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Envelope Approximation on Doppler Ultrasound Spectrogram for Estimating Flow Speed in Carotid Artery

机译:多普勒超声频谱图的包络近似估计颈动脉流速

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The development of Doppler ultrasound allows us to convert the distribution of reflective ultrasound energy into colored blood flow imaging. The Doppler spectrogram also reveals the change of flow velocity over time when specifying an observation window inside the vessel wall. With the information doctors can visually search for abnormalities in blood vessels or valves from irregular patterns in the Doppler spectrogram within several cardiac cycles. Currently there are very few automatic analysis that can be applied to either color flow imaging or Doppler spectrogram. We hypothesize that the dynamics of flow speed in carotid could be an indicator to abnormalities on vascular wall like arteriosclerosis and stenosis. In this work the time-varying Doppler spectrogram during a carotid ultrasound exam was recorded as a video clip, and the image series were concatenated as a long spectrogram waveform image. To assess the carotid stiffness with previously developed nonlinear analysis and measures, the waveform image was further converted to 1-D signal by several proposed methods. Among them we found one that generated the most reasonable and less noisy curve, and expressed the dynamics of flow speed with minimal distortion.
机译:多普勒超声的发展使我们能够将反射超声能量的分布转换为彩色血流成像。当指定血管壁内的观察窗时,多普勒频谱图还揭示了流速随时间的变化。利用这些信息,医生可以在几个心动周期内从多普勒频谱图中不规则的图形直观地搜索血管或瓣膜的异常。当前,很少有可用于色流成像或多普勒频谱图的自动分析。我们假设颈动脉流速的动态变化可能是血管壁异常的指标,如动脉硬化和狭窄。在这项工作中,将颈动脉超声检查期间随时间变化的多普勒频谱图记录为视频剪辑,并将图像系列连接为长频谱图波形图像。为了通过先前开发的非线性分析和措施评估颈动脉僵硬度,通过几种建议的方法将波形图像进一步转换为一维信号。其中,我们发现了一条生成最合理且噪声较小的曲线,并以最小的失真表示了流速的动态变化。

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