Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
304-02-003 ISMRM Abstract

Joint k–q–TE Reconstruction of Diffusion MRI using an Implicit Neural Representation

Primary: Diffusion - Diffusion Reconstruction
Secondary: Acquisition & Reconstruction - AI methods
304-02-003 · Diffusion Acquisition and Reconstruction · Monday, 11 May, 8:20 AM–10:10 AM · Ballroom East
Accepted
Yunqi Wang1, Qiang Liu1,2, William Consagra3, Jiezhang Cao1, Haijin Zeng1, Yiang Pan1,4, Lipeng Ning1, Yogesh Rathi 1
1Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
2College of Engineering, Northeastern University, Boston, United States of America
3Medical University of South Carolina, Charleston, United States of America
4Zhejiang University of Technology, Hangzhou, China
Presenting Author: Yogesh Rathi

Synopsis

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References

1. Ji, Yang, et al. "Joint reconstruction of multi-TE diffusion MRI acquired using TDM-EPI with complementary k-space sampling.".
2. Pruessmann, Klaas P., et al. "SENSE: sensitivity encoding for fast MRI." Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 42.5 (1999): 952-962.
3. Griswold, Mark A., et al. "Generalized autocalibrating partially parallel acquisitions (GRAPPA)." Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 47.6 (2002): 1202-1210.
4. Bilgic, Berkin, et al. "Robust high-quality multi-shot EPI with low-rank prior and machine learning." Proc Int Soc Magn Reson Med. Vol. 1250. 2019.
5. Ning, Lipeng, et al. "Joint relaxation-diffusion imaging moments to probe neurite microstructure." IEEE transactions on medical imaging 39.3 (2019): 668-677.
6. Mani, Merry, Vincent A. Magnotta, and Mathews Jacob. "qModeL: A plug‐and‐play model‐based reconstruction for highly accelerated multi‐shot diffusion MRI using learned priors." Magnetic resonance in medicine 86.2 (2021): 835-851.
7. Ye, Xinyu, Karla L. Miller, and Wenchuan Wu. "Accelerated multi‐shell diffusion MRI with Gaussian process estimated reconstruction of multi‐band imaging." Magnetic Resonance in Medicine (2025).
8. Consagra, William, Lipeng Ning, and Yogesh Rathi. "Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI." Medical Image Analysis 93 (2024): 103105.
9. Hendriks, Tom, et al. "Implicit neural representations for accurate estimation of the standard model of white matter." arXiv preprint arXiv:2506.15762 (2025).
10. Ji, Yang, et al. "Accelerating joint relaxation‐diffusion MRI by integrating time division multiplexing and simultaneous multi‐slice (TDM‐SMS) strategies." Magnetic resonance in medicine 87.6 (2022): 2697-2709.
11. Liu Q, Gagoski B, Shaik IA, et al. Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements. Magn Reson Med. Published online December 1, 2024. doi:10.1002/mrm.30246 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/304-02-003