Pulmonary emphysema quantification at low dose chest CT using Deep Learning image reconstruction.

Journal: European journal of radiology
Published Date: May 5, 2022

Abstract

PURPOSE: Quantitative analysis of emphysema volume is affected by the radiation dose and the CT reconstruction technique. We aim to evaluate the influence of a commercially available deep learning image reconstruction algorithm (DLIR) on the quantification of pulmonary emphysema in low-dose chest CT.

Authors

  • Fabrice Ferri
    Department of Radiology, Amiens University Hospital, 1 Rond-Point du Professeur Christian Cabrol, F-80054 Amiens Cedex 01, France.
  • Roger Bouzerar
    Medical Image Processing Unit, Amiens University Hospital, Amiens, France.
  • Marianne Auquier
    Department of Radiology, Amiens University Hospital, 1 Rond-Point du Professeur Christian Cabrol, F-80054 Amiens Cedex 01, France.
  • Jérémie Vial
    Department of Radiology, Amiens University Hospital, Amiens Cedex, France.
  • Cédric Renard
    Department of Radiology, Amiens University Hospital, Amiens Cedex, France.

Keywords

External Resources

Popular Topics
Recent Journals