Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
568-06-006 ISMRM Abstract

GROG-facilitated Diffusion Model Reconstruction with 3D Data Consistency for Accelerated Non-Cartesian MRI

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - Image Reconstruction: Non-AI
568-06-006 · Image Reconstruction II · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row I
Keywords: Diffusion Modeling UTE-MRI Non-Cartesian MRI Self-calibrating GROG
Accepted
Zihao Chen1, Guangyu Dan1, Vips Patel2, Qi Liu 1, Hongyu Li1
1United Imaging Healthcare North America, Houston, United States of America
2Diagnostic and Interventional Imaging, University of Texas Medical School, United States of America
Presenting Author: Qi Liu

Synopsis

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References

1. Speidel, Tobias, Craig H. Meyer, and Volker Rasche. "Non-cartesian imaging." Advances in Magnetic Resonance Technology and Applications. Vol. 6. Academic Press, 2022. 481-498.
2. Afsahi, Amir Masoud, et al. "Ultrashort echo time magnetic resonance imaging techniques: met and unmet needs in musculoskeletal imaging." Journal of Magnetic Resonance Imaging 55.6 (2022): 1597-1612.
3. Webber, George, and Andrew J. Reader. "Diffusion models for medical image reconstruction." BJR| Artificial Intelligence 1.1 (2024): ubae013.
4. Seiberlich N, Breuer F, Blaimer M, Jakob P, Griswold M. Self-calibrating GRAPPA operator gridding for radial and spiral trajectories. Magn Reson Med. 2008 Apr;59(4):930-5. doi: 10.1002/mrm.21565. PMID: 18383296. [doi] [pmid]
5. Song, Yang, et al. "Score-based generative modeling through stochastic differential equations." arXiv preprint arXiv:2011.13456 (2020).
6. Lustig, Michael, et al. "Compressed sensing MRI." IEEE signal processing magazine 25.2 (2008): 72-82.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/568-06-006