Probing depth in diffuse optical spectroscopy and structured illumination imaging: a Monte Carlo study

  • Loginova D
  • Sergeeva E
  • Fiks I
  • et al.
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Abstract

Diffuse optical spectroscopy (DOS) and its modification employing structured illumination are widely used in monitoring biotissue oxygenation. In such measurements it is important to know the probing volume for definite source-detector configuration; however, it cannot be measured directly. Monte Carlo simulations allow to trace the probing depth of each individual photon contributing to the signal, which provides a numerical solution for this problem. In this study we investigate distributions of photons over maximal depth reached in turbid media (probing depth) with optical parameters typical for cutaneous tissues at the wavelength of 600 nm. Different configurations of probing illumination are considered, such as collimated point source, one-dimension sinusoidal and rectangular patterns. For collimated point source and zero source-detector separation the number of collected photons monotonously decreases with the probing depth while a pronounced maximum in the distribution is manifested with the increase of source-detector separation. The position of this maximum shifts to higher depths with the decrease of µ a . For one-direction sinusoidal and rectangular illumination patterns it is shown that when the photons are collected near the center of a bright stripe, the peak of the distribution remains close to the surface. When the photons are collected near the center of a dark stripe the peak shifts towards higher depths with the decrease in spatial duty cycle and spatial frequency of the illumination pattern. Employment of rectangular illumination pattern seems more efficient for DOS applications due to wider abilities for controlling probing depth.

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Loginova, D., Sergeeva, E., Fiks, I., & Kirillin, M. (2017). Probing depth in diffuse optical spectroscopy and structured illumination imaging: a Monte Carlo study. Journal of Biomedical Photonics & Engineering, 3(1), 010303. https://doi.org/10.18287/jbpe17.03.010303

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