Physiologically, sinus ventilation is a critical aspect of good functionality for human respiratory function, the understanding of which is still unclear. In this study we develop a method to measure sinus ventilation. Spatial and temporal features of the sinus recirculation are provided through dynamic mode decomposition (DMD). We associate the recirculation feature on the sinus epithelial surface through the wall shear-stress to the 3D airflow features corresponding to the sinus. Turbulent airflow simulations using a Large Eddy Simulation model were conducted in a patient who receives an endoscopic sinus surgery of the ethmoid + sphenoid sinuses. We analyze the flow rate through the ostium and the average wall shear-stress on the sinus epithelial surface. Based on the results, we then use a dynamic mode decomposition method on the sinus, which accurately measures the recirculation in the cavity. Drug delivery in the paranasal sinuses is challenging; therefore it is essential to understand well the airflow in this region. We suggest that DMD is a powerful method to analyze and understand this complex pathophysiology problem. This method has to be considered for the rhinologists as a milestone.

中文翻译：

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鼻窦通气的高保真 CFD 仿真的动态模式分解分析

从生理上讲，鼻窦通气是人体呼吸功能良好功能的一个关键方面，对此的理解尚不清楚。在这项研究中，我们开发了一种测量鼻窦通气的方法。窦性再循环的空间和时间特征是通过动态模式分解 (DMD) 提供的。我们通过壁剪切应力将窦上皮表面的再循环特征与对应于窦的 3D 气流特征相关联。使用大涡流模拟模型的湍流气流模拟在接受筛窦 + 蝶窦内窥镜鼻窦手术的患者中进行。我们分析了通过口的流速和窦上皮表面的平均壁剪切应力。根据结果​​，我们然后对正弦使用动态模式分解方法，可准确测量空腔中的再循环。鼻旁窦中的药物递送具有挑战性；因此，必须充分了解该区域的气流。我们建议 DMD 是分析和理解这一复杂病理生理学问题的有力方法。这种方法必须被鼻科医师视为一个里程碑。