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

Chen, Ke and Han, Huan (2024) Three-stage approach for 2D/3D diffeomorphic multimodality image registration with textural control. SIAM Journal on Imaging Sciences, 17 (3). 1690 - 1728. ISSN 1936-4954 (https://doi.org/10.1137/23M1583971)

[thumbnail of Chen-Han-SIAM-JIS-2024-Three-stage-approach-for-2D-3D-diffeomorphic-multi-modality-image-registration]
Preview
 Text. Filename: Chen-Han-SIAM-JIS-2024-Three-stage-approach-for-2D-3D-diffeomorphic-multi-modality-image-registration.pdf
Accepted Author Manuscript
License: Creative Commons Attribution 4.0 logo
Download (3MB)| Preview

Abstract

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.

ORCID iDs

Chen, Ke ORCID logoORCID: https://orcid.org/0000-0002-6093-6623 and Han, Huan;

Persistent Identifier

https://doi.org/10.17868/strath.00089217
CORE (COnnecting REpositories)