一种基于后相位旋转的智能手机无线超声成像动态接收波束形成新架构

Minsuk Park, Jeeun Kang, Gunho Lee, Min Kim, T. Song
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引用次数: 1

摘要

最近,一种使用智能设备的便携式美国成像系统被强调,以提高诊断的便携性。特别是,系统组合可以利用集成在智能设备中的先进无线通信技术,如WiFi、蓝牙等,增强整个美国诊断过程中的用户体验。提出了一种有效的基于后相位旋转的动态接收波束形成(PRBF-POST)方法,用于集成美国探测系统和商用智能设备的无线美国成像设备。传统的PRBF (PRBF- con)方法的帧率随着信道数的增加而受到同相和正交信号分量分岔处理路径计算量大的困扰。另外,所提出的PRBF-POST方法在智能设备上,在相位旋转和求和之前,首先沿着相位量化水平相同的信道聚合基带IQ数据,从而保持帧率,而不受信道数的影响。为了评价所提出的PRBF-POST方法的性能,比较了PRBF-CON和PRBF-POST方法的点扩散函数。同时,对每种PRBF方法的帧率进行20次测量,计算平均帧率及其标准差。结果表明,在Field-II仿真中,PRBFCON和PRBF-POST方法的波束形成性能基本一致(相关系数= 1),且PRBF-POST方法在不同信道数下帧率保持一致(16、64和128信道时帧率分别为44.25、44.32和44.35 fps),而PRBF-CON方法随着信道数的增加帧率下降(分别为39.73、13.19和3.8 fps)。这些结果表明,所提出的PRBF-POST方法比PRBF-CON方法更有利于实现无线US成像系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new post-phase rotation based dynamic receive beamforming architecture for smartphone-based wireless ultrasound imaging
Recently, a portable US imaging system using smart devices is highlighted for enhancing the portability of diagnosis. Especially, the system combination can enhance the user experience during whole US diagnostic procedures by employing the advanced wireless communication technology integrated in a smart device, e.g., WiFi, Bluetooth, etc. In this paper, an effective post-phase rotation-based dynamic receive beamforming (PRBF-POST) method is presented for wireless US imaging device integrating US probe system and commercial smart device. In conventional, the frame rate of conventional PRBF (PRBF-CON) method suffers from the large amount of calculations for the bifurcated processing paths of in-phase and quadrature signal components as the number of channel increase. Otherwise, the proposed PRBF-POST method can preserve the frame rate regardless of the number of channels by firstly aggregating the baseband IQ data along the channels whose phase quantization levels are identical ahead of phase rotation and summation procedures on a smart device. To evaluate the performance of the proposed PRBF-POST method, the pointspread functions of PRBF-CON and PRBF-POST methods were compared each other. Also, the frame rate of each PRBF method was measured 20-times to calculate the average frame rate and its standard deviation. As a result, the PRBFCON and PRBF-POST methods indicates identical beamforming performance in the Field-II simulation (correlation coefficient = 1). Also, the proposed PRBF-POST method indicates the consistent frame rate for varying number of channels (i.e., 44.25, 44.32, and 44.35 fps for 16, 64, and 128 channels, respectively), while the PRBF-CON method shows the decrease of frame rate as the number of channel increase (39.73, 13.19, and 3.8 fps). These results indicate that the proposed PRBF-POST method can be more advantageous for implementing the wireless US imaging system than the PRBF-CON method.
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