CT-based geometry analysis and finite element models of the human and ovine bronchial tree
CT-based geometry analysis and finite element models of the human and ovine bronchial tree
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DOI：
10.1152/japplphysiol.00520.2004
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发表时间：
2004-12-01
影响因子：
3.3
通讯作者：
Hoffman, EA
中科院分区：
文献类型：
--
作者：
Tawhai, MH;Hunter, P;Hoffman, EA
从功能性医学成像的实验结果的解释是复杂的气道几何形状的个体间和种间差异。应用计算模型来理解这些差异的重要性需要生成支气管气道树的受试者特异性几何模型的方法。在目前的研究中，曲线气道中心线和直径模型已被安装到人类和绵羊支气管树使用详细的数据分割从多探测器行X射线计算机断层扫描。树已被扩展到整个传导气道系统的建模，通过使用体积填充算法生成气道中心线位置内的详细体积描述的肺或肺叶。基于扫描和基于模型的气道几何形状的分析已经验证了其与先前解剖研究的测量结果的一致性，并为绵羊支气管树提供了新的解剖数据。通过使用相同的参数集，容积填充算法产生了适合于人类和绵羊肺的具有分支不对称性的气道树，证明了该方法对肺或肺叶容积形状的依赖性。已经开发的建模方法可以应用于气道树的任何细节水平和肺的任何体积形状;因此，它可以直接用于不同的个体或动物以及任何数量的基于扫描的气道。由此产生的模型是特定于主题的计算网格与解剖学上一致的几何形状，适用于模拟研究中的应用。
The interpretation of experimental results from functional medical imaging is complicated by intersubject and interspecies differences in airway geometry. The application of computational models in understanding the significance of these differences requires methods for generation of subject-specific geometric models of the bronchial airway tree. In the current study, curvilinear airway centerline and diameter models have been fitted to human and ovine bronchial trees using detailed data segmented from multidetector row X-ray-computed tomography scans. The trees have been extended to model the entire conducting airway system by using a volume-filling algorithm to generate airway centerline locations within detailed volume descriptions of the lungs or lobes. Analysis of the geometry of the scan-based and model-based airways has verified their consistency with measures from previous anatomic studies and has provided new anatomic data for the ovine bronchial tree. With the use of an identical parameter set, the volume-filling algorithm has produced airway trees with branching asymmetry appropriate for the human and ovine lung, demonstrating the dependence of the method on the shape of the lung or lobe volume. The modeling approach that has been developed can be applied to any level of detail of the airway tree and into any volume shape for the lung; hence it can be used directly for different individuals or animals and for any number of scan-based airways. The resulting models are subject-specific computational meshes with anatomically consistent geometry, suitable for application in simulation studies.