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 physics 、 Monte Carlo molecular modeling 、 Data mining 、 Computer science 、 Hybrid Monte Carlo 、 Statistical physics 、 Markov chain Monte Carlo 、 Monte Carlo integration 、 Quasi-Monte Carlo method 、 Monte Carlo method 、 Dynamic 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.