Medical image fusion combines several medical images from different modalities to a single image. It gives more quality image and clinical information dropping redundancy. The fusion methods have proved better information accuracy and thereby increase clinical applicability like diagnosis, segmentation, surgery planning etc. MRI has gained wide acceptance due to its ability to provide tissue details. This survey article provides list of methods for the image fusion and MRI brain segmentation. The image fusion review is mainly based on three levels 1) pixel level, feature level and decision level. 2) Widely used techniques for image fusion. 3) Techniques for MRI brain segmentation. This paper concludes that these methods will help physician in medical diagnosis and analysis within short span of time. © Research India Publications.
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