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.
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/glenoidplanefitting
We use tox to run tests and run static code analysis using Lint.
pip install tox python -m tox
You can pip install directly from the repository as follows:
pip install git+https://github.com/SciKit-Surgery/glenoidplanefitting
Please see the contributing guidelines.
Copyright 2021 University College London. glenoidplanefitting is released under the BSD-3 license. Please see the license file for details.