GPU-Accelerated Monte Carlo Simulation and Experimental Study of Radiative Transfer in Multiple Scattering Media
Binhan Wang, Peng Sun, Gao Wang, Haijian Liang, Jinge Guan, Xiaohang Dong, Xiuhao Du, Ruichen Liu

TL;DR
This paper introduces a GPU-accelerated Monte Carlo model using rigorous Mie scattering theory to improve the accuracy of simulating light scattering in complex media, validated through experiments with microspheres.
Contribution
It replaces the H-G phase function with Mie scattering in a GPU-accelerated Monte Carlo framework, enabling more precise modeling of multiple scattering effects in complex media.
Findings
Mie-based phase functions outperform H-G approximation in accuracy
GPU acceleration significantly reduces simulation time
Experimental validation confirms model reliability
Abstract
Addressing the problem of photon multiple scattering interference caused by turbid media in optical measurements, biomedical imaging, environmental monitoring and other fields, existing Monte Carlo light scattering simulations widely adopt the Henyey-Greenstein (H-G) phase function approximation model. However, traditional computational resource limitations and high numerical complexity have constrained the application of precise scattering models. Moreover, the single-parameter anisotropy factor assumption neglects higher-order scattering effects and backscattering intensity, failing to accurately characterize the multi-order scattering properties of complex media. To address these issues, we propose a GPU-accelerated Monte Carlo-Rigorous Mie scattering transport model for complex scattering environments. The model employs rigorous Mie scattering theory to replace the H-G…
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Taxonomy
TopicsOptical Imaging and Spectroscopy Techniques · Radiative Heat Transfer Studies
