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13 March 2024 Information transport at the extreme limits of diffusion
Jack Radford, Daniele Faccio
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Proceedings Volume PC12836, Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis; PC128360I (2024) https://doi.org/10.1117/12.3000355
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Most diffuse imaging techniques work in the regime around 10 transport mean free path lengths (e.g., 1cm of human tissue). To realise the potential of non-invasive diffuse optical imaging modalities requires a focused effort to develop techniques in regimes beyond 100 transport mean free paths. The work presented shows evidence that there is imaging information at these extreme scattering regimes in the spatiotemporal distribution of diffuse photons, and information can be enhanced by considering key experimental parameters. Furthermore, we show numerical evidence that there is enough information to reconstruct images of absorbing shapes embedded in highly diffuse materials when using machine learning inverse retrieval algorithms. This work explores the use of highly diffuse light to enable imaging through scattering media well beyond currently accepted limits.
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Jack Radford and Daniele Faccio "Information transport at the extreme limits of diffusion", Proc. SPIE PC12836, Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis, PC128360I (13 March 2024); https://doi.org/10.1117/12.3000355
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KEYWORDS
Diffusion
Algorithm development
Image enhancement
Image quality
Image restoration
Image retrieval
Reconstruction algorithms
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