Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
561-04-001 ISMRM Abstract

Accelerating MRI reconstruction with cross feature fusion variational network

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - AI methods
561-04-001 · Deep Learning Meets k-Space: New Frontiers in Reconstruction · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row B
Keywords: Parallel Imaging AI/ML Image Reconstruction Image Reconstruction Deep unrolling network
Accepted
Xihui Ju1, Jian He1, zhongjie jia1, zhenzhen wang1, wang du1, jingchao zhang1, shuangfeng dai1, Hongbin Wang 1
1Beijing Wandong Medical Technology Co., Ltd, Beijing, China
Presenting Author: Hongbin Wang

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. 1. Griswold MA, Jakob PM, Heidemann RM, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magnetic Resonance in Med. 2002;47(6):1202-1210. doi:10.1002/mrm.10171 [doi]
2. 2. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: Sensitivity encoding for fast MRI. Magn Reson Med. 1999;42(5):952-962. doi:10.1002/(SICI)1522-2594(199911)42:5%3C952::AID-MRM16%3E3.0.CO;2-S [doi]
3. 3. Lustig M, Pauly JM. SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k ‐space. Magnetic Resonance in Med. 2010;64(2):457-471. doi:10.1002/mrm.22428 [doi]
4. 4. Donoho DL. Compressed sensing. IEEE Trans Inform Theory. 2006;52(4):1289-1306. doi:10.1109/TIT.2006.871582 [doi]
5. 5. Sriram A, Zbontar J, Murrell T, et al. End-to-End Variational Networks for Accelerated MRI Reconstruction. April 2020. doi:10.48550/arXiv.2004.06688 [doi]
6. 6. Fabian Z, Tinaz B, Soltanolkotabi M. HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction. March 2023. doi:10.48550/arXiv.2203.08213 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/561-04-001