高帧率合成透射孔径超声成像快速运动心脏瓣膜的精确重建

Mayumi Suzuki, T. Ikeda, C. Ishihara, Shinta Takano, H. Masuzawa
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摘要

为了诊断心脏瓣膜功能不全,即最严重的心功能障碍之一,必须获得高空间和时间分辨率的快速运动瓣膜图像。超声合成透射孔径成像(STA)通过对多次传输获得的多幅预波束形成图像进行合成,具有实现高空间分辨率的潜力。然而,由于快速运动目标的变形严重,将STA应用于快速运动目标是困难的。我们提出了一种高帧率STA(快速STA)成像方法,该方法减少了每张图像所需的传输事件数量。快速STA有望抑制运动目标的变形;然而,它可能导致空间分辨率下降。在本研究中,我们对快速STA进行了模拟研究。我们通过一个最大速度为0.5 m/s的径向移动阀模型,定量地评估了变形的减少和空间分辨率的恶化。利用脱机波束形成程序对仿真的阀体原始通道数据进行处理。我们比较了通过单接收线传输(SRT)方法、STA和快速STA获得的b模式图像。结果表明,将事件减少四倍的快速STA在重建运动阀的原始形状方面优于其他方法。与SRT和STA相比,其定位精度分别提高了97%和100%。考虑到形状重建性能的提高,发现分辨率下降低于烦恼阈值。所获得的结果有望为心血管疾病提供更精确的诊断信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Precise reconstruction of fast moving cardiac valve in high frame rate synthetic transmit aperture ultrasound imaging
To diagnose heart valve incompetence, i.e., one of the most serious cardiac dysfunctions, it is essential to obtain images of fast-moving valves at high spatial and temporal resolution. Ultrasound synthetic transmit aperture (STA) imaging has the potential to achieve high spatial resolution by synthesizing multiple pre-beamformed images obtained with corresponding multiple transmissions. However, applying STA to fast-moving targets is difficult due to serious target deformation. We propose a high-frame-rate STA (fast STA) imaging method that uses a reduced number of transmission events needed for each image. Fast STA is expected to suppress deformation of moving targets; however, it may result in deteriorated spatial resolution. In this study, we conducted a simulation study to evaluate fast STA. We quantitatively evaluated the reduction in deformation and deterioration of spatial resolution with a model involving a radially moving valve at the maximum speed of 0.5 m/s. The simulated raw channel data of the valve phantom was processed with offline beamforming programs. We compared B-mode images obtained through single received-line in a transmission (SRT) method, STA, and fast STA. The results show that fast STA with four-times-reduced events is superior in reconstructing the original shape of the moving valve to other methods. The accuracy of valve location is 97 and 100% better than those with SRT and STA, respectively. The resolution deterioration was found to be below the annoyance threshold considering the improved performance of the shape reconstruction. The obtained results are promising for providing more precise diagnostic information on cardiovascular diseases.
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