A Survey on Different Multimodal Medical Image Fusion Techniques and Methods

Abstract

Multimodal fusion of medical image, as a powerful tool for the application of clinical images has grown with the emergence of various image modalities in medical imaging. The main objective of the image fusion is to merge features from several different input images into one image which becomes more reliable and easy to understand by patients. Fusion of medical image can apply in different areas, like image processing, computer vision, pattern recognition, machine learning and artificial intelligence etc. The fusion of multimodal medical images also helps the doctors for their easy diagnosis and treatments. In this review paper a survey is taken into account on different earlier methods used in fusion of multimodal medical images.