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Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres

We present visual methods for the analysis and comparison of the results of curved fibre reconstruction algorithms, i.e., of algorithms extracting characteristics of curved fibres from X-ray computed tomography scans. In this work, we extend previous methods for the analysis and comparison of result...

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Autores principales: Fröhler, Bernhard, Elberfeld, Tim, Möller, Torsten, Hege, Hans-Christian, De Beenhouwer, Jan, Sijbers, Jan, Kastner, Johann, Heinzl, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932496/
https://www.ncbi.nlm.nih.gov/pubmed/33767574
http://dx.doi.org/10.1080/10589759.2020.1774583
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author Fröhler, Bernhard
Elberfeld, Tim
Möller, Torsten
Hege, Hans-Christian
De Beenhouwer, Jan
Sijbers, Jan
Kastner, Johann
Heinzl, Christoph
author_facet Fröhler, Bernhard
Elberfeld, Tim
Möller, Torsten
Hege, Hans-Christian
De Beenhouwer, Jan
Sijbers, Jan
Kastner, Johann
Heinzl, Christoph
author_sort Fröhler, Bernhard
collection PubMed
description We present visual methods for the analysis and comparison of the results of curved fibre reconstruction algorithms, i.e., of algorithms extracting characteristics of curved fibres from X-ray computed tomography scans. In this work, we extend previous methods for the analysis and comparison of results of different fibre reconstruction algorithms or parametrisations to the analysis of curved fibres. We propose fibre dissimilarity measures for such curved fibres and apply these to compare multiple results to a specified reference. We further propose visualisation methods to analyse differences between multiple results quantitatively and qualitatively. In two case studies, we show that the presented methods provide valuable insights for advancing and parametrising fibre reconstruction algorithms, and support in improving their results in characterising curved fibres.
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spelling pubmed-79324962021-03-23 Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres Fröhler, Bernhard Elberfeld, Tim Möller, Torsten Hege, Hans-Christian De Beenhouwer, Jan Sijbers, Jan Kastner, Johann Heinzl, Christoph Nondestruct Test Eval Research Article We present visual methods for the analysis and comparison of the results of curved fibre reconstruction algorithms, i.e., of algorithms extracting characteristics of curved fibres from X-ray computed tomography scans. In this work, we extend previous methods for the analysis and comparison of results of different fibre reconstruction algorithms or parametrisations to the analysis of curved fibres. We propose fibre dissimilarity measures for such curved fibres and apply these to compare multiple results to a specified reference. We further propose visualisation methods to analyse differences between multiple results quantitatively and qualitatively. In two case studies, we show that the presented methods provide valuable insights for advancing and parametrising fibre reconstruction algorithms, and support in improving their results in characterising curved fibres. Taylor & Francis 2020-06-29 /pmc/articles/PMC7932496/ /pubmed/33767574 http://dx.doi.org/10.1080/10589759.2020.1774583 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fröhler, Bernhard
Elberfeld, Tim
Möller, Torsten
Hege, Hans-Christian
De Beenhouwer, Jan
Sijbers, Jan
Kastner, Johann
Heinzl, Christoph
Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
title Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
title_full Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
title_fullStr Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
title_full_unstemmed Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
title_short Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
title_sort analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932496/
https://www.ncbi.nlm.nih.gov/pubmed/33767574
http://dx.doi.org/10.1080/10589759.2020.1774583
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