Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume.

Journal: European journal of radiology
Published Date: Feb 15, 2022

Abstract

PURPOSE: To investigate the image quality and feasibility of a novel artificial intelligence iterative reconstruction (AIIR) algorithm for aortic computer tomography angiography (CTA) with a low radiation dose and contrast material (CM) dosage protocol in comparison with hybrid iterative reconstruction (HIR) algorithm for standard-of-care aortic CTA.

Authors

  • Wanjiang Li
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Yongchun You
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Sihua Zhong
    Research Center Institute, United Imaging Healthcare, Shanghai, China.
  • Tao Shuai
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Kai Liao
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Jianqun Yu
    Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
  • Jin Zhao
    Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, 36 Lazi East Road, Tianfu New Area, Chengdu, 610000, China.
  • Zhenlin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
  • Chunyan Lu
    Department of Endocrinology, West China Hospital, Sichuan University, Chengdu, China.

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