Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-06-013 ISMRM Abstract

0.55T Prostate Diffusion-Weighted Imaging Using Multi-Shot EPI and Self-Supervised Learning Reconstruction

Primary: Diffusion - Diffusion Reconstruction
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
365-06-013 · Diffusion MRI Reconstruction Methods · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row F
Keywords: Image Reconstruction Prostate Diffusion MRI Unrolled Networks and Reconstruction Self-supervised learning
Accepted
Zhengguo Tan1, Jacob Richardson1, Thomas L Chenevert1, Hero K Hussain1, Michael J Jaroszewicz1, Yun Jiang1,2, Nicole Seiberlich1,2, Vikas Gulani 1
1Department of Radiology, University of Michigan, Ann Arbor, United States of America
2Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
Presenting Author: Vikas Gulani

Synopsis

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References

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2. Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ, et al. PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2. European Urology 2016;69:16-40. doi:10.1016/j.eururo.2015.08.052 [doi]
3. Kelsey LJ, Seiberlich N, Morehouse J, et al. Routine and advanced neurologic imaging at 0.55T MRI: opportunities and challenges. RadioGraphics 2025;45:e240076. doi:10.1148/rg.240076 [doi]
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9. Chen NK, Guidon A, Chang HC, Song AW. A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE). NeuroImage 2013;72:41-47. doi:10.1016/j.neuroimage.2013.01.038 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-06-013