diffdrrdata 0.0.1

Open-source 2D/3D registration datasets and dataloaders for DiffDRR

DiffDRR Datasets

Install

pip install diffdrrdata

DiffDRR

DiffDRR is an differentiable X-ray renderer used for solving inverse problems in tomographic imaging. If you find DiffDRR useful in your work, please cite our paper:

@inproceedings{gopalakrishnan2022fast,
  title={Fast auto-differentiable digitally reconstructed radiographs for solving inverse problems in intraoperative imaging},
  author={Gopalakrishnan, Vivek and Golland, Polina},
  booktitle={Workshop on Clinical Image-Based Procedures},
  pages={1--11},
  year={2022},
  organization={Springer}
}

Datasets

We provide APIs to load the following open-source datasets into DiffDRR:

Dataset	Anatomy	# of Subjects	# of 2D Images	CTs	X-rays	Fiducials
DeepFluoro	pelvis	6	366	✅	✅	❌

If you use any of these datasets, please cite the original papers.

DeepFluoro

DeepFluoro (Grupp et al., 2020) provides paired X-ray fluoroscopy images and CT volume of the pelvis. The data were collected from six cadaveric subjects at John Hopkins University. Ground truth camera poses were estimated with an offline registration process. A visualization of the X-ray / CT pairs in the DeepFluoro dataset is available here.

@article{grupp2020automatic,
  title={Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration},
  author={Grupp, Robert B and Unberath, Mathias and Gao, Cong and Hegeman, Rachel A and Murphy, Ryan J and Alexander, Clayton P and Otake, Yoshito and McArthur, Benjamin A and Armand, Mehran and Taylor, Russell H},
  journal={International journal of computer assisted radiology and surgery},
  volume={15},
  pages={759--769},
  year={2020},
  publisher={Springer}
}