scikit-surgerycore 0.7.2

scikit-surgerycore contains commonly used Image Guided Surgery algorithms and tools

Description

SciKit-SurgeryCore implements algorithms and tools that are common to all SciKit-Surgery packages.

SciKit-SurgeryCore 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).

Features

• A Configuration Manager to load parameters from a .json file

• A Transform Manager to manage combinations of 4x4 transformation matrices

• Corresponding point (i.e Landmark) based registration, based on Arun et al., 1987.

• Rotaiton/translation Matrix construction and validation functions, checking a numpy array is a camera matrix, rotation matrix, rigid transform etc.

Citing

If you make use of SciKit-Surgery libraries in your work, please cite the following paper:

Thompson S, Dowrick T, Ahmad M, et al.

SciKit-Surgery: compact libraries for surgical navigation.

International Journal of Computer Assisted Radiology and Surgery. May 2020.

DOI: 10.1007/s11548-020-02180-5

Installing

You can pip install as follows:

pip install scikit-surgerycore

Developing

Cloning

You can clone the repository using the following command:

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

Running the tests

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

pip install tox
 tox

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository

• Documentation

Licensing and copyright

Copyright 2018 University College London. scikit-surgerycore is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.