The ASTRA Toolbox

The ASTRA Toolbox is a MATLAB and Python toolbox of high-performance GPU primitives for 2D and 3D tomography.

We support 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning.

A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS.

The basic forward and backward projection operations are GPU-accelerated, and directly callable from MATLAB and Python to enable building new algorithms.

The source code of the ASTRA Toolbox is available on GitHub.

Latest News

  • For those visiting ICTMS 2019 in Australia, we will host an ASTRA workshop there on 22 July 2019.
  • Windows Matlab/Python packages of the current 1.9.0.dev version of ASTRA git master are now available for download below. These require CUDA 9.0+.
  • We now have development Python packages available from ASTRA git master on conda. Quick installation instructions: conda install -c astra-toolbox/label/dev astra-toolbox .
  • From 5 to 7 April 2017, the Vision Lab organizes an ASTRA Toolbox training session at the University of Antwerp. For more information, please go to http://www.visielab.uantwerpen.be/events/astra-toolbox-training-school .
  • 7 dec 2016: ASTRA v1.8 released

Downloads

Main downloads of the latest development and official releases. We recommend the development release currently.

References

If you use the ASTRA Toolbox for your research, we would appreciate it if you would refer to the following papers:

  • W. van Aarle, W. J. Palenstijn, J. Cant, E. Janssens, F. Bleichrodt, A. Dabravolski, J. De Beenhouwer, K. J. Batenburg, and J. Sijbers, “Fast and Flexible X-ray Tomography Using the ASTRA Toolbox”, Optics Express, 24(22), 25129-25147, (2016), http://dx.doi.org/10.1364/OE.24.025129
  • W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography”, Ultramicroscopy, 157, 35–47, (2015), http://dx.doi.org/10.1016/j.ultramic.2015.05.002

Additionally, if you use parallel beam GPU code, we would appreciate it if you would refer to the following paper:

  • W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)”, Journal of Structural Biology, vol. 176, issue 2, pp. 250-253, 2011, http://dx.doi.org/10.1016/j.jsb.2011.07.017

License

The ASTRA Toolbox is open source under the GPLv3 license.

Contact

email: astra@astra-toolbox.com website: http://www.astra-toolbox.com/

Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp http://visielab.uantwerpen.be/ and 2014-2016, CWI, Amsterdam http://www.cwi.nl/

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