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Implementation and assessment of the black body bias correction in quantitative neutron imaging
We describe in this paper the experimental procedure, the data treatment and the quantification of the black body correction: an experimental approach to compensate for scattering and systematic biases in quantitative neutron imaging based on experimental data. The correction algorithm is based on t...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319815/ https://www.ncbi.nlm.nih.gov/pubmed/30608985 http://dx.doi.org/10.1371/journal.pone.0210300 |
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author | Carminati, Chiara Boillat, Pierre Schmid, Florian Vontobel, Peter Hovind, Jan Morgano, Manuel Raventos, Marc Siegwart, Muriel Mannes, David Gruenzweig, Christian Trtik, Pavel Lehmann, Eberhard Strobl, Markus Kaestner, Anders |
author_facet | Carminati, Chiara Boillat, Pierre Schmid, Florian Vontobel, Peter Hovind, Jan Morgano, Manuel Raventos, Marc Siegwart, Muriel Mannes, David Gruenzweig, Christian Trtik, Pavel Lehmann, Eberhard Strobl, Markus Kaestner, Anders |
author_sort | Carminati, Chiara |
collection | PubMed |
description | We describe in this paper the experimental procedure, the data treatment and the quantification of the black body correction: an experimental approach to compensate for scattering and systematic biases in quantitative neutron imaging based on experimental data. The correction algorithm is based on two steps; estimation of the scattering component and correction using an enhanced normalization formula. The method incorporates correction terms into the image normalization procedure, which usually only includes open beam and dark current images (open beam correction). Our aim is to show its efficiency and reproducibility: we detail the data treatment procedures and quantitatively investigate the effect of the correction. Its implementation is included within the open source CT reconstruction software MuhRec. The performance of the proposed algorithm is demonstrated using simulated and experimental CT datasets acquired at the ICON and NEUTRA beamlines at the Paul Scherrer Institut. |
format | Online Article Text |
id | pubmed-6319815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63198152019-01-19 Implementation and assessment of the black body bias correction in quantitative neutron imaging Carminati, Chiara Boillat, Pierre Schmid, Florian Vontobel, Peter Hovind, Jan Morgano, Manuel Raventos, Marc Siegwart, Muriel Mannes, David Gruenzweig, Christian Trtik, Pavel Lehmann, Eberhard Strobl, Markus Kaestner, Anders PLoS One Research Article We describe in this paper the experimental procedure, the data treatment and the quantification of the black body correction: an experimental approach to compensate for scattering and systematic biases in quantitative neutron imaging based on experimental data. The correction algorithm is based on two steps; estimation of the scattering component and correction using an enhanced normalization formula. The method incorporates correction terms into the image normalization procedure, which usually only includes open beam and dark current images (open beam correction). Our aim is to show its efficiency and reproducibility: we detail the data treatment procedures and quantitatively investigate the effect of the correction. Its implementation is included within the open source CT reconstruction software MuhRec. The performance of the proposed algorithm is demonstrated using simulated and experimental CT datasets acquired at the ICON and NEUTRA beamlines at the Paul Scherrer Institut. Public Library of Science 2019-01-04 /pmc/articles/PMC6319815/ /pubmed/30608985 http://dx.doi.org/10.1371/journal.pone.0210300 Text en © 2019 Carminati et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Carminati, Chiara Boillat, Pierre Schmid, Florian Vontobel, Peter Hovind, Jan Morgano, Manuel Raventos, Marc Siegwart, Muriel Mannes, David Gruenzweig, Christian Trtik, Pavel Lehmann, Eberhard Strobl, Markus Kaestner, Anders Implementation and assessment of the black body bias correction in quantitative neutron imaging |
title | Implementation and assessment of the black body bias correction in quantitative neutron imaging |
title_full | Implementation and assessment of the black body bias correction in quantitative neutron imaging |
title_fullStr | Implementation and assessment of the black body bias correction in quantitative neutron imaging |
title_full_unstemmed | Implementation and assessment of the black body bias correction in quantitative neutron imaging |
title_short | Implementation and assessment of the black body bias correction in quantitative neutron imaging |
title_sort | implementation and assessment of the black body bias correction in quantitative neutron imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319815/ https://www.ncbi.nlm.nih.gov/pubmed/30608985 http://dx.doi.org/10.1371/journal.pone.0210300 |
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