Satat Guy, Heshmat Barmak, Raviv Dan, Raskar Ramesh
Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sci Rep. 2016 Sep 29;6:33946. doi: 10.1038/srep33946.
Imaging through thick highly scattering media (sample thickness ≫ mean free path) can realize broad applications in biomedical and industrial imaging as well as remote sensing. Here we propose a computational "All Photons Imaging" (API) framework that utilizes time-resolved measurement for imaging through thick volumetric scattering by using both early arrived (non-scattered) and diffused photons. As opposed to other methods which aim to lock on specific photons (coherent, ballistic, acoustically modulated, etc.), this framework aims to use all of the optical signal. Compared to conventional early photon measurements for imaging through a 15 mm tissue phantom, our method shows a two fold improvement in spatial resolution (4db increase in Peak SNR). This all optical, calibration-free framework enables widefield imaging through thick turbid media, and opens new avenues in non-invasive testing, analysis, and diagnosis.
通过厚的高散射介质（样品厚度≫平均自由程）进行成像可在生物医学和工业成像以及遥感中实现广泛应用。在此，我们提出一种计算“全光子成像”（API）框架，该框架利用时间分辨测量，通过使用早期到达（非散射）光子和漫射光子来对厚体积散射体进行成像。与其他旨在锁定特定光子（相干、弹道、声学调制等）的方法不同，此框架旨在利用所有光信号。与通过15毫米组织模型进行成像的传统早期光子测量相比，我们的方法在空间分辨率上提高了两倍（峰值信噪比增加4分贝）。这种全光学、无需校准的框架能够通过厚浑浊介质进行宽视场成像，并为非侵入性测试、分析和诊断开辟了新途径。
