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Parallelized Monte Carlo software to efficiently simulate the light propagation in arbitrarily shaped objects and

Christian Johannes Zoller1, Ansgar Hohmann1, Florian Foschum1

  • 1Ulm university, Institute for Laser Technologies in Medicine and Metrology, Ulm, Germany.

Journal of Biomedical Optics
|June 24, 2018
PubMed
Summary

A new GPU-based software, MCtet, simulates light propagation in complex objects like teeth. It offers a hundredfold speedup and reveals how dental tubules significantly impact light transmission and oxygen saturation sensitivity.

Keywords:
Monte Carlo simulationanisotropic light propagationparallelizationray tracing

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Area of Science:

  • Biophotonics
  • Computational Modeling
  • Medical Imaging

Background:

  • Accurate simulation of light propagation in biological tissues is crucial for understanding optical properties and developing diagnostic tools.
  • Existing Monte Carlo methods can be computationally intensive, limiting their application to complex geometries and dynamic scenarios.
  • Human teeth present a complex structure with varying optical properties, necessitating specialized simulation approaches.

Purpose of the Study:

  • To develop and validate a GPU-based Monte Carlo software (MCtet) for simulating light propagation in arbitrarily shaped objects, specifically human teeth.
  • To investigate the impact of anisotropic light propagation, particularly due to dental tubules, on light transmission spectra and sensitivity to pulp oxygen saturation.
  • To explore novel optical phenomena, such as light guiding effects in dental enamel.

Main Methods:

  • Development of MCtet, a GPU-accelerated Monte Carlo software utilizing tetrahedral meshes to represent object geometry.
  • Implementation of a flexible light source concept allowing illumination of complex surfaces without preprocessing.
  • Validation of MCtet against five established Monte Carlo software packages and comparison with CPU-based program performance.

Main Results:

  • MCtet achieved a hundredfold acceleration compared to CPU-based Monte Carlo simulations.
  • The software accurately simulated light propagation, including photons re-entering concave surfaces.
  • Anisotropic light propagation, influenced by dental tubules, significantly affected tooth transmission spectra and increased sensitivity to pulp oxygen saturation.
  • A light guiding effect in enamel, attributed to low scattering and high refractive index, was identified.

Conclusions:

  • MCtet provides an efficient and accurate tool for simulating light propagation in complex biological structures like human teeth.
  • Considering anisotropic light propagation, especially dental tubules, is essential for precise optical modeling of teeth and accurate assessment of pulp conditions.
  • The developed software enables the study of complex light-tissue interactions and the discovery of novel optical phenomena in biological materials.