The clinical feasibility of artificial intelligence-assisted compressed sensing single-shot fluid-attenuated inversion recovery (ACS-SS-FLAIR) for evaluation of uncooperative patients with brain diseases: comparison with the conventional T2-FLAIR with parallel imaging.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published Date: Nov 24, 2022

Abstract

BACKGROUND: Satisfactory magnetic resonance imaging (MRI) of those patients with involuntary head motion due to brain diseases is essential in avoiding missed diagnosis and guiding treatment.

Authors

  • Kai Liu
    College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.
  • Bin Xi
    Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, PR China.
  • Haitao Sun
    State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, PR China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Caizhong Chen
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, PR China.
  • Xixi Wen
    Shanghai United Imaging Intelligence Co., Ltd, Shanghai, PR China.
  • Yunfei Zhang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Mengsu Zeng
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.

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