Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

@inproceedings{Hu2021SelfsupervisedLF,
  title={Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework},
  author={Chen Hu and Cheng Li and Haifeng Wang and Qiegen Liu and Hairong Zheng and Shanshan Wang},
  booktitle={MICCAI},
  year={2021}
}
  • Chen Hu, Cheng Li, +3 authors Shanshan Wang
  • Published in MICCAI 26 September 2021
  • Computer Science, Engineering
Image reconstruction from undersampled k-space data plays an important role in accelerating the acquisition of MR data, and a lot of deep learning-based methods have been exploited recently. Despite the achieved inspiring results, the optimization of these methods commonly relies on the fully-sampled reference data, which are time-consuming and difficult to collect. To address this issue, we propose a novel selfsupervised learning method. Specifically, during model optimization, two subsets are… Expand

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