Reconstruction of object location for diffuse fluorescence tomography on the basis of hybrid models of light scattering in biotissues
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We propose a new method for reconstructing the spatial distribution of fluorophore in a highly scattering object from its images obtained by the method of diffuse fluorescence tomography. This method is intended for diagnostics of the fluorophore-marked tumors and is based on the algebraic-reconstruction principle combined with a new theoretical model and simulation of light propagation in randomly scattering media, such as biotissues, by the Monte Carlo method. The model experiments show that for 18-mm thick objects, the developed method allows one to determine location of the geometric center of a fluorescent inhomogeneity and its transverse and longitudinal dimensions with accuracies of up to 0.5 and 1.5 mm, respectively.
Keywords
Monte Carlo Method Point Spread Function Light Propagation Reconstruction Accuracy Algebraic Reconstruction Technique
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References
- 1.V. Ntziachristos, C. H. Tung, C. Bremer, and R. Weissleder, Nat. Med., 8, No. 7, 757 (2002).CrossRefGoogle Scholar
- 2.M. Busse and P.W. Vaupel, Acta Oncologica, 34, No. 3, 405 (1995).CrossRefGoogle Scholar
- 3.E. M. Treshchalina, O. S. Zhukova, and G.K. Gerasimova, in: R.U. Khabriev, ed., Methodical Instructions on the Study of Antitumoral Activity of Pharmaceutical Substances. Guidelines for Experimental (Preclinical) Study of New Pharmaceutical Substances [in Russian], Meditsina, Moscow (2005).Google Scholar
- 4.M.Yu. Kirillin, I.V. Turchin, I. I. Fiks, and M. S. Kleshnin, Technique for Determining the Spatial Resolution during Visualization of the Internal Structure of the Scattering Objects by the Method of Diffuse Fluorescence tomography, Met. GSSSD ME 159-2009 (2009).Google Scholar
- 5.I.P. Gurov and E. A. Vorob’eva, Problems of Coherent and Nonlinear Optics [in Russian], Inst. Theor. Mech. Opt., St.Petersburg Univ., St.Petersburg (2006), p. 82.Google Scholar
- 6.A. Ishimaru, Wave Propagation and Scattering in Random and Inhomogeneous Media, Academic Press., New York (1978).Google Scholar
- 7.V. V. Tuchin, Optical Biomedical Diagnostics, Vol. 1 [in Russian], Fizmatlit, Moscow (2007).Google Scholar
- 8.V. V. Tuchin, Lasers and Fiber Optics in Medical Studies [in Russian], Saratov Univ. Press, Saratov (1998).Google Scholar
- 9.I.V. Shutov, Diffuse Optical Tomography of Strongly Scattering Objects on the Basis of the Fast Algorithm for Projection Reconstruction of Internal Structure [in Russian], Moscow State Univ., Moscow (2002).Google Scholar
- 10.A. Soubret and V.Ntziachristos, Phys. Med. Biol., 51, No. 16, 3983 (2006).CrossRefGoogle Scholar
- 11.M. Gao, G. Lewis, G. M. Turner, et al., Appl. Opt., 44, No. 26, 5468 (2005).ADSCrossRefGoogle Scholar
- 12.L. S. Dolin and E.A. Sergeeva, Radiophys. Quantum Electron., 44, No. 11, 858 (2001).CrossRefGoogle Scholar
- 13.G. A. Korn and T.M. Korn, Mathematical Handbook for Scientists and Engineers, McGraw-Hill, New York (1968).Google Scholar
- 14.W.F. Cheong, S.A. Prahl, and A. J. Welch, IEEE J. Quantum Electron., 26, 2166 (1990).ADSCrossRefGoogle Scholar
- 15.A.T. Kumar, S. B. Raymond, G. Boverman, et al., Opt. Express, 14, No. 25, 12255 (2006).ADSCrossRefGoogle Scholar
- 16.S. Lam, F. Lesage, and X. Intes, Opt. Express, 13, No. 7, 2263 (2005).ADSCrossRefGoogle Scholar
- 17.V. Ntziachristos and R. Weissleder, Opt. Lett., 26, No. 12, 893 (2001).ADSCrossRefGoogle Scholar
- 18.E. A. Sergeeva and M. Y. Kirillin, Proc. SPIE, 7369, 73690H-6 (2009).Google Scholar
- 19.É.P. Zege, A.P. Ivanov, and I. L. Katsev, Image Transfer in a Scattering Medium [in Russian], Nauka i Tekhnika, Minsk (1985).Google Scholar
- 20.I. M. Sobol’, Numerical Monte Carlo Methods [in Russian], Nauka, Moscow (1973).Google Scholar
- 21.L. Wang, S. L. Jacques, and L. Zheng, Comp. Meth. Programs Biomed., 47, No. 2, 131 (1995).CrossRefGoogle Scholar
- 22.L. Wang, S. L. Jacques, and L. Zheng, Comp. Meth. Programs Biomed., 54, No. 3, 141 (1997).CrossRefGoogle Scholar
- 23.A. V. Bykov, M.Yu. Kirillin, and A. V. Priyezzhev, Opt. Spectrosc., 101, 33 (2006).ADSCrossRefGoogle Scholar
- 24.I. I. Fiks and M.Yu. Kirillin, in Calculations using Graphical Processors in Molecular Biology and Bioinformatics [in Russian], Moscow State Univ., Moscow (2010).Google Scholar
- 25.C. Byrne, IEEE Trans. Image Process., 14, No. 3, 321 (2005).MathSciNetADSCrossRefGoogle Scholar
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