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浅表动脉扩张性的评估。

Assessment of the distensibility of superficial arteries.

作者信息

Hoeks A P, Brands P J, Smeets F A, Reneman R S

机构信息

Department of Biophysics, Cardiovascular Research Institute Maastricht, University of Limburg, The Netherlands.

出版信息

Ultrasound Med Biol. 1990;16(2):121-8. doi: 10.1016/0301-5629(90)90139-4.

Abstract

Doppler signal processing cannot only be employed to detect the local blood velocity as function of time, but also to assess transcutaneously the displacement of the arterial walls during the cardiac cycle (distension waveform) and, hence, the time-dependent changes in arterial diameter relative to its initial diameter at the start of a cardiac cycle. The distension waveform normalized with respect to the local pulse pressure provides useful information about the local elasticity of the arterial wall. The displacement of the arterial wall can be obtained by processing the RF-signals within a sample volume coinciding with the arterial wall. To evaluate this method a dedicated high-speed memory system has been developed storing the RF-signal, as obtained with a conventional echo-imager in M-mode, over a number of successive sweeps covering a selected depth range. The data are transferred line after line to a personal computer (PC) and processed on the fly, thereby relieving the memory requirements of the PC. It can be concluded that a RF-signal memory in combination with a PC provides a useful tool to extract detailed diameter waveforms from the RF-signals obtained. Although the system does not process the signals in real-time the process can be considered to be on-line since the results become available within one minute after the acquisition of the data is completed.

摘要

多普勒信号处理不仅可用于检测局部血流速度随时间的变化,还可用于经皮评估心动周期中动脉壁的位移(扩张波形),从而评估动脉直径相对于心动周期开始时初始直径的时间依赖性变化。相对于局部脉压进行归一化处理的扩张波形可提供有关动脉壁局部弹性的有用信息。动脉壁的位移可通过处理与动脉壁重合的采样体积内的射频信号来获得。为了评估该方法,已开发出一种专用的高速存储系统,该系统可存储通过传统M型回波成像仪在选定深度范围内的多个连续扫描中获得的射频信号。数据逐行传输到个人计算机(PC)并即时处理,从而减轻了PC的内存需求。可以得出结论,射频信号存储器与PC相结合,为从获得的射频信号中提取详细的直径波形提供了有用的工具。尽管该系统不进行实时信号处理,但由于在数据采集完成后一分钟内即可获得结果,因此该过程可被视为在线过程。

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