EXPERIMENTAL EVALUATION OF VELOCITY AND POWER ESTIMATION FOR ULTRASOUND BLOOD-FLOW IMAGING, BY MEANS OF A 2-DIMENSIONAL AUTOCORRELATION APPROACH
EXPERIMENTAL EVALUATION OF VELOCITY AND POWER ESTIMATION FOR ULTRASOUND BLOOD-FLOW IMAGING, BY MEANS OF A 2-DIMENSIONAL AUTOCORRELATION APPROACH
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DOI：
10.1109/58.393111
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发表时间：
1995-07-01
影响因子：
3.6
通讯作者：
GILL, RW
中科院分区：
文献类型：
--
作者：
LOUPAS, T;PETERSON, RB;GILL, RW
本文通过实验评估了一种新的轴向速度估计器的性能，该估计器最初在[4]中引入并被称为2D自相关器，以及其多普勒功率估计对应物，2D零滞后自相关器，在超声彩色行映射的背景下，评估还包括成熟的一维自相关技术的速度估计和相应的功率估计（1D零滞后自相关器），以允许在相同条件下进行性能比较。来自稳流系统的杂波抑制体外数据集用于记录距离门和系综长度、噪声水平和声入射角对速度估计精度的影响。相同的数据集用于检查与多普勒信号功率的估计有关的问题，从对应于流动和噪声的区域的功率估计的一阶统计量被实验确定，并且功率估计的能力被实验确定。通过ROC分析来表征将流动信号与噪声分离的基于阈值的处理。总之，体外评估的结果表明，所提出的2D自相关形式的处理在速度和功率估计方面始终优于相应的1D自相关技术，因此，考虑到它们相对适度的实现要求，用于速度和功率估计的2D自相关算法似乎代表了用于彩色血流映射的常规多普勒处理的上级但现实的替代方案。
This paper evaluates experimentally the performance of a novel axial velocity estimator, originally introduced in [4] and referred to as the 2D autocorrelator, and its Doppler power estimation counterpart, the 2D zero-lag autocorrelator, in the context of ultrasound color Row mapping, The evaluation also encompasses the well-established 1D autocorrelation technique for velocity estimation and its corresponding power estimator (1D zero-lag autocorrelator), to allow performance comparisons under identical conditions. Clutter-suppressed in vitro data sets from a steady-flow system are used to document the effect of the range gate and ensemble length, noise level and angle of insonation on the precision of the velocity estimates, The same data sets are used to examine issues related to the estimation of the Doppler signal's power, The first-order statistics of power estimates from regions corresponding to flow and noise are determined experimentally and the ability of power-based thresholding to separate flow signals from noise is characterized by means of ROC analysis, In summary, the results of the in vitro evaluation show that the proposed 2D-autocorrelatlon form of processing is consistently better than the corresponding 1D-autocorrelation techniques, in terms of both velocity and power estimation, Therefore, given their relatively modest implementation requirements, the 2D autocorrelation algorithms for velocity and power estimation appear to represent a superior, yet realistic, alternative to conventional Doppler processing for color flow mapping.