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MICCAI
2004
Springer

Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration

13 years 9 months ago
Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration
Mutual information has become a popular similarity measure in multi-modality medical image registration since it was first applied to the problem in 1995. This paper describes a method for calculating the covariance matrix for mutual information coregistration. We derive an expression for the matrix through identification of mutual information with a log-likelihood measure. The validity of this result is then demonstrated through comparison with the results of Monte-Carlo simulations of the coregistration of T1-weighted to T2-weighted synthetic and genuine MRI scans of the brain. We conclude with some observations on the theoretical basis of the mutual information measure as a log-likelihood.
Paul A. Bromiley, Maja Pokric, Neil A. Thacker
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where MICCAI
Authors Paul A. Bromiley, Maja Pokric, Neil A. Thacker
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