Karell Mara A, Langstaff Helen K, Halazonetis Demetrios J, Minghetti Caterina, Frelat Mélanie, Kranioti Elena F
Edinburgh Unit of Forensic Anthropology, Edinburgh, UK.
School of History, Classics and Archaeology, University of Edinburgh, Edinburgh, UK.
Int J Legal Med. 2016 Sep;130(5):1315-22. doi: 10.1007/s00414-016-1334-3. Epub 2016 Mar 10.
The commingling of human remains often hinders forensic/physical anthropologists during the identification process, as there are limited methods to accurately sort these remains. This study investigates a new method for pair-matching, a common individualization technique, which uses digital three-dimensional models of bone: mesh-to-mesh value comparison (MVC). The MVC method digitally compares the entire three-dimensional geometry of two bones at once to produce a single value to indicate their similarity. Two different versions of this method, one manual and the other automated, were created and then tested for how well they accurately pair-matched humeri. Each version was assessed using sensitivity and specificity. The manual mesh-to-mesh value comparison method was 100 % sensitive and 100 % specific. The automated mesh-to-mesh value comparison method was 95 % sensitive and 60 % specific. Our results indicate that the mesh-to-mesh value comparison method overall is a powerful new tool for accurately pair-matching commingled skeletal elements, although the automated version still needs improvement.
人类遗骸的混合常常在身份识别过程中给法医/体质人类学家带来阻碍,因为准确分类这些遗骸的方法有限。本研究调查了一种新的配对匹配方法,这是一种常见的个体化技术,它使用骨骼的数字三维模型:网格到网格值比较(MVC)。MVC方法一次对两块骨骼的整个三维几何形状进行数字比较,以产生一个单一值来表明它们的相似性。创建了该方法的两个不同版本,一个手动版,另一个自动版,然后测试它们对肱骨进行准确配对匹配的效果。每个版本都使用敏感性和特异性进行评估。手动网格到网格值比较方法的敏感性为100%,特异性为100%。自动网格到网格值比较方法的敏感性为95%,特异性为60%。我们的结果表明,尽管自动版本仍需改进,但网格到网格值比较方法总体上是一种用于准确配对匹配混合骨骼元素的强大新工具。