Customized three-dimensional computational fluid dynamics simulation of the upper airway of obstructive sleep apnea
Customized three-dimensional computational fluid dynamics simulation of the upper airway of obstructive sleep apnea
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DOI：
10.2319/071305-231
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发表时间：
2006-09-01
影响因子：
3.4
通讯作者：
Pae, Eung-Kwon
中科院分区：
文献类型：
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作者：
Sung, Sang-Jin;Jeong, Soo-Jin;Pae, Eung-Kwon
目的：使用计算机模拟来描述流体动力学在人体上呼吸道中的作用。 材料和方法：使用来自阻塞性睡眠呼吸暂停 (OSA) 患者的三维 (3-D) 计算机断层 (CT) 图像的原始数据构建模型。使用 Bionix(R) 软件（CantiBio Inc.，水原，韩国），DICOM 格式的 CT 数据被转换为人体上呼吸道解剖学正确的 3D 计算流体动力学 (CFD) 模型。模型构建完成后，将被划分为 725,671 个四元。测试解决方案由 STAR-CD 软件（CD adapco group，New York，NY）执行。假设每个鼻孔吸气速率为 170、200 和 230 毫升/秒时气流为湍流。获得了速度大小、相对压力和流量分布。结果：高气流速度在内侧和腹侧鼻气道区域占主导地位。在腭咽最狭窄部分观察到最大空气流速（15.41 m/s）和最低压力（负110.8 Pa）。考虑到模型几何形状、流速和参考截面的差异，当比较鼻腔气流模式时，我们的结果与之前的数据一致。结论：对气道CT数据的CFD分析增强了我们对OSA病理生理学中咽部空气动力学的理解，并可以预测OSA患者气道改造手术的结果。
Objective: To use computer simulations to describe the role of fluid dynamics in the human upper airway.Materials and Methods: The model was constructed using raw data from three-dimensional (3-D) computed tomogram (CT) images of an obstructive sleep apnea (OSA) patient. Using Bionix((R)) software (CantiBio Inc., Suwon, Korea), the CT data in DICOM format was transformed into an anatomically correct 3-D Computational fluid dynamic (CFD) model of the human upper airway. Once constructed, the model was meshed into 725,671 tetra-elements. The solution for testing was performed by the STAR-CD software (CD adapco group, New York, NY). Airflow was assumed to be turbulent at an inspiration rate of 170, 200, and 230 ml/s per nostril. The velocity magnitude, relative pressure, and flow distribution was obtained.Results: High airflow velocity predominated in medial and ventral nasal airway regions. Maximum air velocity (15.41 m/s) and lowest pressure (negative 110.8 Pa) were observed at the narrowest portions of the velopharynx. Considering differences in model geometry, flow rate, and reference sections, when airflow patterns in nasal cavity were compared, our results were in agreement with previous data.Conclusions: CFD analyses on airway CT data enhanced our understanding of pharyngeal aerodynamics in the pathophysiology of OSA and could predict the outcome of surgeries for airway modification in OSA patients.