IEEE Trans Ultrason Ferroelectr Freq Control. 2021 May;68(5):1641-1652. doi: 10.1109/TUFFC.2020.3043795. Epub 2021 Apr 26.
Plane-wave compounding is an active topic of research in ultrasound imaging because it is a promising technique for ultrafast ultrasound imaging. Unfortunately, due to the data-independent nature of the traditional compounding method, it imposes a fundamental limit on image quality. To address this issue, adaptive beamformers have been implemented in the compounding procedure. In this article, a new adaptive beamformer for the 2-D data set obtained from multiple plane-wave transmissions is investigated. In the proposed scheme, the minimum variance (MV) weights are applied to the backscattered echoes. Then, the final image is obtained by employing a modified version of the delay multiply-and-sum (DMAS) beamformer in the coherent compounding. The results demonstrate that the presented MV-DMAS scheme outperforms the conventional coherent compounding in both terms of resolution and contrast. It also offers improvements over the 2-D-DMAS and some MV-based methods presented in the literature, such that it achieves at least 20.9% enhancement in sidelobe reduction compared with the best result of MV-based methods. Also, by the proposed method, the in vivo study shows an improved generalized contrast-to-noise ratio (GCNR) that implies a higher probability of lesion detection.
平面波复合是超声成像领域的一个活跃研究课题,因为它是一种超快超声成像的有前途的技术。不幸的是,由于传统复合方法的数据独立性,它对图像质量施加了基本限制。为了解决这个问题,自适应波束形成器已在复合过程中实现。在本文中,研究了一种用于从多次平面波传输获得的 2-D 数据集的新的自适应波束形成器。在提出的方案中,最小方差(MV)权重应用于反向散射回波。然后,通过在相干复合中使用延迟乘法求和(DMAS)波束形成器的修改版本来获得最终图像。结果表明,所提出的 MV-DMAS 方案在分辨率和对比度方面均优于传统的相干复合。与文献中提出的一些基于 MV 的方法相比,它也优于 2-D-DMAS,与基于 MV 的方法的最佳结果相比,它至少实现了 20.9%的旁瓣降低增强。此外,通过所提出的方法,体内研究显示出改进的广义对比度噪声比(GCNR),这意味着提高了病变检测的可能性。