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dc.contributor.author
Gonzalez, Paula N.
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Barbeito Andrés, Jimena
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D'addona, Lucas Andrés
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Bernal, Valeria
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Perez, Sergio Ivan
dc.date.available
2017-06-05T18:19:38Z
dc.date.issued
2016-01-09
dc.identifier.citation
Gonzalez, Paula N.; Barbeito Andrés, Jimena; D'addona, Lucas Andrés; Bernal, Valeria; Perez, Sergio Ivan; Technical note: Performance of semi and fully automated approaches for registration of 3D surface coordinates in geometric morphometric studies; Wiley-liss, Div John Wiley & Sons Inc; American Journal Of Physical Anthropology; 160; 1; 09-1-2016; 169-178
dc.identifier.issn
0002-9483
dc.identifier.uri
http://hdl.handle.net/11336/17498
dc.description.abstract
Objectives One of the biggest challenges in the study of complex morphologies is to adequately describe shape variation. Here, we assess how the random sampling of surface points automatically obtained performs, when compared with observer-guided sampling procedures, and also evaluate the effect of sliding surface points by bending energy and minimum Procrustes distance. Material and methods Three datasets comprising structures with disparate levels of complexity and intrasample variation are as follows: mouse molars, mouse brains, and primate endocasts. Different configurations of 3D coordinates on curves and surfaces were digitized from MRI images and CT scans using semi and fully automated procedures. Shape variables were obtained by Generalized Procrustes Superpositions before and after sliding the pseudolandmarks. Multivariate analyses were used to summarize and compare shape variation. Results For the primate endocast, the semiautomated and automated strategies yield similar ordinations of specimens. Conversely, the semiautomated strategy better discriminates molar shapes between mouse groups. Shape differences among specimens are not adequately represented by the PCs calculated with surface pseudolandmarks. This is improved when the points are converted into semilandmarks by a sliding criterion. Discussion Surface semilandmarks automatically obtained from 3D models are promising although they should be used with some caution in complex structures. This approach can be taken as complementary of semiautomated procedures which perform better for assessing shape variation in localized traits previously selected while automated procedures are suitable in studies aimed at comparing overall variation in shape and when there is no previous information about highly variable anatomical regions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley-liss, Div John Wiley & Sons Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Morphology
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Pseudolandmarks
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Sampling 3d Point Coordinates
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Semilandmarks
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Otros Tópicos Biológicos
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Technical note: Performance of semi and fully automated approaches for registration of 3D surface coordinates in geometric morphometric studies
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-06-05T14:49:02Z
dc.journal.volume
160
dc.journal.number
1
dc.journal.pagination
169-178
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Gonzalez, Paula N.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- la Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de la Plata. Facultad de Cs. Veterinarias. Instituto de Genética Veterinaria ; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina
dc.description.fil
Fil: Barbeito Andrés, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- la Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de la Plata. Facultad de Cs. Veterinarias. Instituto de Genética Veterinaria ; Argentina
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Fil: D'addona, Lucas Andrés. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina
dc.description.fil
Fil: Bernal, Valeria. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Perez, Sergio Ivan. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
American Journal Of Physical Anthropology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/ajpa.22934
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info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pubmed/26748891