Fast and accurate reconstruction of human lung gas MRI with deep learning.

Journal: Magnetic resonance in medicine
PMID:

Abstract

PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.

Authors

  • Caohui Duan
    State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan, P. R. China.
  • He Deng
  • Sa Xiao
    Department of Ophthalmology, University of Washington, Seattle, Washington, USA.
  • Junshuai Xie
    State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan, P. R. China.
  • Haidong Li
    State Key Laboratory of Fine Chemicals , Dalian University of Technology , 2 Linggong Road , Dalian 116024 , P. R. China . Email: fanjl@dlut.edu.cn.
  • Xianping Sun
  • Lin Ma
    Department of Radiation Oncology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States.
  • Xin Lou
    College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China.
  • Chaohui Ye
  • Xin Zhou
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.