Wiles Andrew D, Peters Terry M
Dept. of Medical Biophysics, The University of Western Ontario and Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.
Med Image Comput Comput Assist Interv. 2007;10(Pt 1):442-9. doi: 10.1007/978-3-540-75757-3_54.
Target registration error (TRE) refers to the uncertainty in localizing a point of interest after a point-based registration is performed. Common in medical image registration, the metric is typically represented as a root-mean-square statistic. In the late 1990s, a statistical model was developed based on the rigid body definition of the fiducial markers and the localization error associated in measuring the fiducials. The statistical model assumed that the fiducial localizer error was isotropic, but recently the model was reworked to handle anisotropic fiducial localizer error (FLE). In image guided surgery, the statistical model is used to predict the surgical tool tip tracking accuracy associated with optical spatial measurement systems for which anisotropic FLE models are required. However, optical tracking systems often track the surgical tools relative to a patient based reference tool. Here the formulation for modeling the TRE of a surgical probe relative to a reference frame is developed mathematically and evaluated using a Monte Carlo simulation. The effectiveness of the statistical model is directly related to the FLE model, the fiducial marker design and the distance from centroid to target.
目标配准误差（TRE）是指在进行基于点的配准后，定位感兴趣点时的不确定性。在医学图像配准中很常见，该指标通常表示为均方根统计量。在20世纪90年代后期，基于基准标记的刚体定义和测量基准时相关的定位误差，开发了一种统计模型。该统计模型假设基准定位器误差是各向同性的，但最近对该模型进行了重新设计，以处理各向异性的基准定位器误差（FLE）。在图像引导手术中，该统计模型用于预测与需要各向异性FLE模型的光学空间测量系统相关的手术工具尖端跟踪精度。然而，光学跟踪系统通常相对于基于患者的参考工具跟踪手术工具。在此，从数学上推导了用于对手术探头相对于参考框架的TRE进行建模的公式，并使用蒙特卡罗模拟进行了评估。统计模型的有效性直接与FLE模型、基准标记设计以及从质心到目标的距离相关。
