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应用自适应速度复合技术于颈动脉分叉处的血管内血流速度向量成像。

In Vivo Blood Velocity Vector Imaging Using Adaptive Velocity Compounding in the Carotid Artery Bifurcation.

机构信息

Medical Ultrasound Imaging Centre (MUSIC), Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

Medical Ultrasound Imaging Centre (MUSIC), Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

出版信息

Ultrasound Med Biol. 2019 Jul;45(7):1691-1707. doi: 10.1016/j.ultrasmedbio.2019.03.008. Epub 2019 May 9.

Abstract

Visualization and quantification of blood flow are considered important for early detection of atherosclerosis and patient-specific diagnosis and intervention. As conventional Doppler imaging is limited to 1-D velocity estimates, 2-D and 3-D techniques are being developed. We introduce an adaptive velocity compounding technique that estimates the 2-D velocity vector field using predominantly axial displacements estimated by speckle tracking from dual-angle plane wave acquisitions. Straight-vessel experiments with a 7.8-MHz linear array transducer connected to a Verasonics Vantage ultrasound system revealed that the technique performed with a maximum velocity magnitude bias and angle bias of -3.7% (2.8% standard deviation) and -0.16° (0.41° standard deviation), respectively. In vivo, complex flow patterns were visualized in two healthy and three diseased carotid arteries and quantified using a vector complexity measure that increased with increasing wall irregularity. This measure could potentially be a relevant clinical parameter which might aid in early detection of atherosclerosis.

摘要

血流的可视化和量化对于动脉粥样硬化的早期检测以及针对患者的诊断和干预非常重要。由于传统的多普勒成像是局限于一维速度估计,因此正在开发二维和三维技术。我们引入了一种自适应速度合成技术,该技术使用由双角度平面波采集的散斑跟踪主要估计的轴向位移来估计二维速度矢量场。具有 7.8MHz 线性阵列换能器的直血管实验与 Verasonics Vantage 超声系统相连,结果表明该技术的最大速度幅度偏差和角度偏差分别为-3.7%(2.8%标准差)和-0.16°(0.41°标准差)。在体内,使用向量复杂度度量可视化了两个健康和三个患病颈动脉的复杂血流模式,并进行了量化,该度量随着壁不规则性的增加而增加。该测量值可能是一个相关的临床参数,有助于早期检测动脉粥样硬化。

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