Multimodal medical image fusion (MIF) is a method of extracting complementary information from different source images and combining them into a resultant image. The integration of multimodality medical images can provide more complete pathological information for doctors, which greatly helps their diagnosis and treatment. In this paper a survey is carried out over the approaches proposed in earlier for medical image fusion. The complete approaches are categorized into various classes like Morphological methods, knowledge based methods, wavelet based methods, neural network based methods, fuzzy logic based methods, contourlet based methods and the non-subsampled contourlet transform based methods.
Keywords: Medical image fusion, Morphology, Wavelet, contourlet, ANN, fuzzy logic.