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用于概率乘员模型的人体肝脏的统计几何描述。

A statistical geometrical description of the human liver for probabilistic occupant models.

作者信息

Lu Yuan-Chiao, Untaroiu Costin D

机构信息

Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24060, USA.

Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24060, USA.

出版信息

J Biomech. 2014 Nov 28;47(15):3681-8. doi: 10.1016/j.jbiomech.2014.09.031. Epub 2014 Oct 2.

DOI:10.1016/j.jbiomech.2014.09.031
PMID:25315219
Abstract

Realistic numerical assessments of liver injury risk for the entire occupant population require incorporating inter-subject variations into numerical models. Statistical shape models of the abdominal organs have been shown to be useful tools for the investigation of the organ variations and could be applied to the development of statistical computational models. The main objective of this study was to establish a standard procedure to quantify the shape variations of a human liver in a seated posture, and construct three-dimensional (3D) statistical shape boundary models. Statistical shape analysis was applied to construct shape models of 15 adult human livers. Principal component analysis (PCA) was then utilized to obtain the modes of variation, the mean model, and a set of statistical boundary shape models, which were constructed using the q-hyper-ellipsoid approach. The first five modes of a human liver accounted for the major anatomical variations. The modes were highly correlated to the height, thickness, width, and curvature of the liver, and the concavity of the right lobe. The mean model and the principal components were utilized to construct four boundary models of human liver. The statistical boundary model approach presented in this study could be used to develop probabilistic finite element (FE) models. In the future, the probabilistic liver models could be used in FE simulations to better understand the variability in biomechanical responses and abdominal injuries under impact loading.

摘要

对全体乘员群体的肝损伤风险进行实际数值评估,需要将个体间差异纳入数值模型。腹部器官的统计形状模型已被证明是研究器官变异的有用工具,可应用于统计计算模型的开发。本研究的主要目的是建立一种标准程序,以量化坐姿人体肝脏的形状变异,并构建三维(3D)统计形状边界模型。应用统计形状分析构建了15个成人肝脏的形状模型。然后利用主成分分析(PCA)获得变异模式、平均模型和一组统计边界形状模型,这些模型采用q-超椭球体方法构建。人体肝脏的前五种模式占主要解剖变异。这些模式与肝脏的高度、厚度、宽度、曲率以及右叶的凹陷高度相关。利用平均模型和主成分构建了四种人体肝脏边界模型。本研究提出的统计边界模型方法可用于开发概率有限元(FE)模型。未来,概率肝脏模型可用于有限元模拟,以更好地理解冲击载荷下生物力学响应和腹部损伤的变异性。

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引用本文的文献

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Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review.磁共振成像在肝脏生物力学中的应用:一项系统综述。
Front Physiol. 2021 Sep 22;12:733393. doi: 10.3389/fphys.2021.733393. eCollection 2021.
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Probabilistic liver atlas construction.概率性肝脏图谱构建
Biomed Eng Online. 2017 Jan 13;16(1):15. doi: 10.1186/s12938-016-0305-8.