Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm optimization |
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Authors: | Arpita Das Mahua Bhattacharya |
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Affiliation: | (1) Department of Radio Physics & Electronics, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India;(2) Indian Institute of Information Technology and Management, Morena Link Road, Gwalior, 474010, India |
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Abstract: | We present a non-linear 2-D/2-D affine registration technique for MR and CT modality images of section of human brain. Automatic
registration is achieved by maximization of a similarity metric, which is the correlation function of two images. The proposed
method has been implemented by choosing a realistic, practical transformation and optimization techniques. Correlation-based
similarity metric should be maximal when two images are perfectly aligned. Since similarity metric is a non-convex function
and contains many local optima, choice of search strategy for optimization is important in registration problem. Many optimization
schemes are existing, most of which are local and require a starting point. In present study we have implemented genetic algorithm
and particle swarm optimization technique to overcome this problem. A comparative study shows the superiority and robustness
of swarm methodology over genetic approach. |
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Keywords: | |
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