Polarized Monte-Carlo simulation for the study of skin cancer

In the medical field, the 'optical biopsy' is considered the primary diagnostic application of light. Tissue abnormalities, such as cancerous growth, introduce changes in the target tissue's optical properties. The Polarized Monte Carlo (PMC) simulation applied to specific tissue models acts as a tool for observing these changes and helps monitor them in conjunction with experiments. In this work, we have performed PMC simulations on two-layered skin tissue models and compared the Mueller matrix parameters for normal and skin cancer conditions. These simulations are expected to help design diagnostic instruments for anomalies such as melanoma in situ.