Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software

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The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes....

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Detalles Bibliográficos
Autores: Moya Salazar, Jeel Junior, Pierre Tincopa, Jean, Salazar-Gamarra, Rodrigo, Lopez-Hinostroza, Madaleine, Moya-Salazar, Belén, Contreras-Pulache, Hans
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/6354
Enlace del recurso:https://hdl.handle.net/20.500.12867/6354
https://doi.org/10.3390/asi5060116
Nivel de acceso:acceso abierto
Materia:Tumors
Medical imaging
Three-dimensional printing
https://purl.org/pe-repo/ocde/ford#3.02.12
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dc.title.es_PE.fl_str_mv Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
title Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
spellingShingle Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
Moya Salazar, Jeel Junior
Tumors
Medical imaging
Three-dimensional printing
https://purl.org/pe-repo/ocde/ford#3.02.12
title_short Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
title_full Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
title_fullStr Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
title_full_unstemmed Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
title_sort Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
author Moya Salazar, Jeel Junior
author_facet Moya Salazar, Jeel Junior
Pierre Tincopa, Jean
Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
author_role author
author2 Pierre Tincopa, Jean
Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Moya Salazar, Jeel Junior
Pierre Tincopa, Jean
Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
dc.subject.es_PE.fl_str_mv Tumors
Medical imaging
Three-dimensional printing
topic Tumors
Medical imaging
Three-dimensional printing
https://purl.org/pe-repo/ocde/ford#3.02.12
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.02.12
description The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decisionmaking by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. This work obtained magnetic resonance imaging (MRI) of a mesothelioma patient, and the images were segmented in the 3 different programs to evaluate the concordance between the software later.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-12-16T15:26:01Z
dc.date.available.none.fl_str_mv 2022-12-16T15:26:01Z
dc.date.issued.fl_str_mv 2022
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2571-5577
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/6354
dc.identifier.journal.es_PE.fl_str_mv Applied System Innovation
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/asi5060116
identifier_str_mv 2571-5577
Applied System Innovation
url https://hdl.handle.net/20.500.12867/6354
https://doi.org/10.3390/asi5060116
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.ispartofseries.none.fl_str_mv Applied System Innovation;vol. 5, n° 6, pp. 1-12
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.publisher.country.es_PE.fl_str_mv CH
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
dc.source.none.fl_str_mv reponame:UTP-Institucional
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instacron:UTP
instname_str Universidad Tecnológica del Perú
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collection UTP-Institucional
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spelling Moya Salazar, Jeel JuniorPierre Tincopa, JeanSalazar-Gamarra, RodrigoLopez-Hinostroza, MadaleineMoya-Salazar, BelénContreras-Pulache, Hans2022-12-16T15:26:01Z2022-12-16T15:26:01Z20222571-5577https://hdl.handle.net/20.500.12867/6354Applied System Innovationhttps://doi.org/10.3390/asi5060116The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decisionmaking by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. 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Comparison of models for 3D printing of solitary fibrous tumor obtained using open-source segmentation software
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