标题： 带子孔径角度乘积求和的增强声束形成——在体和人体演示 显示英文标题

标题： Enhanced Acoustic Beamforming with Sub-Aperture Angular Multiply and Sum -- in vivo and in Human Demonstration

摘要： 功率多普勒超声在临床上广泛用于非侵入性血管成像，但目前最常用的方法——延迟和求和（DAS）波束成形——存在分辨率有限和旁瓣高的问题。 在这里，我们提出了子孔径角度相乘和（SAMAS）算法；它结合了两种最近的非线性波束成形器的优点，即帧相乘和（FMAS），该方法利用信号的时间相干性，以及声学子孔径（ASAP）算法，该方法利用信号的空间相干性。 在体外实验优化该算法后，特别是相位信息和子孔径配对的使用，它在体内进行了评估，首先在兔肾中，然后在人体淋巴结中，使用通过静脉对比剂获得的超快超声图像。 SAMAS算法在所有测试中都提高了信噪比（CNR）和信噪比（SNR），平均在体内使CNR提高了11 dB，SNR提高了18 dB，超过了DAS。 这项工作展示了一种有前景的血管成像方法，可能具有广泛的临床应用价值。 显示英文摘要

摘要： Power Doppler ultrasound is in widespread clinical use for non-invasive vascular imaging but the most common current method - Delay and Sum (DAS) beamforming - suffers from limited resolution and high side-lobes. Here we propose the Sub-Aperture Angular Multiply and Sum (SAMAS) algorithm; it combines the advantages of two recent non-linear beamformers, Frame Multiply and Sum (FMAS) which uses signal temporal coherence and the acoustic sub-aperture (ASAP) algorithm, which uses signal spatial coherence, respectively. Following in vitro experiments to optimise the algorithm, particularly the use of phase information and sub-aperture pairing, it was evaluated in vivo, first in a rabbit kidney and then in human lymph node, using ultrafast ultrasound images obtained with intravenous contrast agents. The SAMAS algorithm improved the CNR and SNR across all tests, on average raising the CNR by 11 dB and the SNR by 18 dB over DAS in vivo. This work demonstrates a promising vascular imaging method that could have widespread clinical utility.