A new hybrid particle swarm optimization for multimodal brain image registration

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.

[1]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[2]  Calvin R. Maurer,et al.  Design of fiducials for accurate registration of CT and MR volume images , 1995, Medical Imaging.

[3]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[4]  Guy Marchal,et al.  Automated Multimodality Medical Images Registration using Information Theory , 1995 .

[5]  Russell H. Taylor,et al.  Computer-Integrated Surgery: Technology and Clinical Applications , 1995 .

[6]  Guy Marchal,et al.  Automated multi-moda lity image registration based on information theory , 1995 .

[7]  Thorsten M. Buzug,et al.  Accuracy analysis for image-guided neurosurgery using fiducial skin markers, 3D CT imaging, and an optical localizer system , 1996 .

[8]  U. Pietrzyk,et al.  Use of 201Thallium brain SPECT, image registration, and semi-quantitative analysis in the follow-up of brain tumors. , 1996, European journal of radiology.

[9]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[10]  G. Marchal,et al.  Multi-modal volume registration by maximization of mutual information , 1997 .

[11]  Lerner Ej.  Computer-integrated surgery. , 1997, New Jersey medicine : the journal of the Medical Society of New Jersey.

[12]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[13]  Paul Suetens,et al.  Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information , 1999, Medical Image Anal..

[14]  Konstantina S. Nikita,et al.  Automatic retinal image registration scheme using global optimization techniques , 1999, IEEE Transactions on Information Technology in Biomedicine.

[15]  Colin Studholme,et al.  An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..

[16]  Johnson A. Keith,et al.  The whole brain atlas on CD-ROM , 1999 .

[17]  Christian Roux,et al.  Genetic algorithms for a robust 3-D MR-CT registration , 2000, IEEE Transactions on Information Technology in Biomedicine.

[18]  Thomas Kiel Rasmussen,et al.  Hybrid Particle Swarm Optimiser with breeding and subpopulations , 2001 .

[19]  Max A. Viergever,et al.  Mutual-information-based registration of medical images: a survey , 2003, IEEE Transactions on Medical Imaging.

[20]  Heinz U Lemke,et al.  Computer-assisted radiology. , 1988, Academic radiology.

[21]  Jacek M. Zurada,et al.  An approach to multimodal biomedical image registration utilizing particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[22]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

[23]  Nasser Kehtarnavaz,et al.  Brain Functional Localization: A Survey of Image Registration Techniques , 2007, IEEE Transactions on Medical Imaging.

[24]  Yen-Wei Chen,et al.  Hybrid Particle Swarm Optimization for Medical Image Registration , 2009, 2009 Fifth International Conference on Natural Computation.

[25]  Ahmad Ayatollahi,et al.  Genetic algorithm as the main optimizer for medical image registration , 2010, 2010 17th Iranian Conference of Biomedical Engineering (ICBME).

[26]  Daniel Rueckert,et al.  Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner] , 2010, IEEE Signal Processing Magazine.