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Nejad, A.G. and Ayatollahi, A. (2010) Genetic algorithm as the main optimizer for medical image registration. Proceedings of the 17th Iranian Conference on Biomedical Engineering (ICBME), 1-3.

has been cited by the following article:

• 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.