Center for Fast Ultrasound Imaging, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
IEEE Trans Ultrason Ferroelectr Freq Control. 2012 Dec;59(12):2662-75. doi: 10.1109/TUFFC.2012.2507.
A method for estimating the 2-D vector velocity of blood using a phased-array transducer is presented. The approach is based on the transverse oscillation (TO) method. The purposes of this work are to expand the TO method to a phased-array geometry and to broaden the potential clinical applicability of the method. A phased-array transducer has a smaller footprint and a larger field of view than a linear array, and is therefore more suited for, e.g., cardiac imaging. The method relies on suitable TO fields, and a beamforming strategy employing diverging TO beams is proposed. The implementation of the TO method using a phased-array transducer for vector velocity estimation is evaluated through simulation and flow-rig measurements are acquired using an experimental scanner. The vast number of calculations needed to perform flow simulations makes the optimization of the TO fields a cumbersome process. Therefore, three performance metrics are proposed. They are calculated based on the complex TO spectrum of the combined TO fields. It is hypothesized that the performance metrics are related to the performance of the velocity estimates. The simulations show that the squared correlation values range from 0.79 to 0.92, indicating a correlation between the performance metrics of the TO spectrum and the velocity estimates. Because these performance metrics are much more readily computed, the TO fields can be optimized faster for improved velocity estimation of both simulations and measurements. For simulations of a parabolic flow at a depth of 10 cm, a relative (to the peak velocity) bias and standard deviation of 4% and 8%, respectively, are obtained. Overall, the simulations show that the TO method implemented on a phased-array transducer is robust with relative standard deviations around 10% in most cases. The flow-rig measurements show similar results. At a depth of 9.5 cm using 32 emissions per estimate, the relative standard deviation is 9% and the relative bias is -9%. At the center of the vessel, the velocity magnitude is estimated to be 0.25 ± 0.023 m/s, compared with an expected peak velocity magnitude of 0.25 m/s, and the beam-to-flow angle is calculated to be 89.3° ± 0.77°, compared with an expected angle value between 89° and 90°. For steering angles up to ±20° degrees, the relative standard deviation is less than 20%. The results also show that a 64-element transducer implementation is feasible, but with a poorer performance compared with a 128-element transducer. The simulation and experimental results demonstrate that the TO method is suitable for use in conjunction with a phased-array transducer, and that 2-D vector velocity estimation is possible down to a depth of 15 cm.
提出了一种使用相控阵换能器估计二维血流矢量速度的方法。该方法基于横向振动(TO)方法。这项工作的目的是将 TO 方法扩展到相控阵几何形状,并拓宽该方法的潜在临床应用。相控阵换能器的足迹比线性阵列小,视场比线性阵列大,因此更适合心脏成像等。该方法依赖于合适的 TO 场,并提出了一种采用发散 TO 束的波束形成策略。通过模拟评估使用相控阵换能器进行矢量速度估计的 TO 方法的实现,并使用实验扫描仪获取流型测量。执行流动模拟所需的大量计算使得 TO 场的优化成为一个繁琐的过程。因此,提出了三个性能指标。它们是基于组合 TO 场的复 TO 谱计算得出的。假设这些性能指标与速度估计的性能相关。模拟表明,平方相关值范围为 0.79 到 0.92,表明 TO 谱的性能指标与速度估计之间存在相关性。由于这些性能指标更容易计算,因此可以更快地优化 TO 场,以提高模拟和测量的速度估计性能。对于深度为 10 厘米的抛物流模拟,得到的相对(相对于峰值速度)偏差和标准偏差分别为 4%和 8%。总的来说,模拟表明,在大多数情况下,在相控阵换能器上实现的 TO 方法具有稳健性,相对标准偏差约为 10%。流型测量结果相似。在使用 32 次发射进行一次估计的情况下,深度为 9.5 厘米时,相对标准偏差为 9%,相对偏差为-9%。在血管中心,速度幅度估计为 0.25 ± 0.023 m/s,而预期的峰值速度幅度为 0.25 m/s,波束与血流的角度计算为 89.3°±0.77°,而预期角度值在 89°和 90°之间。对于最大 ±20°的转向角度,相对标准偏差小于 20%。结果还表明,64 元换能器的实现是可行的,但与 128 元换能器相比性能较差。模拟和实验结果表明,TO 方法适用于与相控阵换能器结合使用,并且可以在深度为 15 厘米的情况下进行二维矢量速度估计。