The SVD beamformer with diverging waves: a proof-of-concept for fast aberration correction
The SVD beamformer with diverging waves: a proof-of-concept for fast aberration correction
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DOI：
10.1088/1361-6560/ac2129
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发表时间：
2021-09-21
影响因子：
3.5
通讯作者：
Tanter, Mickael
中科院分区：
文献类型：
--
作者：
Bendjador, Hanna;Decombas-Deschamps, Sofiane;Tanter, Mickael
超高速超声成像技术的兴起——利用平面波或发散波——为超声在生物医学领域的新应用铺平了道路。然而，通过复杂的层（通常是脂肪、肌肉和骨骼）传播会严重影响图像质量，特别是由于声速的不均匀性。对于难以成像的患者，例如肝脂肪变性，良好的图像和可靠的声速量化对于提供强大的非侵入性诊断工具至关重要。本文提出了将奇异值分解（SVD）波束形成方法用于发散波，从而为广泛应用的曲面阵列提供了一种新的像差校正方法。我们对其在体内和体外的有效性进行了实验研究。除了提出的矩阵形式外，我们还探讨了超快数据奇异值分解的物理意义。最后，我们展示了该技术提高图像质量的能力，并提供了新的视角，特别是在定量肝脏成像方面。
The rise of ultrafast ultrasound imaging-with plane or diverging waves - paved the way to new applications of ultrasound in biomedical applications. However, propagation through complex layers (typically fat, muscle, and bone) hinder considerably the image quality, especially because of sound speed heterogeneities. In difficult-to-image patients, in the case of the hepatic steatosis for instance, a good image and a reliable sound speed quantification are crucial to provide a powerful non-invasive diagnosis tool. In this work, we proposed to adapt the singular value decomposition (SVD) beamformer method for diverging waves and thus present a novel aberration correction approach for widely used curved arrays. We probed its efficiency experimentally both in vitro and in vivo. Besides the proposed matrix formalism, we explored the physical meaning of the SVD of ultrafast data. Finally, we demonstrated the ability of the technique to improve the image quality and offer new perspectives particularly in quantitative liver imaging.