A Transverse Velocity Spectral Estimation Method for Ultrafast Ultrasound Doppler Imaging.
A Transverse Velocity Spectral Estimation Method for Ultrafast Ultrasound Doppler Imaging.
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超快超声多普勒成像的横向速度谱估计方法。
DOI：
10.1109/tuffc.2023.3316748
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Lindsey,BrooksD
中科院分区：
文献类型：
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作者：
Jing,Bowen;Carrasco,DarioI;AuYong,Nicholas;Lindsey,BrooksD
提出了一种新的横向速度谱估计方法，用于超快成像中横向速度分量的估计。在去除轴向振动后，通过对包络数据进行滤波，引入横向振动。然后利用复横向振荡信号估计横向速度谱和平均速度。在模拟中，无论是稳定的流与抛物线的流量剖面和随时间变化的流量进行了模拟，以研究所提出的方法的性能。然后，将该方法应用于脉动流体模中的流速估计，最后，将该方法应用于小动物模型的体内实验。仿真研究结果表明，该方法在束流角度从45°到90°范围内都能提供准确的速度谱图，且随着角度的减小，性能没有明显下降。对于随时间变化的流的模拟，所提出的方法相比于先前的方法具有降低的偏差（%对73.3%）和更高的峰背景比（PBR）（>15.6对10.5 dB）。在血管体模的结果表明，随时间变化的流速可以估计在横向上使用所提出的方法操作的包络数据产生的频谱图获得。最后，所提出的方法被用来映射在小鼠脊髓中的微血管血流速度，证明了在几个心动周期内的轴向和横向方向的脉动血流在体内的估计。
A novel transverse velocity spectral estimation method is proposed to estimate the velocity component in the direction transverse to the beam axis for ultrafast imaging. The transverse oscillation was introduced by filtering the envelope data after the axial oscillation was removed. The complex transverse oscillated signal was then used to estimate the transverse velocity spectrum and mean velocity. In simulations, both steady flow with a parabolic flow profile and temporally varying flow were simulated to investigate the performance of the proposed method. Next, the proposed approach was used to estimate the flow velocity in a phantom with pulsatile flow, and finally, this method was applied in vivo in a small animal model. Results of the simulation study indicate that the proposed method provided an accurate velocity spectrogram for beam-to-flow angles from 45° to 90°, without significant performance degradation as the angle decreased. For the simulation of temporally varying flow, the proposed method had a reduced bias (% versus 73.3%) and higher peak-to-background ratio (PBR) (>15.6 versus 10.5 dB) compared to previous methods. Results in a vessel phantom show that the temporally varying flow velocity can be estimated in the transverse direction obtained using the spectrogram produced by the proposed method operating on the envelope data. Finally, the proposed method was used to map the microvascular blood flow velocity in the mouse spinal cord, demonstrating the estimation of pulsatile blood flow in both the axial and transverse directions in vivo over several cardiac cycles.