Simultaneous superresolution reconstruction and distortion correction for single-shot EPI DWI using deep learning.

Journal: Magnetic resonance in medicine
PMID: 36705077

Abstract

PURPOSE: Single-shot (SS) EPI is widely used for clinical DWI. This study aims to develop an end-to-end deep learning-based method with a novel loss function in an improved network structure to simultaneously increase the resolution and correct distortions for SS-EPI DWI.

Authors

  • XinYu Ye
    School of Computer Science and Engineering, North Minzu University, Yinchuan 750021, China.
  • Peipei Wang
    Department of Plant Biology, Michigan State University, East Lansing, MI, USA.
  • Sisi Li
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Jieying Zhang
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Yuan Lian
    School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Yajing Zhang
    MR Clinical Science, Philips Healthcare (Suzhou), Suzhou, China.
  • Jie Lu
    Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.
  • Hua Guo
    Zhumadian Psychiatric Hospital, Zhumadian 463000, Henan, China.

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