Dyverfeldt Petter, Sigfridsson Andreas, Kvitting John-Peder Escobar, Ebbers Tino
Division of Clinical Physiology, Department of Medicine and Care, Linköping University, Linköping, Sweden.
Magn Reson Med. 2006 Oct;56(4):850-8. doi: 10.1002/mrm.21022.
Turbulent flow, characterized by velocity fluctuations, is a contributing factor to the pathogenesis of several cardiovascular diseases. A clinical noninvasive tool for assessing turbulence is lacking, however. It is well known that the occurrence of multiple spin velocities within a voxel during the influence of a magnetic gradient moment causes signal loss in phase-contrast magnetic resonance imaging (PC-MRI). In this paper a mathematical derivation of an expression for computing the standard deviation (SD) of the blood flow velocity distribution within a voxel is presented. The SD is obtained from the magnitude of PC-MRI signals acquired with different first gradient moments. By exploiting the relation between the SD and turbulence intensity (TI), this method allows for quantitative studies of turbulence. For validation, the TI in an in vitro flow phantom was quantified, and the results compared favorably with previously published laser Doppler anemometry (LDA) results. This method has the potential to become an important tool for the noninvasive assessment of turbulence in the arterial tree.
湍流以速度波动为特征,是多种心血管疾病发病机制的一个促成因素。然而,目前缺乏一种用于评估湍流的临床无创工具。众所周知,在磁梯度矩的影响下,体素内出现多个自旋速度会导致相位对比磁共振成像(PC-MRI)中的信号丢失。本文给出了一个用于计算体素内血流速度分布标准差(SD)的表达式的数学推导。该标准差是从用不同的第一梯度矩采集的PC-MRI信号幅度中获得的。通过利用标准差与湍流强度(TI)之间的关系,该方法可用于湍流的定量研究。为进行验证,对体外流动模型中的湍流强度进行了量化,结果与先前发表的激光多普勒风速仪(LDA)结果相比表现良好。该方法有可能成为无创评估动脉树中湍流的重要工具。