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).
The software consists of a collection of algorithms that are commonly used to solve (medical) image registration
problems. 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 SimpleElastix, making it available in languages like C++, Python, Java, R, Ruby, Octave, C#, and Lua.
The authors of elastix are Stefan Klein and Marius Staring. Their contact information:
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. downloaddoi
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. downloaddoi
How to use this documentation
For a short introduction to elastix, what it can do and how it is used, see the About page.
The binaries and sources can be downloaded from the Download page. You can download the elastixmanual for a lot of information regarding the use of elastix.
You can subscribe to the mailing list to stay informed about new developments of elastix, and to communicate with other users and the developers. The following link will take you to the subscription page: