Multi-Modal Diffeomorphic Demons Registration Based on Mutual Information
Diffeomorphic demons algorithm is an efficient and robust method in nonrigid image registration. It uses mean squared error as the similarity measure and set the gradient and gray level difference as the interior and exterior force respectively to make the points move. However it cannot deal with multiple modality images. In this paper, mutual information is used as the similarity measure instead of mean squared error and the gradient of mutual information respect to parameters is set as the force to make the points move. Then the diffeomorphic demons algorithm is extended to match multi-modal images. The experiment with magnetic resonance Tl image and magnetic resonance T2 image shows that this method is effective and performs better and more quickly compared with B-spline free-form deformation method.
demons diffeomorphic mutual information multi-modality nonrigid registration
Ying Li Yonggang Shi Fa Jie Zhiwen Liu Yong Yuan
School of Information and Electronics Beijing Institute of Technology Beijing, 100081, China
国际会议
上海
英文
802-806
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）