An overview of multi-modal medical image fusion

Medical image fusion covers a broad number of hot topic areas, including image processing, computer vision, pattern recognition, machine learning and artificial intelligence. And medical image fusion has been widely used in clinical for physicians to comprehend the lesion by the fusion of different modalities medical images. In this review, methods in the field of medical image fusion are characterized by (1) image decomposition and image reconstruction, (2) image fusion rules, (3) image quality assessments, and (4) experiments on the benchmark dataset. In addition, this review provides a factual listing of scientific challenges faced in the field of multi-modal medical image fusion.