Danilchenko Andrei, Wiles Andrew D, Balachandran Ramya, Fitzpatrick J Michael
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Med Image Comput Comput Assist Interv. 2010;13(Pt 3):587-94. doi: 10.1007/978-3-642-15711-0_73.
Image-guided surgery systems have a wide range of applications where the level of accuracy required for each application varies from millimeters to low sub-millimeter range. In systems that use optical tracking, it is typical to use point-based registration without any weighting schemes to determine the pose of the tracked tool with very good accuracy. However, recent advancements in methods to estimate the measurement uncertainty for each tracked marker and the development of an anisotropically weighted point-based registration algorithm have allowed for the optical tracking accuracy to be improved. In this article, we demonstrate a new tracking method that improves the tracking accuracy by 20-45% over the traditional tracking methodology.
图像引导手术系统有广泛的应用，其中每个应用所需的精度水平从毫米到低亚毫米范围不等。在使用光学跟踪的系统中，通常使用基于点的配准且不采用任何加权方案来以非常高的精度确定被跟踪工具的位姿。然而，最近在估计每个被跟踪标记的测量不确定性的方法方面的进展以及各向异性加权的基于点的配准算法的发展，使得光学跟踪精度得到了提高。在本文中，我们展示了一种新的跟踪方法，与传统跟踪方法相比，该方法将跟踪精度提高了20% - 45%。
