Department of Biomedical Engineering, National University of Singapore, Singapore, 117576, Singapore.
Department of Radiology, Cancer Center, Guangzhou Medical University, Guangzhou, China.
Sci Rep. 2018 Aug 14;8(1):12134. doi: 10.1038/s41598-018-30353-5.
Time-domain diffuse optical measurement systems determine depth-resolved absorption changes by using the time of flight distribution of the detected photons. It is well known that certain feature data, such as the Laplace transform of the temporal point spread function, is sufficient for image reconstruction and diffuse optical sensing. Conventional time-domain systems require the acquisition of full temporal profiles of diffusive photons and then numerically compute the feature dataset, for example, Laplace transformed intensities for imaging applications. We have proposed a novel method for directly obtaining the Laplace transform data. Our approach can significantly improve the data acquisition speed for time-domain diffuse optical imaging. We also demonstrated that the use of negative Laplace parameters can provide enhanced sensitivity to perturbations located in deep regions.
时域漫反射光学测量系统通过检测光子的飞行时间分布来确定深度分辨的吸收变化。众所周知,某些特征数据,如时间点扩展函数的拉普拉斯变换,足以用于图像重建和漫反射光传感。传统的时域系统需要获取漫射光子的完整时间分布曲线,然后数值计算特征数据集,例如,用于成像应用的拉普拉斯变换强度。我们提出了一种直接获取拉普拉斯变换数据的新方法。我们的方法可以显著提高时域漫反射光学成像的采集速度。我们还证明了使用负的拉普拉斯参数可以提高对位于深部的扰动的灵敏度。