CT and MRI image fusion based on Wavelet Transform and Neuro-Fuzzy concepts with quantitative analysis

Medical image fusion is the process of combining two different modality images into single image. This resultant image is helpful in medical field for efficient disease diagnoses, retrieval of images, undergo surgery treatment, tumor identification etc. This single image features cannot be obtained from the single modality medical images and it can be resolved by image fusion. This paper has proposed two fusion techniques Iterative Neuro-Fuzzy Approach (INFA), Lifting Wavelet Transform and Neuro-Fuzzy Approach (LWT-NFA). By using proposed techniques, Computed Tomography (CT) and Magnetic Resonance Image (MRI) images are fused and it has been compared with existing technique using quantitative and qualitative measures. From the implementation observed that INFA algorithm provides clear image information based on the measures.