Medical image fusion by wavelet transform modulus maxima

Medical image fusion has been used to derive useful information from multimodality medical image data. In this research, we propose a novel method for multimodality medical image fusion. Using wavelet transform, we achieved a fusion scheme. Afusion rule is proposed and used for calculating the wavel...

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Bibliographic Details
Published in:Optics express 2001-08, Vol.9 (4), p.184-190
Main Authors: Guihong, Q, Dali, Z, Pingfan, Y
Format: Article
Language:English
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Summary:Medical image fusion has been used to derive useful information from multimodality medical image data. In this research, we propose a novel method for multimodality medical image fusion. Using wavelet transform, we achieved a fusion scheme. Afusion rule is proposed and used for calculating the wavelet transformation modulus maxima of input images at different bandwidths and levels. To evaluate the fusion result, a metric based on mutual information (MI) is presented for measuring fusion effect. The performances of other two methods of image fusion based on wavelet transform are briefly described for comparison. The experiment results demonstrate the effectiveness of the fusion scheme.
ISSN:1094-4087
1094-4087
DOI:10.1364/oe.9.000184