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Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age

Background: The application of three-dimensional scan models offers a useful resource for studying craniofacial variation. The complex mathematical analysis for facial point acquisition in three-dimensional models has made many craniofacial assessments laborious. Method: This study investigates thre...

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Main Authors: Agbolade, Olalekan, Nazri, Azree, Yaakob, Razali, Abd Ghani, Abdul Azim, Yoke, Kqueen Cheah
Format: Article
Language:English
Published: Public Library of Science 2020
Online Access:http://psasir.upm.edu.my/id/eprint/86837/1/Morphometric%20approach%20to%203D.pdf
http://psasir.upm.edu.my/id/eprint/86837/
https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0228402
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spelling my.upm.eprints.868372021-11-20T12:04:35Z http://psasir.upm.edu.my/id/eprint/86837/ Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age Agbolade, Olalekan Nazri, Azree Yaakob, Razali Abd Ghani, Abdul Azim Yoke, Kqueen Cheah Background: The application of three-dimensional scan models offers a useful resource for studying craniofacial variation. The complex mathematical analysis for facial point acquisition in three-dimensional models has made many craniofacial assessments laborious. Method: This study investigates three-dimensional (3D) soft-tissue craniofacial variation, with relation to ethnicity, sex and age variables in British and Irish white Europeans. This utilizes a geometric morphometric approach on a subsampled dataset comprising 292 scans, taken from a Liverpool-York Head Model database. Shape variation and analysis of each variable are tested using 20 anchor anatomical landmarks and 480 sliding semi-landmarks. Results: Significant ethnicity, sex, and age differences are observed for measurement covering major aspects of the craniofacial shape. The ethnicity shows subtle significant differences compared to sex and age; even though it presents the lowest classification accuracy. The magnitude of dimorphism in sex is revealed in the facial, nasal and crania measurement. Significant shape differences are also seen at each age group, with some distinct dimorphic features present in the age groups. Conclusions: The patterns of shape variation show that white British individuals have a more rounded head shape, whereas white Irish individuals have a narrower head shape. White British persons also demonstrate higher classification accuracy. Regarding sex patterns, males are relatively larger than females, especially in the mouth and nasal regions. Females presented with higher classification accuracy than males. The differences in the chin, mouth, nose, crania, and forehead emerge from different growth rates between the groups. Classification accuracy is best for children and senior adult age groups. Public Library of Science 2020-04-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86837/1/Morphometric%20approach%20to%203D.pdf Agbolade, Olalekan and Nazri, Azree and Yaakob, Razali and Abd Ghani, Abdul Azim and Yoke, Kqueen Cheah (2020) Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age. PLoS One, 15 (4). pp. 1-24. ISSN 1932-6203 https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0228402 10.1371/journal.pone.0228402
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Background: The application of three-dimensional scan models offers a useful resource for studying craniofacial variation. The complex mathematical analysis for facial point acquisition in three-dimensional models has made many craniofacial assessments laborious. Method: This study investigates three-dimensional (3D) soft-tissue craniofacial variation, with relation to ethnicity, sex and age variables in British and Irish white Europeans. This utilizes a geometric morphometric approach on a subsampled dataset comprising 292 scans, taken from a Liverpool-York Head Model database. Shape variation and analysis of each variable are tested using 20 anchor anatomical landmarks and 480 sliding semi-landmarks. Results: Significant ethnicity, sex, and age differences are observed for measurement covering major aspects of the craniofacial shape. The ethnicity shows subtle significant differences compared to sex and age; even though it presents the lowest classification accuracy. The magnitude of dimorphism in sex is revealed in the facial, nasal and crania measurement. Significant shape differences are also seen at each age group, with some distinct dimorphic features present in the age groups. Conclusions: The patterns of shape variation show that white British individuals have a more rounded head shape, whereas white Irish individuals have a narrower head shape. White British persons also demonstrate higher classification accuracy. Regarding sex patterns, males are relatively larger than females, especially in the mouth and nasal regions. Females presented with higher classification accuracy than males. The differences in the chin, mouth, nose, crania, and forehead emerge from different growth rates between the groups. Classification accuracy is best for children and senior adult age groups.
format Article
author Agbolade, Olalekan
Nazri, Azree
Yaakob, Razali
Abd Ghani, Abdul Azim
Yoke, Kqueen Cheah
spellingShingle Agbolade, Olalekan
Nazri, Azree
Yaakob, Razali
Abd Ghani, Abdul Azim
Yoke, Kqueen Cheah
Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
author_facet Agbolade, Olalekan
Nazri, Azree
Yaakob, Razali
Abd Ghani, Abdul Azim
Yoke, Kqueen Cheah
author_sort Agbolade, Olalekan
title Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
title_short Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
title_full Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
title_fullStr Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
title_full_unstemmed Morphometric approach to 3D soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
title_sort morphometric approach to 3d soft-tissue craniofacial analysis and classification of ethnicity, sex, and age
publisher Public Library of Science
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/86837/1/Morphometric%20approach%20to%203D.pdf
http://psasir.upm.edu.my/id/eprint/86837/
https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0228402
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score 13.211869

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