Fusion Of Multi-Modality Medical Images: A Fuzzy Approach

The advancements in technology have touched many domains and Medical Domain is one such beneficiary with advancements like Radiation Oncology, Real time imaging, 4-D respiratory gating etc. This paper deals with the Multi-Modality images and its fusion so that efficient, accurate and especially low cost high-end treatment is available to all. For Diagnostic and Treatment Planning, Medical images are the vital source of information. In this study we have employed the Harvard Database. The Medical images come with different modalities like CT, PET, MRI are medical images with different modality. These modalities are fused such that the best information is available in the fused image and to fulfill that, this paper puts forward Fuzzy Logic Inference system based image fusion. The proposed technique uses CT and MRI as input and the fusion is applied using Fuzzy Logic. The evaluation of output is done by the metrics: PSNR, SNR and MSE. The fused image attained through fuzzy logic is more informative when compared with the wavelet based fusion method.