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. A fusion 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.
© Optical Society of America
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