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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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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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Acknowledgement

Authors are thankful to the National Brain Research Center, Gurgao, Govt. of India. Authors also like to thank to Dr. S. K. Sharma of EKO X-ray and Imaging Institute, Kolkata.

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Authors and Affiliations

  1. Department of Radio Physics & Electronics, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India

    Arpita Das

  2. Indian Institute of Information Technology and Management, Morena Link Road, Gwalior, 474010, India

    Mahua Bhattacharya

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  1. Arpita Das
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  2. Mahua Bhattacharya
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Correspondence to Mahua Bhattacharya.

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Das, A., Bhattacharya, M. Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm optimization. Neural Comput & Applic 20, 223–237 (2011). https://doi.org/10.1007/s00521-010-0374-8

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  • DOI: https://doi.org/10.1007/s00521-010-0374-8

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