[Application of Deep Learning Reconstruction Algorithm in Low-Dose Thin-Slice Liver CT of Healthy Volunteers].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Published Date: Sep 1, 2021

Abstract

OBJECTIVE: To explore the clinical feasibility of applying deep learning (DL) reconstruction algorithm in low-dose thin-slice liver CT examination of healthy volunteers by comparing the reconstruction algorithm based on DL, filtered back projection (FBP) reconstruction algorithm and iterative reconstruction (IR) algorithm.

Authors

  • Ling-Ming Zeng
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Xu Xu
    College of Chemistry, Liaoning University, Shenyang, 110036, China.
  • Wen Zeng
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
  • Wan-Lin Peng
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Jin-Ge Zhang
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Si-Xian Hu
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Ke-Ling Liu
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Chun-Chao Xia
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Zhen-Lin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.

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