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Fuchs, M., Wischmann, H., Neumann, A., Weese, J., Zylka, W., Sabczynski, J., Kuhn, M.H., Buzug, T.M., Schmitz, G., and Gieles, P.M.C. (1996) Accuracy analy-sis for image-guided neurosurgery using fiducial skin markers, 3D CT imaging, and an optical localizer system. In: Lemke, H.U., Vannier, M.W., Inamura, K. and Farman, A.G., Eds., Computer Assisted Radiology, Elsevier, Amsterdam, 770-775.

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.