Multi-modal medical image registration based on phase congruency and quantitative-qualitative mutual information
A new approach of multi-modal medical image registration is proposed to overcome the drawbacks of mutual information as taking no consideration of the space information, taking all intensities without distinction, and being sensitive to noise. The proposed method firstly extracts the phase congruencies of the reference and floating image, secondly, it computes quantitative-qualitative mutual information with the phase congruency mappings, finally, the geometric transform is optimized by Particle Swarm Optimization. The quantitative-qualitative mutual information used in our algorithm select the pixels whose utility are larger than the threshold of 1. In addition, Mutual information incorporating phase congruency assimilates the information of both intensity and space. Experiment results show that our approach is more robust in suppressing noise and can achieve higher accuracy.
phase congruency mutual information Particle Swarm Optimization image registration
Shan Zhang Hongbin Han Zhaoying Liu Bo Liu Fugen Zhou
Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing, China 100191 Department of Radiology, Peking University Third Hospital, Beijing, China 100191
国际会议
桂林
英文
1-6
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）