scikit-surgeryvtk · PyPI

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The SciKit-Surgery paper

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Author(s): Stephen Thompson and Matt Clarkson; Contributor(s): Miguel Xochicale, Thomas Dowrick, and Mian Ahmad.

scikit-surgeryvtk implements VTK for Image Guided Surgery applications.

scikit-surgeryvtk 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).

scikit-surgeryvtk is tested on Python 3.8. and may support other Python versions.

Features

Functionality includes:

Load 3D surface models from vtl/stl/vtp etc. files.
A widget to overlay 3D models onto a background image e.g. from webcam/video file, useful for Augmented Reality (AR) overlays, using VTK.
Functions for working with calibrated cameras, and projecting points from 3D to 2D.
A widget to drive a stereo interlaced monitor.
Functions to voxelise data and calculate distance fields.

Installing

You can pip install as follows:

pip install scikit-surgeryvtk

Developing

You can clone the repository using the following command:

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

Running the tests

You can run the unit tests by installing and running tox:

pip install tox
tox

Encountering Problems?

Please get in touch or raise an issue.

Contributing

Please see the contributing guidelines.

Useful links

Licensing and copyright

Copyright 2020 University College London. scikit-surgeryvtk is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.

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