Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
664-04-010 ISMRM Abstract

Joint image and coils estimation using self-diffusion

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling
664-04-010 · Image Reconstruction: Self-Supervised and Implicit · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row E
Keywords: Diffusion Reconstruction Image Reconstruction Machine Learning/Artificial Intelligence Computation model Deep learning
Accepted
Guanxiong Luo 1,2, Yanlong Yang3, Xiaoqing Wang2
1Luxembourg Institute of Health, Luxembourg, Luxembourg
2Department of Radiology, Harvard Medical School, Boston, United States of America
3James Cook University, Townsville, Australia
Presenting Author: Guanxiong Luo

Synopsis

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References

1. Yang Y, Sun J, Li H, Xu Z. Deep ADMM-Net for compressive sensing MRI. Advances in Neural Information Processing Systems. Curran Associates, Inc.; 2016.
2. Hammernik K, Klatzer T, Kobler E, et al. Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med. 2017;79:3055-3071.
3. Jalal A, Arvinte M, Daras G, Price E, Dimakis AG, Tamir J. Robust compressed sensing MRI with deep generative priors. Advances in Neural Information Processing Systems. Curran Associates, Inc.; 2021.
4. Luo G, Blumenthal M, Heide M, Uecker M. Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models. Magn. Reson. Med. 2023; 90: 295–311.
5. Luo G, Huang S. Self-diffusion for solving inverse problems. Advances in Neural Information Processing Systems. Curran Associates, Inc.; 2025.
6. Lustig M, Donoho D, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn. Reson. Med. 2007; 58: 1182–1195.
7. Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M. ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magn. Reson. Med. 2014; 71: 990–1001.
8. Uecker M, Hohage T, Block KT, Frahm J. Image reconstruction by regularized nonlinear inversion—Joint estimation of coil sensitivities and image content. Magn. Reson. Med. 2008; 60: 674–682.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/664-04-010