Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
666-02-012 ISMRM Abstract

Can Multi-Parametric Mapping Sequences be Used for Conductivity Mapping? A feasibility test in Parkinson’s Disease

Primary: Contrast Mechanisms - Electromagnetic Tissue Properties
Secondary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
666-02-012 · Multiparametric Quantitative MR Methods · Thursday, 14 May, 9:25 AM–10:20 AM · Digital Posters Row G
Keywords: Image Reconstruction Parkinson's Disease Multi-parametric mapping Electrical properties tomography (EPT) Quantitative Conductivity Mapping
Accepted
Yirun Wang1, Jierong Luo 1, Philippa Sha1, George E Thomas2, Rimona S Weil2, Karin Shmueli1
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
2Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, United Kingdom
Presenting Author: Jierong Luo

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References

1. Berg RC, Leutritz T, Weiskopf N, Preibisch C. Multi-parameter quantitative mapping of R1, R2*, PD, and MTsat is reproducible when accelerated with Compressed SENSE. Neuroimage. 2022;253:119092. doi:10.1016/j.neuroimage.2022.119092 [doi]
2. Katscher U, van den Berg CAT. Electric properties tomography: Biochemical, physical and technical background, evaluation and clinical applications. NMR Biomed. 2017;30(8):10.1002/nbm.3729. doi:10.1002/nbm.3729 [doi]
3. Meerbothe TG, Meliado EF, Stijnman PRS, van den Berg CAT, Mandija S. A database for MR-based electrical properties tomography with in silico brain data-ADEPT. Magn Reson Med. 2024;91(3):1190-1199. doi:10.1002/mrm.29904 [doi]
4. Liu T, Wisnieff C, Lou M, Chen W, Spincemaille P, Wang Y. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping. Magn Reson Med. 2013;69(2):467-476. doi:10.1002/mrm.24272 [doi]
5. Karsa A, Shmueli K. SEGUE: A Speedy rEgion-Growing Algorithm for Unwrapping Estimated Phase. IEEE Trans Med Imaging. 2019;38(6):1347-1357. doi:10.1109/TMI.2018.2884093 [doi]
6. Ashburner J, Friston KJ. Unified segmentation. Neuroimage. 2005;26(3):839-851. doi:10.1016/j.neuroimage.2005.02.018 [doi]
7. Karsa A, Shmueli K. New Approaches for Simultaneous Noise Suppression and Edge Preservation to Achieve Accurate Quantitative Conductivity Mapping in Noisy Images. ISMRM & SMRT 29th Annual Meeting, Abstract no. 3774; 2021
8. Gabriel S, Lau RW, Gabriel C. The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Phys Med Biol. 1996;41(11):2271-2293. doi:10.1088/0031-9155/41/11/003 [doi]
9. Kiersnowski OC, et al. Rapid high-resolution integrated structural and functional susceptibility and conductivity mapping in the human brain. ISMRM & SMRT 32nd Annual Meeting, Abstract no. 0188; 2024.

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http://echo.ismrm.org/p/ISMRM2026/666-02-012