Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field

arXiv:2303.10611v2 Announce Type: replace-cross
Abstract: Undersampled MRI reconstruction is crucial for accelerating clinical scanning. Dual-domain reconstruction network is performant among SoTA deep learning methods. In this paper, we rethink dual-domain model design from the perspective of the receptive field, which is needed for image recovery and K-space interpolation problems. Further, we introduce domain-specific modules for dual-domain reconstruction, namely k-space global initialization and image-domain parallel local detail enhancement. We evaluate our modules by translating a SoTA method DuDoRNet under different conventions …

abstract arxiv clinical cs.cv deep learning design domain eess.iv image model design mri network paper perspective recovery sota type