首页> 美国卫生研究院文献>other >A Non-Destructive Method for Distinguishing Reindeer Antler (Rangifer tarandus) from Red Deer Antler (Cervus elaphus) Using X-Ray Micro-Tomography Coupled with SVM Classifiers
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A Non-Destructive Method for Distinguishing Reindeer Antler (Rangifer tarandus) from Red Deer Antler (Cervus elaphus) Using X-Ray Micro-Tomography Coupled with SVM Classifiers

机译:结合SVM分类器的X射线断层摄影技术无损辨别驯鹿鹿角(Rangifer tarandus)与红鹿鹿角(Cervus elaphus)的方法

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摘要

Over the last decade, biomedical 3D-imaging tools have gained widespread use in the analysis of prehistoric bone artefacts. While initial attempts to characterise the major categories used in osseous industry (i.e. bone, antler, and dentine/ivory) have been successful, the taxonomic determination of prehistoric artefacts remains to be investigated. The distinction between reindeer and red deer antler can be challenging, particularly in cases of anthropic and/or taphonomic modifications. In addition to the range of destructive physicochemical identification methods available (mass spectrometry, isotopic ratio, and DNA analysis), X-ray micro-tomography (micro-CT) provides convincing non-destructive 3D images and analyses. This paper presents the experimental protocol (sample scans, image processing, and statistical analysis) we have developed in order to identify modern and archaeological antler collections (from Isturitz, France). This original method is based on bone microstructure analysis combined with advanced statistical support vector machine (SVM) classifiers. A combination of six microarchitecture biomarkers (bone volume fraction, trabecular number, trabecular separation, trabecular thickness, trabecular bone pattern factor, and structure model index) were screened using micro-CT in order to characterise internal alveolar structure. Overall, reindeer alveoli presented a tighter mesh than red deer alveoli, and statistical analysis allowed us to distinguish archaeological antler by species with an accuracy of 96%, regardless of anatomical location on the antler. In conclusion, micro-CT combined with SVM classifiers proves to be a promising additional non-destructive method for antler identification, suitable for archaeological artefacts whose degree of human modification and cultural heritage or scientific value has previously made it impossible (tools, ornaments, etc.).
机译:在过去的十年中,生物医学3D成像工具已广泛用于史前骨制品的分析中。最初已经成功地表征了骨工业中使用的主要类别(即骨,鹿角和牙本质/象牙),但对史前人工制品的分类学确定仍有待研究。驯鹿和马鹿鹿角之间的区别可能具有挑战性,特别是在人为和/或突变的情况下。除了可用的破坏性理化鉴定方法(质谱,同位素比值和DNA分析)之外,X射线显微断层摄影术(micro-CT)还提供了令人信服的3D图像和分析。本文介绍了我们开发的实验方案(样品扫描,图像处理和统计分析),目的是识别现代和考古鹿角收藏品(来自法国伊斯杜里茨)。这种原始方法基于结合了先进的统计支持向量机(SVM)分类器的骨微结构分析。为了表征内部牙槽结构,使用微CT筛选了六个微体系结构生物标志物(骨体积分数,骨小梁数目,骨小梁分离,骨小梁厚度,骨小梁骨形态因子和结构模型指数)的组合。总体而言,驯鹿肺泡的网格比马鹿肺泡更紧密,并且统计分析使我们能够按物种区分考古鹿角,而无论鹿角的解剖位置如何,其准确度均为96%。总之,结合SVM分类器的Micro-CT被证明是一种有前途的无损鹿角识别方法,适用于人类修改程度和文化遗产或科学价值先前无法实现的考古文物(工具,装饰品等) )。

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