In this research three innovative registration systems were designed with the configurations of the mutual information and optimization technique: (1) mutual information combined with the downhill simplex method of optimization. (2) the derivative of mutual information combined with Quasi-Newton method. (3) mutual information combined with hybrid genetic algorithm (large-space random search) to avoid local maximum during the optimization. These automatic registration systems were evaluated with a variety of images, dimensions and voxel resolutions. Experiments demonstrate that registration system combined with mutual information and hybrid genetic algorithm can provide robust and accurate alignments to obtain a composite activation map for functional MRI analysis.
Worcester Polytechnic Institute
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Yu, H. (2005). Automatic Rigid and Deformable Medical Image Registration. Retrieved from https://digitalcommons.wpi.edu/etd-dissertations/281
image registration, Imaging systems in medicine, Image processing, Digital techniques