Muscle model for safe minimally invasive surgery

Naoto Nakamura*, Masaru Yanagihara, Kazuya Kawamura, Masakatsu G. Fujie

*この研究の対応する著者

    研究成果: Conference contribution

    6 被引用数 (Scopus)

    抄録

    Minimally invasive surgery that is less safe for human beings cannot spread. We propose a system that avoids damaging the nerves and blood in the surgical approach to safe minimally invasive surgery. The system consists of a model of the operative part and a surgical manipulator. The model shows the pressure on the nerves and bloods in surgical procedure. The model requires precise measurement of the physical properties of soft tissue in the view of the surgical procedure. We propose new and precise model for muscle's heterogeneity properties. In this paper a viscoelasticity test is examined to some muscle samples involved in a rectus femoris muscle. Approximating each result of heterogeneity properties to the three-elements model quantitatively showed the difference in the physical properties of each part. This precise three-elements model is build in a simulation of muscle behavior. Comparison of the indentation examinations between real muscle and the simulation confirmed the effectiveness of the parameters obtained from the viscoelasticity examination. The difference between the maximum forces of the indented simulated heterogeneity and homogeneity models is about 21 %. The indented simulation resulted in a need for a heterogeneity model of muscle. In the near future proposed model will be based on the control of a surgical manipulator. Proposed system will provide safe minimally invasive surgery.

    本文言語English
    ホスト出版物のタイトル2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
    ページ1438-1443
    ページ数6
    DOI
    出版ステータスPublished - 2006
    イベント2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 - Kunming
    継続期間: 2006 12月 172006 12月 20

    Other

    Other2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
    CityKunming
    Period06/12/1706/12/20

    ASJC Scopus subject areas

    • 人工知能
    • 電子工学および電気工学

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