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 JBiSE  Vol.5 No.4 , April 2012
A new hybrid particle swarm optimization for multimodal brain image registration
Abstract: Image registration is an important issue in medical analysis. In this process the spatial transformation that aligns the reference image and the floating image is estimated by optimizing a similarity metric. Mutual information (MI), a popular similarity metric, is a reliable criterion for medical image registration. In this paper, we present an improved method for multimodal image registration based on maximization of a new form of normalized MI incorporating particle swarm optimization, PSO, as a searching strategy. Also a new hybrid PSO algorithm is applied to approach more precise and robust results with better performance.
Cite this paper: Ayatollahi, F. , Shokouhi, S. and Ayatollahi, A. (2012) A new hybrid particle swarm optimization for multimodal brain image registration. Journal of Biomedical Science and Engineering, 5, 153-161. doi: 10.4236/jbise.2012.54020.
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