Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Neuroinflammation: Myelin and Iron

Digital Poster

Neuro A

Monday, 11 May 2026

Digital Posters Row H

16:10 - 17:05

Session Number: 367-05

No CME/CE Credit

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This digital poster session focuses on advanced quantitative MRI methods for probing brain microstructure and pathology in neuroinflammation, with particular emphasis on multiple sclerosis and related neurological conditions. Presentations showcase innovations in quantitative susceptibility mapping (QSM), diffusion MRI, myelin-sensitive imaging, ultra-high-field MRI, and AI-based analysis to improve lesion characterization, detect subtle tissue changes, and predict clinical outcomes. Collectively, the posters highlight how cutting-edge acquisition techniques and computational approaches are advancing imaging biomarkers for disease mechanisms, progression, and prognosis.

		367-05-001. Predicting long-term changes in clinical disability with short-term myelin water fraction measurements in multiple sclerosis Irene Vavasour, Olivia Kalau, Poljanka Johnson, Sarah Morrow, Roger Tam, Cornelia Laule, Alex MacKay, David Li, Anthony Traboulsee, Shannon Kolind University of British Columbia, Vancouver, Canada Impact: People living with progressive multiple sclerosis that have large 2-year changes in brain white matter myelin water fraction are at greater risk of increasing disability in manual dexterity and cognitive processing speed over 5-years.
		367-05-002. Microstructural profile of multiple sclerosis lesions by combined analysis of QSM and time-dependent diffusion MRI Bohong Zou, Sijia Li, Xueming Li, Chen Zhang, Jie Sun, Zhang Zhang, Thorsten Feiweier, Ningnannan Zhang Tianjin Medical University General Hospital, Tianjin, China Impact: This study establishes PRLs, characterized by axonal injury (low V_in) via OGSE, as critical therapeutic targets for preserving cognition in MS, moving beyond conventional lesion load.
		367-05-003. Towards Harmonisation of Paramagnetic Rim Lesion Detection in Multiple Sclerosis: Comparing T2-Weighted and QSM imaging Francesca Pentimalli Biscaretti di Ruffia, Rozanna Meijboom, Peter Foley, Samantha Hendry, Michael Thrippleton, Daisy Mollison, Pascal Sati, Niall MacDougall, Siddharthan Chandran, Elizabeth York, Patrick Kearns, David P. Hunt, Adam D. Waldman Institute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, United Kingdom Impact:* This study initiates a comparison of susceptibility-sensitive MRI techniques for detecting paramagnetic rim lesions (PRLs) in multiple sclerosis. Quantitative susceptibility mapping showed greater sensitivity than T2*-weighted imaging, laying the groundwork for harmonising PRL assessment and detection in clinical practice.
		367-05-004. Longitudinal Tracking of Pulvinar Iron Trajectories with QSM Suggests Early Thalamic Aging in Multiple Sclerosis Fahad Salman, Thomas Jochmann, Joseph Boccardo, Niels Bergsland, Michael Dwyer, Bianca Weinstock-Guttman, Christian Riedl, Simon Hametner, Robert Zivadinov, Gregory Wilding, Ferdinand Schweser Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, United States of America Impact: Our model of thalamic iron loss in MS reveals a breakdown in iron homeostasis resembling accelerated aging. It enables patient stratification by onset age, providing new biomarkers for trials and highlighting oligodendroglial iron management as a key therapeutic target.
		367-05-005. Elevated water mobility-not myelin loss-distinguishes diffusely abnormal from normal appearing white matter in MS brain Tigris Joseph, Shannon Kolind, Guojun Zhao, Robert Carruthers, Alice Schabas, Ana-Luiza Sayao, Virginia Devonshire, Roger Tam, G. R. Wayne Moore, David Li, Anthony Traboulsee, Irene Vavasour, Cornelia Laule University of British Columbia, Vancouver, Canada Impact: Diffusely abnormal white matter demonstrates altered water mobility but similar myelin content relative to normal appearing white matter. The pathological mechanisms of altered water signal in diffusely abnormal white matter, and clinical implications, require further study.
		367-05-006. QSM Reveals Region-Specific Remyelination Patterns linked to Multiple Sclerosis Disease Progression Noa Bar Zohar, Dimitrios Gkotsoulias, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Tommaso Sirito, Xinjie Chen, Matthias Weigel, Sven Cichon, Jens Kuhle, Ludwig Kappos, Cristina Granziera Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland Impact: This work reveals spatial and clinical heterogeneity in remyelination patterns across the MS brain using QSM. The observed patterns further refine our understanding of repair mechanisms and support QSM as a biomarker for remyelination-targeted therapies.
		367-05-007. Investigating magnetic susceptibility changes caused by hypoxia and myelin in the mouse brain at 9.4T using QSM and R2* Jeff Dunn, Ty Makarowski, Abbey Palset, Ying Wu, Hongfu Sun, Yohan Yee, Gabriel Devenyi University of Calgary, Calgary, Canada Impact: A positive change in susceptibility detected hypoxia, even in the presence of demyelination. QSM was insensitive to demyelination. This shows that positive changes in susceptibility, if iron deposition is not present, can detect hypoxia.
		367-05-008. Patterns of Expanding Lesions in Multiple Sclerosis: Associations with Microstructural Changes and Neuroaxonal Damage Martina Greselin, Po-Jui Lu, Alessandro Cagol, Esther Ruberte, Sabine Schädelin, Lester Melie-Garcia, Xinjie Chen, Riccardo Galbusera, Mario Ocampo-Pineda, Matthias Weigel, Jens Kuhle, Ludwig Kappos, Habib Ganjgahi, Frederik Lange, Thomas Nichols, Dieter Häring, Elizabeth Fisher, Laura Gaetano, Cristina Granziera Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland Impact: These findings provide a foundation for future studies exploring the mechanisms underlying disease progression and clinical worsening in people with Multiple Sclerosis.
		367-05-009. Pathology-informing deep learning with brain diffusion MRI for predicting disease worsening in multiple sclerosis Olayinka Oladosu, Xinzhou Li, Mahum Rashid, Wei-Qiao Liu, G. Bruce Pike, Yunyan Zhang University of Calgary, Calgary, Canada Impact: Identifying neurite specific information along with robust deep learning models can help gain new insight into disease worsening mechanisms thereby guiding early intervention and prevention for improved health care.
		367-05-010. Rapid magnetization transfer imaging for ultra high field (UHF) MRI Se-Hong Oh, Ken Sakaie, Gawon Lee, Devon Conway, Sarah Planchon, Daniel Ontaneda, Stephen Jones, Mark Lowe Hankuk university of Foreign Studies, gyeonggi-do, Korea, Republic of Impact: EP-vpMT achieves five-fold faster quantitative MT imaging at 7T than variable-density GRE-MT with comparable accuracy(BPF R² = 0.91). The framework detects demyelinating MS lesions and enables high-contrast neuromelanin imaging, supporting efficient quantitative myelin and neuromelanin assessment in clinical ultra-high-field MRI.
		367-05-011. The Initial Signal in Gradient Echo Imaging at Ultra-High Field: a Potential Role in Studying Multiple Sclerosis? Michael Adam, Paul Klieber, Peter Schneier, Assunta Dal-Bianco, Wolfgang Bogner, Simon Robinson Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria Impact: Homogeneous images of the initial signal in multi-echo gradient-echo data, M₀, can be created quickly on the image reconstructor from data acquired for SWI and QSM. M₀ shows potential in imaging black hole lesions, which are indicative of tissue damage.
		367-05-012. SUPREME-SWI-FLAIR Enhances Central Vein Sign (CVS) Detection for MS at 3T MRI Vivian Truong, Fen Bao, Sarah Wright, Sara Omar, Anas Nourelden, Anza Memon, Yongsheng Chen Wayne State University School of Medicine, Detroit, United States of America Impact: SUPREME enables 7T-like susceptibility imaging on clinical 3T MRI, significantly improving CVS positive lesion detectability. This method could improve MS diagnostic accuracy by facilitating the adoption of the updated McDonald criteria and advancing patient care.
		367-05-013. Distinct Patterns of White Matter Microstructural Damage in MOGAD and MS Revealed by Tract-Based Spatial Statistics Leonardo Tang, Adam Goldman-Yassen, Grace Gombolay, Austin Wheeler, Yuri Shishido, Eswar Damaraju , Susan Palasis, Hui Mao Emory University School of Medicine, Atlanta, United States of America Impact: This work reveals distinct topographic signatures of white matter damage in pediatric myelin oligodendrocyte glycoprotein antibody-associated disease and multiple sclerosis, providing a quantitative imaging biomarker to help differentiate these disorders and links specific pathway injury to their unique clinical phenotypes.
		367-05-014. The impact of metformin on brain CBF and hypoxia in the EAE model of multiple sclerosis: Quantified R2* and CBF at 9.4T Abbey Palset, Ying Wu, Mahir Rahman, Demitra Selimos, Mada Hashem, Ty Makarowski, Maryam Mobarakabadi, Wee Yong, Jeff Dunn University of Calgary, Calgary, Canada Impact: MRI and animal model data provide evidence supporting the use of metformin in treatment of MS, and show that vascular injury may be an important target for therapies in MS.
		367-05-015. MRI-Based Brain Aging Models Reveal Specific Atrophy Patterns in Multiple Sclerosis according to Age, Sex, and Age at Onset Loredana Storelli, Paolo Preziosa, Alessandro Meani, Antonio Gallo, Alessandro d'Ambrosio, Patrizia Pantano, Claudia Piervincenzi, Nicola De Stefano, Rosa Cortese, Paola Valsasina, Elisabetta Pagani, Massimo Filippi, Maria A. Rocca IRCCS San Raffaele Scientific Institute, Milan, Italy Impact: Modeling healthy brain aging enables the identification of MS-specific atrophy patterns, emphasizing the need to consider physiological aging, sex, and age at onset when interpreting neuroimaging biomarkers and monitoring neurodegeneration in multiple sclerosis.