GPU-accelerated online Monte Carlo (MC) application for imitation of twisted light propagation in turbid tissue-like scattering media (Conference Presentation)

Alexander Doronin; Hee Ryung Lee; Tatiana Novikova; Nicolás Vera; Juan Pablo Staforelli; Alexander Bykov; Igor Meglinski

doi:10.1117/12.2545779

Translator Disclaimer

9 March 2020 GPU-accelerated online Monte Carlo (MC) application for imitation of twisted light propagation in turbid tissue-like scattering media (Conference Presentation)

Alexander Doronin, Hee Ryung Lee, Tatiana Novikova, Nicolás Vera, Juan Pablo Staforelli, Alexander Bykov, Igor Meglinski

Author Affiliations +

Proceedings Volume 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis; 112340K (2020) https://doi.org/10.1117/12.2545779
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

In the current report, we present further developments of a unified open-access Monte Carlo (MC) based computational tool for simulation of twisted light propagation in turbid tissue-like scattering medium. We introduce an online browser-based application and a media model which considers both spatial and volumetric variations such surface roughness and subsurface scattering optical properties. The online application has been integrated with the parallel simulation framework developed in-house and is being extensively used in the ongoing studies of twisted light propagation in turbid media (e.g. phantoms and cancerous lesions). Rigorous validation against data obtained during experimental studies is presented.

Conference Presentation

Citation Download Citation

Alexander Doronin, Hee Ryung Lee, Tatiana Novikova, Nicolás Vera, Juan Pablo Staforelli, Alexander Bykov, and Igor Meglinski "GPU-accelerated online Monte Carlo (MC) application for imitation of twisted light propagation in turbid tissue-like scattering media (Conference Presentation)", Proc. SPIE 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 112340K (9 March 2020); https://doi.org/10.1117/12.2545779

ACCESS THE FULL ARTICLE