The software is available for use under the MIT License.

If you have found this software useful in your work, we kindly ask that you cite the most appropriate references listed below.

The following outline may be helpful when determining which references to cite:

• Pose estimation of periacetabular osteotomy fragments with intraoperative X-ray navigation
  • Multiple-component and/or multiple-view 2D/3D registration
  • Single-view 2D/3D registration initialization using a single landmark
  • Automatic orbital search for automatic 2D/3D registration of subsequent views
  • Pelvis (or other bone)-as-fiducial object used to recover multiple-view geometry
  • Simulation of volumes with inserted screws and/or K-wires
  • Simulation of fluoroscopy with relocated femurs and/or osteotomy fragments, and with inserted screws/K-wires
  • Other general 2D/3D registration framework components
• Patch-based image similarity for intraoperative 2D/3D pelvis registration during periacetabular osteotomy
  • Single-view 2D/3D pelvis registration
  • Patch-based Grad-NCC 2D/3D registration similarity metric
  • Simulation of volumes with relocated femurs and/or osteotomy fragments
  • Simulation of fluoroscopy with relocated femurs and/or osteotomy fragments, but without inserted screws/K-wires
• Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration
  • Automatic 2D/3D registration using global search strategies
  • Automatic 2D/3D registration using combination of intensities and 2D features (segmentations and/or landmarks)
• Fast and automatic periacetabular osteotomy fragment pose estimation using intraoperatively implanted fiducials and single-view fluoroscopy
  • Reconstruction of 3D point fiducials using multiple-views and anatomical constraints
  • P3P solver using C-arm geometry information
  • Efficient pose estimation of two objects from a single view using point fiducials, image geometry-derived pruning, and anatomical constraints
• Smooth extrapolation of unknown anatomy via statistical shape models
  • Statistical shape modeling pipeline
  • Extrapolation of unobserved shape regions using a statistic model of observed regions
• Pelvis surface estimation from partial CT for computer-aided pelvic osteotomies
  • Statistical shape modeling and shape extrapolation specific to pelvis anatomy

References

Pose estimation of periacetabular osteotomy fragments with intraoperative X-ray navigation

Grupp, R.B., Hegeman, R.A., Murphy, R.J., Alexander, C.P., Otake, Y., McArthur, B.A., Armand, M. and Taylor, R.H., 2020. Pose estimation of periacetabular osteotomy fragments with intraoperative X-ray navigation. IEEE Transactions on Biomedical Engineering, 67(2), pp.441-452.
----------------------------------------------------------------------
@article{grupp2019pose,
  title={Pose estimation of periacetabular osteotomy fragments with intraoperative {X}-ray navigation},
  author={Grupp, Robert B 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={IEEE Transactions on Biomedical Engineering},
  volume={67},
  number={2},
  pages={441--452},
  year={2019},
  publisher={IEEE}
}

Patch-based image similarity for intraoperative 2D/3D pelvis registration during periacetabular osteotomy

Grupp, R.B., Armand, M. and Taylor, R.H., 2018. Patch-based image similarity for intraoperative 2D/3D pelvis registration during periacetabular osteotomy. In OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis (pp. 153-163). Springer, Cham.
----------------------------------------------------------------------
@incollection{grupp2018patch,
  title={Patch-based image similarity for intraoperative {2D}/{3D} pelvis registration during periacetabular osteotomy},
  author={Grupp, Robert B and Armand, Mehran and Taylor, Russell H},
  booktitle={OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis},
  pages={153--163},
  year={2018},
  publisher={Springer}
}

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

Grupp, R.B., Unberath, M., Gao, C., Hegeman, R.A., Murphy, R.J., Alexander, C.P., Otake, Y., McArthur, B.A., Armand, M. and Taylor, R.H., 2020. Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration. International Journal of Computer Assisted Radiology and Surgery, pp.1-11.
----------------------------------------------------------------------
@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},
  pages={1--11},
  publisher={Springer}
}

Fast and automatic periacetabular osteotomy fragment pose estimation using intraoperatively implanted fiducials and single-view fluoroscopy

Grupp, R., Murphy, R., Hegeman, R., Alexander, C., Unberath, M., Otake, Y., McArthur, B., Armand, M. and Taylor, R.H., 2020. Fast and automatic periacetabular osteotomy fragment pose estimation using intraoperatively implanted fiducials and single-view fluoroscopy. Physics in Medicine & Biology.
----------------------------------------------------------------------
@article{grupp2020fast,
  title={Fast and automatic periacetabular osteotomy fragment pose estimation using intraoperatively implanted fiducials and single-view fluoroscopy},
  author={Grupp, Robert and Murphy, Ryan and Hegeman, Rachel and Alexander, Clayton and Unberath, Mathias and Otake, Yoshito and McArthur, Benjamin and Armand, Mehran and Taylor, Russell H},
  journal={Physics in Medicine \& Biology},
  year={2020},
  publisher={IOP Publishing}
}

Smooth extrapolation of unknown anatomy via statistical shape models

Grupp, R.B., Chiang, H., Otake, Y., Murphy, R.J., Gordon, C.R., Armand, M. and Taylor, R.H., 2015, March. Smooth extrapolation of unknown anatomy via statistical shape models. In Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 9415, p. 941524). International Society for Optics and Photonics.
----------------------------------------------------------------------
@inproceedings{grupp2015smooth,
  title={Smooth extrapolation of unknown anatomy via statistical shape models},
  author={Grupp, Robert B and Chiang, H and Otake, Yoshito and Murphy, Ryan J and Gordon, Chad R and Armand, Mehran and Taylor, Russell H},
  booktitle={Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling},
  volume={9415},
  pages={941524},
  year={2015},
  organization={International Society for Optics and Photonics}
}

Pelvis surface estimation from partial CT for computer-aided pelvic osteotomies

Grupp, R., Otake, Y., Murphy, R., Parvizi, J., Armand, M. and Taylor, R., 2016, February. Pelvis surface estimation from partial CT for computer-aided pelvic osteotomies. In Orthopaedic Proceedings (Vol. 98, No. SUPP_5, pp. 55-55). The British Editorial Society of Bone & Joint Surgery.
----------------------------------------------------------------------
@inproceedings{grupp2016pelvis,
  title={Pelvis surface estimation from partial {CT} for computer-aided pelvic osteotomies},
  author={Grupp, R and Otake, Y and Murphy, R and Parvizi, J and Armand, M and Taylor, R},
  booktitle={Orthopaedic Proceedings},
  volume={98},
  number={SUPP\_5},
  pages={55--55},
  year={2016},
  organization={The British Editorial Society of Bone \& Joint Surgery}
}