architecture

一种基于基准标记的术中追踪新方法


目前商用的手术追踪设备(例如近红外光学追踪系统)往往系统复杂、缺乏多目标追踪能力,且抗干扰能力较弱。本研究提出了一种基于人工标记的低成本、高精度手术追踪系统,旨在实现对手术工具的实时追踪。该系统采用 Bumblebee2 双目视觉相机系统进行图像采集,以支持立体视觉处理;同时,追踪系统选用了 ARTag 基准标记系统。本研究提出了一种鲁棒且快速的 ARTag 检测算法;实验结果证实,这种基于边缘特征的检测方法具有出色的速度和鲁棒性。此外,为了实现并验证该追踪系统,本研究还提出了一种用于手术工具与测试基准板进行配准的算法。我们通过实验对该追踪系统的性能进行了全面测试。其中,追踪精度通过测量两个相邻角点之间的距离误差来评估;追踪稳定性则通过测量同一角点在手术工具处于不同姿态时的位置误差来评估。实验结果显示,两个相邻角点间距的平均误差为 0.40 mm;而在标记物发生不同角度旋转时,工具尖端位置的平均误差仅为 0.12 mm。这一性能指标已达到与目前常用的光学追踪系统相媲美的水平。



A New Method of Surgical Tracking System Based on Fiducial Marker

  • Conference paper
  • First Online: 
Medical Image Understanding and Analysis(MIUA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 723))

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Abstract

Now used commercial surgical tracking devicessuch as near-infrared optical tracking system is ofcomplex system, non-multi-target tracking and weak anti-interference ability. A low-cost and accurate surgical tracking system based on the artificial markers was proposed in our study for the real-time tracking of surgical tools. Bumblebee2 binocular vision camera system is used to capturing pictures for stereo vision process. We adopt ARTag fiducial marker system in our tracking system. A robust and fast ARTag detecting algorithm is proposed and this edge based approach is proved to be fast and robust with the conducted experiments. A relative algorithm for the registration of surgical tools with the test boarder is also proposed to realize and test the tracking system. Experiments are conducted to test the performance of the tracking system. We judge the tracking accuracy by the error of the distance between two near corner points, and the tracking stability by the location error of the same corner point with different tool postures. Results show that the mean error of the distance between two adjacent corners points is 0.40 mm, mean error with stable tip of different marker rotation is 0.12 mm, which is comparable to the common used optical tracking system.