Objective parameters to assess the physical flow conditions of breathing are scarce and decisions for surgery, e.g. nasal septum correction, mainly rely on subjective surgeon judgment. To define decision supporting parameters, we compare laser Doppler anemometry (LDA) and numerical computational fluid dynamic simulations (CFD) of the airflow velocity vector fields in the nasal cavity, including lattice Boltzmann (LB) and finite volume methods (FVM). The simulations are based on an anonymous patient CT dataset with septal deviation. LDA measurements are preformed using a 3D printed model. Nasal airflow geometry is randomly deformed in order to approximate surgical changes. The root-mean-square velocity error near the nasal valve of laser Doppler anemometry and lattice Boltzmann simulations is 0.071. Changes in geometry similarly affect both measurement and simulation.

评估呼吸物理流动条件的客观参数很少，手术决定，例如鼻中隔矫正，主要依赖于外科医生的主观判断。为了定义决策支持参数，我们比较了鼻腔中气流速度矢量场的激光多普勒风速测量 (LDA) 和数值计算流体动力学模拟 (CFD)，包括格子玻尔兹曼 (LB) 和有限体积方法 (FVM)。模拟基于具有间隔偏差的匿名患者 CT 数据集。LDA 测量是使用 3D 打印模型进行的。鼻气流几何形状随机变形以接近手术变化。激光多普勒风速测量和格子玻尔兹曼模拟的鼻瓣附近的均方根速度误差为 0.071。