Global Cutting-Edge Interdisciplinary Research: Biomedical Optical Imaging and Monte Carlo Particle Simulation

Biomedical optical imaging represents one of the world's newest interdisciplinary fields, integrating knowledge and technologies from both biomedical science and optics. A core technique in biomedical optical imaging is Monte Carlo particle simulation, a widely adopted computational method that models photon propagation and interaction processes within biological tissues. This simulation approach typically involves tracking individual photon packets through tissue layers while accounting for scattering events, absorption coefficients, and anisotropy factors using randomized sampling techniques. Through Monte Carlo simulations, researchers can calculate and analyze various optical characteristics of light in biological tissues, including penetration depth, fluence distribution, and energy deposition patterns. The implementation often utilizes statistical methods and probability distributions to simulate photon trajectories, with key functions handling optical property definitions, boundary conditions, and tissue layer configurations. These computational results provide essential support and guidance for both research and practical applications in biomedical optical imaging, enabling accurate modeling of light-tissue interactions for diagnostic and therapeutic purposes.