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• W2039734599 abstract "A bundle of image registration procedures have been built up with enormous implication for data analysis in medicine, astrophotography, satellite imaging and little other areas. An approach to the problem of mono and multimodality medical image registration is proposed, with a fundamental concept Correlation Coefficient, as a matching measure. It measures the statistical dependence or information redundancy between the image intensities of corresponding voxels in both images. Maximization of CC is a very broad and dominant norm. As no assumptions are made regarding the nature of this dependence and no limiting constraints are imposed on the image content of the modalities involved. The accuracy of the CC criterion is validated for rigid body registration of computed tomography (CT), and magnetic resonance (MR T1 and T2) images by comparison with the registration solution. Experimental results prove that subvoxel accuracy with the reference solution can be achieved completely automatically without any preprocessing steps that make this process ensemble for medical applications." @default.
• W2039734599 created "2016-06-24" @default.
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• W2039734599 date "2011-01-01" @default.
• W2039734599 modified "2023-09-25" @default.
• W2039734599 title "Correlation Coefficient Measure of Mono and Multimodal Brain Image Registration using Fast Walsh Hadamard Transform" @default.
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• W2039734599 doi "https://doi.org/10.7763/ijet.2011.v3.215" @default.
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