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Image Fusion Based On Wavelet Transform For Medical Diagnosis

In the image fusion scheme presented in this paper, the wavelet transforms of the input images are appropriately combined, the new image is obtained by taking the inverse wavelet transform of the fused wavelet co-efficients. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images, so as to provide more information to the doctor and clinical treatment planning system. This paper aims to demonstrate the application of wavelet transformation to multi- modality medical image fusion. This work covers the selection of wavelet function, the use of wavelet based fusion algorithms on medical image fusion of CT and MRI, implementation of fusion rules and the fusion image quality evaluation. The fusion performance is evaluated on the basis of the root mean square error (RMSE).