Monte Carlo Modeling of Light Transport in Tissue (Steady State and Time of Flight)
Monte Carlo simulations are a fundamental and versatile approach toward modeling light transport in tissues. While diffusion theory for light transport is a fast and convenient way to model light transport, it fails when close to sources or boundaries and when absorption is strong compared to scattering; in other words, whenever conditions cause the gradient of fluence rate (or photon concentration) to not be simply linear but to have some curvature. Monte Carlo steps in to treat problems when diffusion theory fails. Figure 5.1 illustrates a Monte Carlo simulation.
KeywordsMonte Carlo Simulation Fluence Rate Diffusion Theory Light Transport Photon Propagation
- 3.Prahl, SA, Keijzer, Jacques SL, and Welch AJ. A Monte Carlo model of light propagation in tissue. In: G Müller and D Sliney (eds) Dosimetry of laser radiation in medicine and biology, SPIE Series, Vol. IS 5, pp. 102–111 (1989).Google Scholar
- 5.Jacques, SL, http://omlc.ogi.edu/software/mc/mcml, Oregon Health & Science University, 2010. This site includes a 178-page manual on MCML. Also, a convolution program, CONV, is available for convolving the point spread functions generated by MCML.
- 6.Wang LV. Monte Carlo Simulation Package. Modeling of Photon Transport in Multi-layered Tissues (Release 5: MCML 1.2.2 & CONV 1.1). http://labs.seas.wustl.edu/bme/Wang/mc.html, 2010.
- 8.Jacques SL. mc321.c. Simple steady-state Monte Carlo program in spherical, cylindrical and planar coordinates (using ANSI standard C). http://omlc.ogi.edu/software/mc/mc321/index.html, 2007.
- 9.Jacques SL. Monte Carlo simulations of fluorescence in turbid media, Ch. 6. In: MA Mycek and BW Pogue (eds) Handbook of biomedical fluorescence. Marcel-Dekker, New York, NY (2003).Google Scholar
- 10.Jacques, SL, http://omlc.ogi.edu/software/mc/mcsub, Oregon Health & Science University, 2010. This site lists the subroutine mcsub() that can be called by c programs to run a Monte Carlo simulation.
- 12.Ramella-Roman JC. Polarized light Monte Carlo. http://omlc.ogi.edu/software/polarization/index.html, 2005.