Translator Disclaimer
Presentation
12 April 2021 Deep-diffuse, time-resolved imaging from an information perspective
Author Affiliations +
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
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
PRESENTATION


SHARE
Advertisement
Advertisement
Back to Top