Validation of a new algorithm for the recovery of optical properties from turbid samples: GA-MCML against IAD program
2011
Determining optical properties of turbid media has been performed by many research groups using a technique
based on iteratively solving the radiative transport equation using the adding doubling technique (IAD). We
present a new, alternative method, GA-MCML, for determining optical properties based on a Monte Carlo tech-
nique for radiative transport (MCML) guided by a genetics algorithm. The Monte Carlo method is more
exible
than the adding-doubling technique and can be adapted to a wider range of sample geometries. The genetic
algorithm is a robust search technique that is well-adapted to avoiding the local minima in this optimization
problem. GA-MCML, has been implemented by modifying the MCML source code to account for two common
experimental problems: light losses due to the nite sample size and non-linear integrating sphere eects using
Mott's equations. GA-MCML was validated by comparing with IAD method for data acquired at 632.8 nm
on a set of phantoms using a single integrating sphere system. The GA-MCML results were equivalent to the
IAD technique.
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