| Name | astra-toolbox JSON |
| Version |
2.4.0
JSON |
| download |
| home_page | None |
| Summary | High-performance GPU primitives and algorithms for 2D and 3D tomography |
| upload_time | 2025-08-04 08:20:14 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | GPLv3 |
| keywords |
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| VCS |
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| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
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| coveralls test coverage |
No coveralls.
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**The ASTRA Toolbox** provides high-performance GPU primitives for 2D and 3D tomography. It supports 2D parallel and fan beam, and 3D parallel and cone beam geometries. 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 Python to enable building new algorithms.
## 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), https://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), https://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, https://dx.doi.org/10.1016/j.jsb.2011.07.017*
## License
The ASTRA Toolbox is open source under the GPLv3 license.
## Copyright
2010-2024, imec Vision Lab, University of Antwerp
2014-2024, CWI, Amsterdam
https://visielab.uantwerpen.be/ and https://www.cwi.nl/
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