Ha Hojin, Huh Hyung Kyu, Park Kyung Jin, Dyverfeldt Petter, Ebbers Tino, Kim Dae-Hee, Yang Dong Hyun
Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea.
Daegu-Gyeongbuk Medical Innovation Foundation, Medical Device Development Center, Daegu, South Korea.
Front Bioeng Biotechnol. 2021 Dec 7;9:774954. doi: 10.3389/fbioe.2021.774954. eCollection 2021.
Imaging hemodynamics play an important role in the diagnosis of abnormal blood flow due to vascular and valvular diseases as well as in monitoring the recovery of normal blood flow after surgical or interventional treatment. Recently, characterization of turbulent blood flow using 4D flow magnetic resonance imaging (MRI) has been demonstrated by utilizing the changes in signal magnitude depending on intravoxel spin distribution. The imaging sequence was extended with a six-directional icosahedral (ICOSA6) flow-encoding to characterize all elements of the Reynolds stress tensor (RST) in turbulent blood flow. In the present study, we aimed to demonstrate the feasibility of full RST analysis using ICOSA6 4D flow MRI under physiological conditions. First, the turbulence analysis was performed through experiments with a physiological pulsatile flow condition. Second, a total of 12 normal subjects and one patient with severe aortic stenosis were analyzed using the same sequence. The study showed that total turbulent kinetic energy (TKE) was less affected by the signal-to-noise ratio (SNR), however, maximum principal turbulence shear stress (MPTSS) and total turbulence production (TP) had a noise-induced bias. Smaller degree of the bias was observed for TP compared to MPTSS. study showed that the subject-variability on turbulence quantification was relatively low for the consistent scan protocol. The demonstration of the stenosis patient showed that the turbulence analysis could clearly distinguish the difference in all turbulence parameters as they were at least an order of magnitude larger than those from the normal subjects.
成像血流动力学在因血管和瓣膜疾病导致的异常血流诊断中以及在监测手术或介入治疗后正常血流的恢复方面发挥着重要作用。最近,通过利用取决于体素内自旋分布的信号幅度变化,已经证明了使用四维流动磁共振成像(MRI)对湍流进行表征。成像序列通过六向二十面体(ICOSA6)流动编码进行扩展,以表征湍流中雷诺应力张量(RST)的所有元素。在本研究中,我们旨在证明在生理条件下使用ICOSA6四维流动MRI进行全RST分析的可行性。首先,通过在生理脉动流条件下的实验进行湍流分析。其次,使用相同序列对总共12名正常受试者和1名重度主动脉瓣狭窄患者进行了分析。研究表明,总湍流动能(TKE)受信噪比(SNR)的影响较小,然而,最大主湍流剪应力(MPTSS)和总湍流生成(TP)存在噪声诱导偏差。与MPTSS相比,TP的偏差程度较小。研究表明,对于一致的扫描方案,湍流量化的受试者变异性相对较低。对狭窄患者的研究表明,湍流分析可以清楚地区分所有湍流参数的差异,因为它们至少比正常受试者的参数大一个数量级。