Online object oriented Monte Carlo computational tool for the needs of biomedical optics

Abstract

Conceptual engineering design and optimization of laser-based imaging techniques and optical diagnostic systems used in the field of biomedical optics requires a clear understanding of the light-tissue interaction and peculiarities of localization of the detected optical radiation within the medium. The description of photon migration within the turbid tissue-like media is based on the concept of radiative transfer that forms a basis of Monte Carlo (MC) modeling. An opportunity of direct simulation of influence of structural variations of biological tissues on the probing light makes MC a primary tool for biomedical optics and optical engineering. Due to the diversity of optical modalities utilizing different properties of light and mechanisms of light-tissue interactions a new MC code is typically required to be developed for the particular diagnostic application. In current paper introducing an object oriented concept of MC modeling and utilizing modern web applications we present the generalized online computational tool suitable for the major applications in biophotonics. The computation is supported by NVIDEA CUDA Graphics Processing Unit providing acceleration of modeling up to 340 times.

Raman signal enhancement via elastic light scattering

“…It takes into account elastic scattering, linear absorption, and spontaneous Raman scattering. This differs from previous models, in that we use a small fixed step size allowing us to look at both the low scattering and high scattering regimes [15]. We demonstrate that increased elastic scattering leads to an enhancement of the Raman signal in both, the forward (transmission) and backward (reflection) directions.…”

Peer-to-peer Monte Carlo simulation of photon migration in topical applications of biomedical optics

“…[13][14][15][16] Based on the next CUDA generation, so-called architecture code Fermi, introduced in 2010, a new concept of MC model utilizing object-oriented programming (OOP) and GPU acceleration has been proposed. 17 The OOP approach allows describing photon packets and the structural components of biological tissues (e.g., layers, vessels, tumors, cells, collagen fiber, etc.) as objects.…”

Hyperspectral system for Imaging of skin chromophores and blood oxygenation

“…A CUDA-based Monte-Carlo distributed computing platform was used for routine simulation of diffuse reflectance spectra of skin, as well as their variations associated with possible physiological changes in the human skin. 13 The differences in the spatial distribution of blood, melanin, oxygen saturation of blood, hematocrit, water content within the skin, as well as the numerical aperture and the angle of the detector positioning on the skin surface were taken into account. To model the diffuse reflectance spectra, a sevenlayer model of skin was used.…”