The Method for Medical Image Registration Based on Weighted Mutual Information
Qingfan Liu · Ceshi jishu xuebao · 2014
The mutual information is widely used as the measure function in multimodality medical image registration. But this method might fail when registering images are not ideal. In order to improve the stability, an improved method of weighted mutual information is proposed. Firstly, a certain region of interest is selected by the method of histogram assisted. Then, the mutual information of the local region of interest and the global mutual information are calculated respectively. Finally, by combining two different weighting mutual information, two new registration measure functions are constructed as the basis of image registration. The experimental results show that the improved method has higher accuracy and better robustness by the comparison of characteristics,registration errors and registration times for three measurement functions.