scikit-surgeryfred 0.1.5

FRED provides an interactive demonstration of fiducial based registration for teaching purposes

Author: Stephen Thompson

This is the Fiducial Registration Educational Demonstration (SciKit-SurgeryFRED), part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).

Fiducial Registration Educational Demonstration is intended to be used as part of an online tutorial in using fiducial based registration. The tutorial covers the basic theory of fiducial based registration, which is used widely in image guided interventions. The tutorial aims to help the students develop an intuitive understanding of key concepts in fiducial based registration, including Fiducial Localisation Error, Fiducial Registration Error, and Target Registration Error.

Citing

If you use SciKit-SurgeryFRED in your research or teaching please cite our paper:

Stephen Thompson, Tom Dowrick, Mian Ahmad, Jeremy Opie, and Matthew J. Clarkson “Are fiducial registration error and target registration error correlated? SciKit-SurgeryFRED for teaching and research”, Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, 115980U (15 February 2021); https://doi.org/10.1117/12.2580159

Specific releases can be cited via the Zenodo tag.

SciKit-Surgery can also be cited as:

Thompson S, Dowrick T, Ahmad M, et al. “SciKit-Surgery: compact libraries for surgical navigation.” International Journal of Computer Assisted Radiology and Surgery. 2020 May. https://doi.org/10.1007/s11548-020-02180-5

Developing

Cloning

You can clone the repository using the following command:

git clone https://github.com/SciKit-Surgery/scikit-surgeryfred

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository

Licensing and copyright

Copyright 2020 University College London. Fiducial Registration Educational Demonstration is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.