scikit-surgerycore contains commonly used Image Guided Surgery algorithms and tools
Project description
Description
SciKit-SurgeryCore implements algorithms and tools that are common to all SciKit-Surgery packages.
SciKit-SurgeryCore is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).
Features
A Configuration Manager to load parameters from a .json file
A Transform Manager to manage combinations of 4x4 transformation matrices
Corresponding point (i.e Landmark) based registration, based on Arun et al., 1987.
Rotaiton/translation Matrix construction and validation functions, checking a numpy array is a camera matrix, rotation matrix, rigid transform etc.
Citing
If you make use of SciKit-Surgery libraries in your work, please cite the following paper:
Thompson S, Dowrick T, Ahmad M, et al.SciKit-Surgery: compact libraries for surgical navigation.International Journal of Computer Assisted Radiology and Surgery. May 2020.DOI: 10.1007/s11548-020-02180-5
Installing
You can pip install as follows:
pip install scikit-surgerycore
Developing
Cloning
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgerycore.git
Running the tests
You can run the unit tests by installing and running tox:
pip install tox tox
Contributing
Please see the contributing guidelines.
Useful links
Licensing and copyright
Copyright 2018 University College London. scikit-surgerycore is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
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