Open Access
6 September 2012 Peer-to-peer Monte Carlo simulation of photon migration in topical applications of biomedical optics
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Abstract
In the framework of further development of the unified approach of photon migration in complex turbid media, such as biological tissues we present a peer-to-peer (P2P) Monte Carlo (MC) code. The object-oriented programming is used for generalization of MC model for multipurpose use in various applications of biomedical optics. The online user interface providing multiuser access is developed using modern web technologies, such as Microsoft Silverlight, ASP.NET. The emerging P2P network utilizing computers with different types of compute unified device architecture-capable graphics processing units (GPUs) is applied for acceleration and to overcome the limitations, imposed by multiuser access in the online MC computational tool. The developed P2P MC was validated by comparing the results of simulation of diffuse reflectance and fluence rate distribution for semi-infinite scattering medium with known analytical results, results of adding-doubling method, and with other GPU-based MC techniques developed in the past. The best speedup of processing multiuser requests in a range of 4 to 35 s was achieved using single-precision computing, and the double-precision computing for floating-point arithmetic operations provides higher accuracy.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Alexander Doronin and Igor Meglinski "Peer-to-peer Monte Carlo simulation of photon migration in topical applications of biomedical optics," Journal of Biomedical Optics 17(9), 090504 (6 September 2012). https://doi.org/10.1117/1.JBO.17.9.090504
Published: 6 September 2012
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CITATIONS
Cited by 60 scholarly publications.
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KEYWORDS
Monte Carlo methods

Biomedical optics

Photon transport

Tissues

Computer architecture

Visualization

Computer simulations

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