论文标题
光声波动成像：对血流成像的理论和应用
Photoacoustic fluctuation imaging: theory and application to blood flow imaging
论文作者
论文摘要
与传统的光声图像相比，在光声生成中利用随机性的光声波动成像提供了增强的图像。虽然已经报道了一些光声波动成像的实验证明，但迄今为止尚未从理论上描述。在这项工作的第一部分中，我们提出了一种与随机照明模式或吸收颗粒的随机分布引起的波动相关的理论。理论预测通过随机粒子介质中光声产生的蒙特卡洛有限差分时间域模拟来验证。我们提供了一个物理洞察力，了解为什么二阶波动图像不存在可见性伪像。在第二部分中，我们在实验上证明，利用红细胞流动引起的随机性会产生光声波动图像，没有可见性人工制品。作为第一个概念证明，我们获得了血管幻像的二维图像。最终在体内应用光声波动成像，以获得鸡胚胎中血管化的3D图像。
Photoacoustic fluctuation imaging, which exploits randomness in photoacoustic generation, provides enhanced images in terms of resolution and visibility, as compared to conventional photoacoustic images. While a few experimental demonstrations of photoacoustic fluctuation imaging have been reported, it has to date not been described theoretically. In the first part of this work, we propose a theory relevant to fluctuations induced either by random illumination patterns or by random distributions of absorbing particles. The theoretical predictions are validated by Monte Carlo finite-difference time-domain simulations of photoacoustic generation in random particle media. We provide a physical insight into why visibility artefacts are absent from second-order fluctuation images. In the second part, we demonstrate experimentally that harnessing randomness induced by the flow of red blood cells produce photoacoustic fluctuation images free of visibility artefacts. As a first proof of concept, we obtain two-dimensional images of blood vessel phantoms. Photoacoustic fluctuation imaging is finally applied in vivo to obtain 3D images of the vascularization in a chicken embryo.
