| Literature DB >> 18044621 |
Burton Ma1, Mehdi H Moghari, Randy E Ellis, Purang Abolmaesumi.
Abstract
We study the effect of anisotropic noise on target registration error (TRE) by using a tracked and calibrated stylus tip as the fiducial registration application. We present a simple, efficient unscented Kalman filter algorithm that is suitable for fiducial registration even with a small number of fiducials. We also derive an equation that predicts TRE under anisotropic noise. The predicted TRE values are shown to closely match the simulated TRE values achieved using our UKF-based algorithm.Mesh：
Year: 2007 PMID： 18044621 DOI： 10.1007/978-3-540-75759-7_76
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv