Statistical model of clutter suppression in tissue harmonic imaging.
Statistical model of clutter suppression in tissue harmonic imaging.
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DOI：
10.1121/1.3504712
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
Xiang Yan;M. Hamilton
中科院分区：
文献类型：
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作者：
Xiang Yan;M. Hamilton
建立了组织谐波成像中杂波抑制的统计模型。组织异质性被建模为随机相位屏幕，其特征在于其相关长度和方差。与自相关函数采取是高斯和小方差，统计的解决方案，推导出的平均强度的基本和二次谐波频率在一个聚焦的声束传播通过相位屏幕的字段。通过与直接数值模拟的系综平均比较，验证了统计解。该模型表明，THI减少了出现在焦点区域的像差杂波，而不管像差层的深度，杂波的抑制最有效的层接近源时。该模型也适用于混响杂波，是向前传输的沿着轴的波束。与像差杂波一样，当组织异质性位于靠近源时，THI对这种混响杂波的抑制最明显。
A statistical model is developed for the suppression of clutter in tissue harmonic imaging (THI). Tissue heterogeneity is modeled as a random phase screen that is characterized by its correlation length and variance. With the autocorrelation function taken to be Gaussian and for small variance, statistical solutions are derived for the mean intensities at the fundamental and second-harmonic frequencies in the field of a focused sound beam that propagates through the phase screen. The statistical solutions are verified by comparison with ensemble averaging of direct numerical simulations. The model demonstrates that THI reduces the aberration clutter appearing in the focal region regardless of the depth of the aberrating layer, with suppression of the clutter most effective when the layer is close to the source. The model is also applied to the reverberation clutter that is transmitted forward along the axis of the beam. As with aberration clutter, suppression of such reverberation clutter by THI is most pronounced when the tissue heterogeneity is located close to the source.