A Local Registration Approach of Medical Images with Niche Genetic Algorithm

This paper proposes a local registration approach of medical images with niche genetic algorithm. In our approach, the deformation function is obtained by interpolating discrete point-landmarks using radial basis function with compact support. The locality of deformation function can be conveniently controlled by distributing the point-landmarks into the desired regions, which especially allows us to deal with local changes in medical images. With niche genetic algorithm, the action scope of each point-landmark is optimized to minimize the sum of squared difference of intensity between two images. Experimental results show that the performance of our image registration approach is very promising in controlling the locality of deformation function