...
首页> 外文期刊>Journal of Forensic Radiology and Imaging >Development of three-dimensional facial approximation system using head CT scans of Japanese living individuals
【24h】

Development of three-dimensional facial approximation system using head CT scans of Japanese living individuals

机译:利用日本生活中CT扫描的三维面部近似系统的开发

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

We developed software for three-dimensional (3D) facial approximation from the skull based on computed tomography (CT) scans of the head obtained from 59 Japanese adult volunteers (40 males, 19 females). CT scanning was performed while participants raised their head in an upright position while in a prone body posture. The positional relationships between the skull and head surface shape were analyzed by creating anatomically homologous shape models. Before modeling, skull shapes were simplified by concealing hollow structures of the skull using in-house software. Surficial tissue thickness (STT), represented by the distances between corresponding vertices of the simplified skull and head surface, was calculated for each individual, and averaged for each sex. Although the approximate head shapes of known individuals showed a relatively good resemblance in both the shape of the whole head and facial parts, some errors were identified, particularly in areas with thick surficial tissue. The results revealed sexual dimorphism of STT, with males exhibiting thinner surficial tissue at the cheek, and thicker tissue at the glabella, nose, mouth, and chin. Moreover, we created referential models for craniofacial superimposition from average models of the skull and head surface shape for each sex.
机译:我们开发了基于从59名日本成年志愿者获得的头部的头骨(CT)扫描(40男性,19名女性)的头颅的三维(3D)面部近似软件。 CT扫描是在易于身体姿势的同时在直立位置抬起头部的扫描。通过产生解剖学同源形状模型来分析颅骨和头表面形状之间的位置关系。在建模之前,通过使用内部软件隐藏头骨的空心结构来简化颅骨形状。通过简化颅骨和头表面的对应顶点之间的距离表示的曲面组织厚度(STT),为每个单独计算,并为每种性行为平均。尽管已知个体的近似头部形状在整个头部和面部部件的形状中显示出相对较好的相似性,但是鉴定了一些误差,特别是在具有粗曲面组织的区域。结果揭示了STT的性二态性,患有在脸颊,鼻子,嘴巴和下巴上呈现较薄的曲面组织的雄性。此外,我们为每种性别的头骨和头表面形状的平均模型创建了颅面叠加的参考模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号