X-ray to Volume Registration¶
Training patient-specific 2D/3D registration models in 5 minutes
A single CLI/API for training models and registering clinical data
100x faster patient-specific model training than DiffPose
Submillimeter registration accuracy with new image similarity metrics
Human-interpretable pose parameters for training your own models
Pure Python/PyTorch implementation
Supports macOS, Linux, and Windows
Manuscript¶
Rapid patient-specific neural networks for intraoperative X-ray to volume registration.
Vivek Gopalakrishnan, Neel Dey, David-Dimitris Chlorogiannis, Andrew Abumoussa, Anna M. Larson, Darren B. Orbach, Sarah Frisken, and Polina Golland.