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A new hybrid particle swarm optimization for multimodal brain image registration
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
- 1 Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
- 2 Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
- 3 Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Journal of Biomedical Science and Engineering·Volume 05 (2012)·Pages 153–161·Published 19 April 2012·DOI10.4236/jbise.2012.54020
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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.
KeywordsImage RegistrationMutual InformationParticle Swarm OptimizationMultimodal Images
- Rueckert, D. and Aljabar, P. (2010) Nonrigid registration of medical images: Theory, methods, and applications. IEEE Signal Processing Magazine, 27, 113-119. doi:10.1109/MSP.2010.936850
- Brown, L.G. (1992) A survey of image registration techniques. ACM Computing Surveys (CSUR), 24, 326-376. doi:10.1145/146370.146374
- Wang, M.Y., Fitzpatrick, J.M., and Maurer, C.R. (1995) Design of fiducials for accurate registration of CT and MR volume images. In: Loew, Ed., Medical Imaging, 96-108.
- 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.
- 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
- Evans, A.C., Collins, D.L., Neelin, P. and Marrett, T.S. (1996) Correlative analysis of three-dimensional brain images. In: Taylor, R.H., Lavall’ee, S., Burdea, G.C. and M¨osges, R., Eds., Computer-Integrated Surgery, Technology and Clinical Applications, Chapter 6, MIT Press, Cambridge, 99-114.
- Maintz, J.B.A. and Viergever, M.A. (1998) A survey of medical image registration. Medical Image Analysis, 2, 1-37. doi:10.1016/S1361-8415(98)80001-7
- Gholipour, A., Kehtarnavaz, A., Briggs, R., Devous, M. and Gopinath, K. (2007) Brain functional localization: A survey of image registration techniques. IEEE Transactions on Medical Imaging, 26, 427-451. doi:10.1109/TMI.2007.892508
- Pluim, J.P.W., Maintz, J.B.A. and Viergever, M.A. (2003) Mutual information based registration of medical images: A survey. IEEE Transactions on Medical Imaging, 22, 986-1004. doi:10.1109/TMI.2003.815867
- Collignon, A., Maes, F., Delaere, D., Vandermeulen, D., Suetens, P. and Marchal, G. (1995) Automated multimodality medical image registration using information theory. Proceedings of the 14th International Conference of Information Processing and Medical Imaging, 263-274.
- Maes,F. Collignon, A., Vandermeulen, D., Marchal, G. and Suetens, P. (1997) Multimodality image registration by maximization of mutual information. IEEE Transactions on medical imaging, 16, 187-198. doi:10.1109/42.563664