glenoidplanefitting 0.0.3

implements a plane fitting algorithm to read a vtk polydata file and outputs fitted plane

Authors: Asta Olafsdottir, Stephen Thompson

glenoidplanefitting provides tools for measuring the Glenoid version, useful when planning reconstructive shoulder surgery. glenoidplanefitting 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), in collaboration with surgeons at the Royal National Orthopaedic Hospital

glenoidplanefitting is tested on Python 3.x, but may work with other versions of Python

glenoidplanefitting currently requires the user to manually identify relevant anatomical landmarks on the scapula and glenoid dish. These points can then be passed to glenoidplanefitting to calculate the Glenoid version using multiple methods. Example usage:

python glenoidplanefitting.py --fried_points landmark_friedman.fcsv --output friedman.vtp --visualise glenoid.vtp

glenoidplanefitting is a work in progress with plans to automate the point picking to create software to enable a large scale comparison of different methods of Glenoid version methods on a clinical data set. If you are interested in contributing to this work please get in touch or follow the guides below.

Developing

Cloning

You can clone the repository using the following command:

git clone https://github.com/SciKit-Surgery/glenoidplanefitting

Running tests

We use tox to run tests and run static code analysis using Lint.

pip install tox
python -m tox

Installing

You can pip install directly from the repository as follows:

pip install git+https://github.com/SciKit-Surgery/glenoidplanefitting

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository

• Documentation

Licensing and copyright

Copyright 2021 University College London. glenoidplanefitting is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.