Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.

Journal: Medical physics
PMID: 31733105

Abstract

PURPOSE: The aim of this study was to develop a deep learning (DL) method for generating virtual noncontrast (VNC) computed tomography (CT) images from contrast-enhanced (CE) CT images (VNC ) and to evaluate its performance in dose calculations for head and neck radiotherapy in comparison with VNC images derived from a dual-energy CT (DECT) scanner (VNC ).

Authors

  • Yuhei Koike
    Department of Radiation Oncology, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
  • Shingo Ohira
    Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan; Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Japan.
  • Yuichi Akino
    Oncology center, Osaka University Hospital, Suita, 565-0871, Japan.
  • Tomohiro Sagawa
    Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, 541-8567, Japan.
  • Masashi Yagi
    Department of Carbon Ion Radiotherapy, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
  • Yoshihiro Ueda
    Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan; Department of Radiation Oncology, Osaka University Graduate School of Medicine, Suita, Japan.
  • Masayoshi Miyazaki
    Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan.
  • Iori Sumida
    Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, Japan.
  • Teruki Teshima
    Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan. Electronic address: teshima-te@mc.pref.osaka.jp.
  • Kazuhiko Ogawa
    Department of Radiation Oncology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Keywords

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