Publication

Abstract : Identifying the ailments and to cure these ailments require accurate and defined evidence that has to be obtained from different kinds of medical images, like Positron Emission tomography(PET), Computed tomography(CT), Magnetic Resonance Imaging(MRI) etc. By undergoing their respective procedure and scans, these methods are commonly used, since they provide necessary evidence and indications about the disease whose information is insufficient and vague. In the given situation, fusion of medical images can be of greatest importance as the complete standard of scans can be improvised and upgraded. Hence, combining various multimodality medical images provides an adverse image with more properly specified data of body structure and high spectral data. Image fusion is highly opted in therapeutic analysis and testing. In this paper, the MRI and PET scans are processed. Before applying any further transformations, we enhance the standard of the images, as these images are tainted and non-readable due to numerous aspects. With the help of Gaussian filters, this is one of the important spatial filtering techniques. Discrete wavelet transform is applied on the images obtained after filtering two kinds of approaches are used 1) Averaging method 2) min-max method.