Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
360-02-014 ISMRM Abstract

Deep Learning–Based Phase Correction (DLPC) based Ultra-High B-value Diffusion MRI on Whole-body Scanners

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Diffusion - Diffusion Reconstruction
360-02-014 · Machine Learning for Image Reconstruction · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row A
Keywords: Deep Learning Based Phase Correction Ultra-high b-value
Accepted
Yifei Zhang1, Jialu Zhang1, Yuhui Xiong2, Yang Fan1, Lizhi Xie1, Sicong Wang1, Ruicheng Ba1, Patricia Lan3, Xinzeng Wang4, Xiao-Yuan Fan5, Tiebao Meng6, Chuanmiao Xie6, Feng Feng5, Bing Wu 1
1GE Healthcare, Beijing, China
2GE HealthCare MR Research, Beijing, China
3GE HealthCare (Menlo Park, US), Menlo Park, United States of America
4GE Healthcare, Houston, United States of America
5Peking Union Medical College Hospital, Beijing, China
6Department of Radiology, Sun yat-sen university cancer center, Guangzhou, China
Presenting Author: Bing Wu

Synopsis

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References

1. Ramos-Llordén G, Lee HH, Davids M, Dietz P, Krug A, Kirsch JE, Mahmutovic M, Müller A, Ma Y, Lee H, Maffei C, Yendiki A, Bilgic B, Park DJ, Tian Q, Clifford B, Lo WC, Stocker S, Fischer J, Ruyters G, Roesler M, Potthast A, Benner T, Rummert E, Schuster R, Basser PJ, Witzel T, Wald LL, Rosen BR, Keil B, Huang SY. Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales. Nat Biomed Eng. 2025 Jul 16. doi: 10.1038/s41551-025-01457-x. Epub ahead of print. Erratum in: Nat Biomed Eng. 2025 Jul 22. doi: 10.1038/s41551-025-01484-8. PMID: 40670720. [doi] [pmid]
2. Chen Q, Fang S, Yuchen Y, Li R, Deng R, Chen Y, Ma D, Lin H, Yan F. Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value. Eur J Radiol. 2023 Nov;168:111149. doi: 10.1016/j.ejrad.2023.111149. Epub 2023 Oct 13. PMID: 37862927. [doi] [pmid]
3. Zhang X, Xu X, Wang Y, Zhang J, Hu M, Zhang J, Zhang L, Wang S, Li Y, Zhao X, Chen Y. Reduced field-of-view DWI based on deep learning reconstruction improving diagnostic accuracy of VI-RADS for evaluating muscle invasion. Insights Imaging. 2024 Jun 9;15(1):139. doi: 10.1186/s13244-024-01686-9. PMID: 38853219; PMCID: PMC11162985. [doi] [pmid]
4. Wang X, Litwiller D, Guidon A, Lan PS, Sprenger T. Robust complex signal averaging for diffusion weighted imaging. In: Proceedings of the 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Toronto, Canada; 2023; #3963.
5. Xu J. Probing neural tissues at small scales: Recent progress of oscillating gradient spin echo (OGSE) neuroimaging in humans. J Neurosci Methods. 2021 Feb 1;349:109024. doi: 10.1016/j.jneumeth.2020.109024. Epub 2020 Dec 14. PMID: 33333089; PMCID: PMC10124150. [doi] [pmid]
6. Palombo M, Ianus A, Guerreri M, Nunes D, Alexander DC, Shemesh N, Zhang H. SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. Neuroimage. 2020 Jul 15;215:116835. doi: 10.1016/j.neuroimage.2020.116835. Epub 2020 Apr 11. Erratum in: Neuroimage. 2021 Feb 1;226:117612. doi: 10.1016/j.neuroimage.2020.117612. PMID: 32289460; PMCID: PMC8543044. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/360-02-014