Quantitative photoacoustic tomography aims to recover the spatial distribution of absolute chromophore concentrations and their ratios from deep tissue, high-resolution images. In this study, a model-based inversion scheme based on a Monte-Carlo light transport model is experimentally validated on 3-D multispectral images of a tissue phantom acquired using an all-optical scanner with a planar detection geometry. A calibrated absorber allowed scaling of the measured data during the inversion, while an acoustic correction method was employed to compensate the effects of limited view detection. Chromophore- and fluence-dependent step sizes and Adam optimization were implemented to achieve rapid convergence. High resolution 3-D maps of absolute concentrations and their ratios were recovered with high accuracy. Potential applications of this method include quantitative functional and molecular photoacoustic tomography of deep tissue in preclinical and clinical studies.

定量光声层析成像的目的是从深部组织，高分辨率图像中恢复绝对发色团浓度及其比例的空间分布。在这项研究中，基于蒙特卡洛光传输模型的基于模型的反演方案在使用具有平面检测几何形状的全光学扫描仪获取的组织体模的3D多光谱图像上进行了实验验证。校准后的吸收器允许在反演期间缩放测量数据，而采用声学校正方法来补偿有限视点检测的影响。依赖发色团和注量的步长和Adam优化来实现快速收敛。高精度回收了绝对浓度及其比率的高分辨率3-D图。