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A posteriori accuracy estimation of ultrasonic vector-flow mapping (VFM)

机译:超声矢量流映射(VFM)的后验精度估计

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摘要

AbstractA novel method, called a posteriori “VFM accuracy estimation” (VAE), for resolving an intrinsic VFM problem is proposed. The problem is that VFM uncertainty can easily vary according to blood flows through an echocardiographic imaged plane (i.e., “through-plane” flows), and it is unknown. Knowing the VFM uncertainty for each patient will make it possible to refine the quality of VFM-based diagnosis. In the present study, VAE was derived on the basis of an error-propagation analysis and a statistical analysis. The accuracy of VAE with a pulsatile left-ventricle phantom was experimentally investigated for realistic cases with through-plane flows. VAE was validated by comparing VFM uncertainty (S.D.) estimated by VAE with VFM uncertainty measured by particle-image velocimetry (PIV) for different imaged planes. VAE accurately estimated the S.D. of VFM uncertainty measured by PIV for all cases with different image planes (R > 0.6 and p < 0.001). These findings on VFM accuracy will provide the basis for widespread clinical application of VFM-based diagnosis.
机译:摘要提出了一种解决固有VFM问题的新方法,称为后验“ VFM准确性估计”(VAE)。问题在于,VFM不确定性很容易随流经超声心动图成像平面的血流(即“贯通平面”流)而变化,这是未知的。了解每个患者的VFM不确定性将有可能改善基于VFM的诊断的质量。在本研究中,VAE是基于错误传播分析和统计分析得出的。实验研究了带有脉动左心室幻影的VAE的准确性,适用于具有直通面流动的实际情况。通过比较VAE估计的VFM不确定度(S.D.)和通过粒子图像测速仪(PIV)测量的不同成像平面的VFM不确定度来验证VAE。 VAE准确估算了S.D. PIV在所有具有不同像平面的情况下测量的VFM不确定度(R> 0.6和p <0.001)。这些关于VFM准确性的发现将为基于VFM的诊断的广泛临床应用提供基础。

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