Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.

Journal: European radiology
Published Date: Jan 6, 2022

Abstract

OBJECTIVE: To evaluate the image quality and clinical acceptance of a deep learning reconstruction (DLR) algorithm compared to traditional iterative reconstruction (IR) algorithms.

Authors

  • Pierre-Antoine Bornet
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France. p.bornet@chru-nancy.fr.
  • Nicolas Villani
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France.
  • Romain Gillet
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France.
  • Edouard Germain
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France.
  • Charles Lombard
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France.
  • Alain Blum
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France.
  • Pedro Augusto Gondim Teixeira
    Guilloz Imaging Department, University of Lorraine, Central Hospital, University Hospital Center of Nancy, Nancy, France.

Keywords

External Resources

Popular Topics
Recent Journals