Method for Quantitative Assessment of Olecranon Fossa Using 3D Hand-held Laser Scanner in the Field of Forensic Anthropology

P. Timonov, A. Fasova, Ilina Brainova, A. Baltadjiev, Ana Nikolova
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Abstract

The study is based on a creation of virtual model of olecranon fossa through 3D visualization and its usage as a sex discriminant. The study was focused on an assessment of 135 complete humeri from 47 females and 88 males. The surface of olecranon fossa was captured in a 3D image, using a Hand-held Laser Scanner (FastSCAN). The result was a 3D shape comprising two tetrahedrons with a common apex and a common lateral face. This 3D model was determined by five landmarks: the most superior point of the olecranon fossa, the most lateral point of the olecranon fossa seen on the posterior surface, the most medial point of the olecranon fossa, the point on the inferior edge of the olecranon fossa, directly in the middle, and the deepest point into the fossa. Therefore, the volume of the virtual model was equal to the total of the volumes of these two tetrahedrons. The results were processed with SPSS 17.0 using Discriminant Function Analysis. The percentage of cases classified correctly is 92.5% according to the sex determination. This study demonstrates a 3D method which can be used successfully for sex determination, especially in case of highly fragmented bones that impede traditional anthropometric analyses.
在法医人类学领域使用三维手持激光扫描仪对骨骺窝进行定量评估的方法
这项研究的基础是通过三维可视化技术创建肩胛窝虚拟模型,并将其作为性别判别因素。研究重点是评估来自 47 名女性和 88 名男性的 135 个完整肱骨。使用手持式激光扫描仪(FastSCAN)在三维图像中捕捉了肩胛窝的表面。结果是一个由两个四面体组成的三维形状,这两个四面体有一个共同的顶点和一个共同的侧面。该三维模型由五个地标确定:肩胛骨窝的最上端、后表面看到的肩胛骨窝的最外侧、肩胛骨窝的最内侧、肩胛骨窝下缘正中间的一点以及肩胛骨窝的最深处。因此,虚拟模型的体积等于这两个四面体体积的总和。结果使用 SPSS 17.0 分辨功能分析法进行处理。根据性别判定,正确分类的病例比例为 92.5%。这项研究展示了一种可成功用于性别鉴定的三维方法,尤其是在骨骼高度碎裂、阻碍传统人体测量分析的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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