Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time.
Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time.
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DOI：
10.1109/tuffc.2019.2916603
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发表时间：
2019-07
期刊：
影响因子：
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通讯作者：
Eckersley RJ
中科院分区：
文献类型：
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作者：
Christensen-Jeffries K;Brown J;Harput S;Zhang G;Zhu J;Tang MX;Dunsby C;Eckersley RJ
近年来发展了许多声学超分辨率技术，以可视化微血管结构和超过衍射极限的流动。使用单个微泡定位的所有超声（US）超分辨率（SR）方法的一个关键方面是单个气泡信号的时间有效检测。由于在采集期间需要气泡循环通过脉管系统，与微循环相关的缓慢流动限制了获得足够空间信息所需的最小采集时间。在这里，开发了一个模型来研究成像参数、气泡信号密度和血管流量对SR图像采集时间的综合影响。我们发现，估计SR所需的最短时间增加较慢的血液速度和更大的分辨率提高。为了将SR从λ/10的分辨率提高到λ/20，同时对此处建模的微血管结构进行成像，估计的最小采集时间增加了14倍。在每个图像中提供新的空间信息的最大有用成像帧速率由低血流时的气泡速度（对于5 cm的深度<150 mm/s）和较高气泡速度时的声波速度设定。此外，图像采集程序、发射频率、定位精度和期望的超分辨图像对比度一起确定了对于固定流速可实现的最佳采集时间。探索系统参数和目标脉管系统细节的影响可以更好地选择采集设置，并提高对SR信息完整性的理解。
A number of acoustic super-resolution techniques have recently been developed to visualize microvascular structure and flow beyond the diffraction limit. A crucial aspect of all ultrasound (US) super-resolution (SR) methods using single microbubble localization is time-efficient detection of individual bubble signals. Due to the need for bubbles to circulate through the vasculature during acquisition, slow flows associated with the microcirculation limit the minimum acquisition time needed to obtain adequate spatial information. Here, a model is developed to investigate the combined effects of imaging parameters, bubble signal density, and vascular flow on SR image acquisition time. We find that the estimated minimum time needed for SR increases for slower blood velocities and greater resolution improvement. To improve SR from a resolution of λ/10 to λ/20 while imaging the microvasculature structure modeled here, the estimated minimum acquisition time increases by a factor of 14. The maximum useful imaging frame rate to provide new spatial information in each image is set by the bubble velocity at low blood flows (<150 mm/s for a depth of 5 cm) and by the acoustic wave velocity at higher bubble velocities. Furthermore, the image acquisition procedure, transmit frequency, localization precision, and desired super-resolved image contrast together determine the optimal acquisition time achievable for fixed flow velocity. Exploring the effects of both system parameters and details of the target vasculature can allow a better choice of acquisition settings and provide improved understanding of the completeness of SR information.