Nonparametric estimation of ultrasound pulses
Nonparametric estimation of ultrasound pulses
复制标题
超声脉冲的非参数估计
DOI：
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复制
发表时间：
1994
影响因子：
4.6
通讯作者：
S. Leeman
中科院分区：
文献类型：
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作者：
J. Jensen;S. Leeman
提出了一种人体组织回波序列中一维超声脉冲的非参数估计算法。该技术是利用实倒谱的同态滤波技术的一种变体，并解释了该方法的基本原理。该算法利用了关于射频线回波数据结构的先验知识，并且可以使用来自图像的多个相邻射频线。该算法的主要应用是产生适合反卷积算法的脉冲。这将使这些算法能够适当地考虑衰减的频率依赖性及其在患者内部和患者之间的变化。也可以使用估计的脉冲进行衰减估计，并且所提出技术的假设的一致性可以通过其从体内脉冲回波数据中恢复正常肝脏中低方差衰减估计的能力来证明。给出了8例不同患者的估计值。<<ETX>>
An algorithm for nonparametric estimation of 1D ultrasound pulses in echo sequences from human tissues is derived. The technique is a variation of the homomorphic filtering technique using the real cepstrum, and the underlying basis of the method is explained. The algorithm exploits a priori knowledge about the structure of RF line echo data and can employ a number of adjacent RF lines from an image. The prime application of the algorithm is to yield a pulse suitable for deconvolution algorithms. This will enable these algorithms to properly take into account the frequency dependence of the attenuation and its variation within a patient and among patients. It is also possible to use the estimated pulse for attenuation estimation, and the consistency of the assumptions underlying the proposed technique is demonstrated by its ability to recover low variance attenuation estimates in the normal liver from in vivo pulse-echo data. Estimates are given for 8 different patients.<<ETX>>