Accelerating multi-echo chemical shift encoded water-fat MRI using model-guided deep learning.

Journal: Magnetic resonance in medicine
Published Date: Jun 1, 2022

Abstract

PURPOSE: To accelerate chemical shift encoded (CSE) water-fat imaging by applying a model-guided deep learning water-fat separation (MGDL-WF) framework to the undersampled k-space data.

Authors

  • Shuo Li
    Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Chenfei Shen
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Zekang Ding
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Huajun She
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Yiping P Du
    Institute for Medical Imaging Technology (IMIT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. Electronic address: yipingdu@sjtu.edu.cn.

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