The potential of statistical shape modelling for geometric morphometric analysis of human teeth in archaeological research

Christopher Woods, Christianne Fernee, Martin Browne, Sonia Zakrzewski and Alexander Dickinson

PLOS ONE, 2017, vol. 12, issue 12, 1-25

Abstract: This paper introduces statistical shape modelling (SSM) for use in osteoarchaeology research. SSM is a full field, multi-material analytical technique, and is presented as a supplementary geometric morphometric (GM) tool. Lower mandibular canines from two archaeological populations and one modern population were sampled, digitised using micro-CT, aligned, registered to a baseline and statistically modelled using principal component analysis (PCA). Sample material properties were incorporated as a binary enamel/dentin parameter. Results were assessed qualitatively and quantitatively using anatomical landmarks. Finally, the technique’s application was demonstrated for inter-sample comparison through analysis of the principal component (PC) weights. It was found that SSM could provide high detail qualitative and quantitative insight with respect to archaeological inter- and intra-sample variability. This technique has value for archaeological, biomechanical and forensic applications including identification, finite element analysis (FEA) and reconstruction from partial datasets.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0186754

DOI: 10.1371/journal.pone.0186754

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