MMCL

MMCL simulates photon transport in 3-D complex tissues using Mesh-based Monte Carlo (MMC) with OpenCL-accelerated heterogeneous GPU/CPU parallelization for high-performance biophotonics modeling.

Key Features:

• GPU Acceleration with OpenCL: Uses OpenCL to execute on GPUs and CPUs, achieving up to 420× speedup compared to single-threaded CPU simulations.
• Anatomical Accuracy with Tetrahedral Meshes: Employs tetrahedral meshes instead of multilayered or voxel-based representations to improve anatomical accuracy in tissue geometry modeling.
• Advanced Simulation Features: Supports complex source forms, wide-field detectors, boundary reflection, photon replay, and detailed photon information storage.
• Cross-Platform Compatibility: Operates across a wide range of GPUs and CPUs from various vendors via the OpenCL framework.

Scientific Applications:

• Non-invasive medical imaging: Enables high-fidelity modeling of photon transport for non-invasive medical imaging studies.
• Optical tomography: Supports simulations used in optical tomography to reconstruct tissue optical properties.
• Photodynamic therapy planning: Provides photon transport simulations relevant to photodynamic therapy planning.

Methodology:

Implements Monte Carlo random sampling on tetrahedral meshes and leverages OpenCL for parallel GPU/CPU execution to accelerate photon transport simulations.