Premium
Forced Detection Monte Carlo Algorithms for Accelerated Blood Vessel Image Simulations
Author(s) -
Fredriksson Ingemar,
Larsson Marcus,
Strömberg Tomas
Publication year - 2009
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.200810048
Subject(s) - monte carlo method , variance reduction , detector , photon , algorithm , computer science , optics , physics , mathematics , statistics
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 FD 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. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)