Global attention-enabled texture enhancement network for MR image reconstruction.

Journal: Magnetic resonance in medicine
Published Date: Jun 29, 2023

Abstract

PURPOSE: Although recent convolutional neural network (CNN) methodologies have shown promising results in fast MR imaging, there is still a desire to explore how they can be used to learn the frequency characteristics of multicontrast images and reconstruct texture details.

Authors

  • Yingnan Li
    College of Electronics and Information, Qingdao University, Qingdao, Shandong, China.
  • Jie Yang
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Teng Yu
    Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Jieru Chi
    College of Electronics and Information, Qingdao University, Qingdao, Shandong, China.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.

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