Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration.

Journal: European radiology
Published Date: Jun 15, 2021

Abstract

OBJECTIVES: To evaluate the image quality and iodine concentration (IC) measurements in pancreatic protocol dual-energy computed tomography (DECT) reconstructed using deep learning image reconstruction (DLIR) and compare them with those of images reconstructed using hybrid iterative reconstruction (IR).

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.
  • Shoma Nagata
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Fumihiko Nakamura
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Takayuki Mori
    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.
  • Ryosuke Suzuki
    Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Fumiya Kitahara
    Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Hiroki Kato
    Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Fuminori Hyodo
    Department of Radiology, Frontier Science for Imaging, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
  • Masayuki Matsuo
    Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.

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