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Improved selection of optimal acoustic output power for subharmonic aided pressure estimation of portal hypertension

机译:门脉高压亚谐波辅助压力估计的最佳声输出功率的改进选择

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Subharmonic aided pressure estimation (SHAPE) is based on the inverse relationship between the subharmonic amplitude of contrast microbubbles and the ambient pressure. A noninvasive ultrasound based pressure estimation procedure would be a major development in the diagnosis of portal hypertension and less invasive than the current hepatic venous pressure gradient (HVPG) measurement. The hypothesis of this study was that portal vein pressures could be monitored and quantified noninvasively in humans using SHAPE. For maximum SHAPE sensitivity, the optimum acoustic power is currently selected using an algorithm, which collects subharmonic data at power levels increasing from 0 % to 100 % in 8 cine clips. The ROI is selected on a common Maximum Intensity Projection (MIP) for all these 8 clips, data is plotted against the power levels and the point of maximum inflection gives the optimum power. However, this algorithm is prone to motion due to breathing and can greatly affect the results, hence was improved to minimize the error.
机译:子发声辅助压力估计(形状)基于对比度微泡的次谐幅度与环境压力之间的逆关系。非侵入性超声的压力估计程序将是门静脉高压诊断和侵入性的主要发展,而不是目前的肝静脉压梯度(HVPG)测量。该研究的假设是使用形状的人类可以在人体中进行监测和量化门静脉压力。为了最大的形状灵敏度,当前使用算法选择最佳声电源,该算法在8个Cine剪辑中从0 \%到100 \%的功率水平收集次谐波数据。对于所有这8个剪辑,在共同的最大强度投影(MIP)上选择ROI,绘制数据符合功率水平,并且最大拐点的点提供最佳功率。然而,这种算法由于呼吸而易于运动,并且可以大大影响结果,因此得到改善以最小化误差。

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