Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.

Journal: Radiological physics and technology
Published Date: Dec 30, 2022

Abstract

PURPOSE: We assessed the physical properties of virtual monochromatic images (VMIs) obtained with different energy levels in various contrast settings and radiation doses using deep learning-based spectral computed tomography (DL-Spectral CT) and compared the results with those from single-energy CT (SECT) imaging.

Authors

  • Yuna Katsuyama
    Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Fukuoka, Japan. katsuyama.yuna.198@m.kyushu-u.ac.jp.
  • Tsukasa Kojima
    Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan; Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. Electronic address: tukasa@med.kyushu-u.ac.jp.
  • Takashi Shirasaka
    Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
  • Masatoshi Kondo
    Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
  • Toyoyuki Kato
    Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.

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