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https://github.com/SuperElastix/elastix
Official elastix repository
https://github.com/SuperElastix/elastix
elastix registration toolbox
Last synced: 28 days ago
JSON representation
Official elastix repository
- Host: GitHub
- URL: https://github.com/SuperElastix/elastix
- Owner: SuperElastix
- License: apache-2.0
- Created: 2017-05-17T14:41:22.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2024-11-15T16:16:49.000Z (28 days ago)
- Last Synced: 2024-11-15T16:33:03.750Z (28 days ago)
- Topics: elastix, registration, toolbox
- Language: C++
- Homepage: http://elastix.dev
- Size: 93.4 MB
- Stars: 481
- Watchers: 25
- Forks: 116
- Open Issues: 75
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Governance: GOVERNANCE.md
Awesome Lists containing this project
- awesome_medical - Elastix
README
# elastix image registration toolbox #
[](https://github.com/SuperElastix/elastix/raw/main/LICENSE)
[](https://pypi.python.org/pypi/itk-elastix)
[](https://github.com/SuperElastix/elastix/actions)
[](https://elastix.dev/modelzoo/)
[](https://hub.docker.com/repository/docker/superelastix/elastix)
[](https://zenodo.org/doi/10.5281/zenodo.13366181)
Welcome to elastix: a toolbox for rigid and nonrigid registration of images.
elastix is open source software, based on the well-known [Insight Segmentation and Registration Toolkit (ITK)](https://itk.org/). The software consists of a collection of algorithms that are commonly used to perform (medical) image registration: the task of finding a spatial transformation, mapping one image (the _fixed_ image) to another (the _moving_ image), by optimizing relevant image similarity metrics. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. A command-line interface enables automated processing of large numbers of data sets, by means of scripting.
Nowadays elastix is accompanied by [ITKElastix](https://github.com/InsightSoftwareConsortium/ITKElastix) making it available in Python ([on Pypi](https://pypi.org/project/itk-elastix/)) and by [SimpleElastix](http://simpleelastix.github.io/), making it available in languages like C++, Python, Java, R, Ruby, C# and Lua. A docker image of the latest elastix build is available as well on [dockerhub](https://hub.docker.com/repository/docker/superelastix/elastix). Several plugins exist for those who wish to use the functionality of elastix in a graphical user interface, among others a [napari](https://github.com/SuperElastix/elastix_napari) and a [3Dslicer](https://github.com/lassoan/SlicerElastix) plugin.
## Authors ##
The lead developers of elastix are [Stefan Klein](https://github.com/stefanklein) and [Marius Staring](https://github.com/mstaring). This software was initially developed at the [Image Sciences Institute](http://www.isi.uu.nl), under supervision of [Josien P.W. Pluim](http://www.isi.uu.nl/People/Josien/). Today, [many](https://github.com/SuperElastix/elastix/graphs/contributors) have contributed to elastix.
If you use this software anywhere we would appreciate if you cite the following articles:
- S. Klein, M. Staring, K. Murphy, M.A. Viergever, J.P.W. Pluim, "elastix: a toolbox for intensity based medical image registration," IEEE Transactions on Medical Imaging, vol. 29, no. 1, pp. 196 - 205, January 2010. [download](https://elastix.dev/marius/publications/2010_j_TMI.php) [doi](http://dx.doi.org/10.1109/TMI.2009.2035616)
- D.P. Shamonin, E.E. Bron, B.P.F. Lelieveldt, M. Smits, S. Klein and M. Staring, "Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer’s Disease", Frontiers in Neuroinformatics, vol. 7, no. 50, pp. 1-15, January 2014. [download](https://elastix.dev/marius/publications/2014_j_FNI.php) [doi](http://dx.doi.org/10.3389/fninf.2013.00050)
Specific components of elastix are made by many; The relevant citation can be found [here](https://github.com/SuperElastix/elastix/wiki/How-to-cite-elastix-(components)).
In addition, you can use the elastix DOI identifiers from Zenodo to refer to specific software releases: https://zenodo.org/doi/10.5281/zenodo.13366181
## More information ##
More information, including an extensive manual and model zoo, can be found on the [wiki](https://github.com/SuperElastix/elastix/wiki)
Interactive tutorials are available in [Jupyter notebooks](https://mybinder.org/v2/gh/InsightSoftwareConsortium/ITKElastix/main?urlpath=lab/tree/examples%2FITK_Example01_SimpleRegistration.ipynb).
You can also subscribe to the [mailing list](https://groups.google.com/forum/#!forum/elastix-imageregistration) for questions. Information on contributing to `elastix` can be found [here](CONTRIBUTING.md).