Jeng Geng-Shi, Li Pai-Chi
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
IEEE Trans Ultrason Ferroelectr Freq Control. 2006 May;53(5):947-58. doi: 10.1109/tuffc.2006.1632685.
The swept-scan technique (i.e., continuously moving a single-crystal transducer during pulse-echo data acquisition) is used in high-frequency, ultrasonic flow imaging. Relative to the conventional step-scan technique, swept scanning improves the rate of data acquisition and enables near-real-time, high-frequency color flow mapping. However, the continuous transducer movement may have non-negligible effects on accuracy of velocity estimation. This paper introduces a spatial frequency domain (i.e., k-space) approach that quantifies the effects of both lateral and axial motions in a swept scan. It is shown that the k-space representation is equivalent to a Doppler-radio frequency (RF) frequency domain representation, and that transducer movement in the swept-scan technique results in a change in Doppler bandwidth. In addition, a vector velocity estimator is developed based on the proposed k-space approach. Both simulations and flow-phantom experiments were performed to evaluate the performance of the proposed vector velocity estimator. A 45-MHz transducer was scanned at 20 mm/s. The Doppler angle ranged from 29 degrees to 90 degrees, and the flow velocities ranged from 15 to 30 mm/s. The results show that the proposed k-space vector velocity estimator exhibited a mean error of 2.6 degrees for flow-direction estimation, with the standard deviation ranging from 2.2 degrees to 8.2 degrees. In comparison, for the conventional spectral-broadening-based vector velocity estimator ignoring the swept-scan effect, the mean error became 15 degrees and the standard deviations were from 2.7 degrees to 6.6 degrees.
扫查技术(即在脉冲回波数据采集过程中连续移动单晶换能器)用于高频超声血流成像。相对于传统的步进扫描技术,扫查提高了数据采集速率,并能实现近实时的高频彩色血流图绘制。然而,换能器的连续移动可能对速度估计的准确性产生不可忽视的影响。本文介绍了一种空间频域(即k空间)方法,该方法可量化扫查中横向和轴向运动的影响。结果表明,k空间表示等同于多普勒射频(RF)频域表示,并且扫查技术中的换能器运动导致多普勒带宽发生变化。此外,基于所提出的k空间方法开发了一种矢量速度估计器。进行了模拟和血流模型实验以评估所提出的矢量速度估计器的性能。使用一个45MHz的换能器以20mm/s的速度进行扫描。多普勒角度范围为29度至90度,血流速度范围为15至30mm/s。结果表明,所提出的k空间矢量速度估计器在血流方向估计方面的平均误差为2.6度,标准差范围为2.2度至8.2度。相比之下,对于忽略扫查效应的传统基于频谱展宽的矢量速度估计器,平均误差变为15度,标准差为2.7度至6.6度。