Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration
With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3-D rigid registration, we propose deep learning-based methods that are trained to find the 3-D position of arbitrarily-oriented subjects or anatomy in a canonical space based on slices or volumes of medical images. …