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Validation of Echo-Dynamography by Virtual Color Doppler Echocardiography Generated from Phase Contrast Magnetic Resonance Angiography Datasets

机译:通过相位对比磁共振血管造影数据集产生的虚拟彩色多普勒超声心动图的回声动力学验证

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Echo-Dynamography (EDG) is a smart visualization technique in echocardiography in which two-dimensional distribution of blood flow vectors in cardiovascular system is deduced by applying fluid dynamics theories into Doppler velocity datasets. Previous validation studies such as numerical simulation of free jet model or model circulation were too simple to reproduce unstable and asymmetrical flow in left ventricle. In the present study, virtual color Doppler echocardiography is generated from PC-MRA (phase contrast magnetic resonance angiography) datasets. EDG is applied on virtual Doppler data and the blood flow vectors are compared with those of the original PC-MRA data. EDG-derived blood flow vectors showed similar pattern as the original PC-MRA data when blood flow velocity had high value. The errors were caused from underestimating the magnitude of vortex flow component in the flow field near the boundary of the left ventricular wall. The results also indicated that apical long axis view had small error compared with parasternal long axis view. Despite EDG method causes small errors, it provides important information on blood flow dynamics in most parts.
机译:回声动力学(EDG)是超声心动图中的智能可视化技术,其中通过将流体动力学理论应用于多普勒速度数据集来推导出心血管系统中血流载体的二维分布。以前的验证研究,例如自由喷射模型或模型循环的数值模拟太简单,无法在左心室中再现不稳定和不对称的流动。在本研究中,虚拟彩色多普勒超声心动图是由PC-MRA(相位对比磁共振血管造影)数据集产生的。 EDG应用于虚拟多普勒数据,并将血流矢量与原始PC-MRA数据的数据进行比较。 EDG衍生的血流载体显示出与原始PC-MRA数据相似的模式,当血流速度高的物有所值时。误差是由于低估了左心室壁边界附近流场中的涡流流量分量的大小。结果还表明,与Parasternal长轴视图相比,顶端长轴视图具有小误差。尽管EDG方法导致少量误差,但它在大多数零件中提供有关血流动力学的重要信息。

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