Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: Multiple b-value gas diffusion-weighted MRI (DW-MRI) enables non-invasive and quantitative assessment of lung morphometry, but its long acquisition time is not well-tolerated by patients. We aimed to accelerate multiple b-value gas DW-MRI for lung morphometry 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.
  • Xiuchao Zhao
    Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, 430071, People's Republic of China.
  • Dongshan Han
    Department of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
  • Xianping Sun
  • 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.