基于统计形状模型的肱骨形态学描述研究

doi:10.3969/j.issn.1006-7795.2025.05.001

首都医科大学学报

• 智慧骨科及手术机器人临床应用 • 上一篇下一篇

基于统计形状模型的肱骨形态学描述研究

高伟录^1，2，3 ,贾争锋^1，2,3 ,杨长森^1，2,3,李建涛^1，2 ,苏秀云^1，2 ,张里程^1，2*

1.中国人民解放军总医院骨科医学部，北京 100048；2.国家骨科与运动康复临床医学研究中心，北京 100048；3.中国人民解放军总医院研究生院，北京 100048

收稿日期:2025-07-07 修回日期:2025-07-21 出版日期:2025-10-22 发布日期:2025-10-22
通讯作者: 张里程 E-mail:zhanglcheng218@126.com
基金资助:
国家重点研发计划项目（2022YFC2504300），国家自然科学基金项目（82302788）。

A morphological description of the humerus based on statistical shape modeling

Gao Weilu^1,2,3, Jia Zhengfeng ^1,2,3, Yang Changsen^1,2,3,Li Jiantao^1,2 , Su Xiuyun ^1,2 , Zhang Licheng ^1,2*

1.Department of Orthopedics, Chinese PLA General Hospital, Beijing 100048, China; 2.National Clinical Research Center for Orthopedics, Sports Medicine and Rehabilitation, Beijing 100048, China; 3.Graduate School of Medical School of Chinese PLA Hospital, Beijing 100048, China

Received:2025-07-07 Revised:2025-07-21 Online:2025-10-22 Published:2025-10-22
Supported by:
This study was supported by National Key Research and Development Program of China（2022YFC2504300），National Natural Science Foundation of China (82302788).

摘要/Abstract

摘要： 目的构建高精度的肱骨统计形状模型，并系统性地描述其解剖变异规律。方法利用收集的60例肱骨的三维模型数据构建肱骨统计形状模型，采用主成分分析方法，揭示了肱骨解剖变异的主要模式及其贡献率。结果研究显示，前五个主成分（PC01~PC05）共同解释了96. 6%的总体解剖变异，其中PC01和PC02为主要成分，分别贡献了66. 6%和23. 5%的变异。PC01主要反映了肱骨整体尺寸（长度/宽度）的缩放效应，而PC02揭示了独立于整体缩放的长度变异特征，可能反映了个体化差异。后续主成分（PC03~PC05）则刻画了肱骨近端和远端的局部形态特征及其精细变化。结论本研究构建的统计形状模型，为个性化假体设计、手术规划及生物力学仿真提供了可靠的数字化基础。

关键词: 肱骨, 三维重建, 解剖变异, 形态学变化, 统计形状模型, 主成分分析

Abstract: Objective To construct a high-precision statistical shape model of the humerus and systematically describe its anatomical variation patterns. Methods In this study, a statistical shape model of the humerus was constructed using the three-dimensional model data of 60 collected humerus cases. The principal component analysis method was adopted to reveal the main patterns of humerus anatomical variations and their contribution rates. Results The results showed that the first five principal components (PC01-PC05) collectively explained 96. 6% of the total anatomical variations. Among them, PC01 and PC02 were the main components, contributing 66. 6% and 23. 5% of the variations respectively. PC01 mainly reflects the scaling effect of the overall size (length/width) of the humerus, while PC02 reveals the length variation characteristics independent of the overall scaling, which may reflect individualized differences. The subsequent principal components (PC03-PC05) depicted the local morphological characteristics and fine changes of the proximal and distal humerus. Conclusion The statistical shape model constructed in this study provides a reliable digital basis for personalized prosthesis design, surgical planning and biomechanical simulation.

Key words: humerus, three-dimensional reconstruction, anatomical variation, morphological changes, statistical shape modeling, principal component analysis

中图分类号:

R323.7+1

高伟录, 贾争锋, 杨长森, 李建涛, 苏秀云, 张里程. 基于统计形状模型的肱骨形态学描述研究[J]. 首都医科大学学报, doi: 10.3969/j.issn.1006-7795.2025.05.001.

Gao Weilu , Jia Zhengfeng , Yang Changsen , Li Jiantao , Su Xiuyun , Zhang Licheng . A morphological description of the humerus based on statistical shape modeling[J]. Journal of Capital Medical University, doi: 10.3969/j.issn.1006-7795.2025.05.001.

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基于统计形状模型的肱骨形态学描述研究

A morphological description of the humerus based on statistical shape modeling

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