Glasgow Experimental MRI Centre, Institute of Neuroscience and Psychology, University of Glasgow, UK; Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Glasgow Experimental MRI Centre, Institute of Neuroscience and Psychology, University of Glasgow, UK.
J Magn Reson. 2018 Nov;296:121-129. doi: 10.1016/j.jmr.2018.09.002. Epub 2018 Sep 5.
Phase contrast velocimetry (PCV) has been widely used to investigate flow properties in numerous systems. Several authors have reported errors in velocity measurements and have speculated on the sources, which have ranged from eddy current effects to acceleration artefacts. An often overlooked assumption in the theory of PCV, which may not be met in complex or unsteady flows, is that the intravoxel displacement distributions (propagators) are symmetric. Here, the effect of the higher moments of the displacement distribution (variance, skewness and kurtosis) on the accuracy of PCV is investigated experimentally and theoretically. Phase and propagator measurements are performed on tailored intravoxel distributions, achieved using a simple phantom combined with a single large voxel. Asymmetric distributions (Skewness ≠ 0) are shown to generate important phase measurement errors that lead to significant velocimetry errors. Simulations of the phase of the spin vector sum, based on experimentally measured propagators, are shown to quantitatively reproduce the relationship between measured phase and experimental parameters. These allow relating the observed velocimetry errors to a discrepancy between the average phase of intravoxel spins considered in PCV theory and the vector phase actually measured by a PFG experiment. A theoretical expression is derived for PCV velocimetry errors as a function of the moments of the displacement distribution. Positively skewed distributions result in an underestimation of the true mean velocity, while negatively skewed distributions result in an overestimation. The magnitude of these errors is shown to increase with the variance and decrease with the kurtosis of the intravoxel displacement distribution.
相衬流速测量法(PCV)已被广泛用于研究多种系统中的流动特性。许多作者都曾报道过流速测量中的误差,并推测其来源,这些误差的来源从涡流效应到加速度伪影都有。在 PCV 的理论中,有一个常被忽视的假设,即在复杂或非稳定的流动中可能无法满足,即体素内位移分布(传播器)是对称的。本研究从实验和理论两方面探讨了位移分布的高阶矩(方差、偏度和峰度)对 PCV 准确性的影响。通过使用简单的体模与单个大体素相结合,对定制的体素内分布进行相位和传播器测量。结果表明,非对称分布(偏度≠0)会产生重要的相位测量误差,从而导致显著的流速测量误差。基于实验测量的传播器,对自旋矢量和的相位进行模拟,定量再现了测量相位与实验参数之间的关系。这使我们能够将观察到的流速测量误差与 PCV 理论中考虑的体素内自旋的平均相位与 PFG 实验实际测量的矢量相位之间的差异联系起来。推导出了一个用于 PCV 流速测量误差的理论表达式,作为位移分布矩的函数。正偏态分布会导致真实平均速度的低估,而负偏态分布会导致高估。这些误差的大小与体素内位移分布的方差和峰度成正比。