Datteri Ryan D, Dawant Benoît M
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
Med Image Comput Comput Assist Interv. 2012;15(Pt 3):139-46. doi: 10.1007/978-3-642-33454-2_18.
Fiducial-based registration is often utilized in image guided surgery because of its simplicity and speed. The assessment of target registration error when using this technique, however, is difficult. Although the distribution of the target registration error can be estimated given the fiducial configuration and an estimation of the fiducial localization error, the target registration error for a specific registration is uncorrelated with the fiducial registration error. Fiducial registration error is thus an unreliable predictor of the target registration error for a particular case. In this work, we present a new method to estimate the quality of a fiducial-based registration and show that our measure is correlated to the target registration error and that it can be used to reduce registration error caused by fiducial localization error. This has direct implication on the attainable accuracy of fiducial-based registration methods.
基于基准点的配准因其简单性和速度而经常用于图像引导手术。然而,使用该技术时对目标配准误差的评估却很困难。尽管给定基准点配置和基准点定位误差估计值后,可以估计目标配准误差的分布,但特定配准的目标配准误差与基准点配准误差不相关。因此,基准点配准误差对于特定情况而言是目标配准误差的不可靠预测指标。在这项工作中,我们提出了一种估计基于基准点配准质量的新方法,并表明我们的测量与目标配准误差相关,且可用于减少由基准点定位误差引起的配准误差。这对基于基准点的配准方法可达到的精度有直接影响。