Comparison of Models for 3D Printing of Solitary Fibrous Tumor Obtained Using Open-Source Segmentation Software

Descripción del Articulo

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, Moya-Salazar, Jeel
Formato: artículo
Fecha de Publicación:2022
Institución:Seguro Social de Salud
Repositorio:ESSALUD-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.essalud.gob.pe:20.500.12959/5082
Enlace del recurso:https://hdl.handle.net/20.500.12959/5082
https://doi.org/10.3390/asi5060116
Nivel de acceso:acceso abierto
Materia:Segmentation
3d print
3D slicer
Fibrous tumor
Software
https://purl.org/pe-repo/ocde/ford#3.02.07
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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
Tincopa, Jean Pierre
Segmentation
3d print
3D slicer
Fibrous tumor
Software
https://purl.org/pe-repo/ocde/ford#3.02.07
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
Moya-Salazar, Jeel
author_role author
author2 Salazar-Gamarra, Rodrigo
Lopez-Hinostroza, Madaleine
Moya-Salazar, Belén
Contreras-Pulache, Hans
Moya-Salazar, Jeel
author2_role author
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, Jeel
dc.subject.es_PE.fl_str_mv Segmentation
3d print
3D slicer
Fibrous tumor
Software
topic Segmentation
3d print
3D slicer
Fibrous tumor
Software
https://purl.org/pe-repo/ocde/ford#3.02.07
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.02.07
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 decision-making 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 2024-07-31T18:04:00Z
dc.date.available.none.fl_str_mv 2024-07-31T18:04:00Z
dc.date.issued.fl_str_mv 2022-11-21
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_PE.fl_str_mv Applied System Innovation. 2022:5(6).
dc.identifier.issn.none.fl_str_mv 2571-5577
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12959/5082
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/asi5060116
identifier_str_mv Applied System Innovation. 2022:5(6).
2571-5577
url https://hdl.handle.net/20.500.12959/5082
https://doi.org/10.3390/asi5060116
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.uri.es_PE.fl_str_mv https://www.mdpi.com/2571-5577/5/6/116
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:ESSALUD-Institucional
instname:Seguro Social de Salud
instacron:ESSALUD
instname_str Seguro Social de Salud
instacron_str ESSALUD
institution ESSALUD
reponame_str ESSALUD-Institucional
collection ESSALUD-Institucional
bitstream.url.fl_str_mv https://repositorio.essalud.gob.pe/bitstream/20.500.12959/5082/1/Comparison%20of%20Models%20for%203D%20Printing%20of%20Solitary%20Fibrous%20Tumor%20Obtained%20Using%20Open-Source%20Segmentation%20Software.pdf
https://repositorio.essalud.gob.pe/bitstream/20.500.12959/5082/2/license.txt
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spelling Tincopa, Jean PierreSalazar-Gamarra, RodrigoLopez-Hinostroza, MadaleineMoya-Salazar, BelénContreras-Pulache, HansMoya-Salazar, Jeel2024-07-31T18:04:00Z2024-07-31T18:04:00Z2022-11-21Applied System Innovation. 2022:5(6).2571-5577https://hdl.handle.net/20.500.12959/5082https://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 decision-making 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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