Kwartowitz David M, Galloway Robert L, Shiavi Richard G
Vanderbilt University, Nashville, TN 37235, USA.
IEEE Trans Inf Technol Biomed. 2009 Jan;13(1):1-4. doi: 10.1109/TITB.2008.2003326.
Current techniques in image-guided surgery rely on the use of localizers for the measurement of position in physical space. These measurements are prone to error due to intrinsic properties of the localizer used. The error and thus accuracy of a localizer can be determined using various techniques, many of which assume that the error is isotropic and free of bias. A bias error adds an orientation dependence to the error of measured points. Determination of the presence of a bias error is an important component in the characterization of a localizer's performance. Statistical analysis of localized points on a rigid phantom can be used to detect the presence of a bias error. In this paper, we will examine the use of statistical techniques in the characterization of a series of localizers and how that information is useful in determining localizer efficacy.
当前图像引导手术技术依赖于使用定位器来测量物理空间中的位置。由于所使用定位器的固有特性，这些测量容易出错。定位器的误差以及由此产生的精度可以使用各种技术来确定，其中许多技术假定误差是各向同性且无偏差的。偏差误差会给测量点的误差增加方向依赖性。确定偏差误差的存在是定位器性能表征的一个重要组成部分。对刚性体模上的定位点进行统计分析可用于检测偏差误差的存在。在本文中，我们将研究统计技术在一系列定位器表征中的应用，以及该信息如何有助于确定定位器的有效性。
