Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration

arXiv:2405.02692v1 Announce Type: new
Abstract: This paper aims to create a deep learning framework that can estimate the deformation vector field (DVF) for directly registering abdominal MRI-CT images. The proposed method assumed a diffeomorphic deformation. By using topology-preserved deformation features extracted from the probabilistic diffeomorphic registration model, abdominal motion can be accurately obtained and utilized for DVF estimation. The model integrated Swin transformers, which have demonstrated superior performance in motion tracking, into the convolutional neural network (CNN) for deformation feature …

abstract arxiv create cs.cv deep learning deep learning framework features framework image images mri paper physics.med-ph registration topology transformer type vector