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¶
In the latest development version of ASTRA (1.9.9.dev), we have made some consistency improvements to the grey value output ranges of the FP and BP operations. See the News section for more information.
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.7 dec 2016: ASTRA v1.8 released
Downloads¶
Main downloads of the latest development and official releases. We recommend the development release currently.
ASTRA v1.9.0.dev11 for Windows 64 bit CUDA/MATLAB: astra-1.9.0.dev11-matlab-win-x64.zip
ASTRA v1.9.0.dev11 for Windows 64 bit CUDA/Python 2.7: astra-1.9.0.dev11-python27-win-x64.zip
ASTRA v1.9.0.dev11 for Windows 64 bit CUDA/Python 3.7: astra-1.9.0.dev11-python37-win-x64.zip
ASTRA v1.9.0.dev11 Source Code for Windows (Visual Studio 2017): astra-1.9.0.dev11.zip
ASTRA v1.9.0.dev Source Code for Linux: https://github.com/astra-toolbox/astra-toolbox
Python packages also available in Conda:
conda install -c astra-toolbox/label/dev astra-toolbox
ASTRA v1.8.3 for Windows 64 bit CUDA/MATLAB: astra-1.8.3-matlab-win-x64.zip
ASTRA v1.8.3 for Windows 64 bit CUDA/Python 2.7: astra-1.8.3-python27-win-x64.zip
ASTRA v1.8.3 for Windows 64 bit CUDA/Python 3.6: astra-1.8.3-python36-win-x64.zip
ASTRA v1.8.3 Source Code for Windows (Visual Studio 2015): astra-1.8.3.zip
ASTRA v1.8.3 Source Code for Linux: https://github.com/astra-toolbox/astra-toolbox/releases/tag/v1.8.3
Python packages also available in Conda:
conda install -c astra-toolbox astra-toolbox
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/