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Microembolic signal description: a reappraisal based on a customized digital postprocessing system.

机译:微栓塞信号描述:基于定制的数字后处理系统的重新评估。

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摘要

The high variability in presence and signature of microembolic signals (MES), detected with transcranial Doppler sonography (TCD) in the middle cerebral artery (MCA), cannot be explained with the currently available published data. We applied customized postprocessing on the radiofrequency (RF) signal of a standard TCD system. The spatial resolution was on the order of 2 mm, depending only on the length of the ultrasound (US) burst emitted. The amplitude of clutter-filtered RF signals was color-coded and plotted as a function of time and depth (range 30 mm). Additionally, 128 point fast Fourier transforms (FFTs) (50% temporal overlap) were calculated, visualizing both the background Doppler spectrum and the MES. We evaluated 122 gaseous MES from two patients during cardiac surgery and 52 particulate MES from four patients after carotid endarterectomy. Both MES categories showed comparable properties: they appeared in the RF amplitude plot as rather straight lines of increased intensity, indicating that the velocity remained approximately the same while they passed the US beam. The velocity calculated from the amplitude plot never exceeded that of the background Doppler spectrum. Various "MES patterns" could be identified with respect to the depth range at which the MES were visible. A quarter of the gaseous MES changed their direction at a specific depth, suggesting that the MES entered a branch (e.g., an M2 artery or the anterior cerebral artery). In the FFT analysis, these MES contained both positive and negative frequencies. It is concluded that MES show consistent signature patterns in the amplitude-time plots and that the previously reported variability of MES appearance in conventional Doppler systems is an artefact caused by relatively large signal amplitudes and sample volumes. (E-mail: Max@fknf.azm.nl)
机译:通过大脑中动脉(MCA)经颅多普勒超声(TCD)检测到的微栓塞信号(MES)的存在和签名的高度可变性,无法用当前可获得的公开数据来解释。我们对标准TCD系统的射频(RF)信号进行了定制的后处理。空间分辨率约为2毫米,仅取决于发射的超声(US)脉冲的长度。对经过杂波滤波的RF信号的幅度进行颜色编码,并将其绘制为时间和深度(范围为30 mm)的函数。此外,还计算了128点快速傅立叶变换(FFT)(50%的时间重叠),同时显示了背景多普勒频谱和MES。我们评估了心脏手术期间两名患者的122种气体MES和颈动脉内膜切除术后4名患者的52种颗粒MES。两种MES类别都具有可比较的特性:它们在RF振幅图中以强度增加的直线出现,表明通过美国光束时速度保持大致相同。根据幅度图计算出的速度永远不会超过背景多普勒频谱的速度。关于MES可见的深度范围,可以识别出各种“ MES模式”。 1/4的气态MES在特定深度处改变了方向,表明MES进入了分支(例如M2动脉或大脑前动脉)。在FFT分析中,这些MES包含正和负频率。可以得出结论,MES在幅度-时间图中显示出一致的签名模式,并且先前报道的传统多普勒系统中MES外观的变化是由相对较大的信号幅度和样本量引起的伪像。 (电子邮件:Max@fknf.azm.nl)

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