Garrido-Varas Claudia, Rathnasinghe Raveen, Thompson Tim, Savriama Yoland
School of Science and Engineering, Teesside University, Borough Road, Middlesbrough, TS1 3BA, UK.
J Forensic Sci. 2015 Jan;60(1):118-23. doi: 10.1111/1556-4029.12577. Epub 2014 Jul 23.
Matching pairs of skeletal elements is of fundamental importance when re-associating skeletons from commingled settings. This study presents a new method that combines the use of traditional anthropometric size measurements and the analysis of shape, through geometric morphometrics, to form pairs from commingled settings. We tested the hypothesis that shape asymmetry among individuals is smaller than between individuals that share similar dimensions. The metacarpals were measured in their maximum length, and absolute means of asymmetry between right and left metacarpals were calculated. To analyze the shape characteristics, two-dimensional landmarks were recorded from digital images of 111 metacarpals. The specimens were analyzed using generalized Procrustes analysis and multivariate statistics. The accuracy of pair-matching bones using a combined method was of 100%, showing that the incorporation of geometric morphometrics techniques--in the assessment of shape in physical anthropology--is of particular use when comparing the shape differences/similarities between individuals.
在将混合环境中的骨骼重新关联时,匹配成对的骨骼元素至关重要。本研究提出了一种新方法,该方法结合了传统人体测量尺寸测量的使用以及通过几何形态计量学对形状的分析,以从混合环境中形成配对。我们检验了这样一个假设,即个体之间的形状不对称性小于具有相似尺寸的个体之间的形状不对称性。测量了掌骨的最大长度,并计算了左右掌骨之间不对称性的绝对均值。为了分析形状特征,从111根掌骨的数字图像中记录了二维地标点。使用广义普氏分析和多元统计对标本进行分析。使用组合方法进行骨骼配对的准确率为100%,这表明在体质人类学中评估形状时纳入几何形态计量学技术,在比较个体之间的形状差异/相似性时特别有用。