A novel interpolation strategy for estimating subsample speckle motion
A novel interpolation strategy for estimating subsample speckle motion
复制标题
DOI：
10.1088/0031-9155/45/6/310
复制
发表时间：
2000-06-01
影响因子：
3.5
通讯作者：
Trahey, GE
中科院分区：
文献类型：
--
作者：
Geiman, BJ;Bohs, LN;Trahey, GE
快速运动组织的多维、高分辨率超声成像主要受到横向稀疏采样的限制。为了获得可接受的空间分辨率和速度量化，需要对横向采样数据进行内插。我们提出了一种新的估计横向亚样本散斑运动的方法，并与传统的内插方法进行了比较。这种方法称为网格斜率法，不需要先验知识，只需两个样本就可以得到横向数据。计算机模拟比较了网格斜率与两种传统的插值法，抛物线拟合法和三次样条线插值法。计算机模拟结果表明，抛物线拟合法和三次样条法在平移大于0.5个样本时表现不佳，而平移小于0.5个样本时会受到估计偏差的影响。在高信噪比下，网格斜率准确地估计了0和1样本之间的平移，没有估计偏差。考虑到网格斜率内插技术在高信噪比下表现良好，一个相关的临床应用可能是组织运动跟踪。
Multidimensional, high-resolution ultrasonic imaging of rapidly moving tissue is primarily limited by sparse sampling in the lateral dimension. In order to achieve acceptable spatial resolution and velocity quantization, interpolation of laterally sampled data is necessary. We present a novel method for estimating lateral subsample speckle motion and compare it with traditional interpolation methods. This method, called grid slopes, requires no a priori knowledge and can be applied to data with as few as two samples in the lateral dimension. Computer simulations were performed to compare grid slopes with two conventional interpolation schemes, parabolic fit and cubic spline. Results of computer simulations show that parabolic fit and cubic spline performed poorly at translations greater than 0.5 samples, and translations less than 0.5 samples were subject to an estimation bias. Grid slopes accurately estimated translations between 0 and 1 samples without estimation bias at high signal-to-noise ratios. Given that the grid slopes interpolation technique performs well at high signal-to-noise ratios, one pertinent clinical application might be tissue motion tracking.