[Deep Learning Reconstruction Algorithm Combined With Smart Metal Artifact Reduction Technique Improves Image Quality of Upper Abdominal CT in Critically Ill Patients].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
PMID: 39990832

Abstract

OBJECTIVE: To evaluate the effect of deep learning reconstruction algorithm combined with smart metal artifact reduction (DLMAR) on the quality of abdominal CT images in critically ill patients who are unable to raise their arms and require electrocardiographic (ECG) monitoring.

Authors

  • Yunlong Pan
    （ 610041） Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Xiaoling Yao
    Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Ronghui Gao
    Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
  • Wei Xie
    Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN 37232, United States of America.
  • Chunchao Xia
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhenlin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
  • Huaiqiang Sun
    Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, China.

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