Evaluation of the applicability of regression equations for sorting commingled remains on 3-Dimensional bony elements from CT scans

被引：6

作者：

De Simone, Samantha ^{[1
]}

Hackman, Lucina S. ^{[1
]}

机构：

[1] Univ Dundee, Ctr Anat & Human Identificat, MSI WTB Complex,Dow St, Dundee DD1 5EH, Scotland

来源：

FORENSIC SCIENCE INTERNATIONAL | 2019年 / 301卷

关键词：

Forensic science; Forensic anthropology; CT scans; 3-D segmentation and reconstruction; Human identification; Commingled scenarios; FRAGMENTARY FEMORA; STATURE ESTIMATION; SOUTH-AFRICANS; IDENTIFICATION; RECONSTRUCTION; LENGTH;

D O I：

10.1016/j.forsciint.2019.05.021

中图分类号：

DF [法律]; D9 [法律]; R [医药、卫生];

学科分类号：

0301 ; 10 ;

摘要：

This pilot study examines the applicability of osteometric models for addressing commingled remains, which were originally developed for dry specimens, on 3-Dimensional bony elements in relation to a modern cadaveric population. A total of 70 bony elements (humeri, radii, ulnae, femora, tibiae and fibulae) were segmented and virtually reconstructed from cadaveric whole-body CT scans. Linear measurements were taken (using MeshLab v.2016.12) of the 3-Dimensional elements and osteometric models for sorting applied to them (Byrd and Adams, 2003). This study showed that on the selected specimens the quality of the surface of the reconstructed specimens compromised the efficacy of the models, and consequently the reliability of the results. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：160 / 165

页数：6

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