Multimodality images registration based on multi-resolution

Abstract

Abstract:

The paper proposed a multi-resolution multi-modal medical image registration method to improve the speed and accuracy of registration. The images were decomposed by Wavelet function, and expanded Powell optimization algorithm was used to find the Maximize mutual information (MMI) between images. The registration starts from the lowest-resolution image level 0 of the images pyramid, the deformation parameters of image Level 0 registration will be available as the initial parameters of image Level 1, repeating the process until the completion of the highest- resolution image registration. The images registration results of CT/MRI and CT/PET show that wavelet-based multi-modal registration method has many advantages such as avoiding Optimizer getting into local maxima, fast convergence and high accuracy.

Key words: image processing, images registration, maximize mutual information, wavelets, expanded　Powell algorithm

CLC Number:

TP202.7

MA Bin, MA Degui, LIAO Jiangmin. Multimodality images registration based on multi-resolution[J]. J4, 2012, 29(1): 15-20.

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