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Title: Objective assessment of 3-D medical image registration results using statistical confidence intervals
Authors: Wang, HS
Feng, DD
Huang, SC
Issue Date: 2001
Source: 2000 IEEE Nuclear Science Symposium conference record : October 15-20, 2000, Lyon, France, v. 3, p. 18/92 - 18/94
Abstract: It is of great interest to provide statistical information of image registration results. We successfully proposed a novel automatic approach based on statistical theory to estimate confidence intervals of the parameters in 2-D registrations. In this paper, the theory has been extended to more sophisticated conditions in the current 3-D phantom study.
Extensive Monte Carlo simulations have been conducted and the results are consistent with the calculated confidence intervals when different amounts of displacement and smoothing are presented. The predicted 95% confidence intervals have less then 20% error of their sizes in normal noise conditions. By properly removing the systematic errors, the new theory works well even when large amounts of noise and gray value inconsistency are present in the images. The present results indicate that the use of the statistical confidence intervals developed in this paper can provide an objective assessment for 3-D image registration results.
Keywords: Monte Carlo methods
Image registration
Medical image processing
Statistical analysis
Publisher: IEEE
ISBN: 0-7803-6503-8
DOI: 10.1109/NSSMIC.2000.949240
Rights: © 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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