Multi-Modal Medical Image Fusion using Multi-Resolution Discrete Sine Transform

Abstract

Quick advancement in high innovation and current medical instrumentations, medical imaging has turned into a \nfundamental part in many applications such as in diagnosis, research and treatment. Images from multimodal imaging devices \nusually provide complementary and sometime conflicting information. Information from one image may not be adequate to \ngive exact clinical prerequisites to the specialist or doctor. Of-late, Multi-Model medical image fusion playing a challenging \nrole in current research areas. There are many theories and techniques developed to fuse the multimodal images by \nresearchers. In this paper, introducing a new algorithm called as Multi Resolution Discrete Sine Transform which is used for \nMulti-Model image fusion in medical applications. Performance and evaluation of this algorithm is presented. The main \nintention of this paper is to apply DST which is easy to understand and demonstrated method to process image fusion \ntechniques. The proposed MDST based image fusion algorithm performance is compared with that of the well-known \nwavelet based image fusion algorithm. From the results it is observed that the performance of image fusion using MDST is \nalmost similar to that of wavelet based image fusion algorithm. The proposed MDST based image fusion techniques are \ncomputationally very simple and it is suitable. The proposed MDST based image fusion algorithms are computationally, \nexceptionally basic and it is appropriate for real time medical diagnosis applications.