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Erschienen in: International Journal of Legal Medicine 3/2021

17.10.2020 | Original Article

Morphological analysis of three-dimensionally reconstructed frontal sinuses from Chinese Han population using computed tomography

verfasst von: Huan Zhao, Yuan Li, Hui Xue, Zhen Hua Deng, Wei Bo Liang, Lin Zhang

Erschienen in: International Journal of Legal Medicine | Ausgabe 3/2021

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Abstract

The uniqueness and reliability of frontal sinuses for personal identification have gained wide recognition in forensics. However, few studies have assessed the usefulness of a three-dimensional (3D) model of the frontal sinus for human identification. This study aimed to develop standardized techniques to classify the frontal sinus according to its 3D morphological metrics and discover the usefulness of the 3D frontal sinus model in identification of Chinese Han population. One hundred and ninety-six computed tomography (CT) scans of patients older than 20 years (84 males and 112 females) were collected. A 3D frontal sinus digital model was segmented using Dolphin Imaging software. The following morphological metrics of the 3D frontal sinus were used to develop the coding system: bilateral or unilateral, spatial relationships of the two sides, number of septations, superior volume side, the shape of the 3D model of each side, shape of the medial surface and frontal ostium on each side, number of accessory septations on each side, number of supra-orbital cells of the medial surface and lateral surface on each side, and number of the arcades on each side. The new coding system accurately identified all of our research individuals. This study discovered a number of individual variations in the 3D frontal sinus morphology patterns. A coding system, which is based on these morphological patterns, exposes the morphological variants of frontal sinuses and presents the usefulness of 3D frontal sinus model for human identification.
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Metadaten
Titel
Morphological analysis of three-dimensionally reconstructed frontal sinuses from Chinese Han population using computed tomography
verfasst von
Huan Zhao
Yuan Li
Hui Xue
Zhen Hua Deng
Wei Bo Liang
Lin Zhang
Publikationsdatum
17.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Legal Medicine / Ausgabe 3/2021
Print ISSN: 0937-9827
Elektronische ISSN: 1437-1596
DOI
https://doi.org/10.1007/s00414-020-02443-5

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