Adapting a low-count acquisition of the bone scintigraphy using deep denoising super-resolution convolutional neural network.

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: Jun 15, 2022

Abstract

PURPOSE: Deep-layer learning processing may improve contrast imaging with greater precision in low-count acquisition. However, no data on noise reduction using super-resolution processing for deep-layer learning have been reported in nuclear medicine imaging.

Authors

  • Toshimune Ito
    Department of Radiological, Technology, Faculty of Medical Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan. Electronic address: toito@med.teikyo-u.ac.jp.
  • Takafumi Maeno
    Department of Orthopaedic Surgery, Ishikiriseiki Hospital, 18-28, Yayoi-machi, Higashiosaka, Osaka 579-8026, Japan.
  • Hirotatsu Tsuchikame
    Department of Radiology, Saiseikai Yokohamashi Tobu Hospital, 3-6-1 Shimosueyoshi, Tsurumi-ku, Yokohama, Kanagawa 230-0012, Japan. Electronic address: h_tsuchikame@tobu.saiseikai.or.jp.
  • Masaaki Shishido
    Department of Radiology, Saiseikai Yokohamashi Tobu Hospital, 3-6-1 Shimosueyoshi, Tsurumi-ku, Yokohama, Kanagawa 230-0012, Japan. Electronic address: m_shishido@tobu.saiseikai.or.jp.
  • Kana Nishi
    Department of Radiology, Saiseikai Yokohamashi Tobu Hospital, 3-6-1 Shimosueyoshi, Tsurumi-ku, Yokohama, Kanagawa 230-0012, Japan.
  • Shinya Kojima
    Department of Medical Radiology, Faculty of Medical Technology, Teikyo University, Kaga, Itabashi-Ku, Tokyo, Japan.
  • Tatsuya Hayashi
    Department of Radiological, Technology, Faculty of Medical Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan. Electronic address: t-hayashi@med.teikyo-u.ac.jp.
  • Kentaro Suzuki
    Department of Radiological Technology, Toranomon Hospital, 2-2-2 Tranomon, Minato-ku, Tokyo 105-8470, Japan; Department of Radiation Oncology, Graduated School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan. Electronic address: suzuki-k@juntendo.ac.jp.

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