Mri-Pet Image Fusion Based On SPD

Abstract

It is observed from this research work that by fusing PET and PET based on image selection criteria retains more structural information compared to the existing method. It is depicted as finding the ideal enlistment parameters to pick up the ideal combination for fusion. Developed algorithm proposes a clinical way of approach of image selection process of input image for image fusion, initially PET image is taken as color image and domain is changed to YUV which is segregated in to YUV layers from this Y layer is separated from the YUV images through examining with SSIM or VIF considering high valued image, later on the R layer is fused with gray scaleMRIimage using different Transforms and compared the output in which SPD (steerable pyramid decomposition) gives best result.