Detailed Information on Publication Record
2016
Sex and ancestry assessment of Brazilian crania using semi-automatic mesh processing tools
JURDA, Mikoláš and Petra URBANOVÁBasic information
Original name
Sex and ancestry assessment of Brazilian crania using semi-automatic mesh processing tools
Authors
JURDA, Mikoláš (203 Czech Republic, belonging to the institution) and Petra URBANOVÁ (203 Czech Republic, belonging to the institution)
Edition
Legal Medicine, Elsevier, 2016, 1344-6223
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30501 Forensic science
Country of publisher
Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 1.276
RIV identification code
RIV/00216224:14310/16:00090847
Organization unit
Faculty of Science
UT WoS
000390517300007
Keywords in English
Sex assessment; Ancestry assessment; Brazilian crania; Polygonal mesh comparison; Digital three-dimensional models; Fidentis
Tags
Tags
International impact, Reviewed
Změněno: 8/3/2018 09:40, doc. RNDr. Petra Urbanová, Ph.D.
Abstract
V originále
The present paper aims to test performances of semi-automatic tools for mesh-to-mesh processing while assessing sex and ancestry in documented human crania. The studied sample of 80 human crania, which originated in two documented Brazilian collections (Sao Paulo, Brazil) was digitized using photogrammetry and laser scanning. 3D cranial morphology was quantified by computing inter-mesh dissimilarity measures using in-house freeware FIDENTIS Analyst (www.fidentis.com). Numerical outputs were further processed using Discriminant Function Analysis and Canonical Variant Analysis in order to classify models into sex and ancestry groups. In addition, cranial morphology was described by a set of 37 landmarks, processed by a Procrustes analysis and confronted with the inter-mesh comparison. Patterns of sexual dimorphism and ancestral group-specific variation were interpreted using average meshes and further emphasized by employing advanced visualization graphics. The mesh-to-mesh processing was capable to detect shape differences related to sex and ancestry. The highest accuracy levels for sex determination were obtained for meshes representing the facial skeleton and the supraorbital region. For both, analysis correctly assigned 82.5% of the crania. Ancestry-related differences were manifested primarily in the global cranial features (observed accuracy rates reaching 63%). The advanced visualization tools provided a highly informative insight into sexual dimorphism and ancestry-related variation. While in the current state the technique cannot be considered suitable for being implemented into the everyday forensic practice, the extent of automatization proved to be perspective, especially for assessing skeletal features that cannot be properly quantified using discrete variables.
Links
| MUNI/A/1379/2015, interní kód MU |
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