Registration of Medical Images Using Points and Curves

To overcome the limitation of medical image registration introduced by a single kind of feature, an image registration method using multi-features is proposed in the paper.In the method,the operator exactly extracts the features from the images with sem-i automatic extraction method. The extracted curvepairs are modeled by non-uniform cubic B-splines so that they have the same parameter space.The mechanism of non-uniform subdivision of curves ensures that the discrete points can match the original curve as close as possible and fulfill the requirement of image registration.The transformation function is solved iteratively by continuously improving the regions of maximum difference between two curves and adding constraint conditions.Experimental results show that,by taking the advantages in the registration of the accuracy based-on points and the robustness based-on curves,our algorithm is an effective medical image registration algorithm.