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dc.contributor.authorIto, Tsuyoshien
dc.contributor.alternative伊藤, 毅ja
dc.date.accessioned2020-12-18T07:49:17Z-
dc.date.available2020-12-18T07:49:17Z-
dc.date.issued2019-11-
dc.identifier.issn2041-210X-
dc.identifier.urihttp://hdl.handle.net/2433/259829-
dc.description.abstract1. An increasing number of studies are analysing the shapes of objects using geometric morphometrics with tomographic data, which are often segmented and transformed to three‐dimensional (3D) surface models before measurement. This study aimed to evaluate the effects of different image segmentation methods on geometric morphometric data collection using computed tomography data collected from non‐human primate skulls. 2. Three segmentation methods based on a visually selected threshold, a half‐maximum height protocol and a gradient and watershed algorithm were compared. For each method, the efficiency of surface reconstruction, the accuracy of landmark placement and the level of variation in shape and size compared with various levels of biological variation were evaluated. 3. The visual‐based method inflated the surface in high‐density anatomical regions, whereas the half‐maximum height protocol resulted in a large number of artificial holes and erosion. However, the gradient‐based method mitigated these issues and generated the most efficient surface model. The segmentation method used had a much smaller effect on shape and size variation than interspecific and inter‐individual differences. However, this effect was statistically significant and not negligible when compared with intra‐individual (fluctuating asymmetric) variation. 4. Although the gradient‐based method is not widely used in geometric morphometric analyses, it may be one of promising options for reconstructing 3D surfaces. When evaluating small variations, such as fluctuating asymmetry, care should be taken around combining 3D data that were obtained using different segmentation methods.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherBritish Ecological Societyen
dc.rightsThis is the peer reviewed version of the following article: Ito, T. Effects of different segmentation methods on geometric morphometric data collection from primate skulls. Methods Ecol Evol. 2019; 10: 1972– 1984, which has been published in final form at https://doi.org/10.1111/2041-210X.13274. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.en
dc.rightsこの論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。ja
dc.rightsThis is not the published version. Please cite only the published version.en
dc.subjectcomputed tomographyen
dc.subjectgeometric morphometricsen
dc.subjectmeasurement erroren
dc.subjectrepeatabilityen
dc.subjectsegmentationen
dc.titleEffects of different segmentation methods on geometric morphometric data collection from primate skullsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleMethods in Ecology and Evolution
dc.identifier.volume10-
dc.identifier.issue11-
dc.identifier.spage1972-
dc.identifier.epage1984-
dc.relation.doi10.1111/2041-210X.13274-
dc.textversionauthor-
dc.addressDepartment of Evolution and Phylogeny, Primate Research Institute, Kyoto Universityen
dcterms.accessRightsopen access-
datacite.awardNumber16H04848
datacite.awardNumber17K15195
datacite.awardNumber19H01002
datacite.awardNumber19K16211
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
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