2D-3D deformable image registration of histology slide and micro-CT with DISA-based initialization.

ABSTRACT: Recent developments in the registration of histology and micro-computed tomography (µCT) have broadened the perspective of pathological applications such as virtual histology based on µCT. This topic remains challenging because of the low image quality of soft tissue CT. Additionally, soft tissue samples usually deform during the histology slide preparation, making it difficult to correlate the structures between the histology slide and µCT. In this work, we propose a novel 2D-3D multi-modal deformable image registration method. The method utilizes an initial global 2D-3D registration using an ML-based differentiable similarity measure. The registration is then finalized by an analytical out-of-plane deformation refinement. The method is evaluated on datasets acquired from tonsil and tumor

SUBMITTER: Chen J 

PROVIDER: S-EPMC12271352 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature