Magnetic resonance parameter mapping using model-guided self-supervised deep learning.

Journal: Magnetic resonance in medicine
Published Date: Jan 19, 2021

Abstract

PURPOSE: To develop a model-guided self-supervised deep learning MRI reconstruction framework called reference-free latent map extraction (RELAX) for rapid quantitative MR parameter mapping.

Authors

  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.
  • Richard Kijowski
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Georges El Fakhri
  • Li Feng
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.

Keywords

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