Abstract: This paper gives a view of the fusion of different modality images i.e. PET (Positron Emission Tomography) and MRI (magnetic resonance imaging) by integrating the DWT2 method. The decomposed coefficients of DWT2 (discrete wavelet transformation2) are applied to get fused image information. Before that, we decomposes DWT coefficients and averaging the approximate part of DWT coefficients and then reconstruct using inverse DWT to get the fussed image of two modalities MRI& PET. So that we get fused image of both anatomic, spectral information in one image, we used normal axial, and normal coronal, brain images as the three datasets for testing and fusing. Experimental results show that the performance of proposed fusion method is better than that of IHS+RIM fusion method in terms of spectral discrepancy (SD) and average gradient (AG). In fact, this method is superior to IHS+RIM method both visually and quantitatively.
Keywords: PET image, MR image, Image fusion, wavelet Transform2, GD, SD, PSNR, MES.
Title: Applications of Wavelet Transform To Multimodality Medical Image (PET&MRI) Fusion
Author: Harishbabu K M, Mrs. S K Uma
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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