Survey on Multi-Modal Medical Image Fusion

Abstract

Abstract: Multi-modality medical or clinical image fusion is a field of study aimed at enhancing diagnostic accuracy and aid in decisions to be taken by medical professional. Various fusion techniques such as pixel-based, region-based, and transformbased approaches are applied in image fusion to provide accurate fusion. Different devices which take scans of body such as MRI, CT, PET, SPECT, Ultrasound hold and carry different features, and different medical sensors obtain different information of the particular part of the body. Each of these imaging modalities offer only specific information that is used for the detection and analysis of specific problem. The idea behind fusion is to achieve and get better contrast and better fused image. The algorithm is making use of the common pyramid type and similarity type fusion algorithm with the neural networks model to achieve a better and more flexible fusion method. The advantages of image fusion medically are widespread. It plays a pivotal role in tumour localization, surgical planning and in treatment assessment.