Deep learning-based MR fingerprinting ASL ReconStruction (DeepMARS).

Journal: Magnetic resonance in medicine
Published Date:

Abstract

PURPOSE: To develop a reproducible and fast method to reconstruct MR fingerprinting arterial spin labeling (MRF-ASL) perfusion maps using deep learning.

Authors

  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Pan Su
    The Russell H. Morgan, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Zhensen Chen
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Ying Liao
    Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
  • Shuo Chen
    Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
  • Rui Guo
    College of Chemistry&Chemical Engineering, Xiamen University, Xiamen 361005, China.
  • Haikun Qi
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, London, United Kingdom.
  • Xuesong Li
    Department of Chemistry, University of Wyoming, Laramie, WY, United States.
  • Xue Zhang
    School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Zhangxuan Hu
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Hanzhang Lu
    The Russell H. Morgan, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Huijun Chen
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China. Electronic address: chenhj_cbir@mail.tsinghua.edu.cn.