Monte Carlo Simulation of Biological Tissues with Polarized Laser Radiation, Using Parallel Computing Algorithm

The distribution of light in tissues can be modeled using Monte Carlo simulations. The photon transport equation for diagnostic and treatment of cancer, skin lesions and invasive malignant diseases are modeled through Monte Carlo algorithm. This process provides a noninvasive, non-radioactive and simple method for treatment, which replace the traditional techniques. The main purpose of this study is to simulate the light pulse transport inside the absorbing and scattering media such as biological tissues. The results for the rectangular finite thickness configuration have modeled. The major advantage of MC method is its flexibility and simplicity to simulate the photon movement in arbitrary geometry and complex boundary condition. As MC method is inversely proportional to the square root of the number of statistical samplings, it requires a large number of samples to reach the satisfactory accuracy. Therefore, the primary drawback of MC methods is that it is a computationally intensive method. However, the method is very adaptable to parallel computing. Parallel computing is introduced to improve the performance of this method. We used massage passing interface (MPI), it is a library of subprograms. It is chosen as a tool to implement parallel programming for its portability to other similar systems and the very low cost compared to the conventional supercomputer systems. Monte Carlo simulation into tissues medium is translated into simple expression based on rectangular geometry. It provides a convenient process for calculation of internal flux distribution.