Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity
Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity
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DOI：
10.1109/tmi.2015.2428634
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发表时间：
2015-11-01
影响因子：
10.6
通讯作者：
Tanter, Mickael
中科院分区：
文献类型：
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作者：
Demene, Charlie;Deffieux, Thomas;Tanter, Mickael
超快超声成像是基于平面或发散超声波的非聚焦传输而迅速发展的领域。这种最近的超声成像方法导致每次采集可用的原始超声数据大幅增加。可以利用更大的同步超声成像数据集，以便在多普勒成像领域中强烈改善组织和血液运动之间的区分。在这里，我们提出了一个时空奇异值分解杂波抑制超快帧速率采集的超声数据。奇异值分解（SVD）利用了组织和血液运动在时空相干性方面的不同特征，其性能明显优于基于高通时域滤波的传统杂波抑制滤波器。传统的杂波滤波器仅在时间维度上工作，而SVD杂波滤波提供了一种四维方法（空间上的3D和时间上的1D）。我们证明了SVD杂波滤波的性能与流量幻影研究，表现出增加的性能相比，其他经典的过滤器（更好的对比度噪声比与组织运动之间的1和10毫米/秒和轴向血流低至2.6毫米/秒）。SVD杂波滤波揭示了先前未检测到的血流，例如微血管网络或被显著组织或探头运动伪影破坏的血流。我们报告了在体内的应用，包括小动物fUltrasound脑成像（血流检测限为0.5 mm/s）和几个临床成像的情况下，如新生儿脑成像，肝脏或肾脏多普勒成像。
Ultrafast ultrasonic imaging is a rapidly developing field based on the unfocused transmission of plane or diverging ultrasound waves. This recent approach to ultrasound imaging leads to a large increase in raw ultrasound data available per acquisition. Bigger synchronous ultrasound imaging datasets can be exploited in order to strongly improve the discrimination between tissue and blood motion in the field of Doppler imaging. Here we propose a spatiotemporal singular value decomposition clutter rejection of ultrasonic data acquired at ultrafast frame rate. The singular value decomposition (SVD) takes benefits of the different features of tissue and blood motion in terms of spatiotemporal coherence and strongly outperforms conventional clutter rejection filters based on high pass temporal filtering. Whereas classical clutter filters operate on the temporal dimension only, SVD clutter filtering provides up to a four-dimensional approach (3D in space and 1D in time). We demonstrate the performance of SVD clutter filtering with a flow phantom study that showed an increased performance compared to other classical filters (better contrast to noise ratio with tissue motion between 1 and 10mm/s and axial blood flow as low as 2.6 mm/s). SVD clutter filtering revealed previously undetected blood flows such as microvascular networks or blood flows corrupted by significant tissue or probe motion artifacts. We report in vivo applications including small animal fUltrasound brain imaging (blood flow detection limit of 0.5 mm/s) and several clinical imaging cases, such as neonate brain imaging, liver or kidney Doppler imaging.