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机构地区:[1]广东医科大学,广东省东莞市松山湖科技园523808 [2]天乐思科技有限公司 [3]新疆医科大学第五附属医院
出 处:《中国数字医学》2016年第6期12-13,17,共3页China Digital Medicine
基 金:东莞市高等院校科研机构科技计划项目(编号:201210825200476)~~
摘 要:目的:现有的骨科手术导航系统在提高手术精度和减少术中X线暴露方面具有传统手术无法比拟的优势,但设备体较大,操作繁琐,难以有效缩短手术时间。因此,介绍一种利用可见光的单目视觉导航系统解决此问题。方法:采用可见光的单目视觉作为手术导航的图像处理系统,并在此基础上设定整体硬件平台,验证相关算法,并设计了针对膝关节置换手术的使用操作流程。结果及结论:相对以往的非接触式立体定位方法,本系统在保证精度的同时减小设备体积,简化导航流程,兼具可重复开发、成本低廉等特性,适用于中小型骨科手术。Objective: Existing orthopedic surgical navigation system makes surgery accurate and intraoperative X-ray exposure reduce to the traditional surgery, but the apparatus body is large and operation complicate, difficult to effectively shorten the operation time. This paper introduces a monocular vision navigation system to solve this problem. Methods: Monocular vision navigation using visible light image processing system, and set the overall hardware platform based on validated algorithms and designs used for knee replacement surgery procedures. Result & Conclusion: Relative to the previous method of non-contact dimensional localization, our system can keep the accuracy while reducing the hardware volume and simplifying the navigation process, also has features such as iterative development, low cost, particularly suitable for medium and small orthopaedics surgery.
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