Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-04-014 ISMRM Abstract

Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning

Primary: Diffusion - Diffusion Reconstruction
Secondary: Body - Liver
662-04-014 · Artificial Intelligence-Based Image Reconstruction in the Body · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row C
Keywords: Deep learning reconstruction Diffusion-Weighted Imaging Synthetic data Liver DWI Multi-shot EPI DWI
Accepted
Chen Qian 1, Haoyu Zhang2, Junnan Ma3, Ke Jiang4, Mingyang Han5, xianwang jiang5, Lv Li5, Yingsa Li6, Qin Xu5, Hai Zhong3, Xiaobo Qu1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
2Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, China
3Department of Radiology, The Second Hospital of Shandong University, Jinan, China
4MRI Products Business Unit, Neusoft Medical Systems Co. Ltd, Beijing, China
5Neusoft Medical Systems, Shanghai, China
6MRI Products Business Unit, Neusoft Medical Systems Co. Ltd, Shenyang, China
Presenting Author: Chen Qian

Synopsis

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References

1. Jones, D. K. Diffusion MRI, Oxford University Press, 2010.
2. Barrett, T. et al. Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway. Nature Reviews Urology 20, 9-22 (2023).
3. An, H., Ma, X., Pan, Z., Guo, H. & Lee, E. Y. P. Qualitative and quantitative comparison of image quality between single-shot echo-planar and interleaved multi-shot echo-planar diffusion-weighted imaging in female pelvis. European Radiology 30, 1876-1884 (2020).
4. Mani, M., Jacob, M., Kelley, D. & Magnotta, V. Multi‐shot sensitivity‐encoded diffusion data recovery using structured low‐rank matrix completion (MUSSELS). Magnetic Resonance in Medicine 78, 494-507 (2017).
5. Lobos, R. A. et al. Robust autocalibrated structured low-rank EPI ghost correction. Magnetic Resonance in Medicine 85, 3403-3419 (2021).
6. Qian, C. et al. A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging. IEEE Transactions on Biomedical Engineering 70, 3425-3435 (2023).
7. Lee, P. K., Zhou, X. & Hargreaves, B. A. Robust multishot diffusion‐weighted imaging of the abdomen with region‐based shot rejection. Magnetic Resonance in Medicine 92, 519-531 (2024).
8. He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 770-778 (2016).
9. Hu, Y. et al. Motion‐robust reconstruction of multishot diffusion‐weighted images without phase estimation through locally low‐rank regularization. Magnetic Resonance in Medicine 81, 1181-1190 (2019).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/662-04-014