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.
31 Jan 2022: ASTRA v2.1 released. This is the official release of the 2.0.9 development version.
23 Dec 2021: There are now conda packages for development version 2.0.9 available in the
astra-toolbox/label/devconda channel to prepare for 2.1.0 in early 2022. This fixes a rare hang in our CUDA FFT code (and also speeds it up) in FBP_CUDA and FDK_CUDA, fixes GPULink support with unpadded rows, output gray value scaling for short-scan FDK, and conda compatibility issues with the conda-forge and nvidia conda channels.
27 Oct 2021: ASTRA v2.0 released. This official release wraps up all the consistency and compatibility improvements from the development releases over the past few years. See the entry for 17 Jan 2020 in our News section for more information on these gray value output range consistency improvements.
17 Jan 2020: 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.
9 Jul 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.
Main downloads of the latest official release.
ASTRA v2.1.0 for Windows 64 bit CUDA/MATLAB: astra-2.1.0-matlab-win-x64.zip
ASTRA v2.1.0 for Windows 64 bit CUDA/Python 3.9: astra-2.1.0-python39-win-x64.zip
ASTRA v2.1.0 Source Code for Windows (Visual Studio 2017): astra-2.1.0.zip
ASTRA v2.1.0 Source Code for Linux: https://github.com/astra-toolbox/astra-toolbox/releases/tag/v2.1.0
Python packages also available in Conda:
conda install -c astra-toolbox astra-toolbox
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
The ASTRA Toolbox is open source under the GPLv3 license.
email: firstname.lastname@example.org 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/