A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.

Journal: Journal of X-ray science and technology
Published Date: Jan 1, 2021

Abstract

OBJECTIVES: To explore the feasibility of achieving diagnostic images in low-dose abdominal CT using a Deep Learning Image Reconstruction (DLIR) algorithm.

Authors

  • Lu-Lu Li
    Department of Radiology, the Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Huang Wang
    Department of Radiology, the Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Jian Song
    School of International Studies, Sun Yat-sen University, Guangzhou, China.
  • Jin Shang
    Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Xiao-Ying Zhao
    Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 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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