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Proceedings Paper

Light propagation through weakly scattering media: a study of Monte Carlo vs. diffusion theory with application to neuroimaging
Author(s): Daniele Ancora; Athanasios Zacharopoulos; Jorge Ripoll; Giannis Zacharakis
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Paper Abstract

One of the major challenges within Optical Imaging, photon propagation through clear layers embedded between scattering tissues, can be now efficiently modelled in real-time thanks to the Monte Carlo approach based on GPU. Because of its nature, the photon propagation problem can be very easily parallelized and ran on low cost hardware, avoiding the need for expensive Super Computers. A comparison between Diffusion and MC photon propagation theory is presented in this work with application to neuroimaging, investigating low scattering regions in a mouse-like phantom. Regions such as the Cerebral Spinal Fluid, are currently not taken into account in the classical computational models because of the impossibility to accurately simulate light propagation using fast Diffusive Equation approaches, leading to inaccuracies during the reconstruction process. The goal of the study presented here, is to reduce and further improve the computation accuracy of the reconstructed solution in a highly realistic scenario in the case of neuroimaging in preclinical mouse models.

Paper Details

Date Published: 16 July 2015
PDF: 6 pages
Proc. SPIE 9538, Diffuse Optical Imaging V, 95380G (16 July 2015); doi: 10.1117/12.2183899
Show Author Affiliations
Daniele Ancora, Foundation for Research and Technology-Hellas (Greece)
Athanasios Zacharopoulos, Foundation for Research and Technology-Hellas (Greece)
Jorge Ripoll, Univ. Carlos III de Madrid (Spain)
Giannis Zacharakis, Foundation for Research and Technology-Hellas (Greece)


Published in SPIE Proceedings Vol. 9538:
Diffuse Optical Imaging V
Hamid Dehghani; Paola Taroni, Editor(s)

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