王杰, 仲重亮, 朱伟东. 一种用于光学器械跟踪的近红外双目系统[J]. 红外与激光工程, 2022, 51(6): 20210517. DOI: 10.3788/IRLA20210517
引用本文: 王杰, 仲重亮, 朱伟东. 一种用于光学器械跟踪的近红外双目系统[J]. 红外与激光工程, 2022, 51(6): 20210517. DOI: 10.3788/IRLA20210517
Wang Jie, Zhong Chongliang, Zhu Weidong. A near-infrared binocular system for optical instrument tracking[J]. Infrared and Laser Engineering, 2022, 51(6): 20210517. DOI: 10.3788/IRLA20210517
Citation: Wang Jie, Zhong Chongliang, Zhu Weidong. A near-infrared binocular system for optical instrument tracking[J]. Infrared and Laser Engineering, 2022, 51(6): 20210517. DOI: 10.3788/IRLA20210517

一种用于光学器械跟踪的近红外双目系统

A near-infrared binocular system for optical instrument tracking

  • 摘要: 近红外光学跟踪系统以其高精度、便捷的特点迅速发展成为手术导航中的重要组成部分。基于双目视觉设计了一套高精度、低成本的光学跟踪系统,该系统使用安装在器械上的被动标记球(NDI Passive Sphere)作为标记,并在双目相机镜头前添加近红外滤光片,以消除环境光的干扰。首先,采用轮廓过滤算法,用于标记轮廓的提取,使用最小二乘椭圆拟合算法获取标记投影中心的像素坐标;其次,设计了器械识别算法,使每个器械可以单独有序储存标记球的中心像素坐标,用于多个器械的分辨;最后,通过左右视图对应标记中心匹配,重建其空间坐标,进而推导出器械尖端在世界坐标系中的坐标。实验使用该系统跟踪器械,利用器械的无规则摆放实验验证了器械识别算法的准确性和鲁棒性,准确率达95%,平均识别时间仅需4 ms。并对系统进行了稳定性、静态定位精度、动态跟踪等测试。结果表明:稳定性误差可达0.13 mm,静态定位精度可达0.373 mm,所提出的近红外光学跟踪系统具有较高的精度和稳定性,可以满足手术导航的要求。

     

    Abstract: The near-infrared optical tracking system has rapidly developed into an important part of surgical navigation because of its high precision and convenience. A high-precision and low-cost optical tracking system was designed based on binocular vision. The system used the passive marker ball (NDI passive sphere) installed on the instrument as the marker, and added a near-infrared filter in front of the binocular camera lens to eliminate the interference of ambient light. Firstly, the contour filtering algorithm was used to extract the marker contour, and the least square ellipse fitting algorithm was used to obtain the pixel coordinates of the marker projection center; Secondly, an instrument recognition algorithm was designed so that each instrument could store the central pixel coordinates of the marker ball separately and orderly for the resolution of multiple instruments; Finally, by matching the mark centers corresponding to the left and right views, the spatial coordinates were reconstructed, and then the coordinates of the instrument tip in the world coordinate system were derived. The system was used to track the instruments in the experiment, and the irregular placement of instruments was used to verify the accuracy and robustness of the instrument recognition algorithm. The accuracy rate was 95%, and the average recognition time was only 4 ms. The stability, static positioning accuracy and dynamic tracking of the system were tested. The results showed that the stability error could reach 0.13 mm, the static positioning accuracy could reach 0.373 mm. The proposed near-infrared optical tracking system has high accuracy and stability, and can meet the requirements of surgical navigation.

     

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