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Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data.
Pelt, Daniël M; Gürsoy, Dogˇa; Palenstijn, Willem Jan; Sijbers, Jan; De Carlo, Francesco; Batenburg, Kees Joost.
Afiliación
  • Pelt DM; Centrum Wiskunde and Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
  • Gürsoy D; Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439-4837, USA.
  • Palenstijn WJ; Centrum Wiskunde and Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
  • Sijbers J; iMinds-Vision Lab, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium.
  • De Carlo F; Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439-4837, USA.
  • Batenburg KJ; Centrum Wiskunde and Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
J Synchrotron Radiat ; 23(Pt 3): 842-9, 2016 05.
Article en En | MEDLINE | ID: mdl-27140167
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Países Bajos