Lin Qinyong, Cai Ken, Yang Rongqian, Xiao Weihu, Huang Jinhua, Zhan Yinwei, Zhuang Jian
School of Medicine, South China University of Technology, Guangzhou, China.
School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Int J Med Robot. 2019 Apr;15(2):e1978. doi: 10.1002/rcs.1978. Epub 2019 Jan 16.
Patient-to-image registration is required for image-guided surgical navigation, but marker-based registration is time consuming and is subject to manual error. Markerless registration is an alternative solution to avoid these issues.
This study designs a calibration board and proposes a geometric calibration method to calibrate the near-infrared tracking and structured light components of the proposed optical surgical navigation system simultaneously.
A planar board and a cylinder are used to evaluate the accuracy of calibration. The mean error for the board experiment is 0.035 mm, and the diameter error for the cylinder experiment is 0.119 mm. A calibration board is reconstructed to evaluate the accuracy of the calibration, and the measured mean error is 0.012 mm. A head phantom is reconstructed and tracked by the proposed optical surgical navigation system. The tracking error is less than 0.3 mm.
Experimental results show that the proposed method obtains high accessibility and accuracy and satisfies application requirements.
图像引导手术导航需要患者与图像配准，但基于标记的配准耗时且易出现人为误差。无标记配准是避免这些问题的一种替代解决方案。
本研究设计了一个校准板，并提出了一种几何校准方法，以同时校准所提出的光学手术导航系统的近红外跟踪和结构光组件。
使用一个平面板和一个圆柱体来评估校准精度。平板实验的平均误差为0.035毫米，圆柱体实验的直径误差为0.119毫米。重建一个校准板以评估校准精度，测得的平均误差为0.012毫米。使用所提出的光学手术导航系统对头模进行重建和跟踪。跟踪误差小于0.3毫米。
实验结果表明，所提出的方法具有高可及性和准确性，满足应用要求。
