法医学杂志

法医学杂志 ›› 2019, Vol. 35 ›› Issue (2): 200-204.DOI: 10.12116/j.issn.1004-5619.2019.02.013

• 论著 • 上一篇    下一篇

中国维吾尔族人颅骨性别识别方法

杨稳， 刘晓宁， 朱菲， 刘雄乐， 朱丽品   

  1. 西北大学信息科学与技术学院，陕西 西安 710127
  • 发布日期:2019-04-25 出版日期:2019-04-28
  • 通讯作者: 刘晓宁，女，副教授，硕士研究生导师，主要从事模式识别与三维可视化技术研究；E-mail：xnliu@nwu.edu.cn
  • 作者简介:杨稳（1993—），男，硕士研究生，主要从事模式识别与计算机辅助颅面复原研究；E-mail：920759301@qq.com
  • 基金资助:
    国家自然科学基金资助项目（61305032）；陕西省自然科学基础研究计划资助项目（2018JM6061）；西北大学研究生自主创新资助项目（YZZ17181）

Sex Recognition of Skulls in Chinese Uygur

YANG Wen, LIU Xiao-ning, ZHU Fei, LIU Xiong-le, ZHU Li-pin   

  1. School of Information Science and Technology, Northwest University, Xi’an 710127, China
  • Online:2019-04-25 Published:2019-04-28

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摘要： 目的 利用Logistic回归方法建立多元回归性别判别函数，对新疆吐鲁番地区维吾尔族成年人完整颅骨模型以及无额骨、无枕骨、无下颌骨的不完整颅骨模型分别进行性别判别。 方法 对CT设备采集得到117个三维颅骨模型（男性60个，女性57个），利用计算机软件测量并统计颅骨的16项测量指标，采用Logistic回归方法建立多元回归性别判别函数，并对方程进行回代检验。 结果 16项测量指标中，除鼻宽（x7）和颅骨最大宽（x13）外，其余14项测量指标在男女性之间的差异均有统计学意义（P<0.05）。由眉弓凸度（x4）、乳突间宽（x6）、颅骨最大长（x12）、颅底长（x15）、颅周长（x16） 5项测量指标建立的完整颅骨性别判别函数，男、女性的判别准确率分别为90.0%、94.7%；由下颌角宽（x10）、下颌体高（x11）、颅周长（x16） 3项测量指标建立的无额骨颅骨模型性别判别函数，男、女性的判别准确率分别为85.0%和84.2%；由眉弓凸度（x4）建立的无枕骨颅骨模型性别判别函数，男、女性的判别准确率分别为80.0%和73.7%；由额骨弦（x5）、枕外隆凸度夹角（x9） 2项测量指标建立的无下颌骨颅骨模型性别判别函数，男、女性的判别准确率分别为85.0%和78.9%。 结论 本研究开发的计算机软件和特征点标定系统可以实现完整颅骨以及无额骨、无枕骨和无下颌骨等颅骨的性别判别。

关键词: 法医人类学, 颅骨, Logistic模型, 性别判别分析, 维吾尔族

Abstract: Objective Logistic regression method was used to establish a multiple regression sex discriminant function to discriminate the complete skull model and the incomplete skull model without frontal bone, occipital bone and mandible of Uygur adults in Turpan, Xinjiang. Methods A total of 117 （60 male and 57 female） three-dimensional skull models were collected by CT. Sixteen cranial measurement indexes were measured and calculated by computer software. The multivariate regression sex discriminant function was established with Logistic regression method and retrospectively tested. Results Among the 16 measurement indexes, except for nose width （x7） and maximum frontal breadth （x13）, the remaining 14 indexes had statistical significance of differences between male and female （P<0.05）. For the discriminant function of complete skull established by eyebrow arch convexity （x4）, mastoid width （x6）, maximum cranial length （x12）, cranial base length （x15）, cranial circumference （x16）, the male and female discrimination accuracy was 90.0% and 94.7%, respectively. For the sex discriminant function of incomplete skull without frontal bone established by mandibular angle width （x10）, mandibular height （x11） and cranial circumference （x16）, the discrimination accuracy of male and female was 85.0% and 84.2%, respectively. For the sex discriminant function of incomplete skull without occipital bone established by the index of eyebrow arch convexity （x4）, the discrimination accuracy of male and female was 80.0% and 73.7%, respectively. For the sex discriminant function of incomplete skull without mandible established by frontal chord （x5） and occipital protrusion angle （x9）, the discrimination accuracy of male and female was 85.0% and 78.9%, respectively. Conclusion The computer software and system developed in our study can achieve sex discrimination of complete skulls and incomplete skulls without frontal bone, occipital bone or mandible.

Key words: forensic anthropology, skull, logistic models, sexual discriminant analysis, Uygur nationality