Multi-modality Image Fusion of Pet/ct by Integrating Methods, Dwt-pca

It this paper given a views of the fusion of different modality images i.e. PET and CT (Positron Emission Tomography & Computed Tomography ) by integrating the DWT & PCA methods. The decomposed coefficients of DWT(discrete wavelet transformation) are applied with the PCA(principal component analysis) to get fused image information. Before that ,choose a detailed part of decomposed coefficients by maximum selection and averaging the approximated part of DWT coefficients and applying the PCA after to reconstruct using inverse DWT to get the fussed image of two modalities CT & PET. So that add more information of both anatomic ,physiological and metabolic information in one image, helps in improvement of perception of physician in diagnosis of patients in medical field. The MSE, PSNR,ENTROPY analysis shows better improvement on results.