An efficient medical image registration method based on mutual information model
Xin Peng, Qiang Chen, Benzheng Wei · 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery · 2010
Multimodal image registration has played an in creasingly important role in medical imaging. A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from feature information, mutual information, and relative entropy, as a new matching criterion. Using Harris corner detection a1gorithm for image feature detection,and feature characteristics are taken into account to compute a joint probability distribution of corresponding edge points in two images. Mutual information based on this function is minimized to find the best alignment parameters. Finally, the translation parameters are calculated by Powell optimazition algorithm. The experimental results demonstrate the effectiveness of the proposed registration scheme.