基于统计形状模型的国人骨盆解剖

苏秀云 何婕 赵巍 孙德顺 李衡 欧益谊 裴国献

解剖学报 ›› 2024, Vol. 55 ›› Issue (6) : 715-720.

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解剖学报 ›› 2024, Vol. 55 ›› Issue (6) : 715-720. DOI: 10.16098/j.issn.0529-1356.2024.06.009
解剖学

基于统计形状模型的国人骨盆解剖

  • 苏秀云 何婕 赵巍 孙德顺 李衡 欧益谊 裴国献* 
作者信息 +

Anatomical principal variations of the human pelvic ring using statistic shape model

  • SU  Xiu-yun  HE  Jie  ZHAO  Wei  SUN  De-shun  LI  Heng  OU  Yi-yi  PEI  Guo-xian* 
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文章历史 +

摘要

目的  构建国人整个骨盆的三维统计形状模型,分析骨盆三维形态的个体变异与性别差异。 方法 收集201例 国人骨盆CT数据,基于深度学习自动重建骨盆三维模型,通过三维模型配准,密集同源网格映射,使用三维统计形状模型(SSM)和主成分(PC)分析方法提取骨盆形状变化模式,并对男女性别之间的形状变化模式(MoV)进行统计比较。 结果 分析了前10种主成分形状变化模式,占总变异的86.1%。其中PC01、PC02和PC04性别之间差异显著(P <0.001),合计占总变异的60.1%。PC08和PC10表现了骨盆的不对称性,合计占总变异的3.8%。 结论  构建了国人骨盆的三维统计形态模型,揭示了国人骨盆个体形态变异与性别差异。 

Abstract

Objective  To construct a three-dimensional statistical shape model of the pelvis and analyze the individual variation and gender differences of the three-dimensional shape of the pelvis. Methods  We collected CT data from 201 Chinese individuals and used deep learning to automatically reconstruct three-dimensional models of the pelvis. Through three-dimensional model registration, dense correspondence mesh mapping, and the use of statistical shape modelling (SSM) and principal component (PC) analysis method, we extracted models of variations (MoV) of pelvic shape changes and statistically compared the shape MoV between males and females. Results  We analysed the top 10 principal components of shape variations, which accounted for 86.1% of the total variability. Among them, PC01, PC02, and PC04 showed significant differences between genders (P <0.001), accounting for a total variability of 60.1%. PC08 and PC10 demonstrated pelvic asymmetry, accounting for a total variability of 3.8%. Conclusion  We constructed a three-dimensional statistical shape model of the pelvis in Chinese individuals, revealing the morphological variation and sex differences of Chinese pelvis.  

关键词

骨盆 / 解剖变异 / 统计形状模型 / 主成分分析 / 人 

Key words

Pelvis / Anatomical variation / Statistical shape model / Principal component analysis / Human

引用本文

导出引用
苏秀云 何婕 赵巍 孙德顺 李衡 欧益谊 裴国献. 基于统计形状模型的国人骨盆解剖[J]. 解剖学报. 2024, 55(6): 715-720 https://doi.org/10.16098/j.issn.0529-1356.2024.06.009
SU Xiu-yun HE Jie ZHAO Wei SUN De-shun LI Heng OU Yi-yi PEI Guo-xian. Anatomical principal variations of the human pelvic ring using statistic shape model[J]. Acta Anatomica Sinica. 2024, 55(6): 715-720 https://doi.org/10.16098/j.issn.0529-1356.2024.06.009
中图分类号: R322.7   

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基于国人骨盆三维CT大数据的新型耻骨联合解剖钢板研发

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