Preclinical validation of a novel deep learning-based metal artifact correction algorithm for orthopedic CT imaging.

Journal: Journal of applied clinical medical physics
Published Date: Oct 3, 2023

Abstract

PURPOSE: To validate a novel deep learning-based metal artifact correction (MAC) algorithm for CT, namely, AI-MAC, in preclinical setting with comparison to conventional MAC and virtual monochromatic imaging (VMI) technique.

Authors

  • Rui Guo
    College of Chemistry&Chemical Engineering, Xiamen University, Xiamen 361005, China.
  • Yixuan Zou
    United Imaging Healthcare, Shanghai, China.
  • Shuai Zhang
    School of Information, Zhejiang University of Finance and Economics, Hangzhou, China.
  • Jiajia An
    Department of Radiology, Xinjiang Production & Construction Corps Hospital, Urumqi, China.
  • Guozhi Zhang
    Department of Radiology, KU Leuven University Hospitals Leuven, Leuven, Belgium.
  • Xiangdong Du
    Department of Radiology, Xinjiang Production & Construction Corps Hospital, Urumqi, China.
  • Huan Gong
    Department of Radiology, Xinjiang Production & Construction Corps Hospital, Urumqi, China.
  • Sining Xiong
    Department of Radiology, Xinjiang Production & Construction Corps Hospital, Urumqi, China.
  • Yangfei Long
    Department of Radiology, Xinjiang Production & Construction Corps Hospital, Urumqi, China.
  • Jing Ma
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.

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