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Beam domain adaptive beamforming using generalized side lobe canceller with coherence factor for medical ultrasound imaging

机译:使用相干因子的广义旁瓣抵消器进行波束域自适应波束形成,用于医学超声成像

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As medical ultrasound (MU) signals are not stationary, the radiation pattern of the corresponding input data does not have a specific shape; thus, their reconstruction using Adaptive Beamformers (BF) becomes indispensable in order to improve the quality of the imaging system. Generalized Sidelobe Canceller (GSC) is a robust realization against clutter and interference, resulting from an elegant representation of Linearly Constrained Minimum Variance (LCMV) and Linearly Constrained Minimum Power (LCMP) BF. The MU imaging systems traditionally use larger array transducers which result in a larger element space. In this work, the beam domain GSC with coherence factor (BGSC-CF) was proposed in order to reduce the space dimension and consequently diminish computational complexity by exploring the transform matrix (T) properties. A Verasonics Vantage ultrasound system with a 6.25 MHz central frequency 128-element linear array transducer L11-4v was used to acquire the raw RF data from a multi-purpose tissue/cyst ultrasound phantom (Fluke model 84-317). For performance evaluation, the proposed method was compared with the techniques delay and sum (DAS), minimum variance (MV), GSC and eigenspace GSC (EGSC). Based on the obtained results it was possible to conclude that our proposed method BGSC-CF allows improvements in terms of array clutter suppression capabilities and it reveals to be robust in terms of anechoic cyst border definition when compared to the other techniques.
机译:由于医学超声(MU)信号不是平稳的,因此相应输入数据的辐射方向图没有特定的形状。因此,为了提高成像系统的质量,使用自适应波束形成器(BF)进行重建是必不可少的。广义旁瓣消除器(GSC)是一种抗杂波和干扰的强大实现,它很好地表示了线性约束最小方差(LCMV)和线性约束最小功率(LCMP)BF。 MU成像系统传统上使用较大的阵列换能器,这导致较大的元件空间。在这项工作中,提出了具有相干因子的波束域GSC(BGSC-CF),以通过探索变换矩阵(T)的特性来减小空间尺寸并因此降低计算复杂度。具有6.25 MHz中心频率128元素线性阵列换能器L11-4v的Verasonics Vantage超声系统用于从多功能组织/囊肿超声体模(Fluke 84-317型)中获取原始RF数据。为了进行性能评估,将提出的方法与延迟和总和(DAS),最小方差(MV),GSC和本征空间GSC(EGSC)进行了比较。根据获得的结果,可以得出结论,我们提出的方法BGSC-CF可以改善阵列杂波抑制能力,并且与其他技术相比,它在消声囊肿边界定义方面表现出强大的功能。

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