Chen Xunchang, Zohdy Marwa J, Emelianov Stanislav Y, O'Donell Matthew
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA.
IEEE Trans Ultrason Ferroelectr Freq Control. 2004 May;51(5):540-50.
In traditional speckle tracking, lateral displacement (perpendicular to the beam direction) estimates are much less accurate than axial ones (along the beam direction). The accuracy of lateral tracking is very important whenever spatial derivatives of both axial and lateral displacements are required to give a full description of a two-dimensional (2-D) strain field. A number of methods have been proposed to improve lateral tracking by increasing the sampling rate in the lateral direction. We propose an alternate method using synthetic lateral phase (SLP). The algorithm, a direct analog of the phase zero-crossing approach used in axial displacement estimation, synthesizes the lateral phase first, then performs a zero-crossing detection on this synthetic phase to obtain lateral displacement estimates. The SLP is available by simply eliminating either the positive or negative half of the lateral spectrum of the original analytic signal. No new data need to be acquired for this procedure. This new algorithm was tested on both simulations and measurements from a cardiac phantom model. Results show that the method greatly improves the accuracy of lateral tracking, especially for low strain cases (< or =1%). The standard deviation of the estimation error of the lateral normal strain obtained with this approach has an approximate factor of 2-3 improvement for low strain cases. The conceptual and computational simplicity of this new method makes it a practical approach to improve lateral tracking for elasticity imaging.
在传统的散斑追踪中,横向位移(垂直于波束方向)的估计精度远低于轴向位移(沿波束方向)的估计精度。当需要轴向和横向位移的空间导数来完整描述二维(2-D)应变场时,横向追踪的精度非常重要。已经提出了许多方法来通过提高横向方向的采样率来改善横向追踪。我们提出了一种使用合成横向相位(SLP)的替代方法。该算法是轴向位移估计中使用的相位零交叉方法的直接模拟,首先合成横向相位,然后对该合成相位进行零交叉检测以获得横向位移估计。通过简单地消除原始解析信号横向频谱的正半部分或负半部分即可获得SLP。此过程无需获取新数据。该新算法在心脏模型的模拟和测量中均进行了测试。结果表明,该方法大大提高了横向追踪的精度,尤其是对于低应变情况(≤1%)。对于低应变情况,用这种方法获得的横向法向应变估计误差的标准偏差有大约2至3倍的改善。这种新方法在概念和计算上的简单性使其成为改善弹性成像横向追踪的实用方法。