Deep-diffuse, time-resolved imaging from an information perspective

Daniele Faccio; Alex Turpin; Jack Radford; Ilya Starshynov

doi:10.1117/12.2585675

12 April 2021 Deep-diffuse, time-resolved imaging from an information perspective

Daniele Faccio, Alex Turpin, Jack Radford, Ilya Starshynov

Proceedings Volume 11721, Advanced Photon Counting Techniques XV; 1172108 (2021) https://doi.org/10.1117/12.2585675
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Imaging through strongly diffuse media can be extremely challenging yet has many applications ranging from seeing though thick fog to imaging inside the human body. A number of approaches have been demonstrated for imaging over a relatively small number of transport mean free paths, TMFPs, defined as the distance over which scattering leads to complete loss information of the original photon propagation direction. However, imaging deep inside the body, for example all the way through the head, requires transmission through more than 100 TMFPs. Whereas late photons degrade image retrieval with weak diffusion, we show how in the presence of deep diffusion including the late photons in the inverse retrieval enhances the image reconstruction. An analysis using information theory sheds light on how information moves from the early photons towards later arrival times and provides insight into how to improve inverse image retrieval.

Conference Presentation

Citation Download Citation

Daniele Faccio, Alex Turpin, Jack Radford, and Ilya Starshynov "Deep-diffuse, time-resolved imaging from an information perspective", Proc. SPIE 11721, Advanced Photon Counting Techniques XV, 1172108 (12 April 2021); https://doi.org/10.1117/12.2585675

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