[Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi
Published Date: Mar 21, 2024

Abstract

PURPOSE: To verify the optimal imaging conditions for coronary computed tomography angiography (CCTA) examinations when using high-definition (HD) mode and deep learning image reconstruction (DLIR) in combination.

Authors

  • Nobuo Kitera
    Department of Radiology, Hiroshima University Hospital.
  • Chikako Fujioka
    Department of Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Toru Higaki
    Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
  • Eiji Nishimaru
    Department of Radiology, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan. Electronic address: eiji2403@tk9.so-net.ne.jp.
  • Kazushi Yokomachi
    Department of Radiology, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Yoriaki Matsumoto
    Department of Radiology, Hiroshima University Hospital.
  • Masao Kiguchi
    Department of Radiology, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Kazuya Ohashi
    Department of Radiology, Nagoya City University Hospital.
  • Harumasa Kasai
    Department of Radiology, Nagoya City University Hospital.
  • Kazuo Awai
    Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.

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