Medical Image Registration Based on Mutual Strictly Concave Function Measures
作者
Chang Liu,Yu Meng
摘要
In order to enhance the medical image registration speed and enlarge the stable region,a number of new registration measures were proposed.The new measures were derived by replacing the Shannon entropy function in mutual information with any strictly concave function,which were named mutual strictly concave function measures(NM_i,i=1,2,…,6).The mutual information measure is a special case.At the same time this paper gave a new standard of distinguishing the registration results,i.e.the stable region and the stable region width.The test results showed that NM_2,NM_4,NM_5 measures were better than the mutual information measure which was better than I_(0.2) and R_(0.2) measures.The three new measures expended less time than the mutual information,I_(0.2) and R_(0.2) measures,and they had larger stable region width than other methods.A multi-modality medical image nonrigid registration test was conducted by NM_2 measure and the good result was obtained.