Impact of deep learning reconstructions on image quality and liver lesion detectability in dual-energy CT: An anthropomorphic phantom study.

Journal: Medical physics
PMID: 39887750

Abstract

BACKGROUND: Deep learning image reconstruction (DLIR) algorithms allow strong noise reduction while preserving noise texture, which may potentially improve hypervascular focal liver lesions.

Authors

  • Aurélie Pauthe
    Institut National des Sciences Appliquées, INSA, Toulouse, France.
  • Milan Milliner
    Service d'Imagerie Médicale, AP-HP, Hôpitaux Universitaires Henri Mondor, Créteil, France.
  • Hugo Pasquier
    GE Healthcare, Buc, France.
  • Lucie Campagnolo
    Medes - IMPS, Institut de Médecine et de Physiologie Spatiales, Toulouse, France.
  • Sébastien Mulé
    Medical Imaging Department, Henri Mondor University Hospital, AP-HP, Créteil, France, Inserm, U955, Team 18, 94000 Créteil, France.
  • Alain Luciani
    Medical Imaging Department, Henri Mondor University Hospital, AP-HP, Créteil, France, Inserm, U955, Team 18, 94000 Créteil, France.

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