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Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware.

Shijie Yan1, Douglas Dwyer1, David R Kaeli1

  • 1Northeastern University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States.

Journal of Biomedical Optics
|March 23, 2026
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Summary
This summary is machine-generated.

This study introduces RT-MMC, a faster method for simulating light-tissue interactions using hardware-accelerated ray tracing. This innovation significantly speeds up Monte Carlo simulations for biophotonics applications.

Keywords:
Mesh-based Monte CarloMonte Carlo methodcomputer graphicsgraphics processing unitlight transportray-tracing

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Area of Science:

  • Biomedical Optics
  • Computational Physics
  • Medical Imaging

Background:

  • Monte Carlo (MC) methods are accurate for light-tissue interaction modeling.
  • Mesh-based MC (MMC) uses tetrahedral meshes for precision but is computationally intensive.
  • Ray-boundary intersection tests limit MMC speed, even on GPUs.

Purpose of the Study:

  • To develop a highly accelerated MMC algorithm (RT-MMC).
  • To leverage GPU ray-tracing cores (RT-cores) for enhanced performance.
  • To simplify MMC workflows and improve simulation practicality.

Main Methods:

  • Implemented RT-MMC using NVIDIA's OptiX platform.
  • Extended graphics ray-tracing pipelines for volumetric ray-tracing in turbid media.
  • Eliminated the need for tetrahedral mesh generation.

Main Results:

  • RT-MMC achieved 1.5× to 4.5× speedups across GPU architectures.
  • Demonstrated excellent agreement with traditional software-based MMC.
  • Supported wide-field sources without mesh retessellation.

Conclusions:

  • Hardware-accelerated ray tracing significantly simplifies MMC workflows.
  • RT-MMC enhances the practicality of MMC for routine simulations.
  • Adoption of ray-tracing pipelines benefits biophotonics applications.