出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Medical image fusion plays an important role in clinical application such as image-guidedradiotherapy and surgery, and treatment planning. The main purpose of the medical imagefusion is to fuse different multi-modal images, such as MRI and CT, into a single image. In thispaper, a novel fusion method is proposed based on a fast structure-preserving filter for medicalimage MRI and CT of a brain. The fast structure preserving filter is a novel double weightedaverage image filter (SGF) which enables to smooth out high-contrast detail and textures whilepreserving major image structures very well. The workflow of the proposed method is asfollows: first, the detail layers of two source images are obtained by using the structurepreservingfilter. Second, compute the weights of each source image by calculating from thedetail layer with the help of image statistics. Finally, fuse source images by weighted averageusing the computed weights. Experimental results show that the proposed method is superior tothe existing medical image fusion method in terms of subjective evaluation and objectiveevaluation.
