Medical image fusion techniques for remote surgery

The motive of medical image fusion is to obtain useful information and removing redundant information from registered source images. There is no special approach of medical image fusion which will preserve 100 percent information. In this paper, image fusion techniques are broadly classified in to five categories, for each category comparative quantitative analysis is carried out. We also focus on the application of image fusion techniques to remote surgeries and various aspects related to it. Though, there is a need of fast data transfer rate in remote surgery applications. Empirical study shows the comparison of different fusion techniques based on various quality evaluation metrics along with experimental images. Experimental results also suggest that, medical image fusion using contourlet gives better results. Although a method based on combination of contourlet transform and artificial intelligence improves content of fused image with less computation cost.