A VS ultrasound diagnostic system with kidney image evaluation functions.

Journal: International journal of computer assisted radiology and surgery
Published Date: Oct 5, 2022

Abstract

PURPOSE: An inevitable feature of ultrasound-based diagnoses is that the quality of the ultrasound images produced depends directly on the skill of the physician operating the probe. This is because physicians have to constantly adjust the probe position to obtain a cross section of the target organ, which is constantly shifting due to patient respiratory motions. Therefore, we developed an ultrasound diagnostic robot that works in cooperation with a visual servo system based on deep learning that will help alleviate the burdens imposed on physicians.

Authors

  • Jiayi Zhou
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Norihiro Koizumi
    The University of Electro-Communications, Chofu, Japan. nkoizumi@ieee.org.
  • Yu Nishiyama
    Faculty of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan.
  • Kiminao Kogiso
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Tomohiro Ishikawa
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Kento Kobayashi
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Yusuke Watanabe
    From the Departments of Diagnostic and Interventional Radiology (D.U., A.Y., S.L.W., H. Tatekawa, H. Takita, T.H., A.S., Y.M.), Neurosurgery (T. Ichinose, H.A., Y.W., T.G.), and Medical Statistics (D.K.), Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; and Department of Radiology, Osaka City University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan (Y.K., T. Ichida).
  • Takumi Fujibayashi
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Miyu Yamada
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Momoko Matsuyama
    The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Hiroyuki Tsukihara
    The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan.
  • Ryosuke Tsumura
    Faculty of Science and Engineering, Waseda University, Tokyo, Japan. ryosuke-tsumura@iwata.mech.waseda.ac.jp.
  • Kiyoshi Yoshinaka
    National Institute of Advanced Industrial Science and Technology, 1-2-1 Namiki, Tsukuba, Ibaraki, Japan.
  • Naoki Matsumoto
    Nihon University, Tokyo, Japan.
  • Masahiro Ogawa
    Nihon University, Tokyo, Japan.
  • Hideyo Miyazaki
    National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan.
  • Kazushi Numata
    Gastroenterological Center, Yokohama City University Medical Center, 4-57 Urafune-cho, Minami-ku, Yokohama, Kanagawa, 232-0024, Japan. kz-numa@urahp.yokohama-cu.ac.jp.
  • Hidetoshi Nagaoka
    Obayashi Manufacturing Co., Ltd, 2-15-15 Yahei, Kawaguchi, Saitama, Japan.
  • Toshiyuki Iwai
    Obayashi Manufacturing Co., Ltd, 2-15-15 Yahei, Kawaguchi, Saitama, Japan.
  • Hideyuki Iijima
    Obayashi Manufacturing Co., Ltd, 2-15-15 Yahei, Kawaguchi, Saitama, Japan.

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