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We herein present our approach that uses a customized version of the Monte Carlo Multi-Layer Algorithm (MCML)1 to simulate the radiation propagation through biological tissues. We assumed a set of optical properties for each tissue and simulated the above mentioned measurements in silico. A comparison was then done between the results of the simulation and the results of real measurements.2 Further, an optimization algorithm searched the set of optical properties that best fit the real optical properties of each tissue. This algorithm was based on adaptions of the Monte-Carlo Simulated Annealing algorithm3 and the Downhill Simplex algorithm4 We implemented the MCML using NVidias CUDA application programming interface to speed up the optimization procedure. We validated the software by using van de Hulsts table for Henyey-Greenstein scattering.2 A linear regression resulted in coefficients of determination between 0.929 and 0.973 for the optical properties. Our results prove that our algorithm can be effectively used for the determination of the optical properties of turbid media. One first application for this software is the support in the development of a new generation of hearing devices based on optical energy. |
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Monte Carlo methods
Optical properties
Computer simulations
Optimization (mathematics)
Algorithms
Visualization
Scattering
