Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of applied oral science (Online) |
Texto Completo: | https://www.revistas.usp.br/jaos/article/view/142427 |
Resumo: | To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms. Objective: To compare between visual and automatic segmentation, and to determine the influence of the operator's visual acuity on the reproducibility of root canal volume and area measurements. Material and methods: Images from 31 extracted human anterior teeth were scanned with a μCT scanner. Three experienced examiners performed visual image segmentation, and threshold values were recorded. Automatic segmentation was done using the “Automatic Threshold Tool” available in the dedicated software provided by the scanner's manufacturer. Volume and area measurements were performed using the threshold values determined both visually and automatically. Results: The paired Student's t-test showed no significant difference between visual and automatic segmentation methods regarding root canal volume measurements (p=0.93) and root canal surface (p=0.79). Conclusion: Although visual and automatic segmentation methods can be used to determine the threshold and calculate root canal volume and surface, the automatic method may be the most suitable for ensuring the reproducibility of threshold determination. |
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oai:revistas.usp.br:article/142427 |
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Journal of applied oral science (Online) |
repository_id_str |
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Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT studyDental pulp cavityThreshold limit valuesX-ray microtomography To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms. Objective: To compare between visual and automatic segmentation, and to determine the influence of the operator's visual acuity on the reproducibility of root canal volume and area measurements. Material and methods: Images from 31 extracted human anterior teeth were scanned with a μCT scanner. Three experienced examiners performed visual image segmentation, and threshold values were recorded. Automatic segmentation was done using the “Automatic Threshold Tool” available in the dedicated software provided by the scanner's manufacturer. Volume and area measurements were performed using the threshold values determined both visually and automatically. Results: The paired Student's t-test showed no significant difference between visual and automatic segmentation methods regarding root canal volume measurements (p=0.93) and root canal surface (p=0.79). Conclusion: Although visual and automatic segmentation methods can be used to determine the threshold and calculate root canal volume and surface, the automatic method may be the most suitable for ensuring the reproducibility of threshold determination.Universidade de São Paulo. Faculdade de Odontologia de Bauru2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/jaos/article/view/14242710.1590/1678-7757-2017-0023Journal of Applied Oral Science; Vol. 25 No. 6 (2017); 674-679Journal of Applied Oral Science; Vol. 25 Núm. 6 (2017); 674-679Journal of Applied Oral Science; v. 25 n. 6 (2017); 674-6791678-77651678-7757reponame:Journal of applied oral science (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/jaos/article/view/142427/137536Copyright (c) 2017 Journal of Applied Oral Scienceinfo:eu-repo/semantics/openAccessQueiroz, Polyane MazucattoRovaris, KarlaSantaella, Gustavo MachadoHaiter-Neto, FranciscoFreitas, Deborah Queiroz2018-01-18T16:07:28Zoai:revistas.usp.br:article/142427Revistahttp://www.scielo.br/jaosPUBhttps://www.revistas.usp.br/jaos/oai||jaos@usp.br1678-77651678-7757opendoar:2018-01-18T16:07:28Journal of applied oral science (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
title |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
spellingShingle |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study Queiroz, Polyane Mazucatto Dental pulp cavity Threshold limit values X-ray microtomography |
title_short |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
title_full |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
title_fullStr |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
title_full_unstemmed |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
title_sort |
Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study |
author |
Queiroz, Polyane Mazucatto |
author_facet |
Queiroz, Polyane Mazucatto Rovaris, Karla Santaella, Gustavo Machado Haiter-Neto, Francisco Freitas, Deborah Queiroz |
author_role |
author |
author2 |
Rovaris, Karla Santaella, Gustavo Machado Haiter-Neto, Francisco Freitas, Deborah Queiroz |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Queiroz, Polyane Mazucatto Rovaris, Karla Santaella, Gustavo Machado Haiter-Neto, Francisco Freitas, Deborah Queiroz |
dc.subject.por.fl_str_mv |
Dental pulp cavity Threshold limit values X-ray microtomography |
topic |
Dental pulp cavity Threshold limit values X-ray microtomography |
description |
To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms. Objective: To compare between visual and automatic segmentation, and to determine the influence of the operator's visual acuity on the reproducibility of root canal volume and area measurements. Material and methods: Images from 31 extracted human anterior teeth were scanned with a μCT scanner. Three experienced examiners performed visual image segmentation, and threshold values were recorded. Automatic segmentation was done using the “Automatic Threshold Tool” available in the dedicated software provided by the scanner's manufacturer. Volume and area measurements were performed using the threshold values determined both visually and automatically. Results: The paired Student's t-test showed no significant difference between visual and automatic segmentation methods regarding root canal volume measurements (p=0.93) and root canal surface (p=0.79). Conclusion: Although visual and automatic segmentation methods can be used to determine the threshold and calculate root canal volume and surface, the automatic method may be the most suitable for ensuring the reproducibility of threshold determination. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/jaos/article/view/142427 10.1590/1678-7757-2017-0023 |
url |
https://www.revistas.usp.br/jaos/article/view/142427 |
identifier_str_mv |
10.1590/1678-7757-2017-0023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/jaos/article/view/142427/137536 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Journal of Applied Oral Science info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Journal of Applied Oral Science |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Odontologia de Bauru |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Odontologia de Bauru |
dc.source.none.fl_str_mv |
Journal of Applied Oral Science; Vol. 25 No. 6 (2017); 674-679 Journal of Applied Oral Science; Vol. 25 Núm. 6 (2017); 674-679 Journal of Applied Oral Science; v. 25 n. 6 (2017); 674-679 1678-7765 1678-7757 reponame:Journal of applied oral science (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Journal of applied oral science (Online) |
collection |
Journal of applied oral science (Online) |
repository.name.fl_str_mv |
Journal of applied oral science (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||jaos@usp.br |
_version_ |
1800221680463773696 |