Deep learning reconstruction for lumbar spine MRI acceleration: a prospective study.

Journal: European radiology experimental
Published Date: Jun 21, 2024

Abstract

BACKGROUND: We compared magnetic resonance imaging (MRI) turbo spin-echo images reconstructed using a deep learning technique (TSE-DL) with standard turbo spin-echo (TSE-SD) images of the lumbar spine regarding image quality and detection performance of common degenerative pathologies.

Authors

  • Hui Tang
    Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Ming Hong
    School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 10 Sassoon Road, Pokfulam, Hong Kong, China. hong1986@connect.hku.hk.
  • Lu Yu
    State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Huaxi District, Guiyang 550025, China.
  • Yang Song
    Biomedical and Multimedia Information Technology (BMIT) Research Group, School of IT, University of Sydney, NSW 2006, Australia. Electronic address: yson1723@uni.sydney.edu.au.
  • Mengqiu Cao
    School of Architecture and Cities, University of Westminster, London, UK.
  • Lei Xiang
    Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
  • Yan Zhou
    Department of Computer Science, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Shiteng Suo
    Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127.

Keywords

External Resources

Popular Topics
Recent Journals