Efficient Monte Carlo simulations of subdiffusive reflectance for spatial frequency domain imaging systems with a low NA

Yevhen Zelinskyi; Peter Naglič; Franjo Pernuš; Boštjan Likar; Miran Bürmen

doi:10.1117/12.2615422

9 December 2021 Efficient Monte Carlo simulations of subdiffusive reflectance for spatial frequency domain imaging systems with a low NA

Yevhen Zelinskyi, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Author Affiliations +

Proceedings Volume 11920, Diffuse Optical Spectroscopy and Imaging VIII; 119201U (2021) https://doi.org/10.1117/12.2615422
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

We propose neural network-based regression model for efficient Monte Carlo simulations of subdiffusive reflectance for spatial frequency domain imaging with low NA and validate the methodology with inverse models for estimation of optical properties.

Citation Download Citation

Yevhen Zelinskyi, Peter Naglič, Franjo Pernuš, Boštjan Likar, and Miran Bürmen "Efficient Monte Carlo simulations of subdiffusive reflectance for spatial frequency domain imaging systems with a low NA", Proc. SPIE 11920, Diffuse Optical Spectroscopy and Imaging VIII, 119201U (9 December 2021); https://doi.org/10.1117/12.2615422

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