Radiation and iodine dose reduced thoraco-abdomino-pelvic dual-energy CT at 40 keV reconstructed with deep learning image reconstruction.

Journal: The British journal of radiology
PMID: 35230135

Abstract

OBJECTIVE: To evaluate the feasibility of a simultaneous reduction of radiation and iodine doses in dual-energy thoraco-abdomino-pelvic CT reconstructed with deep learning image reconstruction (DLIR).

Authors

  • Yoshifumi Noda
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Nobuyuki Kawai
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Tomotaka Kawamura
    Department of Radiology, Gifu University, Gifu, Japan.
  • Akikazu Kobori
    Department of Radiology, Gifu University, Gifu, Japan.
  • Rena Miyase
    Department of Radiology, Gifu University, Gifu, Japan.
  • Ken Iwashima
    Department of Radiology, Gifu University, Gifu, Japan.
  • Tetsuro Kaga
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Toshiharu Miyoshi
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Fuminori Hyodo
    Department of Radiology, Frontier Science for Imaging, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Hiroki Kato
    Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Masayuki Matsuo
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.

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