A CT/MRI Image Fusion Algorthim Combined Non-separble Wavelet Transform and Regional Priority

In view of this situation that image fusion algorithm of separable wavelet is unable to retain the fusion image edge information effectively, based on the mutual complement of CT/MRI image contents, a fusion algorithm of integration and highlight for the medical image details is proposed. Under the...

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Bibliographic Details
Main Authors: Ge Wen, Gao Li-qun
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Brightness
Computed tomography
Image fusion
Image sampling
Information entropy
Magnetic resonance imaging
Medical diagnostic imaging
non-separable wavelet transform
regional priority
separable wavelet transform
Wavelet analysis
Wavelet transforms
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Summary:In view of this situation that image fusion algorithm of separable wavelet is unable to retain the fusion image edge information effectively, based on the mutual complement of CT/MRI image contents, a fusion algorithm of integration and highlight for the medical image details is proposed. Under the non-separable wavelet decomposed frame, this algorithm uses the fusion rule of the information entropy maximum for the low-frequency component, and uses the fusion rule of the regional brightness and details priority weighted for the high-frequency component. Finally, through an inverse transform of non-separable wavelet reconstructs fusion image. Experimental results show this algorithm not only reserves the source image information, but also enhances the fusion image details and brightness information.
DOI:10.1109/ISCSCT.2008.366