Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Advanced Quantitative and Diffusion MRI for Epilepsy: From Lesion Detection to Clinical Translation

Advanced Quantitative and Diffusion MRI for Epilepsy: From Lesion Detection to Clinical Translation

Digital Poster

Neuro B

Thursday, 14 May 2026

Digital Posters Row C

08:30 - 09:25

Session Number: 662-01

No CME/CE Credit

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This poster session highlights advanced MRI methodologies for epilepsy, emphasizing diffusion, quantitative, functional, metabolic, and machine learning–based imaging. The works address lesion detection, epileptogenic tissue characterization, pediatric and surgical applications, and ultra-high-gradient and ultra-high-field implementations, demonstrating translational advances for diagnosis, localization, and treatment planning.

		662-01-001. Mapping the Mean Diffusivity of Tissue (MDT): Evaluation in Epilepsy and Glioma and Implementation on a 200 mT/m System Cornelia Säll, Irena Grubor, Filip Szczepankiewicz, Kristina Serednicka, Johan Bengzon, Pia Maly Sundgren, Markus Nilsson Lund University, Lund, Sweden Impact: MDT-mapping can improve lesion visibility by suppressing free water, thereby providing complementary diagnostic information to the ADC. MDT-mapping can be performed on regular clinical systems, but shows a clear gain in quality from ultra-strong gradients.
		662-01-002. Interstitial fluid properties relate to sleep duration in childhood absence epilepsy Gerhard Drenthen, Monica Balog, Sylvia Klinkenberg, Mariette Debeij-Van Hall, Jeroen Vermeulen, Twan Voncken, Walter Backes, Jacobus Jansen Maastricht University Medical Center, Maastricht, The Netherlands, Maastricht, Netherlands Impact: This study reveals altered interstitial fluid properties in childhood absence epilepsy, suggesting impaired glymphatic function. Furthermore, the findings highlight the importance of sleep duration on glymphatic activity and may guide sleep-focused interventions in pediatric epilepsy management.
		662-01-003. High-fidelity submillimeter-resolution 13-min quantitative and diffusion MRI for epilepsy diagnosis and lesion localization Yurui Qian, Kang Wang, zihan zhou, Xiaozhi Cao, Dengchang Wu, Yuehui Ma, Mahmut Yurt, Ting Gong, Zheren Zhu, Kawin Setsompop, Salil Soman, Sharmila Majumdar, Yang Yang, Congyu Liao University Of California, San Francisco (UCSF), United States of America Impact: We demonstrated a 13-minute whole-brain 0.8 mm isotropic 3D quantitative and diffusion protocol that combines MRF and gSlider diffusion imaging with deep-learning-based denoising, semi-supervised synthesis, and hippocampal subfield segmentation and reconstruction, enabling more precise evaluation and diagnosis of epilepsy.
		662-01-004. Added value of diffusion MRI surface-based features for focal lesion detection in paediatric epilepsy Yi Jie Li, Felice D'Arco, Kiran Seunarine, Tina Banks, Torsten Baldeweg, Konrad Wagstyl, Sophie Adler, Chris Clark University College London, London, United Kingdom Impact: Diffusion MRI features provide added discriminatory power for lesion classification, outperforming existing T1-weighted and FLAIR features. Integrating dMRI in the Multi-centre Epilepsy Lesion Detection (MELD) Project pipeline could improve lesion detection, enhance diagnostic accuracy and better inform clinical decisions.
		662-01-005. Intraoperative 3 Tesla resting-state fMRI for partial callosotomy in pediatric patients - First results Gilbert Hangel, Nicolas Weilguny, Roxane Licandro, Gregor Kasprian, Martha Feucht, Karl Rössler, Christian Dorfer, Matthias Tomschik Medical University of Vienna, Vienna, Austria Impact: We showed first results for intraoperative resting state fMRI-based mapping of brain networks before and after callosotomy in paediatric patients. While we could not yet identify biomarkers to support decision-making, we were able to map post-callosotomy changes.
		662-01-006. Fibre Bingham Distribution: A Method for Differentiation of White Matter Alteration after Hemispherotomy? Mica Ruttorf, Christine Bulteau, Frauke Nees Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany Impact: After hemispherotomy, children’s brains are no longer suitable for automatic fibre tracking. Fibre Bingham distribution on a voxel level gives information on white matter condition offering parameter maps for monitoring microstructural changes making it a promising tool for follow-up examinations.
		662-01-007. Metabolic insights into epileptogenic brain tissue using Deuterium Metabolic Imaging at 7T Meriek Wanders, Narjes Ahmadian, Mark Gosselink, Hans Hoogduin, Maeike Zijlmans, Isa Bakker, Pieter Van Eijsden, Dennis Klomp, Evita Wiegers, Nicole Van Klink UMC Utrecht, Utrecht, Netherlands Impact: This study demonstrates the potential of DMI to study glucose metabolism in epileptogenic brain tissue. In the future, these findings could enhance non-invasive diagnostics and individualized treatment strategies.
		662-01-008. Classification of Temporal Lobe Epilepsy from Quantitative Multiparametric MRI with a 3D Convolutional Neural Network Alfonso Mastropietro, Nicola Casali, Ludovica Aghilar, Alessandro Brusaferri, Martina Baroffio, Valeria Cuccarini, Paolo Vitali, Stefano Meletti, Anna Vaudano, Laura Tassi, Fulvia Palesi, Federica Mazzi, Giuseppe Didato, Giuseppe Baselli, Giovanna Rizzo, Domenico Aquino Consiglio Nazionale delle Ricerche, Milano, Italy Impact: This study shows that combining multiparametric quantitative MRI with ensemble deep learning enhances diagnostic accuracy and reliability in TLE classification, while uncertainty quantification provides complementary insights into prediction confidence, supporting potential clinical translation of AI-assisted epilepsy diagnosis.
		662-01-009. Perturbations of Information Flow in Brains With Temporal Lobe Epilepsy: A Resting-state fMRI and Transfer Entropy Study Siqi Cai, Fan Yang, Lijuan Zhang Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: This study demonstrates that TLE perturbs the global directed information flow with alteration patterns specific to the lesion laterality, highlighting distinct remodeling mechanisms underlying epileptogenesis in different hemispheres and providing novel global-level evidence for directed epileptic networks.
		662-01-010. Quantitative analysis of neurochemical changes in epilepsy imaged by 7T MRSI Haniye Shayeste, Stefanie Chambers, Philipp Lazen, Matthias Tomschik, Jonathan Wais, Gregor Kasprian, Lukas Haider, Leo Hofer, Pascal Baltzer, Christoph Baumgartner, Johannes Koren, Vitalij Zeiser, Florian Mayer, Martha Feucht, Christian Dorfer, Ekaterina Pataraia, Wolfgang Bogner, Karl Rössler, Gilbert Hangel Medical University of Vienna, Vienna, Austria Impact: For the first time, we established regional concentration estimates of neurochemicals in epilepsy patients using whole-brain 7T MRSI. Detecting abnormal concentrations has the potential to improve the diagnosis of SOZ in MR-negative patients.
		662-01-011. Lateralized Dynamic Network Reconfiguration Related to Temporal Lobe Epilepsy via Time-Resolved Multilayer Network Analysis Siqi Cai, Fan Yang, Lijuan Zhang Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: Right-TLEs lead to more extensive disruption of spatiotemporal dynamics in the brain, implicating a complicated remodeling pattern triggered by epileptogenesis in right hemisphere. This finding may provide potential imaging biomarkers for the laterality determination of TLE.
		662-01-012. Towards the assessment of mesial temporal lobe epilepsy with elastography and perfusion MRI at 7T Caitlin Neher, Oleksandr Khegai, Lara Marcuse, Madeline Fields, Mehmet Kurt, Priti Balchandani University of Washington, Seattle, United States of America Impact: This study introduces a novel multimodal non-invasive neuroimaging scheme which combines both MR elastography and ASL MRI measures at 7T. The protocol shows heightened sensitivity to epilepsy lateralization and could serve as a complementary diagnostic method for unilateral mTLE patients.
		662-01-013. Zooming into Hippocampus Subfield and Architectural Alterations with Aging Rittika Dutta, Archita Khatua, Pratiti Phukan, Niraj Gupta, Neha Yadav, Vivek Tiwari Indian Institute of Science Education and Research (IISER) Berhampur, Odisha, India Impact: Normative, high-resolution, cross-cultural benchmarks of hippocampal subfield aging reveal both degenerative and compensatory volumetric patterns, advancing the understanding of hippocampal plasticity, structural resilience, and subfield-specific remodeling mechanisms that govern healthy cognitive aging.
		662-01-014. Microstructural Imaging for Presurgical Evaluation of Patients with Epilepsy – an Ultra-High Gradient Diffusion MRI Study Felix Zahnert, Peter Hadar, Kwok-Shing Chan, Hansol Lee, Aneri Bhatt, Yixin Ma, Susanne Knake, Elizabeth Thiele, Sydney Cash, Steven Stufflebeam, Lawrence Wald, Susie Huang Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: We provide evidence for the utility of diffusion microstructural modelling for the detection of epileptogenic lesions and their intracranial electrophysiological correlates. This translational work highlights a potential avenue towards a much-needed new modality for the presurgical evaluation of epilepsies.
		662-01-015. The brain network characteristics of children with idiopathic-generalized epilepsy based on graph theory analysis Yuting Wang, Lihua Qiu The Second People’s Hospital of Yibin, Yibin, Sichuan province, China Impact: Our findings comprehensively characterized the brain topological architecture in children with IGE, revealing a trend of greater vulnerability in functional versus structural networks, which offers a novel perspective.
		662-01-016. Diffusion MRI–Guided PET Metabolic Network Reveals Distributed and Lateralized Network Dysfunction in MTLE Jia Ying, Haiqing Zhang, Jiwei Li, Xinyi Ma, Zeyu Zhou, Wei Liu, Miao Zhang, Jie Luo, Chuan Huang Emory University School of Medicine, Atlanta, United States of America Impact: We proposed a diffusion MRI-guided FDG-PET analysis framework that detects whole-brain and hemisphere-specific dysfunction in MRI-visible hippocampal sclerosis and MRI-negative mesial temporal lobe epilepsy (MTLE), revealing metabolic network disruption and offering a quantitative marker to support lateralization and presurgical decision-making.