Three-dimensional evaluation of microvascular networks using contrast-enhanced ultrasound and microbubble tracking.

Kenneth Johnson, Ipek Oezdemir, Kenneth Hoyt
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Abstract

Evaluating tumor microvascular networks with use of contrast-enhanced ultrasound (CEUS) imaging and one-dimensional (1D) linear array transducers have inherit limitations as tumors exist in volume space. The use of a mechanical sweep allows users to overcome this limitation. To that end, we have developed a new method by which a 1D linear array transducer can be mechanically scanned over a region-of-interest to capture a volume of data allowing for the evaluation of microvasculature structures in 3D space. After intravascular injection of a microbubble (MB) contrast agent into a developing chicken embryo, a sequence of CEUS images were acquired using a Vevo 3100 scanner (VisualSonics Inc) and taken at multiple tissue cross-sections. The CEUS images were processed with a singular value filter (SVF) to help remove any clutter signal. MB localization was performed, and frame-to-frame MB movement was analyzed to produce spatial maps depicting blood flow and velocity at each tissue cross-section. Reconstruction of all images allowed visualization of microvascular networks and blood velocity distribution in volume space.

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利用造影剂增强超声波和微泡跟踪技术对微血管网络进行三维评估。
使用对比增强超声(CEUS)成像和一维(1D)线性阵列换能器评估肿瘤微血管网络有其固有的局限性,因为肿瘤存在于体积空间中。使用机械扫描可以克服这一局限性。为此,我们开发了一种新方法,通过这种方法,一维线性阵列换能器可以在感兴趣区进行机械扫描,以捕获一定量的数据,从而评估三维空间的微血管结构。在向发育中的鸡胚胎血管内注射微气泡(MB)造影剂后,使用 Vevo 3100 扫描仪(VisualSonics Inc)在多个组织横截面采集了一系列 CEUS 图像。使用奇异值滤波器 (SVF) 处理 CEUS 图像,以帮助去除任何杂波信号。对 MB 进行定位,并分析帧到帧之间 MB 的移动,以生成描绘每个组织横截面血流和血流速度的空间图。对所有图像进行重构后,微血管网络和血流速度分布在体积空间中的情况就可视化了。
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