Wang S-L, Li P-C
Department of Electrical Engineering, National Taiwan University, Taipei, People's Republic of China.
Proc Inst Mech Eng H. 2010;224(2):143-54. doi: 10.1243/09544119JEIM643.
This paper provides a review of advanced algorithms for ultrasound image formation and signal processing that are based on aperture-domain data (i.e. the data recorded by individual channels prior to beam summation). First aperture-domain data are defined and their properties described, then two specific examples of phase-aberration correction and vector velocity estimation are presented. For phase-aberration correction, sidelobe-reduction techniques based on the coherence of the received aperture-domain data were tested with clinical breast data; the mean improvements in the contrast and contrast-to-noise ratios were 6.9 dB and 23.2 per cent, respectively. For flow estimation, a conventional scanner can only estimate the flow velocity parallel to the beam axis. The proposed flow estimation technique uses aperture-domain data for two-dimensional flow-velocity estimation. The experimental results demonstrate that the estimation errors for the proposed technique are 2.18 per cent and 18.11 per cent in the axial and lateral velocity components, respectively. Other applications in which aperture-domain data can be used are also discussed.
本文综述了基于孔径域数据(即波束求和之前各通道记录的数据)的超声图像形成与信号处理的先进算法。首先定义了孔径域数据并描述了其特性,然后给出了相位像差校正和矢量速度估计的两个具体示例。对于相位像差校正,基于接收的孔径域数据的相干性的旁瓣降低技术用临床乳腺数据进行了测试;对比度和对比度噪声比的平均改善分别为6.9 dB和23.2%。对于血流估计,传统扫描仪只能估计与波束轴平行的血流速度。所提出的血流估计技术使用孔径域数据进行二维血流速度估计。实验结果表明,所提出技术在轴向和横向速度分量上的估计误差分别为2.18%和18.11%。还讨论了可以使用孔径域数据的其他应用。