Direct synthesis of multi-contrast brain MR images from MR multitasking spatial factors using deep learning.

Journal: Magnetic resonance in medicine
Published Date:

Abstract

PURPOSE: To develop a deep learning method to synthesize conventional contrast-weighted images in the brain from MR multitasking spatial factors.

Authors

  • Shihan Qiu
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Sen Ma
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Lixia Wang
    Department of Radiology, Chaoyang Hospital, Beijing, China.
  • Yuhua Chen
  • Zhaoyang Fan
  • Franklin G Moser
    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Marcel Maya
    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Pascal Sati
    Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
  • Nancy L Sicotte
    Department of Neurology, 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