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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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.
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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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