软组织厚度对法医面部近似再现性的影响:一个比较案例研究

Debesh Nilendu , Abraham Johnson
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引用次数: 0

摘要

法医面部近似在识别传统方法无法识别的个体方面起着至关重要的作用。关键问题是连接硬组织和软组织,同时提高其各种方法的精度和一致性。然而,由于缺乏对不同人群面部特征差异的深入研究和熟练程度,法医面部近似在印度的相关性有限。本研究试图在保持骨骼元素、技术和操作人员不变的情况下,利用不同的软组织厚度数据库评估法医面部重建中面部特征的变化。基于印度不同地理区域的三个面部软组织厚度数据库,创建了三个面部近似。采用视觉评价和叠加法对重建的人脸和被试进行分析。所有重建的面部都显示出彼此之间和受试者之间的相当大的差异。眼睛,耳朵,最重要的是,嘴巴的位置明显不同。没有一种方法对鼻子、眼睛、嘴巴和耳朵有效;即使有了最佳实践,有时也会出现不准确的结果。面部近似应该被看作是科学和艺术的结合,它基于有据可查的解剖学原理。
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Role of soft-tissue thickness on the reproducibility in forensic facial approximation: A comparative case study

Forensic facial approximation plays a vital role in identifying individuals who cannot be identified using conventional approaches. The key concern is linking the hard and soft tissues while improving the precision and consistency of its varied approaches. However, forensic facial approximation has limited relevance in India due to a lack of thorough study and proficiency with a diverse population displaying disparities in facial characteristics. The current study attempts to assess the changes in facial characteristics on forensic facial reconstruction utilizing different soft tissue thickness databases while keeping the skeletal elements, technique, and operator constant. Three facial approximations were created based on three facial soft tissue thickness databases of different geographic regions within India. Visual assessment and superimposition were used to analyze the reconstructed faces and subjects. All the reconstructed faces showed a considerable difference between each other and the subject. The placement of the eyes, ears, and, most crucially, the mouth differed significantly. No approach works with the nose, eyes, mouth, and ears; even with the best practices possible, sometimes inaccurate results occur. Facial approximation should be seen as a blend of science and art based on well-documented anatomical principles.

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来源期刊
Forensic Science International: Reports
Forensic Science International: Reports Medicine-Pathology and Forensic Medicine
CiteScore
2.40
自引率
0.00%
发文量
47
审稿时长
57 days
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