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28 June 1994 Inverse Monte Carlo method for spectrophotometric data processing
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Abstract
An inverse Monte Carlo technique for determination of optical properties of tissues (absorption coefficient, scattering coefficient and anisotropy factor) from spectrophotometric measurements (total transmittance, diffuse reflectance and collimated transmittance) is developed. This technique enables to take into account 2D-geometry of experiment, finite sizes of incident beam and ports of integrating sphere, boundary conditions and sideway losses of light. We performed comparison of inverse Monte Carlo results with predictions of the Kubelka-Munk theory for model media, so estimating validity area of the Kubelka-Munk theory for spectrophotometric data processing. Value of the sideway losses for model media has been evaluated. An example of use of the inverse Monte Carlo technique for tissue properties determination is presented.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ilya V. Yaroslavsky and Valery V. Tuchin "Inverse Monte Carlo method for spectrophotometric data processing", Proc. SPIE 2100, Cell and Biotissue Optics: Applications in Laser Diagnostics and Therapy, (28 June 1994); https://doi.org/10.1117/12.179027
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