Woods Christopher, Fernee Christianne, Browne Martin, Zakrzewski Sonia, Dickinson Alexander
Bioengineering Sciences Research Group, University of Southampton, Highfield Campus, Highfield, Southampton, United Kingdom.
Department of Archaeology, University of Southampton, Avenue Campus, Highfield, Southampton, United Kingdom.
PLoS One. 2017 Dec 7;12(12):e0186754. doi: 10.1371/journal.pone.0186754. eCollection 2017.
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.
本文介绍了用于古骨考古学研究的统计形状建模（SSM）。SSM是一种全领域、多材料分析技术，作为一种补充性几何形态测量（GM）工具呈现。对来自两个考古群体和一个现代群体的下颌下犬齿进行了采样，使用微型计算机断层扫描（micro-CT）进行数字化处理，对齐后注册到基线，并使用主成分分析（PCA）进行统计建模。样本材料属性作为二元釉质/牙本质参数纳入。使用解剖标志点对结果进行定性和定量评估。最后，通过对主成分（PC）权重的分析，展示了该技术在样本间比较中的应用。研究发现，SSM能够就考古样本间和样本内的变异性提供高度详细的定性和定量见解。该技术在考古、生物力学和法医应用中具有价值，包括识别、有限元分析（FEA）以及从部分数据集进行重建。
