Title :
Estimation of Optimal Fiducial Target Registration Error in the Presence of Heteroscedastic Noise
Author :
Ma, Burton ; Moghari, Mehdi H. ; Ellis, Randy E. ; Abolmaesumi, Purang
Author_Institution :
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
fDate :
3/1/2010 12:00:00 AM
Abstract :
We study the effect of point dependent (heteroscedastic) and identically distributed anisotropic fiducial localization noise on fiducial target registration error (TRE). We derive an analytic expression, based on the concept of mechanism spatial stiffness, for predicting TRE. The accuracy of the predicted TRE is compared to simulated values where the optimal registration transformation is computed using the heteroscedastic errors in variables algorithm. The predicted values are shown to be contained by the 95% confidence intervals of the root mean square TRE obtained from the simulations.
Keywords :
error analysis; image registration; medical image processing; heteroscedastic errors; identically distributed anisotropic fiducial localization noise; optimal fiducial target registration error; optimal registration transformation; point dependent anisotropic fiducial localization noise; root mean square TRE; Anisotropic magnetoresistance; Biomedical optical imaging; Coordinate measuring machines; Gaussian noise; Jitter; Noise measurement; Optical noise; Pollution measurement; Quaternions; Surgery; Heteroscedastic noise; image-guided surgery; point-based registration; registration error; Algorithms; Anisotropy; Computer Simulation; Diagnostic Imaging; Elasticity; Image Processing, Computer-Assisted; Least-Squares Analysis; Models, Statistical; Monte Carlo Method; Reproducibility of Results; Surgery, Computer-Assisted;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2009.2034296
