A Theoretical Comparison of Different Target Registration Error Estimators
A Theoretical Comparison of Different Target Registration Error Estimators
复制标题
不同目标配准误差估计器的理论比较
DOI：
10.1007/978-3-540-85990-1_124
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
P. Abolmaesumi
中科院分区：
文献类型：
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作者：
M. Moghari;B. Ma;P. Abolmaesumi
目标配准误差（TRE）是计算机辅助外科手术中的一个重要问题。在过去的十年中，已经开发了几种新的方法来估计TRE的均方值或TRE在不同噪声条件下的分布。在本文中，我们从理论上证明了所有提出的算法收敛到一个一般的最大似然（ML）的解决方案。数值模拟进行验证我们的推导。使用实验测量的基准定位误差，我们提供了一个例子，在各向异性噪声的存在下的TRE预测。
Estimation of target registration error (TRE), a common measure of the registration accuracy, is an important issue in computer assisted surgeries. Within the last decade, several new approaches have been developed to estimate either the mean squared value of TRE or the distribution of TRE under different noise conditions. In this paper, we theoretically demonstrate that all the proposed algorithms converge to a general Maximum Likelihood (ML) solution. Numerical simulations are performed to validate our derivations. Using experimentally measured fiducial localization error, we provide an example of TRE prediction in the presence of anisotropic noise.