ECE532 Biomedical Optics © 1998 Steven L. Jacques, Scott A. Prahl Oregon Graduate Institute

LECTURE:

• Introduction

  • Introduction
  • Sampling of probability density functions
  • Example of sampling: a Gaussian laser beam profile
  
  

• Time-resolved Monte Carlo simulation

  • Introduction
  • Relative concentration and fluence rate
  • Separation of variables
    • "trmc.c", time-resolved Monte Carlo
    • Definitions and variables
    • User settings of variables
    • Initialize
    • Run
      • Launch photon
      • Hop/Drop photon to new position
      • Spin photon into new trajectory (scattering)
      • Check if photon is still ALIVE
    • Save results into output file, "trmc.out"
    • Example output figure of "trmc.out"
  
  

• Steady-state Monte Carlo simulation

  • A minimal Monte Carlo program: mc321.c
  • Introduction
  • Header statements
  • Definitions of variables and arrays
  • User settings
    • Launching photon
    • Moving a photon through tissue
    • Photon hops to new position
    • Photon drops some photon weight (absorption)
    • Photon spins into new trajectory (scattering)
    • Terminate a photon by "roulette"
  • Save bin arrays as output file
  • Example output figure

LAB:

• Monte Carlo simulations in computer lab