Deep-learning image reconstruction for 80-kVp pancreatic CT protocol: Comparison of image quality and pancreatic ductal adenocarcinoma visibility with hybrid-iterative reconstruction.

Journal: European journal of radiology
Published Date: Jul 4, 2023

Abstract

PURPOSE: To evaluate the image quality and visibility of pancreatic ductal adenocarcinoma (PDAC) in 80-kVp pancreatic CT protocol and compare them between hybrid-iterative reconstruction (IR) and deep-learning image reconstruction (DLIR) algorithms.

Authors

  • Yukiko Takai
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Yoshifumi Noda
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Masashi Asano
    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.
  • Tetsuro Kaga
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Yuki Tsuchida
    Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan. Electronic address: tuchida@gifu-u.ac.jp.
  • 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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