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Assessment of nasal profiles for forensic facial approximation in a modern Korean population of known age and sex.
在已知年龄和性别的现代韩国人群中评估法医面部近似的鼻轮廓。
- 影响因子:1.60
- DOI:10.1016/j.legalmed.2019.101646
- 作者列表:"Lee UY","Kim H","Song JK","Kim DH","Ahn KJ","Kim YS
- 发表时间:2020-02-01
Abstract
:The nose is a valuable facial feature for facial recognition and approximation. We propose the use of regression functions to predict nasal profiles comprising the structures around the piriform aperture using CT-based 3D models. We examined craniofacial reconstruction models acquired from computed tomographic images of Korean adults (188 males and 201 females). Eighteen measurements using 16 craniometric landmarks were measured on 3D craniofacial models. We conducted a descriptive analysis with comparisons according to sex, and simple linear regression analyses to obtain regression functions. Using multiple regression analyses with sex and age as independent variables, multiple regression equations were developed with coefficient of determination R2 ranging from 0.314 to 0.724, meaning that the equations for known sex and age were better for the prediction of nasal profiles than equations that assumed only known sex. These equations are useful and practical for reconstructing nasal profiles in forensic analyses.
摘要
: 鼻子是面部识别和近似的有价值的面部特征。我们提出使用基于CT的3D模型使用回归函数来预测包括梨状孔周围结构的鼻轮廓。我们检查了从韩国成年人 (188名男性和201名女性) 的计算机断层扫描图像获得的颅面重建模型。在3D颅面模型上测量使用16个颅标的18个测量值。我们进行了描述性分析,根据性别进行比较,并进行简单线性回归分析以获得回归函数。使用以性别和年龄为自变量的多元回归分析,开发了决定系数R2为0.314至0.724的多元回归方程,这意味着已知性别和年龄的方程比仅假设已知性别的方程更好地预测鼻腔轮廓。这些方程对于法医分析中重建鼻腔轮廓是有用和实用的。
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METHODS:OBJECTIVE:The primary purpose of this study was to evaluate the effectiveness of a three-dimensional (3D) software tool (smart planes) for displaying fetal brain planes, and the secondary purpose was to evaluate its accuracy in performing automatic measurements. MATERIAL AND METHODS:This prospective study included singleton fetuses with a gestational age (GA) greater than 18 weeks. Transabdominal two-dimensional ultrasound (2DUS) and 3D smart planes images were respectively used to obtain the basic planes of the fetal brain, with five parameters measured. The images, by either two-dimensional (2D) manual or 3D automatic operation, were reviewed by two experienced sonographers. The agreements between two measurements were analyzed. RESULTS:A total of 226 cases were included. The rates of successful detection by automatic display were as high as 80%. There was substantial agreement between the measurements of the biparietal diameter, head circumference and transcerebellar diameter, but poor agreement between the measurements of cisterna magna and lateral ventricle width. CONCLUSIONS:Smart Planes might be valuable for the rapid evaluation of fetal brain, because it simplifies the evaluation process. However, the technology requires improvement. In addition, this technology cannot replace the conventional manual US scans; it can only be used as an additional approach.
用电子、摄影或其他方法产生三维图像的过程。