Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-06-002 ISMRM Abstract

Universal, Scalable Deep-Unrolled Model for Multi-Protocol MRI Reconstruction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - AI methods
560-06-002 · AI Image Processing · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row A
Keywords: Deep learning reconstruction
Accepted
Puyang Wang 1, Pengfei Guo2, Keyi Chai1,3, Jingpu Wu1,3, Zongpai Zhang1, Jinyuan Zhou1, Daguang Xu2, Shanshan Jiang1
1Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, United States of America
2NVIDIA Corporation, Santa Clara, United States of America
3Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, United States of America
Presenting Author: Puyang Wang

Synopsis

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References

1. Uecker M, Lai P, Murphy MJ, et al. ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI. Magn Reson Med. 2014;71(3):990–1001.
2. Aggarwal HK, Mani MP, Jacob M. MoDL: Model-based Deep Learning Architecture for Inverse Problems. IEEE Trans Med Imaging. 2018;37(6):1488–1501.
3. Sriram A, Zbontar J, Murrell T, et al. End-to-end Variational Networks for Accelerated MRI Reconstruction. arXiv:2004.06688 (2020).
4. Zamir SH, Arora A, Khan S, et al. Restormer: Efficient Transformer for High-Resolution Image Restoration. CVPR. 2022:5728–5739.
5. Peebles W, Xie S. Scalable Diffusion Models with Transformers. ICCV. 2023:4195–4205.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-06-002