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On the implementation of an automated acoustic output optimization algorithm for subharmonic aided pressure estimation

机译:关于次谐波辅助压力估计自动声输出优化算法的实现

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摘要

Incident acoustic output (IAO) dependent subharmonic signal amplitudes from ultrasound contrast agents can be categorized into occurrence, growth or saturation stages. Subharmonic aided pressure estimation (SHAPE) is a technique that utilizes growth stage subharmonic signal amplitudes for hydrostatic pressure estimation. In this study, we developed an automated IAO optimization algorithm to identify the IAO level eliciting growth stage subharmonic signals and also studied the effect of pulse length on SHAPE. This approach may help eliminate the problems of acquiring and analyzing the data offline at all IAO levels as was done in previous studies and thus, pave the way for real-time clinical pressure monitoring applications. The IAO optimization algorithm was implemented on a Logiq 9 (GE Healthcare, Milwaukee, WI) scanner interfaced with a computer. The optimization algorithm stepped the ultrasound scanner from 0 to 100 % IAO. A logistic equation fitting function was applied with the criterion of minimum least squared error between the fitted subharmonic amplitudes and the measured subharmonic amplitudes as a function of the IAO levels and the optimum IAO level was chosen corresponding to the inflection point calculated from the fitted data. The efficacy of the optimum IAO level was investigated for in vivo SHAPE to monitor portal vein (PV) pressures in 5 canines and was compared with the performance of IAO levels, below and above the optimum IAO level, for 4, 8 and 16 transmit cycles. The canines received a continuous infusion of Sonazoid microbubbles (1.5 μl/kg/min; GE Healthcare, Oslo, Norway). PV pressures were obtained using a surgically introduced pressure catheter (Millar Instruments, Inc., Houston, TX) and were recorded before and after increasing PV pressures. The experiments showed that optimum IAO levels for SHAPE in the canines ranged from 6 to 40 %. The best correlation between changes in PV pressures and in subharmonic amplitudes (r = -0.76; p = 0.24), and between the absolute PV pressures and the subharmonic amplitudes (r = -0.89; p < 0.01) were obtained for the optimized IAO and 4 transmit cycles. Only for the optimized IAO and 4 transmit cycles did the subharmonic amplitudes differ significantly (p < 0.01) before and after increasing PV pressures. A new algorithm to identify optimum IAO levels for SHAPE has been developed and validated with the best results being obtained for 4 transmit cycles. The work presented in this study may pave the way for real-time clinical applications of estimating pressures using the subharmonic signals from ultrasound contrast agents.
机译:可以将来自超声造影剂的取决于事件声输出(IAO)的亚谐波信号幅度归类为发生,生长或饱和阶段。次谐波辅助压力估算(SHAPE)是一种利用生长期次谐波信号幅度进行静水压力估算的技术。在这项研究中,我们开发了一种自动的IAO优化算法,以识别引起生长阶段亚谐波信号的IAO水平,并研究了脉冲长度对SHAPE的影响。这种方法可以帮助消除像以前的研究一样在所有IAO级别上脱机获取和分析数据的问题,从而为实时临床压力监测应用铺平了道路。 IAO优化算法是在与计算机连接的Logiq 9(GE Healthcare,Milwaukee,WI)扫描仪上实现的。优化算法将超声扫描仪的IAO从0步进到100%。应用逻辑对数拟合函数,并以拟合的次谐波幅度和测得的次谐波幅度之间的最小最小平方误差为标准,作为IAO水平的函数,并根据从拟合数据计算出的拐点选择最佳IAO水平。研究了最佳IAO水平对于体内SHAPE监测5个犬的门静脉(PV)压力的功效,并与4个,8个和16个发射周期下低于和高于最佳IAO水平的IAO水平的性能进行了比较。犬不断地注射了Sonazoid微泡(1.5μl/ kg / min;挪威奥斯陆的GE Healthcare)。使用手术引入的压力导管(Millar Instruments,Inc。,休斯敦,德克萨斯州)获得PV压力,并在增加PV压力之前和之后记录PV压力。实验表明,犬中SHAPE的最佳IAO水平为6%至40%。对于优化的IAO和I / O,获得了PV压力变化和亚谐波幅度之间的最佳相关性(r = -0.76; p = 0.24),以及绝对PV压力和亚谐波幅度之间的最佳相关性(r = -0.89; p <0.01)。 4个发送周期。仅对于优化的IAO和4个发射周期,在增加PV压力之前和之后,亚谐波振幅均存在显着差异(p <0.01)。已经开发并验证了一种新的算法,该算法可识别SHAPE的最佳IAO级别,并通过4个发射周期获得了最佳结果。本研究中提出的工作可能为使用超声造影剂的亚谐波信号估算压力的实时临床应用铺平道路。

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