Three-stage approach for 2D/3D diffeomorphic multimodality image registration with textural control

Intensity inhomogeneity is a challenging task in image registration. Few past works have addressed the case of intensity inhomogeneity due to texture noise. To address this difficulty, we propose a novel three-stage approach for 2D/3D diffeomorphic multi-modality image registration. The proposed approach contains three stages: (I) H^-1+H⁰+H² decomposition which decomposes the image pairs into texture, noise and smooth component; (II) Blake-Zisserman homogenization which transforms the geometric features from different modalities into approximately the same modality in terms of the first-order and second-order edge information; (III) Image registration which combines the homogenized geometric features and mutual information. Based on the proposed approach, the greedy matching for multi-modality image registration is discussed and a coarse-to-fine algorithm is also proposed. Furthermore, several numerical tests are performed to validate the efficiency of the proposed approach.