Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
664-04-006 ISMRM Abstract

Pseudo-High-Field Reconstruction of Low-Field MRI via Dual-Domain Rectified Flow and Self-Supervised Multi-Coil Learning

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Diffusion - Diffusion Reconstruction
664-04-006 · Image Reconstruction: Self-Supervised and Implicit · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row E
Keywords: Low-Field MRI Self-supevised learning Pseudo-high-field reconstruction Dual-domain learning
Accepted
Yuzhu He1,2, Zehua Ren 2,3, Xinmei Qiu1,2, Kehan Li2,3, Fan Wang2,3, Jianhua Ma2,3,4, Chunfeng Lian1,2,4
1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China
2Research Center for Intelligent Medical Equipment and Devices (IMED), Xi'an Jiaotong University, Xi'an, China
3Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
4Pazhou Lab (Huangpu), Guangzhou, China
Presenting Author: Zehua Ren

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References

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4. Patil, Pawan, et al. "Improved image reconstruction in MRI using deep learning techniques." AIP Conference Proceedings. Vol. 3227. No. 1. AIP Publishing LLC, 2025. https://doi.org/10.1063/5.0243870 [doi]
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7. Cui, Zhuo-Xu, et al. "Self-score: Self-supervised learning on score-based models for mri reconstruction." arXiv preprint arXiv:2209.00835 (2022). https://doi.org/10.48550/ARXIV.2209.00835 [doi]
8. Liu, Xingchao, Chengyue Gong, and Qiang Liu. "Flow straight and fast: Learning to generate and transfer data with rectified flow." arXiv preprint arXiv:2209.03003 (2022). https://doi.org/10.48550/arXiv.2209.03003 [doi]
9. Tohidul Islam, K., Zhong, S., Peiris, H., Zakavi, P., Dayarathna, S., & Chen, Z. (2025). Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging (ULF-EnC). Medical Image Computing and Computer Assisted Intervention 2025 (MICCAI). Zenodo. https://doi.org/10.5281/zenodo.15259777 [doi]
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11. Knoll, Florian, et al. "fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning." Radiology: Artificial Intelligence 2.1 (2020): e190007. https://doi.org/10.1148/ryai.2020190007 [doi]
12. Fischl, Bruce. "FreeSurfer." Neuroimage 62.2 (2012): 774-781. https://doi.org/10.1016/j.neuroimage.2012.01.021 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/664-04-006