A Novel Multimodality Image Fusion Method Using Region Consistency Rule
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
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In the medical image processing different sources of images are providing complementary information so fusion of different source images will give more details for diagnosis of patients. In this paper an automatic region based image fusion algorithm is proposed which is applied on the registered Magnetic Resonance (MR) image of human brain. The aim of this paper is to detect all the information required for accurate diagnosis of a brain tumor namely, Ewing sarcoma which is simultaneously not available in individual MR images. The proposed region based image fusion method is applied on two types of MR sequence images to extract useful information which is than compared with different pixel based algorithm and the performance of these fusion schemes are evaluated using standard quality assessment parameters. From the analysis of quality assessment parameters we found that our scheme provides better result compared to pixel based fusion scheme. The resultant fused image is assessed and validated by radiologist.