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TomoBank : A tomographic data repository for computational x-ray science

De Carlo, Francesco; Gürsoy, Doǧa; Ching, Daniel J.; Batenburg, K. Joost; Ludwig, Wolfgang; Mancini, Lucia; Marone, Federica; Mokso, Rajmund LU ; Pelt, Daniël M. and Sijbers, Jan, et al. (2018) In Measurement Science and Technology 29(3).
Abstract

There is a widening gap between the fast advancement of computational methods for tomographic reconstruction and their successful implementation in production software at various synchrotron facilities. This is due in part to the lack of readily available instrument datasets and phantoms representative of real materials for validation and comparison of new numerical methods. Recent advancements in detector technology have made sub-second and multi-energy tomographic data collection possible (Gibbs et al 2015 Sci. Rep. 5 11824), but have also increased the demand to develop new reconstruction methods able to handle in situ (Pelt and Batenburg 2013 IEEE Trans. Image Process. 22 5238-51) and dynamic systems (Mohan et al 2015 IEEE Trans.... (More)

There is a widening gap between the fast advancement of computational methods for tomographic reconstruction and their successful implementation in production software at various synchrotron facilities. This is due in part to the lack of readily available instrument datasets and phantoms representative of real materials for validation and comparison of new numerical methods. Recent advancements in detector technology have made sub-second and multi-energy tomographic data collection possible (Gibbs et al 2015 Sci. Rep. 5 11824), but have also increased the demand to develop new reconstruction methods able to handle in situ (Pelt and Batenburg 2013 IEEE Trans. Image Process. 22 5238-51) and dynamic systems (Mohan et al 2015 IEEE Trans. Comput. Imaging 1 96-111) that can be quickly incorporated in beamline production software (Gürsoy et al 2014 J. Synchrotron Radiat. 21 1188-93). The x-ray tomography data bank, tomoBank, provides a repository of experimental and simulated datasets with the aim to foster collaboration among computational scientists, beamline scientists, and experimentalists and to accelerate the development and implementation of tomographic reconstruction methods for synchrotron facility production software by providing easy access to challenging datasets and their descriptors.

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publication status
published
subject
keywords
tomographic data analysis, tomographic data archive, tomography, x-ray tomography
in
Measurement Science and Technology
volume
29
issue
3
publisher
IOP Publishing
external identifiers
  • scopus:85042522033
ISSN
0957-0233
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language
English
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yes
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c4bb45f8-053c-47ca-b004-4451d2df1356
date added to LUP
2018-03-08 13:36:45
date last changed
2018-05-29 09:35:48
@article{c4bb45f8-053c-47ca-b004-4451d2df1356,
  abstract     = {<p>There is a widening gap between the fast advancement of computational methods for tomographic reconstruction and their successful implementation in production software at various synchrotron facilities. This is due in part to the lack of readily available instrument datasets and phantoms representative of real materials for validation and comparison of new numerical methods. Recent advancements in detector technology have made sub-second and multi-energy tomographic data collection possible (Gibbs et al 2015 Sci. Rep. 5 11824), but have also increased the demand to develop new reconstruction methods able to handle in situ (Pelt and Batenburg 2013 IEEE Trans. Image Process. 22 5238-51) and dynamic systems (Mohan et al 2015 IEEE Trans. Comput. Imaging 1 96-111) that can be quickly incorporated in beamline production software (Gürsoy et al 2014 J. Synchrotron Radiat. 21 1188-93). The x-ray tomography data bank, tomoBank, provides a repository of experimental and simulated datasets with the aim to foster collaboration among computational scientists, beamline scientists, and experimentalists and to accelerate the development and implementation of tomographic reconstruction methods for synchrotron facility production software by providing easy access to challenging datasets and their descriptors.</p>},
  articleno    = {034004},
  author       = {De Carlo, Francesco and Gürsoy, Doǧa and Ching, Daniel J. and Batenburg, K. Joost and Ludwig, Wolfgang and Mancini, Lucia and Marone, Federica and Mokso, Rajmund and Pelt, Daniël M. and Sijbers, Jan and Rivers, Mark},
  issn         = {0957-0233},
  keyword      = {tomographic data analysis,tomographic data archive,tomography,x-ray tomography},
  language     = {eng},
  month        = {02},
  number       = {3},
  publisher    = {IOP Publishing},
  series       = {Measurement Science and Technology},
  title        = {TomoBank : A tomographic data repository for computational x-ray science},
  url          = {http://dx.doi.org/},
  volume       = {29},
  year         = {2018},
}