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Use of Information Discrepancy Measure to Register Medical Images

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Abstract:

Function of Degree of Disagreement (FDOD), a new measure of information discrepancy, quantifies the discrepancy of multiple sequences. This function has some peculiar mathematical properties, such as symmetry, boundedness and monotonicity. In this contribution, we first introduce the FDOD function to solve the three-dimensional (3-D) medical image registration problem. Numerical experiments illustrate that the new registration method based on the FDOD function can obtain subvoxel registration accuracy, and it is a competitive method with the mutual information based method.

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Periodical:

Applied Mechanics and Materials (Volumes 50-51)

Pages:

790-793

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.50-51.790

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Cite this paper

Online since:

February 2011

Authors:

Shao Yan Sun, Lei Chen

Keywords:

Image Registration, Kullback-Leilber Divergence, Mutual Information (MI), Optimization

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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