scikit-surgeryvtk · PyPI

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The SciKit-Surgery paper

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Author(s): Stephen Thompson, Matt Clarkson, Thomas Dowrick and Miguel Xochicale; Contributor(s): 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, build documentation, and other options by installing and running tox:

pip install tox
tox
tox -e docs
tox -e lint

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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