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Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold

机译:通过计算流体动力学计算的鼻气流变量对断层扫描阈值的敏感性

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摘要

Computational fluid dynamics (CFD) allows quantitative assessment of transport phenomena in the human nasal cavity, including heat exchange, moisture transport, odorant uptake in the olfactory cleft, and regional delivery of pharmaceutical aerosols. The first step when applying CFD to investigate nasal airflow is to create a 3-dimensional reconstruction of the nasal anatomy from computed tomography (CT) scans or magnetic resonance images (MRI). However, a method to identify the exact location of the air-tissue boundary from CT scans or MRI is currently lacking. This introduces some uncertainty in the nasal cavity geometry. The radiodensity threshold for segmentation of the nasal airways has received little attention in the CFD literature. The goal of this study is to quantify how uncertainty in the segmentation threshold impacts CFD simulations of transport phenomena in the human nasal cavity. Three patients with nasal airway obstruction were included in the analysis. Pre-surgery CT scans were obtained after mucosal decongestion with oxymetazoline. For each patient, the nasal anatomy was reconstructed using three different thresholds in Hounsfield units (-800HU, -550HU, and -300HU). Our results demonstrate that some CFD variables (pressure drop, flowrate, airflow resistance) and anatomic variables (airspace cross-sectional area and volume) are strongly dependent on the segmentation threshold, while other CFD variables (intranasal flow distribution, surface area) are less sensitive to the segmentation threshold. These findings suggest that identification of an optimal threshold for segmentation of the nasal airway from CT scans will be important for good agreement between in vivo measurements and patient-specific CFD simulations of transport phenomena in the nasal cavity, particularly for processes sensitive to the transnasal pressure drop. We recommend that future CFD studies should always report the segmentation threshold used to reconstruct the nasal anatomy.
机译:计算流体动力学(CFD)可以定量评估人鼻腔中的传输现象,包括热交换,水分传输,嗅裂中的气味吸收以及药物气雾剂的局部输送。应用CFD检查鼻气流的第一步是根据计算机断层扫描(CT)扫描或磁共振图像(MRI)创建鼻腔解剖结构的3维重建。但是,目前缺乏从CT扫描或MRI识别空气组织边界的确切位置的方法。这在鼻腔几何结构中引入了一些不确定性。在CFD文献中,用于鼻道分割的射线密度阈值很少受到关注。这项研究的目的是量化分割阈值中的不确定性如何影响人鼻腔中运输现象的CFD模拟。分析中包括三例鼻气道阻塞患者。羟甲唑啉使粘膜充血后进行术前CT扫描。对于每个患者,使用Hounsfield单位(-800HU,-550HU和-300HU)中的三个不同阈值来重建鼻腔解剖结构。我们的结果表明,某些CFD变量(压降,流速,气流阻力)和解剖变量(空域截面积和体积)强烈取决于分割阈值,而其他CFD变量(鼻内流量分布,表面积)则较小对细分阈值敏感。这些发现表明,从CT扫描确定鼻气道分割的最佳阈值对于体内测量与患者特定的CFD模拟鼻腔运输现象之间的良好一致性非常重要,特别是对于对经鼻压敏感的过程而言下降。我们建议未来的CFD研究应始终报告用于重建鼻腔解剖结构的分割阈值。

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