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

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 intersample 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.

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Identifiers

ORCID for Martin Browne: orcid.org/0000-0001-5184-050X

ORCID for Sonia Zakrzewski: orcid.org/0000-0003-1796-065X

ORCID for Alexander Dickinson: orcid.org/0000-0002-9647-1944

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