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将声学捕获与平面波成像相结合用于大血管中局部微泡积聚

Combining Acoustic Trapping With Plane Wave Imaging for Localized Microbubble Accumulation in Large Vessels.

作者信息

Nie Luzhen, Harput Sevan, Cowell David M J, Carpenter Thomas M, Mclaughlan James R, Freear Steven

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2018 Jul;65(7):1193-1204. doi: 10.1109/TUFFC.2018.2838332.

Abstract

The capability of accumulating microbubbles using ultrasound could be beneficial for enhancing targeted drug delivery. When microbubbles are used to deliver a therapeutic payload, there is a need to track them, for a localized release of the payload. In this paper, a method for localizing microbubble accumulation with fast image guidance is presented. A linear array transducer performed trapping of microbubble populations interleaved with plane wave imaging, through the use of a composite pulse sequence. The acoustic trap in the pressure field was created parallel with the direction of flow in a model of a vessel section. The acoustic trapping force resultant from the large gradients in the acoustic field was engendered to directly oppose the flowing microbubbles. This was demonstrated numerically with field simulations, and experimentally using an Ultrasound Array Research Platform II. SonoVue microbubbles at clinically relevant concentrations were pumped through a tissue-mimicking flow phantom and exposed to either the acoustic trap or a control ultrasonic field composed of a single-peak acoustic radiation force beam. Under the flow condition at a shear rate of 433 s, the use of the acoustic trap led to lower speed estimations ( ) in the center of the acoustic field, and an enhancement of 71% ± 28%( ) in microbubble image brightness.

摘要

利用超声积累微泡的能力可能有助于增强靶向药物递送。当使用微泡递送治疗性载荷时,需要对其进行跟踪,以便将载荷局部释放。本文提出了一种利用快速图像引导定位微泡积累的方法。通过使用复合脉冲序列,线性阵列换能器进行微泡群的捕获,并与平面波成像交错进行。在血管段模型中,压力场中的声阱与流动方向平行创建。由声场中的大梯度产生的声捕获力直接与流动的微泡相对抗。通过场模拟进行了数值验证,并使用超声阵列研究平台II进行了实验验证。将临床相关浓度的声诺维微泡泵入组织模拟流动体模中,并使其暴露于声阱或由单峰声辐射力束组成的对照超声场中。在剪切速率为433 s的流动条件下,使用声阱导致声场中心的速度估计值降低( ),微泡图像亮度提高71%±28%( )。

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