The Model of Optical Radiation Propagation in Tissue

Автори

The paper shows the relevance of developing the model of optical radiation propagation in tissue that will further implementatation of calculation engineering methods of optical radiation intensity distribution in tissues for surgical intervention or therapeutic effect. We propose the so called “three pulse” model of optical radiation propagation in tissue and method based on it. To calculate the coefficients of the model basic expression, we develop the three equation system. These equations describe the boundary conditions of optical radiation propagation in tissue. By using the Monte-Carlo simulation method and proposed engineering method we compare results of optical propagation in tissue for identical tissue optical parameters. These results correlate with the mean square modelling error (within 15 %) for other analytical models. The proposed calculation engineering method for optical radiation intensity distribution in tissue may be alternative for Monte-Carlo simulation method with considerable calculation simplification and calculating time reduction.

Publication year: 
2013
Issue: 
1
УДК: 
615.849.5
С. 89–93. Іл. 3. Бібліогр.: 12 назв.
References: 

1. A.E. Profio and D.R. Doiron, “Transport of light in tissue in photodynamic therapy”, Photochemistry and Photobiology, vol. 46, no. 5, pp. 591—599, 1987.
2. W.M. Star, “Comparing the P3-approximation with diffusion theory and with Monte-Carlo calculation of light propagation in a slab geometry”, Proc. SPIE, vol. 5, pp. 146—154, 1989.
3. L. Wang and S.L. Jacques, Monte Carlo modeling of light transport in multi-layered tissues in standard C, University of Texas M.D. Anderson Cancer Center, 1992, 179 p.
4. J.L. Sandell et al., “A study of fluence rate distribution for PDT using MC simulation”, Proc. SPIE, vol. 7886, p. 788619, 2011.
5. Y.P. Kumar and R.M. Vasu, “Reconstruction of optical properties of low-scattering tissue using derivative estimated through perturbation Monte-Carlo method”, J. Biomed. Optics, vol. 9, no. 5, pр. 1002—1012, 2004.
6. L.L. Randeberg et al., “Performance of diffusion theory vs. Monte Carlo methods”, Proc. SPIE, vol. 5862, pp. 137— 144, 2005.
7. D. Arifler et al., “Spatially resolved reflectance spectroscopy for diagnosis of cervical precancer: Monte Carlo modeling and comparison to clinical measurements”, J. Biomed. Optics, vol. 11, no. 6, p. 064027, 2006.
8. S.L. Jacques, “Simple optical theory for the light dosimetry during PDT”, Proc. SPIE, vol. 1645, pp. 155— 165, 1992.
9. S.T. Flock et al., “Monte-Carlo modeling of light propagation in highly scattering tissues — I: Model predictions and comparison with diffusion theory”, IEEE Trans. Biomed. Eng., vol. 36, no. 12, pp. 1162—1168, 1989.
10. A. Kim et al., “Quantification of in vivo fluorescence decoupled from the effects of tissue optical properties using fiber-optic spectroscopy measurements”, J. Biomed. Optics, vol. 15, no. 11, p. 067006, 2010.
11. J. Lai et al., “A computational model for light transporting in biological tissues irradiated by converging laser beam”, Proc. SPIE, vol. 5630, pp. 563—570, 2005.
12. S.K. Chang et al., “Analytical model to describe fluorescence spectra of normal and preneoplastic epithelial tissue: comparision with Monte-Carlo simulations and clinical measurements”, J. Biomed. Optics, vol. 9, no. 3, pp. 511—522, 2004.

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