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作 者:苏秀云 何婕 赵巍 孙德顺 李衡 欧益谊 裴国献 SU Xiu-yun;HE Jie;ZHAO Wei;SUN De-shun;LI Heng;OU Yi-yi;PEI Guo-xian(Intelligent Medical Innovation Institute,Southern University of Science and Technology Hospital,Shenzhen 518000,China)
机构地区:[1]南方科技大学医院智能医疗创新研究院,深圳518000
出 处:《解剖学报》2024年第6期715-720,共6页Acta Anatomica Sinica
基 金:国家骨科与运动康复临床医学研究中心创新基金(2021-NCRC-CXJJ-PY-21)。
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。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.
分 类 号:R322[医药卫生—人体解剖和组织胚胎学]
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