Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Ultrasound Med Biol. 2022 Jun;48(6):975-996. doi: 10.1016/j.ultrasmedbio.2022.01.009. Epub 2022 Mar 11.
Traditional pulse-echo ultrasound imaging heavily relies on the discernment of signals based on their relative magnitudes but is limited in its ability to mitigate sources of image degradation, the most prevalent of which is acoustic clutter. Advances in computing power and data storage have made it possible for echo data to be alternatively analyzed through the lens of spatial coherence, a measure of the similarity of these signals received across an array. Spatial coherence is not currently explicitly calculated on diagnostic ultrasound scanners but a large number of studies indicate that it can be employed to describe image quality, to adaptively select system parameters and to improve imaging and target detection. With the additional insights provided by spatial coherence, it is poised to play a significant role in the future of medical ultrasound. This review details the theory of spatial coherence in pulse-echo ultrasound and key advances made over the last few decades since its introduction in the 1980s.
传统的脉冲回波超声成象严重依赖于根据信号的相对幅度进行判断,但在减轻图像退化源方面的能力有限,其中最常见的是声干扰。计算能力和数据存储的进步使得回波数据可以通过空间相干性的角度进行替代分析,这是接收这些信号在阵列中的相似性的度量。空间相干性目前在诊断超声扫描仪上没有被明确计算,但是大量研究表明,它可以用于描述图像质量、自适应选择系统参数以及改善成像和目标检测。随着空间相干性提供的额外见解,它有望在未来的医学超声中发挥重要作用。这篇综述详细介绍了脉冲回波超声中的空间相干性理论以及自 20 世纪 80 年代引入以来在过去几十年中取得的关键进展。