Simulation of polarization-sensitive optical coherence tomography images by a Monte Carlo method

Opt Lett. 2008 Jul 15;33(14):1581-3. doi: 10.1364/ol.33.001581.

Abstract

We introduce a new Monte Carlo (MC) method for simulating optical coherence tomography (OCT) images of complex multilayered turbid scattering media. We demonstrate, for the first time of our knowledge, the use of a MC technique to imitate two-dimensional polarization-sensitive OCT images with nonplanar boundaries of layers in the medium like a human skin. The simulation of polarized low-coherent optical radiation is based on the vector approach generalized from the iterative procedure of the solution of Bethe-Saltpeter equation. The performances of the developed method are demonstrated both for conventional and polarization-sensitive OCT modalities.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Data Interpretation, Statistical
  • Equipment Design
  • Humans
  • Image Enhancement
  • Microscopy, Polarization / instrumentation*
  • Microscopy, Polarization / methods
  • Models, Statistical
  • Monte Carlo Method
  • Nephelometry and Turbidimetry
  • Optics and Photonics
  • Photons
  • Scattering, Radiation
  • Skin / pathology*
  • Tomography, Optical Coherence / instrumentation*
  • Tomography, Optical Coherence / methods