Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
430-03-003 ISMRM Abstract

SSCU: Self-Supervised deep learning via Coil Undersampling for model-based MRI reconstruction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - AI methods
430-03-003 · Advanced Image Reconstruction · Tuesday, 12 May, 1:40 PM–3:30 PM · Meeting Room 2.60
Keywords: Parallel Imaging Deep learning reconstruction Unrolled Networks and Reconstruction Self-supervised learning Low field
Accepted
Tongxi Song1,2, Zihan Li1, Qiyuan Tian1, Wenchuan Wu3, Ziyu Li 3
1School of Biomedical Engineering, Tsinghua University, Beijing, China
2Tanwei College, Tsinghua University, Beijing, China
3Oxford Centre for Integrative Neuroimaging, FMRIB Centre, University of Oxford, United Kingdom
Presenting Author: Ziyu Li

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References

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8. Lustig, M., & Pauly, J. M. (2010). SPIRiT: iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space. Magnetic resonance in medicine, 64(2), 457-471. https://doi.org/10.1002/mrm.22428 [doi]
9. Lyu, M., Mei, L., Huang, S. et al. M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research. Sci Data 10, 264 (2023). https://doi.org/10.1038/s41597-023-02181-4 [doi]
10. Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S. and Lustig, M. (2014), ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magn. Reson. Med., 71: 990-1001. https://doi.org/10.1002/mrm.24751 [doi]
11. Blumenthal, M., Heide, M., Holme, C., Juschitz, M., Rapp, B., Schaten, P., Scholand, N., Tamir, J., Tönnes, C., & Uecker, M. (2023). mrirecon/bart: version 0.9.00 (0.9.00). Zenodo. https://doi.org/10.5281/zenodo.10277939 [doi]

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http://echo.ismrm.org/p/ISMRM2026/430-03-003