Single-shot EPI is widely used for clinical DWI acquisitions. However, due to the limited bandwidth along PE direction, the obtained images suffer from distortion and blurring, which limits its diagnosis capability. Here we propose a deep learning-based method to simultaneously increase resolution and correct distortions for SSh-EPI. In-vivo DWI data are used to test the proposed method. The results show that distortion-corrected high-resolution DWI images can be reconstructed from low-resolution SSh-EPI images and high-resolution anatomical images.
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