Inverse Monte Carlo method for spectrophotometric data processing

Ilya V. Yaroslavsky; Valery V. Tuchin

doi:10.1117/12.179027

28 June 1994 Inverse Monte Carlo method for spectrophotometric data processing

Proceedings Volume 2100, Cell and Biotissue Optics: Applications in Laser Diagnostics and Therapy; (1994) https://doi.org/10.1117/12.179027
Event: Volga Laser Tour '93, 1993, Moscow, Russian Federation

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.

Citation Download Citation

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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