A deep learning method for eliminating head motion artifacts in computed tomography.

Journal: Medical physics
Published Date: Dec 10, 2021

Abstract

PURPOSE: Involuntary patient movement results in data discontinuities during computed tomography (CT) scans which lead to a serious degradation in the image quality. In this paper, we specifically address artifacts induced by patient motion during a head scan.

Authors

  • Bin Su
    Department of Chemistry, Cleveland State University, USA.
  • Yuting Wen
  • Yanyan Liu
    Linyi City Lanshan Economic and Information Technology Bureau, Linyi, Shandong, China.
  • Shu Liao
  • Jianwei Fu
    Institute of Quality Standards & Testing Technology for Agro-products, Fujian Academy of Agricultural Sciences/ Fujian Key Laboratory of Agro-products Quality and Safety, Fuzhou, 350003, China.
  • Guotao Quan
  • Zhenlin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.

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