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Rubinstein, R., Karger, H., Pietrzyk, U., Siegal, T., Gomori, J.M. and Chisin, R. (1996) Use of 201thallium brain SPECT, image registration, and semi-quantitative analysis in the follow-up of brain tumors. European Journal of Radiology, 21, 188-195. doi:10.1016/0720-048X(95)00726-7

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• TITLE: A new hybrid particle swarm optimization for multimodal brain image registration

  AUTHORS: Fatemeh Ayatollahi, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi

  KEYWORDS: Image Registration; Mutual Information; Particle Swarm Optimization; Multimodal Images

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.5 No.4, April 19, 2012

  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.