Abstract

The speckle pattern of an optical coherence tomography (OCT) image carries potentially useful sample information that may assist in tissue characterization. Recent biomedical results in vivo indicate that the distribution of signal intensities within an OCT tissue image is well described by a log-normal-like (Gamma) function. To fully understand and exploit this finding, an OCT Monte Carlo model that accounts for speckle effects was developed. The resultant Monte Carlo speckle statistics predictions agree well with experimental OCT results from a series of control phantoms with variable scattering properties; the Gamma distribution provides a good fit to the theoretical and experimental results. The ability to quantify subresolution tissue features via OCT speckle analysis may prove useful in diagnostic photomedicine.

© 2014 Optical Society of America

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References

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[CrossRef]

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Biomed. Opt. Express (2)

Biometrika (1)

D. W. Scott, Biometrika 66, 605 (1979).
[CrossRef]

J. Biomed. Opt. (4)

G. Farhat, V. X. D. Yang, G. J. Czarnota, and M. C. Kolios, J. Biomed. Opt. 16, 026017 (2011).
[CrossRef]

Y. Yang, T. Wang, N. C. Biswal, X. Wang, M. Sanders, M. Brewer, and Q. Zhu, J. Biomed. Opt. 16, 090504 (2011).
[CrossRef]

K. W. Gossage, T. S. Tkaczyk, J. J. Rodriguez, and J. K. Barton, J. Biomed. Opt. 8, 570 (2003).
[CrossRef]

F. Bazant-Hegemark and N. Stone, J. Biomed. Opt. 13, 034002 (2008).
[CrossRef]

Lasers Med. Sci. (1)

F. Bazant-Hegemark and N. Stone, Lasers Med. Sci. 24, 627 (2009).
[CrossRef]

Opt. Express (1)

Opt. Lett. (4)

Phys. Med. Biol. (1)

G. Yao and L. V. Wang, Phys. Med. Biol. 44, 2307 (1999).
[CrossRef]

Quantum Electron. (2)

M. Y. Kirillin, I. V. Meglinski, and A. V. Priezzhev, Quantum Electron. 36, 247 (2006).
[CrossRef]

M. Yu. Kirillin, A. V. Priezzhev, and R. Myllylä, Quantum Electron. 38, 486 (2008).
[CrossRef]

Ultrasound Med. Biol. (1)

A. S. Tunis, G. J. Czarnota, A. Giles, M. D. Sherar, J. W. Hunt, and M. C. Kolios, Ultrasound Med. Biol. 31, 1041 (2005).
[CrossRef]

Other (1)

Mie Scattering Calculator, http://omlc.ogi.edu/calc/mie_calc.html (accessed on 21.02.2014).

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Figures (4)

Fig. 1.
Fig. 1.

Comparison of experimental (a)–(c) and simulated (d)–(f) OCT images for different concentrations of 0.5 μm diameter microspheres (samples 1–3, see Table 1). The solid box in (a) shows a typical ROI use in subsequent quantitative data analysis.

Fig. 2.
Fig. 2.

Comparison of OCT signal (A-scans) for MC simulation and experiment of Sample 1.

Fig. 3.
Fig. 3.

Histograms for raw simulated (lines) and experimental (markers) OCT-images for (a) Samples 1–3 and (b) Samples 4–6.

Fig. 4.
Fig. 4.

(a) Representative histograms (markers) and Gamma distribution fits (lines) for Sample 1. (b) Gamma distribution parameters extracted from experimental and simulated signal intensity histograms. Shape α (left) and scale β (right) parameters are plotted as a function of particle concentration for both sized microspheres.

Tables (1)

Tables Icon

Table 1. Optical Properties of Microsphere Phantoms at λ=1300nm

Equations (2)

Equations on this page are rendered with MathJax. Learn more.

I(z)=I0i=1NphWicos(2πλ(2zLi))exp((2zLilc)2),
f(x,α,β)=1Γ(α)βαxα1eβx,

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