Ultra-low-dose CT lung screening with artificial intelligence iterative reconstruction: evaluation via automatic nodule-detection software.

Journal: Clinical radiology
Published Date: Feb 3, 2023

Abstract

AIM: To test the feasibility of ultra-low-dose (ULD) computed tomography (CT) combined with an artificial intelligence iterative reconstruction (AIIR) algorithm for screening pulmonary nodules using computer-assisted diagnosis (CAD).

Authors

  • L Yang
    Departments of Neurology (L.Y.).
  • H Liu
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
  • J Han
    Guangxi Collaborative Innovation Center for Biomedicine,Life Science Institute,Guangxi Medical University,Nanning 530021, Guangxi,China.
  • S Xu
  • G Zhang
    United Imaging Healthcare, Shanghai, China.
  • Q Wang
    Jiangsu Institute of Poultry Sciences, Yangzhou 225125, China.
  • Y Du
    The Mind Research Network, Albuquerque, NM, USA.
  • F Yang
    Department of Radiation Oncology, University of Washington Medical Center, Seattle, Washington 98195.
  • X Zhao
    Department of Animal Science, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada H9X 3V9.
  • G Shi
    Department of Gastroenterology, The First Affiliated Hospital of Henan University, Kaifeng, Henan Province, China.

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