Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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. |
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Brazilian Dental Journal |
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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 |