Development of robotic system for autonomous liver screening using ultrasound scanning device

Ammar Safwan Bin Mustafa, Takashi Ishii, Yoshiki Matsunaga, Ryu Nakadate, Hiroyuki Ishii, Kouji Ogawa, Akiko Saito, Motoaki Sugawara, Kiyomi Niki, Atsuo Takanishi

    研究成果: Contribution to conferencePaper査読

    25 被引用数 (Scopus)

    抄録

    Physicians use ultrasound scans to do diagnosis by making real-time images of internal organs, because such scans are safe, inexpensive, and non-invasive. However, aging society and limited numbers of physician make it difficult for patients in remote areas to be diagnosed. Besides, physician's technical skills affect the interpretation of the scans and thus the results of the examination. Thus, development of a robotic system for remote diagnosis is required to solve the problems. For this purpose, we proposed the development of a robotic system for automatic ultrasound imaging focusing on human liver. In this paper, we present several elements developed for the robotic system. First element is an algorithm for estimating the position of liver to guide the probe to scan initial position which is the epigastric region. Second element is ultrasound probe scanning protocol design to obtain whole image of the liver. Third element is force control algorithm to maintain the contact between the probe and human body even though the patient is breathing. Fourth element is an algorithm for detecting and correcting the probe's position when improper ultrasound images occurred. These algorithms with an implementation program control the apparatus: a Mitsubishi Electric's MELFA RV-1 six axis manipulator and tested on human subjects. The results confirmed the effectiveness of the approach.

    本文言語英語
    ページ804-809
    ページ数6
    DOI
    出版ステータス出版済み - 1 1 2013
    イベント2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, 中国
    継続期間: 12 12 201312 14 2013

    その他

    その他2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
    国/地域中国
    CityShenzhen
    Period12/12/1312/14/13

    All Science Journal Classification (ASJC) codes

    • 人工知能
    • コンピュータ サイエンスの応用
    • バイオテクノロジー

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