Opt Lett. 2020 Aug 15;45(16):4575-4578. doi: 10.1364/OL.393315.
A recently introduced nonlinear th root delay-and-sum (NL--DAS) beamforming (BF) technique for ultrasound (US) and photoacoustic (PA) imaging, achieving better spatial and contrast resolution compared to a conventional delay and sum (DAS) technique. While the method is advantageous for better resolution, it suffers from grainy speckles and dark areas in the image mainly due to the interference of non-sinusoidal functions. In this Letter, we introduce a modified NL--DAS technique called nonlinear th root spectral magnitude scaling (NL--SMS), which performs the th root on the spectral magnitude instead of the temporal amplitude. We evaluated the US and PA images of NL--SMS against those of NL--DAS by comparing the axial and lateral line profiles, contrasts, and contrast-to-noise ratios (CNRs) in both phantom and in vivo imaging studies with various values. As a result, we found that the NL--SMS has better axial resolution and CNR than the NL--DAS, and reduces the grainy speckles and dark area artifacts. We believe that, with this enhanced performance, our proposed approach could be an advancement compared to the existing nonlinear BF algorithms.
一种新引入的非线性 th 根延迟和求和(NL--DAS)波束形成(BF)技术,用于超声(US)和光声(PA)成像,与传统的延迟和求和(DAS)技术相比,具有更好的空间和对比度分辨率。虽然该方法有利于提高分辨率,但由于非正弦函数的干扰,图像中存在颗粒状斑点和暗区。在本信中,我们引入了一种称为非线性 th 根谱幅度缩放(NL--SMS)的改进 NL--DAS 技术,该技术对谱幅度而不是时间幅度执行 th 根运算。我们通过比较轴向和横向线轮廓、对比度和对比度噪声比(CNR),在具有不同 值的各种体模和体内成像研究中评估了 NL--SMS 对 NL--DAS 的 US 和 PA 图像。结果表明,NL--SMS 具有比 NL--DAS 更好的轴向分辨率和 CNR,并且减少了颗粒状斑点和暗区伪影。我们相信,通过这种增强的性能,我们提出的方法可以与现有的非线性 BF 算法相比有所改进。