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. 2017 Mar 30;2(1):34-39.
doi: 10.1080/20961790.2016.1276120. eCollection 2017.

Multiple regression analysis of the craniofacial region of Chinese Han people using linear and angular measurements based on MRI

Chengzhi Li  1   2   3 , Wei Wu  2 , Bo Zhu  4 , Xuefeng Liu  1   2 , Ping Huang  3 , Zhenyuan Wang  1 , Ya Tuo  5 , Fu Ren  2
Affiliations

Multiple regression analysis of the craniofacial region of Chinese Han people using linear and angular measurements based on MRI

Chengzhi Li et al. Forensic Sci Res. .

Abstract

The purpose of this study was to measure the craniofacial region of Chinese Han people in the linear and angular dimensions, and to analyse the effects on sex, age and body parameters (height and weight). All 250 individuals (86 males, 164 females) underwent a three-dimensional magnetic resonance imaging (MRI) scan, and the MRI data were imported into VG Studio MAX 2.2 software. Each linear and angular measurement in the craniofacial region was processed directly. Using SPSS 20.0 software, nine multiple regression equations were constructed, and all the adjusted R 2 values were statistically significant (0.031-0.311). Multiple regression analysis showed that most craniofacial measurements of Chinese people were significantly correlated with height, weight or age. The multiple regression equations constructed will be helpful in anthropometric analysis and forensic inference.

Keywords: Forensic science; anthropometry; forensic anthropology; magnetic resonance imaging; regression analysis.

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Figures

Figure 1.
Figure 1.
The stereogram of the three-dimensional reconstruction of MRI data.
Figure 2.
Figure 2.
Linear and angular measurements were performed directly on the VG Studio MAX 2.2 software at three different dimensions. (A) Gn-V, (B) Tr-Op, (C) G-S-Prn, (D) S-Prn-Gn, (E) Ex-Ex, (F) Al-Prn-Al, (G) Ex-Ex, (H) Ex-Gn-Ex.
Figure 3.
Figure 3.
Normal probability plot A show the dependent variable (Gn-V) is in normal distribution, and scatter plot B shows the dependent variable (Gn-V) has equal variance.
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