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An automatic procedure for the extraction of parametric images of the myocardium from integrated ultrasonic backscatter signals

机译:从集成的超声反向散射信号中提取心肌参数图像的自动程序

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An automatic procedure for the extraction of quantitative parameters which characterize the Cyclic Variation (CV) of ultrasonic Integrated Backscatter Signal (IBS) within the cardiac cycle is proposed. After image realignment, the following CV parameters are quantified for each pixel, by harmonic analysis of the corresponding pixel intensify along the cardiac cycle: the modulus of the first (A0) and the second (A1) Fourier coefficient and their ratio (A1/A0), the phase (P1) of the first harmonic component. Parametric images are then computed. A population of 12 subjects was considered; automatic measures of CV parameters extracted from 6 regions of interest (11/spl times/11 pixel size) for each examined view were compared to the manual ones, obtained by classic acoustic densitometry analysis. The good linear correlation (r, A0:0.98; A1:0.99; A1/A0:0.98; P1:=0.97) verify the reliability of the proposed automatic approach.
机译:提出了一种定量参数的自动提取方法,该方法表征了心动周期内超声积分背向散射信号(IBS)的循环变化(CV)。图像重新对齐后,通过沿心动周期对相应像素进行谐波分析,对每个像素量化以下CV参数:第一(A0)和第二(A1)傅立叶系数的模数及其比率(A1 / A0 ),即一次谐波分量的相位(P1)。然后计算参数图像。考虑了12位受试者的人数;从每个检查视图的6个感兴趣区域(11 / spl次/ 11像素大小)提取的CV参数的自动测量值与通过经典声学密度分析获得的手动测量值进行了比较。良好的线性相关性(r,A0:0.98; A1:0.99; A1 / A0:0.98; P1:= 0.97)证明了所提出的自动方法的可靠性。

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