Estimation of Photon Distribution within Biological Tissue Using Monte Carlo Simulation
Journal Title: Biomedical Journal of Scientific & Technical Research (BJSTR) - Year 2017, Vol 1, Issue 4
Abstract
This paper proposes a method of accurate light distribution using the Monte Carlo Simulation. In a Photodynamic Therapy (PDT), accurate light penetration depths are especially important as it is to be expected that applying too little light or too much light could result in inadequate tumor cell kill. The basic theory of this method is statistical iteration of simulation at phantom medium and can model any complex condition in biological tissues without any kind of tool. We performed Monte Carlo simulation with phantom layer having the optical properties of biological tissues. In this result, we could obtained the acceptable light dosimetry in biological phantom. Monte Carlo simulation is very powerful approaching model in radiation transfer for solving a variety of physical and mathematical problems. Recently, Photodynamic therapy (PDT) method becomes one of the methods to treat cancer using light. It is necessary to measure the light dosimetry in tissue to apply PDT for cancer to patient. To measure light dosimetry accurately, One must understand the light propagation in tissue and simulate with optical properties of target tissue. Optical coefficients are basically three interaction coefficients: absorption coefficient (μa), scattering coefficient (μs) and phase function [1-4]. It is very important to measure the correct optical properties in biological tissue to execute Monte Carlo simulation. If one want to perform with correct optical properties in simulation, he should have to measure the light doses in biological tissue. In this study, we simulated Monte Carlo simulation with multi-layered phantoms, having the optical properties in biological tissue, to evaluate the light fluence profile.
Authors and Affiliations
Hyun Soo Lim, Necla Kenar
Keywords
Related Articles
- EP ID EP570057
- DOI 10.26717/BJSTR.2017.01.000357
- Views 203
- Downloads 0
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