An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques

A method for reconstructing polygonal paths of fibres in reinforced composites imaged using micro-computed tomography is formally described, implemented and tested. The algorithm has been crafted to be explicable, require no training data and behave uniformly in all axes or orientations. It consists...

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Detalles Bibliográficos
Autores: Julià i Juanola, Adrià, Ruiz Altisent, Marc, Boada, Imma
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/20922
Acceso en línea:http://hdl.handle.net/10256/20922
Access Level:acceso abierto
Palabra clave:Algorismes computacionals
Computer algorithms
Imatges -- Processament
Image processing
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spelling An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniquesJulià i Juanola, AdriàRuiz Altisent, MarcBoada, ImmaAlgorismes computacionalsComputer algorithmsImatges -- ProcessamentImage processingA method for reconstructing polygonal paths of fibres in reinforced composites imaged using micro-computed tomography is formally described, implemented and tested. The algorithm has been crafted to be explicable, require no training data and behave uniformly in all axes or orientations. It consists of four phases: (1) segmenting fibre regions using a scale-dependent Iterative Difference of Gaussians approach, (2) extracting directionality using the structure tensor minimum eigenvector, (3) automatically placing the seeds near a set of user-defined restricting surfaces, and (4) tracking fibres using a streamline-based integration method. The algorithm cost grows in relation to the target fibre diameter and is proportional to the number of voxels in the input volume. Its behaviour, ability to process very curved fibres, and error have been assessed using both synthetic and real datasets. The C++ implementation is performant and parallelizable, and produces helpful visualisations to gain insight of the intermediate and final resultsThis work has been financially supported by grants from the Spanish Government (Ministerio de Ciencia, Innovacion y Universidades) PID2019-106426RB-C31Open Access funding provided thanks to the CRUE-CSIC agreement with ElsevierElsevierAgencia Estatal de Investigación2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpeer-reviewedapplication/pdfhttp://hdl.handle.net/10256/20922http://hdl.handle.net/10256/20922Computer Methods in Applied Mechanics and Engineering, 2022, vol. 394, art.núm.114898Articles publicats (D-IMAE)Julià Juanola, Adrià Ruiz Altisent, Marc Boada, Imma 2022 An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques Computer Methods in Applied Mechanics and Engineering 394 art.núm.114898reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.cma.2022.114898info:eu-repo/semantics/altIdentifier/issn/0045-7825info:eu-repo/semantics/altIdentifier/eissn/1879-2138info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106426RB-C31Reconeixement 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:recercat.cat:10256/209222026-05-29T05:05:01Z
dc.title.none.fl_str_mv An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
title An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
spellingShingle An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
Julià i Juanola, Adrià
Algorismes computacionals
Computer algorithms
Imatges -- Processament
Image processing
title_short An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
title_full An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
title_fullStr An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
title_full_unstemmed An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
title_sort An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques
dc.creator.none.fl_str_mv Julià i Juanola, Adrià
Ruiz Altisent, Marc
Boada, Imma
author Julià i Juanola, Adrià
author_facet Julià i Juanola, Adrià
Ruiz Altisent, Marc
Boada, Imma
author_role author
author2 Ruiz Altisent, Marc
Boada, Imma
author2_role author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación
dc.subject.none.fl_str_mv Algorismes computacionals
Computer algorithms
Imatges -- Processament
Image processing
topic Algorismes computacionals
Computer algorithms
Imatges -- Processament
Image processing
description A method for reconstructing polygonal paths of fibres in reinforced composites imaged using micro-computed tomography is formally described, implemented and tested. The algorithm has been crafted to be explicable, require no training data and behave uniformly in all axes or orientations. It consists of four phases: (1) segmenting fibre regions using a scale-dependent Iterative Difference of Gaussians approach, (2) extracting directionality using the structure tensor minimum eigenvector, (3) automatically placing the seeds near a set of user-defined restricting surfaces, and (4) tracking fibres using a streamline-based integration method. The algorithm cost grows in relation to the target fibre diameter and is proportional to the number of voxels in the input volume. Its behaviour, ability to process very curved fibres, and error have been assessed using both synthetic and real datasets. The C++ implementation is performant and parallelizable, and produces helpful visualisations to gain insight of the intermediate and final results
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
peer-reviewed
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/20922
http://hdl.handle.net/10256/20922
url http://hdl.handle.net/10256/20922
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cma.2022.114898
info:eu-repo/semantics/altIdentifier/issn/0045-7825
info:eu-repo/semantics/altIdentifier/eissn/1879-2138
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106426RB-C31
dc.rights.none.fl_str_mv Reconeixement 4.0 Internacional
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Reconeixement 4.0 Internacional
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Computer Methods in Applied Mechanics and Engineering, 2022, vol. 394, art.núm.114898
Articles publicats (D-IMAE)
Julià Juanola, Adrià Ruiz Altisent, Marc Boada, Imma 2022 An efficient and uniformly behaving streamline-based μCT fibre tracking algorithm using volume-wise structure tensor and signal processing techniques Computer Methods in Applied Mechanics and Engineering 394 art.núm.114898
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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