glenoidplanefitting

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.

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

pip install tox
python -m tox

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