Forced detection Monte Carlo algorithms for accelerated blood vessel image simulations

Two forced detection (FD) variance reduction Monte Carlo algorithms for image simulations of tissue-embedded objects with matched refractive index are presented. The principle of the algorithms is to force a fraction of the photon weight to the detector at each and every scattering event. The fractional weight is given by the probability for the photon to reach the detector without further interactions. Two imaging setups are applied to a tissue model including blood vessels, where the ID algorithms produce identical results as traditional brute force simulations, while being accelerated with two orders of magnitude. Extending the methods to include refraction mismatches is discussed. The principle of forced detection; a part of the photon weight. based on the probability of reaching the detector without further interactions, is forced to the detector at each and every scattering event.This is the pre-peer reviewed version of the following article:Ingemar Fredriksson, Marcus Larsson and Tomas Strömberg, Forced detection Monte Carlo algorithms for accelerated blood vessel image simulations, 2009, JOURNAL OF BIOPHOTONICS, (2), 3, 178-184.which has been published in final form at: http://dx.doi.org/10.1002/jbio.200810048Copyright: Wiley-Blackwel