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A multi-angle plane wave imaging approach for high frequency 2D flow visualization in small animals: Simulation study in the murine arterial system

机译:小动物高频二维流可视化的多角度平面波成像方法:鼠动脉系统的仿真研究

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To preclinically investigate the role of hemodynamics in atherogenesis, mouse models are particularly useful due to the rapid disease development. As such, murine blood flow visualization has become an important tool, with current US systems equipped with traditional 1D flow imaging techniques, lacking spatial and/or temporal resolution to accurately resolve in-vivo flow fields. Hence, we investigated multi-angle plane wave imaging for ultrafast, 2D vector flow visualization and compared this approach with conventional pulsed Doppler in the setting of a mouse aorta with abdominal aortic aneurysm. For this purpose, we used a multiphysics model which allowed direct comparison of synthetic US images with the true flow field behind the image. In case of the abdominal aorta, we showed the mean flow estimation improved 9% when using 2D vector Doppler compared to conventional Doppler, but still underestimated the true flow because the full spatial velocity distribution remained unknown. We also evaluated a more challenging measurement location, the mesenteric artery (aortic side branch), often assessed in a short-axis view close to the origin of the branch to avoid the smaller dimensions downstream. Even so, complex out-of-plane flow dynamics hampered a reliable flow assessment for both techniques. Hence, both cases illustrated the need for 3D vascular imaging, allowing acquisition of the full 3D spatial velocity profile.
机译:为了临床前研究血液动力学在动脉粥样硬化中的作用,由于疾病的迅速发展,小鼠模型特别有用。这样,鼠血流可视化已经成为重要的工具,而当前的美国系统配备了传统的一维血流成像技术,缺乏空间和/或时间分辨率来准确地解析体内流场。因此,我们研究了多角度平面波成像的超快2D向量流可视化,并将这种方法与常规脉冲多普勒仪在腹主动脉瘤小鼠主动脉中进行了比较。为此,我们使用了一个多物理场模型,该模型可以将合成的美国图像与图像背后的真实流场直接进行比较。对于腹主动脉,我们显示,与传统的多普勒相比,使用2D矢量多普勒时,平均流量估计值提高了9%,但由于整个空间速度分布仍然未知,因此仍低估了真实流量。我们还评估了更具挑战性的测量位置,肠系膜动脉(主动脉侧支),通常在靠近分支起点的短轴视图中进行评估,以避免下游尺寸较小。即便如此,复杂的平面外流动动力学仍然妨碍了这两种技术的可靠流动评估。因此,两种情况都表明需要3D血管成像,从而可以获取完整的3D空间速度分布图。

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