Multiparametric mapping in the brain from conventional contrast-weighted images using deep learning.

Journal: Magnetic resonance in medicine
PMID:

Abstract

PURPOSE: To develop a deep-learning-based method to quantify multiple parameters in the brain from conventional contrast-weighted images.

Authors

  • Shihan Qiu
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Yuhua Chen
  • Sen Ma
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Zhaoyang Fan
  • Franklin G Moser
    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Marcel M Maya
    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Anthony G Christodoulou
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Yibin Xie
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Debiao Li