Diffuse Optical Tomography with polarized light: a GPU-accelerated polarization-sensitive Monte Carlo simulations for efficient Sensitivity Kernel computation

Hind Oulhaj; Julien Wojak; Ugo Tricoli; Callum M. Macdonald; Vadim A. Markel; Vadim A. Markel; Anabela Da Silva

doi:10.1117/12.2526939

Diffuse Optical Spectroscopy and Imaging VII
SPIE Proceedings (Optica Publishing Group, 2019),
paper 11074_30
•https://doi.org/10.1117/12.2526939

Diffuse Optical Tomography with polarized light: a GPU-accelerated polarization-sensitive Monte Carlo simulations for efficient Sensitivity Kernel computation

Hind Oulhaj, Julien Wojak, Ugo Tricoli, Callum M. Macdonald, Vadim A. Markel, and Anabela Da Silva

European Conference on Biomedical Optics 2019

Munich Germany
23–25 June 2019
ISBN: 9781510628410

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Theory, Algorithms and Computational Tools II (TACTII)

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H. Oulhaj, J. Wojak, U. Tricoli, C. M. Macdonald, V. A. Markel, and A. D. Silva, "Diffuse Optical Tomography with polarized light: a GPU-accelerated polarization-sensitive Monte Carlo simulations for efficient Sensitivity Kernel computation," in Diffuse Optical Spectroscopy and Imaging VII, Vol. EB101 of SPIE Proceedings (Optica Publishing Group, 2019), paper 11074_30.

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Abstract

In an effort to address Monte Carlo (MC) light prorogation shortcomings in terms of computational burden and light polarization-sensitivity, we report an efficient GPU-based MC for modeling polarized light in scattering medium.

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