scans has potential as method for gadolinium-free imaging of the NPV. |
| 227 | 9:39
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Application of Super-Paramagnetic Iron Oxide Nanoparticle to improve tumor visualization for MR-guided liver SBRT using Elekta Unity MR-Linac |
| Danny Lee1, Seungjong Oh1, Min-sig Hwang1, Mary McCauley1, Daniel Pavord1, Kyung Lim Yun1, Jason Sohn1,2, and Alexander V. Kirichenko1,2 | ||
1Radiation Oncology, Allegheny Health Network, Pittsburgh, PA, United States, 2Drexel University, Philadelphia, PA, United States |
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Ablative SBRT to liver malignancies on MRI-Linac is a novel and rapidly evolving technology allowing visualization of tumor and nearby organs at risk (OAR). Reliable identification of liver tumors has direct impact on radiotherapy planning and outcome. SPION agent Ferumoxytol® (Feraheme, AMAG Pharmaceuticals, Waltham, MA) was applied as MRI contrast during adaptive planning on Elekta Unity MR-Linac. Compared to the non-contrast images, liver tumors after Ferumoxytol® injection, were superiorly visible for accurate delineation during the entire treatment course. This study is the first to report the impact of SPION contrast agent on liver tumor visualization in a 1.5T Elekta MR-Linac. |
| 228 | 9:51
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A novel 4D-MRI method enabling real-time image streaming for tumor tracking in radiotherapy |
| Katrinus Keijnemans1, Pim Borman1, Bas Raaymakers1, and Martin Fast1 | ||
1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands |
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In MR-guided abdominothoracic radiotherapy, fast 2D imaging for MLC tracking and respiratory-correlated 4D imaging for dose accumulation is desirable. We developed a hybrid 2D/4D MRI method for pre-beam and beam-on imaging, which continuously acquires and reconstructs T2w coronal simultaneous multi-slice (SMS) images. Pre-beam 4D-MRIs were used to calculate a 3D mid-position reference image. Beam-on SMS data were used to extract real-time motion using a 4D-based motion model, and continuous 4D-MRIs. Dynamic updating of the 4D-motion model yielded the best real-time motion estimation. The presented hybrid 2D/4D MRI method can potentially facilitate novel MR-guided abdominothoracic radiotherapy workflows. |
| 229 | 10:03
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Integrated Multi-Task MR For Abdominal Adaptive Radiation Therapy |
| Junzhou Chen1,2, Pei Han2,3, Ye Tian4, Wensha Yang5, Debiao Li6,7, Krishna Nayak4, Yingli Yang8, Anthony Christodoulou6,9, and Zhaoyang Fan1,5,10 | ||
1Radiology, University of Southern California, Los Angeles, CA, United States, 2Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 5Radiation Oncology, University of Southern California, Los Angeles, CA, United States, 6Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7University of California, Los Angeles, Los Angeles, CA, United States, 8Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States, 9Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 10Biomedical Engineering, University of Southern California, Los Angeles, CA, United States |
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MR applications in radiation therapy has shown great promise for highly conformal treatment. However, MRgRT in the abdomen remains challenging due to motion and the sheer number of organs. In this work, we have demonstrated an integrated multi-task MR platform for adaptive radiation planning and treatment monitoring in the abdomen. In our proposed framework, from a single "pre-beam" scan we are able to generate a volumetric, multi-contrast and motion resolved images for adaptive treatment planning as well as enabling multi-contrast 3D real-time display during treatment. We demonstrate this capability in 3T and 0.55T. |
| 230 | 10:15
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Real-time 3D MRI for Low-Latency Volumetric Motion Tracking on a 1.5T MR-Linac System |
| Can Wu1, Neelam Tyagi1, Marsha Reyngold2, Christopher Crane2, and Ricardo Otazo1,3 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Real-time 3D MRI for low-latency volumetric motion tracking was successfully implemented on a 1.5T MR-Linac system using the MRSIGMA framework. A first scan was performed for offline learning to obtain a training dictionary of ten 3D motion states. A second scan with the same sequence parameters was performed to generate the motion signature in real-time for online matching and was also used as a reference for retrospective self-validation. The feasibility of the technique was demonstrated on a healthy volunteer and a patient with pancreatic cancer which presented high quantitative concordance between contours of real-time MRSIGMA matching and the reference. |
| 231 | 10:27
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Y-90 treatment lung shunting prediction of hepatocellular cancer using DCE MRI with kinetic modeling and quantitative transport mapping |
| Qihao Zhang1, Kyungmouk Steve Lee2, Thanh Nguyen3, Pascal Spincemaille2, and Yi Wang2 | ||
1Cornell University, Ithaca, NY, NY, United States, 2Weill Cornell Medical College, New York, NY, United States, 3Cornell University, New York, NY, United States |
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Trans-arterial radioembolization with yttrium-90 microspheres (TARE with Y90) is a treatment for patients with liver cancers, but requires the evaluation of lung shunting fraction (LSF). Currently, LSF is estimated using a separate invasive “dry-run” with a transient radioactive Technetium-99m macroaggregated albumin (Tc-99m-MAA) that doubles the cost and risk of TARE. This study proposes to predict LSF from dynamic contrast enhanced MRI (DCE MRI) and perfusion quantification. Our preliminary data demonstrated that it is feasible to estimate LSF as measured by Tc-99m-MAA from noninvasive DCE MRI using quantitative transport mapping (QTM) velocity. |
| 232 | 9:15
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Distortion- and ghosting-free high b-value ex vivo human brain diffusion MRI achieved with spatiotemporal magnetic field monitoring |
| Gabriel Ramos-Llorden1, Daniel Park1, Christian Mirkes2, Cameron M. Cushing3, Paul Weavers3, Hong-Hsi Lee1, Qiyuan Tian1, Alina Scholz4, Boris Keil4, Berkin Bilgic1,5, Anastasia Yendiki1, Thomas Witzel6, and Susie Y. Huang1,5 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2Skope Magnetic Resonance Technologies AG, Zurich, Switzerland, 3Skope Magnetic Resonance Inc, Lake Mills, WI, United States, 4Institute of Medical Physics and Radiation Protection, Giessen, Germany, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 6Q Bio Inc,, San Carlos, MA, United States |
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Whole brain ex vivo diffusion MRI needs high b-value encoding to compensate for the reduced diffusivity, requiring human brain scanners with ultra-strong diffusion gradients. At that regime, eddy currents become too severe, to the point image distortions and ghosting artifacts cannot be enough mitigated with conventional image reconstruction and post-processing approaches. On a 3T Connectom scanner , we demonstrate the importance of spatiotemporal field monitoring to measure and model eddy currents. When Fourier reconstruction is informed with the unwanted spatiotemporal evolution of the phase, distortion- and ghosting-free high-resolution DW images can be achieved. |
| 233
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9:27
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Field-Map Combination Method for Phase-Cycled bSSFP using Inherent Bo Mapping |
| Anjali Datta1, Dwight Nishimura1, and Corey Baron2 | ||
1Stanford University, Stanford, CA, United States, 2Western University, London, ON, Canada |
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Phase-cycled bSSFP enables off-resonance-robust bSSFP imaging. Conventional phase-cycle combination methods weight brighter phase-cycles more, assuming that passband signal is brighter than off-resonant signal. However, near-band signal can be hyperintense, most notably for flowing spins, so traditional methods fail to mitigate these artifacts. Incorporating knowledge of Bo enables inclusion of only passband signal, and exclusion of dark bands and near-band hyperintense artifacts. Using a golden-angle radial trajectory for a free-breathing, phase-cycled acquisition enables reconstruction of a Bo-map time series without any additional scans. This facilitates field-map-based combination throughout the respiratory and cardiac cycles, resulting in substantially reduced hyperintense artifacts than root-sum-of-squares. |
| 234 | 9:39
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Top-up algorithm for single k-space from single-shot EPI |
| Seon-Ha Hwang1, Hyun-Soo Lee2, Seung Hong Choi3, and Sung-Hong Park1 | ||
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Siemens Healthineers, Seoul, Korea, Republic of, 3Department of Radiology, Seoul National University College of Medicine, Seoul, Korea, Republic of |
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Top-up algorithm requires two EPI images with opposite gradient polarities to make one corrected image. Here, top-up algorithm with a single k-space is proposed for single-shot pseudo-centric EPI, where a k-space can be separated into two halves with opposite distortions. A field map could be estimated by applying top-up algorithm to the two halves. The estimated map compensated the distortions well while preserving inner brain structures. The proposed approach provided 1.8 times higher perfusion SNR than conventional linear EPI. The approach is promising for magnetization-prepared imaging that requires high SNR, high temporal resolution, and minimal distortion with no additional scan. |
| 235 | 9:51
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FieldMapNet MRI: Learning-based mapping from single echo time BOLD fMRI data to fieldmaps with model-based image reconstruction |
| Melissa W. Haskell1, Anish Lahiri1, Jon-Fredrik Nielsen2, Jeffrey A. Fessler1, and Douglas C. Noll2 | ||
1Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States |
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Artifacts due to B0 field off-resonance result in image distortions and blurring in non-Cartesian acquisitions. FieldMapNet is a learning-based method to map from each image in a spiral-in BOLD fMRI acquisition to a corresponding B0 fieldmap at that timepoint. We train FieldMapNet in a supervised fashion using custom data acquired at three echo times to generate ground truth dynamic fieldmaps. We then perform a tailored B0 correction at each fMRI timepoint using a model-based image reconstruction (MBIR). We show improved image space RMSE using FieldMapNet vs. a separately acquired GRE fieldmap, and a reduction in distortion artifacts and blurring. |
| 236 | 10:03
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Real-time shimming using FID navigators |
| Tess E Wallace1,2, Tobias Kober3,4,5, Jason P Stockmann1,6, Jonathan R Polimeni1,6, Simon K Warfield1,2, and Onur Afacan1,2 | ||
1Radiology, Harvard Medical School, Boston, MA, United States, 2Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 3Advanced Clinical Imaging Technology Group, Siemens Healthcare, Lausanne, Switzerland, 4Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 6Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States |
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Real-time B0 shimming enables improved compensation for the effects of dynamic field perturbations in MRI compared to retrospective approaches, which are computationally intensive and cannot compensate for inherent losses of information. FID navigators can rapidly characterize spatiotemporal field changes using a forward model that predicts the effect of B0 shim changes on the measured FID signal, making them ideally suited for real-time applications. In this work, we implement real-time field control using FID navigators to compensate for spatially linear field changes and demonstrate substantially improved T2*-weighted image quality in the presence of field perturbations in three volunteers scanned at 3T. |
| 237 | 10:15
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Receive Array Coil-driven Eddy Current Correction of Diffusion Weighted MRI Data |
| Negin Yaghmaie1,2, Warda T. Syeda3,4, Yasmin Blunck1,2, Rebecca Glarin1,5, Daniel Staeb6, Kieran O'Brien6, Scott Kolbe7,8,9, and Leigh A. 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, The University of Melbourne, Melbourne, Australia, 5Department of Radiology, Royal Melbourne Hospital, Melbourne, Australia, 6MR Research Collaborations, Siemens Healthcare Pty Ltd, Australia, 7Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia, 8Department of Radiology, Alfred Hospital, Melbourne, Australia, 9Department of Medicine and Radiology, The University of Melbourne, Melbourne, Australia |
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An eddy current correction algorithm is proposed that exploits the spatially distributed nature of the receive coil array with signal acquisition immediately preceding image readout in PGSE-EPI diffusion-weighted imaging. The array coil phase for each diffusion gradient direction is expanded using spherical harmonics to yield an estimate of the eddy current-induced field shift in the FOV, and the resultant eddy current-induced pixel shift maps. Distortion corrected diffusion-weighted images are subsequently produced using the estimated pixel shift maps for each diffusion direction, with the method demonstrated in phantom and in-vivo 7T experimental data. |
| 238 | 10:27
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Imaging eddy currents induced by crusher gradients using SPEEDI with sub-millisecond temporal resolution |
| Alessandro M Scotti1, Zheng Zhong2, and Xiaohong Joe Zhou1,3,4,5 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States, 5Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States |
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Crusher gradients, typically having very high amplitude, can induce a substantial amount of eddy currents, causing various artifacts. In order to fully characterize the spatiotemporal characteristics of the currents, we have developed a spin echo version of the previously reported SPEEDI technique. The method consists of a series of spin echo acquisitions where each echo point is assigned to a different k-space, reaching a temporal resolution equal to the dwell time. The measured phase difference between sequences with positive and negative crushers revealed B0 and linear eddy currents with time constants equal to the ones measured by the manufacturer’s tool. |
| 239 | 10:39
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Ultrashort Echo Time Double Echo Steady State (UTE-DESS) Imaging with Eddy Current Compensation |
| Hyungseok Jang1, Jiyo S Athertya1, Yajun Ma1, Alecio F Lombardi1, Saeed Jerban1, Christine B Chung1,2, Eric Y Chang1,2, and Jiang Du1 | ||
1Radiology, University of California, San Diego, San Diego, CA, United States, 2Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States |
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The double echo steady state (DESS) sequence has been investigated extensively due to its short scan time and flexible image contrast achieved from a combination of a free induction decay (FID)-like S+ signal and simulated echo-based S- signal. Ultrashort echo time-based DESS (UTE-DESS) has recently been proposed for imaging of short T2 tissues in the human knee joint, but the effect of eddy currents in this technique has not yet been investigated. In this study, we demonstrate the effects of B0 and linear eddy current and elucidate the importance of eddy current compensation (ECC) for reliable UTE-DESS imaging. |
| 240
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Pitch: 9:15 Poster: 9:17 Plasma 16
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Computationally tractable high resolution non-rigid motion compensated 3D abdominal image reconstruction |
| Tom Bruijnen1,2, Tim Schakel1, and Cornelis AT van den Berg1,2 | ||
1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR Therapy and Diagnostics, University Medical Center Utrecht, Utrecht, Netherlands |
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Respiratory and bulk organ motion remains a significant problem in abdominal 3D MRI. Motion compensated image reconstruction is a potential generic solution, but requires solving a large computational problem. In this work we propose to split the image reconstruction into sagittal planes to correct for the majority of respiratory and bulk organ motion. We demonstrate that the proposed method reconstructs high quality free-breathing T1 gradient echo images that are qualitatively comparable to breathhold scans. Future work will assess the feasibility of the method for dynamic contrast enhanced MRI and MR cholangiopancreatography. |
| 241 | Pitch: 9:17 Poster: 9:19 Plasma 17
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Deep Subspace Learning for Improved T1 Mapping using Single-shot Inversion-Recovery Radial FLASH |
| Moritz Blumenthal1, Xiaoqing Wang1,2, and Martin Uecker1,2,3 | ||
1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany, 2DZHK (German Centre for Cardiovascular Research), Göttingen, Germany, 3Institute of Medical Engineering, Graz University of Technology, Graz, Austria |
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Subspace based reconstructions can be used for quantitative imaging. We extend the recently added neural network framework in BART to support non-Cartesian trajectories and linear subspace constraint reconstructions. The network is trained to reconstruct coefficient maps from single-shot radial FLASH inversion recovery acquisitions. T1 maps are estimated using pixel-wise fitting to the signal model. The reconstruction quality of the coefficient and T1 maps are improved compared to an $$$\ell_1$$$-Wavelet regularized reconstruction. The subspace constraint network can be used for any linear subspace constraint reconstruction. |
| 242
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Pitch: 9:19 Poster: 9:21 Plasma 18
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Self-Calibrating Aliasing-Controlled Simultaneous Multi-Slice MR Image Reconstruction from Generalized 3D Fourier Encoding Perspective |
| Eun Ji Lim1, Chul-Ho Sohn2, Taehoon Shin3, and Jaeseok Park1,4 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 3Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Korea, Republic of, 4Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
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To jointly resolve inter-slice leakages and in-plane aliasing in undersampled SMS imaging, we proposed a novel, one-step solution for SMS-reconstruction optimally exploiting variable-density(VD) sampling from generalized 3D Fourier encoding perspective. Extended controlled aliasing is performed by upsampling VD sampled data in the kz-direction. A slice-specific null space operator is learned using extended self-calibration including CAIPI slices and in-plane images. Aliasing artifacts are jointly resolved in ky-and kz-directions by balancing null space consistency with a low rank prior while enforcing slice-specific VD-sampled data in 3D k-space. We demonstrated the proposed method outperforms competing methods at SMS=3,R=2 in head and knee. |
| 243 | Pitch: 9:21 Poster: 9:23 Plasma 19
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MRSI spectral quantification using linear tangent space alignment (LTSA)-based manifold learning |
| Chao Ma1,2 and Georges El Fakhri1,2 | ||
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States |
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Spectral quantification is a critical step in quantitative MRS/MRSI. The recently proposed subspace-based spectral quantification method represents the spectral distribution of each model as a subspace model and enables effective use of spatiospectral priors to improve parametric estimation. However, modeling spectral distribution of each metabolite as a separate subspace leads to a large number of unknowns, which renders the resultant parametric estimation problem challenging when SNR is low. To address this issue, we propose a new linear tangent space alignment-based method for MRSI quantification, leveraging the intrinsic low-dimensional structure information of the underlying MRSI signals for improved parametric estimation. |
| 244 | Pitch: 9:23 Poster: 9:25 Plasma 20
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Off-Resonance Self-Correction by Implicit Temporal Encoding: Performance at 7T |
| Franz Patzig1 and Klaas Paul Pruessmann1 | ||
1Institut for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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B0-induced distortions are a main caveat for trajectories with long readout durations, particularly at high field. Recently, B0 self-correction based on implicit temporal encoding by the coil array has been proposed and shown to be feasible at 3T. This work focuses on application of the approach at 7T. Performance analysis show that due to the increased strength of B0 inhomogeneities constant density bases to model B0 might not be sufficient. A variable density basis adapting to the gradient is proposed yielding spatially-dependent regularization. By means of this, reconstruction results can be improved demonstrating the feasibility of B0 self-correction at 7T. |
| 245 | Pitch: 9:25 Poster: 9:27 Plasma 21
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T1-weighted ZTE MRI with phase-modulated RF and a parallel imaging, inverse problem-based reconstruction |
| Shreya Ramachandran1 and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
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For fast T1-weighted imaging, zero echo time (ZTE) imaging provides rapid sampling of 3D k-space, but lacks T1 contrast due to its small flip angle excitation with short hard pulses. To efficiently increase T1 contrast, longer phase-modulated pulses can be used. However, longer pulses lead to larger dead-time gaps and pulse profile-weighted images. Here, we formulate an inverse problem to directly reconstruct profile-compensated images from multi-coil data without any intermediate step for dead-time infilling. We demonstrate that leveraging coil sensitivities and alternating phase-modulated excitations sufficiently condition the inverse problem, allowing for iterative reconstructions of T1-weighted acquisitions. |
| 246 | Pitch: 9:27 Poster: 9:29 Plasma 22
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Integration of blip reversal with CAIPI sampling enables simultaneous correction of slice aliasing and distortion in 3D multi-slab diffusion MRI |
| Ziyu Li1, Karla L. Miller1, and Wenchuan Wu1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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3D EPI can provide optimal SNR efficiency for high-resolution diffusion MRI but is prone to aliasing of edge slices and in-plane distortion artifacts. We propose a highly-efficient method for correcting slice-aliasing and distortion for 3D multi-slab imaging without increasing scan time. Blip reversal is integrated into CAIPI sampling within a single scan. In addition, we extend the FOV along the slice direction to remove slice-aliasing artifacts. Field maps are estimated from the blip-reversed data and incorporated in the final joint reconstruction. The efficacy of the method is quantitatively and systematically validated using highly realistic simulations. |
| 247
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Pitch: 9:29 Poster: 9:31 Plasma 23
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Learning compact latent representations of signal evolution for improved shuffling reconstruction |
| Yamin Arefeen1, Junshen Xu1, Molin Zhang1, Jacob White1, Berkin Bilgic2,3, and Elfar Adalsteinsson1,4,5 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula 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, Cambridge, MA, United States, 5Institute for Medical Engineering and Science, Cambridge, MA, United States |
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Applying linear subspace constraints in the shuffling forward model enables reconstruction of signal dynamics through reduced degrees of freedom. Other techniques train auto-encoders to learn latent representations of signal evolution to apply as regularization. This work inserts the decoder portion of an auto-encoder directly into the shuffling forward model to reduce degrees of freedom in comparison to linear techniques. We show that auto-encoders represent fast-spin-echo signal evolution with 1 latent variable, in comparison to 3-4 linear coefficients. Then, the reduced degrees of freedom enabled by the decoder improves reconstruction results in comparison to linear constraints in simulation and in-vivo experiments. |
| 248 | Pitch: 9:31 Poster: 9:33 Plasma 24
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Integrating time division multiplexing (TDM) and simultaneous multi-slice (SMS) for accelerating combined diffusion-relaxometry |
| Yang Ji1,2, William Scott Hoge3, Borjan Gagoski4, Carl-Fredrik Westin 3, Yogesh Rathi1,3, and Lipeng Ning1 | ||
1Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 2Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 4Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States |
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We introduce an MRI sequence that integrates the time-division multiplexing (TDM) technique and simultaneous multi-slice (SMS) method to achieve a high slice-acceleration (~6x) factor for acquiring relaxation-diffusion MRI. Two variants of the sequence, i.e., TDM3e-SMS and TDM2s-SMS, were developed to simultaneously acquire slice groups with 3 distinct echo times (TEs) and 2 slice groups with the same TE, respectively. Both sequences were evaluated on a 3T scanner with in-vivo human brains and compared with standard single-band (SB) EPI and SMS-EPI using diffusion measures and tractography results. Results have shown that TDM-SMS provides reliable measures for relaxation-diffusion and standard diffusion MRI. |
| 249 | Pitch: 9:33 Poster: 9:35 Plasma 25
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A multi-echo low-rank and sparse algorithm that reduces the bias of global fluctuations on the estimation of neuronal signal |
| Eneko Uruñuela1, Stefano Moia1, and César Caballero-Gaudes1 | ||
1Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain |
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This work introduces a novel multi-echo fMRI deconvolution approach that reduces the effect of global fluctuations (e.g., motion effects, physiological confounds, artefacts) on blindly mapping the brain’s response to single-trial BOLD events without prior timing information. The new sparse-plus-low-rank multi-echo multivariate paradigm free mapping (SPLORA) algorithm is compared with a trial-based known-timing GLM analysis and its predecessor multivariate multiecho paradigm free mapping (MvME-PFM) approach. This method allows exploring the brain’s functional dynamics during task, naturalistic and resting-state paradigms, being less affected by motion and physiological confounds, thus avoiding global signal regression to estimate neuronal related activity with multi-echo fMRI. |
| 250 | 9:15
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What Does FEXI Measure? |
| Mohammad Khateri1, Marco Reisert 2, Alejandra Sierra1, Jussi Tohka1, and Valerij G. Kiselev2 | ||
1A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 2Department of Radiology, University Medical Center Freiburg, Freiburg, Germany |
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Filter-EXchange Imaging (FEXI) evaluates the permeability of cell membranes, which is already used in clinical research. It relies on suppressing the extracellular signal using strong diffusion weighting (mobility filter causing a reduction in the overall diffusivity) and monitoring the subsequent diffusivity recovery. Using simulations, we demonstrate the presence of a spurious exchange: In compartments with complex geometry, there are locations where spins remain unaffected by the mobility filter. Moving to other locations afterward contributes to the diffusivity recovery, thus mimicking exchange. The discovered phenomenon opens large room for investigation towards characterizing the compartment geometry and crystallizing the genuine membrane permeation. |
| 251 | 9:27
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Mapping water exchange in the human brain using diffusion MRI with free waveform encoding |
| Arthur Chakwizira1, Filip Szczepankiewicz2, Carl-Fredrik Westin3, Geraline Vis4, Linda Knutsson1,5,6, Pia Sundgren7,8,9,10, and Markus Nilsson2 | ||
1Medical Radiation Physics, Lund, Lund University, Lund, Sweden, 2Clinical Sciences Lund, Lund University, Lund, Sweden, 3Department of Radiology, Brigham and Women's hospital, Harvard Medical School, Boston, MA, United States, 4Department of Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden, 5Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 7Department of Diagnostic Radiology, Lund University, Lund, Sweden, 8Lund University Bioimaging Center, Lund University, Lund, Sweden, 9Department for Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden, 10Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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Temporal velocity correlations of diffusing particles carry information about the structure of the diffusion environment. Studying high-order velocity autocorrelation functions can aid in understanding how signal is influenced by restricted diffusion and exchange, and in turn how to design experiments that are sensitive/independent to these phenomena. In this work, we employ numerical simulations on a variety of substrates to demonstrate this notion. We find that the fourth order velocity autocorrelation bears a distinctive signature of exchanging systems. In addition, we highlight that the effect of exchange on the second order velocity autocorrelation is negligible when exchange is barrier-limited. |
| 252 | 9:39
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Isolating restriction and exchange in gray matter using double and single diffusion encodings with equal diffusion weighting |
| Teddy Xuke Cai1,2, Nathan Hu Williamson2,3, Rea Ravin2,4, and Peter Joel Basser2 | ||
1Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford, UK, United Kingdom, 2Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, United States, 3National Institute of General Medical Sciences, Bethesda, MD, United States, 4Celoptics, Inc., Rockville, MD, United States |
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The diffusion MR signal in complex tissue such as gray matter exhibits non-Gaussian signal attenuation due to exchange and restrictions. Existing signal models typically ignore one or both effects by assuming Gaussian diffusion or negligible exchange. We propose a more rigorous signal model that incorporates both effects. Subsequently, an acquisition scheme utilizing equal double diffusion encodings ($$$b_1=b_2$$$) at various mixing times, and single diffusion encodings with the same total weighting $$$b=b_1+b_2$$$, is designed to independently characterize the effects of restriction and exchange. The method is tested on live and fixed gray matter specimen using a low-field, high-gradient MR system. |
| 253 | 9:51
|
Ex vivo gray matter is complex: exchange & disorder exponents |
| Ileana O Jelescu1,2 and Quentin Uhl1 | ||
1Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland |
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Fixation alters tissue properties significantly and in vivo vs ex vivo models should be adapted accordingly. Unlike in vivo studies of rodent gray matter (GM) where diffusion time-dependence D(t) was absent for t > 10 ms, allowing an interpretation of time-dependent kurtosis K(t) as resulting from inter-compartment exchange, here we show that ex vivo rodent GM displays marked D(t), with non-Gaussianity arising most probably from extracellular water. K(t) could thus result from combined effect of disorder and exchange. High-b data where extracellular water is preferentially suppressed may still enable the unconfounded estimation of exchange. |
| 254 | 10:03
|
Revealing diffusion time-dependence and exchange effect in the in vivo human brain gray matter by using high gradient diffusion MRI |
| Hong Hsi Lee1,2, Jonas L Olesen3,4, Qiyuan Tian1,2, Gabriel Ramos Llorden1,2, Sune N Jespersen3,4, and Susie Y Huang1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 4Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark |
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The characteristic signal time-dependence in the brain gray matter indicates a significant exchange effect, modeled by an extension of the Kärger exchange model. Here we perform in vivo diffusion measurements with varying time scales (21-40 ms) up to high b-values (≤22 ms/µm2) in a healthy subject on an HCP scanner, and observe the signal time-dependence in frontal lobe, temporal lobe, and limbic system. The estimated residence time is 2-7 ms in the brain gray matter, suggesting that diffusion in neurite and extra-cellular space is coarse-grained at clinical diffusion time scale. |
| 255 | 10:15
|
Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence |
| Eloïse MOUGEL1, Julien Valette1, and Marco Palombo2,3,4 | ||
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, 2Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, United Kingdom, 3Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 4School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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This work reports first-time measurements of the time-dependent diffusivity and kurtosis of both water and metabolites in vivo in the mouse gray matter (GM). Our aim is to exploit the complementary information provided by the diffusion of water and intracellular metabolites to investigate and potentially disentangle the role of exchange, structural disorder and restriction in GM. Our results show evidence that water diffusion-time dependence in GM is mostly driven by 1D short-range disorder, potentially alongside exchange. Conversely, metabolites’ diffusion-time dependence is exclusively driven by cellular restrictions, paving a new way to quantify noninvasively microstructural restrictions in GM. |
| 256 | 10:27
|
Correlation of Soma and Neurite Density Imaging (SANDI) metrics with Allen Mouse Brain Atlas |
| Andrada Ianus1, Joana Carvalho1, Francisca F. Fernandes1, Renata Cruz1, Cristina Chavarrias1, Marco Palombo2,3,4, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2Centre for Medical Image Computing (CMIC), Dept of Computer Science, University College London, London, United Kingdom, 3Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 4School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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Cross modal validation of micro-architectural features derived from diffusion MRI with contrast from other imaging modalities is critical for developing reliable imaging biomarkers. Here, we map apparent soma and neurite densities via the SANDI methodology in the in-vivo mouse brain at 9.4T and compared the derived metrics with the contrast from the Allen Mouse Brain Atlas which reflects cell body density in the brain. Our findings suggest that soma signal fraction correlates well with atlas intensities in different parts of the brain. |
| 257 | 10:39
|
Diffusion-MRI based Estimation of Cortical Architecture using Machine-learning (DECAM) |
| Tianjia Zhu1,2, Minhui Ouyang1, and Hao Huang1,3 | ||
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, University of Pennsylvania, Philadelphia, PA, United States |
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Advanced diffusion MRI (dMRI) has enabled noninvasive microstructural assessment that can be only conventionally measured with histology1-9. However, analytical dMRI models are limited by their restrictive model assumptions, lack of validation, and biased microstructural measures. We have developed Diffusion-MRI based Estimation of Cortical Architecture using Machine-learning (DECAM), a data-driven dMRI-based method accurately estimating cortical soma and neurite densities (SD and ND) in the cortex10 leveraging a variety of complementary dMRI contrasts. By providing high-fidelity estimated soma and neurite density maps validated with histology, DECAM paves the way for data-driven noninvasive virtual histology for potential applications such as Alzheimer’s diseases. |
9:15
|
Renal MRI: All a Nephrologist Could Want, or More Than They Need? | |
| LaTonya Hickson | ||
| Mayo Clinic, United States | ||
9:35
|
Glomerular Filtration, Tubular Function & Oxygenation: A Primer for the MR-Scientist | |
| Erdmann Seeliger | ||
| Charite, Germany | ||
9:55
|
Renal Functional MRI: What Are We Measuring, What Is its Added Clinical Value, & What’s Next - Intrarenal Oxygenation | |
| Eric Bechler | ||
| Heinrich-Heine-Universitat, Germany | ||
10:15
|
Renal Functional MRI: What Are We Measuring, What Is its Added Clinical Value, & What’s Next - Blood Flow & Perfusion | |
| Eleanor Cox | ||
| Sir Peter Mansfield Imaging Centre, United Kingdom | ||
10:35
|
Renal Functional MRI: What Are We Measuring, What Is its Added Clinical Value, & What’s Next - Renal Microstructure/Microcirculation | |
| Julia Stabinska | ||
| F.M. Kirby Research Center for Functional Brain Imaging Kennedy Krieger Institute, United States | ||
10:55
|
Renal Tissue Characterization: Traditional Invasive Biopsy vs. Virtual MR Biopsy | |
| Octavia Bane | ||
| Mount Sinai School of Medicine, United States | ||
| 11:30 | NIBIB New Horizons Lecture: Artificial Intelligence for MRI: Opportunities & Challenges |
| 11:50 | Making Best Use of Available Animal Resources in Imaging Research |
| Malcolm Macleod1 | |
1Scotland |
| 12:10 | Rare Disease Management in the Clinic |
| Kris Ann Schultz1 | |
1Children's Minnesota, Minneapolis, MN, United States |
| 12:30 | What Can We Do with an N=1? Individual Prediction Models |
| Graeme Jackson1 | |
1Florey Institute of Neuroscience & Mental Health, Parkville, Australia |
14:30
|
Velocity-Selective Arterial Spin Labeling: Basics You Would Like to Know | |
| Jia Guo | ||
| University of California Riverside, United States | ||
14:45
|
Velocity Selective Inversion Based ASL | |
| Qin Qin | ||
| Johns Hopkins University | ||
15:00
|
Acceleration Selective ASL: Labeling the Arterial Blood with a Single Labeling Module | |
| Sophie Schmid | ||
| Leiden University Medical Center | ||
15:15
|
Clinical VSASL: Tales from Circumventing the Transit Delay | |
| Divya Bolar | ||
| University of California San Diego, United States | ||
15:30
|
Body Applications of VSASL | |
| Dan Zhu | ||
| Kennedy Krieger Institute | ||
15:45
|
Velocity-Selective MR Angiography | |
| Taehoon Shin | ||
| Ewha womans' university | ||
16:00
|
Hands-on: Bloch Equation Simulation of VS Labeling | |
| Joseph Woods | ||
| University of California San Diego, United States | ||
16:15
|
Hands-on: Bloch Equation Simulation of VS Labeling | |
| Dapeng Liu | ||
| Johns Hopkins University | ||
14:30
|
A Historical Perspective on ISMRM Challenges | |
| Jim Pipe | ||
14:30
|
My Experience Running the fastMRI Challenges with Facebook AI Research | |
| Florian Knoll | ||
14:30
|
My Experience Running the Reproducibility Challenge | |
| Nikola Stikov | ||
14:30
|
My Experience Running theFiber Tractography Challenge | |
| Peter Neher | ||
14:30
|
Call for New Challenges (Toronto 2023) | |
| Nivedita Agarwal | ||
14:30
|
Repeat It with Me: Reproducibility Team Challenge | |
| Laura Bortolotti | ||
14:50
|
MRI-Guided Focused Ultrasound as a Tool for Treating Cancer | |
| Viola Rieke1 | ||
1University of Utah, United States |
15:10
|
MR-Optical Imaging for Probing Brain Structure & Beyond | |
| Jennifer A McNab1 | ||
1Stanford University, United States |
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Comparing MRI results in postmortem tissues with optical imaging of fluorescently labeled histological features in the same 3D intact tissue is a way to improve the interpretation of MRI data. This talk will describe various approaches to performing these types of comparisons including postmortem MRI and tissue clearing methods, as well as, feature extraction and co-registration considerations. |
15:30
|
MRI-MEG: Leveraging Complementary Information for Studying Brain Connectivity | |
| Timothy Roberts1 | ||
1Children's Hospital of Philadelphia, United States |
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This work discusses integration of DTI and related measures of white matter microstructure with temporal measures of evoked response latency from MEG to attempt to identify (1) neural correlates of development and their biological basis, (2) departures from typical development in autism spectrum disorder and related genetic syndromes and (3) a biological basis for stratifying sub-populations of these heterogeneous disorders. |
15:50
|
Modeling Neurological Disorders with Brain Connectivity & PET Imaging | |
| Ashish Raj1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
14:30
|
Cardiac Relaxometry: Methods, Accuracy & Precision | |
| Claudia Prieto1 | ||
1King's College London, London, United Kingdom |
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Myocardial tissue characterisation using T1, T2, and T2* mapping has emerged as a novel extremely useful clinical adjunct enabling detection of focal and diffuse fibrosis with T1 mapping, myocardial oedema with T2 mapping, extracellular volume with pre and post T1 mapping, iron overload with T2* mapping and fat fraction with a 3-point Dixon acquisition. This talk will introduce the basics of quantitative cardiac magnetic resonance imaging, focusing mainly on myocardial T1, T2 and T2* mapping. |
15:00
|
Cardiac Relaxometry: Biological & Clinical Value | |
| Margaret M. Samyn1 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States |
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Cardiac magnetic resonance (CMR) relaxometry (including T2*, T1 and T2 mapping, as well as extracellular volume (ECV) assessment) has emerged as an accurate, reproducible, highly sensitive, and quantitative technique for characterizing diffuse myocardial processes underlying cardiac diseases. This presentation will build upon the physics of relaxometry - showing not only the biologic value of these novel CMR techniques, but their practical clinical utility in the care of patients with myocardial pathology. From hypertrophic cardiomyopathy and Duchenne muscular dystrophy to iron overload cardiomyopathy, cardiac transplant rejection and more, relaxometry is changing the way clinicians think about patient care. |
15:30
|
Cardiac Diffusion | |
| Sonia Nielles-Vallespin1 | ||
1Royal Brompton Hospital, Imperial College London, London, United Kingdom |
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The 3D microarchitecture of the myocardium underlies the mechanical and electrical properties of the heart. Cardiac Diffusion provides a non-invasive means to understand not only the dynamic changes in healthy myocardial microstructure during cardiac contraction but also the pathophysiological changes in the presence of disease. This technology offers tremendous potential to enable improved clinical diagnosis through novel microstructural and functional assessment. This talk will introduce the 3D myocardial microstructure, review in vivo cardiac diffusion methods, and clinical applications to date. |
16:00
|
Physical Properties: Strain Imaging | |
| Daniel Ennis1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States |
| 258 | Pitch: 14:30 Poster: 14:32 Plasma 1
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Evaluation of Single-shot EPI with Sub-millimeter Resolution fMRI on the Next-Generation 7T brain scanner. |
| Alexander JS Beckett1,2, An T Vu3,4, Sinyeob Ahn5, Salvatore Torrisi1,2, Jonathan R Polimeni6,7, Essa Yacoub8, Kawin Setsampop9,10, Berkin Bilgic6,7, Shajan Gunamony11,12, Andreas Potthast13, Peter Dietz13, Yulin Chang5, and David A Feinberg1,2 | ||
1University of California, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3Radiology, University of California, San Francisco, CA, United States, 4San Francisco Veteran Affairs Health Care System, San Francisco, CA, United States, 5Siemens Medical Solutions, Malvern, PA, United States, 6Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 7Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 8Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 9Department of Radiology, Stanford University, Stanford, CA, United States, 10Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 11Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, 12MR CoilTech Limited, Glasgow, United Kingdom, 13Siemens Healthcare GmbH, Erlangen, Germany |
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The newly developed “Impulse” head gradient (200 mT/m Gmax, 900 T/m/s) on the NexGen 7T scanner has been specifically designed to allow for high-resolution single-shot EPI with minimal distortions and blurring by minimizing echo spacing. In conjunction with the increased SNR and reduced g-factor noise afforded by the 96 channel receive array coil, mesoscale fMRI at 0.45mm and 0.6mm isotropic resolutions can be robustly achieved in human subjects. |
| 259 | Pitch: 14:32 Poster: 14:34 Plasma 2
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Spin-echo line-scanning at 7T |
| Luisa Raimondo1, Tomas Knapen1,2, Serge O Dumoulin1,2, Wietske van der Zwaag1, and Jeroen C.W Siero1,3 | ||
1Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 2VU University, Amsterdam, Netherlands, 3Radiology, University Medical Centre, Utrecht, Netherlands |
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We implemented spin-echo line-scanning (SELINE) fMRI through a simple rotation of the spin-echo refocusing gradient to a plane perpendicular to the excited slice and removing the phase encode gradient. This technique promises a combination of high spatio-temporal resolution and specificity of functional responses to the microvasculature. We compared SELINE data to the corresponding gradient-echo version (GELINE). We demonstrate that SELINE showed much improved line selection compared to GELINE, albeit at the cost of a significant drop in functional sensitivity. The low functional sensitivity needs to be addressed before SELINE can be applied. |
| 260 | Pitch: 14:34 Poster: 14:36 Plasma 3
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High temporo-spatial resolution VASO reveals differential laminar reactivity to event-related stimuli at 7T |
| Sebastian Dresbach1, Renzo Huber1, and Rainer Goebel1 | ||
1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, NL, Maastricht, Netherlands |
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Due to its high specificity, VASO plays a major role in laminar fMRI. To mitigate its lower sensitivity compared to GE-BOLD researchers mostly employ block-designs to increase SNR. Here, we developed a VASO sequence with a short TR (895ms volume acquisition) and showed that it provides the means to capture layer-specific haemodynamic responses with high spatio-temporal resolution. During event-related stimulation, we show reliable responses in visual and somatosensory cortices. Furthermore, the short TR and high specificity of VASO enabled us to show differences in laminar reactivity and onset times, thus demonstrating the high value of event-related designs using CBV-based fMRI. |
| 261 | Pitch: 14:36 Poster: 14:38 Plasma 4
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Towards whole brain layer-fMRI connectivity: methodological advancements for functional layer connectomics |
| Kenshu Koiso1,2, Sebastian Dresbash1, Christopher J Wiggins3, Omer Faruk Gulban1,4, Yoichi Miyawaki2,5, Benedikt A Poser1, and Renzo Huber1 | ||
1The Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan, 3Scannexus, Maastricht, Netherlands, 4Brain Innovation, Maastricht, Netherlands, 5Center for Neuroscience and Biomedical Engineering, The University of Electro-Communications, Tokyo, Japan |
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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 improvements in coverage and mitigations of venous biases, previous attempts of whole-brain connectome datasets turned out to be too artifact-dominated (Mueller 2021) to be neuroscientifically applicable. Here we present a new and improved sequence used for acquiring a relatively large open dataset of whole-brain laminar connectivity. Its purpose is to:
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| 262 | Pitch: 14:38 Poster: 14:40 Plasma 5
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Normative modelling detects abnormal functional connectivity in schizophrenia |
| Duarte Saraiva1 and Hugo Ferreira1 | ||
1Faculty of Sciences of the University of Lisbon, Lisboa, Portugal |
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Machine learning (ML) applications on the diagnosis of neuropsychiatric disorders (NPD) have not reached clinical practice yet, as the continuous spectrum of NPD demands more complex, non-binary classification approaches. Herein, a ML-based normative model was created from healthy subjects, which “fails” when tested on schizophrenia patients. In particular, abnormal functional connectivity patterns were found in such patients, in agreement to what has been described in the literature. Moreover, a clustering method and analysis at the individual level indicate that subgroups may exist within the schizophrenia spectrum, suggesting that a personalized and precision-based diagnosis is within reach for such NPD. |
| 263 | Pitch: 14:40 Poster: 14:42 Plasma 6
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The relation between brain anatomy, functional connectivity, and emotional behavior in 3- and 9-month old infants |
| Layla Banihashemi1, Vanessa Jean Schmithorst1, Michele A Bertocci1, Alyssa Samolyk1, Joao Santos1, Amelia Versace1, Megan Taylor1, Gabrielle English1, Jessie Northrup1, Vincent Lee1, Richelle Stiffler1, Harris Aslam1, Ashok Panigrahy1, Alison Hipwell1, and Mary Phillips1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States |
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Uncinate fasciculus, forceps minor, and cingulum bundle volumes measured in infants at 3 months of age via DWI tractography were found to predict infant emotionality at 3 months and 9 months of age. These relations were found to be mediated and/or suppressed by functional connectivity from the orbitofrontal cortex, dorsolateral prefrontal cortex, and posterior default mode. Therefore, modulating connectivity among regions in the default mode, central executive, and salience networks might be promising future approaches for interventions to maintain infant emotionality and reduce risk of future psychopathology later in childhood and adolescence. |
| 264 | Pitch: 14:42 Poster: 14:44 Plasma 7
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Investigating structural and functional connectivity of human entorhinal subregions using DTI and fMRI |
| Ingrid Framås Syversen1,2, Daniel Reznik3, Tobias Navarro Schröder1, and Christian F. Doeller1,3,4 | ||
1Kavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway, 3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Institute of Psychology, Leipzig University, Leipzig, Germany |
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Despite previous attempts to localize the human homologues of the medial (MEC) and lateral entorhinal cortex (LEC) using fMRI and DTI separately, there are still uncertainties related to the choice of imaging modality and seed regions used. In this study, we investigated both structural connectivity from DTI and functional connectivity from fMRI between the EC and associated brain regions. Differential EC connectivity to these regions was then used to predict the locations of the human homologues of MEC and LEC. Our results from both DTI and fMRI showed a qualitatively similar subdivision into posteromedial and anterolateral EC, supporting previous studies. |
| 265 | Pitch: 14:44 Poster: 14:46 Plasma 8
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Type 2 diabetes mellitus and obesity are associated with altered T2* and resting-state brain activity: a UK Biobank study |
| Guocheng Jiang1,2, Walter Swardfager2,3, Abdullah Al-Ozairi4, Ebaa Al-Ozairi 5, Sandra E Black 2,6, and Bradley J MacIntosh1,2 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada, 4Department of Psychiatry, Kuwait University, Kuwait City, Kuwait, 5Dasman Diabetes Institute, Kuwait City, Kuwait, 6Department of Medicine, University of Toronto, Toronto, ON, Canada |
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T2*-weighted image is a versatile and common MR imaging readout. We studied anatomical and functional brain features in three groups: Type 2 diabetes mellitus (T2DM), obese, and healthy adults. We observed that T2DM and obese adults are associated with lower regional T2* relative to healthy adults. We further found that an adverse lipid profile in obese adults was associated with decreased regional brain intrinsic activity. This work helps to characterize how T2DM and obesity affects brain using susceptibility-weighted and resting-state functional MRI approaches. |
| 266 | Pitch: 14:46 Poster: 14:48 Plasma 9
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Intercollicular interactions drive ipsilateral negative BOLD responses upon monaural auditory stimulation |
| Frederico Severo1, Mafalda Valente1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisboa, Portugal |
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Negative BOLD responses (NBRs) in rat Inferior Colliculus (IC) were recently observed upon monaural auditory stimulation, but their origins and importance remain poorly understood. Intercollicular communication is proposed as a prominent mechanism for auditory processing, including sound localization/lateralization & in gain control regulation. Here, we investigated intercollicular interaction via monoaural stimulation at 9.4T. Rats exhibited NBRs in the ipsilateral IC and positive BOLD responses (PBRs) in the contralteral IC. When the contralateral hemisphere was lesioned, the NBRs vanished in the ipsilateral IC. Our findings suggest that intercollicular interaction is essential for ipsilateral negative BOLD responses and for auditory processing. |
| 267 | Pitch: 14:48 Poster: 14:50 Plasma 10
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Multimodal brain MRI characterization of a mouse model of Down syndrome and evaluation of a pharmacological treatment. |
| Julien CAILLETTE1, Laëtitia Degiorgis1, Marion Sourty1, Marion Rame1, Helin Atas-Ozcan2, Laurent Meijer3, Yann Herault2, and Laura-Adela Harsan1,4 | ||
1ICube, University of Strasbourg-CNRS, Strasbourg, France, 2IGBMC, University of Strasbourg-CNRS-INSERM, Illkirch-Graffenstaden, France, 3Perha Pharmaceuticals, Perharidy Peninsula, Roscoff, France, 4Department of Biophysics and Nuclear Medicine, University Hospital of Strasbourg, Strasbourg, France |
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DYRK1A protein-kinase overexpression was identified as key player in cognitive impairments observed in Down syndrome (DS) patients and in animal models. Inhibition of this kinase rescued cognitive deficits in the Dp1Yey mouse model of DS, but the associated mechanisms remain unknown. Here we used multimodal brain MRI and characterized the morphology, microstructure and functional connectivity (FC) of Dp1Yey mice. Voxel-based morphometry revealed brain-wide morphological alterations in Dp1Yey mice, while DTI analysis revealed white matter changes. Further, rsfMRI showed that pharmacologic DYRK1A inhibition modifies the functional connectivity for memory related nodes, synergistic with cognitive improvements observed in behavioral tests. |
| 268 | Pitch: 14:50 Poster: 14:52 Plasma 11
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Alterations in intrinsic functional networks in squirrel monkey brain produced by dorsal column lesion of spinal cord using resting state fMRI |
| 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 goal was to study how intrinsic functional networks within squirrel monkey brain undergo changes in connectivity after a dorsal column lesion (DCL) of the spinal cord. We used independent component analysis (ICA) to decompose whole brain fMRI data into spatially independent functional networks. Thirteen networks were identified, many of which resemble networks from human and macaque brain studies. Inter-network connectivity was computed before and after DCL of the cervical spinal cord. Changes in inter-network connectivity were not restricted to sensorimotor areas but spread over other cortical areas. Also, one of the connectivity increased significantly, possibly indicating compensation post lesion |
| 269 | Pitch: 14:52 Poster: 14:54 Plasma 12
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Autonomic Function Regulates the Default-Mode Network in Rats |
| Jiayue Cao1, Xiaokai Wang1, 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 default mode network (DMN) is central to cognition. Consistent across species, functional connectivity (FC) of DMN exhibits partly similar patterns across brain states, including wakefulness, sleep, sedated or anesthetized states. Regions in DMN are also involved in regulating visceral organs. It is likely that DMN facilitates visceral physiology to maintain homeostasis in states of unconsciousness. However, the evidence for the association between autonomic function and DMN is sparse and piecemeal. Here, we use fMRI in rat models to investigate how vagal nerve de-innervation and stimulation affect the DMN and its interaction with other regions related to autonomic function. |
| 270 | 14:30
|
3D MRI atlases of congenital aortic arch anomalies and normal fetal heart: application to automated multi-label segmentation |
| Alena Uus1, Milou P.M. van Poppel1,2, Johannes K. Steinweg1, Irina Grigorescu1, Alexia Egloff Collado3, Paula Ramirez Gilliland1, Thomas A. Roberts1, Joseph V. Hajnal1,3, Mary Rutherford3, David F.A. Lloyd1,2, Kuberan Pushparajah1,2, and Maria Deprez1 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department of Congenital Heart Disease, Evelina London Children’s Hospital, London, United Kingdom, 3Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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This work introduces the first black blood 3D T2w MRI atlases of the normal fetal heart and congenital aortic arch anomalies. The atlases were generated from 87 subjects from normal, CoA, RAA and DAA cohorts and also include multi-label segmentations of the major cardiovascular structures. We further evaluated the feasibility of using deep learning for automated multi-label vessel segmentation in 3D T2w motion-corrected MRI images of the fetal heart. |
| 271 | 14:42
|
Improved Myocardial Scar Visualization with Two-minute Free-breathing Joint Bright- and Black-blood Late Gadolinium Enhancement Imaging |
| Aurelien Bustin1,2,3, Soumaya Sridi2, Aurelien Maillot1, Xavier Pineau2, Marta Nuñez-Garcia1, Maxime Sermesant1,4, Dounia El Hamrani1, Julie Magat1, Jérôme Naulin1, Stéphanie Clément-Guinaudeau2, Claire Bazin2, Gäel Dournes2, Michel Montaudon2, François Laurent2, Pierre Jaïs1,5, Matthias Stuber1,3,6, and Hubert Cochet1,2 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Bordeaux, France, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4INRIA, Université Côte d’Azur, Sophia Antipolis, France, 5Department of Cardiac Electrophysiology, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 6CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Black-blood late gadolinium enhancement (LGE) techniques are increasingly being used to uncover myocardial scar patterns that may be otherwise confused with blood signal on conventional bright-blood LGE, especially when involving the subendocardium. With signal-attenuated blood and dark muscle representation, these techniques may however be hampered by a lack of anatomical information, making spatial localization of myocardial injuries a challenging task. Here we aim to assess the clinical performance of a novel LGE technique that combines both bright- and black-blood imaging in a single time-efficient free-breathing exam to obtain LGE images with unprecedented scar contrast and localization. |
| 272 | 14:54
|
Validation of Automated Topological LGE Thresholding for Peri-Infarct Substrate Characterization |
| Calder David Sheagren1,2, Terenz Escartin1,2, Philippa Krahn1,2, Jaykumar Patel1,2, Fumin Guo2, and Graham Wright1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Schulich Heart Centre, Sunnybrook Research Institute, Toronto, ON, Canada |
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High-resolution late gadolinium enhancement imaging is a powerful tool for arrhythmia risk assessment post-myocardial infarction, but requires substantial operator time and expertise to analyze. To address this challenge, automated analysis is introduced to isolate and depict relevant image features corresponding to healthy myocardium, peri-infarct gray zone, and dense scar. Using two sets of manual epicardial and endocardial contours, weighted total variation denoising is used to correct for statistical noise, and persistent homology is used to stratify topological features of the image. K-means clustering was used to generate remote myocardium and dense scar signal intensities for automated FWHM thresholding. |
| 273
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15:06
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Adiabatic T1ρ mapping of the human myocardium at 3T. |
| Chiara Coletti1, Joao Tourais1, Telly Ploem1, Mehmet Akçakaya2, Christal van de Steeg-Henzen3, and Sebastian Weingärtner 1 | ||
1Department of Imaging Physics, TU Delft, Delft, Netherlands, 2Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 3Medical Imaging and Radiation, Holland Proton Therapy Center, Delft, Netherlands |
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T1ρ-mapping constitutes a promising contrast-free alternative to LGE MRI for assessment of myocardial viability. However its applicability is hindered by susceptibility to B0 and B1+ field imperfections. In this work we propose a single breath-hold ECG-triggered adiabatically-prepared single-shot bSSFP T1ρ-mapping sequence. Bloch simulations are employed to identify optimal parameters for adiabatic pulses. The use of adiabatic preparations yields better resilience to system inhomogeneities and improved myocardium/blood contrast compared with conventional spin-lock modules, both in phantom and in-vivo. Thus, adiabatically-prepared sequences at 3T form a promising candidate for non-contrast evaluation of ischemic and non-ischemic cardiomyopathies. |
| 274
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15:18
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3D Joint Reconstruction of Non-Contrast and Contrast-Enhanced CMR Multitasking |
| Xianglun Mao1, Hsu-Lei Lee1, Alan C Kwan1,2, Tianle Cao1,3, Fei Han4, Yibin Xie1, Debiao Li1,3, and Anthony Christodoulou1,3 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Department of Bioengineering, University of California in Los Angeles, Los Angeles, CA, United States, 4Siemens Medical Solutions USA, Los Angeles, CA, United States |
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Cardiovascular MR (CMR) is used to acquire function, morphology, and composition of the heart which aids in clinical diagnosis and management. While measures such as ejection fraction, ventricular dimensions, and presence/pattern of late gadolinium enhancement (LGE) have stood the test of time as diagnostic pillars, newer quantitative tissue property measurements such as T1, T2, and extracellular volume (ECV) can characterize diffuse fibrosis, inflammation, or infiltration. The purpose of this study was to integrate multiple quantitative measurements into a single 20-min free-breathing, non-ECG, motion-resolved whole ventricular 3D acquisition using CMR Multitasking, including cardiac function, pre-contrast T1/T2, ECV, and LGE images. |
| 275 | 15:30
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Synthetic Multi-Contrast Late Gadolinium Enhancement Using Post-Contrast Cardiac MR Fingerprinting |
| Imran Rashid1,2, Varun Rajagopalan1,2, Sadeer Al-Kindi1,2, Sanjay Rajagopalan1,2, Nicole Seiberlich3,4, and Jesse Ian Hamilton3,4 | ||
1Cardiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 2Medicine, Case Western Reserve University, Cleveland, OH, United States, 3Radiology, University of Michigan, Ann Arbor, MI, United States, 4Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States |
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A technique is introduced using post-contrast cardiac Magnetic Resonance Fingerprinting (MRF) T1 and T2 maps to calculate synthetic late gadolinium enhancement (LGE) images with multiple contrast weightings, including bright-blood magnitude inversion recovery images, dark-blood T2-prepared inversion recovery images, and a novel contrast weighting (optimized for each patient) designed to improve differentiation among viable myocardium, blood, and scar based on measured T1 and T2 values. Initial results are presented in fifteen patients with ischemic cardiomyopathy scanned at 1.5T using conventional LGE and MRF-derived multi-contrast LGE images. |
| 276
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15:42
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Interleaved 23Na/1H MRI of the human heart at 7 Tesla |
| Laurent Ruck1, Tobias Wilferth1, Lena V. Gast1, Tanja Platt2, Denise Lichthardt1, Christian R. Meixner1, Andreas K. Bitz3, Titus Lanz4, Simon Konstandin5, Christoph Kopp6, Michael Uder1, and Armin M. Nagel1,2 | ||
1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Faculty of Electrical Engineering and Information Technology, University of Applied Sciences, Aachen, Germany, 4Rapid Biomedical GmbH, Rimpar, Germany, 5Fraunhofer MEVIS, Bremen, Germany, 6Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany |
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A dual-nuclear interleaved 23Na/1H MRI sequence for cardiac MRI was implemented and evaluated in phantom and in vivo measurements using a 23Na body coil in combination with two 4 Tx/8 Rx 1H arrays. The 1H arrays were operated in 1Tx mode with fixed transmit magnitude/phase setting. Compared to single-nuclear sequences, the interleaved sequence led to almost identical SNR und image intensities in phantom measurements. Furthermore, the feasibility of interleaved 23Na/1H in vivo MRI measurements at 7 T was demonstrated. The interleaved approach enables reduced acquisition times and further eliminates the need for image co-registration. |
| 277
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15:54
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Multifrequency MR elastography for time-resolved shear wave speed quantification of the in-vivo human heart. |
| Matthias Anders1, Carsten Warmuth1, Heiko Tzschätzsch1, Helge Herthum1, Katja Degenhardt2, Sebastian Schmitter2, Jeanette Schulz-Menger1,3,4, Jürgen Braun1, and Ingolf Sack1 | ||
1Charité Universitätsmedizin Berlin, Berlin, Germany, 2Physikalisch-Technische Bundesanstalt(PTB), Braunschweig and Berlin, Berlin, Germany, 3Experimentaland Clinical Research Center (ECRC), DZHK partner site Berlin, Berlin, Germany, 4HELIOS Klinikum Berlin Buch, Berlin, Germany |
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Cardiac MR elastography (MRE) has the potential to noninvasively characterize the underlying pathophysiology in heart failure with preserved ejection fraction based on abnormal stiffness values. However, the need for synchronizing MRE with cardiac motion, breathing and harmonic vibrations continues to be a challenge. We have developed a single-shot, spin-echo cardiac MRE sequence, which continuously acquires wave images at multiple frequencies with retrospective gating of wave phases relative to the cardiac phase to cover the propagation of shear waves over the full cardiac cycle. Our preliminary data show the dispersion of myocardial stiffness over frequency in systole and diastole. |
| 278 | 14:30
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Increased Pulsatility Index of Perforating Arteries as Novel 7T Marker in Sporadic Cerebral Small Vessel Disease – Results of ZOOM@SVDs Study. |
| Stanley D.T. Pham1, Hilde van den Brink2, Tine Arts1, Jeroen C.W. Siero1, Jeroen Hendrikse1, Jaco J.M. Zwanenburg1, and Geert Jan Biessels2 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology and Neurosurgery, UMC Utrecht, Utrecht, Netherlands |
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We assessed blood-flow velocity measurements on 7T MRI as a potential disease marker for cerebral small vessel disease (SVD). Two-dimensional phase-contrast velocity measurements were performed in perforating arteries of the basal ganglia (BG) and white matter of the centrum semiovale (CSO) in patients with sporadic SVD and age- and sex-matched controls. Pulsatility index (PI) was significantly higher in the BG, in patients (0.45 [0.41–0.49] vs. 0.36 [0.30–0.41] in controls) (p=0.02). In the CSO, similar number of vessels, mean velocity, and PI were observed between patients and controls. BG pulsatility could be a potential marker for SVD. |
| 279 | 14:42
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Cerebral blood flow is associated with cerebral microstructural integrity in normative aging |
| Curtis Gregory Triebswetter (Co-Author)1, Matthew Kiely (Co-Author)1, Zhaoyuan Gong1, Maryam H. Alsameen1, and Mustapha Bouhrara1 | ||
1National Institute on Aging, Baltimore, MD, United States |
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Maintenance of cerebral tissue homeostasis is particularly sensitive to deficits in cerebral blood flow (CBF) and concomitant hypoxia and hypoglycemia. However, little work has been conducted to investigate the potential association between deficits in CBF and deterioration of brain microstructure, especially in normative aging. The results of our analysis, conducted on a large cohort of cognitively unimpaired adults, of the association between CBF and several MRI metrics of cerebral microstructural integrity, indicate that low CBF values correspond to low tissue integrity. These results provide further evidence of the intimate relationship between neurovascular physiology and brain integrity throughout normative aging. |
| 280 | 14:54
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Time-delay processing of cerebrovascular reactivity reveals pre-surgical indicators of revascularization response in adults with moyamoya |
| Spencer L Waddle1, Maria E Garza1, Larry Taylor Davis2, Rohan Chitale2,3, Matthew Fusco2,3, Chelsea A Lee4, Niral J Patel4, Lori C Jordan1,2,4, and Manus J Donahue1,5 | ||
1Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Pediatrics, Division of Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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The goal of this work is to apply time-regression analysis to hypercapnic reactivity data in an interventional trial to identify pre-surgical indicators of treatment response in moyamoya vasculopathy patients. We hypothesized that pre-surgical posterior flow-territory reactivity, including greater cerebrovascular reactivity and reduced vascular delay time, portend collateralization success. In 41 participants evaluated pre and 1-year post-operatively, pre-surgical posterior flow-territory maximum reactivity was higher (p=0.02) in patients with good vs. poor angiographic outcomes. This highlights that topographical features of preserved cerebral auto-regulation may contribute to neoangiogenic potential, and importantly, that reactivity mapping may provide a diagnostic tool for informing surgical candicacy. |
| 281 | 15:06
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Intracranial super-resolution 4D Flow MRI – using deep-learning to map flow and relative pressure in the brain |
| David Marlevi1,2, Edward Ferdian3, Jonas Schollenberger4, Maria Aristova5, Brandon Hardy4, Elazer R Edelman1, Susanne Schnell5,6, C. Alberto Figueroa4, David A Nordsletten4,7, and Alistair A Young3,7 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2Karolinska Institutet, Stockholm, Sweden, 3University of Auckland, Auckland, New Zealand, 4University of Michigan, Ann Arbor, MI, United States, 5Northwestern University, Chicago, IL, United States, 6University of Greifswald, Greifswald, Germany, 7King's College London, London, United Kingdom |
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Changes in regional hemodynamics are indicative of cerebrovascular disease. However, image-based monitoring is complicated by the unique flow and anatomies found in the brain, with accurate estimates requiring beyond state-of-the-art image resolutions. To address this, we combine a deep residual network, 4D Flow MRI, and physics-informed image processing to provide super-resolution flow images and coupled accurate quantification of intracranial relative pressure. The method is trained and validated on patient-specific in-silico data, highlighting how low resolution-biases are mitigated by super-resolution conversion. Data were also effectively generated at <0.5 mm in a representative in-vivo cohort, highlighting the potential of our presented approach. |
| 282 | 15:18
|
Medullary vein architecture modulates the white matter BOLD CVR response to CO2: observations from high-resolution T2* weighted imaging at 7T |
| Alex A Bhogal1 | ||
1UMC Utrecht, Utrecht, Netherlands |
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Brain stress testing using blood oxygenation level-dependent (BOLD) MRI to evaluate changes in cerebrovascular reactivity (CVR) is of growing interest for evaluating white matter integrity. However, even under healthy conditions, the white matter BOLD-CVR response differs notably from that observed in the gray matter. The confluence of arterial hemodynamics and BOLD signal characteristics weighted by venous architecture unrelated to smooth-muscle mediated dilation/contraction play a significant role in defining the WM BOLD-signal response to hypercapnia. This caveat should be taken into account when attributing disease mechanisms and/or progression to presumed impaired WM BOLD-CVR. |
| 283 | 14:30
|
Oxidation of ketone body in brain tumor patients |
| Kumar Pichumani1,2, Omkar B Ijare1, Suzanne Powell3, and David S Baskin1,2 | ||
1Kenneth R. Peak Brain and Pituitary Tumor Treatment Center, Department of Neurosurgery, Houston Methodist Research Institute, Houston, TX, United States, 2Weill Cornell Medical College, New York, NY, United States, 3Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston, TX, United States |
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Normal brain switches to utilization of ketone bodies only during prolonged starvation. It is not known whether brain tumors can utilize ketone body under in vivo conditions. There are ongoing clinical trials on using ketogenic diet as adjuvant therapy for the treatment of brain tumors. Here, we show that brain tumors (meningioma and GBM) can fully oxidize ketone body and therefore ketogenic diet may not be effective in the treatment of these tumor patients. MCT1 is involved in the transport of BHB into tumor cells and therefore it is feasible to target BHB metabolism using MCT1 inhibitor. |
| 284
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14:42
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Hyperpolarized [1-13C]-alanine monitors tumor immortality and detects response to therapy in patient-derived glioblastoma models in vivo |
| Georgios Batsios1, Meryssa Tran1, Anne Marie Gillespie1, Celine Taglang1, Sabrina Ronen1, Joseph Costello2, and Pavithra Viswanath1 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurological Surgery, University of California San Francisco, San Francisco, CA, United States |
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Telomerase reverse transcriptase (TERT) expression is essential for tumor proliferation. TERT also reprograms metabolism by elevating NADH and upregulating the alanine transporter ASCT2. Here, we exploit these TERT-associated metabolic alterations for non-invasive imaging in live GBM cells and orthotopic tumors using hyperpolarized [1-13C]-alanine. Combined treatment with the TERT inhibitor 6-thio-2’-deoxyguanosine and the ASCT2 inhibitor V-9302 inhibits GBM proliferation, identifying a novel therapeutic opportunity. Importantly, lactate production from hyperpolarized [1-13C]-alanine is an early biomarker of response to treatment in vivo, prior to the onset of anatomical alterations. Our findings pave the way for improved therapy and response assessment for GBM patients. |
| 285
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14:54
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MRS-Detectable Metabolic Biomarkers of TERT positive Glioblastoma |
| Noriaki Minami1, Donghyun Hong1, Nicholas Stevers2, Carter J Barger2, Georgios Batsios1, Anne Marie Gillespie1, Joseph F Costello2, Pavithra Viswanath1, and Sabrina M Ronen1 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Department of Neurological Surgery, UCSF, San Francisco, CA, United States |
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Telomerase reverse transcriptase (TERT) expression results from TERT promoter mutations and is a hallmark of cancer. GABPB1, its upstream transcriptional factor, was recently identified as a promising tumor-specific therapeutic target. However, imaging methods that can detect TERT expression and its inhibition with emerging GABPB1-based therapeutics are limited. Here, we demonstrate that the combination of 1H-MRS and hyperpolarized 13C-MRS of [1-13C]pyruvate allow detection of TERT modulation in TERT-expressing GBM cells and in vivo tumors. These findings could be translated to the clinic and thus improve the monitoring and personalized treatment of GBM. |
| 286 | 15:06
|
Fusion of T2/FLAIR Hyperintensities with Chemical Shift Imaging in Glioma Patients |
| Wufan Zhao1, Eduardo Coello1, Vicky Liao1, Assaf Tal2, and Alexander Lin1 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Chemical & Biological Physics, Weizmann Institute of Science, Rehovot, Israel |
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This work fuses manual segmentation of T2/FLAIR hyperintensity regions using 3D Slicer with multivoxel magnetic resonance spectroscopy (MRSI), which profiles neurochemical concentrations in a wide area of the brain. The utility of MRSI is demonstrated in the mapping of metabolites including 2HG, N-acetyl aspartate, myoinositol, glutamate plus glutamine, lactate, and choline in the region of interest. Voxel fractions of hyperintensity were correlated to metabolites, and metabolite-to-creatine ratio intercepts were used to compare hyperintense with healthy tissue. |
| 287 | 15:18
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Glucose versus fructose metabolism in the liver measured with deuterium metabolic imaging |
| Arjan D. Hendriks1, Andor Veltien2, Ingmar J. Voogt3, Arend Heerschap2, Tom W.J. Scheenen2, and Jeanine J. Prompers1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Medical Imaging (Radiology), Radboud University Medical Center, Nijmegen, Netherlands, 3WaveTronica B.V., Utrecht, Netherlands |
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The worldwide increase in sugar consumption is a major health concern. The contribution of fructose to the epidemic of metabolic disorders is controversial. This study investigated differences between glucose and fructose metabolism in the liver using dynamic deuterium metabolic imaging (DMI). Deuterium signal time curves after bolus injection and slow infusion were successfully acquired and showed different patterns. It was found that the peak concentration and conversion of deuterated glucose was different from that of fructose, indicating faster turnover of the latter. Overall, these methods could potentially lead to better understanding of healthy liver metabolism and aberrations in metabolic diseases. |
| 288 | 15:30
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Differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma by mDIXON Quant and intravoxel incoherent motion imaging |
| Tao Lin1, Jiazheng Wang2, Liangjie Lin2, Lihua Chen 1, Qingwei Song1, Renwang Pu1, Ying Zhao1, Xue Ren1, Qihao Xu1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Differentiation between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), the most common types of primary liver cancer, is important for the treatment planning and prognosis, but remains challenging via conventional radiological tools. Results by this study indicated that both mDIXON Quant and IVIM parameters showed significant different between HCC and ICC groups, and their combination can be of great potential value for clinical differential diagnosis between the two lesions. |
| 289 | 15:42
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Imaging hypoxia in murine oral cavity squamous cell carcinomas with oxygen-enhanced MRI |
| Upasana Roy1, Elise Y. Lepicard1, Jessica K.R. Boult1, Carol Box1, Kevin J. Harrington1, James P.B. O’Connor1, Yann Jamin1, and Simon P. Robinson1 | ||
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom |
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Oxygen-enhanced (OE)-MRI was used to map and quantify hypoxia (pOxyR) in two murine models of oral cavity squamous cell carcinoma, a tumour type in which hypoxia adversely affects patient prognosis. OE-MRI relies on quantifying changes in the longitudinal MRI relaxation rate R1 induced by excess paramagnetic oxygen molecules dissolved in blood plasma and interstitial fluid with inhalation of oxygen. When combined with susceptibility-contrast MRI for determination of fractional blood volume and diffusion-weighted MRI to assess cellularity, OE-MRI enables an assessment of the spatial distribution and extent of tumour hypoxia, patent vasculature and necrosis. |
| 290 | 15:54
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First in-human technique translation of OE-MRI for hypoxia imaging onto an MR Linac system in patients with head and neck cancer |
| Michael J Dubec1,2, Anubhav Datta1,3, Ross A Little1, Abigael Clough4, David L Buckley2,5, Christina Hague6, Damien McHugh1,2, Michael Berks1, Susan Cheung1, Amal Salah7, David Higgins8, Cynthia L Eccles1,4, Robert Bristow1,6, Josephine H Naish9,10, Julian C Matthews11, Peter Hoskin1,6,12, Marcel van Herk1, Geoff JM Parker10,13, Ananya Choudhury1,6, Andrew McPartlin6, and James PB O'Connor1,3,14 | ||
1Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 2Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom, 3Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 4Radiotherapy, The Christie NHS Foundation Trust, Manchester, United Kingdom, 5Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 6Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 7Proton Beam Therapy, The Christie NHS Foundation Trust, Manchester, United Kingdom, 8Philips, Manchester, United Kingdom, 9MCMR, University of Manchester NHS Foundation Trust, Manchester, United Kingdom, 10Bioxydyn Ltd, Manchester, United Kingdom, 11Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 12Radiotherapy, Mount Vernon, London, United Kingdom, 13Centre for Medical Image Computing, Unversity College London, London, United Kingdom, 14Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom |
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Tumour hypoxia is associated with poor treatment outcome, tumour progression and treatment resistance. Oxygen-enhanced (OE)-MRI has shown promise as a non-invasive method for mapping and quantifying hypoxia. We demonstrate, for the first time, the application of the OE-MRI technique in patients with head and neck carcinoma to monitor changes in hypoxia due to treatment, and translate the technique onto an MR Linac system, demonstrating feasibility in a first-in-human study. |
| 291 | 14:30
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Cortical layer-specific neurochemical profiles in the in-vivo mouse brain |
| Alireza Abaei1, Dinesh K Deelchand 2, Francesco Roselli 3, and Volker Rasche 1 | ||
1Core Facility Small Animal Imaging (CF-SANI), University of Ulm, Ulm, Germany, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany |
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The goal of this study was to demonstrate the feasibility to detect neurochemical differences in sub-cortical domains of the murine brain, namely upper (I-IIII) and deep (V-VI) layers. To achieve sub-microliter voxel prescription in these layers, an ultra-high field of 11.7T was used along with the single-voxel LASER sequence. Results show significantly higher taurine (13%) and phosphatidylethanolamine (36%) concentrations in the superficial cortex region compared to the deep layer, in good agreement with cellular composition of these two regions. |
| 292 | 14:42
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An Alternative to WEX: T1-Independent Exchange Rate Quantification using Phase Sensitive Water Exchange Spectroscopy |
| Nils Marc Joel Plaehn1, Simon Mayer1,2, Petra Albertová1, Peter Michael Jakob1, and Fabian Tobias Gutjahr1 | ||
1Experimental Physics 5, University of Würzburg, Würzburg, Germany, 2Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany |
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Water Exchange Spectroscopy (WEX) is one of the most widely used approaches to assess the exchange rate of labile protons from a solute to water. In this work, we propose as an versatile alternative “Phase Sensitive WEX” (PS-WEX), which uses an additional RF-pulse and a fixed mixing-time delay. By exploiting the phase sensitivity of the PS-WEX pathway the dynamic range can be increased and the T1-dependence of the signal is completely reduced. This is demonstrated in simulations and phantom measurements. The fixed mixing-time reduces the influence of the T1-decay on the signal curve leading to improved fit quality. |
| 293 | 14:54
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Clinical Applicability of SLOW-editing compared to MEGA-editing for the Evaluation of the IDH-mutation Status in Glioma Patients at 7T |
| Guodong Weng1,2, Johannes Slotboom1,2, and Piotr Radojewski1,2 | ||
1Institute for Diagnostic and Interventional Neuroradiology, Support Center for Advanced Neuroimaging (SCAN), University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel AG, Bern, Switzerland |
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Purpose: comparison of SLOW-editing and MEGA-editing for detection of 2HG in glioma-suspected patients at 7T. Methods: EPSI-based B0/B0+ robust SLOW-editing and semiLASER-SVS/CSI-based MEGA-editing were applied in 10 patients. The edited 2HG signal at 4.01 ppm aimed to be detected with TE = 68 – 75 ms. Results: 8 of 9 patients were identified successfully using SLOW-editing which has a higher spectral quality and success rate compared to MEGA-semiLASER. semiLASER-SVS/CSI-based MEGA-editing showed strong ghosting artifacts around 4.01ppm making 2HG-identification impossible. Conclusions: in vivo 2HG-editing can be performed using SLOW-EPSI within 10 minutes measurement time and is the preferrable method at UHF. |
| 294 | 15:06
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Fast high-resolution metabolite mapping on a preclinical 14.1T scanner using 1H-FID-MRSI |
| Dunja Simicic1,2,3, Brayan Alves1,2, Jessie Julie Mosso1,2,3, Thanh Phong Lê3,4, Ruud B. van Heeswijk5, Jana Starcukova6, Antoine Klauser1,7, Bernhard Strasser8, Wolfgang Bogner8, and Cristina Cudalbu1,2 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 3Laboratory of Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland, 4HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva School of Health Sciences, Geneva, Switzerland, 5Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6Institute of Scientific Instruments, Czech Academy of Sciences, Brno, Czech Republic, 7Department of radiology and medical informatics, University of Geneva, Geneva, Switzerland, 8Department of Radiology, Medical University Vienna, MR Center of Excellence, Vienna, Austria |
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1H-MRSI enables a simultaneous acquisition of MR-spectra from multiple spatial locations inside the brain. While 1H-MRSI is increasingly used in the human brain, its implementation in preclinical setting is limited because of the smaller size of rodent brain. At UHF for humans, 1H-FID-MRSI acquisitions are increasingly used (T2 and J-evolution minimization, increased SNR). We present the first implementation of fast 1H-FID-MRSI in the rat brain at 14.1T and exploit its potential for an increased brain coverage, reliable and accurate quantification results and metabolic maps. Our results set the grounds for a wider application of 1H-FID-MRSI in the preclinical setting. |
| 295 | 15:18
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Clinically feasible B1 field correction for multi-organ sodium imaging at 3T |
| Michael Vaeggemose1,2, Rolf F. Schulte3, and Christoffer Laustsen2 | ||
1GE Healtcare, Broendby, Denmark, 2MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark, 3GE Healtcare, Munich, Germany |
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Sodium (23Na) MRI allows non-invasive examinations of intra-organ sodium concentrations in vivo. B1 field corrections are important determinants of the sodium signal level. However, low signal-to-noise ratio (SNR) in sodium MRI makes accurate B1 mapping in reasonable scan times challenging. The aim of this study is to evaluate Bloch-Siegert off-resonance B1 field correction of sodium images in thigh muscle, heart, kidney, and brain with the use of MRI in healthy human subjects using a 3D FLORET readout trajectory. |
| 296 | 15:30
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31P multi-echo imaging with low B1+ dual-band refocusing pulses |
| Zahra Shams1, Wybe J.M. van der Kemp1, Evita C. Wiegers1, Jacobus J.M. Zwanenburg1, Jannie P. Wijnen1, and Dennis W.J. Klomp1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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We developed a multi-echo sequence to detect phosphomonoesters (PME) and phosphodiesters (PDE), aiming for high signal-to-noise and T2-contrast to noise ratio per unit of time, with the constraint of a maximum available B1 of ~15μT. In line with MRI, the candidates were multi-echo MRSI with 180° pulses (full refocusing) and fast spin echo (FSE) with modulated variable flip angles. Multi-echo MRSI resulted in higher SNR at the same SAR level compared to a FSE with modulated refocusing flip angles. Using 9 dual-band echo pulses improved the SNR for PDE and PME more than two-fold compared to the FID signal alone. |
| 297 | 15:42
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Super-fast and accurate estimation of relaxation and chemical exchange rate using 31P-MT-MR fingerprinting at 7T in the human brain |
| Mark Stephan Widmaier1,2, Song-I Lim1,2, and Lijing Xin1,3 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Laboratory for Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland, 3Animal Imaging and Technology, EPFL, Lausanne, Switzerland |
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In this abstract, we introduce 31P-MT-MRF, using a SAR efficient magnetization transfer (MT) approach. We extended the magnet resonance fingerprinting (MRF) framework to overcome obstacles of in vivo human brain 31P measurements. This abstract reports the reproducibility and robustness of 31P-MT-MRF estimations of the relaxation parameters of y-ATP and PCr as well as the chemical exchange rate kCK on healthy volunteers in vivo in human brain at 7T. We were able to demonstrate that our method is 3 times faster as state-of-the-art MT methods [6] and estimates are bias free enabling ultra-fast kCK measurement in 2:15 min scan time. |
| 298 | Pitch: 14:30 Poster: 14:32 Plasma 16
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Using data-driven Markov chains for MRI reconstruction with Joint Uncertainty Estimation |
| Guanxiong Luo1, Martin Heide1, and Martin Uecker1,2,3,4 | ||
1University Medical Center Göttingen, Göttingen, Germany, 2Institute of Medical Engineering, Graz, Austria, 3German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany, 4Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells'' (MBExC), University of Göttingen, Göttingen, Germany |
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This works explores the use of data-driven Markov chains that are constructed from generative models for Bayesian MRI reconstruction, where the generative models utilize prior knowledge learned from an existing image database. Given the measured k-space, samples are then drawn from the posterior using Markov chain Monte Carlo (MCMC) method. In addition to the maximum a posteriori (MAP) estimate for the image which is obtained with conventional methods, also a minimum mean square error (MMSE) estimate and uncertainty maps can be computed from these samples. |
| 299 | Pitch: 14:32 Poster: 14:34 Plasma 17
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The deep SECRET to accelerated first-pass perfusion cardiac MRI |
| Elena Martín-González1, Ebraham Alskaf2, Amedeo Chiribiri 2, Pablo Casaseca-de-la-Higuera1, Carlos Alberola-López1, Rita G. Nunes3,4, and Teresa Correia2,5 | ||
1Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain, 2School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 3Institute for Systems and Robotics, Lisbon, Portugal, 4Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 5Centre for Marine Sciences - CCMAR, Faro, Portugal |
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First-pass perfusion cardiac magnetic resonance (FPP-CMR) is becoming essential to detect blow flow anomalies. However, the need for real-time acquisitions limits the achievable spatial resolution and coverage of the heart. To keep both within a reasonable range, FPP-CMR needs to be accelerated. A SElf-Supervised aCcelerated REconsTruction (SECRET) DL framework is presented to speed-up reconstruction of FPP-CMR images from undersampled (k,t)-space data. The physical reconstruction models are used to train deep neural networks without requiring fully sampled images. SECRET achieves good quality reconstructions at a variety of acceleration rates, with significant speed-ups compared to the state-of-the-art. |
| 300 | Pitch: 14:34 Poster: 14:36 Plasma 18
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Through-plane diffusion MRI super-resolution with autoencoders: validation on outlier replacement scheme for pre-term baby brains |
| Hamza Kebiri1,2, Erick J. Canales-Rodríguez3, Priscille de Dumast1,2, Athena Taymourtash4, Hélène Lajous1,2, Yasser Alemán-Gómez2, Georg Langs4, and Meritxell Bach Cuadra1,2,3 | ||
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Signal Processing Laboratory 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria |
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Although super-resolution diffusion MRI for isotropic volumes has been explored, to date no unsupervised SR techniques have been investigated for anisotropic dMRI. We propose an autoencoder based framework to enhance the through-plane spatial resolution and to replace slice outliers by leveraging existing high-quality datasets. Quantitative evaluation on 31 pre-term subjects show that the proposed framework significantly outperforms conventionally used interpolation methods at the raw data and estimated diffusion tensor maps. This can hence contribute to the depiction of more accurate white matter properties of the developing brain. |
| 301 | Pitch: 14:36 Poster: 14:38 Plasma 19
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Motion2Recon: A Motion-Robust Semi-Supervised Framework for MR Reconstruction |
| Harris Beg1,2, Beliz Gunel2,3, Batu M Ozturkler2,3, Christopher M Sandino3, John M Pauly3, Shreyas Vasanawala4, Akshay S Chaudhari4,5, and Arjun D Desai3 | ||
1Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, United States, 2Equal Contribution, Stanford University, Stanford, CA, United States, 3Electrical Engineering, Stanford University, Stanford, CA, United States, 4Radiology, Stanford University, Stanford, CA, United States, 5Biomedical Data Science, Stanford University, Stanford, CA, United States |
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In this study, we propose Motion2Recon, a semi-supervised consistency-based approach for robust accelerated MR reconstruction of motion-corrupted images. Motion2Recon reduced dependence on fully-sampled (supervised) training data and improves reconstruction performance among motion-corrupted scans. It also maintained superior performance among non-motion, in-distribution scans, which may help eliminate the need for manual motion detection. All code and experimental configurations are openly available in Meddlr (https://github.com/ad12/meddlr). |
| 302 | Pitch: 14:38 Poster: 14:40 Plasma 20
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T2-deblurred deep learning super-resolution for turbo spin echo MRI |
| Zihao Chen1,2, Yibin Xie1, Debiao Li1,2, Yijen Wu3, and Anthony Christodoulou1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States |
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Deep learning MR super-resolution (SR) is a promising approach to reduce scan time without requiring custom sequences and iterative reconstruction. However, previous SR approaches are incompatible with turbo spin echo (TSE) sequence due to differences in T2 blurring effects between high-resolution and low-resolution TSE images. Here we propose a T2-deblurred deep learning SR model for 3x3 in-plane super-resolution of 3D TSE images. Our method accelerated scanning by 9x in both retrospective and prospective testing and provided better image quality than previous SR methods. |
| 303 | Pitch: 14:40 Poster: 14:42 Plasma 21
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Assessment of resolution and noise in MR images reconstructed by data driven approaches |
| Katja Lauer1,2, Jonas Kleineisel1, Alfio Borzì2, Thorsten Alexander Bley1, Herbert Köstler1, and Tobias Wech1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 2Institute of Mathematics, University of Würzburg, Würzburg, Germany |
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Data-driven reconstruction of undersampled raw data has gained more and more importance in recent years. Due to the non-linear and non-stationary transform characteristics of these imaging methods, objective image quality assessment is difficult. We propose a heuristic approach based on local point spread functions and multiple replica reconstructions, to enable the derivation of resolution- and g-factor-maps for individual images. The method is exemplarily applied in T1- and T2-weighted images of the brain, using a UNet and a Variational Network trained with data from the fastMRI project. |
| 304 | Pitch: 14:42 Poster: 14:44 Plasma 22
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Comparison of Self-Supervised Image Reconstruction Methods for Undersampled Image Reconstruction: Validation in a Realistic Setting |
| Thomas Yu1,2, Tom Hilbert1,3,4, Gian Franco Piredda1,3,4, Erick Canales-Rodrıguez1, Tobias Kober1,3,4, and Jean-Philippe Thiran1,4 | ||
1Signal Processing Lab 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Medical Image Analysis Laboratory, Center for Biomedical Imaging (CIBM), University of Lausanne, Lausanne, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland |
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Self-supervised reconstruction methods for undersampled acquisitions are becoming increasingly used. We compare different self-supervised reconstruction methods using fully sampled and prospectively/retrospectively accelerated data; we find that prospective and retrospective reconstructions can differ significantly in quantitative metrics and perceptual quality. To test the methods’ generalizability, prospectively accelerated data from multiple field strengths is reconstructed without retraining/retuning. We find that no-reference image quality metrics can distinguish state of the art methods from the baseline, albeit with ambiguity between the state of the art methods. |
| 305 | Pitch: 14:44 Poster: 14:46 Plasma 23
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Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks |
| Maarten Terpstra1,2, Matteo Maspero1,2, Joost JC Verhoeff1, and Cornelis A.T. van den Berg1,2 | ||
1Deparment 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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Four-dimensional (4D) respiratory-resolved imaging is crucial for managing respiratory motion in radiotherapy, enabling irradiation of highly mobile tumours. However, acquiring high-quality 4D-MRI requires long acquisition (typically ≥5 minutes) and long iterative reconstructions, limiting treatment efficiency. Recently, deep learning has been proposed to accelerate undersampled MRI reconstruction. However, it has not been established whether deep learning may reconstruct high-quality 4D-MRI from accelerated acquisitions. This work proposes a small deep learning model that exploits the spatio-temporal information present in 4D-MRI, allowing to split the reconstruction into two separated branches, enabling high-quality retrospectively-accelerated 4D-MRI acquired in ~60 seconds and reconstructed in 16 seconds. |
| 306 | Pitch: 14:46 Poster: 14:48 Plasma 24
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Mitigating synthetic T2-FLAIR artifacts in 2D MAGiC using keyhole and deep learning based image reconstruction |
| Sudhanya Chatterjee1, Naoyuki Takei2, Rohan Patil1, Sugmin Gho3, Suchandrima Banerjee4, Florian Wiesinger5, and Dattesh Dayanand Shanbhag1 | ||
1GE Healthcare, Bengaluru, India, 2GE Healthcare, Tokyo, Japan, 3GE Healthcare, Seoul, Korea, Republic of, 4GE Healthcare, Menlo Park, CA, United States, 5GE Healthcare, Munich, Germany |
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Magnetic resonance image compilation (MAGiC) is a single click scan that provides multiple contrast-weighted images in around 5 mins. This makes it an effective diagnostic option in clinical settings. However, synthetic T2-FLAIR is known to have partial volume artifacts which impacts its diagnostic performance. In this work, we propose a method to mitigate partial-volume artifacts in synthetic T2-FLAIR using a separately acquired fast T2-FLAIR contrast information combined with keyhole and deep learning-based image reconstruction. |
| 307 | 14:30
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Changes in occipital GABA, glutamate/glutamine concentrations and cerebral oxygen metabolism in response to visual stimulation |
| Kimberly L Chan1, Hanzhang Lu2, Zixuan Lin2, Anke Henning3,4, and Binu P Thomas1 | ||
1Advanced Imaging Research Center, The University of Texas Southwestern, Dallas, TX, United States, 2Johns Hopkins University, Baltimore, MD, United States, 3The University of Texas Southwestern, Dallas, TX, United States, 4Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
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The relationship between brain’s GABA and glutamate/glutamine (Glx) concentrations measured by 1H MRS, hemodynamic response, neural signaling, and behavior is poorly understood. Here, the relationship between MRS-detectable GABA and Glx signals and MR hemodynamic contrasts during visual stimulation were examined. It was observed that changes in GABA+ and Glx were positively correlated with the BOLD response and negatively correlated with their levels at rest. Additionally, task GABA+ concentrations were negatively correlated with cerebral metabolic rate of oxygen (CMRO2). Together, these results suggest shifts in the inhibitory/excitatory balance and metabolism to maintain homeostasis in the brain. |
| 308 | 14:42
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Robust diffusion-weighted spectroscopic imaging throughout the mouse brain |
| Eloïse MOUGEL1 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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Being more specific to cellular microstructure than water diffusion, diffusion-weighted spectroscopic imaging (DW-MRSI) is a powerful tool for measuring disorders in cortical gray matter. Nevertheless, measurement in the cortex is difficult due to its proximity to the skull. We propose a selective DW-MRSI sequence, which avoids lipid contamination and measures the signal of metabolites even in the cortex. We performed an in vivo acquisition with this sequence and were able to measure an apparent diffusion coefficient over an entire brain slab. |
| 309 | 14:54
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Dynamic fitting of functional MRS, diffusion weighted MRS, and edited MRS using a single interface |
| William T Clarke1, Clémence Ligneul1, Michiel Cottaar1, and Saad Jbabdi1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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Dynamic magnetic resonance spectroscopy acquires multiple spectra under changing experimental conditions. Examples include editing, functional MRS, and diffusion weighted MRS. In this work we introduce a new tool that allows direct fitting of a dynamic signal model to multiple spectra simultaneously. Incorporation of a dynamic model into multi-spectra fitting reduces the number of parameters to be estimated from noisy data, reducing overall uncertainty.
The tool is demonstrated on simulated and multi-subject in vivo datasets, highlighting the high flexibility of the tool, which is open source and available as part of the FSL-MRS toolbox. |
| 310 | 15:06
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Dynamic 13C MRS using 13C/1H Multichannel Coil as an Alternative to Imaging for Hyperpolarized Pyruvate Brain Studies |
| Junjie Ma1, Marco C. Pinho1,2, Crystal E. Harrison1, Jun Chen1, Galen D. Reed3, Albert P. Chen3, A. Dean Sherry1,4, Craig R. Malloy1,2,5, Christopher J. Madden6, and Jae Mo Park1,2,7 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 3GE Healthcare, Dallas, TX, United States, 4Biochemistry and Chemical Biology, UT Dallas, Richardson, TX, United States, 5Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, 6Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, United States, 7Electrical and Computer Engineering, UT Dallas, Richardson, TX, United States |
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This study demonstrates that time-resolved 13C MR spectroscopy with the multichannel 13C/1H RF coils can be performed as an alternative to imaging for assessing pyruvate metabolism using hyperpolarized [1-13C]pyruvate in the human brain. |
| 311 | 15:18
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Multi-Parametric Single-Shot Magnetic Resonance Spectroscopy for Fast Metabolite-Specific Concentration and T2 Determination |
| Rudy Rizzo1,2 and Roland Kreis1,2 | ||
1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland |
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Multi-Echo Single-Shot (MESS) spectroscopy is tested in-vivo aiming at simultaneous determination of metabolite content and T2 times through simultaneous multi-parametric model fitting of partially sampled echoes. Cramer-Rao Lower Bounds (CRLBs) are used as measure of performances. The novel scheme was compared with the traditional Multi-Echo Multi-Shot (MEMS) method. Results confirmed former in-silico studies and indicate that MESS outperforms MEMS for simultaneous determinations of T2s and concentrations, with improvements ranging from 5-20% for T2s and 10-50% for concentrations. |
| 312 | 15:42
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Assessing potential correlation between T2 relaxation and diffusion of brain lactate |
| Eloïse MOUGEL1, Sophie Malaquin1, and Julien Valette1 | ||
1Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay aux Roses, France |
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Little or no correlation exists between diffusion and T2 relaxation of intracellular brain metabolites, as measured by MRS. However, for lactate, which is both intracellular and extracellular, some correlation might exist, which would be crucial to interpret lactate diffusion. Using a frequency-selective diffusion-weighted (DW) MRS sequence that removes J-modulation on the lactate peak at 1.3 ppm, thus preserving lactate signal even at long TE, we investigated the effect of echo time TE on lactate diffusion-weighted attenuation, for TE between 50.9 and 110.9 ms. It appears that the effect of TE on the apparent diffusivity and kurtosis is negligible. |
| 313 | 14:30
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Field-Cycling imaging identifies ischaemic stroke at magnetic field strength below 200 mT |
| Vasiliki Mallikourti1, James Ross1, Oliver Maier2, Markus Bödenler3, Rudolf Stollberger 4, Lionel Broche1, and Mary-Joan MacLeod5 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Institute of eHealth, University of Applied Sciences FH JOANNEUM, Graz, Austria, 4BioTechMed-Graz, Graz, Austria, 5Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom |
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Field-Cycling imaging (FCI) is a new imaging technique able to image over a range of low magnetic field levels by rapid switching, to explore the variations in T1 relaxation time as a function of the magnetic field strength, known as T1 dispersion. Here we measured the T1 dispersion contrast from patients with ischaemic stroke. The infarct region in T1 maps corresponded to clinical images. T1 dispersions had different profiles between stroke areas and healthy brain areas, showing that ischaemic strokes can be imaged below 200 mT without contrast agents. |
| 314 | 14:42
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An Adaptive Target Field Framework for Complete Low Field MRI System Design |
| Bart de Vos1, Rob F. Remis2, and Andrew G. Webb1,2 | ||
1Leiden University Medical Center, C.J. Gorter Center for High Field MRI, Leiden, Netherlands,, Leiden, Netherlands, 2Delft University of Technology, Circuits and Systems, Delft, Netherlands, Delft, Netherlands |
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In this work a low field point-of-care system design framework is created using target field methods for all of the hardware components. A new target field method for Halbach-based magnet optimization with variable ring diameter and spacing is derived. Magnet, gradient and RF are combined into a single framework which includes a feedback loop for dealing with the component interdependencies. The result is a pipeline which with a few user inputs can create an optimal magnet, gradient and RF design in minutes. |
| 315 | 14:54
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2D Imaging without Gradient Coils in a Low-Field Spokes-and-Hub Permanent Magnet |
| Irene Kuang1, Jason Stockmann2,3, Elfar Adalsteinsson1,4, and Jacob White1 | ||
1Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States |
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We demonstrate feasibility of 2D imaging without gradient coils in a spokes-and-hub permanent magnet for a low-cost hand-held educational MR scanner. With the ease of physically assembling the imaging system in mind, the magnet was designed asymmetrically, to introduce a built-in z-gradient, and with an axis of rotation for the top magnet, so it can be tilted by either linear or rotational actuators, and generate negative or positive x-gradients. Results from simulation, Hall-effect sensor measurements, and spin echo data show that the permanent-z plus x-gradient can be used to generate orthogonal fields, and disambiguate signals from a two-tube phantom. |
| 316 | 15:06
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Advanced Gradient-Free Selective Excitation Using the Bloch-Siegert Shift |
| Jonathan B Martin1, Sai Abitha Srinivas1, Christopher Vaughn1, Heng Sun1, Mark Griswold2,3, and William Grissom1,4 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 4Electrical Engineering, Vanderbilt University, Nashville, TN, United States |
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A class of selective RF pulses which use the Bloch-Siegert shift to localize selective excitation without B0 gradients has recently been proposed. Here we report an improved design method for both the frequency-gradient inducing component pulse and the frequency-selective component pulse, which reduces ripple in the magnetization profile and produces flatter passbands across the excited B1+ range. The pulses’ production of multiphoton resonances across B1+ and their suitability for fast gradient-free CPMG imaging are investigated. They are deployed for the first time on a low-field scanner to produce slice-selective selection. |
| 317 | 15:18
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Real-Time Water Fat Imaging at 0.55T with Spiral Out-In-Out-In Sampling |
| Ye Tian1, Yongwan Lim1, and Krishna S. Nayak1 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
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Real-time MRI is a powerful tool to study organ function in a dynamic environment. Many of these regions of interest have both water and fat present, such as the heart and joints. Water/fat separation usually requires multi-echo sequences that utilize chemical shift to distinguish water and fat signals. At 0.55T, the chemical shifts are smaller, making it possible to use long readouts (e.g. spirals) to more efficiently acquire images. Here, we demonstrate spiral out-in-out-in bSSFP imaging combined with region-growing field map estimation for water/fat separation. We demonstrate high quality water/fat separated real-time movies of cardiac function and wrist motion. |
| 318 | 15:30
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Fat-Separated Radial 3D bSSFP Imaging at Low Field Using Frequency-Sweep RF Saturation and XD-GRASP Reconstruction |
| Ruoxun Zi1, Hersh Chandarana1, and Kai Tobias Block1 | ||
1Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States |
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Low-field systems have recently gained interest because of the potential to make MRI more accessible, but the field reduction comes at expense of low SNR and challenges with fat suppression. This work describes a new concept for fat separation at low field, based on radial acquisition during frequency-sweep RF saturation and combined with frequency-resolved XD-GRASP reconstruction. The approach is demonstrated for free-breathing abdominal imaging using a radial stack-of-stars 3D bSSFP sequence at 0.55T, showing that fat and water can be reliably distinguished based on the response to saturation at different frequencies. Fat-suppressed composite images can be calculated as final step. |
| 319
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15:42
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Maxwell Field Compensation for 2D Spiral-Ring Turbo Spin-Echo Imaging at 0.55T and 1.5T |
| Zhixing Wang1, Xue Feng1, Rajiv Ramasawmy2, Adrienne E. Campbell-Washburn2, John P. Mugler III3, and Craig H. Meyer1,3 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 3Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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Concomitant (Maxwell) fields are problematic for TSE imaging when the readout waveforms vary along the echo train, leading to severe signal dropouts and image blurring. These effects are exaggerated when using prolonged, high-gradient amplitude readouts at lower magnetic-field strengths. The purpose of this work was to implement 2D TSE imaging using annular spiral rings with compensation of self-squared concomitant-gradient terms at the echo time and across echo spacings via gradient waveform modifications, and with compensation of the residual Maxwell- and B0-field induced phase accruals along the readout via image reconstruction. This method reduced artifacts at both 0.55T and 1.5T. |
16:45
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Current Methods for 2D, 3D & 4D Flow in Body Organs | |
| Hideki Ota1 | ||
1Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan |
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Clinical application of flow imaging has been accepted, and various MR acquisition techniques are applied for imaging vessels of body organs. Depending on clinical purposes, blood flow should be visualized as static images for vascular morphology and/or measured for hemodynamic evaluation. In this talk, the following will be introduced: 1) basic knowledge of associations between flow and signals, 2) non-contrast-enhanced inflow-dependent MR angiography and contrast-enhanced MR angiography for qualitative flow visualization, and 3) principles of 2D PC and 4D flow MRI for flow visualization and measurement. Future directions of 4D flow MRI to overcome time-consuming process will also be discussed. |
17:15
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Current Methods for Perfusion & Permeability MRI in Body Organs | |
| Octavia Bane1 | ||
1Mount Sinai Hospital, United States |
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Dynamic contrast-enhanced (DCE-)MRI uses the unique physiology of liver perfusion (dual input from the hepatic artery and the portal vein) to characterize diffuse liver disease, and conditions arising from end-stage liver disease such as portal hypertension and hepatocellular carcinoma. By attending this lecture, course participants will be introduced to: 1) the conceptual difference between perfusion and vascular permeability, and why it is impossible to measure both at the same time; 2) acquisition protocol requirements for DCE-MRI; 3) the main pharmacokinetic models used with DCE-MRI in diffuse and focal liver disease; 4) examples of clinical applications of DCE-MRI in the liver. |
17:45
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Clinical Applications of 4D Flow MRI in the Portal Venous System | |
| Thekla Helene Oechtering1,2 | ||
1Department of Radiology, University of Wisconsin-Madison, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany |
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Assessment of hemodynamics in the portal venous system is essential for the diagnosis of many liver pathologies. 4D flow MRI offers a comprehensive approach for understanding pathophysiological mechanisms. It simultaneously and noninvasively acquires time-resolved flow and anatomic information in a 3D imaging volume. Although promising, it is particularly challenging in the portal venous system because of small vessel calibers, slow flow velocities, and respiratory motion. This presentation will describe how to perform and evaluate 4D flow MRI exams of the portal venous system. Moreover, it will discuss potential clinical applications and promising quantitative parameters that could help diagnose various pathologies.
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18:15
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Clinical Applications of cardiac & Lung MRI - a focus on pulmonary hypertension | |
| Andy Swift1 | ||
1University of Sheffield, Sheffield, United Kingdom |
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This talk covers a number of the clinical applications of blood flow and perfusion imaging in the lungs. There will be a focus on pulmonary hypertension and parenchymal lung diseases of emphysema and interstitial lung disease. The use of several MRI sequences will be discussed, non contrast approached phase contrast MRI, arterial spin labelling and PREFUL, in addition contrast enhanced approaches such and dynamic contrast enhanced angiography and magnetic resonance angiography. The feasibility of these approaches and their diagnostic and prognostic value will be discussed. |
16:45
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Hardware & Software Development for Preclinical Cardiac MRI | |
| Bram Coolen1 | ||
1Department of Biomedical Engineering & Physics, Amsterdam University Medical Centers, location AMC, Amsterdam, Netherlands |
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Small animal cardiac MRI has been applied in (bio)-medical research for more than two decades and has become the gold standard technique for various cardiac structural and functional parameters. The success of cardiac MRI in mice and rats is mainly due to the continuous developments for improving acquisition strategies and software analysis solutions. In this educational lecture, some of these technological advances will be highlighted, such as retrospective triggering techniques in combination with compressed sensing reconstruction, dedicated coils for further scan acceleration and sensitivity and image analysis tools to assess different cardiac functional parameters, including latest AI based approaches. |
17:15
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Myocardial Tissue Characterization in Preclinical Models | |
| Katrien Vandoorne1 | ||
1Technion – Israel Institute of Technology, Haifa, Israel |
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Cardiac MR techniques have been applied in small animal cardiovascular disease research, resulting in quantifying several hallmarks of cardiovascular disease. Hallmarks such as muscularization, angiogenesis and vessel stability, fibrotic balance, as well as immunological balance will be addressed as they eventually contribute to organ decline, reduced cardiac function and death. The technological challenges emerging from the small size of heart as well as high-pace cardiac and respiratory rates, particularly in mice, have been tackled. Cardiac tissue characterization could help us understand the sequence of events and cardiac tissue changes in cardiovascular disease progression. |
17:45
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Multinuclear MRS for Cardiac Metabolism | |
| Jeanine Prompers1 | ||
1University Medical Center Utrecht, Utrecht, Netherlands |
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Metabolic derangements have been identified in various cardiac pathologies and, vice versa, many metabolic disorders may lead to a cardiac phenotype. MRS provides a noninvasive window to investigate the metabolic pathogenesis of cardiomyopathies and to assess treatment response at an early stage of intervention. Facilitated by ongoing developments, multinuclear cardiac MRS has contributed significantly to preclinical and clinical research efforts to elucidate the role of disturbed myocardial metabolism in the etiology of cardiomyopathies. In this educational, we highlight the major applications and results, and discuss recent methodological advancements and remaining challenges towards applications of cardiac multinuclear MRS. |
18:15
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Preclinical Imaging of Myocardial Viability | |
| Daniel J. Stuckey1 | ||
1University College London, London, United Kingdom |
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Cardiac imaging has revolutionized our ability to diagnose heart disease, quantify mechanisms of pathology, and determine optimal therapy in patients. Current techniques can interrogate structure, contractility and metabolism but struggle to directly quantify one of the most important determinants of patient morbidity, myocardial viability. This presentation will provide an overview of current clinical and preclinical methods for evaluating cardiac function and viability in acute myocardial infarction, then discuss some emerging technologies that could improve our ability to monitor disease progression and response to experimental therapies. |
| 320
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16:45
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Effects of the cardiac and respiratory cycles on CSF-mobility in human subarachnoid and perivascular spaces |
| Lydiane Hirschler1, Bobby A Runderkamp2, Susanne J van Veluw1,3, Matthan WA Caan4, and Matthias JP van Osch1 | ||
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands, 3Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 4Biomedical Engineering & Physics, Amsterdam University Medical Center, Amsterdam, Netherlands |
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Although research into brain waste clearance has recently gained increasing attention, the driving force(s) as well as the physiological processes involved still remain strongly debated. Here, we assess the influence of the cardiac cycle and of respiration on the mobility of cerebrospinal fluid (CSF), thought to be an important waste carrier. We found that the cardiac cycle was inducing higher CSF-mobility changes than respiration. |
| 321 | 16:57
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Real-Time Phase Contrast MRI to quantify Cerebral arterial flow variations during normal breathing |
| Liu Pan1,2, Sidy Fall1, Serge Metanbou3, and Olivier Baledent1,2 | ||
1CHIMERE UR 7516, Jules Verne University, Amiens, France, 2Medical Image Processing Department, Jules Verne University Hospital, Amiens, France, 3Department of Radiology, Jules Verne University Hospital, Amiens, France |
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Real-time phase contrast MRI has been applied to investigate cerebral arterial blood flow (CABF) during normal breathing of healthy volunteers. We developed a novel time-domain analysis method to quantify the effect of normal breathing on several parameters of CABF. We found the existence of a delay between the recorded respiratory signal from the belt sensor and the breathing frequency component presents in the reconstructed arterial blood flows. During the expiratory, the mean flow rate of CABF increased by 4.4±1.7%, stroke volume of CABF increased by 9.8±3.1% and the duration of the cardiac period of CABF increased by 8.1±3%. |
| 322 | 17:09
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Assessment of Pulsatile Cerebrospinal Fluid Dynamics of the Human Brain using CArdiac-cycle Resolved Diffusion-weighted Imaging (CARDI) |
| Qiuting Wen1, Yunjie Tong2, Xiaopeng Zhou3, Chang Yueh Ho1, and Yu-Chien Wu1 | ||
1Indiana University, School of Medicine, Indianapolis, IN, United States, 2Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, United States, 3School of Health Sciences, Purdue University, West Lafayette, IN, United States |
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We introduce an MRI technique named CARDI, for in-vivo assessment of pulsatile fluid dynamics in the surface paravascular spaces of the pial arteries. A pair of pulsed gradient spin echo was used to detect the slow flow of CSF while suppressing the fast flow of adjacent arterial blood. Waveform of CSF over a cardiac cycle is revealed. The shape of the CSF waveforms closely resembles the pressure waveforms of the artery wall, suggesting that CSF dynamics is tightly related to artery wall mechanics. The comparison of CSF waveforms in an aging group revealed a significant age-dependency of the CSF waveforms. |
| 323 | 17:21
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High spatial resolution real-time imaging of respiratory effects on cerebrospinal fluid flow at 7T |
| Johannes Töger1, Mads Andersen2,3, Olle Haglund4, Tekla Kylkilahti5,6, Iben Lundgaard5,6, and Karin Markenroth Bloch3 | ||
1Department of Clinical Sciences, Diagnostic Radiology, Skane University Hospital Lund, Lund University, Lund, Sweden, 2Philips Healthcare, Copenhagen, Denmark, 3Lund University Bioimaging Center, Lund University, Lund, Sweden, 4Department of Medical Radiation Physics, Lund University, Lund, Sweden, 5Department of Experimental Medical Science, Lund University, Lund, Sweden, 6Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden |
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Methods to quantify CSF flow dynamics are important to study the physiology of intracranial pressure variations. Respiration influences the CSF flow, making real-time acquisitions necessary. This work investigates a high-resolution radial real-time flow sequence with golden angle acquisition and compressed sensing reconstruction at 7T for flow quantification of the CSF flow in the aqueduct. Phantom data shows that the proposed method accurately quantifies the slower aqueduct CSF flow oscillations caused by respiration, but underestimates faster cardiac oscillations. In vivo data shows good repeatability and an association between respiratory condition and net CSF flow. |
| 324 | 17:33
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Contrast Agent Transport in Mouse Glymphatic System Observed by Dynamic Contrast-Enhanced MRI |
| Yuran Zhu1, Yuning Gu1, Kihwan Kim1, Chaitanya Kolluru1, Huiyun Gao2, Yunmei Wang2,3, David L. Wilson1,4,5, Chris A. Flask1,4,6,7,8, and Xin Yu1,4,9 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Cardiovascular Research Institute, Case Western Reserve University, Cleveland, OH, United States, 3Department of Medicine, Case Western Reserve University, Cleveland, OH, United States, 4Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 5Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, United States, 6Department of Pediatrics, Case Western Reserve University, Cleveland, OH, United States, 7Imaging Research Core, Case Western Reserve University, Cleveland, OH, United States, 8Cancer Imaging Program, Case Western Reserve University, Cleveland, OH, United States, 9Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States |
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This study compared the transport of three MRI contrast agents with different molecular sizes (Gd-DTPA, GadoSpin, and H217O) in the mouse glymphatic system with dynamic contrast-enhanced MRI. Dynamic signal changes in the whole-brain and selected regions of interest (ROI) were analyzed. The results showed drastically different kinetics of the three tracers, indicating differences in glymphatic transport routes and rates. The current work lays the foundation for future studies employing genetically manipulated mouse models for mechanistic understanding of the regulation of glymphatic function in normal and diseased conditions. |
| 325 | 17:45
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Age dependent cerebrospinal fluid-tissue water exchange detected by non-invasive magnetization transfer indirect spin labeling MRI |
| Anna Li1, Chen Lin1,2, Hongshuai Liu3, Yuguo Li1,4, Wenzhen Duan3, and Jiadi Xu1,4 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 2Department of Electronic Science, Xiamen University, Xiamen, China, 3Division of Neurobiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Our understanding of the CSF exchange with surrounding tissues and its correlation with brain function is limited. We presented a non-invasive magnetization transfer indirect spin labeling (MISL) MRI method to quantify the water exchange between cerebrospinal fluid (CSF) and surrounding tissues in the brain by making use of the significantly different protein concentrations between CSF and other tissues. Water in the surrounding tissue is directly labeled by magnetization transfer from the abundant macromolecule pool. The reduction in the CSF signal corresponds to the water traveled to CSF, which is strongly age-dependent and weakly AQP4-dependent. |
| 326 | 17:57
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On the origin of a potential clearance marker: The contribution of enlarged perivascular fluid diffusion to a 7T IVIM interstitial fluid proxy |
| Merel M. van der Thiel1,2, Nathalie A. Roos1,3, Gerhard S. Drenthen1,2, Paulien H.M. Voorter1,2, Thorsten Feiweier4, Inez H.G.B. Ramakers2,5, Walter H. Backes1,2,6, and Jacobus F.A. Jansen1,2,7 | ||
1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 4Siemens Healthcare, Erlangen, Germany, 5Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands, 6School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands, 7Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Between the parenchymal and microvascular diffusion components, a third, intermediate component can be derived with cerebral IVIM. Its fraction (fint) seems a promising biomarker for altered cerebral clearance function. fint has been suggested to both be driven by fluid diffusivity within enlarged perivascular spaces (ePVS) and interstitial fluid between parenchymal cells. Using 7T MRI, this study determined a higher fint within the ePVS (through segmented masks) compared to surrounding non-ePVS tissue. Thereby, this study illustrates the contribution of ePVS fluid diffusivity to fint and highlights the ability to specifically assess ePVS fluid diffusion using a non-invasive MRI method. |
| 327 | 18:09
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Quantitative imaging of brain to cerebrospinal fluid molecular clearance |
| Anders Wåhlin1,2,3, Anders Garpebring3, Klara Mogensen3, Tomas Vikner3, Cecilia Björnfot3, Sara Qvarlander3, Jan Malm4, and Anders Eklund2,3 | ||
1Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden, 2Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden, 3Department of Radiation Sciences, Umeå University, Umeå, Sweden, 4Department of Clinical Science, Umeå University, Umeå, Sweden |
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The pathways of brain molecular clearance and potential glymphatic efflux to extracerebral cerebrospinal fluid is a matter of intense research. We investigated possible contrast enrichment in cerebrospinal fluid of the subarachnoid space following intravenous contrast injection. This approach utilizes a subtle but widespread contrast leakage across the blood-brain barrier that potentially enables the investigation of glymphatic function. Using T1-mapping as well as dynamic scanning during contrast infusion, we present data consistent with a model where molecules cleared from the brain enter subarachnoid space cerebrospinal fluid. This approach could be a clinically feasible alternative for investigating brain molecular clearance in humans. |
| 328
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Gadolinium-free Bright and Black-Blood 3D whole-heart MRI for efficient anatomical assessment in patients with Congenital Heart Disease |
| Anastasia Fotaki1, Kuberan Pushparajah1, Reza Hajhosseiny1, Alina Schneider1, Karl Kunze1,2, Radhouene Neji1,3, Harith Alam4, Alessandra Frigiola4, René Botnar1,5, and Claudia Prieto1,5 | ||
1Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, London, United Kingdom, 4Guy’s and St Thomas’s Hospital, London, United Kingdom, 5Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile |
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A recently developed sequence, the Magnetisation Transfer Contrast Bright Blood phase SensiTive (MTC-BOOST), enables free-breathing simultaneous acquisition of a bright-blood and black-blood 3D whole-heart dataset. We sought to compare the acquisition time, image quality and diagnostic performance of the proposed MTC-BOOST against the native clinical T2-prep bSSFP and the contrast-enhanced (CE) T2-prep bSSFP sequence in a cohort of patients with Congenital Heart Disease. Our study showed that MTC-BOOST offers good delineation of the intracardiac and vascular anatomy that is comparable to the clinical CE T2prep bSSFP and superior to the non-CE T2-prep bSSFP while offering a shorter acquisition time. |
| 329 | 16:57
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Non-contrast-enhanced free-breathing thoracic MRA using gated REACT at 3T in small children with congenital heart disease |
| Alexander Isaak1, Narine Mesropyan1, Christopher Hart2, Dmitrij Kravchenko1, Christoph Endler1, Leon M. Bischoff1, Shuo Zhang3, Christoph Katemann3, Oliver Weber3, Daniel Kuetting1, Ulrike Attenberger1, Darius Dabir1, and Julian A. Luetkens1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, 2Department of Diagnostic and Interventional Radiology & Department of Pediatric Cardiology, University Hospital Bonn, Bonn, Germany, 3Philips GmbH Market DACH, Hamburg, Germany |
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Application of high-resolution 3D MR angiography (MRA) in small children with congenital heart disease (CHD) is challenging and generally requires contrast agent administration. In a cohort of pediatric CHD patients (median age: 4 years), non-contrast-enhanced free-breathing gated 3D mDixon REACT-MRA provided comparable overall image quality to contrast-enhanced free-breathing 3D mDixon steady-state MRA for assessment of the thoracic vasculature. REACT-MRA allowed for accurate and reliable vessel size measurements. Although fat-water separation artifacts were observed, they could be extenuated by reconstruction of in- and out-of-phase images. Gated REACT-MRA allows for a contrast-free assessment of the thoracic vasculature in small children with CHD. |
| 330 | 17:09
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Feasibility of simultaneous non-contrast coronary MR angiography and vulnerable plaque imaging in acute myocardial infarction |
| Reza Hajhosseiny1,2, Adam Hartley2, Graham Cole2, Camila Munoz1, Amarjit Sethi2, Rasha Al-Lamee2, Deepa Gopalan2, Ben Ariff2, Raffi Kaprielian2, Karl Kunze3,4, Radhouene Neji3,4, Claudia Prieto1, Ramzi Khamis2, and René M Botnar1 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2National Heart and Lung Institute, Imperial College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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CMR plaque imaging has the potential to predict future coronary events, but is limited by low spatial-resolution, misregistration artefacts, respiratory motion related image quality degradation and unpredictable acquisition times. Here we clinically evaluate the feasibility of a novel 3D free-breathing, non-rigid motion corrected, non-contrast CMR sequence (iT2prep-BOOST) that enables simultaneous, high-resolution visualisation of the coronary arteries and high-risk plaque features on co-registered bright and black blood images in patients presenting with acute myocardial infarction. We found that iT2prep-BOOST can simultaneously visualise coronary artery stenosis as well as culprit and bystander coronary plaque, as validated against invasive coronary angiography and OCT. |
| 331 | 17:21
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A 3D Dense-U-Net for fully automated 5D flow MRI segmentation |
| Liliana E. Ma1,2, Haben Berhane1,2, Justin Baraboo1,2, Michael Sugimura3, Christopher W. Roy4, Mariana Falcão4, Jérôme Yerly4, Matthias Stuber4,5, and Michael Markl1,2 | ||
1Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States, 2Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States, 3Self-employed, Chicago, IL, United States, 4Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Center for Biomedical Imaging, Lausanne, Switzerland |
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Recently, a free-running 5D flow framework was introduced and validated. However, some 5D flow MRI is based on 3D radial imaging, which is limited by reduced SNR that can result in challenges with 3D segmentation. A number of previous studies have investigated automatic segmentation for 4D flow MRI, however these have been traditionally optimized for Cartesian datasets, which are typically acquired over much smaller spatial matrices and cover only one respiratory position. The purpose of this study was thus to adapt and expand a deep-learning framework to cardiac 5D flow MRI data for automatic segmentation of the thoracic aorta. |
| 332 | 17:33
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Automatic Segmentation of the Great Arteries for Robust Hemodynamic Assessment |
| Javier Montalt-Tordera1, Endrit Pajaziti1, Rod Jones2, Jennifer Steeden1, Silvia Schievano1, and Vivek Muthurangu1 | ||
1University College London, London, United Kingdom, 2Great Ormond Street Hospital, London, United Kingdom |
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Computational fluid dynamics (CFD) are useful in the assessment of blood flow conditions in patients with congenital heart disease. A necessary, time-consuming step in the creation of CFD models is the segmentation of the anatomy of interest. In this work, a neural network was trained to segment the aorta and the pulmonary arteries in 3D MRI, and its performance was evaluated in the context of a CFD application. The network performs well in terms of Dice score and is shown to lead to accurate pressure and flow velocity fields, with errors at the level of inter-observer variability. |
| 333
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Free-running contrast-enhanced ultra-short TE (UTE) for cardiac and respiratory motion-resolved flow artifact-free 5D whole-heart MRI |
| Giulia M.C. Rossi1, Ludovica Romanin1,2, Mariana B.L. Falcão1, Bastien Milani1, Davide Piccini1,2, Jérôme Yerly1,3, Jürg Schwitter4,5,6, Milan Prša7, Tobias Rutz8, Estelle Tenisch1, Matthias Stuber1,3, and Christopher W. Roy1 | ||
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland, 3CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 4Division of Cardiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 5Director CMR-Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 6Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland, 7Division of Pediatric Cardiology, Woman-Mother-Child Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 8Service of Cardiology, Heart and Vessel Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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Free-running whole-heart MRI can suffer from flow artifacts. Despite the efficiency of 3D radial UTE in minimizing the latter, its integration as a free-running sequence has so far been challenging due to poor-quality self-gating, which has necessitated an inefficient dual-echo approach. In this work we show that self-gating signals from a single-echo ferumoxytol-enhanced free-running 3D radial UTE sequence are comparable to the dual-echo approach, allowing to significantly improve scanning efficiency and produce dynamic images that are free from flow artifacts. |
| 334 | 17:57
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Pulmonary vein MRA with reduced sensitivity to off-resonance using optimized contrast preparation |
| Mohamed Nagiub1, Madhusudan Ganigara1, Bharti Sharma1, René Botnar2, Tarique Hussain1, and Joshua S Greer1 | ||
1Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States, 2Biomedical Engineering, King's College London, London, United Kingdom |
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3D bSSFP is the standard for anatomical evaluation of congenital heart disease, but provides suboptimal visualization of the pulmonary veins due to off resonance and flow. Solutions have been proposed to reduce the sensitivity of the bSSFP acquisition to these factors with limited success. However, the T2prep pulse that is routinely applied for bSSFP imaging also likely contributes to pulmonary vein signal loss. In this study, we compare multiple contrast preparation schemes for 3D bSSFP imaging which minimize sensitivity of off-resonance to improve pulmonary vein visualization. |
| 335 | 16:45
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Dual-module velocity-selective arterial spin labeling (dm-VSASL) using velocity-selective saturation and inversion pulses |
| Jia Guo1,2 | ||
1Bioengineering, University of California Riverside, Riverside, CA, United States, 2Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States |
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Recently velocity-selective saturation (VSS) based dual-module (dm-) preparation and velocity-selective inversion (VSI) based preparation have demonstrated improved SNR efficiency in velocity-selective arterial spin labeling (VSASL) than conventional single-module VSS based preparation. In this study, a novel strategy was developed to allow dm-VSI labeling to further improve the SNR efficiency. Implementation of dm-VSASL were evaluated for VSS and/or VSI combinations. The theoretical performance was compared via ASL signal modeling, and then validated by in vivo human experiments with an increase of 6.6%. Dm-VSASL is capable of providing further improved SNR performance, with potentially better suppression of diffusion attenuation/eddy current artifacts. |
| 336 | 16:57
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Enhanced superselective pseudo-Continuous Arterial Spin Labeling using parallel transmission with B1 phase shimming at 7T |
| Chenyang Zhao1, Kai Wang1, and Danny JJ Wang1,2 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Superselective pseudo-Continuous Arterial Spin Labeling (SS-pCASL) suffers from low labeling efficiency due to B1 inhomogeneity at 7T. An enhanced SS-pCASL using parallel transmission with B1 phase shimming was proposed. B1 phase shimming algorithm was designed to penalize low and high B1 amplitude in the labeled and unlabeled ICA, respectively. B1 amplitude was increased by 40% for the labeled ICA and decreased by 90% for the unlabeled ICA. Simulation and in-vivo results demonstrated that enhanced SS-pCASL improved labeling efficiency for the labeled ICA and suppressed labeling oscillation for the unlabeled ICA. |
| 337 | 17:09
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Deoxyhemoglobin versus Gadolinium as Contrast in Dynamic Susceptibility Perfusion Imaging: Simulations and Scan Validations |
| Jacob Benjamin Schulman1, Ece Su Sayin2, Julien Poublanc3, Angelica Manalac1, Joseph A Fisher4, Olivia Sobczyk4, James Duffin4, Harrison Levine2, David J Mikulis3, and Kamil Uludag5 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physiology, University of Toronto, Toronto, ON, Canada, 3Joint Department of Medical Imaging and the Functional Neuroimaging Lab, University Health Network, Toronto, ON, Canada, 4Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada, 5Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada |
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DSC-MRI requires bolus administration of gadolinium, an exogenous contrast agent with notable limitations. We used simulations to compare gadolinium with a deoxyhemoglobin bolus generated in the lungs as perfusion contrast and verified the findings in healthy human subjects. We found that the calculated cerebral blood volume is dependent on the contrast agent, the magnitude of deoxyhemoglobin concentration increase (dosage), and the baseline oxygen saturation. We also found a reduction of macrovascular contamination with deoxyhemoglobin contrast. This work reveals novel insights for the use of deoxyhemoglobin, an endogenous and safe contrast agent for determining perfusion in the human brain. |
| 338 | 17:21
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Subject-specific optimization of background suppression for arterial spin labeling MRI using a real-time feedback loop on the scanner |
| Kirsten Koolstra1, Marius Staring1, Paul de Bruin2, and Matthias J P van Osch1 | ||
1Leiden University Medical Center, Leiden, Netherlands, 2Philips, Best, Netherlands |
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Background suppression (BGS) in arterial spin labeling (ASL) leads to perfusion images with a higher temporal signal-to-noise ratio (tSNR) compared to ASL without BGS. The optimal inversion times (TIs), and therefore the quality of the BGS, depend on the T1 relaxation times of the underlying tissue and on inhomogeneities of the scanner’s magnetic fields (B0, B1+). In this work, we designed and implemented a feedback mechanism that optimized the quality of background suppression in real time on the scanner. The results show an increased tSNR for the subject-specific optimization of BGS compared to standard BGS in 12 healthy volunteers. |
| 339
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Development of perfusion technique with dynamic BOLD MRI and transient hypoxia in mouse |
| THI THUY LE1, DONG KYU LEE2, GEUN HO IM2, and SEONG GI KIM1 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea, Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Republic of Korea, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Republic of Korea, Suwon, Korea, Republic of |
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Tissue perfusion can be measured by arterial spin labeling and dynamic susceptibility contrast (DSC) method. However, these methods cannot be easily applied to mouse. Alternatively, a bolus of paramagnetic deoxyhemoglobin induced by transient hypoxia may be used as an endogenous blood pool contrast agent. Dynamic BOLD MRI with hypoxic challenge was adopted in mice. A stimulus duration was determined, and its impact to animal physiology was investigated. With corrected arterial input function, quantitative CBF and CBV were determined. Overall, we successfully developed a technique with BOLD MRI and transient hypoxia. |
| 340 | 17:45
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Learning Time-Adaptive Data-Driven Sampling Pattern for Accelerated 3D Myocardial Perfusion Imaging |
| Valery Vishnevskiy1, Tobias Hoh1, and Sebastian Kozerke1 | ||
1University and ETH Zurich, Zurich, Switzerland |
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We investigated potential benefits of optimizing accelerated 3D myocardial perfusion MRI by time-adaptive data-driven k-t Cartesian sampling during the scan. To this end, the sampling mask for each following acquisition window is inferred by a neural network on the fly using the acquired history of MR signal projections. It is demonstrated that time-adaptive data-driven sampling reduces reconstruction errors by 25% along with a reduction of signal underestimation during the contrast bolus passage when compared to a predefined fixed sampling pattern. |
| 341 | 17:57
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Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling |
| Thomas W Okell1, Joseph G Woods2, and Mark Chiew1 | ||
1Wellcome Centre for Integrative Neuroimaging (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2CFMRI, Department of Radiology, University of California San Diego, San Diego, CA, United States |
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A Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling (CASPRIA) pulse sequence is presented which allows the simultaneous acquisition of non-contrast dynamic angiograms, quantitative perfusion maps and multi-contrast T1-weighted structural images within a single six-minute scan. Compared to conventional imaging methods, which took 70% longer to acquire, CASPRIA yielded comparable quantitative perfusion estimates, dynamic (rather than static) angiography with improved distal vessel visibility and structural images with greater contrast flexibility. With further work, the estimation of quantitative tissue T1 values could also be possible. |
| 342 | 16:45
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The Knee Connectome: Studying Localized Synchrony in 8-year Cartilage Changes in Thickness and T2 |
| Jennifer Anne Cummings1, Kenneth Gao1, Vincent Chen2, Alejandro Morales Martinez2, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1University of California, San Francisco, San Francsico, CA, United States, 2University of California, San Francisco, San Francisco, CA, United States |
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The trajectories of femur cartilage thickness and T2 relaxation time over an 8 year period were analyzed for 787 subjects from the Osteoarthritis Initiative dataset. Biomarkers were automatically extracted and used to generate time series for 27 regions of interest within the cartilage map to create a connectivity matrix (connectome). Statistically significant differences in thickness and T2 trajectories were found to correlate with demographic and clinical factors such as sex, BMI, Radiographic OA and presence of knee pain. |
| 343 | 16:57
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T1ρ can detect microstructural changes in cartilage induced by conservative interventions: a one-year randomized controlled trial |
| Valentina Mazzoli1,2, Scott Uhlrich2,3, Feliks Kogan1, Amy Silder2,4, Andrea Finlay5, Scott Delp 3,4, Gary Beaupre4,6, Julie Kolesar4,6, and Garry Gold1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Musculoskeletal Research Laboratory, VA Palo Alto Healthcare System, Palo Alto, CA, United States, 3Mechanical Engineering, Stanford University, Stanford, CA, United States, 4Bioengineering, Stanford University, Stanford, CA, United States, 5Center for Innovation and Implementation, VA Palo Alto Healtcare System, Palo Alto, CA, United States, 6Musculoskeletal Research Laboratory, VA Palo Alto Healtcare System, Palo Alto, CA, United States |
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We performed a single-blind randomized clinical trial in subjects with medial knee OA to evaluate the effect of a gait modification. Primary outcomes were pain and KAM (surrogate measure of medial knee loading). We also utilized cartilage T2 and T1ρ to assess (micro)structural changes induced by the treatment. In the Intervention group, we observed a greater reduction in pain and KAM (reduced loading), and less increase in T1ρ in the medial femoral compartment, potentially indicating slowed cartilage degeneration. Our study shows that quantitative cartilage MRI is a promising outcome measure in clinical trial assessing non-surgical treatment for knee OA. |
| 344 | 17:09
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DTI of articular cartilage can predict 3-year radiographic progression in OA patients at early stage of disease |
| Jose G Raya1, Alejandra Duarte2, Richard Kijowski1, Svetlana Krasnokutsky-Samuels1, Jenny T Bencardino3, and Jonathan Samuels1 | ||
1NYU Langone Medical Center, New York, NY, United States, 2Fundacion Santa Fe de Bogota, Bogota, Colombia, 3Penn Medicine, Philadelphia, PA, United States |
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The goal of this study is to validate DTI of articular cartilage at 3T as a biomarker for OA progression in a population at early stages of the disease and high likelihood of short-term progression. The goal of this study is to validate DTI of articular cartilage at 3T as a biomarker for OA progression in a population at early stages of the disease and high likelihood of short-term progression. We show that DTI has potential for prognosis of 3-year radiographic changes in a population with early stages of disease. |
| 345
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17:21
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Deep Learning Predicts Synthetic T1rho Maps from T2 Maps for Knee MRI |
| Michelle W. Tong1,2, Aniket A. Tolpadi1,2, Alex Beltran1,2, Sharmila Majumdar2, and Valentina Pedoia 2 | ||
1Department of Bioengineering, University of California Berkeley, Berkeley, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California San Francsico, San Francisco, CA, United States |
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This study explores the use a deep learning network to generate T1rho maps from T2 maps for knee MRI. T1rho maps have clinical value in the diagnosis of osteoarthritis in addition to T2 maps while T2 maps are more widely adopted and available in clinical datasets. This study found synthetic T1rho maps images maintain excellent fidelity for data collected in a research setting while performance is reduced for data collected in a clinical setting. This work elucidates the promise of deep learning in accelerating imaging protocols through domain adaptation as opposed to more common reconstruction approaches. |
| 346 | 17:33
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Deformation-field magnetic resonance imaging for non-invasive evaluation of disc deformation in vivo |
| Frida Johansson1,2, Zainab Sirat1, Hanna Hebelka1,3, Helena Brisby1,4, Fredrik Nordström1,2, and Kerstin Lagerstrand1,2 | ||
1Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden, 2Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden, 4Department of Orthopaedics, Sahlgrenska University Hospital, Gothenburg, Sweden |
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In vivo evaluation of the intervertebral disc (IVD) during spinal loading may yield greater insight into the biomechanical properties of the IVD. This study aimed to investigate how the lumbar IVD deforms during loading, quantified with a novel non-invasive method utilizing MRI and image registration. Findings showed that the intradiscal deformation depends not only on disc degeneration but also on the lumbar spine level. This highlights the need for tools that can evaluate the mechanical properties of the disc in vivo. The proposed method offers a possibility to depict and track biomechanical changes non-invasively while characterizing disc structures in detail. |
| 347 | 17:45
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Bi-exponential UTE-T2* Evaluation of Longitudinal Changes in Knee Cartilage Over 2 Years Following Anterior Cruciate Ligament Reconstruction |
| Ashley A Williams1,2, Yongxian Qian3,4, and Constance R Chu1,2 | ||
1Orthopaedic Surgery, Stanford University, Stanford, CA, United States, 2Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States, 3Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 4Center for Biomedical Imaging, NYU Langone Health, New York, NY, United States |
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This work evaluates mono- and bi-exponential UTE-T2* relaxation in 6 tread mark regions of knee cartilage of 18 participants with ACL-injury prior to reconstruction surgery and in 15/18 participants 2 years after surgery. Bi-exponential T2*short had a smaller fractional contribution than T2*long in all regions examined. However, T2*short accounted for a higher fraction of total signal in deep cartilage layers compared to superficial. While both mono- and bi-exponential UTE-T2* analyses showed significant longitudinal changes, bi-exponential analyses did not exceed the sensitivity of mono-exponential UTE-T2* for detection of knee cartilage compositional changes over the first two years following ACL reconstruction. |
| 348 | 17:57
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High Frame Rate Strain and Viscoelastic Analysis on Bovine Tibiofemoral Joints During Compression |
| Woowon Lee1, Emily Y Miller2, Callan M Luetkemeyer1, and Corey P Neu1,2 | ||
1Paul M. Rady Department of Mechanical Engineering, University of Colorado, Boulder, CO, United States, 2Biomedical Engineering Program, University of Colorado, Boulder, CO, United States |
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Osteoarthritis (OA) is a degenerative process in cartilage mainly occurring in knee. OA affects the structure and function of cartilage thus, measuring the mechanical properties of cartilage is crucial. We use spiral DENSE MRI to quantify the mechanics of intact and defected bovine articular cartilage. The samples underwent cyclic compressive load and 27 frames are captured while the joint was compressed. Displacement and strain gradually increased over time and the defected cartilage showed higher strain in the tibiofemoral contact areas. We also found creep response in the defected cartilage which may be a potential biomarker for OA detection. |
| 349 | 18:09
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Cartilage T2 Relaxation Times are Related to Walking Asymmetries in Osteoarthritic Knees |
| Amelia Kruse1, Austin Carcia1, Adam Bradshaw1, Charles Ho1, Johnny Huard1, Scott Tashman1, and Lauren Watkins1 | ||
1Steadman Philippon Research Institute, Vail, CO, United States |
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In this exploratory study, we examine relationships between joint function and cartilage composition in individuals with knee osteoarthritis (OA). MRI T2 relaxation times were used to assess articular cartilage and joint kinematics were recorded over walking gait cycles using video-motion analysis. There were significant correlations between cartilage T2 relaxation times and knee flexion, extension, and swing-stance ratio in both affected and contralateral legs. MRI measures of cartilage quality and joint function provide complimentary information that may be useful in measuring disease progression and intervention effectiveness using MRI. |
| 350
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Prospective motion correction for 2D T1-Mapping in the liver using an ultra-wideband radar system |
| Tom Neumann1, Juliane Ludwig1, Kirsten M. Kerkering1, Peter Speier2, Frank Seifert1, and Christoph Kolbitsch1 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, 2Siemens Healthcare, Erlangen, Germany |
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We present a radar-based approach for prospective motion correction for 2D T1 mapping of the abdomen. An ultra-wideband radar signal is acquired simultaneously but otherwise completely independent of the MR measurement. This allows us to correct for in-plane as well as through-plane motion during MR acquisition. This is especially important for 2D T1 mapping, where motion can cause not only blurring and streaking artifacts, but also inaccurate values when unexcited volumes move through the recorded image plane. It is demonstrated that the method strongly improves T1 maps in phantom and in-vivo scans. |
| 351 | Pitch: 16:47 Poster: 16:49 Plasma 2
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Silent Motion-Corrected ZTE for Quantitative T1 and T2 mapping |
| Emil Ljungberg1,2, Tobias C Wood2, Ana Beatriz Solana3, Gareth J Barker2, and Florian Wiesinger2,3 | ||
1Medical Radiation Physics, Lund University, Lund, Sweden, 2Neuroimaging, King's College London, London, United Kingdom, 3GE Healthcare, Munich, Germany |
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We present a method for retrospective motion-correction of silent ZTE for quantitative T1 and T2 mapping using self-navigation. A spiral phyllotaxis k-space trajectory was used to reconstruct motion navigators, which then were co-registered to obtain motion parameters. The method is demonstrated for neuroimaging, showing improved image quality of quantitative T1 and T2 maps after motion correction. These results further showcase the capacity of ZTE for robust, silent neuroimaging. |
| 352 | Pitch: 16:49 Poster: 16:51 Plasma 3
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Energy dependent z-scores improve parallel imaging motion correction using trimmed autocalibrating k-space estimation (TAKE) |
| Jeremy Beaumont1, Thomas Troalen2, Swetali Nimje1,3, Stanislas Rapacchi1, and Ludovic de Rochefort1 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2Siemens Healthcare SAS, Saint-Denis, France, 3Aix Marseille Univ, CNRS, LIS, Marseille, France |
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MRI motion corruption prevents clinical interpretation and image analysis for research purposes. The trimmed autocalibrating k-space estimation based on parallel imaging and structured matrix completion (TAKE) algorithm was previously proposed to retrospectively correct motion corrupted raw k-space data. This study proposes specific modifications of the TAKE algorithm to decrease its computation time and improve the detection of motion-corrupted k-space data. The proposed changes significantly improve the TAKE motion detection sensitivity and specificity along with its motion correction performance, while sufficiently decreasing its computation time to allow for its use in a standard clinical routine workflow. |
| 353 | Pitch: 16:51 Poster: 16:53 Plasma 4
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Prospective Head Motion Correction Using Orbital K-Space Navigators and a Linear Perturbation Model |
| Thomas Ulrich1, Malte Riedel1, and Klaas Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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It has recently been proposed to estimate head motion from orbital k-space navigators based on a linear signal model of the complex-valued navigator signal. In this work, we describe the combination of this algorithm with prospective motion correction, forming a control circuit that tracks the head so that the linear model remains valid also for large motion ranges. This ability is demonstrated by implementation and in-vivo imaging at 7T. |
| 354
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Pitch: 16:53 Poster: 16:55 Plasma 5
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Spread-Spectrum Modulated Pilot Tone (SSMPT) for Motion Sensing |
| Daniel Raz Abraham1, 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. However, the PT must be placed outside the imaging band. This is not always feasible for all types of imaging (e.g. spine imaging) and systems, since the PT may overlap with the image. In this work, we propose Spread-Spectrum Modulated Pilot Tone (SSMPT), which spreads the energy of the pilot tone over the entire imaging band. SSMPT produces comparable motion estimates to PT and respiratory bellows, as demonstrated in a free-breathing scan with a healthy volunteer. |
| 355 | Pitch: 16:55 Poster: 16:57 Plasma 6
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Self-supervised Training for Single-Shot Tumor Tracking in the Presence of Respiratory Motion |
| Marcel Früh1,2, Tobias Hepp1,3, Andreas Schilling4, Sergios Gatidis1,3, and Thomas Küstner1 | ||
1Medical Image And Data Analysis (MIDAS.lab), Department of Interventional and Diagnostic Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2University of Tuebingen, Tuebingen, Germany, 3Max Planck Institute for Intelligent Systems, Tuebingen, Germany, 4Department of Computer Science, Institute for Visual Computing, University of Tuebingen, Tuebingen, Germany |
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Real-time tumor tracking is a task of growing importance due to the increasing availability of modern linear accelerators paired with MR imaging, called MR-LINAC. Physiological motion can thereby impair focal treatment of moving lesions.Classical tracking approaches often work inadequately because they operate only at the pixel level and thus do not include image-level information.Contrarily, learning based tracking systems typically require a large, fully-annotated dataset which is an arduous task to create. In this work, we propose a framework for example-based single-shot tumor tracking, which is trained without presence of labels and investigated for lesion tracking under respiratory motion. |
| 356 | Pitch: 16:57 Poster: 16:59 Plasma 7
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Measuring Diffusion of Healthy Human Muscle During Continuous Exercise from Motion-Compensated Intravoxel Incoherent Motion (IVIM) MRI |
| Anna N Foster1, Jaume Coll-Font1,2,3, Or Perlman2,3, Shi Chen1, Robert A Eder1, Christian T Farrar2,3, and Christopher T Nguyen1,2,3,4 | ||
1Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Health Science Technology, Harvard-MIT, Cambridge, MA, United States |
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To date, it is unclear if diffusion increases in skeletal muscles during exercise. We measured diffusion, perfusion, perfusion fraction, and capillary blood flow in the calf during continuous exercise from IVIM fits on both standard (M0) and second order motion-compensated (M2) DWI sequences combined with motion artifact rejection. As diffusion estimates from M2 proved unchanged by artifact rejection at various thresholds, it was used in choosing an outlier threshold. Without artifact rejection, M0 reported diffusion increases. Once artifacts were removed from M0 using this threshold, it measured similar diffusion values to M2 and neither sequence showed diffusion increases during exercise. |
| 357 | Pitch: 16:59 Poster: 17:01 Plasma 8
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Denoising task-correlated head motion in motor-task fMRI data using multi-echo ICA |
| Neha A. Reddy1,2, Rachael C. Stickland1, Kimberly J. Hemmerling1,2, Kristina M. Zvolanek1,2, César Caballero-Gaudes3, and Molly G. Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Evanston, IL, United States, 3Basque Center on Cognition, Brain and Language, Donostia, Spain |
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Multi-echo independent component analysis (ME-ICA) has been shown to differentiate the effects of head motion from desired BOLD signal in fMRI data, but this method has not been tested in motor-task studies with high amounts of task-correlated head motion. We investigated four denoising models on multi-echo motor-task data with limited and amplified task-correlated motion: Aggressive, Moderate, and Conservative ME-ICA nuisance regression models and a conventional optimally combined (OC) model. ME-ICA models were found to better dissociate head motion and BOLD signal variance than the OC model. Among them, the Aggressive model had the most consistent activation results with amplified motion. |
| 358
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Pitch: 17:01 Poster: 17:03 Plasma 9
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A group-wise cardiac motion estimation network leveraging temporal correlation |
| Jiazhen Pan1, Daniel Rueckert1,2, Thomas Kuestner3, and Kerstin Hammernik1,2 | ||
1AI in Medicine, Technical University of Munich, Munich, Germany, 2Department of Computing, Imperial College London, London, United Kingdom, 3Medical Image And Data Analysis (MIDAS.lab), University Hospital of Tübingen, Tübingen, Germany |
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Cardiac motion estimation is the gold-standard for assessing cardiac function and complementing cardiac image reconstruction. However, previous approaches in this area either suffered from long registration times or low accuracy because the inherent temporal correlation of the cardiac motion is not leveraged. In this work, we propose a method called GRAFT, which takes multiple cardiac frames as inputs to leverage the temporal correlation. Furthermore, temporal coherence is ensured by introducing the temporal smoothness loss during the training. Our experiments indicate that GRAFT can provide competitive deformation estimation results to state-of-the-art methods and outperform them in subsequent motion-compensated MRI reconstruction. |
| 359 | Pitch: 17:03 Poster: 17:05 Plasma 10
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Multi-shot DW-EPI using a modified interleaving scheme and second-order motion-compensated diffusion sensitization |
| Eric Seth Michael1, Franciszek Hennel1, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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Multi-shot techniques for diffusion MRI are desirable because of the associated improvement potential in image resolution but are inhibited by phase variability across interleaves, which results from subject motion and causes ghosting. Here, an EPI-based acquisition strategy is devised which diminishes the ghosting pattern by employing a modified interleaving scheme and mitigates motion sensitivity by nulling the first- and second-order moments of the diffusion-sensitizing gradient waveforms. This solution yielded unperturbed, high-resolution images in in vivo human brain scans and clear improvements in image quality compared to acquisitions incorporating standard interleaving and uncompensated diffusion sensitization. |
| 360 | Pitch: 17:05 Poster: 17:07 Plasma 11
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NeuroMix - A motion robust single scan brain exam |
| Tim Sprenger1,2, Adam van Niekerk2, Johan Berglund3, Henric Rydén2,4, Enrico Aventi2,4, and Stefan Skare2,4 | ||
1GE Healthcare, Stockholm, Sweden, 2Karolinska Institutet, Stockholm, Sweden, 3Uppsala University Hospital, Uppsala, Sweden, 4Karolinska University Hospital, Stockholm, Sweden |
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We have presented a new multi-contrast sequence, NeuroMix, which acquires T1w, T2w, T2-FLAIR, T2*w, and DWI contrasts in a single scan, requiring only one prescription and one prescan. NeuroMix includes single-shot EPI and FSE readouts as well as optional multi-shot FSE and 3DEPI acquisitions. The motion robustness of NeuroMix’s single-shot contrasts was generally good even when NeuroMix’s multi-shot sequences were unusable due to motion corruption resulting in a high probability to obtain diagnostic images. In conclusion, NeuroMix enables a fast and motion robust single-scan brain exam allowing higher patient throughput with less discomfort and possibly less need for sedation. |
| 361 | Pitch: 17:07 Poster: 17:09 Plasma 12
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The impact and correction of inter-scan motion artefacts in variable flip angle R1 mapping at 3T and 7T |
| Martina F Callaghan1, Ali Aghaeifar1,2, Yael Balbastre1,3, and Nadège Corbin1,4 | ||
1Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 4Centre de Résonance Magnétique des Systèmes Biologiques, CNRS/University Bordeaux, Bordeaux, France |
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Images acquired with variable nominal flip angle (VFA) can be combined with a map of the transmit field efficiency and a signal model to estimate the longitudinal relaxation rate, R1. However, if motion occurs between the acquisition of the VFA volumes the inherent assumptions of consistent receive field modulation and transmit field efficiency can be violated causing substantial errors in R1. Through in vivo experiment and simulation we show that the differential receive field modulation introduces the largest amount of error. We further show that the majority of the error can be mitigated with a simple, time efficient correction. |
| 362 | Pitch: 17:09 Poster: 17:11 Plasma 13
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Shuttered Echo Planar fMRI with Dynamic Motion and Phase Correction |
| Saikat Sengupta1,2, Jonathan R Polimeni3,4,5, Kawin Setsompop6, and William A Grissom1,7 | ||
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 6Radiological Sciences Laboratory, Stanford University, Standford, CA, United States, 7Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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Achieving submillimeter-resolution BOLD fMRI is a challenge since single-shot EPI suffers from long echo times, blurring, and image distortions, while multishot EPI suffers from motion- and respiration-induced shot-to-shot phase errors. In shuttered multishot EPI, data are acquired in each shot after exciting a set of interleaved “shutters” across the imaged slice. This enables high quality reconstructions from each shot, which in turn enables navigator-free shot-wise phase and motion corrections prior to reconstructing a full-FOV image. Herein we describe a full motion- and phase-correcting image reconstruction for dynamic shuttered EPI and validate it in head motion and BOLD fMRI experiments. |
| 363 | Pitch: 17:11 Poster: 17:13 Plasma 14
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Advances in short-wave motion tracking: Jaw-mount markers and prospective motion correction |
| Christoph Michael Schildknecht1, David Otto Brunner1, Thomas Schmid1, and Klaas Paul Prüssmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zürich, Switzerland |
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Prospective motion correction has demonstrated significant value for human brain MRI. One issue that all marker-based motion trackers share is the marker fixation to the human head. Short-wave motion tracking can solve this issue since the small wireless marker can directly be attached to the upper jaw with the mouth completely closed. In this work, we present PMC in-vivo imaging with such a sensor. The high temporal and spatial resolution can be observed in the measured physiological motion trajectories, illustrating the high-quality motion of this sensor. |
| 364 | Pitch: 17:13 Poster: 17:15 Plasma 15
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High resolution diffusion-weighted MRI combining markerless prospective motion correction and locally low-rank constrained reconstruction |
| Ke Dai1, Hao Chen1, Sijie Zhong1, Haoran Bai1, Jiaxu Zheng2, Xinyue Zhang2, Shasha Yang2, Tuoyu Cao2, Lucio Frydman3, Chaohong Wang2, and Zhiyong Zhang1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2United Imaging Healthcare, Shanghai, China, 3The Weizmann Institute of Science, Rehovot, Israel |
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High-resolution diffusion-weighted MRI is susceptible to head movement artifacts and background phase variations. We investigate a crucial combination of prospective motion correction and Spatial-angular local low rank (SPA-LLR) constrained reconstruction to obtain robust multi-shot high-resolution diffusion-weighted MRI under substantial motion. Prospective motion correction with optical markerless motion tracking is used to remove artifacts and blurring due to bulk motion whereas locally low-rank regularization is used to correct remaining artifacts due to the background phase variations from scan to scan. We present the results in healthy adult volunteers, demonstrating high-resolution diffusion-weighted images and FA images under different motion patterns with PMC. |
| 365
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Mesoscale myelin-water fraction and T1/T2/PD mapping through optimized 3D ViSTa-MRF and stochastic reconstruction with preconditioning |
| Congyu Liao1,2, Xiaozhi Cao1,2, Siddharth Srinivasan Iyer1,3, Zihan Zhou4, Yunsong Liu5, Justin Haldar5, Mahmut Yurt1,2, Ting Gong6, Zhe Wu7, Hongjian He4, Jianhui Zhong4,8, Adam Kerr1,9, and Kawin Setsompop1,2 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Center for Brain Imaging Science and Technology, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 5Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States, 6Centre for Medical Imaging Computing, Department of Computer Science, University College London, London, United Kingdom, 7Techna Institute, University Health Network, Toronto, ON, Canada, 8Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 9Stanford Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States |
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In this work, we developed ViSTa-MRF, which combined Visualization of Short Transverse relaxation time component (ViSTa) technique with MR Fingerprinting (MRF), to achieve high-fidelity whole-brain myelin-water fraction (MWF) and T1/T2/PD mapping at sub-millimeter isotropic resolution on a clinical 3T scanner. To achieve fast acquisition and memory-efficient reconstruction, the ViSTa-MRF sequence leverages an optimized 3D tiny-golden-angle-shuffling (TGAS) spiral-projection acquisition and stochastic subspace reconstruction with optimized k-space diagonal preconditioning. With the proposed ViSTa-MRF method, high-fidelity direct MWF mapping was achieved without a need for multi-compartment fitting. |
| 366
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Multicenter reproducibility of quantitative MRI using vendor-neutral sequences (VENUS) |
| Agah Karakuzu1,2, Julien Cohen-Adad1,3, and Nikola Stikov1,2 | ||
1NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, Montreal, QC, Canada, 3Unité de Neuroimagerie Fonctionnelle (UNF), Centre de recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada |
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Vendor-native implementations can lead to unaccounted variance in quantitative MRI (qMRI). The purpose of this study is to show that fully transparent qMRI workflows coupled with VEndor-NeUtral Sequences (VENUS) improve multicenter reproducibility of quantitative MRI maps across three scanners by two vendors, in phantoms and in-vivo. We developed and deployed a vendor-neutral 3D spoiled gradient-echo (SPGR) sequence on three commercial scanners and showed that vendor-neutral qMRI maps of T1, MTR and MTsat outperform their vendor-native counterparts in terms of reproducibility. |
| 367
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Multi-vendor comparison of three-dimensional multi-parametric mapping of the human brain at 3T: A multi-center study |
| Shohei Fujita1,2, Borjan Gagoski3,4, Ken-Pin Hwang5, Marcel Warntjes6,7, Akifumi Hagiwara1, Issei Fukunaga1, Wataru Uchida1, Yuma Nishimura1, Tomoya Muroi1, Toshiya Akatsu1, Akihiro Kasahara2, Ryo Sato2, Tsuyoshi Ueyama2, Christina Andica1, Koji Kamagata1, Shiori Amemiya2, Hidemasa Takao2, Osamu Abe2, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 6SyntheticMR, Linköping, Sweden, 7Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden |
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Cross-vendor techniques enabling the pooling of data among different vendors is desired in multi-center projects; however, few mapping techniques have shown compatibility. In this study, we examined the intra-scanner repeatability and inter-vendor reproducibility of quantitative measurements obtained via a multi-parametric mapping technique, 3D-QALAS. Volunteers underwent scan-rescan sessions on four different 3T systems from three MRI vendors (GE, Philips, and Siemens). T1, T2, and PD values and brain tissue volumes of healthy volunteers derived from 3D-QALAS were robust across scanners from different vendors (inter-vendor coefficient of variation=3.3%). The data in this study will inform future technical developments for 3D-QALAS. |
| 368 | Pitch: 16:51 Poster: 16:53 Plasma 19
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Microscopic neuropathology can be seen using accelerated combined diffusion-relaxation MRI |
| Dan Benjamini1, Mustapha Bouhrara1, Michal E Komlosh2, Diego Iacono3, Daniel P Perl3, David L Brody3, and Peter J Basser2 | ||
1National Institute on Aging, Baltimore, MD, United States, 2National Institute of Child Health and Human Development, Bethesda, MD, United States, 3Uniformed Services University of the Health Sciences, Bethesda, MD, United States |
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Here we present MRI acquisitions that maximize the amount of information in an image by using a combination of magnetic field profiles to probe relaxation and diffusion mechanisms simultaneously, thus resolving sub-voxel information from ex vivo brain segments of human subjects that sustained traumatic brain injury. We then propose a strategy to refine the ensuing abundance of high-dimensional data, and to sort and recover biologically relevant information into actionable and quantitative injury biomarker images that capture subtle neuropathology. |
| 369
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Quantitative atlas of T1 relaxation times in the cerebral cortex for personalized characterization of pathology |
| Gian Franco Piredda1,2,3, Marion Claudet1, Tom Hilbert1,2,3, Manuela Vaneckova4, Jan Krasensky4, Michaela Andelova5, Tomas Uher5, Eva Kubala Havrdova5, Karolina Vodehnalova5, Dana Horakova5, Karl Egger6, Shan Yang6, Riccardo Ludovichetti7, Lindsey A. Crowe7, Bénédicte M. A. Delattre7, Maria Isabel Vargas7, Veronica Ravano1,2,3, Bénédicte Maréchal1,2,3, Jean-Philippe Thiran2,3, and Tobias Kober1,2,3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 5Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 6Department of Neuroradiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 7Divsion of Neuroradiology, Department of Radiology and Medical Informatics, Hôpitaux Universitaires de Genève (HUG), Geneva, Switzerland |
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Comparing single-patient data to atlases of normative relaxation times in the brain enables personalized characterization of pathological tissue. However, an accurate comparison is challenging in the cortex due to the gyrification of gray matter and resulting registration problems. This work addresses this problem for parametric T1 maps that were acquired from 285 healthy subjects. A method aligning inter-subject brain cortices was developed to enable the comparison of cortical T1 values. We thus established a normative atlas accounting for healthy T1 values in brain cortical tissues, to be used to detect and characterize pathology-induced T1 alterations in patients. |
| 370
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Beyond qMRI: Biological tissue properties from single-subject unsupervised deep learning with theoretical signal constraints |
| Ilyes Benslimane1, Günther Grabner2, Simon Hametner3, Thomas Jochmann1,4, Robert Zivadinov1,5, and Ferdinand Schweser1,5 | ||
1Department of Neurology, Buffalo Neuroimaging Analysis Center, Buffalo, NY, United States, 2Department of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria, 3Department of Biomedical Imaging and Image-Guided Therapy, High Field MR Centre, Medical University of Vienna, Austria, 4Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, 5Center for Biomedical Imaging, Clinical and Translational Science Institute at the University at Buffalo, Buffalo, NY, United States |
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Most quantitative MRI (qMRI) parameters co-depend on multiple tissue properties, limiting their clinical value. Here, we introduce a biophysically constrained autoencoder network that accepts multiparametric MR data and outputs underlying biological tissue parameters. The method requires no ground truth data, no knowledge of the (generally unknown) biophysical model parameters, and a single subject provides sufficient training data. We validated the method using ex vivo iron and myelin stains. |
| 371
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Selective Encoding through Nutation and Fingerprinting (SENF): 1D Experimental Validation on a 47.5 mT Low-Field Scanner |
| Christopher E Vaughn1,2, N Reid Bolding3, Mark A Griswold4, and William A Grissom1,2 | ||
1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2VUIIS, Vanderbilt University, Nashville, TN, United States, 3Physics, Case Western Reserve University, Cleveland, OH, United States, 4Radiology, Case Western Reserve University, Cleveland, OH, United States |
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B0 gradients have several problems including cost, bulkiness, noise, and PNS. We propose to use a method called Selective Encoding through Nutation and Fingerprinting (SENF) which is a RF spatial encoding technique that also encodes quantitative information. In this abstract we validate SENF on a 47.5 mT low-field scanner using a high-flip MR Fingerprinting type sequence with a gradient RF coil to perform a 4-voxel 1D reconstruction that can differentiate between three materials (mineral oil, water, and air). |
| 372 | Pitch: 16:59 Poster: 17:01 Plasma 23
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Mapping the inversion efficiency (finv): Comparison between adiabatic pulses for use in MP2RAGE-based T1-mapping |
| Hampus Olsson1 and Gunther Helms1 | ||
1Medical Radiation Physics, Lund University, Lund, Sweden |
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Accuracy in MP2RAGE-based T1-mapping relies on knowledge of the imperfect inversion efficiency (finv) of the inversion pulse. Here we map the inversion efficiency of different adiabatic inversion pulses in human brain at 7T. We identified a mean finv=0.87, which is substantially lower than the finv=0.96 typically assumed in MP2RAGE. We further observed a lower finv in white matter (WM) than in the rest of the cerebrum. Subsequent T1 estimates differed by approximately 80 ms in WM and 200 ms in gray matter (GM) when assuming either finv=0.87 or finv=0.96. |
| 373 | Pitch: 17:01 Poster: 17:03 Plasma 24
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Denoising and Uncertainty Estimation in parameter mapping With Bayesian Deep Image Prior |
| Max Hellström1 and Anders Garpebring1 | ||
1Radiation Sciences, Umeå University, Umeå, Sweden |
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Tissue parameter estimation often gives noisy parameter maps due to noise in the signal data. In this work, we improve parameter mapping by incorporating noise reduction and uncertainty estimation with Bayesian Deep Image Prior. We implement task-specific loss functions for different applications. We test our method by estimating T1, T2, and ADC with synthetic- and in-vivo MRI data. Our method results in denoised tissue parameter maps, with associated error estimates. Our method is easy to implement, does not require any training data, and is easy to customize for different applications in parameter mapping. |
| 374 | Pitch: 17:03 Poster: 17:05 Plasma 25
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MR-Thermometry based targeting for histotripsy treatments in ex-vivo tissues |
| Dinank Gupta1, Dave Choi1, Steven Allen2, Tim Hall1, Zhen Xu1, and Douglas Noll1 | ||
1University of Michigan, Ann Arbor, MI, United States, 2Brigham Young University, Provo, UT, United States |
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The accuracy of using MR-Thermometry for pre-treatment targeting for histotripsy was evaluated on ex-vivo tissues. Eight brain samples were treated with an ultrasound array capable of performing both heating and histotripsy treatments. Heating was performed at array focus while MR-Thermometry images were acquired. Subsequently, histotripsy lesions were also made at the focus and post-treatment images were acquired. The location of MR-Thermometry estimated focal-zone was compared with the observed histotripsy lesion location to assess the accuracy of MR-Thermometry targeting. The mean error in estimated focus was about 1mm in all axes, suggesting MR-Thermometry would be suitable for pre-treatment targeting for histotripsy. |
| 375 | 16:45
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Inhomogeneous Magnetization Transfer (ihMT) imaging of the human brain at 7T |
| Olivier M. Girard1,2, Lucas Soustelle1,2, Thomas Troalen3, Andreea Hertanu1,2, Arash Forodighasemabadi1,2,4,5, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Gopal Varma6, David C. Alsop6, and Guillaume Duhamel1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Siemens Healthcare SAS, Saint-Denis, France, 4Aix-Marseille Univ, Université Gustave Eiffel, LBA, Marseille, France, 5iLab-Spine International Associated Laboratory, Marseille - Montreal, France, 6Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Inhomogeneous Magnetization Transfer (ihMT) MRI has raised interest for myelin imaging. Applications at ultra-high field are appealing for SNR considerations but are challenged by the reduction of available RF power due to regulatory SAR constraints and the need to account for inhomogeneities of the RF excitation field (B1+). In the current study we present experimental data acquired at 3T which validate two B1+-bias removal strategies. Then we further evaluate them at 7T and show preliminary results towards a robust ihMT protocol free from B1+ bias. |
| 376 | 16:57
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Feasibility of magnetization transfer measurement in distinct white matter connections |
| Pietro Bontempi1,2, Ilana R. Leppert3, Simona Schiavi1,4, Jennifer S. W. Campbell3, Mark Nelson3,5, Bruce G. Pike6, Christine L. Tardif3,5,7, and Alessandro Daducci1 | ||
1Department of Computer Science, University of Verona, Verona, Italy, 2Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy, 3McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 4Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genova, Italy, 5Department of Neurology and Neurosurgery, 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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Magnetization Transfer (MT) imaging is a MR technique that sensitizes image contrast to protons bound to macromolecules such as protein and lipids. Using an innovative sequence that combines MT and diffusion- imaging, and Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT), a method that allows estimation of bundle tissue properties, we investigate bundle specific MT ratio (MTR) values. |
| 377 | 17:09
|
Genetically Engineered “Multicolour” MRI Reporters for In Vivo Imaging of Transgenes Expression |
| Hyla Allouche-Arnon1, Olga Khersonsky2, Nishanth Deva Tirukoti1, Liat Avram3, Talia Harris3, Nirbhay N. Yadav4,5, Sarel J. Fleishman2, and Amnon Bar-Shir1 | ||
1Department of Molecular Chemistry and Materials Science, Weizmann institute of science, Rehovot, Israel, 2Department of Biomolecular Sciences, Weizmann institute of science, Rehovot, Israel, 3Department of Chemical Research Support, Weizmann institute of science, Rehovot, Israel, 4Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Genetically engineered multicolor fluorescent proteins have changed biomedical research by enabling multiplexed mapping of transgenes expression. However, although MRI reporter genes have been developed, the ability to monitor multiple reporters that are expressed simultaneously and present them in a multicolor fashion is still needed. Here, we present an MRI-based system, comprising computationally designed reporters (enzymes) combined with MRI-detectable synthetic probes (substrates) for non-invasive color-encoded MRI mapping of transgene expression. Systemically administered reporter probes exclusively accumulate in cells expressing the designed reporter genes allowing their spatial display as pseudo-colored CEST MRI maps as demonstrated in both tumor model and viral-delivery system. |
| 378
|
17:21
|
Deciphering the compartmental origin of glucoCEST signal using diffusion-weighted CEST-MRS |
| 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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Compartmental origin of glucoCEST signal is still an ongoing debate. To address this crucial question, we propose in this study to use diffusion-weighted CEST-MRS in order to disentangle extracellular/extravascular and intracellular contributions to the glucoCEST signal. D-glucose and 2-deoxy-D-glucose were injected intravenously and kinetics of glucoCEST signal were measured over time. The comparison of kinetics acquired with and without diffusion grandients showed that 2-deoxy-D-glucose glucoCEST signal was dominated by intracellular contribution, contrarily of D-glucose. This study could constitute a major step toward glucoCEST quantification and could be beneficial for several applications, especially to study energy metabolism defects in neurodegenerative disorders. |
| 379 | 17:33
|
Magnetic resonance imaging of cationic compounds using their proton exchange modulating effect |
| Zheng Han1,2, Safiya Aafreen3, Yang Zhou1,2,4, Chongxue Bie1,2, Jiadi Xu1,2, Lei Zheng5, Peter C.M. van Zijl1,2, and Guanshu Liu1,2 | ||
1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2F.M Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States, 3Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 5Oncology, Johns Hopkins University, Baltimore, MD, United States |
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Here we report a novel approach to detect non-labeled cationic compounds, named modulated saturation transfer (MOST)-MRI, based on their effect of modulating the exchange rate of surrounding exchangeable protons. MOST-MRI was able to detect polyethylenimine (PEI600, M.W. = 600 Da), at a high sensitivity (μM or μg/mL range) through its quenching effects on surrounding fast-exchanging protons. In animals, MOST-MRI detected the tumor uptake of PEI600 that was injected intratumorally at a low dose (50 μg/kg b.w.), indicating the potential of MOST-MRI for label-free imaging guidance that is needed for the development and clinical translation of cationic gene delivery systems. |
| 380 | 17:45
|
Diagnostic Performance of Diffusion Weighted Imaging, Arterial Spin Labeling and Amide Proton Transfer in sub-classifications of gliomas |
| DiaoHan Xiong1, Rui Wang1, Tao Wen1, TieJun Gan1, PengFei Wang1, XinYing Ren1, YuJing Li1, Jing Zhang1, and Kai Ai2 | ||
1Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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To assess the diagnostic performance of Amide Proton Transfer (APT) and Arterial Spin Labeling (ASL) for distinguishing different sub-classifications of gliomas in comparison with Diffusion Weighted Imaging (DWI). Forty patients underwent sequences including T1W enhancement, DWI, APT and 3D-pCASL. ADCmean, ADCmean-to-ADCNAWM ratio, APTmean, APTmean-to-APTNAWM ratio, regional cerebral blood flow (rCBF) and rCBFmean-to-rCBFNAWM ratio are calculated. The results showed that diagnostic accuracy of APTmean was superior in distinguishing sub-classifications of gliomas than other parameters. We concluded that APT can be used in predicting sub-classification of gliomas based on WHO CNS5, providing more valuable supplementary information for early treatment guidance and surgery. |
| 381 | 16:45
|
High resolution CINE imaging of guided knee motion using golden-angle radial MRI and a novel knee loading device |
| Martin A Aleksiev1, Martin Krämer2, Nicholas M Brisson3, Marta B Maggioni1, Georg N Duda3, and Jürgen R Reichenbach1 | ||
1Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 3Julius Wolff Institute, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany |
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An MRI-safe device guiding knee motion/loading with a rotary encoder was used during MRI measurements of multiple knee flexion-extension cycles using radial gradient echo imaging with the golden-angle as a radial increment. Reproducibility of knee motion was investigated and anatomical CINE images were reconstructed for different knee angles by synchronizing the encoder data with the MRI data and selective gating, enabling evaluation of musculoskeletal conditions. |
| 382 | 16:57
|
Progress on the commissioning of the Iseult 11.7T whole-body MRI: first images |
| Jerome Allard1, Alexis Amadon2, Guy Aubert1, Jean Belorgey1, Christophe Berriaud1, Cédric Bonnelye2, Romain Boudoin1, Nicolas Boulant2, Thierry Boussuge1, Fawzi Boumezbeur2, Philippe Brédy1, Peter Dietz3, Guillaume Dilasser1, Yannick Drouen1, Olivier Dubois1, Sandrine Faict-Bastin1, Ignacio Gonzalez Insua3, Vincent Gras2, Quentin Guihard1, Patrice Guiho1, Jean-Christophe Guillard1, Vincent Jannot1, François-Paul Juster1, Felix Koeber3, Brice Koestel4, Denis Le Bihan2, René Leboeuf1, Cécile Lerman2, Frédéric Leprêtre2, Ange Lotodé1, François Nunio1, Lionel Quettier1, Hermann Landes5, Hervé Lannou1, Aurélien Massire4, Franck Mauconduit2, Frédéric Molinié1, Hubert Neyrial1, Cédric Péron1, Luc Renou4, Arnaud Roger1, Philippe Rouffiat4, Wolfram Ruth3, Thierry Schild1, Patrick Sieber3, Mathieu Santin6,7, Martin Schroeder3, Loris Scola1, Armand Sinanna1, Vadim Stepanov1, Mathieu Szmigiel1, Olivier Tellier1, Robert Touzery1, Pierre Védrine1, Alexandre Vignaud2, Christian Walter1, and Karsten Wiclow3 | ||
1University of Paris-Saclay, CEA, Irfu, Gif sur Yvette, France, 2University of Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif sur Yvette, France, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Siemens Healthcare SAS, Saint-Denis, France, 5Ensimtech, Buckenhof, Germany, 6Sorbonne University, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Paris, France, 7ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France |
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The Iseult project started in 2001 and is a collaborative effort involving CEA and the University of Freiburg in academics, Guerbet, Siemens Healthineers and Bruker Biospin as industrial partners. One central aspect of the project has been the design by CEA of a whole-body magnet of 11.7T field strength with a 90-cm wide bore. After nearly 20 years of research and development, prototyping, integration and tests, first images have been acquired with this unique MRI scanner. Some key validation results are presented here. |
| 383
|
17:09
|
First in-vivo 23Na human imaging at 10.5T using a combined 23Na-loop 1H-dipole transceiver array |
| Simon Schmidt1, Arcan Erturk1, Russell L Lagore1, Andrea Grant1, Armin Nagel2, Stefan Zbyn1, and Gregory J Metzger1 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany |
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Performing sodium and proton imaging in the same study can provide a wealth of unique multinuclear insights for the study of pathologies and their treatment. However, the coils to perform such studies in the human body are limited and none were validated for human use at 10.5T until now. While both nuclei can benefit from increased SNR at 10.5T sodium suffers from low SNR due to the lower gyromagnetic ratio and natural abundance in the human body compared to 1H. First in-vivo results are presented for a 10.5T sodium-proton torso array following a safety validation study determining safe operating limits. |
| 384
|
17:21
|
Combined 23Na and pTx-1H Imaging for Renal MRI at 7 Tesla |
| Christian R. Meixner1, Nico Egger1, Lena V. Gast1, Andreas K. Bitz2, Titus Lanz3, Ralph Kimmlingen4, Laurent Ruck1, Jürgen Herrler5, Michael Uder1, and Armin M. Nagel1,6 | ||
1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander- Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Faculty of Electrical Engineering and Information Technology, University of Applied Sciences, Aachen, Germany, 3Rapid Biomedical GmbH, Rimpar, Germany, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander- Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 6Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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In the human kidneys, the cortico-medullary sodium gradient plays an important role as it is essential for the concentration of urine and changes may indicate renal malfunction. However, quantitative 23Na MRI requires high-quality 1H MRI, since this facilitates co-registration and correction of partial volume effects, which is needed for body imaging in particular. We therefore show the feasibility of high-quality renal proton and sodium imaging using an 8Tx/16Rx 1H transceiver array that can be combined with a 23Na four-rung birdcage coil in a single setup. |
| 385
|
17:33
|
In-vivo 31P MRSI in healthy and malignant human pancreas at 7 Tesla |
| Leonard W.F. Seelen1,2, Lieke van den Wildenberg1, Ayhan Gursan1, Tijl A. van der Velden1, Mark Gosselink1, Martijn Froeling1, Wybe J.M. van der Kemp1, Firdaus A.A. Mohamed Hoesein3, Nadia Haj Mohammad4, I. Quintus Molenaar2, Hjalmar C. van Santvoort2, Dennis W.J. Klomp1, and Jeanine J. Prompers1 | ||
1Dept. of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Dept. of Surgery, UMC Utrecht Cancer Center and St Antonius Hospital Nieuwegein: Regional Academic Cancer Center Utrecht, Utrecht University, Utrecht, Netherlands, 3Dept. of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 4Dept. of Medical Oncology, UMC Utrecht Cancer Center, Regional Academic Cancer Center Utrecht, Utrecht University, Utrecht, Netherlands |
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Early response assessment for patients with pancreatic cancer receiving chemotherapy is limited. Detection of alterations in 31P metabolite levels during treatment could change this perspective. However, to date 31P MRS has not yet been demonstrated in the human pancreas in vivo. Here we show in-vivo 31P MRSI data in the pancreas of healthy subjects, using a 31P whole-body transmit coil in combination with a 16-channel receive array at 7T, and show moderate to good test-retest reliability. In addition, we demonstrate the feasibility of performing 31P MRSI in a patient with pancreatic cancer before and after chemotherapy. |
| 386
|
17:45
|
Low power free-breathing absolute B1+ mapping in the human body at 7T using magnetic resonance fingerprinting |
| Max Lutz1, Christoph Stefan Aigner1, Sebastian Dietrich1, Sebastian Flassbeck2,3, Constance G. F. Gatefait1, Christoph Kolbitsch1, and Sebastian Schmitter1,4,5 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, 2Dept. of Radiology, Center for Biomedical Imaging, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research, New York, NY, United States, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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At 7T, power restrictions are a major limitation to accurately map the absolute transmit magnetic field (B1+) in the body. To overcome this, we investigate an absolute B1+ mapping method with low RF power using magnetic resonance fingerprinting (MRF). Measurements are done in a phantom at 3T and in-vivo in the liver at 7T. Resulting maps are compared to the actual flip angle (AFI) method. The obtained results show good agreement between the two methods, while the MRF approach seems to perform better in regions of low B1+ amplitude. Motion robustness introduced by a radial acquisition scheme enables free-breathing measurements. |
| 387 | 17:57
|
Fast Subject-Specific Local SAR and B1+ Prediction for PTx at 7T using only an Initial Localizer Scan |
| Wyger Brink1, Marius Staring2, Rob Remis3, and Andrew Webb1 | ||
1C.J. Gorter Center for High Field MRI, 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 group, dept. of Microelectronics, Delft University of Technology, Delft, Netherlands |
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This work presents a method for local SAR and B1+ prediction using only a 9 seconds long localizer as input. The total procedure can be executed in less than 30 seconds for a birdcage setup and less than 45 seconds for an eight-channel PTx configuration, enabling seamless integration into the MR workflow. |
| 388
|
18:09
|
Image acceleration with an 8-channel local B0 coil array compatible with parallel imaging in a 9.4T human MR scanner |
| Rui Tian1, Alexander Loktyushin1, Kai Buckenmaier1, Theodor Steffen1, and Klaus Scheffler1,2 | ||
1High-Field MR center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany |
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A recent idea of spread spectrum MRI utilizes rapid modulations of localized magnetic fields to speed up image acquisitions. To push this concept further, we experimentally demonstrated 2D FLASH scans at 9.4T accelerated by 3-fold with modulation of a newly built 8-channel local B0 coil array, and 6-fold together with parallel imaging. Moreover, for FLASH and single shot spiral acquisitions, we designed and simulated another two modulation schemes for the B0 coil array to further investigate the advantages of independent control over each local coil for imaging acceleration. |
16:45
|
Tendon Structure Function | |
| Jennifer Zellers | ||
| Washington University, United States | ||
17:05
|
Strain Rates Along & Perpendicular to the Fiber are Heterogeneously Distributed Along the Length of Lower Leg Muscles During Dynamic Contractions | |
| Melissa Hooijmans | ||
| Amsterdam University Medical Center, Netherlands | ||
17:25
|
A MATLAB Toolbox for DTMRI-Based Muscle Structure-Function Analysis | |
| Bruce Damon | ||
| University of Illinois, United States | ||
17:45
|
Role of the Extracellular Matrix in Age-Associated Strength Loss: Combining Advanced Functional and Microstructure MRI with Biochemistry & Modeling | |
| Shantanu Sinha | ||
| University of California, San Diego, United States | ||
18:05
|
Live demos: Systems and Components |
16:45
|
Publishing Reproducible Research | |
| Peter Jezzard | ||
| University of Oxford, United Kingdom | ||
17:09
|
Perspectives on Reproducible Hardware-Based Research | |
| Andrew Webb | ||
| Leiden University Medical Center | ||
17:33
|
Funder Mandates for Reproducible and Open Research | |
| Karla Miller | ||
| University of Oxford, United Kingdom | ||
17:57
|
Educating Students Towards Reproducible Research | |
| Cassandra Gould Van Prag | ||
| Oxford, China | ||
18:21
|
Open Science: Perspective of a Researcher Who Codes | |
| Serena Bonaretti | ||
| Transparent MSK Research | ||
| 8:00 | Temperature & the Human Brain: Temperature Acquisition Strategies |
| Kagayaki Kuroda |
| 8:30 | Temperature & the Human Brain: Homeostasis, Dysregulation & Viability |
| Deqiang Qiu |
| 8:00 | Machine Learning for the Speed-Up of CMR |
| Thomas Küstner |
| 8:30 | Machine Learning for Enhanced Myocardial Tissue Characterization |
| Reza Nezafat |
| 8:00 | Evaluating Metastatic Ovarian Malignancy: Does MRI Provide Gains over CT? |
| Anju Sahdev |
| 8:30 | What Will Bring Low-Field MRI to Prostate Cancer Screening? |
| Masoom Haider |
| 8:00 | UTE/ZTE for Musculoskeletal Imaging: Technical Considerations |
| Jiang Du |
| 8:30 | UTE/ZTE for Musculoskeletal Imaging: Clinical Considerations |
| Christine Chung |
| 8:00 | Regulatory Aspects of Commercialization |
| Kyoko Fujimoto |
| 8:30 | Regulatory Clearance: One Company’s Path |
| Michael Poole |
| 8:00 | Rapid Musculoskeletal Imaging and Machine Learning: Acquisition, Reconstruction & Analysis |
| Akshay Chaudhari |
| 8:30 | Imaging Osteoarthritis: Now & Future for Image Acquisition & Reconstruction? |
| Hollis Potter |
| 8:00 | Promises, limitations, and challenges of MR spectroscopy at ultra-high field |
| Malgorzata Marjanska |
| 8:30 | Functional MRI at Low Magnetic Field Strength |
| Jacco de Zwart |
8:00
|
Learning the CONN Toolbox | |
| Sheeba Anteraper1 | ||
1Carle Foundation Hospital, Champaign, IL, United States |
8:30
|
FSLeyes plugin development | |
| Paul McCarthy1 | ||
1Wellcome Centre for Integrative Neuroimaging (WIN@FMRIB), United Kingdom |
9:15
|
Standalone Software for Reconstruction of MPF Maps Using the Single-Point Algorithm: Hands-on Training with Multi-Platform Data | |
| Vasily Yarnykh | ||
| University of Washington | ||
9:45
|
A Flexible MATLAB Framework for Evaluation & Optimization of MPF Acquisition & Reconstruction Algorithms | |
| Aleksey Samsonov | ||
| University of Wisconsin – Madison | ||
10:15
|
A Scanner to Publication Workflow for Magnetization Transfer Imaging Using qMRLab | |
| Nikola Stikov | ||
| Polytechnique Montreal, Canada | ||
10:45
|
Live demos: Systems and Components |
9:15
|
Footprints of the ISMRM in the MRI Path: The Project | |
| Fernando Calamante1, Stefano Mandija2 | ||
| 1, 2 | ||
9:15
|
1.5 Tesla in 1982 | |
| Paul Bottomley | ||
9:15
|
My (I)SMRM Moments | |
| Jurgen Henning | ||
9:15
|
Plus ça Change | |
| Graeme Bydder | ||
9:15
|
Some Things Change, Some Things Don’t: Working with the AMPC | |
| Margaret Hall-Craggs | ||
9:15
|
Reminiscences of My Early Days in MRI Leading Up to the Formation of the ISMRM | |
| Mark Haacke | ||
9:15
|
Building Community | |
| Roberta Kravitz | ||
9:15
|
EDI Needs All of Us | |
| Elizabeth Morris | ||
9:15
|
Open Discussion: Engaging the Audience |
9:15
|
Closing Remarks & Where Now? | |
| Fernando Calamante | ||
9:15
|
Networking with Speakers |
9:15
|
Value of MRF for Multicontrast: Neuroimaging Applications in Epilepsy | |
| Zhong Irene Wang1 | ||
1Cleveland Clinic, Cleveland, OH, United States |
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Magnetic resonance fingerprinting (MRF) is a novel quantitative MRI technique that enables the acquisition of multiparametric tissue property maps with high efficiency. In this talk, we will review principles of MRF and its advantages of generating multicontrast for brain imaging. We will review recent progress of using MRF for multicontrast normal brain atlases. We will also discuss applications of MRF on characterization of epileptic lesions and deep brain structures in patients with epilepsy. The talk will conclude with future direction on using the flexible framework of MRF to provide more contrasts for better depiction of pathologic processes. |
9:45
|
Value of Multicontrast Techniques (Neuro) | |
| Berkin Bilgic1 | ||
1MGH, Martinos Center for Biomedical Imaging, United States |
10:15
|
Value of Multicontrast in (Prostate) Cancer | |
| Shonit Punwani1 | ||
1University College London, United Kingdom |
10:45
|
Value of Multi-contrast in Clinical Practice | |
| Dafna Ben Bashat1,2 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2Sackler Faculty of Medicine& Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel |
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The approach of “personalized” MRI, using multi-contrast MRI protocol and advanced analyses methods, tailored to the patient and their conditions, seems promising and can improve diagnosis, follow-up, and prognosis. This approach is significantly needed especially with the introduction of novel treatments and therapies in the field of medicine, which led to the formation of new unique imaging challenges. In this talk I will explain and show this approach to enable individual assessment, in two different clinical scenarios, brain tumors and fetal MRI, and their implementation in our clinical site. |
9:15
|
Biological & Physiological Considerations in Preclinical Cancer Imaging | |
| Renuka Sriram1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
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The goal of this educational session is to provide an overview of the use of murine cancer models, the associated imaging protocols and its impact on biological and physiological processes. This will help the audience better understand the potentials and the shortcomings of the choices pertaining to in vivo tumor models for imaging studies of cancer development, progression and therapy. |
9:45
|
Diffusion MR in Cancer: From ADC to Sophisticated Biophysical Models | |
| Xiaoyu Jiang1 | ||
1Vanderbilt University Medical Center, United States |
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The cancer applications of DWI-derived ADC values are limited because ADC values are non-specific and have complicated relationships with pathological changes in biological tissues. Therefore, sophisticated biophysical tissue models have been developed for extracting the most salient underlying cellular properties which can be associated with specific pathological changes. This education talk first covers the basics of how to derive cellular properties from diffusion signals using pragmatic biophysical models, then provides example applications of how the DWI-derived cellular properties (notably, cell size) can improve the cancer treatment response assessment, and last discusses some technical considerations related to practical and clinical feasibility. |
10:15
|
Contrast-Enhanced MRI in Cancer: Is It a Biomarker or a Fad? | |
| Rong Zhou1 | ||
1University of Pennsylvania, United States |
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The lecture will provide a succinct overview of quantitative imaging biomarkers (QIB) derived from contrast-enhanced MRI, specifically DSC- and DCE-MRI and their applications in cancer. The technical and physiological aspects which impact the repeatability of these biomarkers as well as community efforts to reduce variations and enhance standardization via multicenter studies will be discussed. The goal of the lecture is to better inform and prepare the attendees through a broad yet detailed and unbiased review. |
10:45
|
Role of X-Nuclei in Understanding Cancer Metabolism & Physiology | |
| Pavithra Viswanath1 | ||
1University of California, San Francisco, United States |
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Advances in genomics have identified an array of clinically relevant mutations that drive tumor initiation and maintenance. There is an urgent need to utilize this genomic information to improve patient outcomes. Many oncogenes induce metabolic reprogramming, which is a hallmark of cancer, and this relationship provides the unparalleled opportunity to identify metabolic imaging biomarkers that enhance diagnosis and treatment response assessment for cancer patients. In this talk, I will discuss the use of X-nuclei imaging (hyperpolarized 13C-, 31P- and 2H-magnetic resonance spectroscopy) for monitoring oncogenic events in cancer and examine the ways in which these modalities can guide patient management. |
| 389
|
9:15
|
A 3T/7T multiparametric protocol to characterize amyotrophic lateral sclerosis cervical spinal cord: benefits of ultra-high field MR imaging? |
| Samira Mchinda1,2,3, Rémi Dintrich1,2, Arnaud Le Troter1,2, Pini Lauriane1,2, Shahram Attarian4, Annie Vershueren4, and Virginie Callot1,2,3 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, Marseille, France, 2APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France, Marseille, France, 3iLab-Spine International Associated Laboratory, Marseille-Montreal, France-Canada, Marseille, France, 4APHM, Hôpital Universitaire Timone, Reference Center for Neuromuscular Disorders and ALS, Marseille, France, Marseille, France |
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With comparable acquisition times between 3T and 7T, 7T quantitative protocol offers better resolution and many opportunities to study regional impairments, especially in anterior gray matter subregions. This preliminary study focused on ALS and age-matched healthy controls scanned at both 3T and 7T. With the current postprocessing, abnormalities were mostly detected on the lower part of the cord (GM atrophy, WM/GM T1 impairments). Future work will focus on longitudinal evolution and refined analysis to evaluate the sensitivity for prognostication and to determine individual topological evolution. |
| 390 | 9:27
|
Molecular MRI and PET Imaging Detect Biomarkers of Neuroinflammation in Contusion Injured Spinal Cord |
| Chaoqi Mu1, Jamie L Reed1, Mohammed Noor Tantawy1, Feng Wang1, Li Min Chen1, and John C Gore1 | ||
1Vanderbilt University Institute of Imaging Science & Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Spinal cord injury (SCI) severity/recovery are influenced by complex pathological mechanisms. We used CEST/NOE MR and TSPO PET imaging to evaluate longitudinal molecular changes associated with neuroinflammation in a lumbar contusion SCI rodent model. The NOE(-1.6 ppm) peak amplitude significantly decreased and the CEST(3.5 ppm) peak amplitude increased in SCI rats, 1-week post-injury. Similarly, we detected significant increase in the uptake of a TSPO-targeting PET radiotracer at the SCI epicenter. The CEST/NOE pools can be linked to neuroinflammatory activity associated with glutamate release. The results indicate that CEST/NOE MRI measurements provide complementary information to TSPO PET measurement in SCI. |
| 391 | 9:39
|
Spatiotemporal dynamics of anterograde and retrograde neurodegeneration following spinal cord injury |
| Simon Schading1, Gergely David1, Tim Max Emmenegger1, Cristian Achim1, Armin Curt1, and Patrick Freund1,2,3 | ||
1Spinal Cord Injury Center, Balgrist University Hospital, Zürich, Switzerland, 2Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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We tracked remote neurodegenerative changes in the cervical cord following spinal cord injury over 2 years using macrostructural readouts (cross-sectional area, left-right width, anterior-posterior width) derived from T1-weighted MPRAGE images. Thereby, we evaluated the dependency of the magnitude of atrophy on the distance to the lesion. Over time, differences in atrophy rates along the cervical cord rostral to the lesion gradually formed a lesion gradient. Using anterior-posterior width and left-right width as surrogates for investigating anterograde and retrograde degeneration separately, our results suggest that these two types exhibit different spatiotemporal dynamics. A lesion gradient was only observable for retrograde degeneration. |
| 392 | 9:51
|
Identifying diffusion model biomarkers for inflammation in human traumatic spinal cord injury |
| Sarah Rosemary Morris1,2,3, Taylor Swift-LaPointe2, Andrew Yung1,3,4, Valentin Prevost1,3,4, Shana George1, Andrew Bauman4, Piotr Kozlowski1,2,3,4, Farah Samadi1,5, Caron Fournier1,5, Lisa Parker6, Kevin Dong1, Femke Streijger1, Veronica Hirsch-Reinshagen1,5,6, G.R. Wayne Wayne Moore1,5,6, Brian K Kwon1,7, and Cornelia Laule1,2,3,5 | ||
1International Collaboration on Repair Discoveries (ICORD), Vancouver, BC, Canada, 2Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4Faculty of Medicine, UBC MRI Research Centre, Vancouver, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Vancouver General Hospital, Vancouver, BC, Canada, 7Orthopaedics, University of British Columbia, Vancouver, BC, Canada |
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We investigated the relationship between diffusion model biomarkers and inflammatory cells, as measured by HLA-DR and CD68 histological staining for activated microglia and macrophages, after human traumatic spinal cord injury. Fractional anisotropy decreases and radial and mean diffusivity increases were strongly correlated with the presence of activated microglia and macrophages. ActiveAx-derived intra-cellular volume fraction and axon density decreased while axon diameter increased. Fiber fraction from Diffusion Basis Spectrum Imaging decreased and while hindered fraction increased in the presence of inflammation. |
| 393 | 10:03
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Corpus callosum lesions are associated with worse cognitive performance in cerebral amyloid angiopathy |
| Whitney Freeze1, Maria Clara Zanon Zotin2,3, Ashley Scherlek2, Valentina Perosa2, Andrew Warren2, Louise van der Weerd1, Dorothee Schoemaker Marcotte2, Mitchell Horn2, Edip Gurol2, Elif Gokcal2, Brian Bacskai2, Anand Viswanathan2, Steven Greenberg2, Yael Reijmer4, and Susanne van Veluw1,2 | ||
1Leiden University Medical Center, Leiden, Netherlands, 2Massachusetts General Hospital, Boston, MA, United States, 3Ribeirão Preto medical School, São Paulo, Brazil, 4University Medical Center Utrecht, Utrecht, Netherlands |
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We assessed the contribution of small vessel disease lesions in the corpus callosum (CC) to vascular cognitive impairment in cerebral amyloid angiopathy (CAA). A total number of 21 CC lesions was found in 19/65 (29%) CAA patients. CC lesion presence was associated with reduced microstructural white matter integrity within the CC and in the whole brain white matter. Patients with CC lesions performed significantly worse on multiple cognitive domains compared to those without CC lesions after correcting for relevant covariates. Together, our findings suggest that CC lesions independently contribute to cognitive impairment through strategic microstructural disruption of white matter tracts. |
| 394 | 10:15
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Deep-learning-informed parameter estimation improves reliability of spinal cord diffusion MRI |
| Ting Gong1, Francesco Grussu2,3, Claudia AM Gandini Wheeler-Kingshott4,5,6, Daniel C Alexander1, and Hui Zhang1 | ||
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 3Queen Square MS Centre, Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 4NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy, 6Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy |
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The very low SNR in spinal cord diffusion MRI can make robust microstructure parameter estimation challenging. To address unreliable parameter estimations under such low SNR, we propose a deep-learning-informed maximum likelihood estimation (MLE) approach, where a deep-learning model is trained to initialise MLE efficiently and optimally. In testing NODDI-derived parameters, simulation and in vivo experiments suggest the DL-informed method can reduce outlier estimates from conventional grid-search MLE, and at the same time, avoid biases from pure DL estimation under the low SNR. The proposed method also speeds up the computation, making it a promising tool for future applications. |
| 395 | 10:27
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Measuring Spinal Cord Blood Flow with Multi-delay pseudo Continuous Arterial Spinal Labeling (pCASL) |
| Qinyang Shou1, Xingfeng Shao1, and Danny JJ Wang1 | ||
1Laboratory of Functional MRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States |
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The purpose of this study was to measure the spinal cord blood flow using high-resolution multi-delay pCASL. An optimized background suppression scheme was applied to suppress the cerebrospinal fluid signal. In-vivo study was performed on 5 healthy subjects. The results show stable cervical spinal cord (C1-C3) blood flow values within the spinal cord ROI, supporting the potential for further development and evaluation studies on noninvasive MRI of spinal cord perfusion. |
| 396 | 10:39
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Neptune: a toolbox for spinal cord functional MRI data processing and quality assurance |
| D Rangaprakash1 and Robert L Barry1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2Harvard-Massachusetts Institute of Technology Division of Health Sciences & Technology, Cambridge, MA, United States |
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Spinal cord fMRI data analysis involves niche pre- and post-processing steps due to the cord’s unique anatomy and higher distortions/physiological noise in fMRI data, requiring extensive and careful quality control (QC). However, there is paucity of open-source tools tailored to this need. Building upon 10 years of research and development, we present Neptune, a user-interface-based MATLAB toolbox. It can perform an array of tailored pre- and post-processing steps, including functional connectivity and statistics. It generates extensive QC plots and presents them to view in an elegant webpage format. We demonstrate the utility of Neptune on a 7T dataset. |
| 397 | 9:15
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Sub-0.1 microliter CBV fMRI on the Next Generation 7T scanner |
| David A Feinberg1,2,3, Salvatore Torrisi1,2, Alexander JS Beckett1,2, Rüdiger Stirnberg4, Tony Stöcker4, Philipp Ehses4, and Renzo Huber3 | ||
1Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 4German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany |
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Laminar-specific fMRI with CBV-sensitive VASO can address neuroscience research questions on directional information processing within and across brain areas. However, conventional 0.8mm resolutions cannot Nyquist sample the individual layer-groups of interest (e.g. Layers II/III from layer IVc in V1). Here we implement, evaluate, and apply a 0.39-0.45mm (iso.) VASO protocol on the NextGen 7T scanner to resolve layer-features that could not be resolved in humans before. We find that 0.45 mm protocols are possible if the sequence parameters of EPI-segmentation and GRAPPA acceleration are differently optimized than one would do for conventional fMRI protocols. |
| 398 | 9:27
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Evaluating the capabilities and challenges of layer-fMRI VASO at 3T |
| Renzo Huber1, Lisa Kronbichler2, Rüdiger Stirnberg3, Luca Vizioli4, Philipp Ehses3, Tony Stöcker3, Sara Fernández-Cabello5, Benedikt A Poser1, and Martin Kronbichler6,7 | ||
1FPN, Uni Maastricht, Maastricht, Netherlands, 2Department of Psychiatry, Psychotherapy and Psychosomatics, Christian‐Doppler Medical Centre, PMU, Salzburg, Austria, 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 4Department of Radiology, University of Minnesota, Center for Magnetic Resonance Research, Minneapolis, MN, United States, 5Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Uni Oslo, Oslo, Norway, 6Neuroscience Institute, Christian Doppler Medical Centre, PMU, Salzburg, Austria, 7Centre for Cognitive Neuroscience & Department of Psychology, University of Salzburg, Salzburg, Austria |
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Sub-millimeter functional imaging at ultra high field (UHF) strengths can capture cortical layer-specific functional information flow within and across brain systems. However, UHF scanners are only available to appr. 100 privileged imaging centers, globally. In this work, we implement, characterise and apply a CBV-sensitive VASO sequence setup for widely accessible 3T scanners. We find that the longer T2*, and shorter T1 relaxation times at 3T can account for some of the lower z-magnetization in the inversion-recovery VASO sequence compared to 7T and 9.4T. We conclude that layer-fMRI VASO is applicable without too much further ado at 3T. |
| 399 | 9:39
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Deep Learning Methods for Reversible Cerebral Vasoconstriction Syndrome Classification Based on Resting-state fMRI Images |
| Tun-Wei Hsu1,2,3, Chia-Hung Wu1,4,5, Hsiu-Mei Wu1,4, Kuan-Lin Lai4,6,7, Shih-Pin Chen4,6,7,8, Shuu-Jiun Wang4,6,7, Jiing-Feng Liring1,4, and Wan-Yuo Guo1,4 | ||
1Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, 2Integrated PET/MR Imaging Center, Taipei Veterans General Hospital, Taipei, Taiwan, 3Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming Chiao Tung University, Taipei, Taiwan, 4School of Medicine, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan, 5Institute of Clinical Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan, 6Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 7Brain Research Center, National Yang-Ming Chiao Tung University, Taipei, Taiwan, 8Division of Translational Research, Taipei Veterans General Hospital, Taipei, Taiwan |
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Reversible cerebral vasoconstriction syndrome (RCVS) is a reversible segmental and multifocal vasoconstriction of the cerebral arteries and is believed to relate to autonomic network over-activity. We used Long Short-Term Memory networks (LSTMs), a type of deep neural network designed to handle time sequence data, to learn directly from the rs-fMRI time-series for classification of individuals with RCVS and healthy controls based on the regions in autonomic and other functional networks. These results provide methodological implications for rs-fMRI data of RCVS patients involved in the analysis and are a key element in future studies. |
| 400
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9:51
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Molecular-enriched functional connectivity in the human brain using multi-band multi-echo simultaneous ASL/BOLD fMRI |
| Ottavia Dipasquale1, Alexander Cohen2, Daniel Martins1, Fernando Zelaya1, Federico Turkheimer1, Mattia Veronese1, Steve Williams1, Baolian Yang3, Suchandrima Banarjee4, and Yang Wang2 | ||
1Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 2Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3GE Healthcare, Waukesha, WI, United States, 4GE Healthcare, Menlo Park, CA, United States |
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This work is a proof of concept for the integration of ASL fMRI and molecular imaging using REACT, a novel analytical strategy that enriches functional data with the molecular information on the neurotransmitter distribution density. We applied REACT to high-resolution, whole-brain simultaneous ASL/BOLD data to estimate BOLD- and perfusion-weighted (PW)-based functional connectivity maps related to specific molecular systems and compared the results from the two fMRI modalities, showing very similar patterns of molecular-enriched functional connectivity. Our findings show that the PW signal is as informative as BOLD in terms of detection of functional circuits associated to specific molecular pathways. |
| 401
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10:03
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Resting state fluctuations in BOLD fMRI might not systematically reflect measures of cerebrovascular physiology between or within subjects |
| Stefano Moia1, Gang Chen2, Eneko Uruñuela1, Rachael C. Stickland3, Maite Termenon1, César Caballero-Gaudes1, and Molly G. Bright3,4 | ||
1Basque Center on Cognition, Brain and Language, Donostia, Spain, 2NIMH/NIH/HHS, Bethesda, MD, United States, 3Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 4Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States |
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Resting State Fluctuations (RSF) metrics are frequently associated with vascular and physiological factors, to the point of being suggested as alternative estimates of cerebrovascular reactivity (CVR) and as tools for fMRI data calibration. Using a densely sampled fMRI dataset, we demonstrate high individual variability in the inter-session relationships between RSF metrics and CVR. Moreover, while physiological factors such as blood pressure show a significant relationship with CVR, they do not with common RSF metrics. These results indicate that RSF parameters might not be suitable alternatives for CVR, and may not properly account for inter-individual physiological variations in BOLD fMRI data. |
| 402 | 10:15
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Exploring Brain Connectivity in Ageing Using Explainable Deep Learning |
| Tamar van Asch1, Nathan De Jong1, Walter Backes1, Sebastian Köhler 2, Martin van Boxtel2, Miranda Schram3, and Jacobus Jansen1 | ||
1Radiology, Maastricht University Medical Center, Maastricht, Netherlands, 2Psychiatrie & Neuropsychologie, School for Mental Health and Neuroscience, Maastricht, Netherlands, 3Internal Medicine, Maastricht University, Maastricht, Netherlands |
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There is a growing need for the understanding of the process of ageing and the ability to predict who is at risk of neurodegenerative diseases and mortality. This study aims to develop and train a convolutional neural network on structural brain connectivity data to predict age. dMRI is used to map the structural connectivity of the brain. The dataset comprises 3494 subjects from The Maastricht Study, a cohort study of individuals aged between 40 and 77 years. Brain age prediction on the test set resulted in a Pearson’s correlation coefficient of 0.70 and a mean absolute error of 5.1 years. |
| 403 | 10:27
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Title Fractal Analysis of the BOLD Signal in Preterm Infants Scanned Shortly After Birth and at Term-Equivalent Age |
| Alexander Mark Weber1,2, Johann Drayne1,2, Olivia Campbell1,2, Cecil Chau2,3, Steven Miller4, and Ruth Grunau2,3 | ||
1Brain, Behaviour & Development, BC Children's Hospital Research Institute, Vancouver, BC, Canada, 2University of British Columbia, Vancouver, BC, Canada, 3BC Children's Hospital Research Institute, Vancouver, BC, Canada, 4Division of Neurology and Centre for Brain & Mental Health, SickKids, Toronto, ON, Canada |
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It has been found that fractal analysis of the BOLD signal in fMRI can be used to measure brain functioning, development, and health. There has to our knowledge, however, not been any fractal analysis fMRI studies done in newborns. By computing the mean Hurst exponent in 9 resting state networks and in a grey matter mask. We found the largest increase in the Hurst exponent between pre-term and term equivalent aged subjects was in the motor and visual network. This motivates the need of further exploration of fractal analysis as a measure of brain dynamics in pre-term infants. |
| 404
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10:39
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Concurrent laminar CBF, CBV, T2-BOLD and CMRO2 fMRI at 7T in human primary motor cortex |
| Xingfeng Shao1, Jun Hua2, and Danny JJ Wang1 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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In this study, we propose a novel pulse sequence to simultaneously acquire laminar ASL, VASO and T2-BOLD signals with high spatial resolution. Experiments were performed on the M1 to characterize concurrent layer-dependent CBF, CBV, T2 BOLD and CMRO2 signal changes to sensory input and motor output. Both positive CBF/CBV/CMRO2 and negative VASO profiles show a clear ‘double-peak’ pattern, which is consistent with the hypothesis that FT engages neural activity of somatosensory input in the superficial layers and motor output in the deep layers. The BOLD response mainly peaked in superficial layers due to dominant contribution of pial veins. |
| 405 | 9:15
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Skeletal muscle acetylcarnitine during submaximal exercise and recovery: Interleaved 1H/31P MRS 7T pilot study |
| Radka Klepochová1,2, Fabian Niess2, Martin Meyerspeer3, Siegfried Trattnig2,4, Michael Krebs1, Alexandra Kautzky-Willer1, Michael Leutner1, and Martin Krššák1,2 | ||
1Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria, 2High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 3High-Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging (MOLIMA), Christian Doppler Laboratory, Vienna, Austria |
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The study aimed to explore the behavior of skeletal muscle acetylcarnitine and phosphocreatine during submaximal plantar flexion exercise using interleaved 1H/31P MRS at 7T. Acetylcarnitine decreased to steady state during the exercise, increased back to initial levels in early recovery period and started to decline during later phase of recovery. Studies including more volunteers and patients with broader range of metabolic conditions and physical fitness will be necessary for detailed quantitative analysis. |
| 406 | 9:27
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Exploratory study of relationships between [18F] Sodium fluoride PET metabolic bone measures and MRI bone porosity index in the tibial tuberosity |
| Marco Barbieri*1, Lauren Watkins*1, Bryan Haddock2, Garry E. Gold1,3, and Feliks Kogan1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark, 3Bioengineering, Stanford University, Stanford, CA, United States |
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Molecular information derived from dynamic [18F]NaF PET imaging holds promise to study bone remodeling in bone and joint disorders. The porosity index (PI), based on ultra-short echo-time (uTE) MRI, has been proposed to study bone porosity in clinically valuable acquisition times. We explored the association between bone metabolic and porosity information in the tibial tuberosity in a cohort of 10 subjects with knee OA using hybrid PET-MRI imaging. We found a moderate negative correlation between the metabolic bone remodeling (Ki) and the porosity index. These promising results may highlight a new tool to unveil unknown pathways in musculoskeletal disease pathophysiology. |
| 407 | 9:39
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Deep learning super-resolution of MR images of the distal tibia improves image quality and assessment of bone microstructure |
| Trevor Chan1,2, Nada Kamona1,2, Brian-Tinh Vu1,2, Felix Wehrli1,2, and Chamith Rajapakse1,2 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States |
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We apply a probabilistic deep learning model to perform image super-resolution on magnetic resonance (MR) images. Our results show that the model is capable of high performance in MR; we upsample low resolution images of the distal tibia to 2x initial spatial resolution–equivalent to capturing 4x fewer samples in K-space–with the goal of reconstructing details in the trabecular architecture. We validate our results by comparing trabecular bone microstructure metrics across high-resolution ground truth, model-reconstructed, and low-resolution input images. By drastically reducing scan time for high-resolution imaging, these methods have the potential to make MRI assessment of bone strength clinically viable. |
| 408 | 9:51
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Early Chemotherapeutic Response Evaluation In Ewing Sarcoma Using Diffusion Weighted MRI |
| Esha Baidya Kayal1, Jayendra Tiru Alampally2, Raju Sharma3, Sameer Bakhshi3, Amit Mehndiratta1,3, Rakesh Kumar3, Chandrashekhara SH3, Manisha Jana3, Ashu Seith Bhalla3, Mehar Chand Sharma3, Asit Ranjan Mridha3, Sreenivas Vishnubhatla3, and Devasenathipathy Kandasamy3 | ||
1Indian Institute of Technology Delhi, Delhi, India, 2Krishna Imaging & Diagnostics, Telengana, India, 3All India Institute of Medical Sciences Delhi, Delhi, India |
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The objective of this prospective study was to assess the role of diffusion weighted MRI for early evaluation of chemotherapy response in patients with Ewing sarcoma with RECIST 1.1 criteria correlation. Absolute apparent diffusion coefficient (ADC), normalized ADC (nADC) and tumor diameter at baseline and after 1st cycle of chemotherapy were assessed for early detection of chemotherapy response in 16 patients. Results showed, baseline nADC and after 1st chemotherapy cycle, relative percentage change (Δ%) in nADC & tumor-size were significant and observed to be useful markers of early chemotherapeutic response (AUC=0.700, 0.750, 0.938) in Ewing sarcoma. |
| 409 | 10:03
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Detection of a new resonance in human calf muscle in vivo at 7.0T using the down-field MRS |
| Ravi Prakash Reddy Nanga1, Mark Elliott1, Neil Wilson1, Sophia Swago2, Walter Witschey1, and Ravinder Reddy1 | ||
1Radiology, Center for Advance Metabolic Imaging in Precision Medicine, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States |
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We have detected a resonance that was not reported previously, with a chemical shift of ~9.7ppm occurring in down-field MRS (DFMRS) from the human calf muscle in vivo. Based on phantom data, we speculate that the contribution to this broad peak might be from nicotinamide riboside (NR) and nicotinamide mononucleotide (NMN). This is for the first time that this peak is observed and reported from the down-field spectra. It seems to be very specific to calf muscle and has not been identified from the down-field spectra of human brain in vivo, suggesting that it is a feature of muscle metabolism. |
| 410 | 10:15
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A Neural Network Application for Fast Simultaneous Muscle T2-Water and Fat Fraction Mapping from Multi-Spin-Echo Acquisitions |
| Marco Barbieri1, Melissa T. Hooijmans2, Garry E. Gold1,3, Feliks Kogan1, and Valentina Mazzoli1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands, 3Bioengineering, Stanford University, Stanford, CA, United States |
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Muscle T2 relaxometry can be used to monitor disease activity in neuromuscular disorders. Dictionary matching of multi-echo-spin-echo (MESE) data is the gold-standard method to estimate the T2 of the myocitic component (T2-water) because of its ability to correct for multiple confounding factors, but suffers from a high computational burden. This work proposes a neural network (NN) approach for fast muscle T2-water mapping with subject-specific T2-fat calibration to overcome computational limitations of the dictionary method. The method was validated in-vivo against the standard dictionary approach. The NN application outperformed the dictionary approach in computational resources (x140 faster) while retaining quantitative accuracy. |
| 411 | 10:27
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Deep Learning Reconstruction-Enabled 2D and 3D MR Neurography |
| Ek T. Tan1, Yan Wen2, Kang Wang2, Jake A. Fiore1, R. Marc Lebel2, Suryanarayanan Kaushik2, Maggie Fung2, and Darryl B. Sneag1 | ||
1Hospital for Special Surgery, New York, NY, United States, 2GE Healthcare, Chicago, IL, United States |
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Deep learning reconstruction (DLRecon) was applied to shorter acquisition 2D Dixon and 3D short-tau-inversion recovery (STIR) brachial plexus MR neurography (MRN) sequences and were compared both qualitatively and quantitatively to standard clinical sequences. DLRecon 2D and 3D images demonstrated similar quality to standard images. DLRecon may facilitate implementation of shorter MRN protocols, thereby helping streamline MRN’s incorporation into busy clinical practices and providing the option of acquiring additional imaging planes. |
| 412 | 10:39
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Effects of Aging and Muscle Degeneration on Metabolic Response to High-Intensity Muscle Contraction in Mice by Phosphorus-31 MRS |
| Kihwan Kim1, Yuran Zhu2, Yudu Li3, Zhi-Pei Liang 3,4, and Xin Yu2,5 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, cleveland, OH, United States, 3Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Beckman Institute for advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Case Center for Imaging Research, Case Western Reserve University, cleveland, OH, United States |
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In this study, 31P-MRS was employed to evaluate the effects of aging and muscle degeneration on metabolic response to stimulation-induced, high-intensity muscle contraction in two age groups of C57BL/6 and mdx mice, a mouse model of moderate muscular dystrophy. Significant, age-dependent differences in mitochondrial oxidative capacity and creatine kinase activity after muscle stimulation were observed between C57BL/6 and mdx mice, suggesting a positive metabolic response to muscle contraction that can be modulated by aging and muscle degeneration. |
| 413
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Pitch: 9:15 Poster: 9:17 Plasma 1
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Mapping the time course of cortical reorganization and the influence of visual experience during plasticity. |
| Joana Carvalho1, Francisca Fernandes2, and Noam Shemesh3 | ||
1Preclinical MRI Laboratory, Champalimaud Foundation, Lisbon, Portugal, 2Preclinical MRI Laroratory, Champalimaud Centre for the Unknown, Lisbon, Portugal, 3Champalimaud Centre for the Unknown, Lisbon, Portugal |
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During development, the organization of the brain’s underlying circuitry is shaped by sensory experience. However, how the adult brain reorganizes remains much less understood. Here, we performed a longitudinal BOLD-fMRI study assessing plasticity in the adult rat brain using a chronic visual deprivation model and a novel set-up for mapping detailed visual responses. We show that dark rearing (DR) boosts neural responses to visual stimuli but delays retinotopic and spatial frequency (SF) specialization in the visual pathway. Our findings suggest that DR shifts the stability/plasticity balance and that fMRI can map dynamic processes in the visual system. |
| 414 | Pitch: 9:17 Poster: 9:19 Plasma 2
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Mouse rsfMRI connectome fingerprinting recovers subject as well as genetically encoded Ca2+ indicator loci |
| Francesca Mandino1, Corey Horien2, Xilin Shen1, David O'Connor3, Xinxin Ge4, Peter Herman1, An Qu1, John Onofrey1,3,5, Michael C Crair6,7, Xenophon Papademetris1,3, Todd R Constable1,8, and Evelyn Lake1 | ||
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Interdepartmental Neuroscience Program, Yale University, New Haven, CT, United States, 3Biomedical Engineering, Yale University, New Haven, CT, United States, 4Department of Physiology, UCSF, San Francisco, CA, United States, 5Urology, Yale University, New Haven, CT, United States, 6Kavli Institute for Neuroscience, Yale University, New Haven, CT, United States, 7Neuroscience, Yale University, New Haven, CT, United States, 8Neurosurgery, Yale University, New Haven, CT, United States |
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We find that the connectome, from resting-state functional magnetic resonance imaging data, can be used to identify (ID) individuals across species (humans and mice). This finding hints at the potential to use these data for individualized medicine and for translational research. To this end, we interrogate how ID rates differ across species, and how the manipulations we introduce into animal models – the use of clones and genetically encoded calcium indicators (GECI) – impact the connectome. We find species-specific ID rates differ, but only require small portions of the connectome, and that GECI loci can be recovered using this framework. |
| 415 | Pitch: 9:19 Poster: 9:21 Plasma 3
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Translational exploration of dynamic functional connectivity changes in Alzheimer’s disease patients and Thy-Tau22 mice at the prodromal stage |
| Laetitia Degiorgis1, Elena Chabran1, Marion Sourty1, Frédéric Blanc1,2, and Laura-Adela Harsan1,3 | ||
1ICube Laboratory UMR 7357, Strasbourg University and CNRS, Strasbourg, France, 2Centre Mémoire de Ressources et de Recherche (CM2R), Strasbourg University Hospitals, Neurology and Geriatrics units, Strasbourg, France, 3Department of Biophysics and Nuclear Medicine, Strasbourg University Hospitals, Strasbourg, France |
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Between-species comparisons become essential to validate findings from animal models. In case of Alzheimer’s disease (AD) especially important is to evaluate their predictive potential for the sporadic form and to assess their relevance for the early stages of pathology. Therefore, we used dynamic resting-state functional connectivity to investigate and comparatively assess changes in early AD patients and prodromal Thy-Tau22 mice, a mouse model of tauopathy. We highlighted between-species similarities showing less dynamic communication of brain areas in diseased groups than in controls, and comparable modifications of memory and default mode-like networks in early AD and prodromal Thy-Tau22 mice. |
| 416 | Pitch: 9:23 Poster: 9:25 Plasma 4
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Insights into Communicating Congenital Hydrocephalus on Neurodevelopment in a Mouse Model of Ciliopathy |
| Yijen L Wu1, Margaret Caroline Stapleton1, Ashok Panigrahy2, and Cecilia Lo1 | ||
1Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States, 2Radiology, Children's Hospital of Pittsburgh, Pittsburgh, PA, United States |
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Mice homozygous to the partial loss-of-function Dnah5 allele, a component in the ependymal motile cilia, developed congenital hydrocephalus. Volumetric analysis showed enlarged aqueduct, indicating that the hydrocephalus was not caused by collapsed aqueduct, but rather by altered cerebrospinal fluid homeostasis. Furthermore, specific brain regions displayed dysplasia, including hippocampus, olfactory bulb and cerebellum. Diffusion tractography followed by topology analysis showed altered neuronal network organization in these brain areas. Our study suggests that ependymal cilia may play a crucial role in grey matter and white matter development and neuronal network organization. |
| 417 | Pitch: 9:25 Poster: 9:27 Plasma 5
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Longitudinal simultaneous cortex wide Ca2+ imaging and whole brain functional magnetic resonance imaging in awake mice across the lifespan |
| Francesca Mandino1, Xilin Shen1, David O'Connor2, Bandhan Mukherjee3, Kristin DeLuca3, Ashley Owens3, An Qu1, John Onofrey1,2,4, Xenophon Papademetris1,2, Stephen M. Strittmatter5, and Evelyn Lake1 | ||
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Biomedical Engineering, Yale University, New Haven, CT, United States, 3Neurology and Neuroscience,, Yale University, New Haven, CT, United States, 4Urology, Yale University, New Haven, CT, United States, 5Neurology and Neuroscience, Yale University, New Haven, CT, United States |
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There is a clear need for imaging protocols in awake animals. Yet, there are only a few approaches in mice, despite their usefulness as translational research subjects. We introduce the first protocol for longitudinal simultaneous fMRI and Ca2+ imaging in awake mice. The same animals are imaged four times (from 4 to 12 months of age) – twice under anesthesia, and twice awake. Our framework includes two acclimation protocols: an initial intensive training followed by a ‘refresher' course. We find a marked improvement in motion between the two awake sessions. Implications for future dual-imaging experiments in awake mice are considered. |
| 418 | Pitch: 9:27 Poster: 9:29 Plasma 6
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Whole brain mapping of transcranial electrical stimulation-induced effects by BOLD-fMRI in rats |
| Mihaly Voroslakos1, Tanzil Mahmud Arefin2, Jiangyang Zhang2, Leeor Alon2, and Gyorgy Buzsaki1 | ||
1Neuroscience Institute, NYU Langone Health, New York, NY, United States, 2Department of Radiology, NYU School of Medicine, New York, NY, United States |
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Transcranial Electrical Stimulation (TES) is a noninvasive method that can modulate neuronal activity. Despite 20 years of intensive research, the basic mechanisms, and the extent of TES influence on brain functions is still not well understood. To gain a better understanding of the TES effects, we combined neurostimulation with BOLD-fMRI in rats. We have designed an MR-compatible TES setup, including a deuterium-based stimulation electrode system. Our results revealed BOLD responses to TES and altered cortical and cortico-subcortical network responses induced by a variety of stimulation patterns and intensities. |
| 419 | Pitch: 9:29 Poster: 9:31 Plasma 7
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Impaired brain perfusion and cerebrovascular reactivity in the zQ175 mouse model of Huntington’s Disease, a longitudinal pCASL-MRI study |
| Tamara Vasilkovska 1,2, Verdi Vanreusel1, Somaie Salajeghe1, Johan van Audekerke1,2, Lydiane Hirschler3, Dorian Pustina4, Roger Cachope4, Haiying Tang4, Longbin Liu4, Celia Dominguez4, Ignacio Munoz-Sanjuan4, Annemie Van der Linden1,2, and Marleen Verhoye1,2 | ||
1Bio-Imaging Lab, University of Antwerp, Antwerp, Belgium, 2µNEURO Research Centre of Excellence, University of Antwerp, Antwerp, Belgium, 3C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands, 4CHDI Management/CHDI Foundation, Princeton, NJ, United States |
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Abnormal cerebral vasculature and consequent diminished cerebrovascular function have been shown to play a role in Huntington’s Disease (HD). However, how these impairments reflect on cerebral blood flow (CBF) dynamics and vascular reactivity (CVR) have been poorly understood. Towards this, we performed a longitudinal study measuring CBF and CVR, using pCASL, in the zQ175 KI Huntington’s disease (HD) mouse model at pre-manifest (3/4.5 months), disease onset (6 months) and manifest (9 months) stage. Our results demonstrate decreased CBF under CO2 challenge at disease onset and decreased CVR in manifest HD stage in the zQ175 KI mice compared to age-matched controls. |
| 420 | Pitch: 9:31 Poster: 9:33 Plasma 8
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Impairments in cerebral blood flow and cerebrovascular reactivity in the APP23 mouse model of cerebral amyloidosis |
| Leon P Munting1, Mariel G Kozberg1, Lydiane Hirschler2, Jan M Warnking3, Emmanuel L Barbier3, Andre van der Kouwe4, Joseph B Mandeville4, Christian T Farrar4, Steven M Greenberg1, Brian J Bacskai1, and Susanne J van Veluw1 | ||
1Massachusetts General Hospital, BOSTON, MA, United States, 2Leiden University Medical Center, Leiden, Netherlands, 3Grenoble Institut des Neurosciences, Grenoble, France, 4Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States |
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Patients with cerebral amyloid angiopathy (CAA) have accumulations of amyloid-beta in the cerebral vasculature, which ultimately lead to stroke and dementia. MRI markers of CAA include microbleeds and reduced cerebrovascular reactivity (CVR). The APP23 mouse model with vascular amyloid-beta accumulation is known to have microbleeds and reduced cerebral blood flow (CBF). Here, using pseudo-Continuous Arterial Spin Labeling (pCASL)-MRI with a 10 % CO2 stimulation, we show that besides lower CBF, APP23 mice also have reduced CVR. Furthermore, in our data, a higher microbleed count was associated with lower CBF, but not with CVR. |
| 421 | Pitch: 9:33 Poster: 9:35 Plasma 9
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Differential information of perfusion and diffusion MRI following traumatic spinal cord injury in the rat. |
| Briana P Meyer1, Seung-Yi Lee1, and Matthew D Budde2 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States |
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Spinal cord tissue perfusion plays a central role in the acute care of spinal cord injury (SCI). We previously optimized pseudo-continuous arterial spin labeling (pCASL) MRI for the rat spinal cord. This work represents the first longitudinal study combining pCASL and filtered diffusion weighted MRI to examine the relationship between spinal cord blood flow and filtered axial diffusivity following a rat model of SCI. This work reveals unique and differing spatiotemporal dynamics between the two contrasts. |
| 422 | Pitch: 9:35 Poster: 9:37 Plasma 10
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Evidence of a cortical hypoperfusion spreading following local ultrasound Blood Brain Barrier opening in the rat brain. |
| Wafae Labriji1, Julien Clauzel1, Carla Cirillo1, Maxime Lafond2, Cyril Lafon2, Lydiane Hirschler3, Jan Warnking3, Emmanuel L. Barbier3, Isabelle Loubinoux1, and Franck Desmoulin1,4 | ||
1ToNIC, Toulouse NeuroImaging Center (UMR 1214 - Inserm / UPS), Toulouse, France, 2LabTAU, Inserm, Centre Léon Bérard, Université Lyon 1, Lyon, France, 3GIN, Grenoble Institut des Neurosciences, Inserm, Université Grenoble Alpes, Grenoble, France, 4CREFRE, Inserm, Université Toulouse III Paul Sabatier, ENVT, Toulouse, France |
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The use of ultrasound combined with microbubbles to open the blood-brain barrier is an increasingly common method in clinical and preclinical research. This work describes the effect of this BBB opening method on brain perfusion in rats, using pCASL sequence. Surprisingly, through a dynamic analysis, we observed a long time hypoperfusion spreading in the brain cortex following sonication. A similar phenomenon has been described in studies where cortical spreading depression (CSD) has been induced. |
| 423 | Pitch: 9:37 Poster: 9:39 Plasma 11
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Towards an ultra-high resolution structural connectivity atlas of the parrot brain using extreme high-field 17.2T diffusion MRI |
| Ivy Uszynski1, Luisa Ciobanu1, Solène Bardin1, Pierre Estienne2, Kei Yamamoto2, and Cyril Poupon1 | ||
1BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, France, 2Neuro-PSI, Université Paris-Saclay, CNRS UMR 9197, Saclay, France |
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The cognitive abilities of parrots are known to be highly developed to the extent of matching those exhibited by crows and primates. However, little is known about the anatomy and structural connectivity of the parrot’s brain. In this work, we propose to use the power of diffusion MRI along with the strong gradients of a unique 17.2T preclinical MRI system to deliver a first white matter atlas of the parrot brain. |
| 424 | Pitch: 9:39 Poster: 9:41 Plasma 12
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Laminar Myeloarchitectonic Mapping using T1- and T2-weighted MRI in Macaque Monkeys |
| Joonas A. Autio1, Takayuki Ose1, Akiko Uematsu1, Takuro Ikeda1, Masahiro Ohno1, Yuki Masamoto1, Henry Kennedy2,3, David C. Van Essen4, Matthew F. Glasser4,5, and Takuya Hayashi1 | ||
1Center for Biosystems Dynamics Research, RIKEN, Kobe, Japan, 2Inserm, Stem Cell and Brain Research Institute, Lyon, France, 3State Key Laboratory of Neuroscience, Institute of Neuroscience, Shanghai, China, 4Department of Neuroscience, Washington University School of Medicine, St Louis, MO, United States, 5Department of Neuroscience, Washington University School of Medicine, St Louis, MT, United States |
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Classically, many cortical areas have been defined by their distinctive myeloarchitectonic laminar profiles. Here, we explore laminar transitions by adjusting the structural MRI resolution according to the average width of standard six cortical layers and by attenuating Gibbs’ ringing artefact using T1w/T2w-FLAIR ratio in anesthetized macaque monkeys. We demonstrate that laminar similarity measures, together with the ‘Human Connectome Project’-style midthickness weighted gradients, reveal sharp transitions between several cortical areas in heavily and lightly myelinated brain areas providing mutually supportive information of cortical organization. |
| 425 | 9:15
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ReImagining the Young Adult Human Connectome Project (HCP) Diffusion MRI Dataset |
| M. Okan Irfanoglu1, Ahmad Beyh2,3, Marco Catani2, Flavio Dell'Acqua2, and Carlo Pierpaoli1 | ||
1QMI, NIBIB/NIH, Bethesda, MD, United States, 2Natbrainlab, King's College London, London, United Kingdom, 3Laboratory of Neurobiology, Department of Cell and Developmental Biology, University College London, London, United Kingdom |
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The Human Connectome Project (HCP) has brought significant advancements in hardware, acquisition, and preprocessing. Even after a decade since its collection, the HCP diffusion MRI data is still relevant for its richness and high resolution. Noise and geometric distortions, however, are particularly pronounced in this dataset. In this work, we have reprocessed nearly the entire HCP dMRI dataset while applying several recent processing improvements. We compared the quality of the newly processed dMRI outputs to the release version. We observed clearly detectable improvements. The data originated from this new processing will be made publicly available. |
| 426 | 9:27
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A coil-based approach to accelerate the FLIP spatial lipid removal algorithm in 3D EPSI. |
| Peter Adany1, In-Young Choi1,2,3,4, and Phil Lee1,3,4 | ||
1Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States, 3Department of Radiology, University of Kansas Medical Center, Kansas City, KS, United States, 4Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States |
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We have recently developed the spatial domain, Fast LIpid signal Processing (FLIP) algorithm to remove subcutaneous lipid signals in MRSI. Practical application of FLIP to 3D EPSI was challenging due to the need for long processing times. We present an updated algorithm, named FLIP-COIL, which significantly reduces the processing times utilizing receive coil senstivity profiles. Algorithms including FLIP, FLIP-COIL, as well as PGA, HSVD and L2 are compared in 3D EPSI of ten subjects. This study demostrates that the FLIP-COIL approach can drastically reduce processing time with favorable performance of lipid removal in 3D EPSI over existing other algorithms. |
| 427 | 9:39
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Correction of diffusion pore imaging (DPI) data in the presence of extraporal water and transmembrane water exchange |
| Dominik Ludwig1,2, Frederik B. Laun3, Karel D. Klika4, Julian Rauch1,2, Mark E. Ladd1,2,5, Peter Bachert1,2, and Tristan A. Kuder1 | ||
1Deparment 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, 4Molecular Structure Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Faculty of Medicine, Heidelberg University, Heidelberg, Germany |
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Diffusion pore imaging might open a new window into pathologies by providing histology-like information non-invasively by estimating pore size and shape distributions. For current pore imaging approaches, closed pores filled with an NMR visible diffusing medium are assumed, while extraporal components and exchange are neglected, which limits applicability. We propose a method based on Gaussian phase approximation to suppress effects of extraporal fluids and transmembrane water exchange and compare the approach to a filter-based method. Thus, one main obstacle for in vivo applications is reduced, the required high gradient amplitudes may be obtained using local gradient coils in the future. |
| 428 | 9:51
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Deformable Registration of Serial Micrographs to Post-Mortem MRI in the BigMac Dataset Using TIRL |
| Istvan N Huszar1, Adele Smart1, Saad Jbabdi1, Mark Jenkinson1, Amy FD Howard1, and Karla L Miller1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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The BigMac dataset combines extensive post-mortem MRI with histology and polarised light imaging (PLI) in a macaque brain. Adding a new extension to our recently developed platform, the Tensor Image Registration Library (TIRL), we address unique challenges associated with this dataset and successfully align 77 2-D polarised light micrographs to high-resolution structural MRI data. |
| 429 | 10:03
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Improving myelin water mapping using a new data-driven paradigm for multicomponent analysis of T2 relaxation times |
| Noam Omer1, Neta Stern1, Tamar Blumenfeld-Katzir1, Chen Solomon1, Meirav Galun2, and Noam Ben-Eliezer1,3,4 | ||
1Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States |
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The common approach to myelin mapping relies on multi-T2 component (mcT2) analysis, where the signal from a single voxel is separated into its underlying distribution of T2 values. This approach is highly challenging due to the ill posedness of extracting multiple free parameters from a single voxel data. We present a new data-driven paradigm, where the white matter is first analyzed to identify a finite set of multi-T2 distributions, which are then used to locally analyze the signal in each voxel. Application on white matter tissue produced improved myelin quantifications, without a priory fixing the number of sub-voxel compartments. |
| 430
|
10:15
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Complex fitting of 1H-MR spectra improves quantification precision independent of SNR and noise correlation |
| Leonardo Campos1, Kelley M. Swanberg1, Martin Gajdošík1, Karl Landheer1, and Christoph Juchem1,2 | ||
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Radiology, Columbia University, New York, NY, United States |
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Quantification of in vivo proton magnetic resonance spectra (1H-MRS) still commonly involves evaluation of exclusively the real part of acquired spectral signals, but ignoring the information contained in the imaginary component may limit precise identification of individual metabolite contributions. Here, we assess quantification precision relative to SNR and noise correlation for both real and complex linear combination model fits of simulated 1H-MRS spectra reflecting brain metabolite concentrations and T2. Extending our results to inclusion of measured in vivo baselines, we demonstrate consistent improvements in metabolite quantification precision and/or accuracy by complex relative to real fits. |
| 431 | 10:27
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Connectivity matrix from a fODF weighted graph: An alternative to probabilistic tractography |
| Michael Paquette1, Cornelius Eichner1, and Alfred Anwander1 | ||
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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We introduce a computationally efficient fODF-weighted graph structure where shortest-paths through white matter compute the probability of connection while naturally limiting the angle of propagation between steps. Connectivity matrices obtained from this structure maintain many properties of probabilistic streamline count connectomes while avoiding the sampling bias of tractography. |
| 432 | 10:39
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Fast inline reconstruction of T2 maps from dual echo spin echo images |
| Jeff Snyder1, Peter Seres1, Robert W Stobbe1, Justin G Grenier1, Penelope Smyth2, Gregg Blevins2, and Alan H Wilman1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada |
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A fast reconstruction method for PD-T2w T2 maps is presented and compared to the previous L2 norm minimization technique using Bland-Altman analysis in a five patient multiple sclerosis data set acquired at 3 T. The new (subtraction) technique was in excellent agreement with the L2 norm method (confidence intervals of -1.1 to +1.2 ms), with average single slice reconstruction times of 0.6 s compared to 134 s. The speed of T2 map production allowed accurate (based on sequence simulation via Bloch equations) inline T2 maps directly on the MRI console. |
| 433
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9:15
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Uncertainty-Aware Physics-Driven Deep Learning Network for Fat and R2* Quantification in Self-Gated Free-Breathing Stack-of-Radial MRI |
| Shu-Fu Shih1,2, Sevgi Gokce Kafali1,2, Kara L. Calkins3, and Holden H. Wu1,2 | ||
1Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 3Department of Pediatrics, University of California Los Angeles, Los Angeles, CA, United States |
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MRI noninvasively quantifies liver fat and iron in terms of proton-density fat fraction (PDFF) and R2*. While conventional Cartesian-based methods require breath-holding, recent self-gated free-breathing radial techniques have shown accurate and repeatable PDFF and R2* mapping. However, data oversampling or computationally expensive reconstruction is required to reduce radial undersampling artifacts due to self-gating. This work developed an uncertainty-aware physics-driven deep learning network (UP-Net) that accurately and rapidly quantifies PDFF and R2* using data from self-gated free-breathing stack-of-radial MRI. UP-Net used an MRI physics loss term to guide quantitative mapping, and also provided uncertainty estimation for each quantitative parameter. |
| 434 | 9:27
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Improving oxygenation quantification from streamlined qBOLD data using amortized variational inference |
| Ivor J. A. Simpson1, Ashley McManamon 1, Alan J Stone2, Nicholas P Blockley3, Alessandro Colasanti4, and Mara Cercignani5 | ||
1Department of Informatics, University of Sussex, Brighton, United Kingdom, 2Department of Medical Physics and Clinical Engineering, St. Vincent's University Hospital, Dublin, Ireland, 3School of Life Sciences, University of Nottingham, Nottingham, United Kingdom, 4Brighton and Sussex Medical School, Brighton, United Kingdom, 5CUBRIC, Cardiff University, Cardiff, United Kingdom |
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Streamlined qBOLD acquisitions enable experimentally straightforward observations of brain metabolism. High quality R2’ maps are easily derived; however, the oxygen extraction fraction (OEF) and deoxygenated blood volume (DBV) are more ambiguously defined from noisy data. Accordingly, standard approaches yield noisy and underestimated OEF maps and overestimate DBV. This work uses synthetic data to learn models for voxelwise prior distributions, which are subsequently leveraged in an amortized variational Bayesian inference model. We demonstrate our approach enables inference of smooth OEF and DBV maps, with a physiologically realistic distribution, and illustrate voxelwise differences in OEF between subjects at rest and undergoing hyperventilations. |
| 435 | 9:39
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Rapid Quantitative Imaging Using Wave-Encoded Model-Based Deep Learning for Joint Reconstruction |
| Jaejin Cho1,2, Borjan Gagoski2,3, Tae Hyung Kim1,2, Qiyuan Tian1,2, Robert Frost1,2, Itthi Chatnuntawech4, and Berkin Bilgic1,2,5 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 4National Nanotechnology Center, Pathum Thani, Thailand, 5Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States |
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We propose a wave-encoded model-based deep learning (wave-MoDL) method for joint multi-contrast image reconstruction with volumetric encoding using an interleaved look-locker acquisition sequence with T2 preparation pulse (3D-QALAS). Wave-MoDL enables a 2-minute acquisition at R=4x3-fold acceleration using a 32-channel array to provide T1, T2, and proton density maps at 1 mm isotropic resolution, from which standard contrast-weighted images can also be synthesized. |
| 436 | 9:51
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Retrospective Pharmacokinetic Quantification of Clinical Abdominal DCE-MRI using Deep Learning |
| Chaowei Wu1,2, Nan Wang3, Srinivas Gaddam4, Hui Han1, Stephen Pandol4, 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, University of California, Los Angeles, Los Angeles, CA, United States, 3Radiology Department, Stanford University, Stanford, CA, United States, 4Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Quantitative dynamic contrast-enhanced (DCE) MRI has the potential for early detection, accurate staging, and therapy monitoring of cancers. However, clinical abdominal DCE-MRI has limited temporal resolution and can only provide qualitative or semi-quantitative assessments of tissue vascularity. In this study, we investigated the feasibility of retrospective quantification of multi-phasic abdominal DCE-MRI by improving the temporal resolution via deep learning. Simulated multi-phasic DCE data was generated using 2-sec temporal-resolution Multitasking DCE images. Results show that DCE kinetic parameters retrospectively estimated by deep learning agree with the ground truth, and are capable of differentiating abnormal tissues. |
| 437 | 10:03
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Diffusion MRI data analysis using brain segmentation from anatomical images synthesized from diffusion data by deep learning (DeepAnat) |
| Ziyu Li1, Qiuyun Fan2,3, Berkin Bilgic2,3, Guangzhi Wang4, Jonathan R Polimeni2,3, Susie Y Huang2,3, and Qiyuan Tian2,3 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Department of Biomedical Engineering, Tsinghua University, Beijing, China |
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The analysis of diffusion MRI data requires brain segmentation from separate anatomical images, which may be unavailable or cannot be accurately co-registered to diffusion images due to image distortions in diffusion data. Two state-of-the-art convolutional neural networks, U-Net and generative adversarial network (GAN), are employed to synthesize high-quality, distortion-matched T1w images directly from diffusion data, suitable for generating accurate cerebral cortical surfaces and volumetric segmentation for surface-based analysis of DTI metrics and tractography. The accuracy is quantitatively evaluated, and the systematical comparison shows that GAN-synthesized images are more visually appealing while U-Net-synthesized images achieve higher data consistency and segmentation accuracy. |
| 438 | 10:15
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Direct parameter estimation of white matter model from DKI maps using recurrent neural network |
| Yujian Diao1,2,3 and Ileana Ozana Jelescu2,4 | ||
1Laboratory of Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland |
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WMTI-Watson is a widely used biophysical model that estimates microstructure parameters from the diffusion and kurtosis tensors. Here we propose a deep learning (DL) approach based on the recurrent neural network (RNN) to increase the robustness and accelerate the parameter estimation. The RNN solver achieved high accuracy, had good generality and was extremely fast in computation. The proposed DL approach is highly promising to replace the conventional nonlinear least-squares optimization in parameter estimation of WMTI-Watson model and thus estimate WM parameters from any DKI maps. |
| 439
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Pitch: 9:15 Poster: 9:17 Plasma 16
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Anisotropic Mechanical Properties of White Matter Tracts in Aging via Transversely Isotropic MR Elastography |
| Diego A Caban-Rivera1, Daniel R Smith1, Matthew DJ McGarry2, L. Tyler Williams1, Grace McIlvain1, Elijah EW Van Houten3, Keith D Paulsen2, Phil V Bayly4, and Curtis L Johnson1 | ||
1University of Delaware, Newark, DE, United States, 2Dartmouth College, Hanover, NH, United States, 3Université de Sherbrooke, Sherbrooke, QC, Canada, 4Washington University in St. Louis, St. Louis, MO, United States |
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This study combined multi-excitation MR Elastography (ME-MRE) with a transversely isotropic inversion nonlinear inversion algorithm and diffusion tensor imaging (DTI) fiber directions to investigate anisotropic white matter tract integrity in aging. Participants were 5 older adults and 17 young adults. MRE outcomes include substrate shear modulus, μ, shear anisotropy, φ, tensile anisotropy, ζ, and DTI measures were also examined. Shear and tensile anisotropies were significantly different in the Corona Radiata and Superior Longitudinal Fasciculus. Diffusion measures were significantly different between groups in most tracts. These results suggest sensitivity of anisotropic properties to biological changes along white matter tracts in aging. |
| 440 | Pitch: 9:17 Poster: 9:19 Plasma 17
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MR Elastography of the Frontal Cortex: Impact of Aging and Regional Differences |
| Kyra E. Twohy1, Peyton L. Delgorio2, Alexa M. Diano2, Mary K. Kramer2, Alexis M. Merritt2, Grace McIlvain2, Lucy V. Hiscox3, and Curtis L. Johnson2 | ||
1Mechanical Engineering, University of Delaware, Newark, DE, United States, 2Biomedical Engineering, University of Delaware, Newark, DE, United States, 3Psychology, University of Bath, Bath, United Kingdom |
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This study tested the utility of high-resolution magnetic resonance elastography (MRE) to analyze frontal cortex degradation due to advancing age. Brain tissue stiffness significantly varied in frontal cortex regions and frontal cortex stiffness also significantly decreased with age. A significant interaction between age and region was found, indicating regions changed differently with age. The stiffness of all frontal cortex regions degraded more per year than reported whole frontal lobe stiffness loss, indicating greater loss in the cortex with age. This approach brings potentially increased sensitivity and specificity to the structure-function relationship found in the frontal cortex with age. |
| 441
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Pitch: 9:19 Poster: 9:21 Plasma 18
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Performance of Proton Density Fat Fraction, MRE-based Liver Stiffness, and T1 in Identifying NASH Patients at High Risk of Disease Progression |
| Jiahui Li1, Xin Lu1, Zheng Zhu1, Kyle J. Kalutkiewicz1, Taofic Mounajjed2, Yi Sui1, Kevin J. Glaser1, Safa Hoodeshenas1, Sudhakar K. Venkatesh1, Armando Manduca1, Vijay H. Shah3, Richard L. Ehman1, Alina M Allen3, and Meng Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Anatomic Pathology, Mayo Clinic, Rochester, MN, United States, 3Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States |
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Multiparametric MRI/MRE and liver biopsy were performed in 104 patients at risk for NASH. We correlated measurements of proton density fat fraction (PDFF), 3D vector MRE-assessed liver stiffness (LS), and T1 relaxation time across histological features of NASH. We found that PDFF showed superior diagnostic performance in identifying patients with NASH (AUC: 0.84 [0.76, 0.92]), while LS showed superior diagnostic performance in stratifying NASH patients at high risk (0.85 [0.75, 0.94]). The results showed that T1 measurement, either alone or in combination with other biomarkers, did not perform as well as PDFF and LS in diagnosing NASH or stratifying high-risk NASH. |
| 442 | Pitch: 9:21 Poster: 9:23 Plasma 19
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Estimation of anisotropic mechanical properties of gastrocnemius during muscle contraction with MR elastography |
| Daniel R. Smith1, Diego A. Caban-Rivera1, L. Tyler Williams1, Matthew McGarry2, Elijah Van Houten3, Phil V. Bayly4, Keith Paulsen2, and Curtis L. Johnson1 | ||
1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Thayer School of Engineering, Dartmouth College, Hanover, NH, United States, 3Universite de Sherbrooke, Sherbrooke, QC, Canada, 4Mechanical Engineering and Materials Science, Washington University in St. Lous, St. Louis, MO, United States |
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In this study, we utilized MR elastography (MRE) and transversely isotropic inversion to estimate anisotropic material parameters of muscle during contraction states, including passive muscle lengthening and isometric contraction. We collected MRE and DTI data on six subjects and took averages of the parameters within the medial and lateral heads of the gastrocnemius muscle and compared the results during the contraction states. We found significant differences between the estimates during the various states of contraction. Here we demonstrate that MRE and TI-NLI can generate anisotropic parameter estimates for muscle tissue while capturing changes to functional aspects of the tissue. |
| 443 | Pitch: 9:23 Poster: 9:25 Plasma 20
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Gauging tumour pressure and vasculature organization via Magnetic Resonance Elastography to grade brain tumours. |
| Giacomo Annio1,2, Robin Bugge3, Siri Fløgstad Svensson3, Omar Darwish4, Giorgio Seano5, Donata Biernat6, Karoline Skogen6, Jon Ramm-Pettersen 7, David Nordsletten8, Einar Vik-Mo 7, Katharina Schregel9, Kyrre Eeg Emblem3, and Ralph Sinkus1 | ||
1LVTS - U1148, University Paris, Paris, France, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 4Department of Biomedical Engineering, King's College London, London, United Kingdom, 5U1021 INSERM, Institut Curie, Paris, France, 6Department of Radiology Ullevål, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 7Department of Neurosurgery, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway, 8Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States, 9Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany |
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Distinctive traits of malignant tumours are abnormal angiogenesis and high pressure. Conventional magnetic resonance imaging (MRI) plays a critical role in radiological evaluation of patients and tumour grading, but challenges remain. Pressure and vasculature have a strong impact on the tissue rheology and therefore they can be quantified by Magnetic Resonance Elastography (MRE). We show that MRE allows to quantify non-invasively tumour grade using pressure and tumour vasculature through wave scattering. We believe that MRE could play a central role in tumour grading and diagnosis as well as in therapy planning and dosage, especially in multidrug treatments scenarios. |
| 444 | Pitch: 9:25 Poster: 9:27 Plasma 21
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Correlation between pathophysiological functions of Glioma invasion and water dynamics by FFC-NMR in vivo |
| Maria Rosaria Ruggiero1, Hamza Aït Itto2, Simona Baroni1, Jean Boutonnat3, François Berger2, Lionel Marc Broche4, Silvio Aime1, Simonetta Geninatti1, and Hana Lahrech2 | ||
1University of Torino, Torino, Italy, 2BrainTech Lab INSERM U1205, Grenoble, France, 3CHU Grenoble, Grenoble, France, 4University of Aberdeen, Aberdeen, United Kingdom |
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R1-dispersion profiles of in vivo glioma mouse models acquired by Fast-Field-Cycling NMR (FFC-NMR) were found to discriminate invasion from proliferation at fields below 2mT. These differences were correlated to the transcytolemmal water-exchange, demonstrating the water cell influx/outflux role in relaxation mechanisms. Hypoxia and H2O2, two major pathophysiological processes of invasion, were demonstrated to modulate relaxation. Immunohistochemistry of aquaporins AQP1 and AQP4 showed that the water-channel proteins were overexpressed in invasion but not in proliferation, suggesting that relaxations at low-field are modulated by water-exchange under the AQP1 and AQP4 control. The method can be extended to FFC imaging. |
| 445 | Pitch: 9:27 Poster: 9:29 Plasma 22
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In-vivo Absolute Multinuclear Thermometry (AMT) in a Rat Model |
| Omid Yaghmazadeh1, Mihaly Voroslakos1, Mark Mattingly2, Zakia Ben Youss Gironda3, Youssef Zaim Wadghiri3, Seena Dehkharghani3,4, and Leeor Alon3,4 | ||
1Neuroscience, New York University School of Medicine, New York, NY, United States, 2Bruker cooperation, Billerica, MA, United States, 3Department of Radiology, New York University School of Medicine, New York, NY, United States, 4Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States |
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We introduce an in-vivo multinuclear MR thermometry technique which utilizes the unique frequency shift between water and sodium resonant frequencies. Reconstruction of the absolute temperature is validated using chemical shift imaging conducted on a rodent model implanted with a thin fiber optic probe for monitoring. |
| 446 | Pitch: 9:29 Poster: 9:31 Plasma 23
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Quantitative assessment of cerebral oxygen extraction fraction (OEF) in the medial temporal lobe |
| Dengrong Jiang1, Peiying Liu1,2, Zixuan Lin1, Abhay Moghekar3, Jay J. Pillai1,4, and Hanzhang Lu1,5,6 | ||
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, 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 Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States |
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The medial temporal lobe (MTL), including the hippocampus, is a key area implicated in many brain diseases, such as Alzheimer’s disease. Since neural activity is tightly coupled to the brain’s oxygen consumption, oxygen-extraction-fraction (OEF) in the MTL (MTL-OEF) may serve as a functional biomarker for this critical region. In this work, we developed a novel non-invasive MRI technique, AS-aTRUPC, to specifically measure the MTL-OEF in the human brain. We found that in healthy volunteers, the MTL-OEF is lower than the cortical OEF. The sensitivity of our technique in detecting changes in MTL-OEF was demonstrated in caffeine challenge experiments. |
| 447 | Pitch: 9:31 Poster: 9:33 Plasma 24
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Time-lapse MRI: in vivo single-cell tracking of patrolling immune cells |
| Enrica Wilken1, Ina Fredrich1, Asli Havlas1, Felix Freppon1, Max Masthoff1, and Cornelius Faber1 | ||
1TRIC, Clinic of Radiology, University Hospital Muenster, Muenster, Germany |
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We validate that time-lapse MRI is able to resolve and follow single immune cells patrolling the brain vasculature. For that reason, we simulate motion-dependent contrast based on artificial k-space, imitate migrating cells with a rotating phantom system, and track iron-labeled monocytes in vivo with repeated T2* weighted imaging. Furthermore, we show that time-lapse MRI allows to differentiate between different motion patterns non-invasively and with whole-brain coverage, and to study altered motion behavior upon inflammatory stimulus and the onset of immune responses distant from the site of inflammation. |
| 448 | Pitch: 9:33 Poster: 9:35 Plasma 25
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Low-Dose Ferumoxytol Infusion Provides Effective Vascular Suppression for Magnetic Resonance Neurography |
| Emily Pedrick1, Darryl B Sneag1, Philip G Colucci1, Mylinh Duong1, Alyssa Vanderbeek1, and Ek T Tan1 | ||
1Hospital for Special Surgery, New York, NY, United States |
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This study investigated the effectiveness of a low-dose (25% of a single treatment dose for anemia) ferumoxytol-infusion for vascular suppression in T2-weighted MR neurography of the brachial plexus. 3D STIR-FSE and 2D Dixon-FSE sequences of the brachial plexus were acquired in 12 healthy volunteers pre- and post-ferumoxytol. Quantitative and subjective assessments by two readers demonstrated superior vascular suppression and nerve visualization post-ferumoxytol without negatively affecting soft tissue contrast or fat suppression. |
| 449 | Pitch: 9:35 Poster: 9:37 Plasma 26
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Modelling the effect of hyperoxia on the spin-lattice relaxation rate R1 of tissues |
| Emma Bluemke1, Eleanor Stride1, and Daniel Bulte1 | ||
1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom |
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The paramagnetic relaxivity effect of oxygen on longitudinal relaxation rate (R1) has been explored as a means of inferring partial pressure of oxygen in the tissue or bodily fluids, and examining tissue R1 response to hyperoxic gas breathing is used in research techniques such as oxygen-enhanced MRI. We present a 3-compartment model for estimating the hyperoxia-induced changes in R1 of tissues depending on B0, SO2, blood volume, hematocrit, oxygen extraction fraction, and changes in blood and tissue PO2. It is easy for researchers to tailor this model to their tissue of interest by substituting preferred tissue oxygen diffusion/consumption models. |
| 450 | Pitch: 9:37 Poster: 9:39 Plasma 27
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Interplay of Iron and Copper in the Neuromelanin-Related Paramagnetic Relaxation Enhancement |
| Niklas Wallstein1, Andreas Pöppl2, Andrea Capucciati3, André Pampel 1, Carsten Jäger1, Fabio A. Zucca4, Enrico Monzani3, Luigi Casella3, Luigi Zecca4, and Harald E. Möller1,2 | ||
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Leipzig University, Faculty of Physics and Earth Sciences, Felix Bloch Institute for Solid State Physics, Leipzig, Germany, 3Department of Chemistry, University of Pavia, Pavia, Italy, 4Institute of Biomedical Technologies, National Research Council of Italy, Segrate, Italy |
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Neuromelanin-sensitive MRI receives interest as potential biomarker in neurodegenerative diseases, such as Parkinson’s and Alzheimer’s disease. It is known that human neuromelanin pigments bind large quantities of toxic metal ions, especially iron but also other transition metals including copper. These melanin-iron complexes are a potential source of paramagnetic relaxation enhancement of water proton. In relaxometry investigations, we found deviations from a simple linear concentration-dependent T1 shortening in synthetic neuromelanins containing different amounts of iron and copper. Knowledge of the occupation of distinct metal binding sites seems crucial for contrast optimization or attempts to quantify metal content by MRI. |
| 451
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9:15
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Pulsed Selective Excitation in Multiphoton MRI |
| Victor Han1, Jianshu Chi1, 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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When multiple RF fields are applied at different frequencies, multiphoton excitation can occur when the sums or differences of integer multiples of these frequencies equal the Larmor frequency. No RF at the Larmor frequency is required. In this work, we describe the general principles of multiphoton pulsed selective excitation, providing a formalized treatment with design examples and implementations on a 3T scanner with an additional homemade z-direction (Bz) coil. With the additional Bz coil, we demonstrate additional flexibility, where the same excitation can be accomplished in several different ways with the same pulse duration. |
| 452
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9:27
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Fat suppression using dynamic parallel transmission at 7T: application to whole-brain CEST MRI |
| Simon Lévy1, Jürgen Herrler2, Andrzej Liebert1, Katharina Tkotz1, Moritz S. Fabian2, Christian Eisen1, Michael Uder1, David Grodzki3, Moritz Zaiss2, and Armin M. Nagel1,4 | ||
1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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Fat signal can cause strong artifacts in MR images and/or bias measurements such as in Chemical Exchange Saturation Transfer (CEST) where metabolites peaks are reduced. At 7T, the signal-to-noise ratio and the peak separation are increased but the Specific Absorption Rate (SAR) constraints too, limiting the use of fat suppression pulses. Parallel transmit dynamic pulses for fat saturation (using kT-points) and water-selection (using a Spiral Non-Selective trajectory) were implemented for a whole-brain CEST protocol and optimized to reduce SAR compared to the standard circularly-polarized approach. Results showed high improvements in flip angle homogeneity and fat suppression efficiency, with reduced SAR. |
| 453 | 9:39
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Simultaneous Multislice pTx for Readout-Segmented Diffusion Imaging at 7 T |
| Sydney Nicole Williams1, Iulius Dragonu2, Belinda Ding1,2, Patrick Liebig3, and David A. Porter1 | ||
1Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, 2Siemens Healthcare Ltd. United Kingdom, Frimley, United Kingdom, 3Siemens Healthcare GmbH, Erlangen, Germany |
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This abstract addresses the challenges of 7T diffusion MRI associated with shorter T2/T2* and inhomogeneous B1+ field by implementing simultaneous multislice (SMS) parallel-transmit (pTx) slice-by-slice shimming in a readout-segmented diffusion-weighted sequence, RESOLVE. The benefits of pTx were compared to conventional single-transmit circularly polarized (CP) mode both with and without SMS using a matched high-resolution diffusion protocol in the same healthy volunteer. Slice-by-slice shimming significantly improves signal homogeneity while SMS opens the door for improved scan efficiency. The simplicity of slice-by-slice shimming and sequence integration makes this a practical solution for routine 7T imaging. |
| 454 | 9:51
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MetaPulse2D: methodology to enable universal slice specific spokes pulses in parallel transmission |
| Franck Mauconduit1, Vincent Gras1, Alexandre Vignaud1, and Nicolas Boulant1 | ||
1Paris-Saclay University, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-yvette, France |
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When using a slice-by-slice RF shimming or multi-spokes pulses in 2D parallel transmission MRI, the solution is valid for a specific slice position and orientation. Here, we introduce a new pulse concept were the spoke coefficients and gradient blips are smooth functions of the slice position and orientation. We show that this design performs better than CP mode and equivalent to other designs. However, it enables to tilt or reposition slices without requiring additional optimization. This solution promotes signal smoothness through slices. Additionally, it can be pre-computed using the Universal Pulse concept or computed online using a tailored approach. |
| 455 | 10:03
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Towards frequency robust tailored and universal pulses in the human heart at 7T |
| Christoph Stefan Aigner1, Sebastian Dietrich1, Felix Krüger1, Max Lutz1, and Sebastian Schmitter1,2,3 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2German Cancer Research Center (DKFZ), Medical Physics in Radiology, Heidelberg, Germany, 3University of Minnesota, Center for Magnetic Resonance Research, Minneapolis, MN, United States |
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This work demonstrates the design and application of frequency robust, subject-tailored or universal, non-selective kT-point pulses to achieve a homogeneous flip-angle within the 3D human heart at 7T across a 1400Hz wide frequency range that includes water and six fat frequencies. Frequency robust universal pulses were computed offline based on 31 3D B1+-maps and could be used in time-critical situations for calibration-free 3D heart flip-angle homogenization. Experimental data at 7T validates the flip-angle predictions and demonstrates successful excitation of fat and water in the human heart at 7T. |
| 456
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10:15
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Rapid B1+ Mapping using a Sandwiched Train Saturated TurboFLASH Sequence at 7T |
| James L. Kent1, Ladislav Valkovic2,3, Iulius Dragonu4, and Aaron T. Hess1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 3Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, 4Siemens Healthineers, Frimley, United Kingdom |
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Ultra-high field MRI with parallel transmit offers significant advantages but B1 transmit maps must be acquired to utilize its full potential. We designed and evaluated three new adaptations to a pre-saturation TurboFLASH B1+ mapping method. The proposed methods enabled significantly shorter TRs (on the order of 1 s), were insensitive to T1, and had comparable accuracy to the original method whilst maintaining the other desirable characteristics of the sequence. The method was shown to work in 3D allowing for volumetric B1+ maps to be acquired in 18 seconds. |
| 457
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10:27
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Inter-subject differences in SAR sensitivity to motion with parallel-transmit at 7T. |
| Alix Plumley1, Nathan Goodwin1, and Emre Kopanoglu1 | ||
1Cardiff University, Cardiff, United Kingdom |
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Specific absorption rate (SAR) is sensitive to head motion, especially in parallel-transmit (pTx) due to channel interference. It is known that SAR distribution varies according to subject anatomy. Here, we investigate whether SAR sensitivity to motion also depends on the subject. We designed quadrature-mode and pTx pulses at a centred position and evaluated them at 29 displaced positions. We compared the motion-induced SAR change across 4 body-models. We observed some variation across models, but local-SAR at least doubled in all models’ worst-cases. Our findings suggest that the safety concerns surrounding motion effects on SAR are relevant for various populations. |
| 11:30 | Ernst Lecture: The Future of AI in Medical Imaging |
| 11:50 | In Memory of Richard Ernst |
| Andrew A Maudsley1 | |
1Radiology, University of Miami, School of Medicine, Miami, FL, United States |
| 12:10 | Making Magnetic Resonance Spectroscopy & Imaging Possible: From First NMR to Ultrafast 2D NMR & Advanced MRI & MRSI Today |
| Lucio Frydman1 | |
1Weizmann Institute, Rehovot, Israel |
| 12:30 | Can’t Make It Without the Real Tools: The Art of the RF Coils |
| Mary P. McDougall1 | |
1Texas A & M University, Collage Station, TX, United States |
| 12:50 | Applying MRI Tools to Cope with the Challenge of Probing Brain Structure & Physiology |
| Marion Smits1 | |
1Erasmus University Medical Center, Rotterdam, Netherlands |
14:30
|
Panelist | |
| Daniel K. Sodickson1 | ||
1New York University Grossman School of Medicine, United States |
14:30
|
Panelist | |
| Karla L. Miller1 | ||
1University of Oxford, Oxford, United Kingdom |
14:30
|
Panelist | |
| Rebecca Ramb1 | ||
1Siemens Healthineers, Germany |
14:30
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Panelist | |
| Jeffrey Fessler1 | ||
1University of Michigan, Ann Arbor, MI, United States |
14:30
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Functional Networks in the Rodent Brain | |
| Nanyin Zhang1 | ||
1Biomedical Engineering, Pennsylvania State University, University Park, PA, United States |
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A major challenge in mental health research has been the difficulty to directly translate from human symptoms to animal models that have unique behavioral repertoire. The brain circuit/network function, which can be readily measured using resting-state fMRI (rsfMRI), might provide a link between animal models and human patients. With this method, significant progress has been made that allows rodent’s brain circuit/network function to be reliably examined. Importantly, rsfMRI in rodents can be combined with multiple neuroscience approaches including optogenetics, DREADDs and electrophysiology, making it possible to further derive causal relationship between brain network function and behavior. |
15:00
|
Structure-Function Coupling in the Mouse Connectome | |
| Alessandro Gozzi | ||
15:30
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Deciphering the dynamics of pathophysiological processes in animal models of age-related brain diseases using MRI | |
| Jan Klohs1 | ||
1Bruker, Switzerland |
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The use of magnetic resonance imaging (MRI) in animal models of brain diseases has opened-up exciting possibilities to non-invasively interrogate pathological changes in the model brain and to monitor the dynamics of these events over the disease course. In my lecture I will showcase recent advances in MRI methodology and discuss their current applications for the research of cerebral ischemia and other age-related brain diseases. Applications span from the assessment of anatomical information of the brain, to quantitative probing of its microstructure and chemical composition, as well as deriving physiological and molecular information using dedicated imaging probes. |
16:00
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High-Throughput MRI for Pharmacological Studies | |
| Nicolau Beckmann1 | ||
1Novartis Institutes for BioMedical Research, Switzerland |
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In vivo imaging has become an integral part of pharmaceutical research, and MRI with its great flexibility is an important player. At the preclinical level, extensive validation of imaging readouts against established techniques, such as fluid biomarkers, histology, or immunohistochemistry, precedes their adoption in pharmacological studies. These often involve a large number of animals, as several compound doses or therapies are compared. Through examples this presentation aims to illustrate possible ways to address the challenges of preclinical MRI in the assessment of reproducible, well-validated readouts while achieving a throughput that is compatible with complex dosing schedules in pharmacological studies. |
| 458 | 14:30
|
White matter changes in myelin, iron and R2* in Alzheimer's disease |
| Lindsay Munroe1, Azhaar Ashraf1, Antigoni Ekonomou1, Harold Parkes1, Claire Troakes1, and Po-Wah So1 | ||
1Neuro-imaging, King's College London, London, United Kingdom |
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Brain iron dyshomeostasis/iron overload has been observed in Alzheimer's disease (AD). Being sensitive to the presence of iron, magnetic resonance imaging (MRI), is often used to study the role of iron in disease. In this study, we determined group differences in iron, R2* and myelin, acquired from the same ex-vivo mid-temporal gyri samples from AD and cognitively normal (CN) subjects. We observed decreased myelin and iron in white matter AD compared to CN. These white matter changes are likely due to a loss of iron-rich oligodendrocytes and demyelination during AD pathogenesis. |
| 459 | 14:42
|
Microstructural MR Markers of Alzheimer’s Disease Pathology in Post-Mortem Human Temporal Lobe |
| Courtney J Comrie1, Laurel A Dieckhaus1, Tom G Beach2, Geidy E Serrano2, and Elizabeth B Hutchinson1 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Brain and Body Donation Program, Banner Sun Health Research Institute, Sun City, AZ, United States |
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Alzheimer’s is an irreversible degenerative brain disease. Current clinical MRI is capable of reporting severe brain atrophy, but fails to recognize earlier biomarkers associated with more subtle microstructural changes. Microstructural MRI techniques such as DTI, MAP-MRI, NODDI, MWF, and BPF are promising to address this challenge and may sensitively detect and distinguish tissue degeneration, tauopathies, and beta amyloid plaques. The capability of these techniques was investigated in post-mortem human temporal lobe specimens at high resolution and high image quality. Prominent findings seen were distinct differences between relaxivity and diffusivity metrics, and striking differences between DTI and MAP-MRI anisotropy metrics. |
| 460 | 14:54
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Explainable MRI: Revealing the mechanisms underlying deep learning brain disease classification |
| Christian Tinauer1, Lukas Pirpamer1, Marc Masana2, Stefan Heber1, Anna Damulina1, Maximilian Sackl1, Martin Soellradl3, Reinhold Schmidt1, Stefan Ropele1, and Christian Langkammer1 | ||
1Department of Neurology, Medical University of Graz, Graz, Austria, 2Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 3Institute of Medical Engineering, Graz University of Technology, Graz, Austria |
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Increased iron deposition in the basal ganglia is a frequent finding in patients with AD. Using R2* maps we separated Alzheimer's patients (n=115) from healthy controls (n=169) by using a deep neural network and systematically investigated the influence of the learned features using an attached relevance map generator. The highest relevances were found in and adjacent to the basal ganglia, which is in line with established histological findings and additionally confirmed by the conventional ROI-based analysis. This study demonstrates the validity of heat mapping as a means to identify novel areas of pathological tissue changes. |
| 461
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15:06
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Transformer-based Alzheimer’s disease analyzer for multi-institutional 3D MRI images |
| Jinseong Jang1 and Dosik Hwang1 | ||
1Yonsei University, Seoul, Korea, Republic of |
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We propose Transformer-based Alzheimer’s disease (AD) analyzer for 3D MRI. The proposed network can analyze 3D MRI images efficiently combining 3D CNN, and Transformer. It is possible to efficiently extract locality information for AD-related abnormalities in local brain based on CNN networks with inductive bias. Also, the transformer network is also used to obtain attention relationship among 3D representation features after CNN. Our proposed method was compared to various networks including 3D CNN and transformer with an area under curve and accuracy for AD classification in multi-institutional datasets. Also, the transformer interpretability technique-based activation map can visualize AD-related abnormality region. |
| 462 | 15:18
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Functional eigenvector centrality dynamics are related to amyloid deposition in preclinical Alzheimer’s Disease |
| Luigi Lorenzini1, Ingala Silvia1, Lyduine E Collij1, Betty Tijms2, Henk JMM Mutsaerts 1,3, Viktor Wottschel 1, Sven Haller4,5, Kaj Blennow 6,7, Giovanni Frisoni8,9, Gael Chételat 10, Pierre Payoux 11,12, Pablo Lage-Martinez 13, Adam Waldman 14,15, Joanna Wardlaw 14,16, Craig Ritchie17, Juan Domingo Gispert 18,19,20,21, Pieter Jelle Visser 2,22,23, Philip Scheltens 2, Barkhof Frederik1, and Alle Meije Wink 1 | ||
1Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands, Amsterdam, Netherlands, 2Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands, Amsterdam, Netherlands, 3Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium, Ghent, Belgium, 4CIRD Centre d’Imagerie Rive Droite, Geneva, Switzerland, Geneva, Switzerland, 5Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden, Uppsala, Sweden, 6Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden, Gothenburg, Sweden, 7Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden, Mölndal, Sweden, 8aboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy, Brescia, Italy, 9University Hospitals and University of Geneva, Geneva, Switzerland, Geneva, Switzerland, 10Université de Normandie, Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, 14000 Caen, France, Caen, France, 11Department of Nuclear Medicine, Toulouse CHU, Purpan University Hospital, Toulouse, France, Toulouse, France, 12Toulouse NeuroImaging Center, University of Toulouse, INSERM, UPS, Toulouse, France, Toulouse, France, 13Centro de Investigación y Terapias Avanzadas, Neurología, CITA‐Alzheimer Foundation, San Sebastián, Spain, San Sebastián, Spain, 14Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK, Edinburgh, Scotland, 15Department of Medicine, Imperial College London, London, UK, London, United Kingdom, 16UK Dementia Research Institute at Edinburgh, University of Edinburgh, UK, Edinburgh, Scotland, 17Centre for Dementia Prevention, The University of Edinburgh, Scotland, UK, Edinburgh, Scotland, 18Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain, Barcelona, Spain, 19CIBER Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain, Madrid, Spain, 20IMIM (Hospital del Mar Medical Research Institute), Barcelona Spain, Barcelona, Spain, 21Universitat Pompeu Fabra, Barcelona, Spain, Barcelona, Spain, 22Alzheimer Center Limburg, Department of Psychiatry & Neuropsychology, School of Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands, Maastricht, Netherlands, 23Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden, Stockholm, Sweden |
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Recent evidence suggests that amyloid deposition in the brain follows — and subsequently affects — temporal variability of neuronal activity and functional connectivity. Temporal variability in functional brain network properties connote changes in participation of functional hubs in different subnetworks. We confirm previous findings of alterations of functional eigenvector centrality (EC) in relation to amyloid, and demonstrate that those regions show altered dynamic EC profiles with lower variability over time, hence lower network integration. |
| 463
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15:30
|
Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases |
| Anita Monteverdi1,2, Fulvia Palesi2, Claudia AM Gandini Wheeler-Kingshott1,2,3, and Egidio D'Angelo1,2 | ||
1Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy, 2Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 3NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom |
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The Virtual Brain (TVB) is a novel modeling platform to simulate whole-brain dynamics starting from individual structural and functional connectivity. In this work, we performed TVB simulations in neurodegenerative diseases (i.e. Alzheimer’s disease, Frontotemporal Dementia, and Amyotrophic Lateral Sclerosis) providing a unique description of the excitatory/inhibitory balance at single-subject level. TVB-derived biophysical parameters were different among clinical phenotypes, presented an association with neuropsychological domains and improved discriminative power between clinical conditions. Overall, this work suggests a novel TVB-based approach for future personalized diagnosis and therapy in neurodegenerative diseases, providing a subject-specific description of excitation/inhibition profiles. |
| 464 | Pitch: 14:30 Poster: 14:32 Plasma 1
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Microscopic fractional anisotropy may be sensitive to unilateral hippocampal abnormalities in temporal lobe epilepsy |
| Nico J. J. Arezza1,2, Jorge G. Burneo3, Ali R. Khan1,2,4, and Corey A. Baron1,2,4 | ||
1Medical Biophysics, Western University, London, ON, Canada, 2Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada, 3Epilepsy Program, Clinical Neurological Sciences, Western University, London, ON, Canada, 4School of Biomedical Engineering, Western University, London, ON, Canada |
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Drug-resistant temporal lobe epilepsy (TLE) can often be treated surgically, but successful intervention depends on the use of imaging to localize the epileptic focus. Here, microscopic fractional anisotropy (μFA), fractional anisotropy (FA), and mean diffusivity (MD) were investigated to assess their sensitivities to abnormalities in TLE. μFA was significantly reduced in the ipsilateral hippocampal subfield containing the cornu ammonis 3/4 and dentate gyrus (p=0.0044), suggesting that it may be sensitive to pathological hippocampal abnormalities. Furthermore, differences between ipsilateral and contralateral μFA and MD, but not FA, correlated with ipsilateral atrophy in that same region. |
| 465 | Pitch: 14:32 Poster: 14:34 Plasma 2
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MR Fingerprinting Features in Patients with MRI-negative Pharmacoresistant Focal Epilepsy |
| Ting-Yu Su1, Yingying Tang2, Joon Yul Choi1, Siyuan Hu3, Ken Sakaie4, Hiroatsu Murakami1, Stephen Jones4, Imad Najm1, Dan Ma3, and Zhong Irene Wang1 | ||
1Epilepsy Center, Cleveland Clinic, Cleveland, OH, United States, 2Department of Neurology, West China Hospital of Sichuan University, Chengdu, China, 3Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 4Imaging Institute, Cleveland Clinic, Cleveland, OH, United States |
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MR fingerprinting (MRF) is an advanced quantitative MR technique that allows for efficient acquisition of multiparametric tissue maps. We applied high-resolution 3D MRF to examine T1 and T2 changes in 30 pharmacoresistant focal epilepsy patients with negative MRI, using a voxel-wise group-analysis approach. Forty age-and-gender-matched healthy controls were also included for comparison. Significant T1 increase was detected in the temporal pole, mesial temporal, and superior temporal regions, as well as the orbitofrontal cortex, ipsilateral to the side of the epilepsy. These MRF-detected subtle tissue property changes suggest potential structural damage in the ipsilateral limbic network in MRI-negative pharmacoresistant focal epilepsy. |
| 466 | Pitch: 14:34 Poster: 14:36 Plasma 3
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Alterations in Temporal Lobe Functional Connectivity Differ Based on Clinical Outcomes in Patients with Mesial Temporal Sclerosis |
| Anish Vinay Sathe1, Michael Kogan2, KiChang Kang1, Jingya Miao1, Mashaal Syed1, Isaiah Ailes1, Caio Matias1, Feroze Mohamed1, Ashwini Sharan1, and Mahdi Alizadeh1 | ||
1Thomas Jefferson University, Philadelphia, PA, United States, 2The University of New Mexico, Albuquerque, NM, United States |
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Mesial temporal sclerosis (MTS) is a severe form of temporal lobe epilepsy. Resection is the treatment of choice for refractory MTS but can still show seizure recurrence. We used seed-to-voxel analysis via amplitude synchronization to determine alterations in functional connectivity in MTS based on seizure-free status one year post-resection. Positive and negative correlations between temporal lobe structures and other brain regions were calculated and compared. We found changes in connectivity in MTS between ascending reticular activating system structures such as the thalamus and brainstem and temporal lobe structures. We also found differences in connectivity alterations between seizure-free and non-seizure-free patients. |
| 467 | Pitch: 14:36 Poster: 14:38 Plasma 4
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Analysis of Hippocampal Subfield Diffusion Imaging for Lateralization in Mesial Temporal Sclerosis |
| Gustavo Chau Loo Kung1, Andrew Chiu2, Zachary Davey3, Nicole Mouchawar4, Mackenzie Carlson1, Douglas Martin5, Kevin Graber3, Babak Razavi3, Jennifer McNab4, and Michael Zeineh4 | ||
1Bioengineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford Medicine, Stanford, CA, United States, 3Neurology & Neurological Sciences, Stanford Medicine, Stanford, CA, United States, 4Radiology Department, Stanford University, Stanford, CA, United States, 5University Hospitals, 11100 Euclid Ave, OH, United States |
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We performed subfield characterization of Mesial Temporal Sclerosis (MTS) using diffusion metrics. Analysis of MRI from 57 temporal lobe epilepsy patients was based on categorization from medical records, initial clinical radiological reads, and diagnostic changes after subfield DTI analyses. We observed differences in mean diffusivity, axial diffusivity and orientation dispersion in the dentate gyrus of patients with MTS. Differences between MTS and control patients were more pronounced in left MTS. We demonstrate how these methods may aid in the MRI identification of MTS. |
| 468 | Pitch: 14:38 Poster: 14:40 Plasma 5
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Detection of unilateral changes in thalamic volume and microstructure in focal epilepsy using 7T MRI |
| Benoit Testud1,2, Roy A.M. Haast1,2, Julia Scholly1,2,3,4, Hugo Dary1,2, Arnaud Le Troter1,2, Jean-Philippe Ranjeva1,2, Fabrice Bartolomei3,4, and Maxime Guye1,2 | ||
1Aix-Marseille Université, CNRS, CRMBM, Marseille, France, 2APHM La Timone, CEMEREM, Marseille, France, 3Aix-Marseille Université, INSERM, INS, Marseille, France, 4Department of Epileptology, APHM La Timone, Marseille, France |
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This work evaluated differences in thalamic morphometry and T1 across drug-resistant temporal (TLE) and non-temporal lobe epilepsy (nTLE) patients using 7T MRI. Results show bilateral thalamic atrophy across all patients, with strongest effects observed in TLE patients and ipsilateral pulvinar and mediodorsal nuclei. Moreover, T1 appeared lower, especially in medial, lateral, and posterior nuclei. While T1 was lowest across nTLE patients, an ipsi- vs contralateral effect was uniquely present in TLE patients. Future, joint analyses with other available myelin- and iron sensitive metrics (e.g., tissue susceptibility and diffusivity), connectivity features and clinical features will increase sensitivity to differentiate among patients. |
| 469 | Pitch: 14:40 Poster: 14:42 Plasma 6
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Gray and white matter structural examination for diagnosis of MDD and StD in adolescents and young adults: a preliminary radiomics analysis |
| Huan Ma1, Jianzhong Yang2, Dewei Sun1, Dafu Zhang1, Yan Zhang2, Jing Yuan2, and Xiaoyong Zhang3 | ||
1Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 2Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 3Clinical Science, Philips Healthcare, Chengdu, China, Chengdu, China |
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We obtained sMRI data from unmedicated adolescents and young adults with MDD, StD and well-matched healthy control subjects, and identified radiomics features from gray and white matter, and establish classification models. The accuracies and AUC were 86.75%, 0.93 for distinguishing MDD from HC, 70.51%, 0.69 for discriminating StD from HC, and 59.15%, 0.66 for differentiating MDD from StD, respectively. These findings provide preliminary evidence that radiomics features of brain structure are valid for discriminating MDD and StD from HCs. The MRI-based radiomics approach, with further improvement and validation, is a potential facilitating method to clinical diagnosis of mental illness. |
| 470 | Pitch: 14:42 Poster: 14:44 Plasma 7
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Effect of Intravoxel Incoherent Motion on NODDI Diffusion Parameters in both Healthy and Psychotic Spectrum Disorder Populations |
| Faye McKenna1, Veronica Yu Sui1, and Mariana Lazar1 | ||
1Radiology, New York University School of Medicine, New York, NY, United States |
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We investigated the intravoxel incoherent imaging (IVIM) effect on neurite orientation dispersion and density imaging (NODDI) metric calculations in both healthy controls (N=36) and a clinical population of individuals with a psychotic spectrum disorder (PSD) (N=55) by extending the original model to include a microvascular blood compartment. We found that without controlling for the IVIM effect, several NODDI metrics were possibly misestimated, which subsequently affected group comparisons and results. |
| 471 | Pitch: 14:44 Poster: 14:46 Plasma 8
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Hypothalamic subnuclei segmentation and diffusion tractography in Major Depressive Disorder at 7T |
| Mackenzie Langan1,2, Ameen Al Qadi1,2, Gaurav Verma1, Bradley Delman3, James Murrough4, Priti Balchandani*1, and Laurel Morris*4 | ||
1Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Icahn School of Medicine, Graduate School of Biomedical Sciences, New York, NY, United States, 3Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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We performed a novel 7T analysis of volumetric, microstructural and tractographic measures in the hypothalamus in MDD and matched controls. We uncovered significant differences in FA from left anterior superior and left tubular inferior, and discovered correlations between these regions and clinical measures of depression and anxiety. These findings warrant further investigations of microstructural integrity within the hypothalamus in patients with MDD and provide a basis for exploration of microstructural integrity within other neuropsychiatric disorders characterized by dysregulated mood and anxiety. |
| 472 | Pitch: 14:46 Poster: 14:48 Plasma 9
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Long-term effects of stimulant treatment on regional cortical thickness development in ADHD |
| Zarah van der Pal1, Kristine Walhovd2,3, Inge Amlien2, Antonia Kaiser1, Hilde Geurts4, Liesbeth Reneman1, and Anouk Schrantee1 | ||
1Department of Radiology & Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands, 2Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway, 3Departments of Radiology and Nuclear Medicine, Oslo University, Oslo, Norway, 4Dutch Autism and ADHD Research Center, Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands |
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Stimulant medication is commonly used in treatment for attention-deficit/hyperactivity disorder, yet its effects on brain development remain unclear. This study investigated the long-term age-dependent effects of stimulants on cortical development after a 4-year naturalistic follow-up of adolescents and adults with ADHD using T1-weighted scans. Medication use was higher in adolescents than adults, and ADHD symptoms improved in both age groups. In line with literature on cortical development, analyses revealed reductions in apparent cortical thickness in adolescents only. However, we observed no effect of medication use on change in cortical thickness, suggesting previously identified psychostimulant effects may be transient. |
| 473 | Pitch: 14:48 Poster: 14:50 Plasma 10
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Tract- and Gray Matter- Based Spatial Statistics Show Microstructural Alterations in Autism Spectrum Disorder |
| Marissa DiPiero1,2, Hassan Cordash2,3, Molly B. Prigge4, Jace B. King4, Carolyn K. King4, Nicholas Lange5, Erin D. Bigler6,7,8,9, Brandon A. Zielinski4,6,10, Jeffrey Anderson4, Janet E. Lainhart2,11, Andrew Alexander2,11,12, and Douglas C. Dean III2,12,13 | ||
1Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States, 2Waisman Center, Madison, WI, United States, 3School of Computer, Data & Information Sciences, University of Wisconsin-Madison, Madison, WI, United States, 4Radiology, University of Utah, Salt Lake City, UT, United States, 5Psychiatry, Harvard School of Medicine, Boston, MA, United States, 6Neurology, University of Utah, Salt Lake City, UT, United States, 7Psychiatry, University of Utah, Salt Lake City, UT, United States, 8Psychology and Neuroscience Center, Brigham Young University, Provo, UT, United States, 9Neurology, University of California-Davis, Davis, CA, United States, 10Pediatrics, University of Utah, Salt Lake City, UT, United States, 11Psychiatry, University of Wisconsin-Madison, Madison, WI, United States, 12Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 13Pediatrics, University of Wisconsin-Madison, Madison, WI, United States |
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Advanced diffusion MRI techniques, such as Neurite Orientation Dispersion and Density Imaging (NODDI), may be used to improve characterization of gray matter (GM) and white matter (WM) microstructure of the brain. In this work, we used Gray Matter Based Spatial Statistics and Tract Based Spatial Statistics to investigate cortical GM and WM microstructural differences in individuals with autism spectrum disorder (ASD). Group differences and age by group interaction models were assessed. We demonstrate wide-spread alterations in GM and WM microstructure in ASD. Findings provide unique evidence of altered neurodevelopmental processes affecting microstructural development in ASD that persist into adulthood. |
| 474 | Pitch: 14:50 Poster: 14:52 Plasma 11
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Dose-dependent effects of S-ketamine on frontal neurometabolism: a 7T functional MRS study |
| Daphne Boucherie1, Sean van Mil1, Liesbeth Reneman1, Markus Hollmann2, and Anouk Schrantee1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, Netherlands, 2Department of Anaesthesiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands |
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The therapeutic antidepressant effect of S-ketamine has been linked to changes in glutamatergic neurotransmission. Here, we investigated the value of dynamic functional MRS compared to static MRS in detecting dose-dependent effects of subanesthetic S-ketamine on glutamate in the anterior cingulate cortex. Although significant dose-dependent subjective dissociative effects of S-ketamine were observed, we did not find significantly different glutamate changes between placebo, low-dose S-ketamine and high-dose S-ketamine, using either a “static” or “dynamic” analysis approach. Nevertheless, exploratory analyses suggest that glutamate might be modulated at specific time-points after S-ketamine administration, illustrating the potential additional information obtained from a dynamic approach. |
| 475 | Pitch: 14:30 Poster: 14:32 Plasma 16
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Differentiation of tumor grade for renal cell carcinoma using MR Fingerprinting |
| Sree Harsha Tirumani1,2, Christina J MacAskil1, Michael Markley1, Nicole Pritts1, Jared C Durieux1, Robin Elliott3,4, Adam Calaway5,6, Lee Ponsky5,6, Mark Griswold1, Chris Flask1, and Yong Chen1 | ||
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Pathology, Case Western Reserve University, Cleveland, OH, United States, 4Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 5Urology, Case Western Reserve University, Cleveland, OH, United States, 6Urology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States |
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In this study, we applied kidney MR Fingerprinting in characterization of renal cell carcinoma (RCC) and correlated the quantitative T1 and T2 values with tumor grade. Our results show significantly lower T2 values between the high-grade/unclassified RCC group and the chromophobe/low-grade RCC group (55±19 vs. 90±24 msec; P<0.05), while no significant difference in T1 values was noticed (P>0.05). More importantly, MRF T1 and T2 measurements provide complementary information in characterization of RCC tumor grades with a sensitivity of 89% and a specificity of 98% in differentiation of the two RCC groups, demonstrating the strength of multi-parametric imaging. |
| 476 | Pitch: 14:32 Poster: 14:34 Plasma 17
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Detection of kidney cysts using a Convolutional Neural Network on 11,000 MRI data sets from the German National Cohort |
| Wilfried Reichardt1, Jan Lipovsek1, Marco Reisert1, Harald Horbach1, Christopher Schlett1, Fabian Bamberg1, Peggy Sekula1, Anna Köttgen1, Elias Kellner1, and Martin Büchert1 | ||
1University Medical Center Freiburg, Freiburg, Germany |
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We implemented a processing pipeline for kidney cyst segmentation using a hierarchical patch-based stack of U-nets and applied it to abdominal MRI images of the German National Cohort (GNC) study. The training data set included 300 cases, and the final net was applied to the dataset of 11,207 MRIs. Kidney cysts could be segmented with 98% sensitivity above a lower detection threshold of 1ml. The relation of first parameters based on the cyst segmentation with age and sex are presented. This result presents an optimal starting point to identify more advanced bimarkaers and their correlates, especially with kidney function parameters. |
| 477 | Pitch: 14:34 Poster: 14:36 Plasma 18
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Size Matters: Correct diagnoses of MRI based renal oxygenation assessment by monitoring kidney size |
| Jason Michael Millward1,2, Kathleen Cantow3, Thomas Gladytz1, Sonia Waiczies1,2, Thoralf Niendorf1,2, and Erdmann Seeliger3 | ||
1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Institute of Physiology, Charite´ - Universitätsmedizin Berlin, Berlin, Germany |
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Tissue hypoxia occurs during acute kidney injury. MRI-based measurement of renal T2* and T2 could become a non-invasive surrogate marker of tissue oxygenation. However, the relationship between renal oxygenation and T2*,T2 is confounded by changes in the blood and tubular volume fractions, which are often accompanied by changes in kidney size (KS). We performed serial MRI scans along with clinically-realistic interventions acutely affecting renal oxygenation, applied directly while rats were in the scanner. We show that changes in KS correlate with changes in renal T2*,T2, underscoring that monitoring KS is necessary for correct interpretation of renal oxygenation derived from MRI. |
| 478 | Pitch: 14:36 Poster: 14:38 Plasma 19
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Measurement of renal perfusion using ASL-MRI and renal oxygenation using BOLD-MRI in dogs: a pilot study |
| Amber Hillaert1, Katrien Vanderperren1, and Pim Pullens2 | ||
1Department of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium, 2Department of Radiology and Nuclear Medicine, Ghent University Hospital, Ghent, Belgium |
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ASL- and BOLD-MRI have shown great potential in humans and rodents. To date, however, these techniques have not been used to image the canine kidney. Therefore, renal blood flow (RBF) and relaxation rate (R2*) were assessed using ASL and BOLD sequences on a beagle at 3T to examine the feasibility of both techniques in dogs. Mean RBF was 263.3 ± 39.0 and 277.4 ± 83.3 ml/100g/min in the right and left kidney, respectively. Mean R2* in the right kidney was 22.6 (range 14.8 - 36.8) s-1. This pilot-study demonstrates the feasibility of ASL- and BOLD-MRI for renal assessment in dogs. |
| 479
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Pitch: 14:38 Poster: 14:40 Plasma 20
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Prognostic potential of multiparametric MRI in the assessment of renal allografts early after transplantation |
| Rebeca Echeverria-Chasco1,2, Paloma L. Martin Moreno3, Nuria Garcia-Fernandez2,3, Marta Vidorreta4, Anne Oyarzun5, Arantxa Villanueva Larre2,5,6, Gorka Bastarrika1,2, and Maria A. Fernandez-Seara1,2 | ||
1Radiology, Clinica Universidad de Navarra, Pamplona, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3Nephrology, Clinica Universidad de Navarra, Pamplona, Spain, 4Siemens Healthcare, Madrid, Spain, 5Electrical Electronics and Communications Engineering, Public University of Navarre, Pamplona, Spain, 6ISC, Institute of Smart Cities, Pamplona, Spain |
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Purpose: to evaluate the prognostic potential of a multiparametric renal MRI protocol (perfusion, diffusion and T1) for the assessment of the allograft in the very early stages after transplantation. Methods: 18 transplanted patients were imaged 6 days after the transplantation with ASL, IVIM and T1 mapping sequences. 2 groups were made depending on the allograft evolution (group A: no adverse events and group B: any adverse event). Results: eGFR, album-creatinine ratio and cortical and medullary RBF were significantly higher in allografts of group A than in group B. Significant correlations between eGFR and RBF were found. |
| 480 | Pitch: 14:40 Poster: 14:42 Plasma 21
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Cardiac cycle and flow compensation effects on REnal Flow and Microstructure AnisotroPy (REFMAP) MRI in healthy human kidney |
| Eric Sigmund1, Artem Mikheev1, Inge Brinkmann2, Thomas Benkert3, and Hersh Chandarana1 | ||
1Radiology, NYU Langone Health, New York, NY, United States, 2Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Diffusion-weighted imaging in renal tissue is a complex interplay of microstructural and microcirculation effects, which are often quantified with diffusion tensor imaging (DTI) or intravoxel incoherent motion (IVIM), as well as hybrid models such as Renal Flow and Microstructure AnisotroPy (REFMAP). This work measures the modulation of these effects with cardiac phase and with flow compensated (FC) diffusion gradient waveforms. Results show that both cardiac phase and FC affect diffusion metrics signficantly in cortex and medulla, and suggest that these experimental tools may in the future be leveraged to increase biophysical specificity of renal diffusion MRI metrics. |
| 481 | Pitch: 14:42 Poster: 14:44 Plasma 22
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Validation of automatically measured ΔT1 values correlated with eGFR and fibrosis assessment of allograft kidneys |
| Ibtisam Aslam1,2, Fariha Aamir3, Miklos KASSAI1, Lindsey A CROWE1, Sophie de Seigneux4, Solange Moll5, Lena BERCHTOLD4, and Jean-Paul VALLEE1 | ||
1Service of Radiology, Geneva University Hospitals and Faculty of Medicine, University Hospital and University of Geneva, Geneva, Switzerland, 2Medical Image Processing Research Group (MIPRG), Deptt. of Electrical & Computer Engineering, COMSATS University Islamabad, ISLAMABAD, Pakistan, 3Medical Image Processing Research Group (MIPRG), Deptt. of Electrical & Computer Engineering, COMSATS University Islamabad (CUI), Pakistan, ISLAMABAD, Pakistan, 4Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland, 5Department of Clinical Pathology, Institute of Clinical Pathology, University Hospital and University of Geneva, Geneva, Switzerland |
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Chronic kidney disease (CKD) affects 11% of the population in Switzerland & US per year and is a major public health issue. Also, the CKD is 16th most prominent reason of life lost worldwide. MRI T1-mapping is a non-invasive way to monitor the renal prognosis. Recent studies show that the ∆T1 (cortex-medullary difference) has a strong positive correlation with fibrosis in CKD patients and is an important biomarker for CKD. This work proposes a validation of the T1-map cortico-medullary difference (ΔT1) values measured from automatically segmented cortex and medulla for eGFR and fibrosis assessment of allograft kidneys. |
| 482 | Pitch: 14:44 Poster: 14:46 Plasma 23
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A Travelling Kidney study using a harmonised multiparametric renal MRI protocol |
| Charlotte E Buchanan1, Hao Li2, David M Morris3, Alexander J Daniel1, João Sousa4, Steven Sourbron4, David L Thomas5,6,7, Andrew Nicholas Priest2,8, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom, 4Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 5Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 6Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 7Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 8Department of Radiology, Addenbrooke’s Hospital, Cambridge, United Kingdom |
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Standardisation and multicentre evaluation of renal MRI measures is crucial for clinical translation. Here we present results of a Travelling kidney study on GE, Philips and Siemens using a harmonised multiparametric renal MRI protocol, and show results of B0 and B1 mapping, T1, and T2* mapping. The mode B0 within the kidneys did not vary across vendors, however the FWHM was narrower for Vendor 1. No significant differences were seen in MOLLI T1 values of the renal cortex and medulla after this data was corrected for the offset in T1 seen in the NIST phantom. |
| 483 | Pitch: 14:46 Poster: 14:48 Plasma 24
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Noninvasive assessment of unilateral ureter obstruction using dynamic contrast-enhanced MR-CEST urography |
| Julia Stabinska1, Aruna Singh1,2, Farzad Sedaghat2, Max Kates3, Yuguo Li1,2, and Michael T. McMahon1,2 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3The James Buchanan Brady Urological Institute, Department of Urology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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The extent of recovery of renal function in patients with urinary tract obstructions depends on early diagnosis and prompt intervention. In the present study, we employed dynamic contrast-enhanced MR-CEST urography to noninvasively assess kidney function in mice with unilateral ureter obstruction (UUO) at two time points (day 1 and 2) after UUO surgery. Using a dynamic CEST MRI protocol, we were able to detect a slight increase in pH values (pH 6.74 ± 0.08 and 6.62 ± 0.04 in the UUO and contralateral kidney, respectively) as well as iopamidol retention in the UUO kidney. |
| 484
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Pitch: 14:48 Poster: 14:50 Plasma 25
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MRI Urodynamics: A 3D approach to Bladder Biomechanics |
| Juan Pablo Gonzalez-Pereira1, Cody Johnson2, Shane A Wells2, Wade Bushman3, and Alejandro Roldan-Alzate1,2 | ||
1Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Urology, University of Wisconsin-Madison, Madison, WI, United States |
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Lower urinary track symptoms (LUTS) affect many older adults. Existing methods to evaluate the lower urinary tract are invasive and provide limited information about changes in bladder anatomy and detrusor muscle function. Use of non-invasive methods for the study of lower urinary tract anatomy and function has been limited. This pilot study demonstrates the feasibility of MRI urodynamics in healthy subjects and in LUTS patients. Future advancements in this study will be aimed at using the data acquired to further deepen the comprehension of the bladder voiding cycle. |
| 485 | 14:30
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Dynamics of hypercellular glioma regions identified with diffusion-weighted imaging for adaptive radiotherapy on an MR-Linac |
| Liam S. P. Lawrence1,2, Rachel W. Chan1, James Stewart3, Mark Ruschin3, Aimee Theriault3, Sten Myrehaug3, Jay Detsky3, Pejman J. Maralani4, Chia-Lin Tseng3, Greg J. Stanisz1,2,5, Arjun Sahgal3, and Angus Z. Lau1,2 | ||
1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland |
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For radiotherapy of high-grade glioma, dose escalation to hypercellular tumour could improve local control, but changes during treatment might necessitate target volume adaptation. Since hypercellular tumour causes low apparent diffusion coefficient (ADC) values, volumetric changes in low-ADC regions were quantified using near-daily MR-Linac imaging to evaluate adaptation necessity. Low-ADC regions increased in volume (median extremal change: 12.2%) and changed rapidly for certain patients (maximum growth/shrinkage rate: 7.1/9.1% per day). Low-ADC regions changed more in magnitude and grew more rapidly for resected tumours than intact ones. These findings imply that adaptation may be required for dose escalation to hypercellular glioma regions. |
| 486 | 14:42
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Develop CEST-detectable liposomes for nose-to-brain drug delivery |
| Lok Hin LAW1, Jianpan Huang1, Yang Liu1, Peng Xiao1, Ho Chi Joseph Lai1, Zilin Chen1, and Kannie W.Y. CHAN1,2,3,4 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Kowloon, 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, 4Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong |
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Nose-to-brain-drug-delivery is an effective route to administer drug to the brain bypassing the blood-brain-barrier(BBB). No non-invasive way to assess the delivery-efficiency available yet, especially with brain distribution. Here we investigated the imaging of nanomedicine-delivery via intranasal-administration using CEST-detectable(Iohexol loaded)mucus-penetrating-liposome(with10%PEG). The mucus-retention and penetration-efficiency was examined by in-vitro cell study and in-vivo CEST MRI after injecting the Iohexol-loaded-mucus-penetrating-liposome(Ioh-Lipo). 10%PEG-Ioh-Lipo showed a 20%higher mucus-retention than 1%PEG-Ioh-Lipo. This was also observed in-vivo with significant CEST-contrast difference in the OB between 3groups of mice at 4.3 and 3.5ppm. Moreover, liposomes were mainly found in the ONL, EPL, and MCL of the OB in histology. |
| 487 | 14:54
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MRI-based cortical shear strain measurement in healthy volunteers: repeatability study and its implications for sub-concussive trauma |
| Xiang Shan1, Matthew C Murphy1, Yi Sui1, Keni Zheng1, Armando Manduca2, Richard L Ehman1, John Huston III1, and Ziying Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States |
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Repetitive head impact (RHI) increases the risk of concussion, probably due to alterations of the brain-skull mechanical coupling. It would be of clinical value to have a reliable biomarker capable of assessing the status of the brain-skull coupling condition. MRE-based normalized octahedral shear strain (NOSS) has been proposed as a method for such brain membrane system evaluation. To verify the test-retest reliability of NOSS, datasets from 14 healthy volunteers were acquired with different vibration directions and within- and between-day scanning. This study demonstrated the excellent repeatability of the proposed method, showing the NOSS distributions were robust to loading variations. |
| 488 | 15:06
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DKI Metrics Provide Improved Sensitivity To Conventional DTI in Differentiating Brain Microstructural Changes in HIV Clade-C Infection |
| Teddy Salan1, Sameer Vyas2, Deepika Aggarwal2, Paramjeet Singh2, and Varan Govind1 | ||
1Radiology, University of Miami, Miami, FL, United States, 2Post Graduate Institute of Medical Education & Research, Chandigarh, India |
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HIV clade-C, found in 50% of HIV cases worldwide, has been reported to have lower neurovirulence than clade-B, more common in the global north. Numerous DTI-based studies have investigated HIV-associated microstructural damage in the brain, yet few looked at clade-C in particular. Moreover, some have reported inconsistent DTI results with respect to HIV. In this study, we use DTI and DKI to determine the extent of microstructural brain damage due to HIV clade-C infection. Our results show that a combined use of DTI and DKI can provide a better description of brain tissue damage among HIV clade-C infected individuals. |
| 489 | 15:18
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Estimating Cerebrovascular Compliance from Normocapnia and Hypercapnia BOLD Pulsatility Mapping |
| Jake Valsamis1, Nicholas Luciw1, Walter Swardfager2,3, Andrew Lim2,4, Joel Ramirez2, Sandra Black2,4, and Bradley J MacIntosh1,5 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada, 4Department of Medicine, University of Toronto, Toronto, ON, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Measuring intracranial vascular compliance (VC) may help characterize a patient’s resilience to Alzheimer’s disease and dementia. In this study, we estimate VC from a BOLD MRI cerebrovascular reactivity (CVR) protocol by measuring cardiac-related BOLD pulsatility and end-tidal CO2 during periods of hypercapnia and normocapnia. We measured high VC in regions proximal to major cerebral arteries like the thalamus and insula, and low VC in the parietal lobe. This study demonstrates the feasibility of extracting additional information from BOLD-CVR experiments and suggests regional differences in VC. Future work will include a second cohort to estimate VC in different patient populations. |
| 490 | 15:30
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Plug-and-play Advanced Magnetic Resonance Spectroscopy |
| Dinesh K Deelchand1, Pierre-Gilles Henry1, James M Joers1, Edward Auerbach 1, Young Woo Park1, Firat Kara2, Eva Ratai3, Kejal Kantarci2, and Gülin Öz1 | ||
1University of Minnesota, Minneapolis, MN, United States, 2Mayo Clinic, Rochester, MN, United States, 3Massachusetts General Hospital, Charlestown, MA, United States |
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We developed an automated advanced-single-voxel MRS acquisition protocol at 3T to facilitate acquisition of high-quality spectroscopic data without local MRS expertise. Voxel-based B0 and B1 calibrations were incorporated into the consensus-recommended semi-LASER sequence and combined with automated voxel prescription. Automated B0 and B1 calibrations saved ~4.5min per voxel vs. manual calibrations. All spectra acquired with the automated protocol by rotating MR technologists were usable, while only 83% of those collected with the manual protocol were usable and spectral quality was more variable. The protocol allows automated acquisition of high-quality MRS data with high success rate on a clinical 3T platform. |
| 491
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15:42
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Smaller MRgFUS lesions that overlap patient-fit normative VIM—Precentral tracts improve Quality-of-Life outcomes in Essential Tremor |
| Yosef Chodakiewitz1, David Arnold Purger1, Alan Rehn Wang1, Daniel Barbosa1, Lior Lev Tov1, Anjali Datta1, Rachelle Bitton1, Jennifer McNab1, Vivek Buch1, and Pejman Ghanouni1 | ||
1Stanford University, Stanford, CA, United States |
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While Focused-Ultrasound thalamotomy has proven effective at reducing tremor, traditional targeting methods can be suboptimal at balancing primary tremor-reduction outcomes against undesired side-effects. The traditional “canonical” technique involves an indirect method which applies a non-individualized stereotactic coordinate atlas towards identifying the presumed approximate location of VIM thalamus, the ablation target; the canonical lesion is empirically grown in size based-on dynamic intraoperative feedback from an awake patient, until the surgeon judges that an appropriate balance of tremor-reduction and side-effect risk has been achieved. We propose optimized methods to define and monitor the ideal anatomical ablation for optimized tremor-reduction/Quality-of-Life balancing. |
| 492 | 14:30
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Inter-Rater Reliability of Fetal Lung Segmentation in High-Resolution Fetal Body Reconstructions |
| Kelly Payette1,2, Julia Geiger3, Michael Zellner3, Christian Kellenberger3, Ruth Tuura1, Raimund Kottke3, and Andras Jakab1,2 | ||
1Center for MR Research, University Children's Hospital Zurich, Zurich, Switzerland, 2Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland, 3Diagnostic Imaging and Intervention, University Children's Hospital Zurich, Zurich, Switzerland |
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Reliable measurements of the fetal lung volume are important for the prenatal assessment of various pathologies impacting fetal lung development. Here we compare the inter-rater reliability of fetal lung volume measurements segmented from native ssFSE scans to those from high-resolution fetal body reconstructions to determine if the high-resolution reconstructions provide a clinical benefit. We find that there is increased reliability in the volumes segmented from the high-resolution reconstructions, suggesting that high resolution reconstruction of the fetal lungs may enable more precise assessments of fetal lung volume. |
| 493
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14:42
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Inter- & Intra-visit Reproducibility of Free-Breathing Magnetic Resonance Imaging in Pediatric Cystic Fibrosis Lung Disease |
| Samal Munidasa1,2, Brandon Zanette1, Marcus Couch1,2,3, Robert Grimm4, Ravi Seethamraju5, Marie-Pier Dumas6, Wallace Wee6, Jacky Au6, Sharon Braganza1, Daniel Li1, Felix Ratjen1,6, and Giles Santyr1,2 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Siemens Healthcare Limited, Montreal, QC, Canada, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5MR Collaborations North East, Siemens Healthineers, North East, NY, United States, 6Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada |
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Free-breathing lung MRI has been shown to be a responsive measure to CF pulmonary exacerbations treatments but have not been used to track stable disease progression longitudinally. In this study we determined the intra- and inter-scan reproducibility of free-breathing lung MRI in healthy and stable pediatric CF across 2 visits and compared to hyperpolarized Xenon MRI (Xe-MRI). Xe-MRI and free-breathing lung show a high intra-scan reproducibility in stable CF subjects, but free-breathing lung MRI showed a low inter-scan reproducibility. However, free-breathing lung MRI significantly correlated with Xe-MRI suggesting that it may be an alternative to expensive, and less wide-spread Xe-MRI. |
| 494 | 14:54
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Assessment of Lung Ventilation and Perfusion of Premature Infants at 1.5 Tesla Using Phase-Resolved Functional Lung (PREFUL) MRI in the NICU |
| Jonathan P Dyke1, Andreas Voskrebenzev2,3, Lauren P Blatt4, Jens Vogel-Claussen2, Robert Grimm5, Jeffrey P Perlman4, and Arzu Kovanlikaya1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 3Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 4Pediatrics, Weill Cornell Medicine, New York, NY, United States, 5Siemens Healthineers, Erlangen, Germany |
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The purpose of this study was to evaluate quantitative measures of lung function in premature newborns using (PREFUL) MRI on a 1.5 Tesla scanner located within the neonatal intensive care unit (NICU). MRI can non-invasively assess ventilation and perfusion defects in the infant lung without sedation, ionizing radiation or contrast administration. We performed (PREFUL) MRI in 6 neonates [5 preterm/1 term] without respiratory distress to assess lung function in this normal population. Continuation of this work may allow clinicians to quantitatively assess response to treatment in this vulnerable population with respiratory distress. |
| 495
|
15:06
|
4D free-breathing variable density stack-of-stars functional MR urography in young children without sedation: A clinical feasibility study |
| Jakob Spogis1, Christoph Katemann2, Shuo Zhang2, Ilias Tsiflikas1, Michael Esser1, and Jürgen Schäfer1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany, 2Philips GmbH Market DACH, Hamburg, Germany |
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High-quality magnetic resonance urography (MRU) is clinically valuable to provide a comprehensive evaluation of the renal function and urinary tract in children without ionizing radiation. However, respiration-related patient motion remains a major challenge that impairs diagnostic image quality and hampers an accurate quantitative analysis. In this study, we adopt a novel high temporospatial resolution dynamic-contrast-enhanced (DCE) MRI technique based on 3D radial stack-of-stars gradient-echo sequence acquisition in combination with elliptical variable density k-space scheme for morphological and quantitative MRU and demonstrate its motion robustness in small children in free breathing without sedation. |
| 496 | 15:18
|
Ablative Efficacy of MR-guided Focused Ultrasound in Pediatric Patients: A Retrospective Study |
| Ali B Syed1, Suzanna Ackroyd1, Daniel Duex1, Victoria Young1, Shreyas Vasanawala1, Pejman Ghanouni1, and Avnesh Thakor1 | ||
1Radiology, Stanford University, Palo Alto, CA, United States |
||
Performance of MRgFUS in pediatric patients has not been well characterized. Retrospective review of 21 MRgFUS treatments in 9 patients below the age of 18 shows significant reduction in viable tumor volume in a variety of indications including desmoid tumors, vascular malformations, and osteoid osteoma. MRgFUS is an effective ablative therapy in children that warrants further investigation. |
| 497 | 15:30
|
The spatiotemporal organization of cortical microstructural development in children and adolescents with diffusion MRI |
| Kirsten Mary Lynch1, Ryan P Cabeen1, and Arthur W Toga1 | ||
1USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, United States |
||
Neocortical maturation is a dynamic process that proceeds in a hierarchical manner; however, the spatiotemporal organization of cortical microstructure with diffusion MRI has yet to be fully defined. This study characterized cortical microstructural maturation using fwe-DTI and NODDI in a cohort of 637 children and adolescents between 8 and 21 years of age. We found heterogeneous developmental patterns broadly demarcated into frontal, temporal and occipitoparietal domains where NODDI metrics increased and fwe-DTI metrics decreased with age. Our findings corroborate previous histological and neuroimaging studies that show spatially-varying patterns of cortical maturation that may reflect unique developmental processes of cytoarchitectonically-determined regions. |
| 498 | 14:30
|
Characterization of cardiac noise in brain quantitative relaxometry MRI data |
| Quentin Raynaud1, Jérôme Yerly2,3, Ruud B. van Heeswijk2, and Antoine Lutti1 | ||
1Clinical Neuroscience, Laboratory for Research in Neuroimaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Center for Biomedical Imaging, Lausanne, Switzerland |
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Cardiac-related noise reduces the sensitivity of relaxometry data to brain microstructure properties such as iron or myelin concentration. To address this effect, we aim to characterize cardiac pulsation effects in in-vivo data. We combined a Cartesian pseudo-spiral sampling trajectory with compressed sensing image reconstruction using a temporal total variation regularization to obtain 3D multi-echo images at 12 points of the cardiac cycle. We show that 76% of the full k-space is required in each cardiac bin to maintain 90% of voxels above a 60% sensitivity to physiological noise in the reconstructed images. |
| 499
|
14:42
|
NLINV-Net: Self-Supervised End-2-End Learning for Reconstructing Undersampled Radial Cardiac Real-Time Data |
| Moritz Blumenthal1, Guanxiong Luo1, Martin Schilling1, Markus Haltmeier2, and Martin Uecker1,3,4 | ||
1University Medical Center Göttingen, Göttingen, Germany, 2Department of Mathematics, University of Innsbruck, Innsbruck, Austria, 3Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 4DZHK (German Centre for Cardiovascular Research), Göttingen, Germany |
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In this work, we propose NLINV-Net, a neural network architecture for jointly estimating the image and coil sensitivity maps of radial cardiac real-time data. NLINV-Net is inspired by NLINV and solves the non-linear formulation of the SENSE inverse problem by unrolling the iteratively regularized Gauss-Newton method, which is improved by adding neural network based regularization terms. NLINV-Net is trained in a self-supervised fashion, which is crucial for cardiac real-time data which lack any ground truth reference. NLINV-Net significantly reduces noise and streaking artifacts compared to reconstructions using plain NLINV. |
| 500 | 14:54
|
Estimating Noise Propagation of Neural Network Based Image Reconstructio Using Automated Differentiation |
| Xiaoke Wang1, Danial Ludwig2, Michael Rawson2, Radu V Balan2, and Thomas Ernst1 | ||
1Diagnostic Radiology, University of Maryland-Baltimore, Baltimore, MD, United States, 2Mathematics, University of Maryland-College Park, College Park, MD, United States |
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Image reconstructions involving neural networks (NNs) are generally non-iterative and computationally efficient. However, without analytical expression describing the reconstruction process, the compuation of noise propagation becomes difficult. Automated differentiation allows rapid computation of derivatives without an analytical expression. In this work, the feasibility of computing noise propagation with automated differentiation was investigated. The noise propagation of image reconstruction by End-to-end variational-neural-network was estimated using automated differentiation and compared with Monte-Carlo simulation. The root-mean-square error (RMSE) map showed great agreement between automated differentiation and Monte-Carlo simulation over a wide range of SNRs. |
| 501 | 15:18
|
EigenMRI: Data-driven shallow-learning reconstruction of undersampled MRI data |
| Ricardo Otazo1,2, Ramin Jafari1, and Masoud Zarepisheh1 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Machine learning, and specifically deep learning, has recently demonstrated high-performance reconstruction of undersampled k-space data. However, training of deep learning reconstruction methods does not take advantage of the thousands of previously acquired images that are stored in clinical databases. Inspired by the eigenfaces method from computer vision, where an image model derived from thousands of pre-existing images is used to identify new faces, this work presents an image reconstruction method named EigenMRI that learns a data-driven regularization approach using thousands of images extracted from a clinical database to reconstruct 3D brain images with 2D acceleration |
| 502 | 15:30
|
MR Image Reconstruction via Zero-Shot Learned Generative Adversarial Transformers |
| Salman Ul Hassan Dar1,2, Yilmaz Korkmaz1,2, and Tolga Cukur1,2,3 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Neuroscience Program, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey |
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Deep neural network models have demonstrated state-of-the-art performance in MR image reconstruction. These models require information regarding imaging operators during training, which limits their generalization. A recent framework is based on zero-shot learned generative models that learn MR image priors during training and couple imaging operator during inference on test acquisitions. Such models are however based on convolutional architectures that suffer from sub-optimal capture of long range dependencies. Here, we propose a novel architecture based on zero-shot learned generative adversarial transformers that enables efficient capture of long range dependencies via cross-attention transformers while removing reliance on imaging operator during training. |
| 503
|
14:30
|
SNR-efficient SSFP with k-space aliasing |
| Peter J Lally1,2, Ben Statton3, Paul M Matthews1,4, Mark Chiew5, Karla L Miller5, and Neal K Bangerter6 | ||
1Department of Brain Sciences, Imperial College London, London, United Kingdom, 2UK Dementia Research Institute Centre for Care Research and Technology, London, United Kingdom, 3MRC London Institute of Medical Sciences, Imperial College London, London, United Kingdom, 4UK Dementia Research Institute Centre at Imperial College London, London, United Kingdom, 5Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 6Department of Bioengineering, Imperial College London, London, United Kingdom |
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Steady state free precession (SSFP) imaging with unbalanced gradients (e.g. FISP, PSIF, DESS) causes aliasing in k-space which is often overlooked, or at best, minimised with large spoilers. Here we exploit this phenomenon and use the aliased signals to increase the SNR-efficiency of SSFP imaging. |
| 504 | 14:42
|
Nonlinear encoding scheme design for gradient-free projection imaging in an inhomogeneous Bo at low-field |
| Kartiga Selvaganesan1, Yonghyun Ha2, Gigi Galiana2, and Todd Constable2 | ||
1Biomedical Engineering, Yale University, New Haven, CT, United States, 2Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States |
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Gradient-free imaging at low-fields can significantly reduce the cost of and increase access to MRI devices. Here we propose to exploit the Bloch-Siegert shift effect to perform gradient-free, RF spatial encoding at 24mT. We have developed a simulation algorithm that designs various nonlinear encoding schemes and evaluates their performance through image reconstruction. Our results indicate that this technique is tolerant to noise and B0 inhomogeneities; this is an important step towards demonstrating the feasibility of performing low-field imaging with nonlinear RF spatial encoding using the Bloch-Siegert shift. |
| 505 | 14:54
|
Ultra-high field done ultra-fast: Enhancing Wave-CAIPI using an single-axis insert head gradient |
| Thomas Roos1,2,3, Edwin Versteeg1, and Jeroen Siero1 | ||
1Highfield research group, University Medical Center Utrecht, Utrecht, Netherlands, 2Delft University of Technology, Delft, Netherlands, 3Spinoza Centre for Neuroimaging, Amsterdam, Netherlands |
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Acceleration techniques like SENSE have enabled significant decreases in scan time, but the $$$G$$$-factor penalty on SNR limits attainable accelerations. Simulations and 7T phantom & in-vivo acquisitions show significant improvements in $$$G$$$-factor when using Wave-CAIPI, especially when utilizing the higher performance of the insert gradient.
|
| 506 | 15:06
|
Design and Analysis of Field-of-View Independent k-space Trajectories for Magnetic Resonance Imaging |
| Tobias Speidel1, Patrick Metze1, Kilian Stumpf1, Thomas Hüfken1, and Volker Rasche1 | ||
1Internal Medicine II, Ulm University Medical Center, Ulm, Germany |
||
The calculation of k-space trajectories in MRI usually involves prior knowledge of the FOV, since the desired FOV defines a minimum k-space sampling density. The reconstruction of a FOV, which is larger than what is represented by the primary sampling density, is equal to undersampling in k-space. Arising artefacts are strictly dependent on the underlying k-space trajectory which leads to advantages for k-space trajectories with low-coherent aliasing properties also for the combination with non-linear reconstruction techniques.Based on a generalised form of the Seiffert Spirals, this abstract describes a k-space trajectory that does not require prior commitment to an imaging FOV. |
| 507 | 15:18
|
Volumetric T2-Weighted Spin-Echo MRI with Improved SNR Using Localized Quadratic Encoding |
| Dahan Kim1, Dinghui Wang1, Tzucheng Chao1, and James G Pipe1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States |
||
T2-weighted imaging typically employs either TSE or multi-pass 2D SE acquisitions, but using a thick slice and/or a slice gap is often necessary to overcome SNR inefficiencies of these methods, to achieve high-resolution scans in reasonable scan time. We studied efficient T2-weighted SE technique which employed localized quadratic encoding to realize SNR-efficient slice encoding scheme that produced contiguous volumetric coverage. Combined with long-readout spiral acquisitions, the proposed method, a hybrid of 2D and 3D imaging, demonstrated the expected SNR benefit compared to standard 2D scans and produced T2-weighted images with SNR equivalent as 2D-TSE scans but with larger, contiguous coverage. |
| 508 | 15:30
|
Prepolarized MRI of Hard Tissues and Solid-State Matter |
| Jose Borreguero Morata1, Jose Manuel González Hernández1, Eduardo Pallás Lodeiro2, Juan Pablo Rigla Pérez1, Jose Miguel Algarín Guisado2, Rubén Bosch Esteve1, Fernando Galve Conde2, Daniel Grau Ruíz1, Rubén Pellicer Guridi2, Alfonso Ríos Alonso1, Jose María Benlloch Baviera2, and Joseba Alonso2 | ||
1Tesoro Imaging S.L., Valencia, Spain, 2MRI-lab, Institute for Molecular Imaging and Instrumentation (i3M), Spanish National Research Council (CSIC) and Universitat Politècnica de València (UPV), Valencia, Spain |
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Prepolarized Magnetic Resonance Imaging is a long established technique conceived to counteract the loss in signal strength inherent to low field MRI systems. When it comes to hard biological tissues and solid state matter, PMRI is severely restricted by their ultra short characteristic relaxation times. Here we demonstrate that hard tissue prepolarization is possible with a 0.26 T scanner designed for dental MRI. These results can be applied to clinical dental imaging, making low field PMRI scanners a possible replacement for hazardous X ray systems. |
| 509 | 14:30
|
Separating Tissue Components in Ex-vivo Mouse Brain with Joint Diffusion-Relaxation MRI and InSpect |
| Paddy J. Slator1, Noam Shemesh2, and Andrada Ianus2 | ||
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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We identify and map intra-voxel tissue components in the mouse brain by applying InSpect, a data-driven approach for quantitative MRI analysis, to high resolution ex-vivo T2-diffusion MRI. Our approach reveals distinct tissue microenvironments with minimal model assumptions, revealing features that cannot be seen in diffusion kurtosis maps. |
| 510 | 14:42
|
Phase-based 3D diffusion mapping using RF phase-modulated gradient echo imaging |
| Daiki Tamada1 and Scott B. Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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A novel 3D diffusion mapping method using RF phase-modulated gradient echo imaging was developed by encoding diffusion weighting into signal phase. We developed closed form signal equations based on configuration theory. A four-pass acquisition and lookup table-based reconstruction is performed to estimate diffusion and T2 simultaneously. Simulation results revealed excellent agreement of signal magnitude and phase between Bloch equation and the developed equations. Phantom and in vivo studies demonstrated the feasibility of the proposed approach. These results demonstrate that the proposed method can enable qualitative and quantitative diffusion imaging with smaller gradient amplitude compared to the conventional diffusion-weighted imaging. |
| 511 | 14:54
|
DEXSY can measure water exchange linked to cellular homeostasis and active states in central nervous system tissue |
| Nathan H. Williamson1,2, Rea Ravin1, Teddy X. Cai1,3, Melanie Falgairolle4, Michael J. O'Donovan4, and Peter J. Basser1 | ||
1National Institute of Child Health and Human Development, Potomac, MD, United States, 2National Institute of General Medical Sciences, Potomac, MD, United States, 3Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford, United Kingdom, 4National Institute of Neurological Disorders and Stroke, Potomac, MD, United States |
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We propose a new functional MR method based on steady-state transmembrane water exchange rate measurements with diffusion exchange spectroscopy (DEXSY). Rapid DEXSY methods are implemented on a low-field MR system with a strong static gradient to test for an active component of water exchange in ex vivo neonatal mouse spinal cords. Temperature-dependent Arrhenius activation energies for water exchange are significantly greater in viable “live” samples than in the same samples after fixation, suggesting a connection to ATP-driven enzymatic processes. Moreover, exchange rates in live samples significantly decrease after blocking Na+/K+-ATPase pump activity, revealing an active component of water exchange. |
| 512 | 15:06
|
qModeL: A Model-based Deep Learning Framework for the Recovery of Diffusion-based Microstructural Parameters from Healthy and Lesion Data |
| Merry Mani1, Baolian Yang2, Girish Bathla1, Vincent Magnotta1, and Mathews Jacob1 | ||
1University of Iowa, Iowa City, IA, United States, 2GE Healthcare, Waukesha, WI, United States |
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A flexible deep learning based framework is presented for the recovery of microstructural parameter maps from advanced diffusion models. The method is shown to work well across field strengths, and healthy and diseased tissue without needing separate training of the DL network. The DL framework is embedded in a model-based reconstruction, which enables the framework to handle variations in data acquisition settings such as various acceleration factors and noise levels, without having to change the network. k-q accelerations in the range of 12-18 fold is demonstrated for single and multi-shell diffusion data. |
| 513 | 15:18
|
Gray matter microstructure imaging by b-tensor encoding at high b-values and high spatial resolution |
| Geraline Vis1, Nicola Spotorno2, Björn Lampinen1, Filip Szczepankiewicz1, and Markus Nilsson1 | ||
1Department of Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden, 2Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden |
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Studying gray matter microstructure with dMRI is challenging because of partial volume effects and high orientation dispersion. In this work, we propose a novel method that combines spherical b-tensor encoding, strong diffusion weighting and super-resolution reconstruction to perform high-resolution microstructure imaging of gray matter. We map the tissue mean diffusivity and the microscopic anisotropy which, by their design, are unaffected by partial volume effects and intra-voxel orientation dispersion. We demonstrate the approach in human brain in vivo at a resolution of 1.4 mm isotropic. |
| 514
|
15:30
|
Fast acquisitions for mean kurtosis and microscopic fractional anisotropy |
| Santiago Coelho1, Filip Szczepankiewicz2, Els Fieremans1, and Dmitry S. Novikov1 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University, School of Medicine, New York, NY, United States, 2Department of Diagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden |
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We propose two acquisition protocols that minimize the number of directions needed for estimating MD, FA, MK, and $$$\mu$$$FA. Using symmetric trace-free decompositions of the diffusion, kurtosis, and covariance tensors, we design acquisitions that cancel unnecessary tensor elements, thereby reducing the number of directions needed to generate the maps. Our protocols consist of $$$3b_1+6b_2=9$$$ DWIs for MD+MK in a 1-minute scan, and $$$6b_1^\text{LTE}+6b_2^\text{LTE}+3b_{1.5}^\text{STE}=15$$$ DWIs for MD+FA+MK+$$$\mu$$$FA in a 2-minute scan. We show the feasibility of these approaches on a healthy volunteer. |
| 515 | 15:42
|
Correlation Tensor MRI reveals dynamic changes in diffusion kurtosis sources along stroke progression |
| 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, Portugal |
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Correlation Tensor Imaging is emerging as a novel methodology for resolving diffusional kurtosis sources. Here, we decouple the anisotropic (Kaniso), isotropic (Kiso), and microscopic kurtosis (μK) sources and map them along the progression of experimental ischemia. Our results indicate that μK and Kaniso, associated with cross sectional variance (tentatively associated with neurite beading) and Kiso, likely reflecting edema formation, are pivotal markers for pathology. Our findings are promising for more specific characterizations of stroke lesions and a better understanding of tissue injury. |
| 516 | 15:54
|
Oscillating Gradient (OGSE) and Microscopic Anisotropy Diffusion in the in vivo and ex vivo Marmoset Brain |
| Tales Santini1, Naila Rahman1, Alyson Shim1, Wataru Inoue1, Stefan Everling1, and Corey Baron1 | ||
1Western University, London, ON, Canada |
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We investigated OGSE and μFA diffusion techniques for the first time in the common marmoset (Callithrix jacchus) brain, which revealed comparable values to those found in humans. The same animal was scanned in vivo and after fixation of the brain, allowing comparison of in vivo and ex vivo OGSE and μFA parameters for the first time in marmosets. There were differences in kurtosis, μFA, and μA that may be caused by slight neurite beading and tissue shrinkage during perfusion/fixation, and temperature differences. |
14:30
|
Neurofluid Circulation in the CNS | |
| Mai-Lan Ho | ||
| Nationwide Children’s Hospital | ||
14:50
|
Mapping Water Exchange Across BBB & BCSFB | |
| Jack Wells | ||
| University of College London, United Kingdom | ||
15:10
|
Choroid Plexus Perfusion Imaging | |
| Manus Donahue | ||
| Vanderbilt University | ||
15:30
|
In Vivo Imaging of Glymphatic System with Dynamic Contrast MRI | |
| Swati Rane Levendovszky | ||
| University of Washington | ||
15:50
|
Optimization of DSC & DCE MRI for the Measurement of Gd Induced Dynamic Signal Changes in the CSF | |
| Jun Hua | ||
| Johns Hopkins University | ||
16:10
|
Automated Perivascular Space Identification & Application to Clinical Populations | |
| Ben Sinclair | ||
14:30
|
The Impact & Implication of ¹H fMRS to the MRS Field | |
| Jeffrey Stanley | ||
| Wayne State University | ||
14:50
|
Deuterium Labeling Enables Noninvasive 3D Proton MR Imaging of Glucose & Neurotransmitter Metabolism in Humans | |
| Petr Bednarik | ||
| Medical University of Vienna | ||
15:10
|
In Silico Models to Bridge the Gap Between Synaptic Activity & Human in Vivo Quantification of Neurotransmitter Dynamics | |
| Caroline Lea-Carnall | ||
| The University of Manchester | ||
15:30
|
Panel Discussion | |
| Assaf Tal1, Nathalie Just2, Paul Mullins3, Charlotte Stagg4 | ||
| Weizmann institute of science1, Danish Research Centre for Magnetic Resonance2, Bangor University3, Oxford University, United Kingdom4 | ||
15:50
|
Using all the Information: Fitting Functional MRS with a GLM | |
| William Clarke | ||
| Oxford University | ||
16:10
|
MP-PCA Denoising: A Boost for fMRS Spatio-Temporal Resolution? | |
| Ileana Jelescu | ||
| École polytechnique fédérale de Lausanne | ||
16:30
|
Power Pitch Presentations |
16:45
|
Physiology of Intracranial Flow & Pressure | |
| Marek Czosnyka 1 | ||
1University of Cambridge, Cambridge, United Kingdom |
||
Cerebrospinal Fluid (CSF) flows continuously within all cavities of cerebrospinal space. Flow is slow, approximately 2000 times slower than Cerebral Blood Flow (CBF). Dynamic relationship between CBF and CSF circulation is complex, and involves basic physiological mechanism like cerebrovascular resistance, compartmental compliances, autoregulation of CBF, vascular impedance and critical closing pressure (CrCP). Proper functioning of CSF flow pathway is guaranteed by matching CSF production to absorption rate. This part of CSF steady circulation is easy to describe in a form of Davson's equation. Apart of circulation CSF displays some pulsatiles movments, which may be investigated using PCMRI. |
17:15
|
Measuring Intracranial Flow & Pressure | |
| Anders Wåhlin1 | ||
1Umeå University, Umeå, Sweden |
||
We are now beginning to understand how intracranial pressure gradients, and intracranial pressure transients, propel the cerebrospinal fluid circulation and contributes to cerebrospinal fluid-based brain clearance. This talk reviews approaches to study cerebrospinal fluid flow and pulsatility across different frequency regimes of relevance (bulk flow, respiration, cardiac) and characterize the interplay between intracranial vascular and cerebrospinal fluid compartments. Special attention is devoted to the prospect of non-invasively measuring intracranial pulse pressure and pressure. |
17:45
|
Normal-Pressure Hydrocephalus | |
| Madoka Nakajima1 | ||
1Neurosurgery, Juntendo University, Minato-ku, Japan |
||
Idiopathic normal pressure hydrocephalus (iNPH) is a condition resulting from impaired cerebrospinal fluid (CSF) absorption and secretion characterized by a triad of symptoms comprising dementia, gait disturbance (impaired trunk balance), and urinary incontinence. The symptoms of iNPH can be reversed by improving CSF turnover through shunting. However, early diagnosis is essential as once neurodegeneration has progressed, pathological changes become irreversible and symptom improvement is minimal, even after shunting. Combining a variety of diagnostic methods may lead to a more definitive diagnosis and accurate prediction of the prognosis following shunt treatment. |
18:15
|
Advances in Imaging Spontaneous Intracranial Hypotension | |
| John C. Benson1 and John Port2 | ||
1Mayo Clinic, Rochester, MN, United States, 2Mayo Clinic, Rochester, ME, United States |
16:45
|
Functional Connectomics: State-of-the-Art Developments in Methodologies & Analysis Techniques | |
| Li-Wei Kuo1 | ||
1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan |
||
In this educational talk, I will introduce the methodologies and analysis approaches of functional MRI (fMRI) data for mapping the functional connectomics. The methods to calculate the functional connectivity using resting-state or task-based fMRI data and how it can be used for deriving the brain network metrics using graph theoretical analysis or other computational methods will be reviewed. Furthermore, recent technological advances for mapping the functional connectomics and their use on clinical and cognitive neuroscience applications will be also introduced and discussed. |
17:15
|
Neural Basis of Functional Connectomics: Insights from Animal Models & Human Brains | |
| Zhifeng Liang1 | ||
1zliang@ion.ac.cn, China |
||
Resting-state fMRI and resting-state functional connectivity have been widely utilized for more than two decades. However, the neural basis of functional connectivity remains an open question. In this talk, we will first review techniques that can be utilized to address this issue, such multimodal fMRI and optical imaging methods. Next we will review the neural basis of spontaneous hemodynamic signals at the local level, and then the neural basis of long-range functional connectivity. Importantly, we will further discuss how arousal states and the neuromodulatory system further complicates our understanding of the neural basis of functional connectivity. |
17:45
|
Bridging the Gap in Functional Connectomics Research: From basic Science to Clinical Studies | |
| Shella Keilholz1 | ||
1Emory University, United States |
||
Resting state fMRI studies in humans can be difficult to interpret because the BOLD signal is affected by neural activity, metabolism, and hemodynamics. Multimodal preclinical studies in rodents can guide the interpretation of resting state fMRI studies in humans. This educational course will describe features of rs-fMRI that are conserved across species, compare and contrast acquisition and analysis methods, and describe tools that can be used for investigating the neurophysiology behind rs-fMRI in rodents. |
18:15
|
Opportunities & Challenges in the Rapidly Evolving Landscape of Functional Connectomics Research | |
| Peter Zeidman1 | ||
1University College London, London, United Kingdom |
| 517 | 16:45
|
Automated Superstructure-based Segmentation of Ascending Arousal Network Nuclei for Diffusion Tractography |
| Mark D Olchanyi1,2,3, Brian L Edlow1,4, Emery N Brown2,3,5,6, and Juan E Iglesias 4,7,8 | ||
1Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 2Neurostatistics Research Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 5Picower Institute, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 7Centre for Medical Image Computing, University College London, London, United Kingdom, 8Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States |
||
Traumatic brain injury that causes sheering of white matter pathways that connect ascending arousal network (AAN) nuclei in the rostral brainstem to cortical and subcortical targets leads to disorders of consciousness. Connectivity studies involving these nuclei are limited due to their small size, vague boundaries, and lack of reliable annotations. We present a method to automatically segment AAN nuclei from diffusion MR volumes using image registration constrained by brainstem structures with definable contrast boundaries. We test AAN segmentation robustness with probabilistic tractography and provide new insights into connectivity between AAN nuclei and the thalamus. |
| 518 | 16:57
|
Short superficial U-fiber systems and aging: a longitudinal diffusion MRI study |
| Kurt G Schilling1, Derek Archer2, Fang-Cheng Yeh3, Francois Rheault2, Leon Y Cai2, Timothy Hohman2, Andrea T Shafer4, Susan M Resnick4, Angela Jefferson2, Adam W Anderson2, Hakmook Kang2, and Bennett A Landman2 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States, 3University of Pittsburgh Medical Center, Pittsburg, PA, United States, 4National Institute on Aging, Baltimore, MD, United States |
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Superficial U-fiber systems are understudied using diffusion tractography, despite making up a majority of the white matter connections. Here, we used a large, longitudinal dataset from the Baltimore Longitudinal Study of Aging, in combination with innovations in U-fiber tractography dissection, to study U-fiber systems in an aging population. We characterize microstructural features, and for the first time, macrostructural features of length and volume, and find significant associations with age. Characterizing what changes occur, and where they occur, in U-fiber systems will complement traditional long-range tractography research to better understand the biological mechanisms of normal aging. |
| 519
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17:09
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Tractography protocols for the neonatal brain, standardised against the adult human and macaque |
| Shaun of Warrington1, Elinor Thompson1, Jessica Dubois2, Luke Baxter3, Rebeccah Slater3, Rogier B Mars4,5, Saad Jbabdi4, Matteo Bastiani1, and Stamatios N Sotiropoulos1,4,6 | ||
1Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2University of Paris, Inserm, NeuroDiderot Unit; University Paris-Saclay, CEA, NeuroSpin center, Paris, France, 3Department of Paediatrics, University of Oxford, Oxford, United Kingdom, 4Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 5Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Nijmegen, Netherlands, 6National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom |
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The neonatal brain undergoes rapid development in the months after birth. Diffusion tractography is a unique method for probing developing white matter connections. We present a novel and comprehensive library of tractography protocols for the neonatal brain, whilst ensuring correspondence with previously developed protocols for the adult and macaque brain. We demonstrate protocol robustness across data quality and show that the resultant tracts capture a-priori known trends in white matter microstructure. We show that these protocols open avenues for quantitative comparisons across the lifespan, but also species, which we exemplify by revealing developmental trends in connectivity patterns.
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| 520 | 17:21
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Longitudinal associations between blood biomarkers and white-matter MRI in sport-related concussion: A study of the NCAA-DoD CARE Consortium |
| Yu-Chien Wu1, Qiuting Wen2, Jessica Gill3, Rhea Thukral4, Sujuan Gao5, Kathleen Lane5, Timothy Meier6, Larry Riggen5, Jaroslaw Harezlak7, Christopher Giza8, Joshua Goldman9, Kevin Guskiewicz10, Jason Mihalik 10, Stephen LaConte11, Stefan Duma12, Steven Broglio13, Andrew Saykin2, Thomas McAllister14, and Michael McCrea6 | ||
1Department of Radiology and Imaging Sciences, Department of RadioIndiana University School of Medicine, Indianapolis, IN, United States, 2Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 3National Institute of Health, Bethesda, MD, United States, 4Department of Radiology, Indiana School of Medicine, Indianapolis, IN, United States, 5Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States, 6Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 7Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, United States, 8Department of Neurosurgery, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, United States, 9Family Medicine, Ronald Reagan UCLA Medical Center, UCLA Health - Santa Monica Medical Center, Los Angeles, CA, United States, 10Department of Exercise and Sport Science, Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center, Chapel Hill, NC, United States, 11School of Biomedical Engineering and Sciences, Wake-Forest and Virginia Tech University, Roanoke, VA, United States, 12School of Biomedical Engineering and Sciences, Wake-Forest and Virginia Tech University, Blacksburg, VA, United States, 13NeuroTrauma Research Laboratory, Michigan Concussion Center, University of Michigan, Ann Arbor, MI, United States, 14Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States |
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White matter structural changes occur when an athlete experiences a concussion. To determine if serum biomarkers are a good concussion diagnosis, it seems prudent to associate white matter structural changes to longitudinal biomarker samples. Longitudinal blood biomarkers and DTI scanning from 77 collegiate athletes were collected across 3 timepoints and tested for associations. Tau was found to have the most significant associations. It was concluded that tau is the most sensitive for white-matter micro-structures. |
| 521
|
17:33
|
Validation of diffusion MRI-derived white matter microstructure metrics using 3D electron microscopy in injured rat brain |
| Ricardo Coronado-Leija1, Ali Abdollahzadeh2, Hong-Hsi Lee3, Santiago Coelho1, Raimo A Salo2, Jussi Tohka2, Alejandra Sierra2, Dmitry S Novikov1, and Els Fieremans1 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2University of Eastern Finland, Kuopio, Finland, 3Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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To validate the standard model of diffusion in white matter, we characterized injured rat brain microstructure using 3D EM and ex-vivo MRI. Using histology, we demonstrated that the rotational invariants $$$p_l$$$ of the fiber orientation distribution follow a power-law and that the axon diameter histogram is described well by a generalized extreme value distribution. Comparing 3D EM and dMRI, we found that the SM parameters correlate specifically with their histology counterpart, and revealed the specificity of the intra-axonal diffusivity to axonal beading in traumatic brain injury. |
| 522 | 17:45
|
First templates of human brain kurtosis sources: relevance of microscopic kurtosis from Correlation Tensor MRI at 3 Tesla |
| Lisa Novello1, Rafael Neto Henriques2, Andrada Ianuş2, Thorsten Feiweier3, Noam Shemesh2, and Jorge Jovicich1,4 | ||
1Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto (Trento), Italy, 2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Center for Medical Sciences - CISMeD, University of Trento, Rovereto (Trento), Italy |
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The Correlation Tensor MRI (CTI) framework has been recently formulated to disentangle anisotropic, isotropic, and microscopic kurtosis sources without a priori assumptions from Double-Diffusion-Encoding (DDE) data. In this work, group average maps (templates) are presented for the first time, thereby mapping the contrasts for anisotropic and isotropic kurtosis, and non-vanishing positive microscopic kurtosis in grey and white matter. The relative weight of the microscopic kurtosis within the total kurtosis, and the bias associated with neglecting this component under the Multiple Gaussian Component assumption are investigated and suggest that this component significantly contributes to the total diffusional kurtosis. |
| 523 | 17:57
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Accounting for covariance in studies of multimodal microstructure - a model for multivariate quantification in health and disease |
| Stefanie A Tremblay1,2, Amir Pirhadi3, Zaki Alasmar4, Felix Carbonell5, Yasser Iturria-Medina6,7,8, Claudine J Gauthier1,2, and Christopher J Steele4,9 | ||
1Physics, Concordia University, Montreal, QC, Canada, 2Montreal Heart Institute, Montreal, QC, Canada, 3Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada, 4Psychology, Concordia University, Montreal, QC, Canada, 5Biospective Inc., Montreal, QC, Canada, 6Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 7McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, QC, Canada, 8Ludmer Centre for NeuroInformatics and Mental Health, Montreal, QC, Canada, 9Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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Multivariate approaches have recently gained in popularity to address the physiological unspecificity of neuroimaging metrics and to better characterize the complexity of biological processes underlying behavior. However, approaches commonly used are biased by the covariance between variables. Here, we propose computing the voxel-wise Mahalanobis distance (MhD), as a measure of deviation from normality that accounts for covariance between metrics. We show that this measure can be linked to behavior and to potential physiological underpinnings by extracting metrics contributing most to the MhD. Integrative multivariate models are crucial to expand our understanding of the multiple factors underlying disease development and progression. |
| 524 | 18:09
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Sensitive Quantification of Hypomyelination and Axon g-ratio Using Ultra High Resolution 7T Multi-Echo Gradient Echo MRI with BSS-rPCA |
| Vladimir Grouza1,2, Hooman Bagheri3, Marius Tuznik1,2, Hanwen Liu1,2, Alan C Peterson2,3,4, and David A Rudko1,2,5 | ||
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 2Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 3Department of Human Genetics, McGill University, Montreal, QC, Canada, 4Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada, 5Department of Biomedical Engineering, McGill University, Montreal, QC, Canada |
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We investigated the application of blind source separation, robust principal component analysis (BSS-rPCA) for myelin water imaging in a panel of mice exhibiting varied myelination profiles. BSS-rPCA exhibited sensitivity to myelin as evidenced by region of interest (ROI) analysis of several white matter tracts as a function of hypomyelinating genotype. By combining BSS-rPCA with estimates of neurite orientation dispersion and density imaging (NODDI)-derived axon water fraction (AWF) maps, we conclude that BSS-rPCA is sensitive to variations in myelin content in the presence of stable axon density. |
| 525 | 16:45
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Along-tract quantification of the BOLD hemodynamic response function in white matter |
| Kurt G Schilling1, Muwei Li1, Francois Rheault2, Yurui Gao2, Zhaohua Ding2, Adam W Anderson2, Hakmook Kang2, Bennett A Landman2, and John C Gore1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States |
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We measured the variations of the BOLD hemodynamic response function (HRF) along white matter (WM) pathways. We find that the WM HRF is different to that of the gray matter (GM), and has a prominent negative dip and smaller peak signal. Further, we find that the HRF changes along WM pathways, and is different between pathways. Characterizing the variations of the WM HRF along and across pathways may provide insight into the biophysical basis of BOLD effects in WM and the relationships between WM structure and neurovascular coupling. |
| 526 | 16:57
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Tracking rapid stimulus-driven BOLD oscillations in the human primary motor cortex and somatosensory cortex |
| Shota Hodono1,2, Jonathan R Polimeni3,4, David Reutens1,2, and Martijn A Cloos1,2 | ||
1Centre for Advanced Imaging,The University of Queensland, Brisbane, Australia, 2ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States, 4Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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We investigated the observable frequency range of stimulus-driven BOLD oscillations in human M1 and S1. Experimental results showed that BOLD response oscillations up to 0.50 Hz can be measured in individual subjects. The responses were substantially higher than predicted using the canonical HRF model. Despite their |
| 527
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17:09
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Functional activities detected in the olfactory bulb and associated olfactory regions in the human brain using T2-prepared BOLD fMRI at 7T |
| Xinyuan Miao1,2, Adrian G. Paez1,2, Suraj Rajan3, Di Cao1,2,4, Dapeng Liu1,2, Alex Y. Pantelyat3, Liana I. Rosenthal3, Peter C.M. van Zijl1,2, Susan S. Bassett5, David M. Yousem6, Vidyulata Kamath5, and Jun Hua1,2 | ||
1Neurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Conventional EPI-based BOLD fMRI can be challenging in olfaction related brain regions, such as the olfactory bulb (OB), mainly due to the large susceptibility artifacts. To date, few studies have demonstrated successful fMRI in the human OB. T2-prepared (T2prep) BOLD fMRI is an alternative approach developed especially for reducing such susceptibility artifacts. Here, olfactory fMRI was performed at 7T in 14 healthy participants. T2prep-BOLD showed greater functional sensitivity than GRE-EPI-BOLD in the OB and associated olfactory regions. Habituation effects and a bi-phasic pattern of fMRI signal changes were observed using T2prep-BOLD, which showed a good intra-subject reproducibility. |
| 528
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17:21
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Negative BOLD closely follows neuronal suppression in superior colliculus |
| Rita Gil1, Mafalda Valente1, Alfonso Renart1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon PT, Lisbon, Portugal |
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The underlying sources of negative BOLD responses (NBRs) are still debated. Here, we show rat superior colliculus (SC) NBRs associated with visual stimulation at short inter-stimulus intervals (ISIs) along with decreases in power of local field potentials and multi-unit activity signals measured in this region. This hints to neuronal suppression, possibly due to impossibility of complete excitability recovery upon short ISIs, associated with NBRs. Moreover, both NBRs and electrophysiological power time profiles reveal one peak after stimulus started and another when it ceased, highlighting the SC nature of detecting "brightness changes" when individual flashes are no longer perceivable. |
| 529 | 17:33
|
The Relative Contribution of the Vascular Architecture and Reactivity to the BOLD signal Formation |
| Emiel C.A. Roefs1, Wouter Schellekens1, Mario G. Báez-Yáñez1, Alex A. Bhogal1, Jeroen C.W. Siero1,2, and Natalia Petridou1 | ||
1Radiology department, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, 2Spinoza Center for Neuroimaging, Amsterdam, Netherlands |
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In this study, we investigate the vascular contribution to the BOLD signal by comparing purely non-neuronal-related changes in the BOLD signal induced by gas manipulations with neuronal-related hemodynamic changes in the BOLD signal for different vascular compartments. Different vascular compartments were targeted by employing gradient-echo and spin-echo in combination with cortical depth estimations and pial vein segmentations. Our findings suggest that the increase in macro-vascular baseline venous blood volume (CBVv0) is the main contributor to the large GE-BOLD signal increase towards the pial surface and that normalization for this CBVv0-dependence is possible using a hyperoxia breathing task. |
| 530 | 17:45
|
The relationship between cytochrome oxidase redox state and CBF is not constant: A multimodal 9.4T NIRS-MRI study on animal model |
| Mada Hashem1,2,3,4, Ying Wu2,3,4, and Jeff F. Dunn2,3,4 | ||
1Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada, 2Department of Radiology, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Experimental Imaging Centre, University of Calgary, Calgary, AB, Canada |
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Non-invasive imaging of cerebral oxygen delivery and consumption is crucial to understand neurovascular coupling and oxidative metabolism. We combine NIRS and MRI to determine the correlation between mitochondrial status and perfusion in the cortex of mice, when exposed to hypercapnia or varying oxygen levels. There was no correlation between perfusion and redox state under hypercapnia, while a strong correlation was observed under varying oxygen levels. This proves that the relationship between perfusion and mitochondrial redox can be quantified non-invasively in vivo. Such simultaneous measurements, in neurovascular diseases, will help determine whether there is abnormal neurovascular coupling or abnormal oxidative metabolism. |
| 531 | Pitch: 16:45 Poster: 16:47 Plasma 1
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Geometric and clinical evaluation of deep learning-based segmentation of individual lower limb muscles from patients with neuropathies |
| Marc-Adrien Hostin1,2, Augustin C. Ogier2, Constance P. Michel1, Yann Le Fur1, Maxime Guye1,3, Shahram Attarian4, Marc-Emmanuel Bellemare2, and David Bendahan1 | ||
1Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France, 2Aix Marseille Univ, Université de Toulon, CNRS, LIS, Marseille, France, 3APHM, Hopital Universitaire Timone, CEMEREM, Marseille, France, 4Centre de référence des maladies neuromusculaires et de la SLA, Marseille, France |
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Quantification of Fat Fraction (FF) in individual lower limb muscles of patients with neuromuscular disorders relies on segmentation. Few studies have indicated that Fully Convolutional Networks (FCNs) can provide reliable automatic segmentations to replace manual tasks. However, their sensitivity to fat infiltration has never been accurately assessed. Four FCN were benchmarked for the segmentation of 114 thigh and 108 calf images (1788 muscles) with FF up to 60%. HRNet was the only network that didn't show any segmentation failures. DSC obtained was comparable to other networks. The FF values calculated from the automatic (FFa) and manual (FFm) segmentations were consistent. |
| 532 | Pitch: 16:47 Poster: 16:49 Plasma 2
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Quantitative Assessment of Whole Knee Joint Using a New Phase Modulated Ultrashort Echo Time Adiabatic T1rho (PM-UTE-AdiabT1rho) Sequence |
| Yajun Ma1, Michael Carl2, Alan Bao1, Hyungseok Jang 1, Saeed Jerban1, Alecio F Lombardi 1, Christine B Chung 1, Eric Y Chang1,3, and Jiang Du1 | ||
1Radiology, University of California, San Diego, San Diego, CA, United States, 2GE Healthcare, San Diego, CA, United States, 3Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States |
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Adiabatic T1rho (AdiabT1rho) is much less sensitive to the magic angle effect compared to the regular continuous wave T1rho (CW-T1rho). In this study we developed a novel phase modulated ultrashort echo time adiabatic T1rho (PM-UTE-AdiabT1rho) sequence for quantitative assessment of both short and long T2 tissue components in the knee joint, including cartilage, meniscus, ligaments, tendons, and muscle, on a clinical 3T scanner. Our results showed excellent single exponential fitting for all the major tissue components in both ex vivo and in vivo normal knee joints. |
| 533 | Pitch: 16:49 Poster: 16:51 Plasma 3
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Accelerating IVIM and DTI for assessing microstructural changes after acute hamstring injury |
| Susanne Rauh1, Jithsa Monte2, Melissa Hooijmans2, Joep Suskens3, Oliver Gurney-Champion2, Johannes Tol3, Mario Maas2, Aart Nederveen2, and Gustav Strijkers1 | ||
1Department of Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, Netherlands, 2Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 3Department of Orthopedic Surgery, Amsterdam UMC, Amsterdam, Netherlands |
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DTI and IVIM are sensitive to hamstring injuries, but suffer from long scan times. Using b-values above a certain threshold only (high-b DTI) or a simplified IVIM approach (sIVIM-DTI), which estimates the perfusion fraction and diffusion tensor, can reduce the scan time while inherently correcting DTI-indices for IVIM effects. We showed in this work that those methods provide similar sensitivity to hamstring injuries in comparison to a full IVIM-DTI fit while reducing acquisition time up to 42%. Since no difference in perfusion fraction was found between injury states, we suggest high-b DTI is the method of choice in this application. |
| 534 | Pitch: 16:51 Poster: 16:53 Plasma 4
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Using machine learning to build a population model of tongue muscle architecture based on mDIXON and diffusion tensor imaging |
| Robert Lloyd1,2, Iain Ball3, and Lynne Bilston1,2 | ||
1Neuroscience Research Australia, Sydney, Australia, 2University of New South Wales, Sydney, Australia, 3Philips Australia & New Zealand, Sydney, Australia |
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Simulations of obstructive sleep apnoea (OSA) require detailed models of the muscle fibres within the tongue, to correctly capture the motion of the tongue. Diffusion weighted images (DWI) of the oral cavity were collected for 5 healthy controls. Fibre-orientation distributions (FOD) estimated from subject DWI, can resolve intersecting muscles in the tongue. The group averaged FOD reduced the influence of spurious peaks, which gave clearer boundaries between the intrinsic muscles of the tongue. These results may help fully automate the segmentation of the muscles within the tongue. |
| 535 | Pitch: 16:53 Poster: 16:55 Plasma 5
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3D-MR-Fingerprinting for Rapid Simultaneous T1, T2, and T1ρ Volumetric Mapping of the Human Articular Cartilage at 3T |
| Azadeh Sharafi1, Marcelo V. W. Zibetti1, Gregory Chang1, Martijn Cloos 2, and Ravinder Regatte1 | ||
1Radiology, NYU Langone Health, New York, NY, United States, 2University of Queensland, Brisbane, Brisbane, Australia |
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Conventional quantitative cartilage MRI (e.g., T1, T2, and T1ρ) approaches measure one single parameter at a time. Magnetic resonance fingerprinting (MRF) is a flexible, non-invasive measurement technique that simultaneously quantifies multiple MR parameters. In this work, we proposed a 3D-MRF sequence for the simultaneous volumetric acquisition of submillimetric proton density (PD) image and T1, T2, T1ρ, and B1+ maps of the knee cartilage in clinically feasible scan time (~11 minutes). |
| 536 | Pitch: 16:55 Poster: 16:57 Plasma 6
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On the robustness of single UTE-Dixon for simultaneous short T2*, water and fat imaging across skeletal anatomies |
| Sophia Kronthaler1, Georg C. Feuerriegel1, Christof Boehm1, Alexandra S. Gersing1, Benedikt J. Schwaiger2, Marcus R. Makowski1, Kilian Weiss3, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Department of Neuroradiology, Technical University of Munich, Munich, Germany, 3Philips GmbH Market DACH, Hamburg, Germany |
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In patients with vertebral fractures or degenerative changes often CT and MR imaging are performed, with CT aiming at the characterization of osseous changes and the MR focusing on soft tissue components. Previous work presented a single UTE-Dixon (sUTE-Dixon) approach which enabled the simultaneous assessment of vertebral fractures and edema of the thoracolumbar spine from a single ultrashort-echo time (UTE) image. This work investigates the robustness of the sUTE-Dixon methodology in various skeletal anatomies. |
| 537 | Pitch: 16:59 Poster: 17:01 Plasma 7
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FAI Bone Morphology Correlates with Increased T2 Relaxations Times in the Hip Cartilage of Female Water-Treading Athletes |
| Elka Rubin1, Joanna L Langner2, Marianne S Black2, Arjun D Desai2, James MacKay3, Carly Jones4, Kimberly E Hall2, Marc R Safran2, Feliks Kogan2, and Garry E Gold2 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Stanford University, Stanford, CA, United States, 3University of Easy Anglia, Norwich, United Kingdom, 4University of British Columbia, Vancouver, BC, Canada |
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Water polo players and synchronized swimmers have previously been found to have an increased prevalence of femoroacetabular impingement morphology compared to the general population. In this study, we used MRI to identify regional patterns in the microstructure of the hip cartilage and joint of high-level female water polo players and synchronized swimmers. Compared to healthy controls, the water-treading athletes had significantly higher T2 relaxation times in the right hip and a significantly higher prevalence of cam morphology in both hips. This study suggests that microstructural and morphological differences are present in these athletes’ hip cartilage compared to controls. |
| 538 | Pitch: 17:01 Poster: 17:03 Plasma 8
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Three dimensional multi-parameter quantification of inter-vertebral discs using magnetic resonance fingerprinting |
| Rajiv G. Menon1, Azadeh Sharafi1, and Ravinder R Regatte1 | ||
1Center for Biomedical Imaging, Grossman school of Medicine, NYU Langone Health, New York, NY, United States |
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Low back pain that have etiologies related to degenerative intervertebral(IVD) disc changes are difficult to diagnose and treat. Quantitative characterization of the lumbar spine IVD can potentially be useful in detecting early changes to the IVD. In this study a 3D-MR fingerprinting technique was employed that is capable of simultaneously quantifying four different parameters in a clinically feasible time. Five healthy subjects underwent lumbar spine 3D-MRF scans. The results demonstrate that 3D-MRF can simultaneously measure and generate T1, T2, T1ρ, and B1+ volumetric maps of lumbar spine in a single scan within clinically feasible scan time of about 10 minutes. |
| 539 | Pitch: 17:03 Poster: 17:05 Plasma 9
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Increasing-load leg extensions in supine position using a novel pneumatic ergometer for dynamic 1H and 31P NMR muscle evaluations at 3T |
| Alfredo Liubomir Lopez Kolkovsky1,2, Beatrice Matot1,2, Yves Fromes1,2, Eric Giacomini1, Pierre G Carlier3, Harmen Reyngoudt1,2, and Benjamin Marty1,2 | ||
1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France, 2NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France, 3University Paris-Saclay, CEA/DRF/SHFJ, Orsay, France |
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Evaluating quadriceps function is key in the context of sarcopenia. A pneumatic ergometer was built to allow performing knee extensions in supine position. An increasing-load, 13-min-long, isotonic exercise was successfully performed by volunteers during interleaved 1H MRI/1H MRS/31P MRS acquisitions in the quadriceps. Work, pedal displacement and velocity values per stroke and the maximum voluntary torque were measured with the ergometer. End-of-exercise [PCr] decreased (69±10%) and T2* increased (up to 10.5±7.2% in Rectus Femoris) relative to baseline. Simultaneous vascular, metabolic and physical effort evaluations during an incremental physical test could be a powerful method to investigate muscle quality in aging. |
| 540 | Pitch: 17:05 Poster: 17:07 Plasma 10
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Normative Baseline Analysis of Carpal Bone Kinematic Profiles Using 4D MRI |
| Kevin Koch1, Mohammad Zarenia1, V. Emre Arpinar1, and Rajeev Mannem1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States |
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4D-dynamic MRI were collected and utilized to track unconstrained movement of individual wrist carpal bones in 31 asymptomatic volunteer subjects. Rotational and translational trajectories of the scaphoid, lunate, and capitate bones were collected and processed using a novel multi-subject profile registration and analysis engine. Morphological images were analyzed by an expert radiologist to identify asymptomatic abnormalities within the cohort. Statistical parametric mapping of each profile was performed to identify normative variances of each profile metric and correlation with identified abnormalities. The study presents methodological approaches and normative baseline profile metrics of value to future studies of symptomatic wrists. |
| 541
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Pitch: 17:07 Poster: 17:09 Plasma 11
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Large-scale Analysis of Meniscus Morphology as Risk Factor to Incidence of Osteoarthritis |
| Kenneth T Gao1,2, Emily Xie1, Vincent Chen1, Francesco Caliva1, Claudia Iriondo1, Richard B Souza1, Sharmila Majumdar1, and Valentina Pedoia1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2University of California, Berkeley-University of California San Francisco Graduate Program in Bioengineering, Berkeley, CA, United States |
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While meniscal morphology is central to its capacity for weight distribution and stabilization in the knee joint, the relationship between the geometric shape of the meniscus and osteoarthritis is relatively unexplored. With 4,791 subjects from the Osteoarthritis Initiative, this study utilizes an automatic statistical shape modeling technique to identify variations in meniscus morphology as precursors to future development of osteoarthritis. Seven of the 20 shape features extracted were found to be significantly associated with osteoarthritis incidence. These features were further characterized with local changes in cartilage thickness across 8 years. |
| 542 | Pitch: 17:09 Poster: 17:11 Plasma 12
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Assessing muscle T2 in elderly men with osteosarcopenia |
| Lena V. Gast1, Oliver Chaudry2, Wolfgang Kemmler1,3, Michael Uder1, Armin M. Nagel1,4, and Klaus Engelke2,3 | ||
1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Department of Medicine 3, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Institute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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In addition to fat fraction (FF), muscular T2 could provide information on disease progression and potential training effects in osteosarcopenia, a combination of osteoporosis and sarcopenia. However, muscular T2 is highly dependent on the amount of muscle fat infiltration, which is usually increased in these patients. Thus, we aimed to assess T2 in thigh muscle tissue of elderly men with osteosarcopenia, comparing vendor-provided T2 maps with custom-fitted approaches also considering fat infiltration. We found highly elevated T2 values in the vendor-provided T2 maps compared to tri-exponentially fitted T2, which might lead to misinterpretation of muscle T2. |
| 543 | 16:45
|
1H-14N quadrupolar relaxation of protein backbones: a potential intracellular biomarker of glioma invasion |
| Hana Lahrech1, Manuel Petit1, Sandra Pierre1, Maxime Leclercq1, Lionel Marc Broche2, and François Berger1 | ||
1BrainTech Lab INSERM U1205, Grenoble, France, 2University of Aberdeen, Aberdeen, United Kingdom |
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In FFC-NMR, R1-dispersion curves of biological systems frequently show quadrupolar peaks (QP) between 1.5 and 3.5 MHz that correspond to the cross relaxation of water 1H and protein 14N. QP of glioma invasion tissues (Glio6 and Glio96 mouse models) and of high glioma proliferation (U87 model) were acquired ex vivo and compared to cell pellets in vitro, showing significant differences. This result suggests that QP signals are intracellular, a result which was confirmed by measurements of cells after trypsin treatment which showed unchanged QP amplitude. This result highlights the potential of the QPs as an intracellular biomarker of glioma invasion. |
| 544 | 16:57
|
Differential diagnosis of primary liver cancer using APT and quantitative DIXON techniques |
| Tao Lin1, Jiazheng Wang2, Peng Sun2, Lihua Chen1, Qingwei Song1, Renwang Pu1, Ying Zhao1, Xue Ren1, Qihao Xu1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) are the most common types of primary liver cancer, which differ greatly in terms of pathogenesis, biological behavior, histological morphology, treatment, and prognosis. This retrospective study revealed that APT combined with quantitative DIXON technique could improve the performance for differentiating HCC from ICC. |
| 545 | 17:09
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VERDICT MRI estimates match histopathology features in brain tumours |
| Matteo Figini1, Antonella Castellano2, Michele Bailo3, Marcella Callea4, Valentina Pieri2, Marcello Cadioli5, Marco Palombo1,6,7, Pietro Mortini3, Andrea Falini2, Daniel C Alexander1, Mara Cercignani6,8, and Eleftheria Panagiotaki1 | ||
1Centre for Medical Image Computing, Computer Science Department, University College London, London, United Kingdom, 2Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University and IRCCS Ospedale San Raffaele, Milan, Italy, 3Department of Neurosurgery and Gamma Knife Radiosurgery, Vita-Salute San Raffaele University and IRCCS Ospedale San Raffaele, Milan, Italy, 4Pathology Unit, IRCCS Ospedale San Raffaele, Milan, Italy, 5Philips Healthcare, Milan, Italy, 6Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 7School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 8Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, United Kingdom |
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We recently adapted the VERDICT framework to characterize both the core and peritumoural areas of brain tumours. We report here its first clinical application in the differentiation of brain tumour histotypes. Comparing groups of lesions with increasing aggressiveness (from lower to higher grades to metastases) we observed a significant increase in the intracellular and vascular fraction in the lesion core. VERDICT maps matched the features showed by histopathology in lower grades and in metastases; in the most heterogeneous higher grades, VERDICT maps showed differences between subregions compatible with histopathology results in multiple biopsy samples. |
| 546 | 17:21
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APTw imaging outperforms relaxation-compensated CEST-MRI at 3T in assessing glioma progression after radiotherapy - a preliminary analysis |
| Nikolaus von Knebel Doeberitz1, Florian Kroh2, Johannes Breitling2, Srdjan Maksimovic1, Laila Koenig3, Juergen Debus3,4, Peter Bachert2,5, Heinz-Peter Schlemmer1,6, Mark E. Ladd2,5,6, Steffen Goerke2, and Daniel Paech1,7 | ||
1Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany, 4Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Department of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 6Faculty of Medicine, University of Heidelberg, Heidelberg, Germany, 7Department of Neuroradiology, Bonn University Hospital, Bonn, Germany |
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In this interim analysis we compared in patients with gliomas the ability of asymmetry-based amide proton transfer weighted (APTw) imaging with Lorentzian-fit-based relaxation-compensated CEST-MRI (MTRRex) of the APT, rNOE and MT signal to differentiate disease progression from treatment induced changes six weeks after completion of radiotherapy. In progressive gliomas, APTw displayed significantly higher signal intensities in contrast enhancing tissue compared to non-progressive gliomas with an AUC of 0.77 in receiver operator characteristic analyses (p 0.03). MTMTRrex showed a trend towards higher signal intensities in progressive tumors. All CEST metrics displayed significant differences in white and gray brain matter signal intensities. |
| 547 | 17:33
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MR Molecular Imaging of Extradomain-B Fibronectin for Non-invasive Active Surveillance of Prostate Cancer |
| Amita Vaidya1, Aman Shankardass1, Megan Buford1, Ryan Hall1, and Zheng-Rong Lu1 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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C-X-C motif chemokine receptor 2 (CXCR2) expression is associated with high-grade and advanced prostate cancer. LNCaP-CXCR2+ prostate cancer cells with stable expression of CXCR2 exhibited mesenchymal features and became more aggressive with elevated expression of an ECM oncoprotein EDB-FN as compared to the slow-growing parental cell line, LNCaP. MRMI of EDB-FN with a targeted contrast agent MT218 resulted in significant increase of T1-weighted contrast enhancement in LNCaP-CXCR2+ prostate tumors as compared to the LNCaP tumors in mice. The results suggest that MRMI of EDB-FN has the potential to provide non-invasive active surveillance of low-grade prostate cancer. |
| 548 | 17:45
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Diffusion restriction comparison between Gleason 4 fused and cribriform glands within patients using whole mount prostate pathology |
| Savannah R Duenweg1, Xi Fang2, Samuel A Bobholz1, Allison K Lowman3, Michael Brehler3, Fitzgerald Kyereme3, Kenneth A Iczkowski4, Kenneth Jacobsohn5, Anjishnu Banerjee2, and Peter S LaViolette3,6 | ||
1Biophysics, Medical College of Wisconsin, Wauwatosa, WI, United States, 2Biostatistics, Medical College of Wisconsin, Wauwatosa, WI, United States, 3Radiology, Medical College of Wisconsin, Wauwatosa, WI, United States, 4Pathology, Medical College of Wisconsin, Wauwatosa, WI, United States, 5Urology, Medical College of Wisconsin, Wauwatosa, WI, United States, 6Biomedical Engineering, Medical College of Wisconsin, Wauwatosa, WI, United States |
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This study used prostate histology and multi-parametric magnetic resonance imaging (MP-MRI) to evaluate diffusion differences in Gleason pattern 4 gland morphology. After surgery, tissue was sliced using slicing jigs, annotated by a board-certified pathologist, and digitally contoured to differentiate lumen and epithelium. Slides were co-registered to the T2-weighted MRI scan. Two linear mixed models were fitted to the MP-MRI data to consider the different hierarchical structures. Model (1) considers patient as random effect, and Model (2) adds a nested effect for slide. We found that cribriform glands were more diffusion restricted than fused glands in Gleason Grade 4 tumors. |
| 549
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17:57
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Investigating the contribution of hyaluronan (HA) to the breast tumour microenvironment using multiparametric MRI and histology |
| Emma L Reeves1, Jin Li1, Konstantinos Zormpas-Petridis1, James Sullivan2, Craig Cummings1, Barbara Blouw3, David Kang3, Ralph Sinkus4, Jeffrey C Bamber1, Yann Jamin1, and Simon P Robinson1 | ||
1Radiotherapy & Imaging, Institute of Cancer Research, London, United Kingdom, 2Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Halozyme Therapeutics, San Diego, CA, United States, 4Life Sciences and Medicine, King's College London, London, United Kingdom |
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The impact of HA on tumour characteristics measured by MRI/E is not fully understood. We evaluated relationships between MRI biomarkers and histology in saline (HA present) and PEGPH20 treated (HA absent) breast tumours. ADC had the strongest association with HA, reaffirming that ADC is the most sensitive biomarker of tumour response to PEGPH20. MTR negatively correlated with HA, likely due to a HA-mediated dilution of MT-inducing components including collagen. MRE-derived elasticity (Gd) did not directly correlate with HA, however, HA degradation reduced the contribution of collagen to tumour viscoelasticity and may shift the sensitivity of Gd to the cellular compartment. |
| 550 | 18:09
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Can Ultrafast MRI replace conventional DCE MRI in morphological evaluation and subtype classification in breast mass lesions? |
| Akane Ohashi1, Masako Kataoka2, Mami Iima2, Maya Honda3, Rie Ota2, Yuta Urushibata 4, Dominic Marcel Nickel5, Masakazu Toi6, Sophia Zackrisson1, and Yuji Nakamoto2 | ||
1Translational Medicine, Diagnostic Radiology, Lund University, Skåne University Hospital, Malmö, Sweden, 2Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan, 4Siemens Healthcare K.K., Tokyo, Japan, 5Siemens Healthcare GmbH, Erlangen, Germany, 6Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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To evaluate the possibility of replacing conventional DCE MRI with UF-DCE MRI, we assessed the concordance of morphological information of the mass lesions between UF-DCE MRI and the early phase of DCE MRI. The size and shape showed excellent concordance between the two phases, while UF-DCE MRI tended to show circumscribed margin and homogeneous enhancement. In a sub-analysis, luminal subtypes demonstrated smaller size with homogeneous enhancement pattern compared with non-luminal subtypes. Predictive model for luminal subtype using the two parameters resulted in the AUC of 0.68, 0.72, for UF-DCE MRI and the early phase of DCE MRI, respectively (p=0.23). |
| 551 | 16:45
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Accelerated 2D Cardiac MRF Using a Self-Supervised Deep Image Prior Reconstruction |
| Jesse Ian Hamilton1,2 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States |
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A physics-based deep learning reconstruction is proposed for cardiac MRF that is based on the deep image prior framework, which employs self-supervised training and does not require additional in vivo training data. Calculation of the forward model is accelerated using a neural network to rapidly output MRF signal timecourses (in place of a Bloch simulation) and low-rank modeling to reduce the number of NUFFT operations. The proposed reconstruction enables cardiac T1/T2 mapping during a shortened 5-heartbeat breathhold and 150ms acquisition window. |
| 552
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16:57
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Cycle-Consistent Adversarial Transformers for Unpaired MR Image Translation |
| Onat Dalmaz1,2, Mahmut Yurt3, Salman UH Dar1,2, and Tolga Çukur1,2,4 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Electrical Engineering, Stanford University, Stanford, CA, United States, 4Neuroscience Program, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey |
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Translating acquired sequences to missing ones in multi-contrast MRI protocols can dramatically reduce scan costs. Neural network models devised for this purpose are characteristically trained on paired datasets, which can be difficult to compile. Moreover, these models exclusively rely on convolutional operators with undesirable biases towards feature locality and spatial invariance. Here, we present a cycle-consistent translation model, ResViT, to enable training on unpaired datasets. ResViT combines localization power of convolution operators with contextual sensitivity of transformers. Demonstrations on multi-contrast MRI datasets indicate the superiority of ResViT against state-of-the-art translation models. |
| 553
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17:09
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Automated Adipose Tissue Segmentation using 3D Attention-Based Competitive Dense Networks and Volumetric Multi-Contrast MRI |
| Sevgi Gokce Kafali1,2, Shu-Fu Shih1,2, Xinzhou Li1, Shilpy Chowdhury3, Spencer Loong4, Samuel Barnes3, Zhaoping Li5, 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, 3Radiology, Loma Linda University Medical Center, Loma Linda, CA, United States, 4Psychology, Loma Linda University School of Mental Health, Loma Linda, CA, United States, 5Medicine, University of California, Los Angeles, Los Angeles, CA, United States |
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Subcutaneous and visceral adipose tissue (SAT/VAT) are potential biomarkers to detect future risks of metabolic diseases. However, the current standard for analysis relies on manual annotations that require expert knowledge and are time-consuming. Previous neural networks for automatically segmenting adipose tissue had suboptimal performance for VAT. This work developed a new 3D attention-based competitive dense network to rapidly (84 ms/slice) and accurately segment SAT/VAT in adults with obesity by leveraging multi-contrast MRI inputs and considering the complex VAT features. The new network achieved high Dice scores (>0.96) and accurate volume measurements (difference<1.6%) for SAT/VAT with respect to manual annotations. |
| 554 | 17:21
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An End-to-End Segmentation Pipeline for Dixon Adipose and Muscle by Neural Nets (DAMNN) |
| Karl Landheer1, Jonathan Marchini1, Benjamin Geraghty1, Prodromos Parasoglou1, Stefanie Hectors1, Farshid Sepehrband1, Nicholas Gale1, Andrew Murphy1, Johnathon Walls1, and Mary Germino1 | ||
1Regeneron Pharmaceuticals, Inc, Tarrytown, NY, United States |
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An end-to-end pipeline was developed that processes whole-body Dixon MRI data sets from UK Biobank and corrects for overlapping slices, inhomogeneous signal intensities, and fat-water swaps to produce high quality 3D data sets. Segmentation maps for subcutaneous/visceral fat and left/right thigh muscles from these 3D data sets were then produced using neural networks, and muscle and fat volume phenotypes were extracted. The Jaccard index for the validation data sets was 93.3% for the fat segmentation and 96.9% for the muscle segmentation. Excellent correspondence was obtained with the extracted muscle and fat volumes and similar metrics from a commercially available package. |
| 555 | 17:33
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ResoNet: Physics Informed Deep Learning based Off-Resonance Correction Trained on Synthetic Data |
| Alfredo De Goyeneche 1, Shreya Ramachandran1, Ke Wang1,2, Ekin Karasan1, Stella Yu1,2, and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2International Computer Science Institute, University of California, Berkeley, Berkeley, CA, United States |
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We propose a physics-inspired, unrolled-deep-learning framework for off-resonance correction. Our forward model includes coil sensitivities, multi-frequency bins, and non-uniform Fourier transforms hence compatible with fat/water imaging and parallel imaging acceleration. The network, which includes data-consistency terms and CNN modules serving as proximal operators, is trained end-to-end using only synthetic random field maps, coil sensitivities, and noise-like images with statistics (smoothness) mimicking natural signals. Our aim is to train the network to reverse off-resonance irrespective of the type of imaging, and hence generalizable to any anatomy and contrast without retraining. We demonstrate initial results in simulations, phantom, and in-vivo data. |
| 556 | 17:45
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Registration and quantification net (RQnet) for IVIM-DKI analysis |
| Wonil Lee1, Giyong Choi1, Jongyeon Lee1, and HyunWook Park1 | ||
1Electrical Engineering, KAIST, Daejeon, Korea, Republic of |
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Accurate alignment of multiple diffusion-weighted images must be preceded to predict accurate diffusion parameters. A number of registration approaches have been studied (1,2). However, most of them minimize the dissimilarity between diffusion weighted image and a reference, which can cause errors because the characteristics of the images are different. In order to accurately investigate diffusion, perfusion, and kurtosis parameters using hybrid IVIM-DKI model, a deep learning network is proposed as an end-to-end fashion. This method is entirely unsupervised learning, which does not require reference image for registration and the labeled IVIM-DKI parameters for registration and quantification. |
| 557
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Pitch: 16:45 Poster: 16:47 Plasma 16
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Simultaneous perfusion, diffusion, T2*, and T1 mapping with MR Fingerprinting (MRF-PDT) |
| Hongli Fan1,2, Lisa Bunker3, Alexandra Zezinka Durfee3, Xiaohong Joe Zhou4, Argye E. Hillis3, and Hanzhang Lu1,2,5 | ||
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Center for Magnetic Resonance Research and Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 5F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Quantitative mapping of brain perfusion, diffusion, T2*, and T1 has a broad range of clinical applications. The present work aims to develop a novel pulse sequence that can simultaneously map perfusion, diffusion, T2* and T1 with MR fingerprinting, dubbed MRF-PDT, with a total scan time of <6 minutes. This technique was first demonstrated on healthy volunteers, then on two patients with ischemic stroke. All maps derived from MRF-PDT exhibited the expected image contrasts with quantitative values consistent with those reported in literature. In addition, test-retest studies confirmed the reproducibility of the proposed technique. |
| 558 | Pitch: 16:47 Poster: 16:49 Plasma 17
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Improving Radiomics Reproducibility Using MR Fingerprinting and Physics-Informed Quantization |
| Walter Zhao1,2, Zheyuan Hu1, Anahita Fathi Kazerooni3,4, Gregor Körzdörfer5, Matthias Nittka5, Christos Davatzikos3,4, Satish E. Viswanath1, Xiaofeng Wang6, Chaitra Badve7, and Dan Ma1 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Medical Scientist Training Program, Case Western Reserve University, Cleveland, OH, United States, 3Center for Biomedical Image Computing and Analysis, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 5Siemens Healthineers, Erlangen, Germany, 6Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, United States, 7Department of Radiology, Case Western Reserve University and University Hospitals Cleveland Medical Center, Cleveland, OH, United States |
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MR fingerprinting (MRF) is a rapid, quantitative imaging approach with significant potential for use in clinical studies, including radiomic applications. Due to its quantitative nature, robustness to system imperfections, and requiring fewer image preprocessing steps, we believe MRF radiomics is uniquely positioned to offer improved reproducibility and generalizability compared to conventional MRI. Here we report reproducibility results of MRF T1 and T2 radiomic features in the healthy human brain, and introduce a novel physics-informed quantization approach for improved reproducibility of quantitative image texture features. |
| 559 | Pitch: 16:49 Poster: 16:51 Plasma 18
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MR fingerprinting and complex-valued neural network for quantification of brain amyloid burden |
| Shohei Fujita1,2, Yujiro Otsuka1,3,4, Katsutoshi Murata5, Gregor Koerzdoerfer6, Mathias Nittka6, Yumiko Motoi7,8, Madoka Nakajima8,9, Koji Murakami10, Issei Fukunaga1, Koji Kamagata1, Osamu Abe2, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Milliman Inc, Tokyo, Japan, 4Plusman LLC, Tokyo, Japan, 5Siemens Healthcare Japan KK, Tokyo, Japan, 6Siemens Healthcare GmbH, Erlangen, Germany, 7Department of Neurology, Juntendo University, Tokyo, Japan, 8Medical Center for Dementia, Juntendo University, Tokyo, Japan, 9Department of Neurosurgery, Juntendo University, Tokyo, Japan, 10Division of Nuclear Medicine, Department of Radiology, Juntendo University, Tokyo, Japan |
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We developed a framework utilizing MR fingerprinting and a complex-valued neural network to detect brain amyloid burden. The tailored neural network was trained on real amyloid-PET imaging data and MR fingerprinting acquisitions to estimate PET-derived amyloid deposition from the MR fingerprinting signal evolutions. This complex-valued neural network architecture, designed to increase sensitivity to amyloid-related signals, showed a subject-level amyloid positivity classification with AUC = 0.87 in patients with cognitive decline. The proposed method enables non-invasive amyloid burden mapping, T1 and T2 mapping in a single scan, and is suitable not only for diagnosis but also for monitoring amyloid-reducing treatments. |
| 560 | Pitch: 16:51 Poster: 16:53 Plasma 19
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Fast multi-compartment microstructure fingerprinting using deep neural networks |
| Quentin Dessain1, Nicolas Delinte1, Benoit Macq1, and Gaëtan Rensonnet1 | ||
1ICTEAM, Université Catholique de Louvain, Louvain La Neuve, Belgium |
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We estimate microstructural features of crossing fascicles in the white matter by using a fast multi-compartment fingerprinting, an extension of MR fingerprinting to diffusion MRI. The acceleration uses efficient sparse optimization and a dedicated feed-forward neural network to circumvent the inherent combinatorial complexity of the fingerprinting estimation. The accuracy of the results and the speedup factors obtained on in vivo brain data suggest the potential of our method for a fast quantitative estimation of microstructural features in complex white matter configurations. |
| 561
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Pitch: 16:53 Poster: 16:55 Plasma 20
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Sequence optimisation mitigating undersampling errors in Magnetic Resonance Fingerprinting |
| David Heesterbeek1, Martin van Gijzen2, Frans Vos1,3, and Martijn Nagtegaal1 | ||
1Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 2Department of Numerical Analysis, Delft University of Technology, Delft, Netherlands, 3Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands |
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In MR Fingerprinting acquisitions, the choice of flip angle sequence has a strong effect on the accuracy of the estimated parameter maps. Undersampling artefacts in time-series images are a dominant source of error for standard MRF estimations. We propose to use an undersampling-error model leveraging on perturbation theory, to optimise flip angle patterns taking into account the k-space readout, a realistic ground truth and signal phase. In vivo scans show strong visible reduction in error. Root-mean-square errors in $$$T_1$$$ and $$$T_2$$$ were reduced with at least 6.4%-points and 9%-points respectively, compared to a Cramér-Rao bound optimised and a conventional pattern. |
| 562 | Pitch: 16:55 Poster: 16:57 Plasma 21
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Visualizing Encoding Efficiency of MR Fingerprinting Sequences using Leave-One-Out Perturbation (LOOP) |
| Christian Guenthner1, Johanna Stimm1, and Sebastian Kozerke1 | ||
1ETH and University Zurich, Zurich, Switzerland |
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In Magnetic Resonance Fingerprinting, the accuracy of the results is dominated by undersampling artifacts. While in classical relaxometry techniques, the omission of data always leads to a larger error, in fingerprinting, undersampling artifacts can lead to both an increase or a decrease in error. The “temporal encoding efficiency” of fingerprinting can be analyzed based on the change in matching error upon omission of a single time point (leave-one-out). We propose a first-order perturbation of the undersampling error to visualize and identify temporal sequence segments of primary parameter encoding and apply these insights to shorten an exemplary MRF sequence by truncation. |
| 563 | Pitch: 16:57 Poster: 16:59 Plasma 22
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Fast CEST MR Fingerprinting with Increased Volumetric Coverage using Slice Permuted Acquisition and Deep Learning Reconstruction |
| Ouri Cohen1, Robert Young2, Christian T Farrar3, and Ricardo Otazo1 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Radiology, Athinoula A. Martinos Center, Charlestown, MA, United States |
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CEST imaging is a promising tool for diagnosis and evaluation of treatment response in tumors. However, conventional CEST is not quantitative and requires long acquisition times. A recently developed technique, CEST MR fingerprinting (CEST-MRF), overcomes many of the technical limitations of conventional CEST but still suffers from limited volumetric coverage. In this work, we propose a novel multi-slice CEST-MRF pulse sequence and deep learning reconstruction method to enable volumetric coverage without the need for additional scan time. Numerical simulations and in vivo experiments in a healthy subject are performed to demonstrate feasibility and utility of the proposed multi-slice CEST-MRF technique. |
| 564 | Pitch: 16:59 Poster: 17:01 Plasma 23
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Simultaneous mapping of T1, T2, and T2* at 0.55T with Rosette MR Fingerprinting |
| Evan Cummings1,2, Yuchi Liu2, Yun Jiang1,2, Kathleen Ropella-Panagis2, Jesse Hamilton1,2, and Nicole Seiberlich1,2 | ||
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Radiology, University of Michigan, Ann Arbor, MI, United States |
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In this work, Rosette MRF was modified and deployed to simultaneously map T1, T2, and T2*. Mapping is demonstrated on the ISMRM/NIST phantom for verification of quantitative accuracy, and on four healthy volunteers to demonstrate potential feasibility in vivo. |
| 565 | Pitch: 17:01 Poster: 17:03 Plasma 24
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Towards quantification of semisolid tissue properties at 7T using multiband-MRF methods. |
| Daniel West1,2, Raphael Tomi-Tricot3, Lucilio Cordero-Grande1,4,5, Pip Bridgen1, Tom Wilkinson1, Sharon Giles1, Joseph Hajnal1,4, and Shaihan Malik1,4 | ||
1Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2London Collaborative Ultra High Field System (LoCUS), London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4Centre for the Developing Brain, King's College London, London, United Kingdom, 5Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BNN, Madrid, Spain |
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Since semisolid tissue components are strong determinants of relaxation parameters, estimation of semisolid properties may lead to more robust and direct characterization of tissues than relaxation measurement. We have used multiband MR fingerprinting at ultra-high field in an exploratory study towards high resolution quantitative imaging with efficient parameter encoding. To achieve this, two variants of a steady-state sequence are proposed that employ different cycling of nonselective multiband RF pulses: one to highlight dipolar order effects apparent in lipid bilayer-like materials such as myelin, and the other to measure semisolid T2. Initial phantom results and preliminary in vivo investigation are presented. |
| 566 | Pitch: 17:03 Poster: 17:05 Plasma 25
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Tissue classification of cerebral gliomas using MR fingerprinting signal and deep learning |
| Yong Chen1, Rasim Boyacioglu1, Gamage Sugandima Nishadi Weragoda2, Michael Martens2, Mark Griswold1, and Chaitra Badve1,3 | ||
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Physics, Case Western Reserve University, Cleveland, OH, United States, 3Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States |
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In this pilot study, we aim to analyze MR Fingerprinting (MRF) signal using deep learning network to assess the performance of tissue classification in gliomas. A U-Net based convolutional neural network was trained to learn glioma grades based on the SVD-compressed fingerprint acquired using MRF. Based on data acquired from a 5-minute MRF scan, the method shows great potential to accurately classify glioma grades without the need of image registration and contrast administration. |
| 567 | Pitch: 17:05 Poster: 17:07 Plasma 26
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Fast high-resolution Electric Properties Mapping using three-dimensional MR Fingerprinting based water fraction estimation (MRF-EPT) |
| Matteo Cencini1,2, Marta Lancione1,2, Laura Biagi1,2, Rossella Pasquariello1, Luca Peretti2,3, Carolin M. Pirkl4, Rolf F. Schulte4, Guido Buonincontri1, Alessandro Arduino5, Luca Zilberti5, and Michela Tosetti1,2 | ||
1IRCCS Stella Maris, Pisa, Italy, 2Imago7 Foundation, Pisa, Italy, 3Università di Pisa, Pisa, Italy, 4GE Healthcare, Munich, Germany, 5Istituto Nazionale di Ricerca Metrologica (INRiM), Torino, Italy |
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MR-EPT aims to non-invasively assess the electrical properties (EP) of the tissues. However, conventional methods based on second-order derivatives of the transmit field are hampered by high noise amplification and boundary errors. Here, we propose to rely on the correlation between electrical properties and water content, which in turn is correlated to tissue T1, in order to extract EP maps from MR Fingerprinting based T1 estimation. We demonstrate whole-brain high-resolution EP mapping of healthy human volunteers and consistent results with both theoretical predictions and standard MR-EPT estimations. |
| 568 | Pitch: 17:07 Poster: 17:09 Plasma 27
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On the Feasibility of Hybrid-State based Quantitative MRI at 0.55T |
| Sebastian Flassbeck1,2 and Jakob Assländer1,2 | ||
1New York University School of Medicine, Center for Biomedical Imaging, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States |
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Low field magnetic resonance systems have potential as powerful diagnostic tools at comparably low cost. However, the inherently lower signal requires the use of SNR-efficient pulse sequences and reconstruction schemes. In this work, we present initial results with a hybrid-state free precession sequence, used to quantify T1 and T2 in 12min with an isotropic resolution of 1mm3. Visually, these quantitative maps show low noise levels, which allows for compelling synthetic MP-RAGE contrast generation. |
| 569 | Pitch: 17:09 Poster: 17:11 Plasma 28
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Online Gadgetron Reconstruction of 3D Magnetic Resonance Fingerprinting via a GPU-Accelerated Azure Kubernetes Cluster |
| Andrew Dupuis1, Yong Chen1, Rasim Boyacioglu1, John Stairs2, Michael Hansen2, Kelvin Chow3, and Mark A Griswold1 | ||
1Case Western Reserve University, Cleveland, OH, United States, 2Microsoft, Redmond, WA, United States, 3Siemens Medical Solutions USA, Inc., Chicago, IL, United States |
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Reconstruction of 3D Magnetic Resonance Fingerprinting acquisitions is computationally demanding, resulting in long processing times. GPU parallelization of the reconstruction’s NUFFT, pattern matching, and coil combination steps improves performance, but traditionally requires high-performance computers at the scanner. We propose an online reconstruction on a remote GPU-accelerated Kubernetes cluster. This allows many scanners or sites to share easily upgradeable and manageable computing resources. Additional calibration measurements, such as B1 maps, can also be transferred to allow inline B1 inhomogeneity correction. We also demonstrate that 3D-MRF reconstruction is robust with raw data compression that can be used to reduce site-to-cloud bandwidth requirements. |
| 570
|
16:45
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A 320 km Hyperpolarization Journey: performing [U-13C, d7]glucose DNP in Copenhagen and Hyperpolarized 13C-MR in Aarhus |
| Andrea Capozzi1,2, Magnus Karlsson2, Esben Søvsø Szocska Hansen3, Juan Diego Sanchez2, Christoffer Laustsen3, Mathilde Hauge Lerche2, Jacques Van Der Klink1, and Jan Henrik Ardenkjær-Larsen2 | ||
1Physics, EPFL, Lausanne, Switzerland, 2Technical University of Denmark, Kgs. Lyngby, Denmark, 3Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark |
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Dissolution DNP polarizers are expensive, technically demanding and require trained personnel. At the same time, hyperpolarized MR tracers have a half-life short enough to need the polarizer to be placed as close as possible to the MRI scanner. Similarly to PET tracers, being able to receive on demand hyperpolarized contrast agents from a centralized facility would solve this major shortcoming and boost the diffusion of hyperpolarized MR on a wider scale. In this work, using UV-induced non-persistent radicals and purpose build hardware, we demonstrate the first “across-cities-dDNP” experiment. |
| 571
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16:57
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Methodological advances in serial hyperpolarized carbon-13 (HP-13C) metabolic imaging of patients with glioma |
| Adam W Autry1, Sana Vaziri1, Jeremy W Gordon1, Marisa LaFontaine1, Hsin-Yu Chen1, Yaewon Kim1, Javier Villanueva-Meyer1, Susan M Chang2, Jennifer Clarke2,3, Nancy A Oberheim-Bush2,3, Duan Xu1, Janine M Lupo1, Peder EZ Larson1, Daniel B Vigneron1,4, 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 Neurology, University of California San Francisco, San Francisco, CA, United States, 4Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, United States |
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This study aimed to improve hyperpolarized carbon-13 (HP-13C) metabolic imaging methodologies for serial monitoring of patients with malignant brain tumors. Several analyses were pursued among 29 patients diagnosed with gliomas and 7 volunteers. Implementation of atlas-based prescription of echo-planar imaging (EPI) demonstrated consistent volumetric coverage (dice:0.967-0.978) and improved hemispheric symmetry in modeled kinetics(p=0.006), which helped highlight tumor. A 2s versus 5s acquisition delay post injection of tracer increased the capture of [1-13C]pyruvate inflow dynamics(p=0.04), while reducing simulated kinetic modeling error. Post-acquisition FID-CSI spectra demonstrated improved referencing of [1-13C]pyruvate f0 using water versus a coil-embedded urea phantom(p=0.00003), thereby maximizing EPI excitation. |
| 572 | 17:09
|
Evaluating hyperpolarized [1-13C]pyruvate uptake for predicting response to stereotactic radiosurgery in brain metastases |
| Nicole I.C. Cappelletto1, Hany Soliman2, Casey Y. Lee1, Nadia D. Bragagnolo1,3, Arjun Sahgal2, Albert P. Chen4, Ruby Endre3, William J. Perks5, Nathan Ma5, Jay S. Detsky2, Chris Heyn6, and Charles H. Cunningham1,3 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 4GE Healthcare, Toronto, ON, Canada, 5Pharmacy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Radiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada |
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Brain metastases are increasingly being treated with stereotactic radiosurgery; however, 20-30% of treated tumors recur locally post-treatment. Hyperpolarized [1-13C]pyruvate magnetic resonance imaging (HP 13C MRI) is an emerging metabolic imaging modality that measures key metabolic phenotypes indicative of tumor biology. Here we investigate pre-treatment [1-13C]pyruvate uptake – a potential marker of monocarboxylate transporter 1 expression and tumor vascularity – via HP 13C MR images as a predictor of local recurrence. [1-13C]pyruvate uptake establishes a robust predictive model (AUC = 0.73) and, as a result, can inform treatment decisions should the model predict a non-response to SRS. |
| 573 | 17:21
|
Family of Novel Hyperpolarized 13C Molecular Imaging Probes Monitors Real-Time Oxidative Stress in Cancer Metabolism |
| Kazutoshi Yamamoto1, Yohei Kondo2, Ana Opina3, Deepak Sail3, Natarajan Raju3, Burchelle Blackman3, Ronja M. Malinowski4, Tomohiro Seki1, Shun Kishimoto1, Nobu Oshima1, Yasunori Otowa1, Kota Yamashita1, Daniel R. Crooks1, Jeffrey R. Brender1, Hiroshi Nonaka2, Yutaro Saito2, Peter L. Choyke1, Jan H. Ardenkjær-Larsen 4, James B. Mitchell1, W. Marston Linehan1, Rolf Swenson3, Shinsuke Sando2, and Murali C. Krishna1 | ||
1National Cancer Institute, National Institutes of Health, Bethesda, MD, United States, 2Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Japan, 3National Heart, Lung, and Blood Institute, National Institutes of Health, Rockville, MD, United States, 4Department of Health Technology, Technical University of Denmark, Lyngby, Denmark |
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Molecular imaging can personalize cancer therapies by monitoring treatment responses, where hyperpolarized MRI is becoming an increasingly critical methodology. However, the limited number of available probes, which can interrogate key physiology/biochemistry related to targeted diseases, remains one of the major challenges in this growing field. In this presentation, we successfully demonstrate, for the first time, the advantages of newly synthesized 13C-Glutathione and 13C-N-acetyl cysteine probe in vivo redox status in a complementary manner. This approach serves as powerful non-invasive biomarkers to assess oxidative stress, which plays a vital role in various diseases and can be translatable to the clinical diagnosis. |
| 574 | 17:33
|
In vivo pH imaging in rats using [1,5-13C2]Z-OMPD |
| Pascal Wodtke1, Martin Grashei1, Frits H. A. van Heijster1, Sandra Sühnel1, Nadine Setzer1, and Franz Schilling1 | ||
1Department of Nuclear Medicine, Technical University of Munich, Munich, Germany |
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We introduce hyperpolarized [1,5-13C2]Z-OMPD as a novel in vivo pH sensor. Upon synthesis from ethyl pyruvate, the molecule appears to be non-toxic and shows good hyperpolarization properties, as indicated by high polarization levels and long T1 relaxation times for both 13C-labels. 13C-chemical shifts show good pH sensitivity in the physiological range, which enables pH imaging in vitro of human blood phantoms of different pH. In vivo pH imaging upon injection in rats reveals previously reported pH compartments in kidneys. It is further demonstrated, that the OMPD1 peak can be used as internal reference, further facilitating the process. |
| 575 | 17:45
|
Measuring Airflow Velocity in the Upper Airways with 129Xe Phase Contrast MRI: Feasibility in Pediatric Patients with Obstructive Sleep Apnea |
| Neil James Stewart1,2, Qiwei Xiao2,3, Matthew Willmering2,3, Keith McConnell3, Hui Wang4, Robert Fleck5, Jason Woods2,3, Raouf Amin3, and Alister Bates2,3,5,6 | ||
1POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 2Center for Pulmonary Imaging Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 4MR Clinical Science, Philips, Cincinnati, OH, United States, 5Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 6Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States |
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We report preliminary HP 129Xe phase contrast (PC) MRI data in pediatric patients with obstructive sleep apnea; a common sleep-related breathing disorder caused by upper airway collapse. The feasibility and safety of 129Xe gas delivery through the patient’s anesthesia mask during tidal breathing under sedation (approximately sleep stage-2) was demonstrated. Dynamic spiral-based PC MRI (temporal resolution 0.5—1s) captured inspiratory and expiratory airflow, with sufficient sensitivity to identify flow features such as high-speed jets corresponding to regions of airway narrowing/obstruction on 1H anatomical MRI. With further data, our work may allow the development of optimized personalized treatment plans. |
| 576 | 17:57
|
Quantifying regional pulmonary ventilation changes in hyperpolarized 3He MRI of asthma subjects following bronchodilator at three timepoints |
| Ummul AFIA Shammi1, Lucia Flors Blasco2, Talissa Altes3, John P. Mugler4, Craig Meyer4, Jaime Mata5, Kun Qing5, Wilson Miller5, and Robert Thomen1 | ||
1Biomedical, Biological & Chemical Engineering, University of Missouri, Columbia, Columbia, MO, United States, 2Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3Department of Radiology, University of Missouri, Columbia, Columbia, MO, United States, 4Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 5Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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Quantification of reginal pulmonary ventilation changes in a longitudinal study with hyperpolarized gas MRI would be beneficial for clinicians evaluating treatment responses. While VDP is a sensitive measure of global lung ventilation, regional ventilation information inherent in imaging is lost. In this work, we present a method of performing voxel-wise comparisons in 3He MRI and producing regional ventilation change maps in asthma patients following bronchodilation with either short-acting or long-acting beta agonists at three timepoints. Regional change maps were congruous with visual assessment of regional ventilation changes and showed the temporal effects of bronchodilator action in patients with severe asthma. |
| 577
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16:45
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Field orientation matters: vertical open-bore scanners significantly reduce RF heating around implanted deep brain stimulation devices |
| Jasmine Vu1,2, Bhumi Bhusal2, Bach T Nguyen2, Pia Sanpitak2, Elizabeth Nowac3, Julie Pilitsis4, Joshua Rosenow5, and Laleh Golestanirad1,2 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Chicago, IL, United States, 3Illinois Bone and Joint Institute, Wilmette, IL, United States, 4Neurosciences & Experimental Therapeutics, Albany Medical College, Albany, NY, United States, 5Neurosurgery, Northwestern University, Chicago, IL, United States |
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Radiofrequency (RF) heating of tissue around active electronic implants limits MRI accessibility for patients with deep brain stimulation (DBS) devices. Here, we show that RF heating had an 11-fold reduction on average for a DBS device with clinically relevant, patient-derived lead trajectories during MRI in a 1.2 T vertical scanner compared to a 1.5 T horizontal scanner. Electromagnetic simulations showed up to a 14-fold decrease in the maximum of the 0.1g-averaged SAR, which was consistent in leads with various internal wire geometries/electrical lengths, suggesting that our experimental results could potentially generalize to DBS devices from other manufacturers. |
| 578 | 16:57
|
RF Heating of Multi-channel icEEG Electrodes |
| Thomas Lottner1, Simon Reiss1, Stefan Rieger2, Johannes Fischer1, Lars Bielak1, Ali Caglar Oezen1, Martin Schüttler2, and Michael Bock1 | ||
1Dept.of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2CorTec GmbH, Freiburg, Germany |
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Active implantable medical devices restore body function in patients with neurological or other disorders, increasing their quality of life. The RF-safety assessment of neural implants is complex due to the increasing use of multi-channel systems. In this study, the heating characteristics of intracranial EEG electrodes with increasing number of channels is investigated. this study shows that, for the given configurations, the RF-induced heating decreases, when the number of channels of the device is increased. Hence, increasing the grids of planar electrodes might be used to decrease the RF induced heating. |
| 579
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17:09
|
Influence of electric field and axon geometry on peripheral nerve stimulation chronaxie |
| Natalie G Ferris1,2, Valerie Klein3,4, Bastien Guérin4,5, Lawrence L Wald2,4,5, and Mathias Davids3,4,5 | ||
1Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, United States, 2Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA, United States, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany, 4A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 5Harvard Medical School, Boston, MA, United States |
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We calculate the impact of peripheral nerve geometry (bend angle, radius of curvature, and axon diameter) and electric field characteristics (hot-spot amplitude and extent) on the chronaxie of nerve stimulation to better understand the variability in experimental chronaxie values seen with MRI gradient coils. |
| 580 | 17:21
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Increasing Peripheral Nerve Stimulation Thresholds Using Gradient Array Coils |
| Reza Babaloo1,2, Manouchehr Takrimi2, and Ergin Atalar1,2 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey |
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Recent high-performance gradient coil designs are primarily limited by Peripheral Nerve Stimulation thresholds rather than hardware. Electrical fields induced by gradient switching may stimulate nerves within the human body if they exceed predefined thresholds. Gradient array coils can reduce the maximum electric field by optimizing feeding currents while generating the desired magnetic field profile within a specified region of interest. Another degree of freedom provided by array configuration is the ability to generate a flexible shaped region of interest, which allows for electrical fields manipulation to increase peripheral nerve stimulation thresholds. |
| 581 | 17:33
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Measurement of cardiac magnetostimulation thresholds in pigs |
| Valerie Klein1,2, Jaume Coll-Font2,3,4, Livia Vendramini2, Donald Straney2, Mathias Davids1,2,3, Natalie G. Ferris2,5, Lothar R. Schad1, David E. Sosnovik2,3,4,5, Christopher Nguyen2,3,4, Lawrence L. Wald2,3,5, and Bastien Guérin2,3 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany, Mannheim, Germany, 2Department of Radiology, Massachusetts General Hospital, A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Charlestown, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States |
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We measured cardiac magnetostimulation thresholds in ten healthy pigs by discharging a 220-µF capacitor into a flat spiral coil placed close to the pigs’ torso. We used MR Dixon images to locate the porcine heart and determine the relative coil position to calculate the B-field in the heart (Biot-Savart). The average threshold for cardiac magnetostimulation during diastole was dB/dt≈1570±320 T/s at the center of the heart. This value is >10X greater than the IEC 60601-2-33 cardiac dB/dt limit for the effective stimulus duration of the magnetic stimulator system used in the experiments (0.45 ms). |
| 582
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17:45
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A web-accessible tool for Temperature Estimation from SAR Simulations (TESS) |
| Eros Montin1, Giuseppe Carluccio1, Christopher Collins1, and Riccardo Lattanzi1,2 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R) Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine,, New York, NY, United States |
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TESS, Temperature Estimation from Sar Simulation, is a web-based application that performs safety assessments of MRI exams. It numerically solves modified versions of the bioheat equation that include parameters such as temporal variation of core body temperature and various physiological parameters. A web-based graphical user interface, accessible via the Cloud MR framework, enables users to set up simulations and display results. |
| 583
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17:57
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Safety Assessment of Custom-Built Multi-Channel RF Coils: EM Modeling Uncertainties |
| Alireza Sadeghi-Tarakameh1, Jerahmie Radder1, Russell L. Lagore1, Nader Tavaf1, Xiaoxuan He1, Andrea Grant1, Lance DelaBarre1, Luca Vizioli1, Xiaoping Wu1, Edward Auerbach1, Steen Moeller1, Gregor Adriany1, Gregory J. Metzger1, Pierre‐Francois Van de Moortele1, Essa Yacoub1, Kamil Ugurbil1, and Yigitcan Eryaman1 | ||
1Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States |
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Multichannel transmit (Tx) arrays are essential for ultra-high fields. In the absence of commercial options, such arrays must be built in-house. Prior to human imaging, however, safe operations limits for specific absorption rate (SAR) must be established. This is done using EM simulations, the accuracy of which has to be verified by comparing measured and simulated data. Unfortunately, EM simulations may not fully represent experimental conditions, especially for complex transmitter designs. In this work, we propose a numerical approach to determine uncertainties encountered in EM modeling that allows the determination of safe operation limits despite EM modeling errors. |
| 584 | 18:09
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MRI-based measurement of the transfer function of elongated metallic implants without transceive phase approximation. |
| Michael Eijbersen1,2, Bart Steensma1,2, Cornelis A.T. van den Berg1,2, and Alexander J.E. Raaijmakers1,2,3 | ||
1Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Computational Imaging Group, UMC Utrecht, Utrecht, Netherlands, 3Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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A new computational method is presented for determining a transfer function of implants using a MRI only paradigm. By relaxing the transciever phase approximation better results are obtained for longer implants, however an optimization for both B1+ and B1- based on magnitude only maps is required. |
16:45
|
Fundamentals & History of ZTE | |
| Peder Larson | ||
| University of California, San Francisco, CA, United States | ||
17:09
|
T2 & T2* Weighted Silent Neuroimaging | |
| Ana Beatriz Solana | ||
| GE Healthcare | ||
17:33
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Clinical Pediatric Neuroimaging with ZTE | |
| Mai-Lan Ho | ||
| Nationwide Children’s Hospital | ||
17:57
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ZTE Outside the Brain: MSK & Other Applications | |
| Jesse K. Sandberg | ||
| Stanford University | ||
18:21
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Ultra-short T2 Neuroimaging: Myelin Imaging & Hardware Considerations | |
| Emily Louise Baadsvik | ||
| ETH Zurich and University of Zurich | ||
16:45
|
Why Quantitative MRI in Radiotherapy | |
| Petra van Houdt | ||
| Netherlands Cancer Center | ||
17:09
|
Technical Challenges of Quantitative MRI | |
| Kathryn Keenan | ||
| National Institute of Standards and Technology | ||
17:33
|
Quantitative MRI on an MR-Linac | |
| Andreas Wetscherek | ||
| The Institute of Cancer Research | ||
17:57
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The Future of Quantitative MRI in RT: From Prognostic to Predictive | |
| Mariëlle Philippens | ||
| UMC Utrecht | ||
18:21
|
Panel Discussion: Opportunities for Both Communities | |
| Yue Cao1, James O'connor2 | ||
| University of Michigan1, The University of Manchester2 | ||
| 8:00 | Sodium in the Brain: How Do We Do It? |
| Wafaa Zaaraoui |
| 8:30 | Sodium in the Brain: Why Do We Do It? |
| Daniel Paech |
| 8:00 | Simplified Acquisition & Advanced Hemodynamic Assessment in CHD |
| Vivek Muthurangu |
| 8:30 | Predicting Outcomes in CHD with CMR |
| Timothy Slesnick |
| 8:00 | MRI of the Pancreas: Basics |
| Sikandar Shaikh |
| 8:30 | MRI of the Pancreas: Advanced -Radiomics of the Pancreas- |
| Shintaro Ichikawa |
| 8:00 | Value-Based MRI for Musculoskeletal Applications: Technical Considerations |
| Soterios Gyftopoulos |
| 8:30 | Value-Based MRI for Musculoskeletal Applications: Clinical Considerations |
| Garry Gold |
| 8:00 | Balancing Patents & Open Science |
| Rowan Wilson |
| 8:20 | Here's Why You Should Patent! |
| Nick Noble |
| 8:40 | Live demos: Systems and Components |
| 8:00 | Acquisition Strategies for Multicontrast MRI in the Brain |
| Rasim Boyacioglu |
| 8:30 | What Can We Quantify with Multicontrast MRI: Analysis Approaches for Neurological Applications |
| Akifumi Hagiwara |
| 8:00 | Neuro Structure at High Field |
| Evgeniya Kirilina |
| 8:30 | Neuro Structure at Low Field |
| Godwin Ogbole |
| 8:00 | Preclinical Simultaneous fMRI & Electrophysiology |
| Seong-Gi Kim |
| 8:30 | Advances in Human Simultaneous fMRI & Electrophysiology |
| Louis Lemieux |
8:00
|
Making 3D Non-Cartesian Reconstruction Manageable with RIESLING | |
| Tobias C Wood1 | ||
1King's College London, London, United Kingdom |
8:30
|
Osprey - A guide for a modern MRS analysis for everyone | |
| Helge Jörn Zöllner1,2 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Kennedy Krieger Institute, F.M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD, United States |
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Osprey is an open-source MRS analysis package streamlining uniform pre-processing, linear-combination modeling, tissue correction and quantification adhering to recent consensus guidelines. It provides an end-to-end analysis solution for the broader MRS community including application-focused researchers, and quick development benchmarking for methodologists. The software tutorial will cover a general overview of the software’s capabilities and demonstrate easy translation to the user’s own research questions. Here, we present Osprey’s modular capabilities for quick method development – showing published example studies – and translation into application research and teaching using Osprey’s job file system and example data. |
| 591
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8:00
|
Imaging Neuronal Activity at Fast Timescales in Humans using MR Elastography |
| Shruti Mishra1,2, Bin Deng2,3,4, W. Scott Hoge1,2,3, Yanmei Tie2,5, Giacomo Annio6, Ralph Sinkus6, and Samuel Patz1,2 | ||
1Radiology, Brigham & Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 4Radiology, Massachusetts General Hospital, Boston, MA, United States, 5Neurosurgery, Brigham & Women's Hospital, Boston, MA, United States, 6Laboratory for Vascular Translational Science (LVTS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France |
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A stimulus-interleaved magnetic resonance elastography (MRE) sequence was utilized to demonstrate fast functionally mediated localized changes in shear wavelength during a motor task. Four healthy adult subjects underwent a visual-cue mediated right-hand finger-tapping task, switching between tapping and no-tapping blocks every 2 seconds. Areas of greatest significance between the stimulus states were localized to the left primary motor cortex. A decreased stiffness of ~30% was observed during task performance compared to rest. Compared to traditional BOLD fMRI with a 20-second block, functional MRE areas of greatest statistical difference demonstrated greater percentage change and greater spatial localization. |
| 134 | 8:03
|
Neuronal Response to Transcranial Direct Current Stimulation (tDCS) in Multiple Sclerosis |
| Marco Muccio1, Lillian Walton Masters2, Giuseppina Pilloni2, Lauren Krupp2, Abhishek Datta3, Marom Bikson4, Leigh Charvet2, and Yulin Ge1 | ||
1Radiology, NYU Grossman School of Medicine, New York City, NY, United States, 2Neurology, NYU Grossman School of Medicine, New York City, NY, United States, 3Soterix Medical Inc., New York City, NY, United States, 4Department of Biomedical Engineering, City College of New York, New York City, NY, United States |
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Transcranial direct current stimulation (tDCS) represents an innovative therapeutic tool for neurological diseases such as multiple sclerosis (MS). In this study, MRI measurements of cerebral blood flow (CBF), venous oxygenation (Yv) and cerebral metabolic rate of oxygen (CMRO2) of MS patients and healthy controls (HCs) were acquired pre-, during- and post-tDCS to investigate its simultaneous effects. Whilst HCs showed an immediate increase (~5%) in CMRO2 (during- versus pre-tDCS, p<0.001), MS patients showed a delayed response to tDCS (7.7% CMRO2 increase pre- versus post-tDCS; p=0.007). We suggest that neuronal response to tDCS represents a potential biomarker of neuronal plasticity. |
| 4370 | 8:06
|
A Feasibility Study of 0.055T MRI for Neuroimaging and Comparison with Clinical 3T MRI |
| Alex T. L. Leong1,2, Yilong Liu1,2, Yujiao Zhao1,2, Linfang Xiao1,2, Henry K. F. Mak3, Tsang Anderson4, Gary K. K. Lau5, Gilberto K. K. Leung4, and Ed X. Wu1,2,6 | ||
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, 4Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 5Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 6School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China |
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Magnetic resonance imaging is a key diagnostic tool in modern healthcare, yet its accessibility is low with the vast majority of clinical MRI scanners being placed in highly specialized radiology departments, large centralized imaging centers, and housed on ground floors of hospitals and clinics. In this study, we deployed our recently developed 0.055T brain ultra-low-field MRI scanner to demonstrate preliminary feasibility in diagnosing tumor and stroke cases with direct comparisons to 3T clinical MRI results. The development of such ULF MRI technologies will enable patient-centric and site-agnostic MRI scanners to fulfill the unmet clinical needs across various global healthcare sites. |
| 255 | 8:09
|
Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence |
| Eloïse MOUGEL1, Julien Valette1, and Marco Palombo2,3,4 | ||
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, 2Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, United Kingdom, 3Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 4School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom |
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This work reports first-time measurements of the time-dependent diffusivity and kurtosis of both water and metabolites in vivo in the mouse gray matter (GM). Our aim is to exploit the complementary information provided by the diffusion of water and intracellular metabolites to investigate and potentially disentangle the role of exchange, structural disorder and restriction in GM. Our results show evidence that water diffusion-time dependence in GM is mostly driven by 1D short-range disorder, potentially alongside exchange. Conversely, metabolites’ diffusion-time dependence is exclusively driven by cellular restrictions, paving a new way to quantify noninvasively microstructural restrictions in GM. |
| 162
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8:12
|
In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter |
| Robert Jones1, Chiara Maffei1, Qiyuan Tian1, Susie Huang1, Vaanathi Sundaresan1, and Anastasia Yendiki1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, United States |
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We investigate the use of generalized anisotropy profiles (GAPs) for delineating boundaries between subcortical gray and white matter in vivo. Replicating results from a previous ex vivo study, we show that GAPs, which are computed from the diffusion propagator, provide more informative contrasts than T1- and T2-weighted images or conventional diffusion metrics. An undersampled Cartesian-grid sampling of q-space can be used to obtain these profiles with a reasonable scan time. Thus, GAPs show promise as a multi-channel contrast that could be used in the future to improve structural segmentation. |
| 19 | 8:15
|
Longitudinal associations between 4D flow MRI intracranial pulsatility, white matter lesions, and perivascular space dilation across 5 years |
| Tomas Vikner1, Nina Karalija1,2, Anders Eklund1,2, Jan Malm3, Lars Nyberg1,2,4, and Anders Wåhlin1,2,5 | ||
1Department of Radiation Sciences, Umeå University, Umeå, Sweden, 2Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden, 3Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden, 4Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden, 5Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden |
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Small vessel disease (SVD) is associated with elevated vascular stiffness and pulsatility, but longitudinal studies are lacking. Using a 4D flow MRI approach sensitive to age-differences in pulsatility in large and small cerebral arteries, we evaluated 5-year changes in pulsatility in relation to changes in white matter lesions (WML) and perivascular spaces (PVS), radiological markers of SVD. Pulsatility change correlated with WML and PVS volume change, but pulsatility at baseline did not predict WML and PVS progression. However, WML and PVS volumes at baseline predicted 5-year pulsatility change, suggesting that microvascular dysfunction associated with SVD accelerates pulsatility increases. |
| 3729
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8:18
|
Hemodynamics, brain volume and cortical development in fetuses with complex congenital heart disease |
| Cong Sun1, Xinyi Xu2, Jiaguang Song3, Yufan Chen1, Chao Zhang1, Yuhao Liao2, Wanrong Luo2, Jinxia Zhu4, Dan Wu2, and Guangbin Wang1,3 | ||
1Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 2Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 3Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 4Siemens Healthineers Ltd, Beijing, China |
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Fetuses with complex congenital heart disease (CHD, n=23) and healthy gestational age-matched controls (n=25) were investigated. Hemodynamics were assessed by Doppler examinations. Fetal brain MR images were segmented to get global and regional morphological measurements. Results showed that fetuses with CHD have abnormally higher umbilical artery pulsation index and smaller global and regional brain volumes as early as 20-30 weeks; however, thickness, mean curvature, and sulcal depth of different brain lobes showed no statistical difference from the healthy controls. These results add to growing evidence of antenatal brain abnormalities of the CHD fetuses during the second and early third trimesters. |
| 36 | 8:21
|
MRI with UTE: Capability for Nodule Detection and Lung RADS Classification as Compared with Standard- and Reduced-Dose CTs in Screening Cohort |
| Yoshiharu Ohno1,2, Masao Yui3, Kaori Yamamoto3, Daisuke Takenaka4, Takeshi Yoshikawa4, Masato Ikedo3, Saki Takeda5, Akiyoshi Iwase5, Yuka Oshima1, Nayu Hamabuchi1, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Takahiro Ueda1, Hirotaka Ikeda1, 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, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 5Radiology, Fujita Health University Hospital, Toyoake, Japan |
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No report has been found to compare nodule detection and Lung RADS classification capabilities in lung cancer screening cohort among pulmonary MR imaging with 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 nodule detection and Lung RADS classification among pulmonary MR imaging with UTE, LDCT and SDCT in lung cancer screening population. |
| 145 | 8:24
|
High Spatiotemporal Resolution Breast MR Increases Cancer Detection and Reduces Unnecessary Biopsies in Patients with Marked BPE |
| Sarah Eskreis-Winkler1, Linden Dixon1, Ragni Jindal1, Janice Sung1, Kimberly Feigin1, Elizabeth J. Sutton1, Danny Martinez1, and Katja Pinker1 | ||
1Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Contrast-enhanced breast MRI is a powerful tool for breast cancer detection, but can be limited in the setting of marked background parenchymal enhancement (BPE), which can mask underlying lesions. We found that among patients with marked BPE, positive predictive value (PPV2) and cancer detection rate (CDR) were statistically significantly increased when the high spatial/high temporal resolution protocol, rather than the standard protocol, was used. The interval cancer rate was not significantly different between these groups. |
| 723
|
8:27
|
Development of MRI-based 3D Radiomics Signatures for Preoperative Risk Stratification of Patients with Histology-proven Endometrial Cancer |
| Thierry L. Lefebvre1,2, Yoshiko Ueno3,4, Anthony Dohan5,6, Avishek Chatterjee1,7, Martin Vallières1,8, Eric Winter-Reinhold9, Sameh Saif3, Ives R. Levesque1,10, Xing Ziggy Zeng11, Reza Forghani3,9, Jan Seuntjens1, Philippe Soyer5,6, Peter Savadjiev3,12, and Caroline Reinhold3,9 | ||
1Medical Physics Unit, McGill University, Montreal, QC, Canada, 2Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 3Department of Diagnostic Radiology, McGill University, Montreal, QC, Canada, 4Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 5Department of Radiology, Cochin Hospital, AP-HP.Centre, Paris, France, 6Faculté de Médecine, Université de Paris, Paris, France, 7Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands, 8Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada, 9Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, QC, Canada, 10Research Institute of McGill University Health Centre, Montreal, QC, Canada, 11Department of Obstetrics and Gynecology, McGill University Health Centre, Montreal, QC, Canada, 12School of Computer Science, McGill University, Montreal, QC, Canada |
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Radiomics analysis on standard MRI prior to surgery holds potential to help identifying high-risk histopathological features of endometrial carcinoma, including FIGO stage, deep myometrial invasion, lymphovascular space invasion and tumor grade, thus supporting preoperative risk stratification for optimal patient management. This dual-center retrospective study evaluated the role of radiomics to assess high-risk phenotypes of endometrial cancer in women who underwent 1.5-T MRI before hysterectomy. Radiomics-based machine learning models provided consistent clinically acceptable performance for differentiating early from advanced FIGO stage endometrial carcinoma and for differentiating low- from high-risk histopathological markers in two independent datasets from different institutions on preoperative MRI. |
| 666
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8:30
|
Whole-body fasciculation detection in Amyotrophic Lateral Sclerosis (ALS) using motor unit MRI (MUMRI) |
| Linda Heskamp1, Matthew G. Birkbeck1,2,3, Julie Hall1,4, Ian S. Schofield1, Hugo de Oliveira5, Timothy L. Williams5, Roger G. Whittaker1, and Andrew M. Blamire1 | ||
1Newcastle University Translational and Clinical Research Institute, 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, Freeman Hospital, Newcastle upon Tyne NHS Foundation Trust, Newcastle upon Tune, United Kingdom, 4Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom, 5Directorate of Clinical Neurosciences, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom |
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The spontaneous contraction of motor units in muscle, i.e. fasciculation, has been recognised as an important diagnostic marker in amyotrophic lateral sclerosis (ALS). Fasciculation can be imaged with a novel MRI technique called motor unit MRI. This technique uses a diffusion weighted sequence on which fasciculation presents as short-living signal voids. We demonstrated an increased fasciculation rate in ALS patients compared to healthy controls by assessing the four body regions relevant in the diagnosis of ALS. The affected body regions differed between patients. This is in line with the heterogeneous disease onset and supports our proposed whole-body approach. |
| 510 | 8:33
|
Phase-based 3D diffusion mapping using RF phase-modulated gradient echo imaging |
| Daiki Tamada1 and Scott B. Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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A novel 3D diffusion mapping method using RF phase-modulated gradient echo imaging was developed by encoding diffusion weighting into signal phase. We developed closed form signal equations based on configuration theory. A four-pass acquisition and lookup table-based reconstruction is performed to estimate diffusion and T2 simultaneously. Simulation results revealed excellent agreement of signal magnitude and phase between Bloch equation and the developed equations. Phantom and in vivo studies demonstrated the feasibility of the proposed approach. These results demonstrate that the proposed method can enable qualitative and quantitative diffusion imaging with smaller gradient amplitude compared to the conventional diffusion-weighted imaging. |
| 271 | 8:36
|
Improved Myocardial Scar Visualization with Two-minute Free-breathing Joint Bright- and Black-blood Late Gadolinium Enhancement Imaging |
| Aurelien Bustin1,2,3, Soumaya Sridi2, Aurelien Maillot1, Xavier Pineau2, Marta Nuñez-Garcia1, Maxime Sermesant1,4, Dounia El Hamrani1, Julie Magat1, Jérôme Naulin1, Stéphanie Clément-Guinaudeau2, Claire Bazin2, Gäel Dournes2, Michel Montaudon2, François Laurent2, Pierre Jaïs1,5, Matthias Stuber1,3,6, and Hubert Cochet1,2 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Bordeaux, France, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4INRIA, Université Côte d’Azur, Sophia Antipolis, France, 5Department of Cardiac Electrophysiology, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 6CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Black-blood late gadolinium enhancement (LGE) techniques are increasingly being used to uncover myocardial scar patterns that may be otherwise confused with blood signal on conventional bright-blood LGE, especially when involving the subendocardium. With signal-attenuated blood and dark muscle representation, these techniques may however be hampered by a lack of anatomical information, making spatial localization of myocardial injuries a challenging task. Here we aim to assess the clinical performance of a novel LGE technique that combines both bright- and black-blood imaging in a single time-efficient free-breathing exam to obtain LGE images with unprecedented scar contrast and localization. |
| 3101 | 8:39
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Preliminary assessment of 3D APT-weighted combined with diffusion weighted imaging in characterization of bone and soft tissue tumors |
| Ying Li1, Jingliang Cheng1, Wenhua Zhang1, and Liangjie Lin2 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Philips Healthcare, Beijing, 100102, China, Beijing, China |
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Amide proton transfer weighted imaging (APTWI) is a noninvasive emerging molecular MRI technique based on chemical exchange saturation transfer (CEST) between amide protons of proteins and polypeptides and free water protons. This work investigated and evaluated the ability of APT parameter in distinguishing benign from malignant bone and soft tissue tumors. Results indicated that APTWI combined with diffusion weighted imaging showed a significantly improved differentiation between benign and malignant tumors. |
| 5036 | 8:42
|
Evaluation of High Resolution Diffusion MRI on the Next-Generation 7T scanner |
| An T Vu1,2, Alexander JS Beckett3,4, Salvatore T Torrisi3,4, Sinyeob Ahn5, Michael Koehler6, Peter Dietz6, and David A Feinberg3,4 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Radiology, San Francisco Veteran Affairs Health Care System, San Francisco, CA, United States, 3Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, 4Advanced MRI Technologies, Sebastopol, CA, United States, 5Siemens Medical Solutions USA, Inc., Melvern, PA, United States, 6Siemens Healthcare, Erlangen, Germany |
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The newly developed head gradient (200 mT/m Gmax, 900 T/m/s SR) on the new NexGen 7T system provides many potential benefits for high-resolution diffusion imaging. Faster, stronger gradients can significantly reduce diffusion encoding times and TE for up to a 3-fold improvement SNR while also reducing TR and total scan time. We demonstrate these benefits in high resolution diffusion imaging applications with b-values of up to 10,000 s/mm2 at 7T. |
| 223 | 8:45
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300 mT/m diffusion MRI 'below the neck': First results in healthy prostate |
| Malwina Molendowska1, Marco Palombo1, Fabrizio Fasano2,3, Derek K. Jones1, Daniel C. Alexander4, Eleftheria Panagiotaki4, and Chantal Tax1,5 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Siemens Healthcare Ltd, Camberly, United Kingdom, Camberly, United Kingdom, 3Siemens Healthcare GmbH, Erlangen, Germany, Erlangen, Germany, 4Centre for Medical Image Computing, University College London, London, United Kingdom, 5Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands |
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This work showcases the first ever use of ultra-strong gradient in ’below the neck’ human MRI. It assesses the benefits, compared to more commonly-available gradient strengths, of 300mT/m gradients for comprehensive characterization of the prostate gland. Leveraging such gradient amplitudes enables unique tissue contrasts, with a potential to improve specificity and/or sensitivity of current MRI methods for prostate cancer characterisation and detection. |
9:15
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Taking Control of Your Data using Reproducible QC Workflows | |
| Joset Etzel | ||
| Washington University in St. Louis | ||
9:45
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Automating the Quality Assessment of MRI with MRIQC | |
| Oscar Esteban | ||
| Lausanne University Hospital (CHUV) and University of Lausanne | ||
10:15
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Quality Control in Preclinical MRI: Where Do Artifacts Come From & How to Fix Them | |
| Eilidh MacNicol | ||
| King’s College, London, United Kingdom | ||
10:45
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Is a Universal QC in MRI Impossible? | |
| Satrajit Ghosh | ||
| Massachusetts Institute of Technology | ||
9:15
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Anatomy & Physiology of the Liver & Bile Ducts: What MRI Physicists Need to Know | |
| Maria Antoinetta Bali1 | ||
1Institut Jules Bordet, Belgium |
9:45
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Anatomy & Physiology of the Pancreas: What MRI Physicists Need to Know | |
| Kristin K. Porter1 | ||
1University of Alabama at Birmingham, Birmingham, AL, United States |
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MRI allows for noninvasive evaluation of the pancreatic parenchyma, pancreatic ducts, exocrine function, adjacent soft tissues, and vascular structures in a single examination. This presentation reviews the anatomy, physiology, and MR imaging of the pancreas that MRI Physicists need to know. At its conclusion, participants should be able to:
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10:15
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Diseases of the Liver from Metabolic Disease to Cancer: What Radiologists Care About & Wish They Could Do | |
| Manuela Franca1 | ||
1Centro Hospitalar Universitário do Porto, Porto, Portugal |
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MR imaging plays an invaluable role for the non-invasive assessment of diffuse liver diseases and for detecting and characterizing focal liver lesions, frequently avoiding liver biopsies. Diffuse liver diseases may result from metabolic, alcoholic, viral, toxic, or genetic disorders. In these patients, quantification of hepatic fat, iron and fibrosis is crucial for the diagnosis, treatment monitoring and follow-up. The end-stage of diffuse liver diseases is liver cirrhosis, which can be diagnosed by MR imaging. On the other hand, MR imaging is the cornerstone for the characterization of benign and malignant focal liver lesions, being crucial for the optimal patient management. |
10:45
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Diseases of the Pancreas: What Radiologists Care About & Wish They Could Do | |
| Gaurav Khatri1 | ||
1UT Southwestern Medical Center, Dallas, TX, United States |
| 585 | 9:15
|
Automatic detection of spatio-temporal patterns of interictal epileptic activity with fMRI |
| Cristina Tobías1, Eneko Uruñuela1, Vicente Ferrer-Gallardo1, Hannah Goldberg2, Christine Engelman2, Mark Lowe2, Stephen E. Jones2, and César Caballero-Gaudes1 | ||
1Signal Processing in Neuroimaging, Basque Center on Cognition Brain and Language, San Sebastián, Spain, 2Imaging Institute, Cleveland Clinic, OH, USA., Cleveland, OH, United States |
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We propose a novel methodology to identify spatio-temporal patterns of interictal epileptic activity in refractory epileptic patients using only BOLD functional MRI. It is based on clustering the activity-inducing signal deconvolved from the fMRI data with the Infomap algorithm. The proposed approach was validated on data acquired during a finger tapping task, and evaluated in four epileptic patients scanned at 7T. This method obtained activation maps that were concordant with the results obtained with EEG-informed GLM and MEG-based dipole source localization in 3 out of 4 patients, demonstrating its potential for mapping epileptic activity based only on fMRI data. |
| 586
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9:27
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Detecting tract-specific abnormalities in individual patients with epilepsy using fixel-based analysis |
| Remika Mito1, Mangor Pedersen2, Robert Smith1,3, Donna Parker1, Leonid Churilov4, David Vaughan1,3,5, and Graeme Jackson1,3,5 | ||
1Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia, 2Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand, 3Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia, 4Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia, 5Department of Neurology, Austin Health, Melbourne, VIC, Australia |
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Fibre tract-specific abnormalities have been identified in various neurological disorders and conditions using fixel-based analysis. However, for this technique to be useful in clinical practice, such abnormalities should be detectable in individual patients. In this work, we apply the fixel-based analysis framework to detect fibre density and cross-sectional changes in individual patients with varying epilepsy diagnoses. Abnormalities could be detected in individual epilepsy patients, both at the tract level, and at the fixel-level, with different patterns of tract-based abnormality observed across the different epilepsy syndromes. This information could be clinically valuable when examining individual patients. |
| 587
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9:39
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Automated lesion prediction and characterisation of focal cortical abnormalities: a MELD study |
| Konrad Wagstyl1, Mathilde Ripart2, MELD Consortium3, Hannah Spitzer4, Torsten Baldeweg2, and Sophie Adler2 | ||
1Wellcome Centre for Human Neuroimaging, UCL, London, United Kingdom, 2Great Ormond Street Institute for Child Health, UCL, London, United Kingdom, 3UCL, London, United Kingdom, 4Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany |
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Identification of subtle epilepsy-causing focal cortical dysplasias (FCD) on MRI remains an outstanding challenge during presurgical assessment of patients. The Multi-centre Epilepsy Lesion Detection (MELD) project created an MRI lesion detection algorithm using a large, heterogenous cohort. The algorithm had a sensitivity of 67%, performing well on unseen test sites. Analysis of MRI lesions revealed distinct subgroups, with differing histopathological subtypes, imaging features and detection rates. Individual patient reports highlight a predicted lesion’s location, imaging features and their relative saliency to the classifier. This tool has the potential to improve presurgical lesion identification on MRI from patients with epileptogenic FCD. |
| 588 | 9:51
|
Ultra-high field normative quantitative susceptibility mapping (QSM) in children and cortical pathology in drug-resistant focal epilepsy |
| Chiara Casella1,2, Katy Vecchiato1,2,3, Ayse Sila Dokumaci2,4, Philippa Bridgen2,4, Shaihan Malik2,4, Joseph V Hajnal2,4, Sharon Giles2,4, Jan Sedlacik1,2,4,5, Karin Shmueli2,6, Tom Wilkinson2,4, Raphael Tomi-Tricot2,4,7, David W Carmichael2,4, and Jonathan O'Muircheartaigh1,2,3,8 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 3Department for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 4School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Radiology Department, Great Ormond Street Hospital for Children, London, United Kingdom, 6Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 7MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 8MRC Centre for Neurodevelopmental Disorders, London, United Kingdom |
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We developed an analysis pipeline to explore normative QSM values in children and adolescents at 7T, and assessed the feasibility of this approach for detecting tissue-alterations in paediatric drug-resistant epilepsy. Normative values consistent with previous QSM studies were reported for deep brain regions, and normative cortical susceptibility values were described for the first time in children and adolescents at 7T. Finally, sensitivity to susceptibility changes in epileptogenic lesions was demonstrated using the analysis pipeline. |
| 589 | 10:03
|
Multimodal Lesion Phenotyping Improves Seizure Outcome Classification after Traumatic Brain Injury: An EpiBioS4Rx Study |
| Rachael Garner1, Alexis Bennett1, Akul Sharma1, Michael Douglas Morris2, Marianna La Rocca1,3, Giuseppe Barisano1, Ruskin Cua4, Paul Vespa2, Arthur W Toga1, and Dominique Duncan1 | ||
1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 3Dipartimento Interateneo di Fisica, Università di Bari, Bari, Italy, 4USC Department of Radiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States |
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Posttraumatic epilepsy (PTE), or recurrent seizures after traumatic brain injury (TBI), is a debilitating complication of TBI. We present a multimodal approach to classify seizure outcomes using computed tomography (CT) and magnetic resonance imaging (MRI) features that characterize lesion phenotypes. Five logistic regression models to predict seizure outcome are presented, using patient demographics and clinical information in conjunction with CT and MRI variables that describe lesion characteristics including contusion type and location as well as whole-brain lesion volumetrics. The optimal model utilized all four categories of features, yielding 91.4% sensitivity, 75% specificity, and 0.886 area under the curve performance. |
| 590 | 10:15
|
Non-invasive metabolic biomarkers of interneuron cell transplantation therapy in an epilepsy model |
| Marina Radoul1,2, Kai Qiao1,2, Donghyun Hong2, Mansi B. Parekh3, Philip Hampel3, Eric Steven Sevilla3, David Traver3, Hannah Kim3, Marina Bershteyn3, Yves Maury3, Catherine Priest3, Cory R. Nicholas3, 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 Imaging, University of California San Francisco, San Francisco, CA, United States, 3Neurona Therapeutics, San Francisco, CA, United States |
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Interneuron transplantation targeting GABAergic network dysfunction is a novel alternative therapeutic approach for chronic focal epilepsy. However, in vivo monitoring of response to such cellular therapeutics remains challenging. Here, we combined high resolution in vivo and ex vivo 1H MRS to investigate the metabolic alterations in epileptic hippocampus in a preclinical model of chronic mesial temporal lobe epilepsy, and the effect of human inhibitory interneuron transplantation on metabolism. We discovered that hippocampal levels of GABA, NAA/Cr, GLX/Cr, GABA/GLX and GABA/NAA were reversed to healthy control levels in epileptic mice transplanted with inhibitory interneurons, providing unique biomarkers of therapeutic response. |
| 591
|
9:15
|
Imaging Neuronal Activity at Fast Timescales in Humans using MR Elastography |
| Shruti Mishra1,2, Bin Deng2,3,4, W. Scott Hoge1,2,3, Yanmei Tie2,5, Giacomo Annio6, Ralph Sinkus6, and Samuel Patz1,2 | ||
1Radiology, Brigham & Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 4Radiology, Massachusetts General Hospital, Boston, MA, United States, 5Neurosurgery, Brigham & Women's Hospital, Boston, MA, United States, 6Laboratory for Vascular Translational Science (LVTS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France |
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A stimulus-interleaved magnetic resonance elastography (MRE) sequence was utilized to demonstrate fast functionally mediated localized changes in shear wavelength during a motor task. Four healthy adult subjects underwent a visual-cue mediated right-hand finger-tapping task, switching between tapping and no-tapping blocks every 2 seconds. Areas of greatest significance between the stimulus states were localized to the left primary motor cortex. A decreased stiffness of ~30% was observed during task performance compared to rest. Compared to traditional BOLD fMRI with a 20-second block, functional MRE areas of greatest statistical difference demonstrated greater percentage change and greater spatial localization. |
| 592 | 9:27
|
Ultra-high field motion-corrected MRI can visualize the mesoscale organization of the human cerebellum. |
| Nikos Priovoulos1, Mads Andersen2,3, Vincent Oltman Boer4, and Wietske van der Zwaag1 | ||
1Spinoza Center for Neuroimaging, Amsterdam, Netherlands, 2Philips Healthcare, Copenhagen, Denmark, 3Lund University Bioimaging Center, Lund University, Lund, Sweden, 4Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark |
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The cerebellum is an important but challenging to image part of the human brain, due to its thin and highly-folded cortex. Here we demonstrate that using motion-corrected high-resolution 7T-MRI data, we can derive segmentations and surfaces of the cerebellar cortex with unprecedented accuracy in vivo. We expect this technique to greatly facilitate cognitive and clinical neuroscience research in the cerebellum. |
| 593 | 9:39
|
TWo Interleaved Steady-states for T2 And Rf Estimation (TWISTARE) - a fast 3D-GRE phase-based method of T2 and B1 mapping in 7T brain imaging |
| Dana Yacobi1, Amir Seginer2, and Rita Schmidt1 | ||
1Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel, 2Siemens Healthcare Ltd, Rosh Ha’ayin, Israel |
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Quantitative T2 mapping is an important tool towards standardization of MRI in clinics and research, whose implementation in 7T MRI will gain SNR and resolution. In this work, we demonstrate a phase-based method with fast 3D spoiled GRE acquisition to estimate T2 and B1 maps in 7T brain imaging. We introduce a new approach employing a dual steady-state with interleaving flip angles - denoted as TWISTARE. This approach is suited to address the RF field inhomogeneity in 7T and can shorten the total scan duration. The new approach was examined using a 3D head-shaped phantom and in human imaging. |
| 594 | 9:51
|
T2*-weighted dual-polarity skipped-CAIPI 3D-EPI: 400 microns isotropic whole-brain QSM at 7 Tesla in 6 minutes |
| Rüdiger Stirnberg1, Andreas Deistung2, and Tony Stöcker1,3 | ||
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle, Germany, 3Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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We propose a dual-polarity readout technique to eliminate residual segmentation artifacts in interleaved multi-shot EPI despite established echo time shifting. The method only requires retrospective averaging of two or more complex-valued images acquired with alternating EPI readout polarity across measurements. The approach has been integrated into a custom skipped-CAIPI 3D-EPI sequence, combining highly segmented EPI with CAIPIRINHA parallel imaging. We present dual-polarity skipped-CAIPI 3D-EPI for ultrahigh-resolution, rapid, motion-robust whole-brain T2*-weighted imaging and quantitative susceptibility mapping at 7 Tesla. We demonstrate its capability to acquire exquisite imaging contrast at 0.7mm and 0.4mm isotropic resolution in only 1:15 and 6:14 [min:s], respectively. |
| 595
|
10:03
|
Investigating the relationship between cortical myelin and functional brain activity |
| Eleonora Patitucci1, Michael Germuska1, Valentina Tomassini2,3,4,5,6, and Richard G Wise1,2,3 | ||
1School of Psychology, CUBRIC, Cardiff University, Cardiff, United Kingdom, 2Department of Neuroscience, Imaging and Clinical Sciences, University “G. d'Annunzio” of Chieti-Pescara, Chieti, Italy, 3Institute for Advanced Biomedical Technologies, University “G. d'Annunzio” of Chieti-Pescara, Chieti, Italy, 4MS Centre, Neurology Unit, “SS. Annunziata” University Hospital, Chieti, Italy, 5Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom, 6Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, United Kingdom |
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The role of cortical myelin for cortical function is still under debate. Here we investigate the relationship between cortical myelination (represented by R1) and functional activation (represented by BOLD-fMRI and arterial spin labelling CBF signals) during the execution of a motor task. We demonstrate associations between cortical myelination and functional activity in a subset of task-responding regions. We observe a decrease of the significance of these relationships in the deeper cortical layers. |
| 596 | 10:15
|
Laminar profiling in advanced susceptibility imaging reveals variations in iron and myelin concentrations |
| Subin Lee1, Hyeong-Geol Shin1, and Jongho Lee1 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of |
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The in-vivo imaging of iron and myelin concentrations along cortical laminae in the brain has significance in advancing knowledge about the roles of iron and myelin in brain function and in disease. In this study, we apply χ-separation, a recently developed advanced susceptibility imaging method, to explore changes in iron and myelin content throughout the cortex and into the white matter. Our findings show that iron and myelin peak at different laminar surfaces and that there is regional differences in the intensity profiles. The results suggest regional and laminar variation of iron and myelin throughout the brain. |
| 597 | 10:27
|
Synthetic MRI with MR-STAT: results from a clinical trial |
| Jordi P.D. Kleinloog1,2, Stefano Mandija1,2, Federico D'Agata3, Oscar van der Heide1,2, Beyza Koktas1, Sarah M. Jacobs4, Cornelis A.T. van den Berg1,2, Jeroen Hendrikse2, Anja G. van der Kolk2, and Alessandro Sbrizzi1,2 | ||
1Computational Imaging Group for MR diagnostic and therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands, 3Department of Neurosciences, University of Turin, Turin, Italy, 4Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, Netherlands |
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Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) reconstructs multiple quantitative MR parameters from a single fast scan. This quantitative information can be leveraged for several purposes, including the synthetization of clinically desired image contrasts. Preliminary results of the first clinical trial using MR-STAT in patients with neurological diseases show that the synthetically generated contrast images (i.e., T1w, T2w, PDw and FLAIR) were acceptable for diagnostic use (5-point Likert scale ≥ 3), although the score was lower compared to conventional contrasts. This highlights the potential of MR-STAT to provide synthetic contrasts on top of quantitative maps, while reducing scan time. |
| 598
|
Pitch: 9:15 Poster: 9:17 Plasma 1
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AI-based Automated Liver Image Prescription: Evaluation across Patients and Pathologies and Prospective Implementation and Validation |
| Ruiqi Geng1,2, Collin J. Buelo1,2, Mahalakshmi Sundaresan3, Jitka Starekova1, Nikolaos Panagiotopoulos1,4, Thekla Helene Oechtering1,4, Edward M. Lawrence1, Marcin Ignaciuk1, Scott B. Reeder1,2,5,6,7, and Diego Hernando1,2,3,7 | ||
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, 4Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
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An automated AI-based method for liver image prescription from a localizer was recently proposed. In this work, this AI method was further evaluated in a larger retrospective patient cohort (1,039 patients for training/testing), across pathologies, field strengths, and against radiologists’ inter-reader reproducibility performance. AI-based 3D axial prescription achieved a S/I shift of <2.3 cm compared to manual prescription for 99.5% of test dataset. The AI method performed well across all sub-cohorts and better in 3D axial prescription than radiologists’ inter-reader reproducibility performance. The AI method was successfully implemented on a clinical MR system and showed robust performance across localizer sequences. |
| 599 | Pitch: 9:17 Poster: 9:19 Plasma 2
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Deep Learning-guided Weighted Averaging for Signal Dropout Compensation in Liver DWI |
| Fasil Gadjimuradov1,2, Thomas Benkert2, Marcel Dominik Nickel2, and Andreas Maier1 | ||
1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Signal-dropouts caused by cardiac motion are frequently observed artifacts in diffusion-weighted imaging (DWI) of the liver. When several repetitions of a given slice are affected, uniform averaging results in locally reduced liver signal. This work proposes an adaptive weighted averaging of repetitions to locally suppress signal-dropouts. Therefore, weight maps are estimated by an algorithm which computes robust patch statistics under the guidance of a learned classifier which marks corrupted repetitions. In comparison to other methods, the proposed approach enables more homogeneous liver signal and less biased quantitative maps while sacrificing little signal-to-noise ratio (SNR). |
| 600 | Pitch: 9:21 Poster: 9:23 Plasma 3
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Dependence of liver R2* on the fat spectral model. |
| Gavin Hamilton1, Alexandra N Schlein1, Walter C Henderson1, Danielle N Batakis1, Lael K Ceriani1, Ashley L Louie1, Michael S Middleton1, Yesenia Covarrubias1, Kathryn J Fowler1, and Claude B Sirlin1 | ||
1Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, United States |
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Using MRS, we examined whether the assumed fat spectral model (6-, or 9-peak) altered liver R2* estimation in vivo. We found that liver R2* estimation was model-independent, and liver R2*was not significantly different from water R2* (p = 0.07). However, fat R2* values estimated for these models were different (p < 0.0001), suggesting that fat R2* estimation in high-fat tissues may be model dependent. |
| 601
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Pitch: 9:25 Poster: 9:27 Plasma 4
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Diagnostic performance of magnetic resonance elastography in mice with NASH and significant metabolic liver disease. |
| Meryem KHALFALLAH1, Sabrina Doblas1, Felicia Julea1, Catherine Postic2, Dominique Valla3, Valérie Paradis3,4, Philippe Garteiser1, and Bernard Van Beers1,5 | ||
1Université de Paris, Laboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR 1149, Inserm, F-75018 Paris, France, Paris, France, 2Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France., Paris, France, 3Service d’hépatologie et UMR1149, Hôpital Beaujon, Clichy-la-Garenne ; APHP, Université de Paris et Inserm, Clichy-la-Garenne, France, 4Diderot, CNRS, Centre de Recherche sur l'Inflammation (CRI), Paris, F-75890, France., Paris, France, 5Department of Radiology, AP-HP, Beaujon University Hospital Paris Nord, F-92110 Clichy, France, Clichy, France |
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Nonalcoholic steatohepatitis (NASH) and significant metabolic liver disease (MLD) are progressive forms of nonalcoholic fatty liver disease (NAFLD). MR elastography parameters have been shown to be useful for assessing NAFLD/NASH and liver inflammation. To assess the role of viscoelastic parameters in diagnosing NASH and significant MLD, MRE hepatic examinations were performed in mice with NAFLD. Our results showed that the diagnostic performance of MR elastography was higher in significant MLD than in NASH. This may be explained by inflammation and fibrosis occurring in indeterminate NASH cases included in MLD, and by poor performance of MR elastography to detect hepatocyte ballooning. |
| 602 | Pitch: 9:27 Poster: 9:29 Plasma 5
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Histological correlates of DR-HIGADOS microstructural metrics in the mouse and human liver |
| Francesco Grussu1, Kinga Bernatowicz1, Ignasi Barba2, Irene Casanova-Salas3, Natalia Castro3, Marco Palombo4, Sara Simonetti3,5, Juan Francisco Corral6,7, Marta Vidorreta8, Xavier Merino6,7, Richard Mast6,7, Núria Roson6,7, Manuel Escobar Amores6,7, Nahúm Calvo‐Malvar6,9, Josep R. Garcia-Bennett9, Rodrigo A. Toledo10, Joaquin Mateo3, Paolo Nuciforo5, Elena Garralda11, and Raquel Perez-Lopez1,7 | ||
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, 4Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 5Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 6Institut de Diagnòstic per la Imatge (IDI), Catalonia, Spain, 7Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain, 8Siemens Healthineers, Madrid, Spain, 9Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain, 10Gastrointestinal and Endocrine Tumors Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 11Early Clinical Drug Development Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain |
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“Diffusion-Relaxation Hepatic Imaging via Generalised Assessment of DiffusiOn Simulations” (DR-HIGADOS) is a recent liver diffusion MRI method for intra-cellular fraction, cell size and cellularity measurement. Here we compare DR-HIGADOS metrics to counterparts from histology in two data sets: i) preclinical 9.4T MRI of formalin-fixed patient-derived xenograft mouse livers, with co-localised histological sections; ii) clinical 1.5T in vivo MRI of metastatic and primary liver cancer patients, with co-localised biopsies. Results confirm that DR-HIGADOS cell size and cellularity are histologically meaningful, paving the way to the application of the new technique in clinical studies. |
| 603
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Pitch: 9:29 Poster: 9:31 Plasma 6
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Free-Breathing, 3D Phase Sensitive Inversion Recovery T1-Weighted MRI of the Liver |
| 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, 3GE Healthcare, Waukesha, WI, United States, 4GE 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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Gadoxetic acid (GA)-enhanced hepatobiliary phase T1-weighted (HBP-T1w)-MRI is widely used in the clinical setting for detection of focal liver lesions (FLLs). However, complete characterization of liver lesions also requires T2w, diffusion weighted (DWI) and dynamic contrast enhanced (DCE) imaging. These methods often have inferior image spatial resolution compared to GA-enhanced HBP-T1w and may be unable to resolve small (<1cm) lesions visible only on HBP-T1w. In this work, we propose a novel phase sensitive inversion recovery (PSIR) T1w-MRI in combination with 3D radial stack-of-stars imaging and model-based water/fat separation for improved detection and characterization of small FLLs. |
| 604 | Pitch: 9:31 Poster: 9:33 Plasma 7
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The association of Liver Stiffness with Liver tissue T1 and Superior Mesenteric Artery blood flow across disease severity. |
| Christopher R Bradley1,2, Deirdre Mcgrath1,2, Eleanor F Cox1,2, Naaventhan Palaniyappan2, Robert Scott2, Indra N Guha2, Guruprasad P Aithal2, and Susan T Francis1,2 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Biomedical Research Centre, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom |
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We assess liver stiffness measured using magnetic resonance elastography (MRE) and longitudinal relaxation time T1 in three groups: healthy volunteers, non-alcoholic fatty liver disease patients and compensated cirrhosis patients. MRE liver stiffness was measured using the Quantitative Imaging Biomarker Alliance (QIBA) recommendation. T1 longitudinal relaxation time of the liver was measured using a respiratory triggered inversion recovery fat-suppressed spin-echo echo planar imaging scheme. A positive correlation between Liver tissue T1 and Liver stiffness (R=0.70, p<0.0001) across the 3 groups was observed. Superior mesenteric artery flow also correlates with liver stiffness (R=0.62, p<0.002) suggesting worsening hyperdynamic circulation with progressive fibrosis. |
| 605 | Pitch: 9:33 Poster: 9:35 Plasma 8
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Free Breathing Abdominal Tissue Quantification using 2D MR Fingerprinting with quadratic RF phase (qRF-MRF) |
| Sherry Huang1, Yong Chen2, Reid Bolding3, Leonardo Kayat Bittencourt2,4, Mark A 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, 4Radiology, University 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), and water fraction (WF) using quadratic RF phase Magnetic Resonance Fingerprinting (qRF-MRF). We report the quantitative comparison of a cohort of 10 healthy subjects between free-breathing and breath-hold qRF-MRF as well as the comparison to standard clinical protocols. Free-breathing results are comparable to both breath-hold and standard clinical protocols (p > 0.05), indicating the stability and reproducibility of the method. |
| 606 | Pitch: 9:35 Poster: 9:37 Plasma 9
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Dynamics of insulin secretion and pancreatic blood-flow: a simultaneous ASL perfusion imaging / hyperglycemic clamp study |
| Manuel Taso1, Donald C Simonson2, Lauren Phung1, Colleen McGrath1, Stephanie Waldman1, Fotini Papadopoulou1, and David C Alsop1 | ||
1Division of MRI Research, department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States |
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Loss of β-cell function and mass are hallmarks of type-1 and type-2 diabetes. Non-invasive imaging of endocrine pancreatic function would provide valuable insights into the degree and temporal patterns of endocrine dysfunction. For this purpose, Arterial Spin Labeling (ASL) is a uniquely suited non-invasive technique. We therefore conducted a dynamic ASL study during a hyperglycemic clamp to explore the dynamics of insulin secretion and pancreatic blood-flow. This study showed that hyperglycemia and arginine-stimulated insulin secretion causes an increase in pancreatic perfusion and that the rate of insulin concentration change seems to be driving perfusion changes rather than absolute concentration. |
| 607 | Pitch: 9:37 Poster: 9:39 Plasma 10
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Reduced Field-of-View Intravoxel Incoherent Motion of the Human Pancreas Reflects Biphasic Response to Glucose Ingestion |
| Chengyue Wu1, Thomas E Yankeelov1,2,3,4,5,6, and John Virostko1,2,3,4 | ||
1Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States, 2Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, United States, 3Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, United States, 4Department of Oncology, The University of Texas at Austin, Austin, TX, United States, 5Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, United States, 6Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Monitoring of the pancreatic islet is needed to assess individuals at risk for developing diabetes and facilitate development of islet-directed therapies. Pancreatic islets may be detectable due to their high vascularity. We imaged pancreas perfusion using both whole field-of-view and reduced field-of-view Intravoxel Incoherent Motion (IVIM) and found that the reduced field-of-view technique achieved similar image quality in half the time. We then performed a reduced field-of-view IVIM acquisition on four healthy controls. We found that pancreas perfusion increased dynamically in response to oral glucose challenge, exhibiting a biphasic increase that parallels the time course of insulin secretion. |
| 608 | Pitch: 9:39 Poster: 9:41 Plasma 11
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Measurement of pancreas graft temperature during cold preservation in MR scanner |
| Jan Weis1 and Olle Korsgren2 | ||
1Department of Medical Physics, Uppsala University Hospital, Uppsala, Sweden, 2Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden |
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Phosphorus (31P) and proton (1H) magnetic resonance spectroscopy (MRS) are the methods of choice in the assessment of the pancreas graft quality before organ or islet of Langerhans transplantation. During the transport and MR scanning hypothermic storage (4±2 oC) has to be maintained. The aim of this study was to investigate if it is possible to measure pancreas graft temperature in a MR scanner using 1H-MRS and temperature constants obtained by the calibration experiments with the water-vegetable oil phantom. The present study has shown that 1H-MRS is able to measure the graft temperature during MR scanning. |
| 609 | Pitch: 9:41 Poster: 9:43 Plasma 12
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Deep Learning Reconstruction: Clinical Utility for 3D MRCPs Obtained by Different k-Space Data Acquisition Methods in IPMN Patients |
| Takahiro Matsuyama1, Yoshiharu Ohno1,2, Kaori Yamamoto3, Masato Ikedo3, Masao Yui3, Saki Takeda4, Akiyoshi Iwase4, Yuka Oshima1, Nayu Hamabuchi1, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Takahiro Ueda1, Hirotaka Ikeda1, 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, 3Canon Medical Systems Corporation, Otawara, Japan, 4Radiology, Fujita Health University Hospital, Toyoake, Japan |
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We hypothesized that deep learning reconstruction (DLR) and multiple k-space data by means of each of the repetition time (TR) techniques (Fast 3D mode multiple: Fast 3Dm) are more useful than parallel imaging (PI) and compressed sensing (CS) for shortening acquisition time and improving image quality and IPMN evaluation capability on 3D MRCP. The purpose of this study was thus to compare the utility of DLR used for PI, Fast 3Dm and CS for improvement of acquisition time, image quality and IPMN evaluation capability on 3D MRCP for patients with IPMN. |
| 610 | 9:27
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Risk Factors for Perioperative Brain Lesions on MRI in Infants with Severe Congenital Heart Disease: A European Collaboration |
| Alexandra F Bonthrone1, Raymond Stegeman2,3,4,5,6, Maria Feldmann7, Nathalie HP Claessens2,3,4,6, Maaike Nijman2,3,4,6, Nicolaas JG Jansen3,8, Joppe Nijman3, Floris Groenendaal2,6, Linda S de Vries2, Manon JNL Benders2, Felix Haas5, Mireille N Bekker9, Thushiha Logeswaran10, Bettina Reich11, Raimund Kottke12, Cornelia Hagmann13, Bea Latal7, Hitendu Dave14, John Simpson15, Kuberan Pushparajah15,16, Conal Austin15, Christopher J Kelly1, Sophie Arulkumaran1, Mary A Rutherford1, Serena J Counsell1, Walter Knirsch17, and Johannes MPJ Breur4 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department of Neonatology, Wilhelmina Children’s Hospital, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 3Department of Pediatric Intensive Care, Wilhelmina Children’s Hospital, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 4Department of Pediatric Cardiology, Wilhelmina Children’s Hospital, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 5Congenital Cardiothoracic Surgery, Wilhelmina Children’s Hospital, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 6Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 7Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland, 8Department of Pediatrics, Beatrix Children’s Hospital, University Medical Center Groningen, Groningen, Netherlands, 9Department of Obstetrics, Wilhelmina Children’s Hospital, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 10Pediatric Heart Center, University Hospital Giessen, Justus-Liebig-University Giessen, Giessen, Germany, 11Department of Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, Technical University of Munich, Munich, Germany, 12Department of Diagnostic Imaging, University Children’s Hospital Zurich, Zurich, Switzerland, 13Department of Neonatology and Pediatric Intensive Care, University Children’s Hospital Zurich, Zurich, Switzerland, 14Division of Congenital Cardiovascular Surgery, Pediatric Heart Centre, University Children’s Hospital Zurich, Zurich, Switzerland, 15Paediatric Cardiology Department, Evelina London Children's Healthcare, London, United Kingdom, 16Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 17Pediatric Cardiology, Pediatric Heart Center, Department of Surgery, Children’s Research Center, University Children’s Hospital, and University of Zurich, Zurich, Switzerland |
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Infants with Congenital Heart Disease (CHD) are at risk of neurodevelopmental impairments. MRI studies have identified brain injury in infants with CHD both before and after cardiac surgery. We characterized risk factors for preoperative and new postoperative arterial ischaemic stroke (AIS), white matter injury (WMI) and cerebral sinovenous thrombosis (CSVT) in a cohort of infants with severe CHD. Balloon atrial septostomy was associated with increased risk of preoperative brain injury. Induced vaginal delivery was associated with preoperative WMI. Cardiac physiology and perioperative factors were associated with increased risk of new postoperative brain injury. |
| 611 | 9:39
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Early Postnatal Multi-modal MRI Structural Trajectory of Brain Dysmaturation Predicts Early Childhood Language Outcomes in Complex CHD |
| Vincent Kyu Lee1,2, Rafael Ceschin3,4, William Thomas Reynolds2,3, Benjamin Meyers4, Julia Wallace4, Douglas Landsittel5, Daryaneh Badaly6, J William Gaynor7, Daniel Licht8, Nathaniel H Greene9, Ken M Brady10, Jill V Hunter11, Zili D Chu12, Elisabeth A Wilde13, R Blaine Easley14, Dean Andropoulos14, and Ashok Panigrahy1,2,3,4 | ||
1Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States, 3Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States, 4Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 5Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States, 6Learning and Development Center, Child Mind Institute, New York, NY, United States, 7Division of Cardiothoracic Surgery, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 8Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 9Anesthesiology, Oregon Health and Sciences University, Portland, OR, United States, 10Anesthesiology, Lurie Children’s Hospital, Northwestern University, Chicago, IL, United States, 11Radiology, Texas Children's Hospital, Houston, TX, United States, 12Radiology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, United States, 13Neurology, University of Utah School of Medicine, Salt Lake City, UT, United States, 14Anesthesiology, Perioperative and Pain Medicine, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, United States |
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This study examined trajectories of early postnatal brain structure (macrostructural brain volumes and microstructural white matter tractography) relationship with early childhood neurodevelopmental deficits (NDD) in complex congenital heart disease patients. This analysis included development of predictive multi-variable models incorporating other known risk factors of poor NDD in CHD. A multi-modal dysmaturation phenotype of reduced subcortical volume and cerebral white matter volume/connectivity predicted poor early childhood language outcomes, despite high relative contribution of genetic and socio-demographic factors (maternal IQ). Favorable socio-demographic factors, despite the high incidence of focal WMI and presence of genetic abnormalities, predicted better neurodevelopmental outcomes. |
| 612 | 9:51
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Hyperperfusion on arterial spin labelling is associated with cognitive impairment in infants with neonatal hypoxic ischemic encephalopathy |
| Ruth O'Gorman Tuura1, Raimund Kottke2, Barbara Brotschi3, Carola Sabandal4, Cornelia Hagmann3, and Beatrice Latal5 | ||
1Center for MR Research, University Children's Hospital, Zurich, Switzerland, 2Radiology, University Children's Hospital, Zurich, Switzerland, 3Neonatology and Pediatric Intensive Care, University Children's Hospital, Zurich, Switzerland, 4Anaesthesia, University Children's Hospital, Zurich, Switzerland, 5Child Development Center, University Children's Hospital, Zurich, Switzerland |
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Neonatal hypoxic ischemic encephalopathy (HIE) is a serious neurological condition, representing a primary cause of neonatal death and developmental impairment. In newborns with HIE, hyperperfusion is related to severe adverse outcomes, but less is known about the link between perfusion and mild to moderate developmental impairments. Using a voxelwise correlation analysis, we investigated the link between ASL perfusion in newborns with HIE and developmental outcome at 2 years. A more adverse outcome was associated with hyperperfusion across the whole brain. A better cognitive outcome was associated with lower perfusion in the bilateral basal ganglia, thalamus, hippocampus and cerebellum. |
| 613 | 10:03
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Resting-state functional connectivity reductions in the cingulate gyrus in HIV exposed uninfected neonates |
| Jia Fan1,2, Fleur Warton1,2, Samantha Fry3, Mark Cotton3, Sandra Jacobson1,4, Joseph Jacobson1,4, Christopher Molteno5, Francesca Little6, Andre van der Kouwe1,7,8, Barbara Laughton3, and Ernesta Meintjes1,2,9 | ||
1Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa, 2Neuroscience Institute, University of Cape Town, Cape Town, South Africa, 3Family Centre for Research with Ubuntu, Department of Paediatrics and Child Health and Tygerberg Children’s Hospital, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa, 4Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States, 5Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa, 6Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa, 7A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 8Department of Radiology, Harvard Medical School, Boston, MA, United States, 9Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa |
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Aggressive combination antiretroviral treatment in pregnancy has significantly reduced new perinatal HIV infections giving rise to a growing population of HIV exposed uninfected (HEU) children. Children who are HEU demonstrate neurodevelopmental delay compared to their HIV-unexposed uninfected (HUU) peers. We examined resting-state functional connectivity (RSFC) in neonates exposed to HIV and ART in utero and perinatally using resting-state fMRI. Ten standard resting-state networks were identified from independent component analysis. Voxelwise group comparison between neonates who are HEU and HUU revealed localized RSFC reductions in the cingulate gyrus within 3 networks: medial somatosensory, and anterior and posterior default mode networks. |
| 614 | 10:15
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Impacts of prenatal COVID-19 pandemic-related distress on brain functional connectivity in 3-month infants |
| Aliza Jaffer1, Kathryn Y Manning2, Gerald F Giesbrecht 3, Lianne Tomfohr-Madsen3, and Catherine Lebel2 | ||
1University of Calgary, Calgary, AB, Canada, 2Department of Radiology, University of Calgary, Calgary, AB, Canada, 3Department of Pediatrics, University of Calgary, Calgary, AB, Canada |
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Prenatal psychological distress has been substantially higher during the COVID-19 pandemic, but its impacts on infant brain development remain unclear. We investigated the relationship between prenatal pandemic-related distress and functional connectivity within the default mode (DMN), auditory, and left frontoparietal brain networks in 3-month old infants. Resting-state functional MRI scans were analysed using FSL. Higher prenatal anxiety was associated with increased infant functional connectivity within the DMN. These connectivity changes may predispose these infants to later mental health challenges, and highlight the need to screen for prenatal anxiety and provide support for pregnant individuals and infants born during the pandemic. |
| 615 | 9:15
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Evaluation of precision of multi-compartment model on relaxation properties in breast cancer on 3T using numerical simulation |
| Roshni Senthilkumar1,2, Sai Man Cheung2, Kwok-Shing Chan3, and Jiabao He2 | ||
1Radiology Physics, University Hospital Coventry and Warwickshire, Coventry, United Kingdom, 2Institute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Fosterhill, Aberdeen, Scotland, 3Donders Institute for Brain, Cognition and Behaviour, AJ Nijmegen, Germany |
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MR relaxation properties of T1 and T2 are well known to alter in cancer, reflecting diseased tissue micro-environment. Multiple compartment models have been developed to better approximate tissue classes within an imaging voxel, allowing more accurate estimation of disease load for more precise treatment planning and monitoring. However, multiple compartment models is more sensitive to noise and suffers from potential overfitting, due to from significantly increased number of variables for fitting exponential functions and consequently more complex cost function. We therefore conducted numerical simulation to establish, the first in the literature, applicability condition of multiple compartment model in breast cancer. |
| 616 | 9:27
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A principled approach to select DCE-MRI derived radiomics features for evaluation in phase I/II trials |
| Michael Berks1, Damien J McHugh2, Nuria Porta3, Ross A Little1, Susan Cheung1, Gordon C Jayson4,5, Geoff J M Parker6,7, and James P B O'Connor1,8,9 | ||
1Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 2Medical Physics, The Christie Hospital NHS Trust, Manchester, United Kingdom, 3Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom, 4Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 5Department of Medical Oncology, The Christie Hospital NHS Trust, Manchester, United Kingdom, 6Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 7Bioxydyn Ltd, Manchester, United Kingdom, 8Department of Radiology, The Christie Hospital NHS Trust, Manchester, United Kingdom, 9Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom |
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DCE-MRI biomarkers such as change in median Ktrans have a proven role in drug development in phase I/II trials. There is current interest in using approaches such as radiomics to extract additional information relating to spatial heterogeneity from images and one emerging application is to apply these analyses to clinical trial data where imaging is used to monitor pharmacodynamic change in the tumour microenvironment. Here, we explore the properties of radiomics features extracted from maps of Ktrans and aim to identify features that are repeatable at baseline, show consistent treatment effect and provide additional, independent information to the median Ktrans. |
| 617 | 9:39
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Predictive Bladder Urodynamics Using Real-Time Magnetic Resonance Imaging: A Pilot Study |
| Labib Shahid1, Juan Pablo Gonzalez-Pereira1, Cody Johnson1, Yanheng Li2, David Rowinski2, and Alejandro Roldán-Alzate1 | ||
1University of Wisconsin-Madison, Madison, WI, United States, 2Convergent Science, Inc., Madison, WI, United States |
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Multi-channel urodynamics is an invasive diagnostic method used to assess bladder biomechanics. MRI-based CFD has shown high potential as a clinical tool primarily focused on cardiovascular flows. In this pilot study, we demonstrate MRI-based CFD as a tool to study urodynamics. Real-time MRI on one subject provided bladder wall surfaces at multiple time points during voiding. We developed a surface mapping algorithm that processes the bladder geometries before inputting them into a CFD simulation. Coupling MRI with CFD successfully visualized and quantified urine flow dynamics. This provides a non-invasive tool to investigate urodynamics in common urological conditions such as BPH/LUTS. |
| 618 | 9:51
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Changes in Abdominal Organs from the UK Biobank Longitudinal Imaging Study |
| Brandon Whitcher1, Marjola Thanaj1, Madeleine Cule2, Nicolas Basty1, Elena P. Sorokin2, Jimmy D. Bell1, and E. Louise Thomas1 | ||
1Research Centre for Optimal Health, University of Westminster, London, United Kingdom, 2Calico Life Sciences LLC, South San Francisco, CA, United States |
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We investigated changes in body composition in 3,088 free-living participants of the UK Biobank imaging study. Statistical models utilised organ and tissue segmentations from the neck-to-knee Dixon acquisitions and multiecho sequences of the liver/pancreas. A significant decrease in grip strength was observed, and small, but statistically significant, decreases in all skeletal muscle measurements. Significant increases in visceral adipose tissue and intermuscular fat in the thighs were also found in the absence of changes in BMI, waist circumference and ectopic-fat deposition. We have shown that even after a relatively short period of time significant changes in body composition are observable. |
| 619 | 10:03
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Comparison of Image Normalization Techniques for Rectal Cancer Segmentation in Multi-Center Data: Initial results |
| Steffen Albert1, Barbara D. Wichtmann2, Wenzhao Zhao3, Jürgen Hesser3, Ulrike I. Attenberger2, Lothar R. Schad1, and Frank G. Zöllner1 | ||
1Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, 3Data Analysis and Modeling in Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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We evaluated the influence of normalization (setting mean and standard deviation, histogram matching and percentiles) on the segmentation of rectal cancer on multimodal images when operating on multicenter data as part of a Radiomics pipeline. We used two different networks for segmentation. When training and evaluating on all data or data from a single center, normalization did not play a significant role. In contrast, when training on one center and evaluating on all others, it did play a major role. Best results are obtained by normalization using percentiles. Fixing the mean and standard deviation did not work well. |
| 620 | 10:15
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DCE-MRI with free-breathing compressed sensing VIBE for predicting chemotherapy response and patient outcome in pancreatic adenocarcinoma |
| Yoshihiko Fukukura1, Fumitaka Ejima1, Takuro Ayukawa1, Kiyohisa Kamimura1, Masanori Nakajo1, Hiroaki Nagano1, Koji Takumi1, Marcel Dominik Nickel2, Hiroshi Imai3, and Takashi Yoshiura1 | ||
1Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Healthcare K.K., Tokyo, Japan |
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This study focused on the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) with motion-resolved compressed sensing T1-weighted volumetric interpolated breath-hold examination (CS-VIBE) for prediction of treatment response to chemotherapy and patient outcome in pancreatic ductal adenocarcinoma (PDAC). Our results showed tumor ve was significantly higher in the response group than in the non-response group and was an independent predictor of progression-free survival in patients with PDAC treated with chemotherapy. These results suggest that DCE-MRI obtained with CS-VIBE may be useful for predicting treatment response to chemotherapy and patient outcome in PDAC. |
| 621 | 9:15
|
Bias-free T1 Mapping via Simultaneously Estimating Bloch-Siegert and Magnetization Transfer Effects |
| Albert Jang1, Paul K Han1, Chao Ma1, Georges El Fakhri1, and Fang Liu1 | ||
1Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States |
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T1 maps obtained using fast steady-state sequences are usually sensitive to B1+ inhomogeneity and MT effects. We propose a novel method to achieve simultaneously B1+- and MT-corrected T1 quantification by introducing off-resonance RF pulses that create two effects: 1) direct saturation of macromolecules and 2) B1+ dependent Bloch-Siegert phase shift. This method, termed BTS (Bloch-Siegert and magnetization transfer simultaneously), is presented and validated in both simulations and experiments, correcting for T1 bias induced from B1+ inhomogeneity and MT effects. |
| 622 | 9:27
|
Robust STARE (Steady-state T2 And Rf Estimation) for high-resolution quantitative T2 mapping at 7T MRI |
| Rita Schmidt1,2 | ||
1Brain Sciences, Weizmann Institute of Science, Rehovot, Israel, 2The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel |
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T2 mapping can provide a valuable tool for monitoring and characterization of the tissue changes in the brain. Its implementation in 7T MRI will improve SNR and resolution, but also needs to overcome an increase in SAR and B1 inhomogeneity. We developed a Steady-state T2 And Rf Estimation (STARE) method capable to deliver T2 and RF-field maps in 7T brain imaging. This work summarizes progress towards robust high-resolution whole brain T2 mapping. The method was examined in phantoms and human imaging. Whole brain T2 maps with 1mm resolution were acquired within 3:27 minutes, sufficiently fast to be used in clinics. |
| 623 | 9:39
|
Rapid quantitative magnetization transfer imaging: utilizing the hybrid state and the generalized Bloch model |
| Jakob Assländer1,2, Cem Gultekin3, Xiaoxia Zhang1,2, Quentin Duchemin4, Kangning Liu5, Robert WE Charlson6, Timothy Shepherd1, Carlos Fernandez-Granda3,5, and Sebastian Flassbeck1,2 | ||
1Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States, 3Courant Institute of Mathematical Sciences, New York University, New York, NY, United States, 4Laboratoire d’analyse et de mathématiques appliquées, Université Gustave Eiffel, Paris, France, 5Center for Data Science, New York University, New York, NY, United States, 6Multiple Sclerosis Comprehensive Care Center, Department of Neurology, New York University School of Medicine, New York, NY, United States |
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We combine two recently proposed biophysical models, the hybrid state and the generalized-Bloch model, to describe magnetization transfer. Combined into a single model, they facilitate quantitative magnetization transfer imaging of the whole brain with 1mm isotropic resolution in 12 minutes. We optimized an MR-Fingerprinting-like pulse sequence, and validated the approach in two multiple sclerosis patients and two controls. |
| 624
|
9:51
|
Efficient Time-dependent Diffusion MRI Using Multiple Stimulated Echoes |
| Guangyu Dan1,2, Kaibao Sun1, Qingfei Luo1, and Xiaohong Joe Zhou1,2,3 | ||
1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Studies on temporal diffusion characteristics can reveal a wealth of tissue microstructural information for disease evaluation, but typically require a long scan time because multiple diffusion times are need with each requiring a separate acquisition acquire. We herein report a time-efficient pulse sequence that acquires multiple diffusion-weighted images with different diffusion times in a single shot by utilizing multiple stimulated echoes with variable flip angles. This technique has been implemented on a 3T human scanner and successfully demonstrated in a quantitative diffusion phantom, the human brain gray and white matters, and the prostate peripheral zone and central grand. |
| 625
|
10:03
|
Increasing the T2 sensitivity of MR-STAT sequences by small quadratic RF phase increments |
| Hongyan Liu1, Tom Bruijnen1, Maaike van Haandel1, Oscar van den Heide1, Miha Fuderer1, Cornelis A.T. van den Berg1, and Alessandro A.T. Sbrizzi1 | ||
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands |
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We propose a new method to increase the T2 encoding ability of MR-STAT sequences, according to a recently developed strategy for T2 mapping. Recent work has shown that RF phase modulated GRE sequences with small quadratic phase increments can effectively encode T2 information into the phase of the signal. In this abstract, we show that by incorporating a simple and similar RF modulation strategy in 2D MR-STAT sequences, T2 sensitivity of transient-state gradient-spoiled sequences is improved, and therefore T2 maps as well as the proton density maps (PD) can be reconstructed with higher accuracy. |
| 626 | 10:15
|
Parallel Transmit T2 Preparation for 3D T2 Mapping at Ultra-High Field |
| Gabriele Bonanno1,2,3, Patrick Liebig4, Kurt Majewsky5, Tobias Kober6,7,8, and Tom Hilbert6,7,8 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Bern, Switzerland, 2Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 3Translational Imaging Center, sitem-insel, Bern, Switzerland, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Siemens AG, Munich, Germany, 6Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 7Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 8LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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T2 relaxometry at ultra-high field has the potential to become an important quantitative MRI biomarker thanks to its sensitivity to pathology. However, acquiring high-resolution isotropic T2 maps is challenging due to signal-to-noise and specific absorption rate constraints. We present a T2-mapping method for ultra-high-field MRI based on a parallel transmit T2-preparation (T2p) module integrated in a compressed sensing accelerated segmented 3D FLASH sequence. The proposed parallel transmit T2p module is investigated in phantom and in vivo experiments and compared to an adiabatic T2p module. Preliminary tests show feasibility for sub-millimeter T2 relaxometry at 7 T. |
| 627 | 10:27
|
Addressing Concomitant Gradient Phase Errors in Chemical Shift-Encoded MRI with a Pass-Specific Phase Fitting Method |
| Nathan Tibbitts Roberts, BS1,2, Diego Hernando, PhD1,2,3,4, Nikolaos Panagiotopoulos, MD1, and Scott B Reeder, MD, PhD1,3,4,5,6 | ||
1Radiology, University of Wisconsin - Madison, Madison, WI, United States, 2Electrical and Computer Engineering, 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, 5Medicine, University of Wisconsin - Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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This work presents a complex-based fitting method to address concomitant gradient (CG) phase errors for time-interleaved (i.e., multi-pass) chemical shift-encoded (CSE) MRI estimation of proton density fat fraction (PDFF) and R2* through a joint estimation of pass-specific phase terms. The proposed method does not require prior knowledge of gradient waveforms. The proposed fitting method removed significant PDFF and R2* estimation errors in both phantom and in vivo evaluations away from isocenter. An evaluation in 29 clinical liver datasets demonstrated reduced PDFF bias and variability (8.4% improvement in the coefficient of variation), even when the imaging volume was centered at isocenter. |
| 628
|
9:15
|
Real-time observation of postprandial hepatic glucose metabolism with interleaved 2H Metabolic Imaging and 13C-MRS at 7 T |
| Simone Poli1,2, Ahmed Fahiem Emara3, Edona Ballabani3, Angeline Buser3, Michele Schiavon4, David Herzig3, Chiara Dalla Man4, Luc Tappy3, Roland Kreis1,2, and Lia Bally3 | ||
1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland, 3Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism UDEM, Insel Hospital, University Hospital Bern, Bern, Switzerland, 4Department of Information Engineering (DEI), University of Padova, Padova, Italy |
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The liver takes a central role in the regulation of glucose homeostasis by storing glucose in the fed state and releasing it during food abstinence. As a consequence, the liver is critically involved in glucose homeostasis disorders. We propose a novel non-invasive approach combining Deuterium Metabolic Imaging (DMI) with 13C-MRS at 7 T to dynamically map hepatic glucose metabolism. Preliminary results support technical feasibility and provide first insights into distinct hepatic glucose profiles in patients with dysregulated glucose homeostasis. The proposed approach may open new avenues for a better understanding of pathophysiology of glucose dysregulation and development of targeted treatments. |
| 629 | 9:27
|
Deuterated choline tracks choline kinase α activity and enables non-invasive assessment of response to therapy in gliomas in vivo. |
| Celine Taglang1, Georgios Batsios1, Meryssa Tran1, Anne-Marie Gillespie1, Sabrina Ronen1, and Pavithra Viswanath1 | ||
1Radiology, University of California San Francisco, San Francisco, CA, United States |
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Elevated choline phospholipid metabolism is a hallmark of cancer. Here, we show that silencing choline kinase a (CKα), the rate-limiting enzyme in choline phospholipid biosynthesis, abrogates total choline (tCho) production from [2H9]-choline in patient-derived glioma models, indicating that tCho production from [2H9]-choline predominantly reflects CKα activity. Importantly, we show that [2H9]-choline metabolism to tCho serves to delineate tumor from normal brain in mice bearing orthotopic patient-derived low-grade gliomas. Furthermore, [2H9]-choline informs on response to therapy, at early timepoints when anatomical alterations cannot be detected, pointing to the ability of [2H9]-choline to assess pseudoprogression, which is a challenge in glioma imaging. |
| 630 | 9:39
|
Deuterium labeling enables non-invasive 3D proton MR imaging of glucose and neurotransmitter metabolism in the human brain |
| Petr Bednarik1, Dario Goranovic1, Alena Svatkova2, Fabian Niess1, Lukas Hingerl1, Bernhard Strasser1, Dinesh Deelchand3, Benjamin Spurny-Dworak4, Siegfried Trattnig1, Gilbert Hangel1,5, Thomas Scherer2, Rupert Lanzenberger4, and Wolfgang Bogner1 | ||
1High Field MR Center, Medical University of Vienna, Vienna, Austria, 2Department of Medicine III, Medical University of Vienna, Vienna, Austria, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 4Department of Psychiatry ans Psychotherapy, Medical University of Vienna, Vienna, Austria, 5Department of Neurosurgery, Medical University of Vienna, Vienna, Austria |
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Recent studies have proposed deuterium (2H)-Magnetic Resonance Spectroscopic Imaging (MRSI) as a reliable, non-invasive, and safe method to quantify the human metabolism of 2H-labeled substrates such as glucose and their downstream metabolism and address the major drawbacks of positron emission tomography or carbon (13C)-MRS. Here, we pioneered a dynamic proton 3D (1H)-MRSI for indirect 2H-measurements in humans. In contrast to 2H-MRS(I), the method provides higher sensitivity and chemical specificity to differentiate glutamate, glutamine, and gamma-aminobutyric acid deuterated at specific molecular positions while simultaneously mapping both labeled and unlabeled metabolites without specialized hardware after peroral ingestion of 2H-labeled glucose. |
| 631
|
9:51
|
39K/23Na MRI detects changes in muscular ion concentrations after exercise and in delayed-onset muscle soreness |
| Lena V. Gast1, Laura-Marie Baier1, Oliver Chaudry2, Christian R. Meixner1, Max Müller1, Klaus Engelke2,3, Michael Uder1, Armin M. Nagel1,4, and Rafael Heiß1 | ||
1Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Department of Medicine 3, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Institute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
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In this work, we investigated changes in the tissue potassium and sodium concentrations (TPC/TSC) of calf muscle tissue after exercise and in delayed-onset muscle soreness (DOMS) using combined 39K/23Na MRI. 14 healthy subjects were examined at baseline, directly after performing eccentric exercises and again 48h after exercise. Sodium and potassium concentrations showed inverse evolution, with changes in TSC being approximately twice as high as in TPC. Moreover, TPC was elevated in sore muscles without obvious edema, while TSC had returned to baseline or below. Thus, combined 39K/23Na MRI might help to elucidate physiological processes associated with DOMS and muscle fatigue. |
| 632
|
10:03
|
3D Deuterium Metabolic Imaging of the Human Liver at 7T using Low-rank and Subspace Modeling |
| Kyung Min Nam1, Ayhan Gursan1, Nam G. Lee2, Jannie Wijnen1, Dennis Klomp1, Jeanine Prompers1, Alex Bhogal1, and Arjan Hendriks1 | ||
1Radiology, University of Medical Center Utrecht, Utrecht, Netherlands, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States |
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Deuterium metabolic imaging (DMI) is an emerging technique to spatially map metabolism in vivo through the intake of deuterium (i.e., 2H or D) labeled substrates such as [6,6′-2H2]-glucose. Although DMI has the potential to become a powerful tool to assess liver metabolism, it has limitations due to its long scan time, and low signal-to-noise ratio (SNR) for high spatial resolution in the human body. In this work, we demonstrated the feasibility of low-rank and subspace modeling (LRSM) reconstruction to increase SNR by reducing spectral noise, allowing high spatiotemporal resolution for 3D DMI of the human liver at 7T. |
| 633 | 10:15
|
Heterogeneity of multiple sclerosis lesions evidenced by 7T multiparametric sodium MRI |
| Mohamed Mounir EL MENDILI1,2, Bertrand AUDOIN1,2,3, Ben RIDLEY 1,2, Armin NAGEL4, Soraya GHERIB1,2, Lauriane PINI1,2, Patrick VIOUT1,2, Maxime GUYE1,2, Audrey RICO3, Clemence BOUTIERE3, Jean-Philippe RANJEVA 1,2, Jean PELLETIER1,2,3, Adil MAAROUF1,2,3, and Wafaa ZAARAOUI1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital de la Timone, CEMEREM, Marseille, France, 3APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France, 4University Hospital Erlangen, Institute of Radiology, Erlangen, Germany |
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Inflammatory demyelinated lesions are a hallmark of multiple sclerosis (MS) and are the pathological substratum of clinical relapses. After their occurrence, neuropathological changes within lesions and lesion repair are variable and unpredictable. Chiefly, recovery from the first relapses is a key element of the long-term prognosis. Thus, in vivo exploration of lesion repair is of paramount importance. The multi-TE sodium 7T MRI approach revealed that maintained sodium homeostasis within lesion is associated with a better recovery from relapses in MS. Sodium MRI appears to be a promising tool to assess in vivo preservation of neuronal function in MS. |
| 634 | 10:27
|
Comparison of clinical deuterium metabolic imaging (DMI) and hyperpolarized carbon-13 imaging at 3 T in the normal brain |
| Alixander S Khan1,2, Joshua D Kaggie1,2, Mary A McLean1,2, Rolf F Schulte3, Matthew J Locke1, Amy Frary1, and Ferdia A Gallagher1,2 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom, 3GE Healthcare, Munich, Germany |
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Deuterium metabolic imaging (DMI) and hyperpolarized 13C-pyruvate MRI (HP-13C-MRI) are two promising approaches for non-invasive and non-ionizing imaging of tissue metabolism. Here we directly compare these two techniques at 3 T for the first time in humans. DMI using [6,6’-2H2]glucose, and 13C-MRI using hyperpolarized [1-13C]pyruvate, were undertaken in five healthy volunteers. The ratio of 13C-lactate/13C-bicarbonate (mean ±S.D. = 5.05 ±0.89) with HP-13C-MRI was higher than the equivalent 2H-lactate/2H-Glx ratio (0.43 ±0.19) with DMI, which can be explained by differences in tracer administration, subsequent timing of acquisition, and tissue physiology. The results demonstrate the two methods provide different yet complementary data. |
| 635 | 10:39
|
Deuterium Metabolic Imaging of the Human Brain in vivo at 7T |
| Eulalia Seres Roig1, Henk M. De Feyter1, Terence Nixon1, Loreen Ruhm2,3,4, Nikolai Avdievich2, Anke Henning2,4, and Robin A. de Graaf1 | ||
1Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 3IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University of Tuebingen, Tuebingen, Germany, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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Brain energy metabolism, for which glucose is the main fuel, is essential not only for normal brain function but also for its active role in the mechanisms that underly brain diseases. Deuterium Metabolic Imaging (DMI) is a promising MR modality for investigating whole brain energy metabolism in humans at ultra-high field. In this study, we explore the potential of DMI in the human brain in vivo at 7T. We present whole brain 3D DMI maps of well-resolved deuterated (2H) metabolite resonances of water, glucose and glutamate/glutamine (Glx) following oral administration of [6,6’-2H2]-labelled glucose. |
| 636 | Pitch: 9:17 Poster: 9:19 Plasma 16
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The MotoNet: An MRI-Compatible EEG Net with Embedded Motion Sensors |
| Andre van der Kouwe1, Hongbae Jeong1, Zinong Yang2, Donald Straney1, Robert Frost1, Laura Lewis2, and Giorgio Bonmassar1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Biomedical Engineering, Boston University, Boston, MA, United States |
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We introduce a new EEG net, which will allow clinicians to monitor EEG while tracking head motion for correction. Motion during MRI limits patient scans, especially of children and patients with seizures. The MotoNet was built using PTF, embedding EEG/motion sensor pairs on opposite sides in one circuit. MRI safety studies at 3T confirmed maximum heating below 1ºC. EEG/motion measurements were made with a standard commercial EEG system. Using a custom MRI sequence with spatial localization gradients only, we showed that the signal on each channel was highly correlated with motion, allowing for electrode positioning and motion tracking. |
| 637 | Pitch: 9:19 Poster: 9:21 Plasma 17
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A dedicated MRI/PET system for radiotherapy treatment simulation: pathophysiological guidance for small moving target volumes |
| Casper Beijst1, Woutjan Branderhorst1, Jan Lagendijk1, Bjoern Weissler2,3, David Schug2,3, Florian Mueller2, Harald Radermacher2, Martino Borgo4, Wout Schuth4, Jurgen Mollink5, Govaert Borst5, Marc Verheyen5, Frank van Duin4, Dennis Klomp1, Hugo de Jong1, and Volkmar Schulz2,3 | ||
1UMC Utrecht, Utrecht, Netherlands, 2Rheinisch-Westfaelische Technische Hochschule, Aachen, Germany, 3Hyperion Hybrid Imaging Systems, Aachen, Germany, 4Futura Composites, Heerhugowaard, Netherlands, 5Philips Medical Systems, Best, Netherlands |
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The Unity 1.5T MR-linac has clinically been introduced to provide stereotactic precision for moving targets. We are now developing an integrated 1.5T MRI/PET system with identical MRI performance for planning of MR-linac treatments. The system offers 70 cm bore size and includes PET detectors mounted in the gap of a split gradient coil. Recently, the first ring of PET detectors was installed. We performed extensive interference tests and acquired the first simultaneous images using a brain phantom. Our vision is that the combination of MR-linac with MRI/PET will allow the use of PET information for stereotactic radiation therapy guidance. |
| 638 | Pitch: 9:21 Poster: 9:23 Plasma 18
|
Deep learning-based relative B1+-mapping in the human body at 7T |
| Felix Krüger1, Christoph Stefan Aigner1, Sebastian Dietrich1, Kerstin Hammernik2,3, and Sebastian Schmitter1,4,5 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, 2Technical University of Munich, Munich, Germany, 3Imperial College London, London, United Kingdom, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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In this work, we estimate relative 2D B1+-maps from initial localizer scans using deep learning at 7T. We investigate 7 UNets and MultiResUNets architectures to estimate complex, channel-wise, relative 2D B1+-maps of 8 transmit channels from a single gradient echo localizer obtained with 32 receive channels. The networks are evaluated in 5 unseen volunteers not included in the training library by comparing the prediction with the acquired relative B1+-maps using different evaluation metrics for homogeneous B1+ phase shimming. Our approach saves additional B1+-mapping scans, and, hence, overcomes long calibration times in the human body at 7T. |
| 639 | Pitch: 9:23 Poster: 9:25 Plasma 19
|
Gradient Waveform Prediction Using Deep Neural Network |
| Qi Liu1, Hoang (Mark) Nguyen1,2, Xucheng Zhu3, Xiaohui Zhai3, Bo Li3, Jian Xu1, and Weiguo Zhang1 | ||
1UIH America, Inc., Houston, TX, United States, 2Department of Computer Science and Electrical Engineering, University of Missouri at Kansas City, Kansas City, MO, United States, 3United Imaging Healthcare, Shanghai, China |
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A versatile, practical, and effective gradient trajectory correction technique that considers gradient system nonlinearity is proposed using deep learning. Its performance was validated on phantoms and human subjects and demonstrated superior quality than the conventional techniques. |
| 640 | Pitch: 9:25 Poster: 9:27 Plasma 20
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Adaptive Feedforward Control of Gradient Currents Using Gradient Heating Prediction |
| Reza Babaloo1, Ege Aydin1, and Ergin Atalar1,2 | ||
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey |
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The MRI gradient system heating changes its characteristics, and without a feedback system, the gradient waveform distorts resulting image artifacts. The primary effect of temperature rise in the gradient coil winding is the increase in the coil resistance. Feedforward based controllers, preferable in gradient array systems and multi-coil designs, use a linear time-invariant model. However, the gradient heating makes the system time-variant. To address this issue, we propose predicting gradient coil thermal variation using the thermal differential equation and updating feedforward controller parameters continuously. |
| 641 | Pitch: 9:27 Poster: 9:29 Plasma 21
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MR System Stability and Quality Control using Gradient Impulse Response Functions (GIRF) |
| Zhe Wu1, Alexander Jaffray2, Johanna Vannesjo3, Kamil Uludag4,5, and Lars Kasper1 | ||
1Techna Institute, University Health Network, Toronto, ON, Canada, 2UBC MRI Research Center, University of British Columbia, Vancouver, BC, Canada, 3Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, 4Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada, 5Biomedical Engineering, Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Suwon, Korea, Republic of |
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This study investigated the long-term stability of GIRF within an eight-month period, together with the benefits of an optimized GIRF acquisition protocol. These studies provide insight into mechanisms of image quality degrading and potentially lead to improved image quality control, generalizable to arbitrary imaging sequences. |
| 642 | Pitch: 9:29 Poster: 9:31 Plasma 22
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Beat Phenomena in MRI - Theoretical and Experimental Description of the Impact of Mechanical Resonances on Fast Readouts |
| Hannes Dillinger1 and Sebastian Kozerke1 | ||
1ETH and University Zurich, Zurich, Switzerland |
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This work highlights the mechanically resonant behaviour of MRI gradient systems when excited with an oscillating gradient, e.g. echo planar readout. Results demonstrate that a beat phenomenon can be observed in the signal phase with a frequency dependent on readout bandwidth and mechanical resonances of the system. Insights of the beat source are derived theoretically and validated experimentally. Data confirms that the beat phenomenon results in increased blurring in phase encoding direction leading to suggestions for system optimization in order to reduce the impact of the beat phenomenon. |
| 643 | Pitch: 9:31 Poster: 9:33 Plasma 23
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A lightweight silent gradient axis design with integrated 32 channel receive array for fast and quiet brain imaging at 3 Tesla |
| Edwin Versteeg1, Mark van Uden2, Luke van der Hofstad2, Kevin Bax2, Martino Borgo2,3, Wout Schuth3, Jeroen Siero1,4, Mark Gosselink1, and Dennis Klomp1 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Tesla Dynamic Coils, Zaltbommel, Netherlands, 3Futura Composites, Heerhugowaard, Netherlands, 4Spinoza Centre for Neuroimaging, Amsterdam, Netherlands |
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The sound level in MRI can be lowered by using a silent gradient axis that adds extra soundless encoding. In this work, we present the field characteristics and first images for a silent gradient designed for a clinical 3 Tesla system. This silent gradient featured a built-in 32-channel receive coil and weighs 21 kg. The gradient field could be oscillated at 23.5 kHz and featured a linear region of 20 cm. The coil had limited interactions with the transmit B1 field and did not affect B1 homogeneity, which was showcased in phantom and in-vivo images. |
| 644 | Pitch: 9:33 Poster: 9:35 Plasma 24
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Construction and Validation of Multi-Coil Technology for Accessible Head-Only Scanner |
| Sebastian Theilenberg1, Yun Shang1, Chathura Kumaragamage2, Scott McIntyre2, Terence W. Nixon2, Robin A. de Graaf2, and Christoph Juchem1,3 | ||
1Department of Biomedical Engineering, Columbia University, New York, NY, United States, 2Department of Radiology and Biomedical Engineering, Magnetic Resonance Research Center, Yale University School of Medicine, New Haven, CT, United States, 3Department of Radiology, Columbia University Medical Center, New York, NY, United States |
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As part of a multi-center effort to design and build an accessible 1.5 T head-only MRI scanner (NIH U01EB025153, PI M. Garwood), we designed and constructed a prototype multi-coil array fitting the limited available space and capable of generating linear and non-linear image encoding fields as well as strong concomitant localized B0 shim fields. Here, we describe the construction process, and present system characteristics as well as experimental validation of its field generation capabilities utilizing a conventional 4 T MRI scanner. |
| 645 | Pitch: 9:35 Poster: 9:37 Plasma 25
|
The TMSMR 28 channel RF coil: whole head imaging for the 3-axis TMS multichannel system |
| Lucia Navarro de Lara1,2, Jason Stockmann1,2, Boris Keil3, Azma Mareyam1, Mohammad Daneshzand1,2, Larry Wald1,2, and Aapo Nummenmaa1,2 | ||
1Martinos Center - MGH, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Institute of Medical Physics and Radiation Protection, Technische Hochschule Mittelhessen, Giessen, Germany |
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Multichannel Transcranial Magnetic Stimulation is an emerging technology for non-invasive stimulation of the human brain. Combining this technique with fMRI offers the unique benefits of studying the causal relationships between the cortical and subcortical nodes of large-scale brain networks. For this reason a whole head 28-channel RF coil array was developed to be integrated with the first 3-axis-TMS multichannel system. We have analyzed how the SNR of the constructed array changes when placing the stimulation units. Additionally, we compared the SNR/g-factor maps with commercial available 32/20-channel RF coils. The results show that the RF coil is performing as expected. |
| 646 | Pitch: 9:37 Poster: 9:39 Plasma 26
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Continuous Arterial Spin Labeling with On-Coil Amplification at 7T |
| Gaël Saïb1, Sherry Huang2, Emily Long1, S. Lalith Talagala3, Hellmut Merkle1, Alan P. Koretsky1, and Natalia Gudino1 | ||
1NINDS/LFMI, National Institutes of Health, Bethesda, MD, United States, 2Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3NINDS/NMRF, National Institutes of Health, Bethesda, MD, United States |
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Continuous arterial spin labeling using a separate neck labeling coil is an attractive approach for imaging perfusion at 7T. This approach is hindered by specialize hardware including a labeling coil and a separate amplifier located outside the magnet room. On-coil amplifiers have demonstrated higher RF power efficiency with minimal cable loss and patient-coil interaction. This work shows that a separate labeling coil using on-coil amplification can be used for flow driven adiabatic inversion in a flow phantom suggesting that it may provide a suitable approach to simplify the hardware package required as well as to improve CASL studies at 7T. |
| 647 | Pitch: 9:39 Poster: 9:41 Plasma 27
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Susceptibility-weighted imaging and quantitative susceptibility mapping of the human brain at 10.5 Tesla: an initial experience |
| Xiaoping Wu1, Andrea Grant1, Xiaodong Ma1, Edward Auerbach1, Jerahmie Ladder1, Alireza Sadeghi-Tarakameh1, Yigitcan Eryaman1, Russell Lagore1, Nader Tavaf2, Pierre‐Francois Van de Moortele1, Gregor Adriany1, and Kamil Ugurbil1 | ||
1CMRR, Radiology, University of Minnesota, Minneapolis, MN, United States, 23M, Minneapolis, MN, United States |
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Susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM) have been shown to provide unique contrasts that can be used to study pathophysiologic changes of tissue magnetic susceptibility in various brain diseases. As magnetic susceptibility effects increase with the main field strength, there has been a rapidly growing interest in performing SWI and QSM at ultrahigh field (UHF) (7 Tesla and above). The aim of this study was to demonstrate how the use of the UHF of 10.5 Tesla may promote SWI and QSM of the human brain. |
| 11:30 | Young Investigators Award Presentation |
| 12:15 | Resting-State Brain Connectivity I |
| Bharat B. Biswal 1 | |
1New Jersey Institute of Technology, Newark, NJ, United States |
| 12:25 | Resting-State Brain Connectivity II: Applications and Future Directions |
| Juan Helen Zhou1 | |
1Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore |
| 12:35 | bSSFP I |
| Karla L. Miller1 | |
1University of Oxford, Oxford, United Kingdom |
| 12:45 | bSSFP II |
| Ruth P. Lim1 | |
1Austin Health, Heidelberg, Australia |
| 12:55 | Deuterium I: Back to the Past |
| Joseph J.H. Ackerman1 | |
1Washington University in St. Louis, St. Louis, MO, United States |
| 13:05 | Deuterium Metabolic Imaging: Back to the Future |
| Robin A. de Graaf1 | |
1Yale University School of Medicine, New Haven, CT, United States |
14:45
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Basic Concepts & Emerging Developments in Immunotherapy | |
| Yvonne Saenger1 | ||
1Albert Einstein College of Medicine, New York, NY, United States |
15:15
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Challenges of Assessing Response to Immunotherapy in Body Cancers | |
| Priya Bhosale1 | ||
1University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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This presentation will discuss the imaging findings of tumors post treatment and the different response criteria that are used in assessing tumor response. |
15:45
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Immunotherapy for Treatment of Multiple Sclerosis & the Role of Myelin-Sensitive MRI | |
| Cornelia Laule1 | ||
1University of British Columbia, Canada |
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Conventional MRI plays a major role in evaluating new multiple sclerosis (MS) immunotherapies. However, proton density, T1-weighted, T2-weighted and volumetric imaging have low pathological specificity and poor sensitivity for non-lesional disease, driving the development of new techniques to measure myelin, which is the primary target of damage in MS. Each technique has different strengths and weaknesses with respect to myelin-specificity and myelin-sensitivity. The choice of method ultimately depends on the research or clinical question being asked. |
16:15
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Post-Infectious Inflammatory Syndromes in the Pediatric Patient | |
| Shema Hameed1 | ||
1Evelina London Children's Hospital, Guy's and St Thomas' Foundation Trust, London, United Kingdom |
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This presentation will include a brief overview of the variety of recognised post-infectious inflammatory disorders in children, and will focus on the novel post COVID-19 entity termed Paediatric inflammatory multisystem syndrome - temporally associated with SARS-CoV-2 (PIMS-TS) in the UK/EU and Multisystem inflammatory syndrome in children (MIS-C) in North America. The multi-system, multi-modality spectrum of imaging findings will be reviewed, along with a discussion of long-term outcomes from what we know so far. |
14:45
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Deuterium Metabolic Imaging & Thermal 13C MRS | |
| Puneet Bagga1 | ||
1Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States |
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Imaging metabolic pathways by using non-invasive techniques has always been a challenge overcoming which may lead to opportunities for better diagnosis, planning a personalized treatment regimen, and evaluation of treatment response. Clinical translation of the multinuclear approaches combined with the administration of stable isotopes, such as 13C/2D labeled glucose, is yet to be widely utilized in clinical and preclinical studies. In this talk, I will discuss the development of 13C and 2D MRS techniques through the years and their potential future applications. |
15:15
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Detecting Lung Function & Structure Using Hyperpolarized 129Xe | |
| Jim Wild1 | ||
1University of Sheffield, United Kingdom |
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Hyperpolarised 129Xe MRI offers a wealth of complementary information about the function and microstructure of the lungs, and in the dissolved phase, has potential for imaging perfusion and gas exchange in organs such as brain and kidneys. This talk will cover:Overview of polariser technology, RF , scanner platform and integration.Pulse sequence considerations for gas and dissolved phase xenon including the physical constraints posed by the hyperpolarised signal, T1/T2 , diffusion.Modelling of gas exchange and diffusion signal dynamics.Brief overview of clinical applications of 129Xe in lungs and other organs. |
15:45
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Detecting Energy Metabolism via 31P MRS | |
| Martin Meyerspeer1 | ||
1High-Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria |
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Phosphorus-31 MRS can deliver quantitative metabolic information directly as peak intensities (reflecting metabolite concentration) or indirectly, via metabolic models. 31P sensitivity is high enough to acquire time series of thermal spectra, even localised, that reveal fluxes and rate constants of high-energy metabolites. Large 31P signal changes upon exercise make skeletal muscle a particularly interesting target for metabolic studies using dynamic 31P MRS. Other organs, like heart, liver or brain, can be investigated with magnetisation transfer or static 31P methods. 31P MRS information content can be further enriched by interleaved or simultaneous acquisition of 1H MRS or MRI data. |
16:15
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Sodium MRI | |
| Guillaume Madelin1 | ||
1New York University, United States |
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A review of sodium MRI: techniques, challenges and applications. |
| 648 | Pitch: 14:45 Poster: 14:47 Plasma 1
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Is diffusion tensor principal diffusivity aligned with axon fiber in the human brain white matter? |
| YUXI PANG1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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An angle offset has been identified in proton magnetic resonance transverse relaxation orientation dependencies in the human brain WM in vivo when DTI primary diffusivity direction was used as an internal reference. This angle offset has not yet been accounted for in previous studies. The present work demonstrates that the observed angle offset can be removed using an angle derived from the perpendicular and parallel diffusivities of an axially symmetric diffusion tensor regardless of axon fiber orientations. The finding from this study clearly suggests that the diffusion tensor principal diffusivity direction deviates from an axon fiber orientation in WM. |
| 649 | Pitch: 14:47 Poster: 14:49 Plasma 2
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In-Vivo Probabilistic Tractography of the Extracranial Branches of the Trigeminal Nerve |
| Kellen Mulford1, Sean Moen2, Andrew W. Grande2, David Darrow2, Donald R. Nixdorf3, Pierre-Francois Van de Moortele1, and Can Özütemiz4 | ||
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, 3Division of TMD & Orofacial Pain, University of Minnesota, Minneapolis, MN, United States, 4Department of Radiology, University of Minnesota, Minneapolis, MN, United States |
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Diffusion tensor imaging-based tractography of the peripheral nerves of the face is difficult owing to the complex tissue interfaces which degrade signal and introduce artifact. In this study, we used readout segmented EPI to attempt nerve fiber tracking of the inferior-alveolar, lingual, and infra-orbital branches of the trigeminal nerve. In 6 healthy participants we were able to visualize all three nerves on both sides of the face. This technique could be applies to nerve-injury and neuropathic pain populations to assess for alterations in nerve structure. |
| 650 | Pitch: 14:49 Poster: 14:51 Plasma 3
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Fasciculus Axonal Connective Tissue (FACT) Mapping of Porcine Optic Nerve for Accurate Connectome Mapping at Viable Cost |
| Sudhir Kumar Pathak1, Yijen L Wu2,3, Vijay Saradhi Gorantla4, Fatih Zor4, Yalcin Kulahci4, Alan Watson5, Yongxin Zhao6, and Walter Schneider1,7 | ||
1Psychology, University of Pittsburgh, Pittsburgh, PA, United States, 2Rangos Research Center Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 3Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States, 4Regenerative Medicine, Wake Forest Institute for Regenerative Medicine, Winston-Salem, NC, United States, 5Department of Cell Biology, University of Pittsburgh, Pittsburgh, PA, United States, 6Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States, 7Neurosurgery, University of Pittsburgh, 15260, PA, United States |
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Accurate brain connectome mapping requires tracking fasciculus bundles of axons within tracts. In a porcine optic nerve harvested tissue, we optimized/tested MRI structural and diffusion imaging to demonstrate following fasciculi within the optic tract. On a 7T Bruker magnet, we can clearly identify fasciculus boarders and diffusion paths providing 29 micron precision MRI with clear tissue differentiation. We found that axons travel with no evidence of crossing fasciculi walls. This suggests Fasciculus Axonal Connective Tissue (FACT) imaging can provide full mapping of connectivity between cortical sources supporting comprehensive accurate mapping of connectivity in large mammal tract systems at viable cost. |
| 651 | Pitch: 14:51 Poster: 14:53 Plasma 4
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In-vivo observations on structural aging of the inner ear – a two-center study |
| Franziska Thiessen1, Seyed-Ahmad Ahmadi2, Virginia Flanagin2, Joyce Bosmans3, Huseyin Ozenc Taskin4, Vincent Van Rompaey5, Geoffrey Karl Aguirre4, and Peter zu Eulenburg6 | ||
1Institut for Neuroradiology, LMU Munich, Munich, Germany, 2Center for Vertigo and Balance Disorders, LMU Munich, Munich, Germany, 3Translational Neurosciences, University of Antwerp, Antwerpen, Belgium, 4Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 5Department of Otorhinolaryngology-Head & Neck Surgery, University of Antwerp, Antwerpen, Belgium, 6Institute for Neuroradiology, LMU Munich, Munich, Germany |
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We are on the road to further the role of high-resolution structural neuroimaging in the diagnostics of the most prevalent vestibular disorders. After creating an in-vivo template and atlas space for the inner ear, we have no investigated structural aging across all cochlear and vestibular anatomical regions in a representative cohort (n=87). We significant reduction along the aging process for cochlear width and length as well as some semicircular canal dimensions. Total intracranial volume was a highly relevant covariate in our analysis. Aging also seemed to affect most neuroimaging quality parameters as well and had to be controlled for. |
| 652
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Pitch: 14:53 Poster: 14:55 Plasma 5
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A multiclass deep-learning model with realistic data augmentation for improved 7T gray matter/spinal cord segmentation on patients and controls |
| Nilser J. Laines Medina 1,2, Charley Gros3,4, Julien Cohen-Adad3,4, Arnaud Le Troter1,2, and Virginie Callot1,2,5 | ||
1CRMBM, Aix-Marseille Univ, CNRS, Marseille, France, 2CEMEREM, APHM, CHU Timone, Marseille, France, 3NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC, Canada, 4MILA, Québec AI Institute, Montreal, QC, Canada, 5iLab-Spine, International Associated Laboratory, Marseille-Montreal, France |
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Automated methods for WM/GM segmentation in the spinal cord are now largely available. However, these techniques were mostly developed for conventional systems (≤3T) and do not necessarily perform well on 7T MRI data that feature finer details, contrasts, but also different artifacts or signal dropout. The primary goal of this study was thus to propose a new deep-learning model allowing robust SC/GM multi-class segmentation based on high-resolution 7T T2*-w MR images. The second objective was to highlight the relevance of implementing a realistic hybrid data augmentation strategy to provide better model generalization. |
| 653 | Pitch: 14:55 Poster: 14:57 Plasma 6
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Myelin Water Imaging Using a New 3D Short TR Adiabatic Inversion Recovery Prepared Short Echo Time (STAIR-STE) Sequence |
| Yajun Ma1, Hyungseok Jang1, Alecio F Lombardi 1, Annie Hiniker 2, Roland R Lee 1, Eric Y Chang1,3, Amy J Jak3,4, Dawn Schiehser 3,4, Alan N Simmons 3,4, Brian P Head3,5, Graeme M Bydder1, and Jiang Du1 | ||
1Radiology, University of California, San Diego, San Diego, CA, United States, 2Pathology, University of California, San Diego, San Diego, CA, United States, 3Veterans Affairs San Diego Healthcare System, San Diego, CA, United States, 4Psychiatry, University of California, San Diego, San Diego, CA, United States, 5Anesthesiology, University of California, San Diego, San Diego, CA, United States |
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Myelin water imaging (MWI) has been proposed as a myelin-specific technique to quantify water trapped within or tightly bound to myelin bilayers and thus provides an indirect assessment of myelin content and integrity. In this study, we developed and evaluated a novel 3D short TR adiabatic inversion recovery prepared short echo time (STAIR-STE) Cones sequence for robust MWI on a clinical 3T scanner. Our results show that the 3D STAIR-STE Cones sequence robustly suppresses long-T2 intra/extracellular water signals and provides selective volumetric imaging and quantification of myelin water fraction in the whole brain. |
| 654 | Pitch: 14:57 Poster: 14:59 Plasma 7
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Beyond Fractional Anisotropy: A Comparative Study of Myelin Water Fraction and Propagator Anisotropy in the Bonnet Macaque Brain |
| Laurel A Dieckhaus1, Courtney J Comrie1, Kelsey E McDermott2, Daniel T Gray2, Carol A Barnes2,3,4, and Elizabeth B Hutchinson1 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, United States, 3Psychology, Neurology and Neuroscience, University of Arizona, Tucson, AZ, United States, 4Psychology and Neurology, University of Arizona, Tucson, AZ, United States |
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White matter (WM) is commonly studied using the Diffusion Tensor Imaging (DTI) metric Fractional Anisotropy (FA), which has limitations especially in regions where more than one fiber population exists. We compared FA to diffusion techniques (Mean Apparent Propagator (MAP-MRI)) and relaxometry techniques (Myelin Water Fraction (MWF) and Bound Pool Fraction (BPF)) mapping in the normal bonnet macaque brain. The combination of histograms and correlation analysis revealed that MAP-MRI metric, Propagator Anisotropy (PA) and MWF may offer more information about WM than FA alone, while remaining relatively correlated with FA; while BPF did not have strong association with FA or MWF. |
| 655 | Pitch: 14:59 Poster: 15:01 Plasma 8
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Assessing white matter maturation and integrity in children using multi-component 3D-MR Fingerprinting and diffusion imaging |
| Marta Lancione1,2, Matteo Cencini1,2, Elena Scaffei1,3, Emilio Cipriano1,4, Guido Buonincontri1, Chiara Ticci1, Rosa Pasquariello1, Roberta Battini1,5, Raffaello Canapicchi1, Laura Biagi1,2, Michela Tosetti1,2, and Italian DEvelopmental Age Health Network (IDEA)6 | ||
1IRCCS Stella Maris, Pisa, Italy, 2Imago7 Research Foundation, Pisa, Italy, 3Department of Neuroscience, Psychology, Drug Research and Child Health, Neurofarba, University of Florence, Florence, Italy, 4Department of Physics, University of Pisa, Pisa, Italy, 5Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy, 6Italian DEvelopmental Age Health Network (RETE IDEA Ministry of Health), Rome, Italy |
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New biomarkers for myelination could improve the understanding of neurodevelopmental diseases and their diagnosis and treatment. We quantified Myelin Water Fraction (MWF) using MRF in a cohort of children with leukoencephalopathies and age-matched controls and we compared it to DTI-based FA. We obtained normative curves of white matter development with both techniques. MWF discriminated between controls and patients with higher sensitivity than FA, it was more myelin-specific and independent of the degree of axonal packing. Thanks to short scan time and simultaneous acquisition of other quantitative maps, MRF-based MWF may represent a valuable tool to study developmental disorders. |
| 656 | Pitch: 15:01 Poster: 15:03 Plasma 9
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Fixel-based analysis of aging white matter reveals selective fiber-specific degeneration |
| Ana Han1, Jordan A. Chad1,2, Thijs Dhollander3, and J. Jean Chen1,2 | ||
1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia |
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White matter (WM) microstructural aging is often studied with diffusion MRI via voxelwise metrics such as fractional anisotropy (FA). Decreasing FA with advancing age is frequently interpreted as WM microstructural degeneration, but relying on FA for this purpose only makes sense if a voxel contains a single fiber tract. In this work we use fixel-based analysis (FBA) to investigate the association of fiber-specific measures with age among each individual "fixel" within a voxel. We find intra-voxel differences in age associations of crossing fixels, demonstrating that traditional voxel-based analyses are inappropriate for probing age-related fiber degeneration in scenarios of multi-fiber crossings. |
| 657 | Pitch: 15:03 Poster: 15:05 Plasma 10
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Length-dependent spatial distribution of short fiber bundles revealed with the mesoscopic Chenonceau dataset |
| Alexandros Popov1, Ivy Uszynski1, Bastien Herlin1, Maelig Chauvel1, Igor Maldonado2, Christophe Destrieux2, and Cyril Poupon1 | ||
1BAOBAB, NeuroSpin, CEA, Université Paris-Saclay, CNRS, Gif-sur-Yvette, France, France, 2iBrain U1253, Université de Tours, CHU Bretonneau, INSERM, Tours, France |
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Mesoscopic diffusion datasets allow to study the superficial tracts of the human brain. We exploit the new Chenonceau Dataset, an ultra-high resolution diffusion-weighted dataset, to investigate the organization of short fibers ( between 10 and 60 mm ) in the whole brain. To achieve this goal, we process the dense Chenonceau connectogram with a hierarchical clustering algorithm to obtain coherent fiber bundles, sorted over a centimetric range. It leads to the first density mapping of short fibers across the whole human brain. This mapping displays important inter-hemispheric variations, supporting the functional lateralization of various functional networks. |
| 658
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14:45
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Functional Lung MRI at 3.0 T using Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA) |
| Sarah H. Needleman1, Mina Kim1, Jamie R. McClelland1, Marta Tibiletti2, Josephine H. Naish2,3, James P. B. O'Connor4, and Geoff J. M. Parker1,2 | ||
1Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 2Bioxydyn Limited, Manchester, United Kingdom, 3MCMR, Manchester University NHS Foundation Trust, Manchester, United Kingdom, 4Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom |
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Analysis of dynamic lung OE-MRI is challenging due to the presence of substantial artefacts and poor SNR, particularly at 3 T. We propose a cyclical oxygen delivery scheme and ICA to separate the oxygen-enhancement signal from these confounding factors at 3 T. The proposed method extracts a well-defined oxygen-enhancement signal that removes confounds due to proton density changes, blood flow and motion. We also demonstrate the ability to resolve the opposite enhancement effects of the parenchymal and vascular OE-MRI signals to provide information on pulmonary vasculature and gas distribution. The method is shown to be sensitive to smoking status. |
| 659 | 14:57
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Hyperpolarized 129Xe MR Imaging in Neonates with Bronchopulmonary Dysplasia: Feasibility and Challenges |
| Neil J Stewart1,2, Nara Higano2,3,4,5, Shanmukha Sai Mukthapuram3,6, Matthew M Willmering2,3, Anita Arnsperger7, Ronald Pratt4, Wolfgang Loew4, Madhwesha R Rao1, Rolf F Schulte8, Jim M Wild1, and Jason C Woods2,3,4,5 | ||
1POLARIS, Imaging Sciences, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 2Center for Pulmonary Imaging Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 4Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 5Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States, 6The Perinatal Institute, Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 7Division of Respiratory Care, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 8GE Healthcare, Munich, Germany |
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We report the first-ever experience in performing HP 129Xe MRI in neonates. The neonates had prematurity-related lung disease (bronchopulmonary dysplasia), a major cause of morbidity/mortality that remains poorly characterised. The feasibility of imaging during a short (<3s) breath-hold apnea was demonstrated. Spiral-based 129Xe ventilation imaging showed good image quality (SNR>20) and sufficient sensitivity to detect mild ventilation abnormalities. Dynamic 129Xe spectroscopy revealed the existence of resonances near the conventional tissue/plasma and red blood cells resonances observed in children and adults. With further data, our work may impact on the management of infant lung diseases in the neonatal period and beyond. |
| 660 | 15:09
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Functional 3D-UTE MRI of the Lungs for Monitoring Ventilation Inhomogeneity in Patients with Cystic Fibrosis on Treatment with CFTR Modulators |
| Julius Heidenreich1, Philipp Josef Kuhl1, Corona Metz1, Andreas Max Weng1, Jan-Peter Grunz1, Thomas Benkert2, Helge Hebestreit3, Thorsten Alexander Bley1, Herbert Köstler1, and Simon Veldhoen1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 2Siemens Healthineers GmbH, Erlangen, Germany, 3Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany |
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Single breath-hold 3D-UTE-MRI was proposed for simultaneous evaluation of lung morphology and function. Sixteen patients with cystic fibrosis (CF) underwent initial and follow-up 3D-UTE-MRI in 2019 and 2021. In line with a previous study, referenced voxelwise fractional ventilation (FV) provided a marker that correlates strongly with the lung clearance index (LCI), reflecting ventilation inhomogeneity. Seven patients received a new drug-combination (ivacaftor/elexacaftor/tezacaftor) with significantly improved lung function during clinical follow-up. Similarly, significantly decreased ventilation inhomogeneity was derived from functional MRI. Thus, single breath-hold 3D-UTE MRI is a valuable tool for monitoring ventilation inhomogeneity in patients with CF during drug treatment. |
| 661 | 15:21
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High-resolution dynamic 3D UTE Lung MRI using motion-compensated manifold learning |
| Qing Zou1, Luis A. Torres2, Sean B. Fain1, and Mathews Jacob1 | ||
1University of Iowa, Iowa City, IA, United States, 2University of Wisconsin–Madison, Madison, WI, United States |
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UTE radial MRI methods are powerful tools for probing lung structure and function. However, the challenge in directly using this scheme for high-resolution lung imaging applications is the long breath-hold needed. While self-gating approaches that bin the data to different respiratory phases are promising, they do not allow the functional imaging of the lung and are often sensitive to bulk motion. The main focus of this work is to introduce a novel motion compensated manifold learning framework for functional and structural lung imaging. The proposed scheme is robust to bulk motion and enables high-resolution lung imaging in around 4 minutes. |
| 662 | 15:33
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Lung nodule imaging using high-performance 0.55T MRI |
| Björn Wieslander1, Ahsan Javed2, Rajiv Ramasawmy2, Ashkan A Malayeri3, Scott Baute2, Kendall J O'Brien2, Christine Mancini2, Amanda Potersnak2, Cheryl Warga4, Joel Moss1, Marcus Y Chen2, and Adrienne E Campbell-Washburn2 | ||
1Pulmonary Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 3Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 4National Cancer Institute, National Institutes of Health, Bethesda, MD, United States |
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Lung imaging plays an important role in routine screening for lung nodules and lung cancer. Magnetic resonance imaging (MRI) has recently emerged as an alternative to computed tomography (CT) to image lung nodules. Lower field MRI offers high image quality, due to improved field homogeneity, and lower cost. We imaged 11 patients who had a total of 29 nodules visible on clinically motivated CT scans. T2-weighted images showed good agreement with CT in terms of nodule size and diameters and malignant nodules were more often visible on diffusion weighted images (b = 800). |
| 663 | 15:45
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Longitudinal comparison of quantitative UTE lung MRI and CT biomarkers in interstitial lung disease |
| Ho-Fung Chan1, Timothy J Baldwin1, Harry Barker1, Neil J Stewart1, James A Eaden1,2, Paul J.C Hughes1, Nicholas D Weatherley1, Joshua Astley1,3, Bilal A Tahir1,3, Kevin M Johnson4, Ronald A Karwoski5, Brian J Bartholmai6, Marta Tibiletti7, Colm T Leonard8,9, Sarah Skeoch8,10, Nazia Chaudhuri8,9, Ian N Bruce8,9, Geoff J.M Parker7,11, Stephen M Bianchi2, and Jim M Wild1 | ||
1Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 3Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom, 4Radiology and Medical Physics, University of Wisconsin, Madison, WI, United States, 5Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, United States, 6Radiology, Mayo Clinic, Rochester, MN, United States, 7Bioxydyn Limited, Manchester, United Kingdom, 8University of Manchester, Manchester, United Kingdom, 9Manchester University NHS Foundation Trust, Manchester, United Kingdom, 10Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom, 11Centre for Medical Image Computing, University College London, London, United Kingdom |
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UTE lung MRI approaches the diagnostic quality of CT, opening up the possibility for longitudinal follow-up of interstitial lung disease (ILD) progression. Two quantitative biomarkers of UTE lung signal were developed for monitoring longitudinal change in ILD and benchmarked against quantitative CT CALIPER measurements. Normalized UTE lung signal and UTE high percentage (based on 95% cutoff of healthy UTE lung values) was significantly different between nine healthy volunteers and sixteen ILD patients. Longitudinal change in UTE biomarkers correlated with change in CT CALIPER ILD% in the ILD patients, and most-strongly correlated to CT ground-glass changes in the lung parenchyma. |
| 664 | 15:57
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Improving Efficiency of Ultra-short Echo Time MRI in Neonatal Lungs with a FLORET Spiral Trajectory |
| Andrew D Hahn1,2, Nara S Higano3,4,5, Matthew M Willmering3,4,6, Neil J Stewart6,7, Jason C Woods3,4,5,6,8,9, and Sean B Fain1,2 | ||
1Department of Radiology, University of Iowa, Iowa City, IA, United States, 2Department of Medical Physics, University of Wisconsin, Madison, Madison, WI, United States, 3Division of Pulmonary Medicine, Cincinnati Children's Hospital, Cincinnati, OH, United States, 4Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, United States, 5Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States, 6Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States, 7POLARIS, Imaging Sciences, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 8Department of Radiology, University of Cincinnati, Cincinnati, OH, United States, 9Department of Physics, University of Cincinnati, Cincinnati, OH, United States |
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State-of-the-art structural pulmonary MRI of neonatal intensive care unit patients has previously been performed using 3D radial UTE. Performance is high yet scan times can be 15 minutes or more due to the low sampling efficiency of radial trajectories. Here we explore FLORET UTE in this application and demonstrate comparable image quality to the state-of-the-art in approximately 25% of the scan time. Lung parenchymal SNR is maintained, and the spiral trajectory provides a higher parenchymal signal relative to muscle. Shorter scan times reduce the opportunity for bulk motion and risk to this sensitive population. |
| 665 | 16:09
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Imaging lung water redistribution using 0.55T ultrashort echo time MRI |
| Felicia Seemann1, Ahsan Javed1, Rachel Chae1, Amanda Potersnak1, Scott Baute1, Kendall O’Brien1, Rajiv Ramasawmy1, Robert J Lederman1, and Adrienne E Campbell-Washburn1 | ||
1Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Quantification of changes in lung water using MRI may provide clinical value in early diagnosis of heart failure. In this study, we demonstrate the ability of our 3D free-breathing spiral ultrashort-TE sequence to quantify and capture changes in lung water using a high-performance 0.55T MRI system. A phantom containing mixtures of water and deuterium oxide at varying concentrations was used to validate water density quantification. Our proposed approach captured the gravity-induced redistribution of lung water, achieved by imaging subjects in the supine and prone positions. |
| 666
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14:45
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Whole-body fasciculation detection in Amyotrophic Lateral Sclerosis (ALS) using motor unit MRI (MUMRI) |
| Linda Heskamp1, Matthew G. Birkbeck1,2,3, Julie Hall1,4, Ian S. Schofield1, Hugo de Oliveira5, Timothy L. Williams5, Roger G. Whittaker1, and Andrew M. Blamire1 | ||
1Newcastle University Translational and Clinical Research Institute, 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, Freeman Hospital, Newcastle upon Tyne NHS Foundation Trust, Newcastle upon Tune, United Kingdom, 4Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom, 5Directorate of Clinical Neurosciences, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom |
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The spontaneous contraction of motor units in muscle, i.e. fasciculation, has been recognised as an important diagnostic marker in amyotrophic lateral sclerosis (ALS). Fasciculation can be imaged with a novel MRI technique called motor unit MRI. This technique uses a diffusion weighted sequence on which fasciculation presents as short-living signal voids. We demonstrated an increased fasciculation rate in ALS patients compared to healthy controls by assessing the four body regions relevant in the diagnosis of ALS. The affected body regions differed between patients. This is in line with the heterogeneous disease onset and supports our proposed whole-body approach. |
| 667 | 14:57
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Age-related changes in human skeletal muscle microstructure and architecture assessed by DT-MRI and their association with muscle strength |
| Donnie Cameron1,2, David A. Reiter3, Fatemeh Adelnia4, Ceereena Ubaida-Mohien5, Christopher M. Bergeron6, Seongjin Choi7, Kenneth W. Fishbein6, Richard G. Spencer6, and Luigi Ferrucci5 | ||
1Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 2Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Emory University School of Medicine, Atlanta, GA, United States, 4Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 5Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States, 6Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States, 7Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States |
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Here we apply diffusion-tensor-(DT)-MRI to study muscle microstructural and architectural changes with healthy ageing in 94 participants (median age=56, range=22-89yrs). Fractional anisotropy (FA) and mean diffusivity (MD), were calculated for 12 thigh muscles, as were pennation angle, fascicle length, fibre curvature, and physiological cross-sectional area (PCSA) for the rectus femoris and biceps femoris longus. Knee extension/flexion torques were also measured. FA and MD were significantly associated with age (β=0.34 and −0.34, p<0.05), as were architecture parameters. Pennation angle and PCSA were positively associated with strength. This may prove useful for studying muscle response to interventions designed to delay sarcopenia. |
| 668 | 15:09
|
Muscle hypertrophy in resistance training assessed with Diffusion Tensor Imaging |
| Valentina Mazzoli1, Elka Rubin 1, Marco Barbieri1, Andrew Schmidt1, Lauren Watkins1, Akshay Chaudhary1, Feliks Kogan1, and Garry Gold1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States |
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5 healthy subjects consistently performed a declined squad training routine for 3 months. Every subject received an MRI scan before undergoing the training and subsequently every month until the end of the training. We observed a decrease in AD, MD and FA over the course of training, with a significant change after 1 month. Muscle volume increased, with changes only apparent at 3 months. Changes in diffusion parameters were predictive of changes in global volume. Our study shows that DTI can be a sensitive tool to study muscle hypertrophy and could be used for early monitoring of training and rehabilitation. |
| 669 | 15:21
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Extra-ocular muscle volume, T2water and fat fraction are slightly increased in patients with myasthenia gravis |
| Kevin R. Keene1,2, Jan J.G.M. Verschuuren1, Irene C. Notting3, Martijn R. Tannemaat1, Jan-Willem M. Beenakker2,3, and Hermien E. Kan2 | ||
1Department of Neurology, Leiden University Medical Center, Leiden, Netherlands, 2C.J. Gorter Center of High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Department of Opthalmology, Leiden University Medical Center, Leiden, Netherlands |
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Quantitative MRI of the extra-ocular muscles might have diagnostic value and play a role in therapeutic monitoring in myasthenia gravis (MG). Our data show a slight increase in volume, fat fraction and T2water in extra-ocular muscles of MG patients compared to controls. Volume and fat fraction changes were most pronounced in chronic MG patients, T2water changes were most pronounced in recently diagnosed and untreated MG patients. The absence of gross structural changes implies that eye muscle weakness might be reversible, even in chronic patients with residual ophthalmoplegia. |
| 670 | 15:33
|
Evaluating correlations of quantitative muscle MRI of leg muscles and clinical outcome measurements in patients with LGMD2A |
| Lara Schlaffke1, Marlena Rohm1, Robert Rehmann1,2, Anne-Katrin Güttsches1, Martijn Froeling3, Matthias Vorgerd1, and Johannes Forsting1 | ||
1Neurology, University Clinic Bergmannsheil Bochum gGmbH, Bochum, Germany, 2Neurology, Klinikum Dortmund, University Witten-Herdecke, Dortmund, Germany, 3Radiology, UMC Utrecht, Utrecht, Netherlands |
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Quantitative MRI (qMRI) techniques like Dixon fat-fraction (FF) and quantitative water-T2 relaxation time (T2) are promising non-invasive tools in the evaluation of neuromuscular diseases like LGMD2A. In this study, we were able to show moderate to strong correlations between quantitative MRI values, especially FF, with clinical outcome measures and daily life activities. Analysis of T2 relaxation time in non-fat-infiltrated leg muscles of LGMD2A patients showed a significantly higher water T2 values compared to healthy controls. Therefore, T2 relaxation times may offer an earlier detection of disease-related change of muscular tissue in limb girdle muscular dystrophy compared to irreversible fat-fractions. |
| 671
|
15:45
|
Quantitative MRI Analysis of Muscle Denervation |
| Tim Yiran Li1, Erin Argentieri2, Emily Pedrick2, Darryl B. Sneag2, and Ek T. Tan2 | ||
1Weill Cornell Medical College, New York, NY, United States, 2Hospital for Special Surgery, New York, NY, United States |
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Macroscopic muscle volume evaluation and quantitative MRI of diffusion microstructure may provide objective, longitudinal assessment of muscle denervation. Analysis of subjects with Parsonage-Turner syndrome (neuralgic amyotrophy) showed both reduced muscle volume and reduced muscle diameter. Macroscopic muscle volume demonstrated a strong positive correlation with microscopic diffusion-based muscle diameter, and a strong negative correlation with T2-mapping. Denervated muscles exhibited longitudinal changes in quantitative MRI metrics, whereas non-denervated (control) muscles showed minimal quantitative changes. |
| 672 | 15:57
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Strain rates along the fiber are heterogeneously distributed over the length of lower leg muscles during dynamic exercise |
| Melissa Tamara Hooijmans1, Thom T.J. Veeger2, Valentina Mazzoli3, Hans C. van Assen4, Lukas M. Gottwald1, Aart J. Nederveen1, Jurriaan H. de Groot5, Gustav J. Strijkers6, and Hermien E. Kan2,7 | ||
1Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Amsterdam, Netherlands, 2C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Department of Radiology, Stanford University, Stanford, CA, United States, 4Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 5Department of Rehabilitation Medicine, Leiden University Medical Center, Leiden, Netherlands, 6Department of Biomedical Engineering and Physics, Amsterdam Movement Sciences, Amsterdam University Medical Center, Amsterdam, Netherlands, 7Duchenne Center Netherlands, Leiden, Netherlands |
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In this study we assessed strain rates along and close to perpendicular to the fiber in the lower-leg muscles, by combining 3D phase contrast with DTI-derived fiber orientations, during dynamic exercise with and without load. Our data revealed spatially heterogeneous strain rate patterns along the fiber within lower-leg muscles, with smallest and largest strain rates in the most proximal and distal segments of the Gastrocnemii muscles, respectively, and opposed (expansion and contraction) strain rate patterns between some of the Tibialis Anterior (TA) muscle compartments. Additional loading resulted in higher strain rates in TA compartments but lower in the Gastrocnemii muscles. |
| 673 | 16:09
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The value of water T2 relaxation time in the early detection of neuromuscular diseases: a retrospective biopsy-controlled analysis in 83 patients |
| Fabian Balsiger1, Noah Locher2, Benedikt Wagner1, and Olivier Scheidegger1,2 | ||
1Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 2Centre for Neuromuscular Diseases, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland |
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The diagnostic ability of quantitative water T2 mapping using multi-slice multi-echo sequences for the early detection of neuromuscular diseases (NMDs) was compared to fat-suppressed T2-weighted turbo inversion recovery magnitude (TIRM) MRI. Water T2 mapping had a significantly higher sensitivity and diagnostic ability in detecting muscle abnormalities than the subjective grading of TIRM MRI, prior to late-stage fatty infiltration signal alternations in T1-weighted MRI. Normal appearing TIRM MRI does not rule out disease activity in muscles in NMDs. Our findings suggest considering water T2 mapping over TIRM MRI for early detection of NMDs in clinical practice. |
| 674 | 14:45
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Oral delivery of 2H-labeled fumarate for deuterium magnetic resonance spectroscopic imaging of tumor cell death in vivo |
| Friederike Hesse1, Alan Wright1, Vencel Somai1,2, Flaviu Bulat1,3, and Kevin Brindle1,4 | ||
1CRUK CI, University of Cambridge, Cambridge, United Kingdom, 2Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 3Department of Chemistry, University of Cambridge, Cambridge, United Kingdom, 4Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom |
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Cell death is an important imaging target for assessing early tumour treatment response and the effectiveness of therapy. We show here that 2H-labelled fumarate can be administered orally to detect cell death and assess early tumour treatment response in a subcutaneous lymphoma (EL4) model. Following oral gavage, 2H spectra were acquired from tumors with a time resolution of 5 min. Within 48h after chemotherapeutic drug (etoposide) treatment the tumor malate/fumarate signal ratios increased similarly to those measured after intravenous injection. |
| 675 | 14:57
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Cell proliferation correlates with glucose metabolic fluxes in mouse glioblastoma subtypes as assessed via deuterium MRS |
| Rui V Simoes1, Rafael N Henriques1, Beatriz M Cardoso1, Francisca F Fernandes1, Tania V Carvalho1, and Noam V Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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Dynamic glucose-enhanced deuterium MRS (DGE 2H-MRS) coupled with Marchenko-Pastur PCA denoising has shown potential for in vivo quantification of glucose metabolism through glycolysis and mitochondrial oxidation in a mouse model of glioblastoma, and for assessment of pathway flux modulations according to tumor heterogeneity. Here, we extend this approach to immunocompetent mouse glioblastoma subtypes with marked differences in tumor cell metabolism and histopathologic features, to utterly demonstrate the potential of DGE 2H-MRS for non-invasive metabolic phenotyping of glioma, or other cancers with mitochondrial oxidation dependencies, according to key features of the tumor microenvironment such as cell proliferation. |
| 676 | 15:09
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Deuterium magnetic resonance spectroscopy using 2H-pyruvate allows in vivo imaging of tumor burden and response to therapy |
| Georgios Batsios1, Celine Taglang1, Meryssa Tran1, Anne Marie Gillespie1, Sabrina Ronen1, Joseph Costello2, 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) is essential for tumor proliferation and is an attractive therapeutic target. Non-invasive methods of imaging TERT can report on tumor proliferation and response to therapy. Here, we show that 2H-MRS following administration of [U-2H]pyruvate non-invasively monitors TERT expression in clinically relevant patient-derived glioma models. Importantly, imaging TERT using [U-2H]pyruvate provides a readout of response to targeted TERT inhibitors and standard of care chemotherapy in vivo, at early timepoints that precedes MRI-detectable anatomical alterations. Clinical translation of our results can enable non-invasive assessment of TERT expression in vivo and, thereby, aid in imaging response to anti-cancer therapies. |
| 677
|
15:21
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Proton and hyperpolarized 13C MRS based biomarkers response to the BAY-1436032 IDH inhibitor in cell and in vivo glioma models |
| Donghyun Hong1, Marina Radoul1, Noriaki Minami1, Anne Marie Gillespie1, Russell O. Pieper1, Joseph Costello1, Pavithra Viswanath1, and Sabrina M. Ronen1 | ||
1University of California, San Francisco, San Francisco, CA, United States |
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Mutant IDH1 inhibitor treatment is currently in clinical trials for glioma patients. Therefore, in vivo biomarkers are needed to assess early therapeutic responses. Here we treated mutant IDH1-expressing cells and animals with patient-derived mutant IDH1 brain tumors with the emerging inhibitor BAY-1436032. Using 1H MRS we found a significant decrease in 2HG that was accompanied by an increase in glutamate and phosphocholine, and using 13C MRS we detected a significant decrease in 2HG and a significant increase in glutamate produced from hyperpolarized [1-13C] α-ketoglutarate in cell and animal models. |
| 678 | 15:33
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MRS to assess changes in total choline as a potential marker of treatment response to choline kinase inhibition in GL261 mouse glioblastomas |
| Sourav Bhaduri1, Jack Sharkey1, Soham Mukherjee1, Edward J Delikatny2, Sungheon G Kim3, and Harish Poptani1 | ||
1Centre for Preclinical Imaging, University of Liverpool, Liverpool, United Kingdom, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Weill Cornell Medical College, New York, NY, United States |
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This study investigates the effect of JAS239 on GL261 mouse glioblastoma using MRS. Higher reduction in Cho concentration and Cho/Cr ratios were observed in the tumour region than the contralateral normal brain after JAS239, indicating high sensitivity of MRS in as a pharmacodynamic marker of ChoK inhibition in glioblastomas with a potential of being an alternative treatment method. |
| 679 | 15:45
|
Advanced Vessel- and Cell-Size MRI to Assess Chemo-Radiation Treatment Response in Pediatric Ependymoma Models |
| Natalie J Serkova1, Jane S Manalo2, Jenna L Steiner2, Andrea M Griesinger2, Angela Pierce2, Mark S Brown2, and Nicholas F Foreman3 | ||
1Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 2University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 3Children's Hospital Colorado, Aurora, CO, United States |
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We report on an advanced mpMRI protocol for characterizing the cellular and vascular phenotype in an orthotopic mouse model of pediatric ependymoma (EPN). Using diffusion-weighted based cell-size imaging, iron-oxide based vessel-size imaging and quantitative T2-maps, we report on an EPN-specific phenotype, characterized by an increased cell size (S=14 microns), increased vessel density index (Q=0.54), and low ADC values (0.63x10-3). Radiation treatment (10 Gy) in combination with 5-fluorouracil chemotherapy resulted in a decrease of gross tumor volumes, tumor necrosis with decreased cell sizes and increased ADC values, as well as a dramatic vascular-inflammatory response (highly decreased Q and DT2 values). |
| 680 | 15:57
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Assessing tumour haemodynamic heterogeneity and response to choline kinase inhibition using DCE-MRI in rodent models of glioblastoma |
| Sourav Bhaduri1, Jack Sharkey1, Clémentine Lesbats2, Claire L. Kelly1, Soham Mukherjee1, Edward J Delikatny3, Sungheon G Kim4, and Harish Poptani1 | ||
1Centre for Preclinical Imaging, University of Liverpool, Liverpool, United Kingdom, 2Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Radiology, Weill Cornell Medical College, New York, NY, United States |
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This study was designed to monitor changes in DCE-MRI based parameters Ktrans, ve, τi and Fp in pre-clinical GBM models in response to choline kinase inhibition using a cluster analysis approach. The study demonstrates that region-based clustered pharmacokinetic parameters obtained using DCE-MRI can be used for detecting and assessing tumour heterogeneities which may be useful in assessing therapeutic response. |
| 681 | 14:45
|
ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization |
| Stenzel CACKOWSKI1, Emmanuel Luc Barbier1, Michel Dojat1, and Thomas Christen1 | ||
1Grenoble Institut of Neurosciences, Grenoble, France |
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ImUnity is an original deep-learning model designed for efficient and flexible MRI harmonization. A VAE-GAN network is coupled with a confusion and a biological preservation module. It ‘corrects’ MR images that can be used for various multi-center studies. Using 3 open source databases, we show that ImUnity: outperforms state-of-the-art methods in terms of quality of images generated; removes sites/scanner bias while improving patients classification; harmonizes data coming from new sites/scanners and allows the selection of multiple MR reconstructed images according to the desired applications. Tested on T1w images, ImUnity could be generalized to other types of medical images. |
| 682 | 14:57
|
Simulated fMRI responses using human Vascular Anatomical Network models with varying architecture and dynamics |
| Grant Hartung1,2, Joerg Pfannmoeller1,2, Avery J. L. Berman1,2, and Jonathan R. Polimeni1,2,3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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We utilized a synthesis algorithm to generate a vascular anatomical network model for the human cortex to act as a basis for biophysical simulations of the fMRI response. We identified key features of the vascular topology needed to generate realistic BOLD responses with this model. We used this model to show how parametric variations in vascular architecture affect the BOLD responses across cortical depths. Finally we investigated approaches to translate arteriolar dilation patterns recorded from the mouse cortex to our human model and found that they may not be capable of capturing the distinct hemodynamic response observed in human fMRI data. |
| 683 | 15:09
|
Accelerating High b-Value DWI Acquisition Using a Convolutional Recurrent Neural Network |
| Zheng Zhong1, Kanghyun Ryu1, Jae Eun Song1, Janhavi Singhal2, Guangyu Dan3, Kaibao Sun3, Shreyas S. Vasanawala1, and Xiaohong Joe Zhou3,4 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Homestead High School, Cupertino, CA, United States, 3Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 4Radiology, Neurosurgery and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States |
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DWI can probe tissue microstructures in many disease processes over a broad range of b-values. In the scenario where severe geometric distortion presents, non-single-shot EPI techniques can be used, but introduce other issues such as lengthened acquisition times, which often requires undersampling in kspace. Deep learning has been demonstrated to achieve many-fold undersampling especially when highly redundant information is present. In this study, we have applied a novel convolutional recurrent neural network (CRNN) to reconstruct highly undersampled (up to six-fold) multi-b-value, multi-direction DWI dataset by exploiting the information redundancy in the multiple b-values and diffusion gradient directions. |
| 684 | 15:21
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BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI |
| Efrat Shimron1, Alfredo De Goyeneche1, Ke Wang1, Alma Halgren1, Ali B. Syed2, Shreyas Vasanawala2, and Michael Lustig1 | ||
1UC Berkeley, Berkeley, CA, United States, 2Stanford, Stanford, CA, United States |
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To improve bowel wall imaging in abdominal pediatric MRI scans, we propose a multi-phase single-shot fast spin echo (SSFSE) PROPELLER acquisition with novel deep learning reconstruction. This acquisition offers shorter scan time and thus higher temporal resolution, PROPELLER built-in motion correction, and alias-free images; these however exhibit spatial blurring. Our approach leverages the blurring-axis temporal rotation and data redundancy; we train a network to recover high-frequency spatial details from consecutive frames. Retrospective simulations with data from balanced SSFP scans show that this approach yields reconstructions with high spatio-temporal resolution and motion-correction, which are essential for pediatric abdominal imaging. |
| 685 | 15:33
|
Uncertainty estimation via ensembling for deep learning-based MR image reconstruction |
| Tobias Hepp1,2, Sergios Gatidis1,2, Kerstin Hammernik3,4, and Thomas Küstner1 | ||
1Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tübingen, Germany, 2Max Planck Institute for Intelligent Systems, Tübingen, Germany, 3Lab for AI in Medicine, Technical University of Munich, Munich, Germany, 4Department of Computing, Imperial College London, London, United Kingdom |
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Deep learning-based MR image reconstruction from undersampled data bears the risk of inducing reconstruction errors like in-painting of non-anatomical structures, or missing pathologies. These errors may be obscured by the deep learning process and thus remain undiscovered. Furthermore, most methods are task-specialized and not well calibrated to domain shifts. Thus, integrated uncertainty prediction would be desirable. We propose a deep ensembling strategy that allows us to assess potential algorithm failures and better adapt to changing scenarios. The proposed approach can be paired with any DL reconstruction, enabling investigations of their predictive uncertainties on a voxel-level. |
| 686
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Pitch: 14:45 Poster: 14:47 Plasma 16
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Designing a Clinical Decision Support System for MRI Radiology Titles Using Machine Learning Techniques and Electronic Medical Records |
| Peyman Shokrollahi1, Juan M. Zambrano Chaves1, Jonathan P.H. Lam1, Avishkar Sharma1, Debashish Pal2, Naeim Bahrami2, Akshay S. Chaudhari1, and Andreas M. Loening1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2GE Healthcare, Sunnyvale, CA, United States |
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The use of inappropriate radiology protocols introduces risk of missed and incomplete diagnoses, thus endangering patient health, potentially prolonging treatment, and increasing healthcare costs. A clinical decision support system based on machine learning and electronic medical records of patients undergoing MRI was developed to predict radiology titles and their probabilities for radiologist review. A cumulative F1-score of ~85% was obtained for the top three predicted titles. The proposed system can guide physicians toward selecting appropriate titles and alert radiologists of potentially inappropriate selections, thereby improving imaging utility and increasing diagnostic accuracy, which favors better patient outcomes. |
| 687 | Pitch: 14:47 Poster: 14:49 Plasma 17
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Brain in a virtual Petri dish: Flattening high resolution cortex patches in MRI and histology |
| Omer Faruk Gulban1,2, Renzo Huber3, Konrad Wagstyl4, Saskia Bolmann5, Dimo Ivanov3, Kendrick Kay6, and Rainer Goebel2,3 | ||
1Cognitive Neuroscience Department, Maastricht University, Maastricht, Netherlands, 2Brain Innovation, Maastricht, Netherlands, 3Cognitive Neuroscience, Maasticht University, Maastricht, Netherlands, 4UCL, London, United Kingdom, 5Center for Advanced Imaging, The University of Queensland, Queensland, Australia, 6Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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High resolution imaging poses analysis challenges in the daily lives of high-resolution imaging researchers (high res. MRI, histology). One challenge is flattening patches of the cortex to study the cortical topography. We demonstrate a method that works in volume without requiring triangular meshes to represent the cortical surfaces at any stage of the algorithm. This approach for surface mapping enables mesoscopic analysis of cortical architecture. Our method is specifically developed for -but not limited to- flattening patches of the cortex. We implement our patch flattening as a C++ program and make it freely available within LayNii v2.1.0. |
| 688 | Pitch: 14:49 Poster: 14:51 Plasma 18
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On the Reliability of Connectome Harmonic Decompositions of Human Brain Structure and Function |
| Brian S Winston1, Hoyt Patrick Taylor2, Pew-Thian Yap2, Frederick S Barrett1, and James J Pekar3,4 | ||
1Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, United States, 2Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, United States, 3F.M. Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Radiology, Johns Hopkins University, Baltimore, MD, United States |
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The connectome harmonic decomposition provides a principled approach to dimensionality reduction of human brain functional data using the eigenmodes of the graph Laplacian derived from the anatomical connectome. In the present report, test-retest data from the Human Connectome Project are used to assess the reliability of the structural harmonics, and of decompositions of resting-state functional MRI data using these harmonics. For both structure and function, reliability was higher within than between subjects, and decreased with harmonic rank. |
| 689 | Pitch: 14:51 Poster: 14:53 Plasma 19
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Comparing Diffusion MRI Metrics with 3D Nissl Staining of Whole Mouse Brain at Microscopic Resolution |
| Nian Wang1,2 and Surendra Maharjan1 | ||
1Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, United States, 2Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN, United States |
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Magnetic resonance imaging (MRI) offers a noninvasive method for characterizing brain neuroanatomy and provides insights into various disease processes. Diffusion MRI (dMRI) has been used for assessment of tissue microstructure due to its exquisite sensitivity to finer scales far above imaging resolution. The recently developed Allen Mouse Brain Common Coordinate Framework (CCFv3) has opened the opportunities to integrate multimodal and multiscale datasets of whole mouse brain in 3D, and thus, this approach can be used to compare quantitative MRI parameters with conventional histology features throughout the whole brain. |
| 690 | Pitch: 14:53 Poster: 14:55 Plasma 20
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Model Pruning for Generalisability Across MRI Imaging Sites |
| Nicola Katharine Dinsdale1, Mark Jenkinson2,3, and Ana IL Namburete4 | ||
1WIN / Oxford Machine Learning in NeuroImaging Lab, University of Oxford, Oxford, United Kingdom, 2WIN, University of Oxford, Oxford, United Kingdom, 3Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia, 4Computer Science, Oxford Machine Learning in NeuroImaging Lab, University of Oxford, Oxford, United Kingdom |
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We propose an algorithm to simultaneously prune and train CNNs, leading to networks which have increased generalisability across imaging sites. Through segmentation of data from the ABIDE dataset, we show that through reducing the number of parameters in the network throughout training, we are able to reduce model overfitting, creating a model which is more robust to expect image variations across scanners. We also introduce a novel Targeted Dropout algorithm, which aids the process of model pruning. We demonstrate the approach on a UNet architecture, the basis of nearly all segmentation approaches across medical imaging. |
| 691 | Pitch: 14:55 Poster: 14:57 Plasma 21
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Functional MRI of mice olfactory bulbs at 15.2T reveals characteristic activation patterns when stimulated by different odors |
| Odélia Jacqueline Chitrit1, Qingjia Bao1, Silvia Chuartzman2, Noga Silkha2, Tali Kimchi2, and Lucio Frydman1 | ||
1Chemical and biological physics, Weizmann institute of Science, Rehovot, Israel, 2Neurobiology, Weizmann institute of Science, Rehovot, Israel |
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Single-shot fMRI executed at ultrahigh fields can reveal valuable insight about brain function, if it successfully overcomes field inhomogeneity problems. Spatiotemporal Encoding provides a route for achieving this, enabling studies on the olfactory bulbs of mice at 15.2T. Images collected with a 125 µm in-plane resolution yielded remarkably large and well-defined responses to olfactory cues, particularly in males. These were unambiguously linked to olfaction via single-nostril experiments. The experiments highlighted specific activation regions in the external plexiform region and in glomeruli in the lateral part of the bulb, when stimulated by aversive or appetitive odors, respectively. |
| 692 | Pitch: 14:57 Poster: 14:59 Plasma 22
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High-resolution MAP-MRI reveals cortical area specific laminar patterns observed with histological staining |
| Alexandru V Avram1,2, Kadharbatcha S Saleem1,2, Michal E Komlosh1,2, and Peter J Basser1 | ||
1Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, 2Center for Neuroscience and Regenerative Medicine, The Henry Jackson Foundation, Bethesda, MD, United States |
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We investigate the sensitivity of high-resolution MAP-MRI to distinguish cortical architectonic features by directly comparing laminar patterns in whole-brain volumes of MAP-derived parameters to the corresponding histological sections in the same macaque monkey brain. MAP parameters, in particular PA, NG, RTAP, DEC, and fODF maps, show cortical area-specific lamination patterns with excellent conspicuity in the mid-cortical layers, matching, and sometimes complementing, the contrast observed in the immuno- or histochemically stained sections. Delineating cortical areas with distinct cytoarchitectonic features non-invasively based on diffusion propagators could transform our ability to study brain networks and diagnose subtle microstructural changes in many clinical applications. |
| 693 | Pitch: 14:59 Poster: 15:01 Plasma 23
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Quantitative validation of MRI mapping of cerebral venous oxygenation with direct blood sampling: a graded-O2 study in piglets |
| Dengrong Jiang1, Raymond C. Koehler2, Xiuyun Liu2, Ewa Kulikowicz2, Jennifer K. Lee2, Hanzhang Lu1,3,4, and Peiying Liu1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States |
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The neonatal brain relies primarily on oxygen metabolism to meet its enormous energy demands. Cerebral venous oxygenation (Yv) is an important parameter of the brain’s oxygen utilization, and has been demonstrated to be a potential biomarker in various neonatal diseases. We previously developed two non-invasive MRI techniques, TRUPC and accelerated-TRUPC, to measure Yv in the neonatal brain. In this work, we validated the accuracy of these two techniques by comparing their Yv measurements with gold-standard blood gas oximetry on a piglet model, and demonstrated that TRUPC and accelerated-TRUPC can provide accurate quantifications of Yv. |
| 694 | Pitch: 15:01 Poster: 15:03 Plasma 24
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Novel non-invasive determination of parasagittal dural volume and cerebrospinal fluid flux: assessment of glymphatic clearance mechanisms |
| Kilian Hett1, Colin D. McKnight2, Jarrod J. Eisma1, Jason Elenberger1, Ciaran M. Considine1, Daniel O. Claassen1, and Manus J. Donahue1,3 | ||
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Despite prior assumptions that the brain is devoid of lymphatic vessels, emerging evidence indicates that lymphatic vessels are present in the region alongside the superior sagittal sinus, the parasagittal dural (PSD) space, and could play a critical role in waste clearance or glymphatic physiology. However, limited methods are available for interrogating this space non-invasively in vivo. Here, in 62 healthy participants we apply novel deep learning algorithms in sequence with anatomical and phase contrast cerebrospinal fluid (CSF) flow assessments to test fundamental hypotheses regarding how PSD volume evolves across the lifespan and relates to measures of CSF flux and volume. |
| 695 | Pitch: 15:03 Poster: 15:05 Plasma 25
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Use of Double-Echo Steady-State (DESS) sequence in the evaluation of pudendal nerve- A pilot trial. |
| Joseph Kus 1, Shakthi Kumaran Ramasamy1, Brett Ploussard 1, Joyce Cara 2, Stacey Bennis3, Collen Fitzgerald 3, Steve Shea 1, Ari D Goldberg 1, Judy James 4, and Anugayathri Jawahar1 | ||
1Radiology, Loyola University Medical Center, Maywood, IL, United States, 2Biostatistics, Stritch School of Medicine, Maywood, IL, United States, 3Physical Medicine and Rehabilitation, Loyola University Medical Center, Maywood, IL, United States, 4Radiology and Nuclear Medicine, Loyola University Medical Center, Maywood, IL, United States |
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Pudendal neuralgia is a common cause of chronic pelvic pain, especially in females. This is caused by pudendal nerve entrapment and can be a severely disabling neuropathic pain syndrome. It is currently a clinical diagnosis and most of the time a diagnosis of exclusion without definitive imaging criteria. We retrospectively compared DESS with the routine T2, T1 and DWI described in literature for the evaluation of pudendal nerves in patients with unresolved pelvic pain. Our study showed that DESS is effective and better than T2 and DWI combined sequences for diagnosing pudendal neuropathy. |
| 696 | Pitch: 15:05 Poster: 15:07 Plasma 26
|
Optimization of dual flip angle T1 mapping at 7T with B1 transmit variability |
| Jyoti Mangal1,2, Sila Ayse Dokumaci1,2, David Leitao1,2, Raphael Tomi-Tricot1,2,3, Amer Ajanovic1,2, Stephen Ogier1,2, Tom Wilkinson1,2, Sharon Giles1,2, Pip Bridgen1,2, Claudia Prieto1, Joseph V Hajnal1,2, Shaihan Malik1,2, and David W Carmichael1,2 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2London Collaborative Ultra high field System (LoCUS), King’s College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Quantitative MRI at 7T has advantages of enhanced resolution and uniform tissue contrast however protocol optimisation can be challenging as B1(+) field variability is increased. We maximized the precision of T1 estimation for a dual flip angle SPGR acquisition using Cramer-Rao Lower Bound framework and validated the results using a Monte Carlo simulation and both phantom and in-vivo experiments. For a TR of 20ms, simulations suggested optimal flip angles of 4° and 26° similar to in-vivo results of 4° and 28°. By accounting for other parameters, the CRLB framework can be flexibly extended to optimize more complex mapping protocols. |
| 697 | Pitch: 15:07 Poster: 15:09 Plasma 27
|
Reproducibility of white matter microstructure mapping with diffusion-relaxometry |
| Santiago Coelho1, Filip Szczepankiewicz2, Jelle Veraart1, Sohae Chung1, Yvonne W. Lui1, Dmitry S. Novikov1, and Els Fieremans1 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University, School of Medicine, New York, NY, United States, 2Department of Diagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden |
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Joint modeling of diffusion and relaxometry in white matter is attractive due to its potential to provide unique insights into tissue integrity. We designed a diffusion MRI protocol containing varying b-values, b-tensor shapes, and echo times, employed machine learning parameter estimation, and studied the reproducibility of the Standard Model (SM) parameters. We quantified scan-rescan reproducibility in six healthy volunteers for compartmental water fractions, diffusivities, and $$$T_2$$$ relaxation times. We also found good agreement between SM parameters obtained from diffusion-only data at fixed echo time, and those from joint diffusion-relaxometry acquisitions, providing a consistency check for the SM assumptions. |
| 698 | Pitch: 15:09 Poster: 15:11 Plasma 28
|
Sensitivity of dMRI with TBSS analysis to WM pathology in SLE: influence of field strength, acquisition approach and post-processing strategy |
| Evgenios N. Kornaropoulos1,2, Stefan Winzeck2,3, Linda Knutsson4,5,6, Marta M. Correia7, Pia C. Sundgren1,8,9, and Markus Nilsson1 | ||
1Diagnostic Radiology, Lund University, Lund, Sweden, 2Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom, 3Computing, Imperial College London, London, United Kingdom, 4Lund University, Lund, Sweden, 5Johns Hopkins University, Baltimore, MD, United States, 6Kennedy Krieger Institute, Baltimore, MD, United States, 7MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom, 8Skane University Hospital, Lund, Sweden, 9BioImaging Center, Lund University, Lund, Sweden |
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We examined whether more advanced dMRI increase the sensitivity to white matter pathology in systemic lupus erythematosus. Specifically, we examined whether more advanced acquisitions (DKI versus DTI, 7T versus 3T) and more complex processing (e.g. denoising, Gibbs-ringing removal) provide increased sensitivity. Tract-based spatial statistical analysis was applied, and the fraction of significant voxels in the white matter skeleton was used as the sensitivity metric. Results showed that the choice of the acquisition protocol had a greater impact on sensitivity than the choice of the post-processing strategy. 3T-DTI was more sensitive than 3T-DKI and 7T-DTI, regardless of the applied post-processing pipeline. |
| 699 | Pitch: 15:11 Poster: 15:13 Plasma 29
|
Unsupervised Diffeomorphic Registration for Even and Odd Echo Images with Applications to Point-of-Care MRI Reconstruction |
| Jo Schlemper1, Neel Dey2, Seyed Sadegh Mohseni Salehi1, Kevin Sheth3, W. Taylor Kimberly4, Lorraine Cullen5, and Michal Sofka1 | ||
1Hyperfine, Guilford, CT, United States, 2New York University, New York City, NY, United States, 3Yale University, New Haven, CT, United States, 4Massachusetts General Hospital, Boston, MA, United States, 5Gaylord Specialty Healthcare, Wallingford, CT, United States |
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We present an unsupervised deep image registration framework for MR image reconstruction. Specifically, even and odd echo images from fast spin echo-based sequence are nonlinearly registered using a convolutional network that estimates the deformation field. The registered echo images are then averaged for noise reduction. The proposed framework was evaluated across four imaging contrasts (T1w, T2w, FLAIR, and DWI) from a low-field MR scanner and was found to outperform nonlinear registration from advanced normalization tools, yielding sharper image quality and preserving important pathology features. |
| 700 | 14:45
|
Measuring RF field-induced temperature variations in brain MRI exams with motion compensated MRT and field monitoring. |
| Caroline Le Ster1, Franck Mauconduit1, Christian Mirkes2, Alexandre Vignaud1, and Nicoal Boulant1 | ||
1Université Paris-Saclay, CNRS, BAOBAB, Neurospin, CEA, Gif-sur-Yvette, France, 2Skope MRT, Zurich, Switzerland |
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Sub-degree brain temperature rise occurring through RF power deposition during the MR exam was measured with MR thermometry at 7T using a multi-slice EPI sequence and concurrent field monitoring. This sequence was first tested in vitro with field perturbations, an optical probe being used for ground truth measurements, and the accuracy of the method reached 0.02°C. In vivo, this methodology was complemented by a motion compensation step and precision reached 0.05°C. After 20-min of scanning at maximal SAR, temperature rise induced by RF power deposition throughout the inner brain reached 0-0.2°C, well below the values predicted by thermal models. |
| 701 | 14:57
|
High-precision MR thermometry of RF heating in the upper thigh at 7T using a multi-echo water-fat separation model |
| Mathijs W. I. Kikken1, Bart R. Steensma2, Cornelis A. T. van den Berg2, and Alexander J. E. Raaijmakers1 | ||
1Biomedical Engineering - Medical Imaging Analysis, Eindhoven University of Technology, Eindhoven, Netherlands, 2Center for Image Sciences - Computational Imaging Group, University Medical Center Utrecht, Utrecht, Netherlands |
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A multi-echo MRT approach is presented for application in RF safety assessment and validation of thermal simulations. By water-fat separation, more accurate determination of the drift field is possible. The method was tested in the thigh at 7T, using multi-transmit coils. Precision and accuracy were improved considerably compared to a previous single-echo fat-referenced method (precision: 0.09 vs 0.19 °C). Comparison of measured temperature distributions to simulated counterparts show good relative agreement in three subjects for multiple RF shim settings. Strikingly, simulated heating magnitudes mostly underestimated the observed heating with varying extent, suggesting a role for subject-specific parameters, such as perfusion. |
| 702 | 15:09
|
Detection of Laser-Associated Heating in the Brain During Simultaneous BOLD-fMRI and Optogenetic Stimulation |
| Huiwen Luo1,2, Zhangyan Yang1,2, Pai-feng Yang2,3, Feng Wang2,3, Jamie L Reed2,3, Li Min Chen2,3, John C Gore1,2,3, and William A Grissom 1,2,3 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States |
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Optogenetic stimulation with BOLD-fMRI has been applied in studies of brain circuits, by selectively exciting optical fluorophores with wavelength-specific light. However, the light used for stimulation may induce non-negligible heating effects. Because BOLD fMRI is mainly based on relatively long TE gradient-recalled echo acquisitions that are also suitable for measuring temperature changes with the proton resonance frequency (PRF) shift, we can monitor simultaneously the neural effects and laser-associated heating. We proposed a processing pipeline to calculate temperatures from BOLD images based on PRF shift thermometry and detect small temperature rises induced by laser-associated heating with general linear modeling. |
| 703 | 15:21
|
Comparison of whole brain biophysical model predictions and MR thermometry measurements in healthy humans |
| Dongsuk Sung1, Benjamin B. Risk2, Peter A. Kottke3, Jason W. Allen1,4,5, Fadi Nahab5, Andrei G. Fedorov3,6, and Candace C. Fleischer1,4,6 | ||
1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, 2Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States, 3Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 4Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 5Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 6Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States |
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To advance our understanding of thermal dynamics in the human brain, a thermal modeling framework was previously developed to facilitate temperature predictions in the absence of clinical thermometry. Here, predicted brain temperatures using our fully conserved model were compared with MR thermometry in 21 healthy human subjects. Bland-Altman plots demonstrated agreement between predictions and MR-measurements for average temperature values, but some differences were observed at the lowest and highest temperatures. Regional variations were similar between predicted and measured temperatures. We anticipate our modeling framework will form the necessary baseline for predicting injury-induced brain temperature changes in patients. |
| 704 | 15:33
|
The first MR Electrical Properties Tomography (MR-EPT) reconstruction challenge |
| Stefano Mandija1,2 and Cornelis A.T. van den Berg1,2 | ||
1Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR Diagnostics and Therapy, UMC Utrecht, Utrecht, Netherlands |
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This work announces the initial design of the first Electrical Properties (EPs) reconstruction challenge and opens up the call for ideas to finalize its implementation and to define the organizing committee members. Several EPs reconstruction methods have been presented in the last decade. However, as emerged from the last EPs workshop (IMEP-Utrecht’19), testing on common data has not been performed yet, nor data are publicly available. The scope of this challenge is therefore to benchmark current reconstructions on the same data. These data will also be made available to favor benchmarking of new methods in the future. |
| 705
|
15:45
|
Feasibility study for conductivity reconstructions from spin-echo images using artificial neural network with simulation data in 3T MR system |
| Kyu-Jin Jung1, Stefano Mandija2,3, Jun-Hyung Kim1, Chuanjiang Cui1, Sanghyeok Choi1, Jaeuk Yi1, Mina Park4, Cornelis A.T. van den Berg2,3, and Dong-Hyun Kim1 | ||
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 3Computational Imaging Group for MR Diagnostics and Therapy, UMC Utrecht, Utrecht, Netherlands, 4Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of |
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Phase-based Electrical properties tomography is a non-invasive imaging technique that uses MRI systems to measure the tissue conductivity. However, the conductivity reconstruction process causes problems such as noise amplification and boundary artifact. To address such limitations, several DL-based reconstruction methods were proposed. Building upon these works, we propose an ANN-based conductivity reconstruction method trained only on simulation dataset. The proposed method was studied with the aim of: (a) approaching ground-truth conductivity values, (b) noise-robustness, (c) higher image resolution, (d) generalization to clinical data. The feasibility was investigated on simulations and TSE in-vivo data (one healthy volunteer, two meningioma cases). |
| 706 | 14:45
|
Design and Optimization of Transmit Arrays for MRI at 11.7T |
| Son Chu1, Vincent Gras2, Paul McElhinney1, Nicolas Boulant2, and Shajan Gunamony1 | ||
1Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom, 2University of Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif sur Yvette, France |
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The promise of supra-linear boost in signal-to-noise-ratio is driving the development of MRI at extremely high static field strengths, such as 10.5T and beyond. The shorter wavelengths in tissues at high Larmor frequency causes destructive interference of the electromagnetic field, resulting in image inhomogeneity and increased local specific absorption rate (SAR). An efficient transmit array is vital in this regime to optimally use the available RF power, achieve efficient excitation and operate within SAR constraints. This work presents the design and optimization of an 8-channel transmit array for MRI at 11.7T and its performance evaluation using RF pulse design simulations. |
| 707 | 14:57
|
A Compact 16Tx-32Rx Geometrically Decoupled Phased Array for 11.7T MRI |
| Michel Luong1, Guillaume Ferrand1, Edouard Chazel2, Paul-François Gapais2,3, Vincent Gras2, Nicolas Boulant2, and Alexis Amadon2 | ||
1CEA, IRFU, Université Paris-Saclay, Gif sur Yvette, France, 2Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif sur Yvette, France, 3Multiwave Imaging SAS, Marseille, France |
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A geometrically decoupled 16Tx-32Rx RF coil has been designed for the Iseult 11.7T project. It has 16 transceive resonators and 16 receive-only loops. This peculiar architecture satisfied three major concerns: compactness-made compatibility with a local B0 shim insert, easy tuning and performance prediction. Simulations show high flip angle homogeneity in the whole brain (NRMSE<6%) with kT-points, accounting for all constraints (pulse length, SAR, power budget). Predicted global SNR in phantom with SoS reconstruction is 2.47±0.2 times higher as compared to 7T (with the commercial 8Tx-32Rx Nova coil) or equivalently, the SNR scales as B0 to the power of 1.74±0.16. |
| 708 | 15:09
|
A novel 16-channel transmitter/32-channel receiver combined sleeve antenna and dipole array for the human whole brain imaging at 10.5 Tesla |
| Myung Kyun Woo1,2, Lance DelaBarre1, Matt Waks1, Russell Lagore1, Steve Jungst1, Andrea Grant1, Kamil Ugurbil1, and Gregor Adriany1 | ||
1Center for Magnetic Resonance Research, Minneapolis, MN, United States, 2Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of |
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For whole brain human head imaging at 10.5 Tesla, we interlaced a 16-channel sleeve antenna transceiver with a 16-channel asymmetric dipole antenna receiver for a combined, close fitting 16-channel transmit/32 -channel receiver array. Integration of high dielectric constant material (HDC) significantly improved receiver performance in the upper brain. Simulation results indicate excellent B1 efficiency and coverage of the combined array for the whole brain imaging at 447 MHz. To further improve array performance, we developed new on-coil transmit/receive (T/R) switches capable of preamplifier decoupling. We are now in the process of building this novel closefitting 32-channel array. |
| 709 | 15:21
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The Double Bent Dipole (DBD): A hybrid element designed for combined RF/B0 shimming for imaging at 10.5T |
| Alexander Bratch1,2, Jerahmie Radder2, Alireza Sadeghi-Tarakameh2, Gregor Adriany2, Kamil Ugurbil2, and Brian Rutt1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN, United States |
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In this work, we demonstrate a new double bent dipole geometry for use as a hybrid RF/B0 shimming element for 10.5T imaging, featuring two B0 shimming channels per RF channel. Initial simulations compare this element to standard dipoles and loops. Bench assessments and simulations further demonstrate excellent inter-element decoupling, and initial steps toward a 32-channel Tx/64-channel B0 array show promising results. |
| 710 | 15:33
|
Novel Dipole/Loop Combined Arrays for Human Whole Brain Imaging at 7 T |
| Nikolai I. Avdievich1, Anton V Nikulin1,2, Loreen Ruhm 1, Arthur W Magill 3, Anke Henning4, and Klaus Scheffler1,2 | ||
1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 3Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 4Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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The advancement of clinical applications of 7T MRI depends heavily on the development of new RF coil designs. Recent works based on Ultimate Intrinsic SNR theory demonstrated that an optimal central SNR at 7T requires combining surface loops with dipole antennas. In this work, we developed and evaluated two novel 32-element 7T human head loop/dipole array designs. Both coils demonstrated superior Tx-efficiency, longitudinal coverage, and SNR in comparison to widely used commercial array coil. While the transceiver (TxRx)-dipole/receive(Rx)-loop array demonstrated best SNR, the TxRx-loop/Rx-dipole array showed the best Tx-efficiency. In addition, double-row TxRx-loop/Rx-dipole array provides 3D RF shimming capability. |
| 711 | 15:45
|
Generalized approach of quadruple or quintuple-tuned RF coil setups for metabolic MRI throughout the body at 7 Tesla |
| Jiying Dai1,2, Ettore Flavio Meliadò1,2, Mark Gosselink1, Catalina Arteaga2, Alexander J. E. Raaijmakers1,3, and Dennis W. J. Klomp1 | ||
1UMC Utrecht, Utrecht, Netherlands, 2Tesla Dynamic Coils B.V., Zaltbommel, Netherlands, 3Technische Universiteit Eindhoven, Eindhoven, Netherlands |
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The 7T operating frequency of 1H and 19F RF transceivers is in far field regime, while for remaining nuclei these are in near-field regime. Consequently, the optimal setup for far field is based on antennas, while for near field these are based on loop coils. Owing to their intrinsic field orthogonality, these setups can be merged with low RF coupling and thus low penalty in efficiency as we demonstrated for a quintuple tuned head coil. Here we show that the design is generalized and can in principle be used for any body part, as demonstrated in brain, breast and extremity. |
| 712 | 15:57
|
An integrated 64-channel receive array design for 7 Tesla head and torso MRI of young infants |
| Jérémie Clément1, Joseph V Hajnal1,2, and Özlem Ipek1 | ||
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 |
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7T MRI has potential for adding value in studies of infant brain and heart. In this study we introduce the first integrated high channel count receive array designed to enable both head and torso imaging of young infants at 7T. The array performance was evaluated in terms of noise correlation matrix, signal-to-noise ratio, and spatial coverage. The initial results are promising with the array providing a large coverage of the targeted regions in phantom. After further safety checking, the next step will be to conduct in-vivo studies, paving the way for future high performance infant examinations at 7T. |
14:45
|
From Histological Validation to Histology-Inspired Microstructure Imaging | |
| Kurt Schilling | ||
| Vanderbilt University | ||
15:05
|
Realistic Digital Phantoms of White Matter & Their Application to Microstructure Imaging | |
| Cyril Poupon | ||
| CEA NeuroSpin, France | ||
15:25
|
Simulation of Complex Cell Morphology in the Grey Matter & its Application to Microstructure Imaging | |
| Andrada Ianus | ||
| Champalimaud Centre for the Unknown, Portugal | ||
15:45
|
Joint Modelling of Diffusion MRI & Microscopy | |
| Amy Howard | ||
| University of Oxford, UK, United Kingdom | ||
16:05
|
Linking Histology with Multi-Contrast MRI via Deep Learning | |
| Jiangyang Zhang | ||
| New York University, United States | ||
16:25
|
Live demos: Systems and Components |
14:45
|
Mapping MRI Value & Accessibility in Africa | |
| Farouk Dako | ||
| University of Pennsylvania | ||
15:25
|
Changing the Neuroimaging Landscape in Africa | |
| Andrew Webb | ||
| Leiden University Medical Center | ||
16:05
|
Enhancing Low-quality MRI for Epilepsy Diagnosis | |
| Matteo Figni | ||
| University College London | ||
17:00
|
Reimaging Science as a Social Movement: The GliMR Experience | |
| Esther Warnert1 | ||
1Erasmus Medical Centre, Netherlands |
17:30
|
The Role of Science Communication in Building Public Trust in Science | |
| David W Carmichael1 | ||
1King's College London, London, United Kingdom |
18:00
|
Sense About Science | |
| Mark Schweitzer1 | ||
1Wayne State School of Medicine, United States |
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To discuss the best ways to communicate to lay audiences often remotely and how to counter potential arguments and debates. |
18:30
|
Promoting Your Science Using Social Media | |
| Moss Zhao1 | ||
1Stanford University, Stanford, CA, United States |
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Effective communication plays an important role in disseminating scientific discoveries. Social media offers researchers unique opportunities to promote and foster collaborations. In this talk, the speaker will discuss (1) benefits and pitfalls of using social media in science communication, (2) ways to promote your science and cultivate your online presence, and (3) strategies to disseminate cutting-edge discoveries with members of the public. The speaker will demonstrate these topics using both research data and real world examples from YouTube and other platforms. After attending this talk, the participants will be able to create effective social media posts about their research. |
17:00
|
Hyperpolarization Methods: dDNP, SEOP, PHIP & Co | |
| Ilwoo Park1 | ||
1Chonnam National University Hospital, Korea, Republic of |
17:30
|
Hyperpolarized 13C Metabolic Imaging Acquisition Methods | |
| Jeremy Gordon1 | ||
1University of California, San Francisco, United States |
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Hyperpolarized 13C MRI has emerged as a novel non-invasive imaging technique to assess metabolism in-vivo. However, hyperpolarized contrast agents have unique properties that require specialized imaging methods. Data acquisition strategies must account for the lower 13C gyromagnetic ratio, encode spectroscopic information, and acquire dynamic and volumetric data quickly relative to metabolism and T1 relaxation. This talk will describe the state-of-the-art in fast imaging methods for hyperpolarized 13C MRI, including the tradeoffs between the three major categories of fast imaging methods - spectroscopic imaging, model-based strategies, and metabolite specific imaging – and will discuss the RF pulses that enable these acquisition strategies. |
18:00
|
Modelling Dynamic Metabolic Processes | |
| James A. Bankson1 | ||
1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Hyperpolarized (HP) imaging agents such as [1-13C]-pyruvate can provide unique insight into metabolic processes in vivo. The pharmacokinetics of HP imaging agents are affected by metabolic and other characteristics of the biological system. Signal evolution is also modified by spin-lattice relaxation and by excitation pulses that are necessary for sampling data. Pharmacokinetic (PK) models offer a framework for explaining signal evolution, quantifying metabolic characteristics, and optimizing data acquisition and analysis strategies. In this lecture, we will derive extensible PK models for HP imaging agents, review simplifying assumptions, and demonstrate their utility for optimizing acquisitions and reducing errors in quantification. |
18:30
|
Is 13C Ready for the Clinic? Consensus & Standardization | |
| Michael Ohliger1 | ||
1Radiology, University of California San Francisco |
| 713 | 17:00
|
A novel deep learning framework on brain functional networks for diagnosis of psychiatric diseases |
| Milad Mashhady Ali Poury 1, Ali Ameri 1, Saeed Masoudnia 2, Hosna Tavakoli2,3, Faezeh Ghasemi4,5, Reza Rostami6, and Mohammad-Reza Nazem-Zadeh2,7 | ||
1Department of Biomedical Engineering, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3cognitive neuroscience, Institute for Cognitive Science Studies, Tehran, Iran (Islamic Republic of), 4Medical Physics and Engineering, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Islamic Republic of), 5Research Center for Biomedical Technologies and Robotics, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 6Department of Psychology, University of Tehran, Tehran, Iran (Islamic Republic of), 7Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of) |
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We developed a predicting algorithm based on brain connectivity to quantify the altered brain regions in schizophrenia, bipolar, and attention deficit hyperactivity disorders, to help diagnose them using neuroimaging biomarkers. Functional connectivity was utilized to construct brain graphs, on which the node2vec framework was applied to produce the node embeddings. The concatenation of embeddings was used to derive the region feature vectors to feed support vector machine (SVM) classifiers. Also, we build a model to assist the diagnosis of disorders using a weighted voting ensemble. The achieved accuracy proved to outperform to the state-of-the-art models. |
| 714 | 17:12
|
Increased structural connectivity in high schizotypy: a possible protective mechanism against schizophrenia. |
| Eirini Messaritaki1, Sonya Foley1, Kali Barawi2, and Derek K Jones1 | ||
1Psychology, Cardiff University, Cardiff, United Kingdom, 2Medicine, Cardiff University, Cardiff, United Kingdom |
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This work explores the link between brain structural connectivity and schizotypy in healthy participants. We found evidence of higher structural connectivity in the sensorimotor network of high-schizotypy participants compared to those with low schizotypy. Weaker evidence was also found for alterations in the auditory, default-mode and visual networks. In contrast, no significant differences were found in the structural connectivity of the whole-brain or limbic networks. The higher connectivity possibly shields these participants from schizophrenia. Our results agree with the results of works proposing that deficiencies in the sensorimotor brain network should be investigated as possible causes for schizophrenia. |
| 715 | 17:24
|
Unravelling the serotonergic contribution to citalopram-induced changes in functional connectivity |
| Anouk Schrantee1 and Ottavia Dispasquale2 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands, 2Department of Neuroimaging, Institute of Psychiatry, King's College London, London, United Kingdom |
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While citalopram pharmacology has been extensively investigated and defined, the molecular mechanisms underlying brain functional response to this antidepressant are less well characterised. Therefore, we explored the functional response of the healthy brain to an acute citalopram challenge by enriching resting-state fMRI with molecular templates of serotonin neurotransmitters. We found that a high oral dose of citalopram induces significant alterations in 5-HT1A-enriched functional connectivity, and that serotonin transporter occupancy is linked with the interindividual functional response to citalopram in the SERT-related network. These findings set a new basis for a mechanistic understanding of the functional effects of citalopram in depression. |
| 716
|
17:36
|
Tracking developmental connectopathy in 22q11.2 deletion syndrome with cross-species fMRI |
| Filomena Grazia Alvino1, Silvia Gini1, Alberto Galbusera1, David Sastre1, Federico Rocchi1, Marco Pagani1, Caterina Montani1, Francesco Papaleo2, Massimo Pasqualetti1,3, Carrie Bearden4, and Alessandro Gozzi1 | ||
1Italian Institute of Technology, Rovereto (TN), Italy, 2Italian Institute of Technology, Genova, Italy, 3Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy, 4Department of Psychiatry and Biobehavioral Sciences and psychology Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, United States |
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22q11.2 Deletion Syndrome (22q11DS), a major risk factor schizophrenia and autism, is often associated with disrupted brain connectivity. However, the developmental and neural underpinnings of brain connectopathy in 22q11DS remain unclear. Using mouse fMRI, we found that 22q11DS-related dysconnectivity exhibits a stereotypical developmental trajectory, with widespread functional hyperconnectivity in pre-pubertal mice reverting to focal fronto-hippocampal hypoconnectivity in adulthood. Notably, juvenile hyperconnectivity, but not adult hypoconnectivity, was completely rescued by a GSK3β antagonist. Finally, guided by our mouse model data, we identified a similar developmental trajectory in 22q11DS patients, hence corroborating the translational validity of these findings. |
| 717 | 17:00
|
Frontal and Temporal Cortical Myelination Associations with Cognition Revealed by a Novel T1w/T2w-based Marker in Subjective Cognitive Decline |
| Yu Veronica Sui1, Arjun V Masurkar2,3,4, Karyn Marsh2, Barry Reisberg5, Thomas Wisniewski2,3,5,6, Henry Rusinek1,5, and Mariana Lazar1 | ||
1Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 3Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States, 4Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States, 5Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 6Department of Pathology, New York University Grossman School of Medicine, New York, NY, United States |
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Identifying early changes associated with Alzheimer’s Disease (AD) and separating pathological from normal brain aging is a key step in AD treatment development. It has been proposed that a neuropathological retrogenesis heralded by cortical demyelination underlies the behavioral retrogenesis characterizing AD. As one of the earliest behavioral manifestations of AD, subjective cognitive decline (SCD) is a major research target, however, few studies have discovered reliable neural correlates at this stage. Here, using a novel cortical profile approach, we examined the cortical gradient of T1w/T2w, a putative myelin marker, in SCD and healthy control participants and its association with cognition. |
| 718 | 17:12
|
Towards an MRI-based Prediction of Neurofibrillary Tangles |
| Khalid Saifullah1, Mahir Tazwar1, Arnold M. Evia2, Ashish A. Tamhane2, David A. Bennett2, Julie A Schneider2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States |
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The purpose of this work was to develop an MRI-based classifier of neurofibrillary tangles by combining ex-vivo MRI and detailed neuropathology in brain autopsies from a large number (N=878) of community-based older adults. The ex-vivo classifier was trained on volumetric, cortical thickness, subcortical shape, diffusion, and R2 measurements, as well as age and sex. The average AUC of the final classifier was 0.87. Future work will convert the ex-vivo classifier to in-vivo and test it in-vivo in independent cohorts of older adults. |
| 719
|
17:24
|
Examining cerebrovascular burden across the cognitive continuum in older adults with and without evidence of amyloidosis |
| Leonardo A Rivera-Rivera1, Karly A Cody1, Tobey A Betthauser1, Rebecca Koscik1, Erin Jonaitis 1, Robert Cadman1, Bruce Hermann1, Howard A Rowley1, Cynthia M Carlsson1, Nathaniel Chin1, Laura Eisenmenger1, Sterling C Johnson1, and Kevin M Johnson1 | ||
1University of Wisconsin, Madison, Madison, WI, United States |
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In this study we investigated cerebrovascular health and vascular contributions to cognitive impairment in the presence and absence of amyloidosis. We employed various neuroimaging techniques including 4D-Flow, multi-delay ASL, T2-FLAIR, and structural T1 for vascular and structural biomarkers. β-amyloid (Aβ) burden was determined from PET imaging data. Data supports the notion that vascular dysfunction occurs in the presence and absence of Aβ, albeit with differing manifestations leading to cognitive decline. |
| 720 | 17:36
|
Blood-brain barrier water exchange rate is associated with cognitive performance in mild cognitive impairment and early Alzheimer’s disease |
| Catherine A Morgan1,2,3, Xingfeng Shao4, Jane Govender2, Tabitha Manson5, Vinod Suresh5,6, Deidre Jansson7, Danny JJ Wang4, David L Thomas8,9, Lynette Tippett1,2, and Michael Dragunow7 | ||
1School of Psychology and Centre for Brain Research, University of Auckland, Auckland, New Zealand, 2Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand, Auckland, New Zealand, 3Centre for Advanced MRI, University of Auckland, Auckland, New Zealand, 4Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 5Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 6Department of Engineering Science, University of Auckland, Auckland, New Zealand, 7Department of Pharmacology and Centre for Brain Research, University of Auckland, Auckland, New Zealand, 8Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 9Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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Blood-brain barrier (BBB) dysfunction has been observed in multiple neurodegenerative conditions, including mild cognitive impairment (MCI) and Alzheimer’s disease (AD). However recent concerns on the repeated use of Gadolinium based contrast agents (GBCAs), prompted us to investigate alternative, non-invasive methods for measuring BBB health. Diffusion-prepared arterial spin labelling (DP-ASL) imaging was implemented at 3T to determine water exchange rates (Kw) in 55 participants, comprising MCI, early AD and control participants. We found Kw to be associated with cognitive performance, suggesting it may be a useful imaging biomarker of early AD pathology. |
| 721 | 17:48
|
Multimodal MRI-derived phenotypes in preclinical Alzheimer’s Disease: results from the EPAD cohort |
| Luigi Lorenzini1, Silvia Ingala1, Alle Meije Wink1, Joost PA Kuijer 1, Viktor Wottschel 1, Carole H Sudre2,3,4,5, Sven Haller6,7, José Luis Molinuevo 8,9,10,11, Juan Domingo Gispert 8,10,11,12, David M Cash3, David L Thomas 13, Sjoerd B Vos 4,13, Prados Ferran14,15,16, Jan Petr17, Robin Wolz18, Alessandro Palombit18, Adam J Schwarz 19, Gael Chételat 20, Pierre Payoux 21,22, Carol Di Perri23, Cyril Pernet 23, Giovanni Frisoni24,25, Nick C Fox 3, Craig Ritchie26, Joanna Wardlaw 23,27, Adam Waldman23,28, Frederik Barkhof1,29, and Henk JMM Mutsaerts 1,30 | ||
1Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands, Amsterdam, Netherlands, 2MRC unit for Lifelong Health and Ageing at UCL, London, UK, London, United Kingdom, 3Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK, London, United Kingdom, 4Centre for Medical Image Computing, University College London, London, UK, London, United Kingdom, 5School of Biomedical Engineering & Imaging Sciences, King’s College London, UK, London, United Kingdom, 6CIRD Centre d’Imagerie Rive Droite, Geneva, Switzerland, Geneva, Switzerland, 7Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden, Uppsala, Sweden, 8Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain, Barcelona, Spain, 9CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain, Madrid, Spain, 10IMIM (Hospital del Mar Medical Research Institute), Barcelona Spain, Barcelona, Spain, 11Universitat Pompeu Fabra, Barcelona, Spain, Barcelona, Spain, 12CIBER Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain, Madrid, Spain, 13Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology London, UK, London, United Kingdom, 14Nuclear Magnetic Resonance Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, United Kingdom, London, United Kingdom, 15Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London, London, United Kingdom, London, United Kingdom, 16e-Health Centre, Open University of Catalonia, Barcelona, Spain, Barcelona, United Kingdom, 17Helmholtz‐Zentrum Dresden‐Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany, Dresden, Germany, 18IXICO, London, UK, London, United Kingdom, 19Takeda Pharmaceuticals Ltd., Cambridge, MA, USA, Cambridge, ME, United States, 20Université de Normandie, Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, 14000 Caen, France, Caen, France, 21Department of Nuclear Medicine, Toulouse CHU, Purpan University Hospital, Toulouse, France, Toulouse, France, 22Toulouse NeuroImaging Center, University of Toulouse, INSERM, UPS, Toulouse, France, Toulouse, France, 23Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK, Edinburgh, Scotland, 24Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy, Brescia, Italy, 25University Hospitals and University of Geneva, Geneva, Switzerland, Geneva, Switzerland, 26Centre for Dementia Prevention, The University of Edinburgh, Scotland, UK, Edinburgh, Scotland, 27UK Dementia Research Institute at Edinburgh, University of Edinburgh, UK, Edinburgh, Scotland, 28Department of Medicine, Imperial College London, London, UK, London, United Kingdom, 29Institute of Neurology and Healthcare Engineering, University College London, London, UK, London, United Kingdom, 30Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium, Ghent, Belgium |
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Image-derived phenotypes (IDPs) from multimodal MRI sequences constitute an important resource that allows the characterization of brain alterations in the early stages of Alzheimer diseases and other neurodegenerative conditions. Here, we showed the computation of multimodal IDPs from the European Prevention of Alzheimer Dementia (EPAD) cohort and assessed their relationship with non-imaging markers of neurodegeneration. We demonstrated the clinical relevance of IDPs to uncover early brain alteration in AD by showing expected association with non-imaging data. |
| 722
|
18:00
|
Hippocampal Subfield Property Differences in Amnestic Mild Cognitive Impairment Measured with MR Elastography |
| Peyton L Delgorio1, Lucy V Hiscox2, Grace McIlvain1, Alexis A Merritt1, Alexa M Diano1, Mary K Kramer1, Kyra E Twohy1, James M Ellison3, Alyssa Lanzi1, Matthew L Cohen1, Christopher R Martens1, and Curtis L Johnson1 | ||
1University of Delaware, Newark, DE, United States, 2University of Bath, Bath, United Kingdom, 3ChristianaCare Health System, Newark, DE, United States |
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The aim of this study was to determine whether magnetic resonance elastography (MRE) could sensitively detect mechanical property alterations in the hippocampal subfields due to amnestic mild cognitive impairment (aMCI) - a prodromal stage of Alzheimer’s disease (AD). Results show that entorhinal cortex viscoelasticity was significantly lower in aMCI participants. Further, the entorhinal cortex did not display significant volume differences due to aMCI, which demonstrates how MRE may yield more information about the health of a region known to harbor AD pathology. These results suggest that hippocampal subfield MRE measures show potential for use as an imaging biomarker of disease. |
| 723
|
17:00
|
Development of MRI-based 3D Radiomics Signatures for Preoperative Risk Stratification of Patients with Histology-proven Endometrial Cancer |
| Thierry L. Lefebvre1,2, Yoshiko Ueno3,4, Anthony Dohan5,6, Avishek Chatterjee1,7, Martin Vallières1,8, Eric Winter-Reinhold9, Sameh Saif3, Ives R. Levesque1,10, Xing Ziggy Zeng11, Reza Forghani3,9, Jan Seuntjens1, Philippe Soyer5,6, Peter Savadjiev3,12, and Caroline Reinhold3,9 | ||
1Medical Physics Unit, McGill University, Montreal, QC, Canada, 2Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 3Department of Diagnostic Radiology, McGill University, Montreal, QC, Canada, 4Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 5Department of Radiology, Cochin Hospital, AP-HP.Centre, Paris, France, 6Faculté de Médecine, Université de Paris, Paris, France, 7Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands, 8Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada, 9Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, QC, Canada, 10Research Institute of McGill University Health Centre, Montreal, QC, Canada, 11Department of Obstetrics and Gynecology, McGill University Health Centre, Montreal, QC, Canada, 12School of Computer Science, McGill University, Montreal, QC, Canada |
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Radiomics analysis on standard MRI prior to surgery holds potential to help identifying high-risk histopathological features of endometrial carcinoma, including FIGO stage, deep myometrial invasion, lymphovascular space invasion and tumor grade, thus supporting preoperative risk stratification for optimal patient management. This dual-center retrospective study evaluated the role of radiomics to assess high-risk phenotypes of endometrial cancer in women who underwent 1.5-T MRI before hysterectomy. Radiomics-based machine learning models provided consistent clinically acceptable performance for differentiating early from advanced FIGO stage endometrial carcinoma and for differentiating low- from high-risk histopathological markers in two independent datasets from different institutions on preoperative MRI. |
| 724 | 17:12
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Evaluation of Her-2 gene expression in endometrial carcinoma by APTw and mDIXON-Quant |
| Changjun Ma1, Shifeng Tian2, Lihua Chen2, Nan Wang2, Qingwei Song2, Xiaoxiao Zhang3, and Ailian Liu2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian,China, China, 2Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China, Beijing, China |
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Overexpression in malignant tumors such as ovarian cancer, endometrial carcinoma (EC), etc., can cause abnormal cell proliferation and lead to malignant transformation and is related to tumor angiogenesis and tumor metastasis. This study revealed that amide proton transfer weighted (APTw) and mDIXON-Quant would be useful to evaluate the expression of Her-2 gene in EC. |
| 725 | 17:24
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Visualizing oxygen transport in real time in the murine placenta at 15.2T |
| Talia Harris1, Michal Neeman2, and Lucio Frydman3 | ||
1Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel, 23Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel, 3Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel |
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We demonstrate that with the high signal to noise and sensitivity to oxygenation at 15.2 T we can visualize the transport of oxygen across the murine placenta with temporal resolution of 20s. Changes in the R2* of the placenta and embryo heart, observed upon switching from 100% O2 to 10% and switching back to 100% O2, exhibit different dynamic behavior than the maternal blood vessels, specifically a delayed response compared to the maternal blood vessels and a much slower response when switching from 10% O2 to 100% O2. |
| 726
|
17:36
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Maternal Blood Volume Measurements of Human Placenta with Fetal Growth Restriction using Ferumoxytol-Enhanced MRI |
| Ruiming Chen1, Sean B. Fain1,2, Ronald R. Magness3, Kathleen M. Antony4,5,6, J. Igor Iruretagoyena4, Ian M. Bird4, Dinesh M. Shah4, Oliver Wieben1,2,7, and Kevin M. Johnson1,7 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 3Obstetrics & Gynecology, University of South Florida, Tampa, FL, United States, 4Obstetrics & Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 5Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, United States, 6Wisconsin National Primate Research Center, University of Wisconsin - Madison, Madison, WI, United States, 7Radiology, University of Wisconsin - Madison, Madison, WI, United States |
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Fetal growth restriction (FGR) has been associated with insufficient development of utero-placental vasculature, which could be identified using maternal placental blood volume measurements. This preliminary study uses ferumoxytol-enhanced MRI to measure placental blood volume of three FGR subjects using variable flip angle T1-mapping. Mean values of maternal fractional, placental, and total blood volumes are reported, as well as changes in placental R1 values between two time points after contrast injection. We observe local placental heterogeneities, including regions with low factional blood volume in the subjects. |
| 727 | 17:48
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Quantifying Placental Structure and Function over Gestation with Combined T2*-diffusion MRI |
| Paddy J. Slator1, Jana Hutter2,3, Laurence H. Jackson2,3, Alison Ho4, Lisa Story4, Lucy C. Chappell4, Mary Rutherford2, Joseph V. Hajnal2,3, and Daniel C. 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, 4Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom |
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We quantify placental structure and function over gestation with combined diffusion-relaxometry MRI. We apply a simultaneous T2*-diffusion acquisition protocol to a cohort of 65 pregnant participants, and hence estimate T2* and ADC maps, T2*-ADC spectra, and map T2*-ADC spectrum components with a data-driven technique, InSpect. We show InSpect is more sensitive to placental maturation than separate T2* and ADC mapping alone. |
| 728 | 18:00
|
Automatic Segmentation of Twin Regions in Mo-Di Placentae Based on Geometric Analysis of Spatiotemporal BOLD MRI Signals |
| Tal Shnitzer1, S. Mazdak Abulnaga1, Carolina Bibbo2, P. Ellen Grant3, Polina Golland1, Justin Solomon1, and Esra Abaci Turk3 | ||
1Computer Science and Artificial Intelligence Laboratory, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Maternal and Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 3Fetal-Neonatal Neuroiaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States |
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We propose an automatic segmentation method for delineating functional regions of the placenta responsible for each twin in Mo-Di placentae. The study of differences in MRI biomarkers between identical twins promises to elucidate placental function and fetal development. We combine temporal information from BOLD MRI time series and spatial information from the umbilical cord insertion in a flattened placenta representation. We demonstrate alignment of the automatic segmentation results with expert manual delineations and subsequent agreement of dynamic MRI signals in the identified regions with those derived from expert segmentations. Our method enables automatic localized analysis of the placenta. |
| 729
|
18:12
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Quantifying Fetal Vertebral Body Calcium Changes Using Quantitative Susceptibility Mapping |
| Kiarash Ghassaban1,2, Cong Sun3, Guangbin Wang3,4, and Ewart Mark Haacke1,2 | ||
1Department of Radiology, Wayne State University, Detroit, MI, United States, 2SpinTech Inc., Bingham Farms, MI, United States, 3Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China, 4Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China |
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In vivo fetal vertebral calcium content was quantified using local quantitative susceptibility mapping (QSM) collected as part of a STAGE double flip angle (FA) protocol. A strong decreasing average vertebral susceptibility as a function of gestational age was seen in 54 normal fetuses including 37 cases with QSM data available at both FA’s and 17 cases with QSM at one FA totaling 91 independent datasets. An almost one-to-one linear correlation was seen between the QSM values from both FA’s. These results provide strong evidence of an in vivo MR-based quantitative technique to measure calcium development pre-term. |
| 730 | 17:00
|
Myocarditis associated with mRNA COVID-19 vaccines: MRI findings |
| Jitka Starekova1, David A Bluemke1,2, William S Bradham1,3, Thomas M Grist1,2,4, Mark L Schiebler1, and Scott B Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Medicine, 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 |
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Mass immunization campaigns continue in attempts to contain the ongoing COVID-19 pandemic. COVID-19 vaccines authorized for use in the United States include BNT162b2 (Pfizer-BioNTech), mRNA-1273 (Moderna), and JNJ-78436735 (Johnson & Johnson). To date multiple cases of vaccine-associated inflammation of the heart have been reported. In this work, we describe cardiac MRI findings in 9 patients (adults and children) with clinical and imaging-based diagnosis of myocarditis and/or pericarditis diagnosed shortly after COVID-19 mRNA vaccination at our institution.
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| 731 | 17:12
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Myocardial Metabolic Changes Detected Post-COVID-19 with Hyperpolarized Pyruvate |
| Vlad G Zaha1, Junjie Ma1, Jae Mo Park1, Munes Fares1, Nicholas Hendren1, Spencer Carter1, Anjali Rao1, Ravi Vamsee1, Madhusudan Ganigara1, Mohamed Nagiub1, Mohammad Tarique Hussain1, Ricardo La Hoz1, James Cutrell1, Pradeep Mammen1, Mark Drazner1, James de Lemos1, Craig Malloy1, and Justin Grodin1 | ||
1University of Texas Southwestern Medical Center, Dallas, TX, United States |
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Noninvasive detection of myocardial inflammation can be challenging. Up to 73% of patients recovered from COVID-19 had increased native T1 on cardiac MRI1 representing inflammation or edema. Therefore, we tested whether hyperpolarized (HP) [1-13C]pyruvate detectis post-COVID-19 inflammation in the myocardium. HP [1-13C]lactate has been suggested as a surrogate imaging marker of inflammation in the heart2,3, attributed to increased glycolytic activity in infiltrating white cells plus a possible increase in activity of lactate dehydrogenase. We demonstrate the feasibility of imaging with HP [1-13C]pyruvate as noninvasive method to detect metabolic changes that may identify cardiac inflammation in the convalescent stage after COVID-19. |
| 732 | 17:24
|
Persistent anosmia following COVID-19 results in significant connectivity differences within olfactory regions: a resting state fMRI analysis |
| Jed Wingrove1,2, Janine Makaronidis1,2, Ferran Prados2,3,4, Baris Kanber2,3,4, Marios C Yiannakas3, Gloria Castellazzi3,5,6, Claudia AM Gandini Wheeler-Kingshott3,7,8, and Rachel Batterham1,2 | ||
1Centre for Obesity Research, University College London, London, United Kingdom, 2Biomedical Research Centre at UCLH and UCL, National Institute for Health Research, London, United Kingdom, 3NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 4Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 6IRCCS C., Mondino Foundation, Pavia, Italy, 7Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy |
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Anosmia or loss of smell is a common COVID-19 symptom. We studied a group of individuals with persistent anosmia and those who had recovered olfactory function following COVID-19 infection as well as healthy volunteers. Using resting state EPI and seed based analysis we found significant differences in connectivity between olfactory nodes and prefrontal regions known to be involved in smell processing. Furthermore, our analysis also identified connectivity differences between olfactory regions and brain areas involved in appetite control, highlighting areas of the brain that may be affected by COVID-19 related anosmia. |
| 733 | 17:36
|
Abnormal Brain Activation in Post-acute Sequelae of COVID-19 |
| Linda Chang1,2,3, Meghann C. Ryan4, Huajun Liang1, Xin Zhang1, Eric Cunningham1, Eleanor Wilson5, Andrea Levine6, Shyamasundaran Kottilil5, and Thomas M. Ernst1,2 | ||
1Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Neurology, University of Maryland School of Medicine, Baltimore, MD, United States, 4Program in Neuroscience, University of Maryland School of Medicine, Baltimore, MD, United States, 5Medicine, Division of Infectious Disease, University of Maryland School of Medicine, Baltimore, MD, United States, 6Medicine, Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, United States |
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Post-acute sequelae of COVID-19 is highly prevalent after the acute infection. Neuropsychiatric symptoms are particularly common; however, the pathophysiology of how the brain is affected remains unclear. This study aimed to evaluate whether convalescent COVID-19 participants have abnormal brain activation that is related to quantitative neurobehavioral measures. 21 COVID-19 participants and 20 healthy controls were evaluated with the NIH-Toolbox® and blood-oxygenation level dependent-functional MRI (BOLD-fMRI), using the N-back tasks. Despite similar performance on the NIH-Toolbox-cognitive battery, COVID-19 participants had greater brain activation than controls in the precuneus and dorsal anterior cingulate cortex, which also predicted poorer dexterity, endurance, and locomotion. |
| 734 | 17:48
|
Neuroimaging Findings & Neurological Symptoms in COVID-19 Patients with & without Cancer: A Retrospective Multi-Center Observational Study |
| Lily McCarthy1, Oleksandr Khegai2, Jonathan Goldstein3, Puneet Belani4, Puneet Pawha4, Shingo Kihira4, Brian Mathew3, Kapil Gururangan3, Qing Hao3, Anuradha Singh3, Allison Navis3, Bradley Delman4, Nathalie Jette3, and Priti Balchandani2 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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COVID-19 is known to result in neurological manifestations which sometimes correlate with neuroimaging abnormalities. Understanding these abnormalities requires further systematic study. We undertook a retrospective analysis of 60 MRIs from hospitalized COVID-19 patients (20 intubated, 20 non-brain cancer, and 20 non-intubated/non-cancer) with neurological manifestations. Neuroimaging showed non-infarct parenchymal T2/FLAIR signal hyperintensities (26.7%), acute/subacute infarcts (25%), microhemorrhages (21.7%), chronic infarcts (18.3%), chronic macrohemorrhages (10%), and acute macrohemorrhages (6.7%). Common neurological symptoms were confusion/encephalopathy/delirium (70%), generalized weakness (38.3%), and impaired responsiveness/coma (38.3%). Thus, COVID-19 may be associated with neuroimaging abnormalities. Differences in abnormalities were seen based on permutations of cancer and intubation. |
| 735 | 18:12
|
Lung perfusion disturbances detected with MRI in non-hospitalized post-COVID individuals with dyspnea, with sex difference. |
| Jimmy Zhou Yu1,2, Tobias Granberg2,3, Roya Shams2, Sven Petersson2, Adrian Szum2, Magnus Sköld4, Sven Nyrén1,2, and Johan Lundberg2,3 | ||
1Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm Solna, Sweden, 2Radiology department, Karolinska University Hospital, Stockholm, Sweden, 3Department of Neuroscience, Karolinska Institutet, Stockholm Solna, Sweden, 4Department of Medicine, Karolinska Institutet, Stockholm Solna, Sweden |
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Mechanisms underlying dyspnea in non-hospitalized patients with persistent post-COVID is unknown. Lung perfusion abnormalities have been reported in acute COVID-19, and may also be important in post-COVID. Dynamic contrast enhanced (DCE)-MRI [MS1] was applied to study lung perfusion in 28 non-hospitalized patients with persistent dyspnea 4-13 months post-COVID. Time-to-peak (TTP)[MS2] maps were numerically summarized as normalized as 2 numeric values: mean TTP and TTP ratio. Comparison was made against 22 age and sex matched controls. Perfusion abnormalities were found, with a striking sex difference with men showing more pronounced perfusion abnormalities. Perfusion abnormalities correlated with self-rated dyspnea in men. |
| 736
|
18:24
|
Multinuclear lung MRI assessment of COVID-19 patients at 6 and 12 weeks after hospital admission |
| Laura C. Saunders1, Guilhem J. Collier1, Ho-Fung Chan1, Paul J. C. Hughes1, Laurie J. Smith1, Helen Marshall1, James A. Eaden1, Jody Bray1, David J. Capener1, Leanne Armstrong1, Jennifer Rodgers1, Martin Brook1, Alberto M. Biancardi1, James Watson2, Zoë Gabriel2, Madhwesha R. Rao1, Graham Norquay1, Oliver Rodgers1, Fred Wilson3, Tony Cahn3, Andy Swift1, Smitha Rajaram2, Fergus Gleeson4,5, James T. Grist5, Gary H. Mills2,6, James Meiring2, Lisa Watson2, Paul J. Collini6, Rod Lawson2, Roger Thompson1, and Jim M. Wild1 | ||
1Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Sheffield Teaching Hospitals, Sheffield, United Kingdom, 3GlaxoSmithKline, Stevenage, United Kingdom, 4Oxford NHS Foundation Trust, Oxford, United Kingdom, 5University of Oxford, Oxford, United Kingdom, 6University of Sheffield, Sheffield, United Kingdom |
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This work uses a multinuclear 1H and 129Xe protocol to assess pathophysiological changes in patients with COVID-19 pneumonia, without signs of interstitial lung disease, at 6 and 12 weeks after hospital admission. 1H and 129Xe protocol: ultra-short echo time, dynamic contrast enhanced lung perfusion, 129Xe lung ventilation, 129Xe diffusion weighted MRI, 129Xe 3D spectroscopic imaging. Though significant improvements in lung ventilation homogeneity (decreased low ventilation percentage and ventilation coefficient of variation), gas transfer (increased RBC:TP, decreased TP T2*) and perfusion (increased pulmonary blood volume and flow) were seen between 6 and 12 weeks, low RBC:TP ratio persisted for some patients. |
| 737 | Pitch: 17:00 Poster: 17:02 Plasma 1
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Optimisation of Structural MR Imaging Sequences in a Neonatal Cohort at 64 mT |
| Paul Cawley1,2, Francesco Padormo1,3, UNITY Consortium4, Louise Dillon1, Emer Hughes1, Jennifer Almalbis1, Joanna Robinson1,2, Alessandra Maggioni1,2, Daniel Cromb1,2, Lori Arlinghaus5, Houchun Harry Hu5, Steve Williams4, Serena Counsell1, Tomoki Arichi1, Mary Rutherford1, Joseph V. Hajnal1, and A. David Edwards1,2 | ||
1Centre for the Developing Brain, King's College London, London, United Kingdom, 2Neonatal Intensive Care Unit, Guy's & St Thomas' Hospital NHS Foundation Trust, London, United Kingdom, 3Medical Physics, Guy's & St Thomas' Hospital NHS Foundation Trust, London, United Kingdom, 4Centre for Neuroimaging Sciences, King's College London, London, United Kingdom, 5Hyperfine, Inc., Guildford, CT, United States |
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Point-of-care Magnetic Resonance scanning is a novel and potentially transformative technology, utilising Ultra-Low Field permanent magnets to facilitate bedside neuroimaging. Through iterative T2w sequence optimisation, we demonstrate the feasibility of using ultra-low field portable 64mT MR scanning in neonates. This pilot data demonstrates that images can provide sufficient contrast for tissue differentiation and identify pathological lesions. Scanning with ongoing intensive care was both feasible and safe. |
| 738 | Pitch: 17:02 Poster: 17:04 Plasma 2
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Vital Signs, Temperature and COMFORT Scale Scores in Infants During Ultra-High-Field MR Imaging. |
| Inge van Ooijen1,2, Kim Annink1, Jeroen Dudink1, Thomas Alderliesten1, Floris Groenendaal1, Maria Luisa Tataranno1, Maarten Lequin2, Hans Hoogduin2, Frederik Visser2, Alexander Raaijmakers2,3, Dennis Klomp2, Evita Wiegers2, Manon Benders1, Jannie Wijnen2, and Niek van der Aa1 | ||
1Department of Neonatology, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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7T MRI in infants could improve cerebral diagnostic quality, but safety should be evaluated before standard use. In this study, twenty infants without respiratory support between term-equivalent age and 3 months corrected age, were scanned on 7T directly after 3T MRI. Vital signs (heart rate, oxygen saturation and respiratory rate), temperature (rectal, body and brain), COMFORT scale scores and adverse events were monitored throughout the process. None of these parameters changed around 7T MRI. Also, heart rate and temperature were not significantly different during 7T, when compared to 3T MRI. Therefore scanning infants at 7T appears to be safe. |
| 739 | Pitch: 17:04 Poster: 17:06 Plasma 3
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Automatic Assessment of Fetal Gestational Age using Bayesian Deep learning Method |
| Axel Largent1, Jonathan Murnick1,2, Yuan-Chiao Lu1, Kushal Kapse1, Nicole Andersen1, Todd Richmann1, Josepheen De Asis-Cruz1, Jessica Quistorff1, Catherine Lopez1, Nickie Andescavage1,3, and Catherine Limperopoulos1,2,4 | ||
1Department of Diagnostic Imaging and Radiology, Children’s National Hospital, Developing Brain Institute, Washington, DC, United States, 2Departments of Radiology and Pediatrics, George Washington University, Washington, DC, United States, 3Department of Neonatology, Children's National Hospital, Washington, DC, United States, 4Neurology School of Medicine and Health Sciences, George Washington University, 20010, DC, United States |
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Monitoring fetal brain development is crucial for early diagnosis of brain malformations and other congenital disorders. Standard methods to monitor brain maturation are mainly based on subjective and time-consuming visual analysis of the progression of sulcation. Our study proposed a Bayesian deep-learning method (DLM) for automatic assessment of fetal-gestational age (GA), and accurate and efficient identification of fetuses with abnormal brain development. Our Bayesian DLM showed excellent performance in predicted GA (mean-absolute-error = 0.928 weeks) and compared favorably with other state-of-the-art methods. This method may be used in clinical practice for monitoring fetal-brain development and early diagnosis of fetal brain malformations. |
| 740 | Pitch: 17:06 Poster: 17:08 Plasma 4
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Improved acquisition efficiency in T2-weighted fetal MRI with optimized variable flip angles and prospective wave-encoding |
| Yamin Arefeen1, Borjan Gagoski2,3, Berkin Bilgic4,5, Ellen Grant2,3, and Elfar Adalsteinsson1,6,7 | ||
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States, 6Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 7Institute 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 motion robust imaging. However, specific-absorption-rate (SAR) constraints from the refocusing pulse train lengthens scan time and increases vulnerability to motion-induced artifacts. Variable refocusing flip angle (VFA) acquisitions improve efficiency, but may suffer from poor contrast-to-noise-ratios (CNR). We propose an optimization technique for VFA that retains ~90% CNR with 2.5x SAR reduction. Furthermore, we demonstrate the first application of wave-encoding in fetal MRI at Rin-plane = 3-fold prospectively under-sampled acquisitions. Combining HASTE, VFA, and wave-encoding improves acquisition time with reduced repetition times and shorter echo-trains and could enable simultaneous-multislice acquisitions for further acceleration. |
| 741 | Pitch: 17:08 Poster: 17:10 Plasma 5
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Regional assessment of cerebral oxygen extraction fraction in neonates with hypoxic-ischemic-encephalopathy: a pilot study |
| Dengrong Jiang1, W. Christopher Golden2, Aylin Tekes1, Charlamaine Parkinson2, Bruno Soares1, Avner Meoded1, Hanzhang Lu1,3,4, Frances Northington2, and Peiying Liu1,5 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 5Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States |
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Hypoxic-ischemic-encephalopathy (HIE) is the leading cause of neonatal mortality and severe neurological impairment in childhood. Quantification of cerebral oxygen-extraction-fraction (OEF) in neonates with HIE may provide valuable information to guide the treatment and predict clinical outcome. In this pilot study, we used a novel MRI technique, accelerated-T2-relaxation-under-phase-contrast (aTRUPC), to measure regional OEF in neonates with HIE. We demonstrated a trend towards lower cortical OEF in HIE neonates compared to healthy controls. In addition, neonates with severer brain injury had lower cortical OEF. These findings suggest that regional OEF measurement may be useful in evaluating cerebral injuries in HIE. |
| 742 | Pitch: 17:10 Poster: 17:12 Plasma 6
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The effects of preterm birth on GABA+, Glx and GSH in the neonatal brain |
| Maria Yanez Lopez1, Anthony N Price1, Nicolaas AJ Puts2, Emer J Hughes1, Richard AE Edden3, Grainne M McAlonan2, Tomoki Arichi1, and Enrico De Vita4 | ||
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 2Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK, London, United Kingdom |
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We have performed the first simultaneous measurement of GABA+, Glx and GSH in the preterm brain. Our main findings show that GABA+ and Glx significantly increased with postmenstrual age in preterm neonates during the 31-45 week period. We additionally found that metabolites underpinning glutamate and GABA neurotransmission levels in preterm babies were significantly lower than normative neonatal values, even when measured at the term time equivalent timepoint. We also identified higher GABA+ and Glx in the thalamus compared with the cortex. Our findings provide further support for the application of edited MRS in neurodevelopment. |
| 743 | Pitch: 17:12 Poster: 17:14 Plasma 7
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A biphasic pattern of cerebral blood flow increases during infancy revealed with 3D multi-shot, stack-of-spirals pCASL and phase-contrast MRI |
| Minhui Ouyang1,2, John Detre3, Jessica L Hyland1, Kay Laura Sindabizera1, Yun Peng4, J. Christopher Edgar1,2, and Hao Huang1,2 | ||
1Department of Radiology, 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 Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Radiology, Beijing Children’s Hospital, Capital Medical University, Beijing, China |
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Infancy is one of the most prominent times of daily energy expenditure across the lifespan. Here, using cutting-edge pCASL with high-resolution at isotropic 2.5mm and phase-contrast MRI, we delineated the developmental trajectory of the infant’s global and regional cerebral blood flow (rCBF) supporting the metabolic needs for brain development in 0-28months. Significant age-related CBF increases during infancy were better modeled with biphasic linear models, with break-point ages observed earlier in sensorimotor and auditory cortices and later in association cortices. The established population-averaged rCBF maps across infancy can serve as normative rCBF atlases for neuroscientific research or clinical care. |
| 744 | Pitch: 17:14 Poster: 17:16 Plasma 8
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Improved geometric fidelity in brain DWI of pediatric patients using Multiplexed Sensitivity Encoding (MUSE) |
| Jens Krister Johansson1, Kerstin Lagerstrand2,3, Liz Ivarsson4, Pär-Arne Svensson4, Hanna Hebelka1,4, and Stephan Maier1,5 | ||
1Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Medical radiation sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 3Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden., Gothenburg, Sweden, 4Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden., Gothneburg, Sweden, 5Department of Radiology,, Brigham and Women's Hospital, Boston, MA, United States, Boston, MA, United States |
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This study demonstrates that DWI with MUSE and RPG correction significantly reduces the geometric distortions and results in increased overall image quality without altering ADC in a pediatric patient population, compared to single-shot EPI. This improvement was confirmed both through quantitative and qualitative analysis. |
| 745 | Pitch: 17:16 Poster: 17:18 Plasma 9
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Prediction of survival in paediatric brain tumour patients using multicentre leakage-corrected perfusion MRI |
| Stephanie Withey1,2,3, Lesley MacPherson4, Adam Oates4, Stephen Powell3, Jan Novak2,3,5, Laurence Abernethy6, Barry Pizer7, Richard Grundy8, Paul S. Morgan8,9,10, Simon Bailey11, Dipayan Mitra12, Theodoros N. Arvanitis2,13, Dorothee P. Auer10,14,15, Shivaram Avula6, and Andrew C. Peet2,3 | ||
1RRPPS, University of Birmingham NHS Foundation Trust, Birmingham, United Kingdom, 2Oncology, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom, 3Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 4Radiology, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom, 5Department of Psychology, Aston University, Birmingham, United Kingdom, 6Radiology, Alder Hey Children’s NHS Foundation Trust, Liverpool, United Kingdom, 7Oncology, Alder Hey Children’s NHS Foundation Trust, Liverpool, United Kingdom, 8The Children’s Brain Tumour Research Centre, University of Nottingham, Nottingham, United Kingdom, 9Medical Physics, Nottingham University Hospitals, Nottingham, United Kingdom, 10Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom, 11Sir James Spence Institute of Child Health, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom, 12Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom, 13Institute of Digital Healthcare, University of Warwick, Coventry, United Kingdom, 14Nottingham University Hospitals Trust, Neuroradiology, Nottingham, United Kingdom, 15NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom |
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Dynamic susceptibility (DSC-) MRI provides measures of relative cerebral blood volume (rCBV) in paediatric brain tumours. Correction of rCBV for the effects of contrast agent leakage can be done using post-processing techniques. Eighty-five patients with a range of paediatric brain tumours underwent DSC-MRI scans at 4 centres using variable protocols. Leakage-corrected and uncorrected DSC-MRI parameters were calculated and patients were followed up. Median DSC-MRI parameters significantly predicted overall survival. |
| 746 | Pitch: 17:18 Poster: 17:20 Plasma 10
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Virtual Reality Patient Training for Magnetic Resonance Imaging |
| Alexandra G. O'Neill1, Brian A. Hargreaves2, Karla Epperson2, Bruce L. Daniel2, and Christoph Leuze2 | ||
1Mathematics, Manhattan College, Riverdale, NY, United States, 2Radiology, Stanford University, Stanford, CA, United States |
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For many patients, particularly pediatric patients, MRI exams can be intimidating primarily due to the confined space and loud noises. This can result in failed, non-diagnostic, or degraded exams at cost and even risk to the patient. We present a virtual reality application for mobile devices, such as mobile phones, of a Magnetic Resonance Imaging simulation and training software to serve as a tool for medical professionals to prepare children for MRI scans. Initial evaluations show promising results for reducing movement in test subjects and potential for reducing worry or anxiety among individuals preparing for MRI. |
| 747 | Pitch: 17:20 Poster: 17:22 Plasma 11
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What do children need to learn for an MRI-scan? Gamification of learning goals into the cosmo@home app |
| Sam Geuens1, Sanne Nauts2, Anas Abdelrazeq3, Michael Aertsen1, Gunnar Buyse1, Philippe Demaerel1, Jurgen Lemiere1, Jessica Nijs1, Greet Pauwels4, Marlies Potoms5, Saini Privender2, Kate Sauer4, Marie Sjölinger 6, Olov Ståhl6, Marlies Treunen7, Sofie Van Cauter8,9, Leen Wouters8,9, and Barbara Weyn7 | ||
1University Hospitals Leuven, KU Leuven, Leuven, Belgium, 2Philips, Eindhoven, Netherlands, 3RWTH Aachen University, Aachen, Germany, 4AZ Sint-Jan Brugge, Brugge, Belgium, 5Jessa Ziekenhuis, Hasselt, Belgium, 6RISE, Stockholm, Sweden, 7KU Leuven, Leuven, Belgium, 8Ziekenhuis Oost-Limburg, Genk, Belgium, 9Center for Translational Psychological Research TRACE, Ziekenhuis Oost-Limburg, Genk, Belgium |
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Undergoing an awake MRI-scan can be very stressful for young children and bears the risk that image quality is poor due to motion artefacts. Behavioral training by an experienced trainer has shown success in preparing children before a scan, however, this approach is costly and trainer dependent. We have designed a mobile app to prepare children for an upcoming MRI-scan at home. This app was tested by 52 children in four different hospitals. First data show that children and parents appreciate the app very much and that learning goals can be reached with a digital application at home. |
| 748 | 17:00
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Efficient Bloch Simulation Based on Precomputed State-Transition Matrices |
| Nick Scholand1,2,3, Christina Graf1, and Martin Uecker1,2,3 | ||
1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Department of Interventional and Diagnostic Radiology, University Medical Center Göttingen, Göttingen, Germany, 3German Centre for Cardiovascular Research, Göttingen, Germany |
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The Bloch equations describe the effects of relaxation and external fields on the magnetization. Its coefficients are time-dependent, requiring computationally expensive techniques for its solution in the generic case. Currently, most techniques used in MRI are based on temporal discretization, but this requires very small time steps to achieve sufficiently small approximation errors. |
| 749 | 17:12
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Rigorous Uncertainty Estimation for MRI Reconstruction |
| Ke Wang1,2, Anastasios Angelopoulos1, Alfredo De Goyeneche1, Amit Kohli1, Efrat Shimron1, Stella Yu1,2, Jitendra Malik1, and Michael Lustig1 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2International Computer Science Institute, University of California, Berkeley, Berkeley, CA, United States |
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Deep-learning (DL)-based MRI reconstructions have shown great potential to reduce scan time while maintaining diagnostic image quality. However, their adoption has been plagued with fears that the models will hallucinate or eliminate important anatomical features. To address this issue, we develop a framework to identify when and where a reconstruction model is producing potentially misleading results. Specifically, our framework produces confidence intervals at each pixel of a reconstruction image such that 95% of these intervals contain the true pixel value with high probability. In-vivo 2D knee and brain reconstruction results demonstrate the effectiveness of our proposed uncertainty estimation framework. |
| 750 | 17:24
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Phase distribution graphs for differentiable and efficient simulations of arbitrary MRI sequences |
| Jonathan Endres1, Hoai Nam Dang1, Felix Glang2, Alexander Loktyushin2, Simon Weinmüller1, and Moritz Zaiss1,2 | ||
1Department of Neuroradiology, Universitätsklinik Erlangen, Erlangen, Germany, 2Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany |
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We propose an alternate method for simulating arbitrary MRI sequences, forming complete Bloch simulations. It is closely related to Extended Phase Graphs but imposes no restrictions on the alignment of timing or gradients, extends it to support T2' relaxation and 3D gradient encoding, is fully differentiable, provides additional insight into the composition of the measured signal while outperforming isochromat-based Bloch simulations in execution speed by using an analytical description of the signal instead of relying on a Monte-Carlo simulation. |
| 751 | 17:36
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Rotational invariants of the cumulant expansion (RICE) |
| Santiago Coelho1, Els Fieremans1, and Dmitry S. Novikov1 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University, School of Medicine, New York, NY, United States |
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We studied the symmetries of the diffusion and covariance tensors, both accessible through a general b-tensor acquisition. We showed that there is an unexplored contrast in the non-symmetric part of the covariance tensor and use it to compute the size-shape covariance of compartmental diffusion tensors. We measure all rotational invariants of the cumulant tensors in a normal volunteer, explore the novel size-shape contrast, and provide the relations between these invariants and typical diffusion contrasts. |
| 752 | 17:48
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Bayesian Estimation of Diffusivity Spectra: Application to Prostate Diffusion MRI |
| William M Wells1, Stephan E Maier1, and Carl-Fredrik Westin1 | ||
1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States |
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There is great interest to quantify the spectrum of diffusivities that underlie the observed diffusion signal decay; separate tissue compartments can be identified by their spectral peaks. This spectrum is defined by the inverse Laplace transform, but unfortunately this transform is very sensitive to noise omnipresent in diffusion MRI. We present a Bayesian method of inverse Laplace transform that uses Gibbs sampling to provide spectra along with an estimate of the noise related uncertainty in the spectra; this uncertainty information is valuable in interpreting the results. This is applied to multi-b high SNR endorectal coil diffusion data of the prostate. |
| 753 | 18:00
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Voxel-wise compartmental modelling of blood-brain barrier water exchange measurements using FEXI |
| Elizabeth Powell1, Yolanda Ohene2,3, Marco Battiston4, Laura M Parkes2,3, and Geoff JM Parker5,6 | ||
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 3Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom, 4NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 6Bioxydyn Limited, Manchester, United Kingdom |
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We propose compartmental modelling of blood-brain barrier (BBB) water exchange measurements using diffusion-filtered exchange imaging (FEXI), with the aim of providing greater biophysical insight into BBB function than is possible using the apparent exchange rate (AXR) approach. As relaxation time differences between blood and extravascular tissue have not yet been accounted for in FEXI-based BBB permeability measurements, we use simulations to quantify potential biases in exchange rates from both the AXR and compartmental approaches. Finally, we evaluate the repeatability of the AXR and compartmental models in a cohort of healthy subjects. |
| 754 | 18:12
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Mapping the myelin bilayer with short-T2 MRI: Validation studies |
| Emily Louise Baadsvik1, Markus Weiger1, Romain Froidevaux1, Wolfgang Faigle2, Benjamin Victor Ineichen3, and Klaas Paul Pruessmann1 | ||
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Neuroimmunology and MS Research Section, Neurology Clinic, University of Zurich, University Hospital Zurich, Zurich, Switzerland, 3Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland |
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Various techniques for myelin mapping based on signal from the lipid-protein bilayer have been proposed, and a common way of validating these techniques is using ex-vivo tissue samples. However, it is still unclear to what extent experimental factors such as tissue storage conditions and processing affect MR signal. In this work, we investigate how long-term deep-frozen storage impacts tissue signal, and evaluate whether signal component mapping is feasible in non-D2O-exchanged samples. We also determine whether animal tissue can act as a substitute for human tissue and investigate signal differences between white and grey matter. |
| 755 | 17:00
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Real-time MRI of speech production at 0.55 Tesla |
| Yongwan Lim1 and Krishna S. Nayak1 | ||
1University of Southern California, Los Agneles, CA, United States |
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We demonstrate 2D mid-sagittal real-time MRI of speech production at 0.55T by employing a custom designed upper airway coil, spiral-based bSSFP and GRE sequences, and constrained image reconstruction. We found that bSSFP offered superior SNR and tissue contrast compared to GRE, and the quality of images at 0.55T was superior to that commonly reported at 1.5T and 3T field strengths. We attribute this improvement to the significantly reduced off-resonance from air-tissue boundaries at 0.55T, making it possible to leverage bSSFP without suffering from banding artifacts. |
| 756 | 17:12
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A rapid motion-corrected T2*-weighted multi-shot EPI technique for the Emergency Department setting |
| 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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T2*w-MRI is routinely used for the diagnosis of hemorrhage and stroke in the Emergency Department, where time is critical and motion is often a concern. However, conventional T2*w-GRE have long scan times, and often suffer from motion artifacts. Parallel imaging and compressed sensing reduce the scan time, but are still prone to motion. ssEPI is fast and motion-insensitive, but suffers from severe geometric distortions. msEPI alleviates the distortion artifacts, but at the cost of increased motion sensitivity. This work presents an msEPI with a navigator echo for rapid motion-corrected T2*w-MRI. Volunteer and patient studies have demonstrated its robustness. |
| 757 | 17:24
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Variable Flip, Blip-Up and -Down Undersampling (VUDU) Enables Motion-Robust, Distortion-Free Multi-Shot EPI |
| Jaejin Cho1,2, Tae Hyung Kim1,2, Borjan Gagoski2,3, Zijing Zhang4, Avery Berman1,2, Congyu Liao5, and Berkin Bilgic1,2,6 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 4State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China, 5Radiological Sciences Laboratory, Stanford University, Palo Alto, CA, United States, 6Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States |
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We demonstrate the motion-robustness of multi-shot diffusion imaging using VUDU (Variable flip, blip-Up, and -Down Undersampling) in the brain. VUDU employs FLEET-ordering to acquire all EPI shots of a given slice successively before proceeding to the next slice and maximizes the signal using variable flip angle (vfa) excitation. It also utilizes BUDA (Blip-Up and -Down Acquisition) to eliminate B0 distortion and employs the Hankel low-rank regularization to address shot-to-shot phase variations. VUDU was able to provide high-fidelity diffusion-weighted images from in vivo data acquired during intentional head motion. |
| 758 | 17:36
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Motion insensitive T2-weighted dual-echo steady-state (DESS) imaging of the liver using alternating readout gradients |
| Daiki Tamada1 and Scott B. Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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In this work, we present a novel method to reduce motion sensitivity for T2-weighted dual-echo steady-state (DESS) imaging, through the use of a readout alternation (ROA) approach. ROA can be achieved by inverting polarity of gradient pulses in the readout axis, alternating every TR. Bloch equation simulations that included small physiological motion in the liver, and volunteer liver imaging was performed using the proposed method. Simulation and volunteer studies demonstrated that ROA effectively suppresses signal loss and motion-related artifacts. |
| 759 | 17:48
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A Fast T2-weighted Approach for Prostate Imaging using non-Cartesian GRAPPA and Spiral TSE readout |
| James Ahad1, Yun Jiang2, Vikas Gulani2, and Nicole Seiberlich2 | ||
1Biomedical Engineering, Case Western Reserve University, CLEVELAND, OH, United States, 2Radiology, University of Michigan, Ann Arbor, MI, United States |
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In-gantry prostate biopsy relies on repeated time-consuming T2-weighted TSE imaging for needle guidance. Reducing the acquisition time for this scan has been challenging due to the spatial resolution and field-of-view requirements of these images, in addition to susceptibility and off resonance artifacts sources common to pelvic imaging. This work proposes a non-Cartesian GRAPPA approach with a short spiral in-out TSE readout to reduce acquisition time for needle guidance images. Comparisons of in vivo Cartesian and spiral TSE images with 300mm FOV, 1.17x1.17mm2 resolution, and 3mm slice thickness acquired in 61s and 8s respectively, are shown. |
| 760 | 18:00
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Respiration artifact-free 3D DESS T2 mapping of the human brain |
| Emile Clements Kadalie1, Aurélien J Trotier1, Nadège Corbin1, Sylvain Miraux1, and Emeline J Ribot1 | ||
1Centre de Résonance Magnétique des Systèmes Biologiques, UMR5536, CNRS, Bordeaux, France |
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The Dual Echo Steady State (DESS) sequence has the potential to be used for 3D human brain imaging and 3D T2 mapping. It is however known to be sensitive to respiration. The DESS sequence was therefore modified to include a self-gating approach in order to investigate the influence of breathing on brain images and then extract artifact-free images. To apply this method for high resolution T2 mapping at 3T, an acceleration method compatible with Compressed Sensing was implemented to maintain a clinically acceptable acquisition time. |
| 761 | 18:12
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Circular Echo-Planar Time-resolved Imaging (cEPTI) for Rapid Time-Resolved and Quantitative Imaging |
| Nan Wang1, Congyu Liao1, Siddharth Srinivasan1, Xiaozhi Cao1, Justin Haldar2, and Kawin Setsompop1 | ||
1Stanford University, Stanford, CA, United States, 2University of Southern California, Los Angeles, CA, United States |
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EPTI is a highly accelerated time-resolved imaging method for rapid quantitative imaging. To improve the spatiotemporal encoding efficiency of EPTI, we developed a “circular” EPTI sampling trajectory (cEPTI), designed to efficiently traverse a tight circular k-space coverage with full ramp-sampling. A systematic approach was also developed to characterize the noise and effective resolution of the EPTI acquisition and used to guide the optimization of cEPTI’s k-t sampling trajectory. The optimized cEPTI was demonstrated to be capable of producing a 50ms time-resolved series of distortion-free sharp brain images with varying T2* weightings at 1 mm in-plane resolution from a 195ms scan. |
| 762 | Pitch: 17:00 Poster: 17:02 Plasma 16
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Microstructure-Informed Synthetic Axons (MISA): generating synthetic axons from 3D histology |
| Mariam Andersson1,2,3, Jonathan Rafael-Patino1,4,5, Hans Martin Martin Kjer2,3, Marco Pizzolato2,3,4, Gabriel Girard4,5,6, Jean-Philippe Thiran4,5,6, and Tim B. Dyrby2,3 | ||
1* (Equal contributions), Lausanne, Switzerland and Copenhagen, Denmark, 2Copenhagen University Hospital - Amager and Hvidovre, Danish Research Centre for Magnetic Resonance, Copenhagen, Denmark, 3Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark, 4Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 6CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Changes in diffusion properties of the intra-axonal space can be linked to brain health and function. Monte Carlo simulations of diffusion using realistic substrates are important for sequence design and for understanding diffusion MRI signals observed ex vivo and in vivo. However, it is difficult to construct tissue phantoms that accurately reflect compartment morphology. Here, we present the framework MISA for the generation of Microstructure-Informed Synthetic Axons. MISA uses statistical descriptions of axonal morphology from 3D histology to mimic real axons. We show here that MISA axons match axons from 3D histology in terms of their diffusion properties. |
| 763 | Pitch: 17:02 Poster: 17:04 Plasma 17
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Towards a gold standard for fiber orientations in the brain: Validating dMRI using scattered light and X-ray imaging |
| Marios Georgiadis1, Miriam Menzel2, David Gräßel2, Ivan Rajkovic3, Donald Born1, Markus Axer2, and Michael Zeineh1 | ||
1Stanford University School of Medicine, Stanford, CA, United States, 2Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Julich, Germany, 3Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, United States |
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Generating a detailed network model of the brain requires a correct mapping of fiber orientations. Diffusion MRI is sensitive to neuronal alignment, yet each voxel contains hundreds of axons and other structures. Light and X-ray scattering can reveal more detailed information about nerve fibers, with much higher resolution and specificity respectively. Here we combine two methods, namely Scattered Light Imaging (SLI) and 3D-scanning small-angle X-ray scattering (3D-sSAXS), aiming to provide a micrometer-resolution gold standard for fiber orientation imaging. We compare that to high-resolution diffusion MRI of a region with challenging fiber orientations, the corona radiata, in human and non-human primates. |
| 764 | Pitch: 17:04 Poster: 17:06 Plasma 18
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Intravoxel incoherent motion (IVIM) MRI for juvenile idiopathic arthritis in the knee: a prospective pilot study |
| Kilian Stumpf1, Britta Huch2, Anna-Katinka Bracher2, Thomas Hüfken1, Meinrad Beer2, Henning Neubauer2, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Department for Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany |
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Intravoxel incoherent motion (IVIM) imaging allows the quantification of diffusion and pseudo-perfusion in tissues and has been proposed as an alternative to conventional contrast agent enhanced (CE) T1-weighted scans. Its qualitative benefits for diagnosing juvenile idiopathic arthritis in the knee has previously been demonstrated. In this work, quantitative data of diffusion and perfusion fraction values between synovitis patients and healthy volunteers were compared in a prospective setting. |
| 765
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Pitch: 17:06 Poster: 17:08 Plasma 19
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Axonal diffusivities from two-shell PGSE data |
| Marco Pizzolato1,2,3, Mariam Andersson3, Erick Jorge Canales-Rodríguez2, and Tim Bjørn Dyrby1,3 | ||
1Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark, 2Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 3Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark |
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The strongly diffusion-weighted MRI signal contains information about the axonal parallel and perpendicular diffusivities. Powder averaging has simplified the estimation of the perpendicular diffusivity, however it is difficult to estimate the parallel one because, as we show, the powder-averaged signal at strong diffusion weightings is insensitive to it. In this work we propose a method that enables the estimation of both diffusivities from only two conventional linear PGSE signal shells collected at high b-values. The method is tested on public MGH-HCP data to retrieve axonal diffusivities and calculate the MR radius in white matter. |
| 766 | Pitch: 17:08 Poster: 17:10 Plasma 20
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Longitudinal evaluation of bundle-wise diffusion metrics in a region of fiber crossing for axonal degeneration and inflammation |
| Ricardo Coronado-Leija1, Omar Narvaez2, Ricardo Rios3, Benoit Scherrer4, Alonso Ramirez-Manzanares5, and Luis Concha3 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2University of Eastern Finland, Kuopio, Finland, 3Institute of Neurobiology, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico, 4Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 5Center of Research in Mathematics, Guanajuato, Mexico |
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Single fiber methods, such as the diffusion tensor, cannot accurately determine per-bundle characteristics in voxels occupied by multiple axonal populations specially in the case of pathology when they have different diffusion properties. In this work, we used animal models of axonal degeneration and inflammation to evaluate longitudinally the sensitivity of bundle specific metrics provided by three multi-fiber methods in a region of crossing fiber in which only one fiber population is injured. |
| 767 | Pitch: 17:10 Poster: 17:12 Plasma 21
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Comparison of diffusion MRI models for white matter in simulations and in early human brain development |
| Ying Liao1, Santiago Coelho1, Jenny Chen1, Benjamin Ades-Aron1, Dmitry S. Novikov1, and Els Fieremans1 | ||
1Radiology, NYU School of Medicine, New York, NY, United States |
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Biophysical modeling of diffusion MRI is instrumental in achieving specificity to tissue microstructure in human white matter. The “Standard Model” (SM) framework encompasses many approaches assuming multiple Gaussian compartments. To robustly estimate SM parameters, different constraints and techniques have been applied, resulting in different outcomes. Here we evaluate the precision and accuracy of commonly used implementations and constraints for SM parameter estimation, and compare their results both in simulations and in early human brain development. |
| 768 | Pitch: 17:12 Poster: 17:14 Plasma 22
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Rapid Multi-shell Diffusion MRI Enabled by Learning Compact and Rotation Invariant q-Space Representations |
| Merry Mani1, Baolian Yang2, Vincent Magnotta1, and Mathews Jacob1 | ||
1University of Iowa, Iowa City, IA, United States, 2GE Healthcare, Waukesha, WI, United States |
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A modified reconstruction is proposed for highly accelerated dMRI. The method employs machine learning in a model-based setting. The current work improves the generalizability of the deep-learned plug-and-play prior employed in the reconstruction, for enabling utilization of the reconstruction from a wide range of acquisition settings. This is achieved by learning a compact q-space representation in a rotation invariant space. The method is tested for the reconstruction of combined multi-band and in-plane accelerated data from both single-shell and multi-shell experiments. The reconstruction error is shown to be less than 3% for net acceleration of R=12 for single- and multi-shell cases. |
| 769 | Pitch: 17:14 Poster: 17:16 Plasma 23
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Beyond DW-Based Analysis of Fiber Architecture: Estimating Orientation Distributions from High Angular Resolution Susceptibility Imaging |
| Dimitrios G. Gkotsoulias1, Michael Paquette1, Cornelius Eichner1, Roland Müller 1, Torsten Schlumm1, Niklas Alsleben1, Jingjia Chen2, Carsten Jäger1, Jennifer Jaffe3,4, André Pampel1, Catherine Crockford3,4, Roman Wittig3,4, Alfred Anwander1, Chunlei Liu2, and Harald Möller1 | ||
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States, 3Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 4Tai Chimpanzee Project, Centre Suisse de Recherches Scientifiques en Cote d'Ivoire, Abidjan, Cote D'ivoire |
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We present a novel approach to estimate fiber Orientation Distribution Functions (ODFs) by applying the generalized Constant Solid Angle (CSA) method to High Angular Resolution Susceptibility Imaging (HARSI) data from post-mortem chimpanzee brain. The acquisition details and analytical pipelines are presented and derived susceptibility tensor metrics and ODFs are compared to metrics derived from traditional High Angular Resolution Diffusion Imaging (HARDI). The ODFs estimated from susceptibility data indicate comparable efficiency in resolving intersecting fiber orientations compared to HARDI-ODFs and increased sensitivity to secondary direction. This suggests a potential to obtain complementary information on brain white matter microstructural properties. |
| 770
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Pitch: 17:16 Poster: 17:18 Plasma 24
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DECOMPOSE-STI: decompose sub-voxel diamagnetic and paramagnetic susceptibility tensors |
| Jingjia Chen1, Dimitrios Gkotsoulias2, Jennifer Jaffe3,4, Catherine Crockford3,4, Roman Wittig3,4, Harald E. Möller2, and Chunlei Liu1,5 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 4Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques en Côte d’Ivoire, Abidjan, Cote D'ivoire, 5Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States |
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We investigate susceptibility tensor imaging (STI) reconstruction by separating the diamagnetic from paramagnetic susceptibility tensors using the recently introduced DECOMPOSE method. The resulting para-/diamagnetic susceptibility tensors produce spatially more coherent eigenvectors than conventional STI and it shows the potential to reduce the number of orientations needed for STI. |
| 771 | Pitch: 17:18 Poster: 17:20 Plasma 25
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chi-separation using multi-orientation data in invivo and exvivo brains: Visualization of histology up to the resolution of 350 μm |
| Hyeong-Geol Shin1, Jincheol Seo2, Youngjeon Lee2, Hwihun Jeong1, Sooyeon Ji1, Minjun Kim1, Jang Woo Park3, Byeong C. Kim4, Kyung-Hwa Lee5, Seong Heon Kim6, Jaewon Jang6, Myung Kyun Woo1, and Jongho Lee1 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2National Primate Research Center, Cheongju, Korea, Republic of, 3Korea Radioisotope center for pharmaceuticals, Seoul, Korea, Republic of, 4Chonnam National University Medical School, Gwangju, Korea, Republic of, 5Chonnam National University Hwasun Hospital and Medical School, Gwangju, Korea, Republic of, 6Kangwon National University Hospital, Chuncheon, Korea, Republic of |
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Recently, the susceptibility source separation method, χ-separation, was suggested to separate paramagnetic and diamagnetic susceptibility distributions in the brain, potentially providing quantitative information of paramagnetic iron and diamagnetic myelin. However, the ill-posed nature of dipole-inversion has hindered accurate estimation and direct comparison with histology. Here, we extended the model for multi-orientation GRE, resolving the ill-posedness. The new model is applied to in-vivo and ex-vivo, revealing exquisite details of susceptibility distribution. When the results are compared to iron and myelin histology, great similarities are observed, suggesting the potentials of χ-separation for non-invasively acquiring three-dimensional histological information of iron and myelin. |
| 772 | Pitch: 17:20 Poster: 17:22 Plasma 26
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In vivo quantitative laminar R2* and susceptibility imaging at 0.3 mm in-plane resolution |
| Jiaen Liu1, Peter van Gelderen2, Xu Li3,4, Jacco A. de Zwart2, Kuo-Wei Lai4,5, Jeremias Sulam5, Erin S. Beck6, Serhat V. Okar2, Peter C.M. van Zijl3,4, Daniel S. Reich2, and Jeff H. Duyn2 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 3Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 6Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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High resolution submillimeter MRI of myelin and iron may enhance our capability to define neural diseases more accurately and at an earlier stage. Susceptibility-weighted MRI methods are intrinsically sensitive to myelin and iron and benefit from the increased contrast-to-noise ratio at 7 T. In this study, we systematically investigated R2* and susceptibility distributions in cortical layers of healthy subjects with 0.3 mm in-plane resolution and 0.4 mm slice thickness. This effort was facilitated by a robust navigator-based motion- and B0-corrected GRE sequence. |
| 773 | Pitch: 17:22 Poster: 17:24 Plasma 27
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Diffusion-filtered imaging: Towards tissue-specific diffusion-MRI contrasts by combinations of tensor-valued diffusion encoding |
| Filip Szczepankiewicz1, Geraline Vis1, Danielle van Westen1, Carl-Fredrik Westin2, Pia M Sundgren1, and Markus Nilsson1 | ||
1Clinical Sciences Lund, Lund University, Lund, Sweden, 2Radiology, Brigham and Women's Hospital, Boston, MA, United States |
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Diffusion weighted imaging has been used both as a radiological tool that provides a simple biomarker without quantitative qualities, and more recent efforts have endeavored to make it quantitative by fitting of biophysical models or representations. In this work, we explore the novel radiological contrasts that can be generated by introducing tensor-valued diffusion encoding. Unlike most model-based approaches, these contrasts can be produced by rapid acquisition schemes and they produce novel contrasts that may contribute new diagnostic and radiological biomarkers. |
| 774 | Pitch: 17:24 Poster: 17:26 Plasma 28
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Resolve fiber crossings using orientation distribution function (ODF) of decomposed sub-voxel paramagnetic and diamagnetic susceptibility |
| Jingjia Chen1, Dimitrios Gkotsoulias2, Jennifer Jaffe3,4, Catherine Crockford3,4, Roman Wittig3,4, Harald E. Möller2, and Chunlei Liu1,5 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 4Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques en Côte d’Ivoire, Abidjan, Cote D'ivoire, 5Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States |
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DECOMPOSE-QSM was applied on high angular-resolution multi-echo gradient-echo data of a chimpanzee brain to evaluate its ability in resolving orientation mixture of substructure fiber bundles. The orientation distribution function (ODF) of the separated paramagnetic and diamagnetic susceptibility provides smooth transitions of multiple fiber orientations. Additionally, the paramagnetic maps from DECOMPOSE show a potential to resolve fiber crossings in deep gray matter regions. |
| 775 | Pitch: 17:26 Poster: 17:28 Plasma 29
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In vivo myelin thickness estimates from DIffusion-Prepared Phase Imaging (DIPPI) |
| Michiel Cottaar1, Wenchuan Wu1, Karla Miller1, and Saad Jbabdi1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom |
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DIPPI is a novel sequence that allows the measurement of the off-resonance field experienced by intra-axonal water, which in myelinated axons is modulated by the surrounding myealin sheath allowing for estimation of the g-ratio. Unlike other g-ratio imaging methods, DIPPI does not rely on combining multiple modalities and can provide g-ratio estimates for individual crossing fibre populations rather than averaged over voxels. We present the first in-vivo DIPPI measurements and correct it for confounds such as subject movement and eddy currents. We then estimate the g-ratio in multiple white matter tracts from the processed off-resonance field maps. |
17:00
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Magnetic Susceptibility Imaging of Brain Microstructure Using Chi-Separation | |
| Hyeong-Geol Shin | ||
| Seoul National University, Korea, Republic of | ||
17:30
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Probing Tissue Microstructure with Diffusion MRI & Tissue Clearing 3D Histology | |
| Jennifer McNab | ||
| Stanford University, United States | ||
18:00
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Assessment of Bone Microstructure Using MRI & High-Resolution X-Ray Microtomography | |
| David Bendahan | ||
| Aix Marseille University | ||
18:30
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Relaxivity & Diffusion Imaging of Cardiac Microstructure | |
| Laura Schreiber | ||
| University Hospital Wuerzburg | ||
17:00
|
Side-Effects of Cancer Therapy: A Balance Between Life & Living | |
| Jenna Morgan | ||
| Sheffield University | ||
17:24
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Imaging Chemo Brain in Body Cancers | |
| Michiel de Ruiter | ||
| Netherlands Cancer Institute | ||
17:48
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Imaging Markers of Cognitive Decline in Patients with Brain Tumors | |
| Tracy Luks | ||
| UCSF | ||
18:12
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Impact of Cancer Therapy on the Developing Brain: A Pediatric Imaging Perspective | |
| Marita Partanen | ||
| Princess Maxima Center | ||
18:36
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Therapeutic Interventions on the Horizon to Improve QOL | |
| Don Mabbott | ||
| SickKids Hospital Toronto | ||
| 19:15 | Closing Remarks |
| 19:30 | Mansfield Lecture: Finding Ecstasy & Agony in a Marriage Between Physics & Neuroscience |