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Eigenspace-based minimum variance beamformer combined with Wiener postfilter for medical ultrasound imaging

机译:基于特征空间的最小方差波束形成器与维纳后置滤波器相结合用于医学超声成像

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摘要

In this paper, a new beamformer which combines the eigenspace-based minimum variance (ESBMV) beamformer with the Wiener postfilter is proposed for medical ultrasound imaging. The primary goal of this work is to further improve the medical ultrasound imaging quality on the basis of the ESBMV beamformer. In this method, we optimize the ESBMV weights with a Wiener postfilter. With the optimization of the Wiener postfilter, the output power of the new beamformer becomes closer to the actual signal power at the imaging point than the ESBMV beamformer. Different from the ordinary Wiener postfilter, the output signal and noise power needed in calculating the Wiener postfilter are estimated respectively by the orthogonal signal subspace and noise subspace constructed from the eigenstructure of the sample covariance matrix. We demonstrate the performance of the new beamformer when resolving point scatterers and cyst phantom using both simulated data and experimental data and compare it with the delay-and-sum (DAS), the minimum variance (MV) and the ESBMV beamformer. We use the full width at half maximum (FWHM) and the peak-side-lobe level (PSL) to quantify the performance of imaging resolution and the contrast ratio (CR) to quantify the performance of imaging contrast. The FWHM of the new beamformer is only 15%, 50% and 50% of those of the DAS, MV and ESBMV beamformer, while the PSL is 127.2 dB, 115 dB and 60 dB lower. What is more, an improvement of 239.8%, 232.5% and 32.9% in CR using simulated data and an improvement of 814%, 1410.7% and 86.7% in CR using experimental data are achieved compared to the DAS, MV and ESBMV beamformer respectively. In addition, the effect of the sound speed error is investigated by artificially overestimating the speed used in calculating the propagation delay and the results show that the new beamformer provides better robustness against the sound speed errors. Therefore, the proposed beamformer offers a better performance than the DAS, MV and ESBMV beamformer, showing its potential in medical ultrasound imaging.
机译:本文提出了一种结合基于特征空间的最小方差(ESBMV)波束形成器和维纳后置滤波器的新型波束形成器,用于医学超声成像。这项工作的主要目标是在ESBMV波束形成器的基础上进一步提高医学超声成像质量。在这种方法中,我们使用Wiener后置滤波器优化ESBMV权重。通过优化Wiener后置滤波器,新波束形成器的输出功率将比ESBMV波束形成器更接近成像点的实际信号功率。与普通的维纳后置滤波器不同,计算维纳后置滤波器所需的输出信号和噪声功率分别由样本协方差矩阵的本征结构构成的正交信号子空间和噪声子空间估计。我们使用模拟数据和实验数据演示了新型点波束形成器在解析点散射体和囊状体模时的性能,并将其与延迟和(DAS),最小方差(MV)和ESBMV波束形成器进行了比较。我们使用半高全宽(FWHM)和峰旁瓣电平(PSL)来量化成像分辨率的性能,并使用对比度(CR)来量化成像对比度的性能。新型波束形成器的FWHM仅是DAS,MV和ESBMV波束形成器的FWHM的15%,50%和50%,而PSL分别降低了127.2 dB,115 dB和60 dB。此外,与DAS,MV和ESBMV波束形成器相比,使用模拟数据获得的CR分别提高239.8%,232.5%和32.9%,使用实验数据获得的CR分别提高814%,141.7%和86.7%。此外,通过人为地高估了用于计算传播延迟的速度,研究了声速误差的影响,结果表明,新型波束形成器可更好地抵抗声速误差。因此,所提出的波束形成器比DAS,MV和ESBMV波束形成器具有更好的性能,显示了其在医学超声成像中的潜力。

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