头颅x线摄影在死后识别中的应用分析

B. Imen, Babouche Farid, Bouharati Khaoula, H. Mokhtar, Bouharati Saddek
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摘要

目的:作为一种司法程序,尸检放射照相通常是为了了解死亡原因。在鉴定尸体时,对腐烂、烧焦或严重变形的尸体进行系统的x光检查。如今,其他放射学技术也被用于尸体识别。在集体灾难(战争、航空事故或工业事故等)的情况下,比较死前的x光片很容易。在没有这些的情况下,前庭颅骨摄影和位置形态计量分析是必要的。在本研究中考虑了颅骨的具体特征。它让我们把他的种族作为第一个身份。方法:在本研究中,基于指定每个种族(高卢-罗马人,日本人,阿伊努人,美洲印第安人,美拉尼西亚人,非洲黑人,澳大利亚人,塔斯马尼亚人……)的数据建立数据库。每一组都由特定的特征来区分(结构的形状和它们在轴线上的位置,它们的结构和它们的相互连接)。通过对头骨的放射照相测量和人工神经网络分析,将有可能将其归因于所属的种族。结论:在本研究中,我们将这些特征(距离、周长、曲线、体积和角度)视为网络的输入变量。这些变量与指向个体种族的输出变量相关。这可以成为法医学鉴定的宝贵工具。通讯:Saddek B,智能系统实验室,Ferhat abbas UFAS Setif1大学,阿尔及利亚,E-mail: sbouharati@univ-setif.dz
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An analysis of cranial radiography in post-mortem recognition
Aim: Often post-mortem radiography as a judicial procedure is intended to know the causes of death. X-rays are systematic on putrefied, charred or severely altered bodies when identifying a body. Nowadays other radiological techniques are used in post mortem recognition. In the case of collective disasters (war, air accident, or industrial ...etc.) the task is easy when comparing ante-mortem radiographs. In the absence of these, vestibular craniography and positional morpho-metric analysis is necessary. Specific characters of a skull are taken into account in this study. It refers us to his race as the first identification. Method: In this study, a database is based on the data that specifying each ethnic group (Gallo-Romans, Japanese, Ainu, Amerindians, Melanesians, African Blacks, Australians, Tasmanians ...). Each group is distinguished by specific characters (the shape of the structures and for their position in the axes, their structure and their reciprocal articulation). From measurements made on radiography skull and artificial neural network analysis, it will be possible to attribute this to the ethnic group to which it belongs. Conclusion: In this study, we consider these characters (distances, circumferences, curve, volumes, and angles) are considered as input variables of the network. These variables are related to an output variable that refers to the individual race. This can be a valuable tool for identification in forensic medicine. Correspondence to: Saddek B, Laboratory of Intelligent Systems, Ferhat Abas UFAS Setif1 University, Algeria, E-mail: sbouharati@univ-setif.dz
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