Perturbation and differential Monte Carlo methods for measurement of optical properties in a layered epithelial tissue model

J Biomed Opt. 2007 Jan-Feb;12(1):014030. doi: 10.1117/1.2697735.

Abstract

The use of perturbation and differential Monte Carlo (pMC/dMC) methods in conjunction with nonlinear optimization algorithms were proposed recently as a means to solve inverse photon migration problems in regionwise heterogeneous turbid media. We demonstrate the application of pMC/dMC methods for the recovery of optical properties in a two-layer extended epithelial tissue model from experimental measurements of spatially resolved diffuse reflectance. The results demonstrate that pMC/dMC methods provide a rapid and accurate approach to solve two-region inverse photon migration problems in the transport regime, that is, on spatial scales smaller than a transport mean free path and in media where optical scattering need not dominate absorption. The pMC/dMC approach is found to be effective over a broad range of absorption (50 to 400%) and scattering (70 to 130%) perturbations. The recovery of optical properties from spatially resolved diffuse reflectance measurements is examined for different sets of source-detector separation. These results provide some guidance for the design of compact fiber-based probes to determine and isolate optical properties from both epithelial and stromal layers of superficial tissues.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Birefringence
  • Computer Simulation
  • Epithelium / physiology*
  • Image Interpretation, Computer-Assisted / methods*
  • Light
  • Microscopy, Polarization / instrumentation
  • Microscopy, Polarization / methods*
  • Models, Biological*
  • Monte Carlo Method
  • Nephelometry and Turbidimetry / instrumentation
  • Nephelometry and Turbidimetry / methods*
  • Phantoms, Imaging
  • Refractometry / instrumentation*
  • Refractometry / methods*
  • Reproducibility of Results
  • Scattering, Radiation
  • Sensitivity and Specificity