Clinical validation of an AI-based motion correction reconstruction algorithm in cerebral CT.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To evaluate the clinical performance of an artificial intelligence (AI)-based motion correction (MC) reconstruction algorithm for cerebral CT.

Authors

  • Leilei Zhou
    Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Yi-Xuan Zou
    United Imaging Healthcare Co., Ltd., Shanghai, China.
  • Guozhi Zhang
    Department of Radiology, KU Leuven University Hospitals Leuven, Leuven, Belgium.
  • Bin Su
    Department of Chemistry, Cleveland State University, USA.
  • Liyan Lu
    Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China.
  • Yu-Chen Chen
    Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Xindao Yin
    Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Hong-Bing Jiang
    Department of Medical Equipment, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China. cmdjhb@126.com.