Effect of adaptive statistical iterative reconstruction-V algorithm and deep learning image reconstruction algorithm on image quality and emphysema quantification in COPD patients under ultra-low-dose conditions.

Journal: The British journal of radiology
PMID: 39862404

Abstract

PURPOSE: To explore the effect of different reconstruction algorithms (ASIR-V and DLIR) on image quality and emphysema quantification in chronic obstructive pulmonary disease (COPD) patients under ultra-low-dose scanning conditions.

Authors

  • Guangming Ma
    Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
  • Yuequn Dou
    Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
  • Shan Dang
    Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
  • Nan Yu
    Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
  • Yanbing Guo
    Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
  • Dong Han
    Department of Radiology, Affiliated Hospital of Chengde Medical College, Chengde Hebei, 067000, P.R.China.
  • Chenwang Jin
    Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China.

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