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Abstract #4342

High-resolution distortion-free single-shot EPI enabled by deep-learning

Zhangxuan Hu1, Zhe Zhang2, Yishi Wang3, Yajing Zhang4, and Hua Guo1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2China National Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 3Philips Healthcare, Beijing, China, 4MR Clinical Science, Philips Healthcare (Suzhou), Suzhou, China

Single-shot EPI (SS-EPI) is widely used for diffusion-weighted imaging (DWI), but suffers from susceptibility-induced distortion and T2* blurring, which limit its resolution and ability to detect detailed structures. Parallel imaging and multi-shot techniques can be used to improve the resolution and reduce image distortion. However, these techniques have their own drawbacks, such as limited achievable acceleration factors or prolonged acquisition time. In this study, a deep-learning based method is proposed to achieve high-resolution distortion-free DWI using SS-EPI thus to improve the acquisition efficiency and clinical applicability.

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