Computational time-of-flight diffuse optical tomography.

2018 
Imaging through a strongly diffusive medium remains an outstanding challenge with applications in biological and medical imaging, imaging through fog or adverse environmental conditions, and free-space optical communication. Here we propose a method based on a single-photon time-of-flight camera that allows, in combination with computational processing of the spatial and full temporal photon distribution data, to image an object embedded inside a strongly diffusive medium over more than 80 scattering lengths. The technique is contactless and requires one second acquisition times thus allowing Hz frame rate imaging. This imaging depth corresponds to several cm of human tissue and allows one to perform deep-body imaging, here demonstrated as a proof-of-principle.
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