Monte Carlo methods for light propagation in biological tissues

作者: Laura Vinckenbosch , Céline Lacaux , Samy Tindel , Magalie Thomassin , Tiphaine Obara

DOI: 10.1016/J.MBS.2015.08.017

关键词: Monte Carlo method in statistical physicsMonte Carlo molecular modelingData miningComputer scienceHybrid Monte CarloStatistical physicsMarkov chain Monte CarloMonte Carlo integrationQuasi-Monte Carlo methodMonte Carlo methodDynamic Monte Carlo method

摘要: Light propagation in turbid media is driven by the equation of radiative transfer. We give a formal probabilistic representation its solution framework biological tissues and we implement algorithms based on Monte Carlo methods order to estimate quantity light that received homogeneous tissue when emitted an optic fiber. A variance reduction method studied implemented, as well Markov chain Metropolis–Hastings algorithm. The resulting estimating are then compared so-called Wang–Prahl (or Wang) method. Finally, allows derive non-linear optimization algorithm close Levenberg–Marquardt used for estimation scattering absorption coefficients from measurements.

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