MRI and CT Image Fusion using Synchronized Anisotropic Diffusion Equation with DT-CWT Decomposition

Medical image fusion plays the major role in many applications including brain tumor segmentation, and classification. But the conventional methods are suffering with colour artifacts. Thus, this article proposes a novel magnetic resonance imaging (MRI) and computerized tomography (CT) based multi modal medical image fusion using synchronized anisotropic diffusion equation (SADE) with dual tree dual-tree complex wavelet transform (DT-CWT) decomposition. Initially, source images are divided into multiple bands by using DT-CWT approach. In addition, SADE process is applied to extract the approximate and detailed layers. Further, principal component analysis (PCA) is applied to extract the eigen vectors. Finally, PCA fusion rule is applied to get the fused outcome. The simulation results show that proposed fusion results shows better subjective and object performance as compared to conventional fusion methods.