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Automatic Rigid and Deformable Medical Image Registration

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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.

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  • English
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  • etd-050905-100341
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  • 2005
Date created
  • 2005-05-09
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  • 2020-12-31

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Permanent link to this page: https://digital.wpi.edu/show/5q47rn88v