Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026
· Cape Town, South Africa
363-04-004
ISMRM Abstract
Quantitative susceptibility mapping and phase imaging for the study of multiple sclerosis in the spinal cord at 7T
Primary:
Neuro - Multiple Sclerosis
Secondary:
Neuro - Spinal Cord
363-04-004 · From Iron to Intelligence: Quantitative Imaging and AI in Brain Disorders
· Monday, 11 May, 2:45 PM–3:40 PM · Digital Posters Row D
Keywords:Multiple SclerosisSpinal Cord7TQuantitative Susceptibility Mapping (QSM)Ultra-High Field (UHF)
Accepted
Aurelien Destruel 1,2, Sarah Demortière1,3, Maxime Guye1,2, Jean Pelletier1,3, Virginie Callot1,2
1Aix Marseille Univ, Marseille, France
2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France
3APHM, Marseille, France
Presenting Author: Aurelien Destruel
Synopsis
Motivation:
Goals:
Approach:
Results:
Full abstract & presentation
The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.
Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.
To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.
1. Barkhof F, Reich DS, Oh J, et al. 2024 MAGNIMS–CMSC–NAIMS consensus recommendations on the use of MRI for the diagnosis of multiple sclerosis. The Lancet Neurology. 2025;24(10):866-879. doi:10.1016/S1474-4422(25)00304-7 [doi]
2. Kreiter DJ, van den Hurk J, Wiggins CJ, Hupperts RMM, Gerlach OHH. Ultra-high field spinal cord MRI in multiple sclerosis: Where are we standing? A literature review. Mult Scler Relat Disord. 2022;57:103436. doi:10.1016/j.msard.2021.103436 [doi]
3. Clarke MA, Witt AA, Robison RK, et al. Cervical spinal cord susceptibility-weighted MRI at 7T: Application to multiple sclerosis. Neuroimage. 2023;284:120460. doi:10.1016/j.neuroimage.2023.120460 [doi]
4. Destruel A, Demortière S, Guye M, Pelletier J, Callot V. Optimized susceptibility-weighted MRI for central vein sign detection in the spinal cord at 7T. Submitted to proceedings of the Annual Meeting of ISMRM. 2026.
5. Tsagkas C, Donadieu M, Sun R, et al. Spinal cord lesions in MS: Insights from combined ultra-high-resolution postmortem MRI and histology. Proceedings of ECTRIMS. 2025.
6. Liu T, Spincemaille P, de Rochefort L, Kressler B, Wang Y. Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI. Magn Reson Med. 2009;61(1):196-204. doi:10.1002/mrm.21828 [doi]
7. QSM Consensus Organization Committee, Bilgic B, Costagli M, et al. Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: a consensus of the ISMRM electro‐magnetic tissue properties study group. Magnetic resonance in medicine. 2024;91(5):1834-1862.
8. Cronin MJ, Wharton S, Al-Radaideh A, et al. A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field. Magnetic Resonance Materials in Physics, Biology and Medicine. 2016;29(3):543-557.
9. Vannesjo SJ, Miller KL, Clare S, Tracey I. Spatiotemporal characterization of breathing-induced B0 field fluctuations in the cervical spinal cord at 7T. NeuroImage. 2018;167:191-202. doi:10.1016/j.neuroimage.2017.11.031 [doi]
10. Destruel A, Mauconduit F, Massire A, et al. Optimized interferometric encoding of presaturated TurboFLASH B1 mapping for parallel transmission MRI at 7 T: Preliminary application for quantitative T1 mapping in the spinal cord. Magnetic Resonance in Medicine. 2023;90(4):1328-1344. doi:10.1002/mrm.29708 [doi]
11. Øfstaas KJ, Vannesjo SJ. Quantitative susceptibility mapping of the cervical spinal cord at 7 Tesla. Proceedings of the Annual Meeting of ESMRMB. 2025.
12. Streichenberger B, Santin M, Roche S, et al. Quantitative susceptibility mapping of the cervical spinal cord for multiple sclerosis monitoring. Proceeding of the SFRMBM. 2025.
13. Massire A, Taso M, Besson P, Guye M, Ranjeva JPP, Callot V. High-resolution multi-parametric quantitative magnetic resonance imaging of the human cervical spinal cord at 7T. NeuroImage. 2016. doi:10.1016/j.neuroimage.2016.08.055 [doi]
14. Eckstein K, Bachrata B, Hangel G, et al. Improved susceptibility weighted imaging at ultra-high field using bipolar multi-echo acquisition and optimized image processing: CLEAR-SWI. Neuroimage. 2021;237:118175. doi:10.1016/j.neuroimage.2021.118175 [doi]
15. Bazin PL, Alkemade A, Van der Zwaag W, Caan M, Mulder M, Forstmann BU. Denoising high-field multi-dimensional MRI with local complex PCA. Frontiers in neuroscience. 2019;13:1066.
16. De Leener B, Lévy S, Dupont SM, et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage. 2017;145(Pt A):24-43. doi:10.1016/j.neuroimage.2016.10.009 [doi]
17. Quinn M, Gati J, Klassen L, et al. Comparison of multiecho postprocessing schemes for SWI with use of linear and nonlinear mask functions. American Journal of Neuroradiology. 2014;35(1):38-44.
18. Liu T, Khalidov I, de Rochefort L, et al. A novel background field removal method for MRI using projection onto dipole fields. NMR in Biomedicine. 2011;24(9):1129-1136.
19. De Rochefort L, Liu T, Kressler B, et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine. 2010;63(1):194-206.
20. Sun H, Wilman AH. Background field removal using spherical mean value filtering and Tikhonov regularization. Magnetic resonance in medicine. 2014;71(3):1151-1157.
21. Milovic C, Bilgic B, Zhao B, Acosta‐Cabronero J, Tejos C. Fast nonlinear susceptibility inversion with variational regularization. Magnetic resonance in medicine. 2018;80(2):814-821.