A Novel Non-Rigid Point Registration Method for Medical Image
Wei Yao · Journal of Wuhan University · 2007
A novel point pattern matching method is presented for medical image registration.It can jointly estimate the correspondence and non-rigid transformations between two point patterns that may be of different sizes.The algorithm utilizes the filter method for the correspondence probability,then the relaxation labeling is used for consistent result.And for final robust point pattern matching,it is embedded in an iterative matching frame,in which the Gaussian radial basis function is used for the non-rigid mapping.Experiments on both synthetic point-sets and on real world data show that matching errors of the algorithm were less than 0.13 while degree of deformation was 5%,outlier ratio was 50% and noise standard error was 5% respectively.