Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse imaging methods measure optical absorption or fluorescent emission, it is also well-established that the temporal correlation of scattered coherent light diffuses through tissue much like optical intensity. Few works to date, however, have aimed to experimentally measure and process such temporal correlation data to demonstrate deep-tissue video reconstruction of decorrelation dynamics. In this work, we utilize a single-photon avalanche diode (SPAD) array camera to simultaneously monitor the temporal dynamics of speckle fluctuations at the single-photon level from 12 different phantom tissue surface locations delivered via a customized fiber bundle array. We then apply a deep neural network to convert the acquired single-photon measurements into video of scattering dynamics beneath rapidly decorrelating tissue phantoms. We demonstrate the ability to reconstruct images of transient (0.1-0.4s) dynamic events occurring up to 8 mm beneath a decorrelating tissue phantom with millimeter-scale resolution, and highlight how our model can flexibly extend to monitor flow speed within buried phantom vessels.
翻译:通过动态散射介质进行的非穿透光学成像通过动态散射媒体有许多重要的生物医学应用,但仍是一项艰巨的任务。标准散射成像方法测量光吸收光学或荧光排放,但人们也清楚地认识到,通过像光密度这样的组织散散散散一致的光散散散散散散散散光散射在像光纤密集度这样的组织上的时间相关关系。然而,迄今为止,很少有工作旨在实验测量和处理这种时间相关数据,以显示深组织光谱变异动态的深组织视频重建。在这项工作中,我们使用单粒子雪崩二极(SPAD)阵列相机,同时监测通过定制纤维捆绑阵列交付的12个不同位置的单光谱组织表面的浮游时间动态。我们随后应用了深神经网络,将获得的单发光谱测量结果转换成在快速脱光组织幻影体下散射动态的视频。我们展示了重建瞬时(0.1-0.4秒)动态事件图像的能力,该动态事件发生在一个破解组织光谱解解解度分辨率的8毫米分辨率下,并突出我们的模型能够灵活扩展监测掩埋容器内流速度。