IEEE Trans Med Imaging. 2022 Dec;41(12):3907-3920. doi: 10.1109/TMI.2022.3199498. Epub 2022 Dec 2.
This is the first article in a series of two dealing with a matrix approach for aberration quantification and correction in ultrasound imaging. Advanced synthetic beamforming relies on a double focusing operation at transmission and reception on each point of the medium. Ultrasound matrix imaging (UMI) consists in decoupling the location of these transmitted and received focal spots. The response between those virtual transducers form the so-called focused reflection matrix that actually contains much more information than a confocal ultrasound image. In this paper, a time-frequency analysis of this matrix is performed, which highlights the single and multiple scattering contributions as well as the impact of aberrations in the monochromatic and broadband regimes. Interestingly, this analysis enables the measurement of the incoherent input-output point spread function at any pixel of this image. A fitting process enables the quantification of the single scattering, multiple scattering and noise components in the image. From the single scattering contribution, a focusing criterion is defined, and its evolution used to quantify the amount of aberration throughout the ultrasound image. In contrast to the state-of-the-art coherence factor, this new indicator is robust to multiple scattering and electronic noise, thereby providing a contrasted map of the focusing quality at a much better transverse resolution. After a validation of the proof-of-concept based on time-domain simulations, UMI is applied to the in-vivo study of a human calf. Beyond this specific example, UMI opens a new route for speed-of-sound and scattering quantification in ultrasound imaging.
这是关于超声成像中像差定量和校正的矩阵方法的系列文章中的第一篇。高级合成波束形成依赖于在介质的每一点处的发射和接收的双重聚焦操作。超声矩阵成像(UMI)在于解耦这些发射和接收焦点的位置。这些虚拟换能器之间的响应形成了所谓的聚焦反射矩阵,该矩阵实际上包含比共焦超声图像更多的信息。在本文中,对该矩阵进行了时频分析,突出了单散射和多散射贡献以及在单色和宽带两种情况下像差的影响。有趣的是,这种分析能够测量该图像中任何像素的非相干输入-输出点扩展函数。拟合过程能够定量测量图像中的单散射、多散射和噪声分量。从单散射贡献中,定义了聚焦准则,并使用其演变来定量评估整个超声图像中的像差量。与现有技术的相干因子不同,该新指标对多散射和电子噪声具有鲁棒性,从而在更高的横向分辨率下提供聚焦质量的对比图。在基于时域仿真的概念验证验证之后,UMI 被应用于人体小腿的体内研究。除了这个具体的例子之外,UMI 为超声成像中的声速和散射定量开辟了一条新途径。