论文标题
信号和图像处理在光声成像中的重要性
Importance of Signal and Image Processing in Photoacoustic Imaging
论文作者
论文摘要
光声成像（PAI）是一种强大的成像方式，依赖于PA效应。 PAI致力于生物组织中存在的外源性对比剂和/或内源分子的电磁能吸收原理，因此产生了超声波。 PAI将高光学对比度与高声时空分辨率结合在一起，从而使吸收剂在深层结构上具有非侵入性可视化。但是，由于异质浊度生物组织的光学扩散和超声衰减，PA图像的质量被恶化。因此，在PAI中，信号和图像处理技术必须提供高质量图像，并在深层组织中提供详细的结构和功能信息。在这里，我们回顾了在PAI中开发/实施的各种信号和图像处理技术。我们的目标是强调图像计算在光声成像中的重要性。
Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI works on the principle of electromagnetic energy absorption by the exogenous contrast agents and/or endogenous molecules present in the biological tissue, consequently generating ultrasound waves. PAI combines a high optical contrast with a high acoustic spatiotemporal resolution, allowing the non-invasive visualization of absorbers at deep structures. However, due to the optical diffusion and ultrasound attenuation in heterogeneous turbid biological tissue, the quality of the PA images is deteriorated. Therefore, signal and image processing techniques are imperative in PAI to provide high quality images with detailed structural and functional information in deep tissues. Here, we review various signal and image processing techniques that have been developed/implemented in PAI. Our goal is to highlight the importance of image computing in photoacoustic imaging.
