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A novel method for landmark-based personal identification on panoramic dental radiographic and computed tomographic images

机译:基于地标的全景牙科射线射线照相和计算机断层图像的新方法

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摘要

Personal identification based on dental work is a well-known and useful method for post-mortem identification. Recently, several odontologists have matched reconstructed post-mortem computed tomographic (CT) panoramic images of unidentified bodies with ante-mortem dental panoramic X-ray images for identification purposes. However, it is not always possible to obtain useful information from these panoramic X-ray and CT images. To obtain more accurate information for personal identification, we focused on the anatomical structures of the maxilla and mandible rather than dental work on the images. The aim of the present research is to develop a novel method for the personal identification of unidentified bodies, based on landmarks on the tooth sockets, which are not notably subject to post-mortem changes. We calculated the Procrustes distance and Pearson's correlation coefficients of the landmarks of two sample images, and used the results to correctly identify the subjects from among a pool of 100 candidates, without having to rely on information on dental work. We conclude that this method is a reliable tool and can be easily and rapidly applied for victim and missing person identification.
机译:基于牙科工作的个人识别是验尸识别的众所周知和有用的方法。最近,几个Odontologiacher已经匹配了具有用于识别目的的Ante-Mortem牙科全景X射线图像的未识别的身体的重建后验验的验尸验尸(CT)全景图像。然而,并不总是可以从这些全景X射线和CT图像获得有用的信息。为了获得更准确的个人识别信息,我们专注于上颌骨和下颌骨的解剖结构,而不是图像上的牙科工作。本研究的目的是基于齿插座上的地标,开发一种新的个人识别身份证明身体的方法,这不受验验后变化的影响。我们计算了两种样本图像的地标的Procrustes距离和Pearson的相关系数,并使用结果来正确地识别来自100个候选的池中的科目,而无需依赖于牙科工作的信息。我们得出结论,这种方法是一种可靠的工具,可以很容易且迅速申请受害者和缺少人识别。

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