{"title":"技术说明:利用 Dirichlet 正能量分析耳廓表面以估算年龄","authors":"Jisun Jang , Enrico Mariconti , Rebecca Watts","doi":"10.1016/j.fri.2024.200579","DOIUrl":null,"url":null,"abstract":"<div><p>Traditional age estimation methods are prone to subjectivity, leading to a decrease in the reliability and repeatability of estimated ages in skeletal assemblages. In an attempt to reduce the level of subjectivity, this research applied a computational method designed to analyze surface topography, Dirichlet Normal Energy (DNE), to provide a mathematical assessment of age-related degeneration in the auricular surface. Reconstructed 3D models of 153 archaeological individuals were created by laser scanning and analyzed using the R studio package MolaR. DNE values showed moderate correlations with age phase (Buckberry-Chamberlain and Lovejoy), for the auricular surface as a whole as well as a number of topographical features (surface undulation, apical activity, macroporosity). Most encouragingly, this method had an extremely low levels of intra-observer error, which makes it repeatable and potentially more objective than traditional age estimation methods.</p></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"36 ","pages":"Article 200579"},"PeriodicalIF":0.8000,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666225624000034/pdfft?md5=17b9a5c2bc4851bac7056cea4ed3654d&pid=1-s2.0-S2666225624000034-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Technical note: Analysis of the auricular surface for age estimation using dirichlet normal energy\",\"authors\":\"Jisun Jang , Enrico Mariconti , Rebecca Watts\",\"doi\":\"10.1016/j.fri.2024.200579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Traditional age estimation methods are prone to subjectivity, leading to a decrease in the reliability and repeatability of estimated ages in skeletal assemblages. In an attempt to reduce the level of subjectivity, this research applied a computational method designed to analyze surface topography, Dirichlet Normal Energy (DNE), to provide a mathematical assessment of age-related degeneration in the auricular surface. Reconstructed 3D models of 153 archaeological individuals were created by laser scanning and analyzed using the R studio package MolaR. DNE values showed moderate correlations with age phase (Buckberry-Chamberlain and Lovejoy), for the auricular surface as a whole as well as a number of topographical features (surface undulation, apical activity, macroporosity). Most encouragingly, this method had an extremely low levels of intra-observer error, which makes it repeatable and potentially more objective than traditional age estimation methods.</p></div>\",\"PeriodicalId\":40763,\"journal\":{\"name\":\"Forensic Imaging\",\"volume\":\"36 \",\"pages\":\"Article 200579\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666225624000034/pdfft?md5=17b9a5c2bc4851bac7056cea4ed3654d&pid=1-s2.0-S2666225624000034-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666225624000034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Imaging","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666225624000034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
传统的年龄估计方法容易受到主观因素的影响,导致骨骼组合中估计年龄的可靠性和可重复性降低。为了减少主观性,本研究采用了一种旨在分析表面地形的计算方法--迪里希勒法向能量(DDE),对耳廓表面与年龄相关的退化进行数学评估。通过激光扫描创建了 153 个考古个体的重建三维模型,并使用 R studio 软件包 MolaR 进行了分析。DNE 值与耳廓表面整体以及一些地形特征(表面起伏、根尖活动、大孔)的年龄阶段(Buckberry-Chamberlain 和 Lovejoy)呈中度相关。最令人鼓舞的是,这种方法的观察者内部误差极小,因此可重复性好,可能比传统的年龄估计方法更客观。
Technical note: Analysis of the auricular surface for age estimation using dirichlet normal energy
Traditional age estimation methods are prone to subjectivity, leading to a decrease in the reliability and repeatability of estimated ages in skeletal assemblages. In an attempt to reduce the level of subjectivity, this research applied a computational method designed to analyze surface topography, Dirichlet Normal Energy (DNE), to provide a mathematical assessment of age-related degeneration in the auricular surface. Reconstructed 3D models of 153 archaeological individuals were created by laser scanning and analyzed using the R studio package MolaR. DNE values showed moderate correlations with age phase (Buckberry-Chamberlain and Lovejoy), for the auricular surface as a whole as well as a number of topographical features (surface undulation, apical activity, macroporosity). Most encouragingly, this method had an extremely low levels of intra-observer error, which makes it repeatable and potentially more objective than traditional age estimation methods.