ISMRM22 - Outstanding Abstracts from the Annual Meeting

Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting • 07-12 May 2022 • London, UK

Outstanding Abstracts from the Annual Meeting

Oral

Other

Thursday, 12 May 2022

ICC Capital Hall 2

08:00 - 09:00

Moderators: Mary-Louise Greer & Ruud van Heeswijk

Session Number: S-Th-09

08:00	0591.	Imaging Neuronal Activity at Fast Timescales in Humans using MR Elastography Video Unavailable Shruti Mishra^1,2, Bin Deng^2,3,4, W. Scott Hoge^1,2,3, Yanmei Tie^2,5, Giacomo Annio⁶, Ralph Sinkus⁶, and Samuel Patz^1,2 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 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.
08:03	0134.	Neuronal Response to Transcranial Direct Current Stimulation (tDCS) in Multiple Sclerosis Video Unavailable 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 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.
08:06	4370.	A Feasibility Study of 0.055T MRI for Neuroimaging and Comparison with Clinical 3T MRI Video Unavailable Alex T. L. Leong^1,2, Yilong Liu^1,2, Yujiao Zhao^1,2, Linfang Xiao^1,2, Henry K. F. Mak³, Tsang Anderson⁴, Gary K. K. Lau⁵, Gilberto K. K. Leung⁴, and Ed X. Wu^1,2,6 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 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.
08:09	0255.	Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence Video Unavailable Eloïse MOUGEL¹, Julien Valette¹, and Marco Palombo^2,3,4 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 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.
08:12	0162.	In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter Video Unavailable 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 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.
08:15	0019.	Longitudinal associations between 4D flow MRI intracranial pulsatility, white matter lesions, and perivascular space dilation across 5 years Video Unavailable Tomas Vikner¹, Nina Karalija^1,2, Anders Eklund^1,2, Jan Malm³, Lars Nyberg^1,2,4, and Anders Wåhlin^1,2,5 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 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.
08:18	3729.	Hemodynamics, brain volume and cortical development in fetuses with complex congenital heart disease Video Unavailable Cong Sun¹, Xinyi Xu², Jiaguang Song³, Yufan Chen¹, Chao Zhang¹, Yuhao Liao², Wanrong Luo², Jinxia Zhu⁴, Dan Wu², and Guangbin Wang^1,3 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 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.
08:21	0036	MRI with UTE: Capability for Nodule Detection and Lung RADS Classification as Compared with Standard- and Reduced-Dose CTs in Screening Cohort Video Permission Withheld Yoshiharu Ohno^1,2, 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 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.
08:24	0145.	High Spatiotemporal Resolution Breast MR Increases Cancer Detection and Reduces Unnecessary Biopsies in Patients with Marked BPE Video Unavailable 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 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.
08:27	0723.	Development of MRI-based 3D Radiomics Signatures for Preoperative Risk Stratification of Patients with Histology-proven Endometrial Cancer Video Unavailable Thierry L. Lefebvre^1,2, Yoshiko Ueno^3,4, Anthony Dohan^5,6, Avishek Chatterjee^1,7, Martin Vallières^1,8, Eric Winter-Reinhold⁹, Sameh Saif³, Ives R. Levesque^1,10, Xing Ziggy Zeng¹¹, Reza Forghani^3,9, Jan Seuntjens¹, Philippe Soyer^5,6, Peter Savadjiev^3,12, and Caroline Reinhold^3,9 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 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.
08:30	0666.	Whole-body fasciculation detection in Amyotrophic Lateral Sclerosis (ALS) using motor unit MRI (MUMRI) Video Unavailable Linda Heskamp¹, Matthew G. Birkbeck^1,2,3, Julie Hall^1,4, 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 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.
08:33	0510.	Phase-based 3D diffusion mapping using RF phase-modulated gradient echo imaging Video Unavailable Daiki Tamada¹ and Scott B. Reeder^1,2,3,4,5 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 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.
08:36	0271.	Improved Myocardial Scar Visualization with Two-minute Free-breathing Joint Bright- and Black-blood Late Gadolinium Enhancement Imaging Video Unavailable Aurelien Bustin^1,2,3, Soumaya Sridi², Aurelien Maillot¹, Xavier Pineau², Marta Nuñez-Garcia¹, Maxime Sermesant^1,4, Dounia El Hamrani¹, Julie Magat¹, Jérôme Naulin¹, Stéphanie Clément-Guinaudeau², Claire Bazin², Gäel Dournes², Michel Montaudon², François Laurent², Pierre Jaïs^1,5, Matthias Stuber^1,3,6, and Hubert Cochet^1,2 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 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.
08:39	3101.	Preliminary assessment of 3D APT-weighted combined with diffusion weighted imaging in characterization of bone and soft tissue tumors Video Unavailable 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 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.
08:42	5036.	Evaluation of High Resolution Diffusion MRI on the Next-Generation 7T scanner Video Unavailable An T Vu^1,2, Alexander JS Beckett^3,4, Salvatore T Torrisi^3,4, Sinyeob Ahn⁵, Michael Koehler⁶, Peter Dietz⁶, and David A Feinberg^3,4 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 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.
08:45	0223.	300 mT/m diffusion MRI 'below the neck': First results in healthy prostate Video Unavailable Malwina Molendowska¹, Marco Palombo¹, Fabrizio Fasano^2,3, Derek K. Jones¹, Daniel C. Alexander⁴, Eleftheria Panagiotaki⁴, and Chantal Tax^1,5 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 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.