Inter-modality image registration is an critical preprocessing step for many applications
within the routine clinical pathway. This paper presents an unsupervised deep inter-modality
registration network that can learn the optimal affine and non-rigid transformations
simultaneously. Inverse-consistency is an important property commonly ignored in recent
deep learning based inter-modality registration algorithms. We address this issue through
the proposed multi-task architecture and the new comprehensive transformation network …