0829 ISMRM Abstract

SubZero: Subspace Zero-Shot MRI Reconstruction

0829 · Pitch: Deep Learning Image Reconstruction · Wednesday, 7 June, 8:15 AM–9:15 AM · Power Pitch Theatre 1

Keywords: Image Reconstruction Machine Learning/Artificial Intelligence Deep learning

Accepted

Heng Yu ¹, Yamin Arefeen², Berkin Bilgic^3,4

¹The Robotics Institute, Carnegie Mellon University, Pittsburgh, United States of America

²Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, United States of America

³Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America

⁴Department of Radiology, Harvard Medical School, Boston, United States of America

Presenting Author: Heng Yu

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References

1. Yaman, Burhaneddin, Seyed Amir Hossein Hosseini, and Mehmet Akcakaya. "Zero-Shot Self-Supervised Learning for MRI Reconstruction." International Conference on Learning Representations .

2. Hu, Chen, et al. "Self-supervised learning for mri reconstruction with a parallel network training framework." International Conference on Medical Image Computing and Computer-Assisted Intervention . Springer, Cham, 2021.

3. Yaman, Burhaneddin, et al. "Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data." Magnetic resonance in medicine 84.6 (2020): 3172-3191.

4. Zhang, Molin, et al. “Zero-Shot Self-Supervised Learning for 2D T2-shuffling MRI Reconstruction.” Proceedings of the International Society of magnetic Resonance in Medicine (ISMRM), 2022.

5. Hu, Jie, Li Shen, and Gang Sun. "Squeeze-and-excitation networks." Proceedings of the IEEE conference on computer vision and pattern recognition . 2018.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2023/0829