Medical image registration based on wavelet transformand hybrid genetic algorithm

To address the disadvantages of image registration, a new method for image registration is proposed，which combines hybrid genetic algorithm with wavelet multi-resolution analysis strategy. In this method, mutual information is used as the similarity measure and a hybrid genetic algorithm is used as the search technique, and the parameters of genetic algorithm are adapted along with the computation of mutual information and the multi-resolution of the images. The experimental results show that this registration method could efficiently restrain the local maxima of mutual information function and the subvoxel accuracy can be achieved, which demonstrates that the algorithm is accurate, robust and efficient for image registration.