Multi-modal diffeomorphic demons registration based on point-wise mutual information
Huanxiang Lu, Mauricio Reyes, A. Serifovic, Stefan Weber, Y. Sakurai, Hitoshi Yamagata, Philippe Claude Cattin · 2010
In this paper we propose a variational approach for multimodal image registration based on the diffeomorphic demons algorithm. Diffeomorphic demons has proven to be a robust and efficient way for intensity-based image registration. However, the main drawback is that it cannot deal with multiple modalities. We propose to replace the standard demons similarity metric (image intensity differences) by point-wise mutual information (PMI) in the energy function. By comparing the accuracy between our PMI based diffeomorphic demons and the B-Spline based free-form deformation approach (FFD) on simulated deformations, we show the proposed algorithm performs significantly better.