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Empirical model for target depth estimation used in the time-domain subsurface imaging.

Miloš Sormaz1, Patrick Jenny

  • 1Laboratory for Media Technology, Swiss Federal Laboratories for Materials Science and Technology (EMPA), 8600 Dübendorf, Switzerland. milos.sormaz@empa.ch

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
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PubMed
Summary

Monte Carlo simulations reveal a new method for estimating target depth in biomedical optics. Spatially resolved reflectance measurements in the time domain enable depth estimation using average photon trajectories in multiply scattered light.

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Area of Science:

  • Biomedical Optics
  • Computational Physics

Background:

  • Biomedical optical imaging often uses phantoms to mimic biological tissues.
  • Characterizing scattering and absorption properties is crucial for accurate imaging.
  • Traditional diffuse optical imaging methods struggle with highly anisotropic scattering media.

Purpose of the Study:

  • To investigate reflectance measurements using Monte Carlo simulations for phantoms.
  • To develop a novel reconstruction method for targets in multiply scattered light.
  • To estimate target depth using time-resolved spatially resolved reflectance.

Main Methods:

  • Monte Carlo simulations were employed to model light transport in phantoms.
  • Simulations used both unpolarized and circularly polarized incident light.
  • Phantoms contained spherical targets with higher absorption, detected via a coaxial setup.

Main Results:

  • Reflectance measurements were obtained for various target depths and diameters.
  • The study focused on the multiple-scattering regime due to anisotropic scattering.
  • A novel reconstruction method based on average photon trajectories was developed.

Conclusions:

  • Spatially resolved reflectance measurements in the time domain are effective for depth estimation.
  • The developed method overcomes limitations of diffuse optical imaging in anisotropic media.
  • Average photon trajectories provide a viable approach for target localization in turbid phantoms.