Submillimeter MR fingerprinting using deep learning-based tissue quantification.

Journal: Magnetic resonance in medicine
Published Date: Dec 19, 2019

Abstract

PURPOSE: To develop a rapid 2D MR fingerprinting technique with a submillimeter in-plane resolution using a deep learning-based tissue quantification approach.

Authors

  • Zhenghan Fang
  • Yong Chen
    Department of Urology, Chongqing University Fuling Hospital, Chongqing, China.
  • Sheng-Che Hung
    Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Xiaoxia Zhang
    Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Weili Lin
    Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Dinggang Shen
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.

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