A fluorolaser navigation system to guide linear surgical tool insertion

Jack T. Liang, Takehito Doke, Shinya Onogi, Satoru Ohashi, Isao Ohnishi, Ichiro Sakuma, Yoshikazu Nakajima

    研究成果: ジャーナルへの寄稿学術誌査読

    12 被引用数 (Scopus)

    抄録

    Purpose Conventional navigation systems for minimally invasive orthopedic surgery require a secondary monitor to display guidance information generated with CT or MRI images. Newer systems use augmented reality to project surgical plans into binocular glasses. These surgical procedures are often mentally challenging and cumbersome to perform. Method A comprehensive surgical navigation system for direct guidance while minimizing radiation exposure was designed and built. System accuracy was evaluated using in vitro needle insertion experiments. The fluoroscopic-based navigation technique is combined with an existing laser guidance technique. As a result, the combined system is capable of surgical planning using two or more X-ray images rather than CT or MRI scans. Guidance information is directly projected onto the patient using two laser beams and not via a secondary monitor. Results We performed 15 in vitro needle insertion experiments as well as 6 phantom pedicle screw insertion experiments to validate navigation system accuracy. The planning accuracy of the system was found to be 2.32mm and 2.28̊, while its overall guidance accuracy was found to be 2.40mm and 2.39̊. System feasibility was demonstrated by successfully performing percutaneous pin insertion on phantoms. Conclusion Quantitative and qualitative evaluations of the fluorolaser navigation system show that it can support accurate guidance and intuitive surgical tool insertion procedures without preoperative 3Dimage volumes and registration processes.

    本文言語英語
    ページ(範囲)931-939
    ページ数9
    ジャーナルInternational Journal of Computer Assisted Radiology and Surgery
    7
    6
    DOI
    出版ステータス出版済み - 11月 2012

    !!!All Science Journal Classification (ASJC) codes

    • 外科
    • 生体医工学
    • 放射線学、核医学およびイメージング
    • コンピュータ ビジョンおよびパターン認識
    • 健康情報学
    • コンピュータ サイエンスの応用
    • コンピュータ グラフィックスおよびコンピュータ支援設計

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