Research J. Pharm. and Tech. 9(7): July 2016 937 ISSN 0974-3618 (Print) www.rjptonline.org 0974-360X (Online) RESEARCH ARTICLE Osseous and Vascular Information Fusion using Various Spatial Domain Filters Ayush Dogra 1 *, Sunil Agrawal 1 ,Niranjan Khandelwal 2 ,Chirag Ahuja 2 1 Department of Electronics and Communications,UIET,Panjab University,Chandigarh 2 Department of Radio-daignosis,PGIMER,Chandigarh *Corresponding Author E-mail: ayush123456789@gmail.com ABSTRACT: Image fusion techniques aims at generating a composite image by integrating the complementary information from the multiple source images from the same sensor. To achieve a high amout of fidelity in the integrated image has been a major issue of concern with the researchers. It is intriguiging how simple pre-processing techniques can accelerate the fusion rate. In this article the performance evaluation of novel combination schemes of image sharpening and image fusion using spatial domain filters is presented. The performance of the proposed scheme has been verified for bone and vasscular image fusion i.e. multimodal fusion. We have reported weighted bilateral filter fusion technique as the best method in context of objective and subjective evaluation. The entire exhaustive assesment gives a Q AB/F factor of 0.769. KEYWORDS: Image fusion; Cross Bilateral filter; Tetrolet transform; Butterworth filter; weighted bilateral filter. INTRODUCTION: Image fusion has emerged as as tool which is widely used to increase and enhance the visual interpretability of the image in a varied number of applications like remote sensing, surveillance, medical diagnosis, biometrics etc. The idea of fusing two images together has been made use in various clinical applications. For instance, PET (Positron Emission Tomography) and CT (Computerized Tomography) images fused together for treatment and diagnosis of lung cancer. For the study of abdominal diseases SPECT (Single Photon Emission Computed Tomography) and CT were fused together. A great help has been extended in the field of medical diagnosis by the fusion of PET and MRI (Magnetic Resonance Imaging) [11] images in hepatic and metastasis detection and intracranial tumour diagnosis. One of the very significant applications of medical image fusion is held by bone-vesssel fusion. The fusion of lateral view of DSA and mask images has been a major issue of concern with the researchers. Received on 26.06.2016 Modified on 02.07.2016 Accepted on 06.07.2016 © RJPT All right reserved Research J. Pharm. and Tech. 2016; 9(7):937-941. DOI: 10.5958/0974-360X.2016.00180.3 For integrating two modalities together first step is image registration and second step is image fusion. To attain better fusion results the source images should be properly enhanced. The various types of fusions are broadly classified into multimodal, multifocus and multisensor fusion. The integration of these medical images of different modalities into one image with the attributes of both source images provides both anatomical and fuctional information. The concept of image fusiom has enhanced the patient care by reducing the diagnosis time and treatment complexity. Therefore medical image fusion turns out to be an exhaustive tool in conglomerating and processing the information. The primary focus any kind of image fusion has been to assemble all the viatl information from a multiple number of images. By image fusion one tends t retain a more accurate, compendious and stable 2-D data as compared to individual source images. The main objective of this article is to combine bone and vascular information together in one single image using various types of filters. To generate a DSA image we have to subtract the mask image from the contrast iamge.