基于压力-泊松方程，使用粒子图像测速技术（PIV）来确定稳定流条件下狭窄模型中的相对压力。
Using PIV to determine relative pressures in a stenotic phantom under steady flow based on the pressure-poisson equation.
作者信息
Khodarahmi Iman, Shakeri Mostafa, Sharp M, Amini Amir A
机构信息
Medical Imaging Lab., Department of Electrical and Computer Engineering, University of Louisville, KY 40292, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2594-7. doi: 10.1109/IEMBS.2010.5626676.
Pressure gradient across a Gaussian-shaped 87% area stenosis phantom was estimated by solving the pressure Poisson equation (PPE) for a steady flow mimicking the blood flow through the human iliac artery. The velocity field needed to solve the pressure equation was obtained using particle image velocimetry (PIV). A steady flow rate of 46.9 ml/s was used, which corresponds to a Reynolds number of 188 and 595 at the inlet and stenosis throat, respectively (in the range of mean Reynolds number encountered in-vivo). In addition, computational fluid dynamics (CFD) simulation of the same flow was performed. Pressure drops across the stenosis predicted by PPE/PIV and CFD were compared with those measured by a pressure catheter transducer. RMS errors relative to the measurements were 17% and 10% for PPE/PIV and CFD, respectively.
通过求解压力泊松方程（PPE）来估计模拟血液流经人体髂动脉的稳定流在高斯形状的87%面积狭窄模型上的压力梯度。求解压力方程所需的速度场通过粒子图像测速技术（PIV）获得。使用了46.9毫升/秒的稳定流速，该流速分别对应于入口和狭窄喉部处188和595的雷诺数（处于体内遇到的平均雷诺数范围内）。此外，还对相同流动进行了计算流体动力学（CFD）模拟。将PPE/PIV和CFD预测的狭窄处压降与压力导管传感器测量的压降进行了比较。相对于测量值，PPE/PIV和CFD的均方根误差分别为17%和10%。
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