MATLAB Implementation of Monte Carlo Algorithm for Photon Imaging Detection

This article presents a photon imaging detection method based on a Monte Carlo algorithm implemented in MATLAB. The approach employs advanced statistical sampling techniques to simulate numerous photon transport paths, enabling the generation of high-resolution images through probabilistic modeling of light propagation. The implementation leverages MATLAB's computational capabilities for efficient random number generation and vectorized operations, utilizing key functions like rand() for probability sampling and cumulative distribution functions for scattering events. The algorithm architecture includes modules for photon initialization, tissue interaction modeling (absorption and scattering), and detection probability calculation. The development environment of MATLAB provides essential toolboxes for numerical computation and visualization, facilitating code debugging through its integrated debugging tools and profile optimization features. This Monte Carlo-based photon imaging method represents a promising technology with significant potential applications in medical imaging, biological research, and various scientific fields where precise light-tissue interaction modeling is required.