Improvement of image quality for pancreatic cancer using deep learning-generated virtual monochromatic images: Comparison with single-energy computed tomography.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: May 1, 2021

Abstract

PURPOSE: To construct a deep convolutional neural network that generates virtual monochromatic images (VMIs) from single-energy computed tomography (SECT) images for improved pancreatic cancer imaging quality.

Authors

  • 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.
  • Yuhei Koike
    Department of Radiation Oncology, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
  • Yuichi Akino
    Oncology center, Osaka University Hospital, Suita, 565-0871, Japan.
  • Naoyuki Kanayama
    Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan.
  • Kentaro Wada
    Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, 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.
  • Akira Masaoka
    Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan.
  • Hayate Washio
    Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan.
  • Masayoshi Miyazaki
    Department of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan.
  • Masahiko Koizumi
    Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
  • Kazuhiko Ogawa
    Department of Radiation Oncology, Osaka University Graduate School of Medicine, 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.

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