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: Tincopa, Jean Pierre, Salazar-Gamarra, Rodrigo, Lopez-Hinostroza, Madaleine, Moya-Salazar, Belén, Contreras-Pulache, Hans
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Privada Norbert Wiener
Repositorio:UWIENER-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uwiener.edu.pe:20.500.13053/7797
Enlace del recurso:https://hdl.handle.net/20.500.13053/7797
https://doi.org/10.3390/asi5060116
Nivel de acceso:acceso abierto
Materia:segmentation; 3d print; 3D slicer; fibrous tumor; software
http://purl.org/pe-repo/ocde/ford#3.03.00
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dc.title.es_ES.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
Tincopa, Jean Pierre
segmentation; 3d print; 3D slicer; fibrous tumor; software
http://purl.org/pe-repo/ocde/ford#3.03.00
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 Tincopa, Jean Pierre
author_facet Tincopa, Jean Pierre
Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
author_role author
author2 Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Tincopa, Jean Pierre
Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
Moya-Salazar, Belén
dc.subject.es_ES.fl_str_mv segmentation; 3d print; 3D slicer; fibrous tumor; software
topic segmentation; 3d print; 3D slicer; fibrous tumor; software
http://purl.org/pe-repo/ocde/ford#3.03.00
dc.subject.ocde.es_ES.fl_str_mv http://purl.org/pe-repo/ocde/ford#3.03.00
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 2023-02-15T20:05:38Z
dc.date.available.none.fl_str_mv 2023-02-15T20:05:38Z
dc.date.issued.fl_str_mv 2022-11-16
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_ES.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.13053/7797
dc.identifier.doi.es_ES.fl_str_mv https://doi.org/10.3390/asi5060116
url https://hdl.handle.net/20.500.13053/7797
https://doi.org/10.3390/asi5060116
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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dc.publisher.es_ES.fl_str_mv MDPI
dc.publisher.country.es_ES.fl_str_mv CH
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spelling Tincopa, Jean PierreSalazar-Gamarra, RodrigoLopez-Hinostroza, MadaleineMoya-Salazar, BelénContreras-Pulache, HansMoya-Salazar, Belén2023-02-15T20:05:38Z2023-02-15T20:05:38Z2022-11-16https://hdl.handle.net/20.500.13053/7797https://doi.org/10.3390/asi5060116“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.“application/pdfengMDPICHinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/segmentation; 3d print; 3D slicer; fibrous tumor; softwarehttp://purl.org/pe-repo/ocde/ford#3.03.00Comparison of Models for 3D Printing of Solitary Fibrous Tumor Obtained Using Open-Source Segmentation Softwareinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:UWIENER-Institucionalinstname:Universidad Privada Norbert Wienerinstacron:UWIENERPublicationORIGINALasi-05-00116.pdfasi-05-00116.pdfapplication/pdf12182514https://dspace-uwiener.metabuscador.org/bitstreams/e2fa992a-7d3d-442a-92be-88fb5aa5ac51/downloada991860801ba267d8b51ef9320431473MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://dspace-uwiener.metabuscador.org/bitstreams/12ad561b-a70b-4b05-80fe-672ecbfa14f7/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTasi-05-00116.pdf.txtasi-05-00116.pdf.txtExtracted texttext/plain41932https://dspace-uwiener.metabuscador.org/bitstreams/808fa1cf-511c-4ae3-84b7-6222d59abf59/download2fddbcb7ed860f5b2c964acd18d6d801MD53THUMBNAILasi-05-00116.pdf.jpgasi-05-00116.pdf.jpgGenerated Thumbnailimage/jpeg12116https://dspace-uwiener.metabuscador.org/bitstreams/a917a72a-58cd-4112-baa2-9d2a6c9dac82/download99aca93e11b2896cd7a6df48760d2340MD5420.500.13053/7797oai:dspace-uwiener.metabuscador.org:20.500.13053/77972024-12-13 12:11:27.446https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://dspace-uwiener.metabuscador.orgRepositorio Institucional de la Universidad de Wienerbdigital@metabiblioteca.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Comparison of Models for 3D Printing of Solitary Fibrous Tumor Obtained Using Open-Source Segmentation Software
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