Application of deep learning image reconstruction in low-dose chest CT scan.

Journal: The British journal of radiology
Published Date: Jan 31, 2022

Abstract

OBJECTIVE: Deep learning image reconstruction (DLIR) is a new reconstruction method for maintaining image quality at reduced radiation dose. The purpose of this study was to compare image quality of reduced-dose DLIR images with the standard-dose adaptive statistical iterative reconstruction (ASIR-V) images in chest CT.

Authors

  • Huang Wang
    Department of Radiology, the Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Lu-Lu Li
    Department of Radiology, the Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Jin Shang
    Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Jian Song
    School of International Studies, Sun Yat-sen University, Guangzhou, China.
  • Bin Liu
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Endocrinology, Neijiang First People's Hospital, Chongqing, China.

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