基于复合子空间正交分解的低复杂度最小方差波束形成器。

IF 2.5 4区 医学 Q1 ACOUSTICS
Yinmeng Wang, Yanxing Qi, Yuanyuan Wang
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引用次数: 3

摘要

最小方差波束形成作为一种典型的自适应波束形成方法,在医学超声成像中得到了广泛的研究。与传统的延迟和波束形成相比,该方法在保持所需信号的同时最小化了总输出功率,从而获得了更高的空间分辨率。然而,在确定高维矩阵的逆时,由于计算量大,计算复杂度高。近年来,人们对低复杂度的MV算法进行了研究。在本研究中,我们提出了一种基于合成孔径成像中协方差矩阵复合子空间(CS)正交分解的新型中压波束形成器,旨在降低协方差矩阵的维数,从而降低计算复杂度。对回波信号进行多波空间平滑,精确估计协方差矩阵,并从原协方差矩阵的低维子空间计算自适应权向量。我们进行了模拟、实验和体内研究来验证所提出方法的性能。结果表明,与标准中压波束形成器相比,该方法既保持了高空间分辨率的优势,又有效地降低了计算复杂度。此外,该方法对声速误差具有较好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Low-complexity Minimum-variance Beamformer Based on Orthogonal Decomposition of the Compounded Subspace.

Minimum-variance (MV) beamforming, as a typical adaptive beamforming method, has been widely studied in medical ultrasound imaging. This method achieves higher spatial resolution than traditional delay-and-sum (DAS) beamforming by minimizing the total output power while maintaining the desired signals. However, it suffers from high computational complexity due to the heavy calculation load when determining the inverse of the high-dimensional matrix. Low-complexity MV algorithms have been studied recently. In this study, we propose a novel MV beamformer based on orthogonal decomposition of the compounded subspace (CS) of the covariance matrix in synthetic aperture (SA) imaging, which aims to reduce the dimensions of the covariance matrix and therefore reduce the computational complexity. Multiwave spatial smoothing is applied to the echo signals for the accurate estimation of the covariance matrix, and adaptive weight vectors are calculated from the low-dimensional subspace of the original covariance matrix. We conducted simulation, experimental and in vivo studies to verify the performance of the proposed method. The results indicate that the proposed method performs well in maintaining the advantage of high spatial resolution and effectively reduces the computational complexity compared with the standard MV beamformer. In addition, the proposed method shows good robustness against sound velocity errors.

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来源期刊
Ultrasonic Imaging
Ultrasonic Imaging 医学-工程:生物医学
CiteScore
5.10
自引率
8.70%
发文量
15
审稿时长
>12 weeks
期刊介绍: Ultrasonic Imaging provides rapid publication for original and exceptional papers concerned with the development and application of ultrasonic-imaging technology. Ultrasonic Imaging publishes articles in the following areas: theoretical and experimental aspects of advanced methods and instrumentation for imaging
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