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Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data.

Authors :
Pelt DM
Gürsoy D
Palenstijn WJ
Sijbers J
De Carlo F
Batenburg KJ
Source :
Journal of synchrotron radiation [J Synchrotron Radiat] 2016 May; Vol. 23 (Pt 3), pp. 842-9. Date of Electronic Publication: 2016 Apr 28.
Publication Year :
2016

Abstract

The processing of tomographic synchrotron data requires advanced and efficient software to be able to produce accurate results in reasonable time. In this paper, the integration of two software toolboxes, TomoPy and the ASTRA toolbox, which, together, provide a powerful framework for processing tomographic data, is presented. The integration combines the advantages of both toolboxes, such as the user-friendliness and CPU-efficient methods of TomoPy and the flexibility and optimized GPU-based reconstruction methods of the ASTRA toolbox. It is shown that both toolboxes can be easily installed and used together, requiring only minor changes to existing TomoPy scripts. Furthermore, it is shown that the efficient GPU-based reconstruction methods of the ASTRA toolbox can significantly decrease the time needed to reconstruct large datasets, and that advanced reconstruction methods can improve reconstruction quality compared with TomoPy's standard reconstruction method.

Details

Language :
English
ISSN :
1600-5775
Volume :
23
Issue :
Pt 3
Database :
MEDLINE
Journal :
Journal of synchrotron radiation
Publication Type :
Academic Journal
Accession number :
27140167
Full Text :
https://doi.org/10.1107/S1600577516005658