Khodarahmi Iman
Department of Electrical and Computer Engineering, University of Louisville, 2210 S Brook St, Shumaker Research Building, Room 216, Louisville, KY, 40292, USA,
MAGMA. 2015 Aug;28(4):385-93. doi: 10.1007/s10334-014-0476-x. Epub 2014 Dec 12.
This study aims to validate phase-contrast magnetic resonance imaging (PC-MRI) measurements of a steady flow through a severe stenotic phantom using particle image velocimetry (PIV) and computational fluid dynamics (CFD).
The study was performed in an axisymmetric 87 % area stenosis model using an inlet Reynolds number (Re) of 160, corresponding to a jet Re of 444. Velocity patterns and estimated fluid shear stresses from three modalities were analyzed and compared qualitatively and quantitatively.
Visual analysis via contour subtraction and Bland-Altman plots showed good agreement for flow velocities and less agreement for maximum shear stress (MSS). The Pearson's coefficients of correlation between PC-MRI and PIV were 0.97 for the velocity field and 0.82 for the MSS. The corresponding parameters between PC-MRI and CFD were 0.96 and 0.84, respectively.
Findings indicate that PC-MRI can be implemented to estimate velocity flow fields and MSS; however, this method is not sufficiently accurate to quantify the MSS at regions of high shear rate.
本研究旨在使用粒子图像测速技术(PIV)和计算流体动力学(CFD)验证通过严重狭窄模型的稳定血流的相位对比磁共振成像(PC-MRI)测量结果。
本研究在轴对称的87%面积狭窄模型中进行,入口雷诺数(Re)为160,对应射流雷诺数为444。对三种模态的速度模式和估计的流体剪应力进行了定性和定量分析及比较。
通过轮廓减法和布兰德-奥特曼图进行的视觉分析表明,流速方面一致性良好,最大剪应力(MSS)方面一致性较差。PC-MRI与PIV之间速度场的皮尔逊相关系数为0.97,MSS为0.82。PC-MRI与CFD之间相应参数分别为0.96和0.84。
研究结果表明,PC-MRI可用于估计速度流场和MSS;然而,该方法在高剪切率区域量化MSS时不够准确。