MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network

Xiaoru Gao, Woquan Zhong, Runze Wang, Alexander F. Heimann, Moritz Tannast, Guoyan Zheng

Abstract: Multimodal articulated image registration (MAIR) is a challenging problem because the resulting transformation needs to maintain rigidity for bony structures while allowing elastic deformation for surrounding soft tissues. Existing deep learning-based methods ignore the articulated structures and consider it as a pure deformable registration problem, leading to suboptimal results.