Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples

Detalhes bibliográficos
Autor(a) principal: Rovaris,Karla
Data de Publicação: 2018
Outros Autores: Queiroz,Polyane Mazucatto, Vasconcelos,Karla de Faria, Corpas,Lívia dos Santos, Silveira,Bernardo Mattos da, Freitas,Deborah Queiroz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Dental Journal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-64402018000200150
Resumo: Abstract X-ray microtomography (microCT) is a nondestructive technique used to assess bone morphometry. For an accurate analysis, it is necessary to segment the bone tissue from the background images, avoiding under- or overestimation of the real bone volume. Thus, segmentation methods for microCT can influence the accuracy of bone morphometry analysis. The purpose of this study was to compare two different image segmentation methods available on microCT software (subjective and objective) regarding to the human bone morphometric analysis. Sixteen samples containing a fixation screws covered by 0.5-1mm of bone were scanned using the SkyScan 1173 scanner. Three examiners segmented the microCT images subjectively and recorded the threshold values. Subsequently, an objective segmentation was also done. The 3D analysis was performed for both images using the values​ previously determined in CTAn software. Five bone morphometric parameters were calculated (BV/TV, Tb.Th, Tb.N, Tb.Sp, Conn.Den) and used as dependent variables. ANOVA showed no significant differences between the methods concerning BV/TV (p=0.424), Tb.N (p=0.672), Tb.Th (p=0.183), Tb.Sp (p=0.973) and Conn.Den (p=0.204). Intra- and interobserver agreement ranged from satisfactory to excellent (0.55-1 and 0.546-0.991, respectively). Therefore, results obtained with subjective threshorlding were similar to those obtained with objective segmentation. Since objective segmentation does not have human input and it is a truly objective method, it should be the first choice in microCT studies that concern homogeneity and high resolution human bone sample.
id FUNORP-1_fcaa5879de142aa1ecfa6b10bcd22ab9
oai_identifier_str oai:scielo:S0103-64402018000200150
network_acronym_str FUNORP-1
network_name_str Brazilian Dental Journal
repository_id_str
spelling Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samplesx-ray microtomographythreshold limit valueshistomorfometrybone.Abstract X-ray microtomography (microCT) is a nondestructive technique used to assess bone morphometry. For an accurate analysis, it is necessary to segment the bone tissue from the background images, avoiding under- or overestimation of the real bone volume. Thus, segmentation methods for microCT can influence the accuracy of bone morphometry analysis. The purpose of this study was to compare two different image segmentation methods available on microCT software (subjective and objective) regarding to the human bone morphometric analysis. Sixteen samples containing a fixation screws covered by 0.5-1mm of bone were scanned using the SkyScan 1173 scanner. Three examiners segmented the microCT images subjectively and recorded the threshold values. Subsequently, an objective segmentation was also done. The 3D analysis was performed for both images using the values​ previously determined in CTAn software. Five bone morphometric parameters were calculated (BV/TV, Tb.Th, Tb.N, Tb.Sp, Conn.Den) and used as dependent variables. ANOVA showed no significant differences between the methods concerning BV/TV (p=0.424), Tb.N (p=0.672), Tb.Th (p=0.183), Tb.Sp (p=0.973) and Conn.Den (p=0.204). Intra- and interobserver agreement ranged from satisfactory to excellent (0.55-1 and 0.546-0.991, respectively). Therefore, results obtained with subjective threshorlding were similar to those obtained with objective segmentation. Since objective segmentation does not have human input and it is a truly objective method, it should be the first choice in microCT studies that concern homogeneity and high resolution human bone sample.Fundação Odontológica de Ribeirão Preto2018-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-64402018000200150Brazilian Dental Journal v.29 n.2 2018reponame:Brazilian Dental Journalinstname:Fundação Odontológica de Ribeirão Preto (FUNORP)instacron:FUNORP10.1590/0103-6440201801385info:eu-repo/semantics/openAccessRovaris,KarlaQueiroz,Polyane MazucattoVasconcelos,Karla de FariaCorpas,Lívia dos SantosSilveira,Bernardo Mattos daFreitas,Deborah Queirozeng2018-06-07T00:00:00Zoai:scielo:S0103-64402018000200150Revistahttps://www.scielo.br/j/bdj/https://old.scielo.br/oai/scielo-oai.phpbdj@forp.usp.br||sergio@fosjc.unesp.br1806-47600103-6440opendoar:2018-06-07T00:00Brazilian Dental Journal - Fundação Odontológica de Ribeirão Preto (FUNORP)false
dc.title.none.fl_str_mv Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
title Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
spellingShingle Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
Rovaris,Karla
x-ray microtomography
threshold limit values
histomorfometry
bone.
title_short Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
title_full Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
title_fullStr Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
title_full_unstemmed Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
title_sort Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
author Rovaris,Karla
author_facet Rovaris,Karla
Queiroz,Polyane Mazucatto
Vasconcelos,Karla de Faria
Corpas,Lívia dos Santos
Silveira,Bernardo Mattos da
Freitas,Deborah Queiroz
author_role author
author2 Queiroz,Polyane Mazucatto
Vasconcelos,Karla de Faria
Corpas,Lívia dos Santos
Silveira,Bernardo Mattos da
Freitas,Deborah Queiroz
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rovaris,Karla
Queiroz,Polyane Mazucatto
Vasconcelos,Karla de Faria
Corpas,Lívia dos Santos
Silveira,Bernardo Mattos da
Freitas,Deborah Queiroz
dc.subject.por.fl_str_mv x-ray microtomography
threshold limit values
histomorfometry
bone.
topic x-ray microtomography
threshold limit values
histomorfometry
bone.
description Abstract X-ray microtomography (microCT) is a nondestructive technique used to assess bone morphometry. For an accurate analysis, it is necessary to segment the bone tissue from the background images, avoiding under- or overestimation of the real bone volume. Thus, segmentation methods for microCT can influence the accuracy of bone morphometry analysis. The purpose of this study was to compare two different image segmentation methods available on microCT software (subjective and objective) regarding to the human bone morphometric analysis. Sixteen samples containing a fixation screws covered by 0.5-1mm of bone were scanned using the SkyScan 1173 scanner. Three examiners segmented the microCT images subjectively and recorded the threshold values. Subsequently, an objective segmentation was also done. The 3D analysis was performed for both images using the values​ previously determined in CTAn software. Five bone morphometric parameters were calculated (BV/TV, Tb.Th, Tb.N, Tb.Sp, Conn.Den) and used as dependent variables. ANOVA showed no significant differences between the methods concerning BV/TV (p=0.424), Tb.N (p=0.672), Tb.Th (p=0.183), Tb.Sp (p=0.973) and Conn.Den (p=0.204). Intra- and interobserver agreement ranged from satisfactory to excellent (0.55-1 and 0.546-0.991, respectively). Therefore, results obtained with subjective threshorlding were similar to those obtained with objective segmentation. Since objective segmentation does not have human input and it is a truly objective method, it should be the first choice in microCT studies that concern homogeneity and high resolution human bone sample.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-64402018000200150
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-64402018000200150
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6440201801385
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Odontológica de Ribeirão Preto
publisher.none.fl_str_mv Fundação Odontológica de Ribeirão Preto
dc.source.none.fl_str_mv Brazilian Dental Journal v.29 n.2 2018
reponame:Brazilian Dental Journal
instname:Fundação Odontológica de Ribeirão Preto (FUNORP)
instacron:FUNORP
instname_str Fundação Odontológica de Ribeirão Preto (FUNORP)
instacron_str FUNORP
institution FUNORP
reponame_str Brazilian Dental Journal
collection Brazilian Dental Journal
repository.name.fl_str_mv Brazilian Dental Journal - Fundação Odontológica de Ribeirão Preto (FUNORP)
repository.mail.fl_str_mv bdj@forp.usp.br||sergio@fosjc.unesp.br
_version_ 1754204095202197504