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Optics Letters

Optics Letters


  • Editor: Xi-Cheng Zhang
  • Vol. 39, Iss. 12 — Jun. 15, 2014
  • pp: 3472–3475

Speckle statistics in OCT images: Monte Carlo simulations and experimental studies

Mikhail Yu. Kirillin, Golnaz Farhat, Ekaterina A. Sergeeva, Michael C. Kolios, and Alex Vitkin  »View Author Affiliations

Optics Letters, Vol. 39, Issue 12, pp. 3472-3475 (2014)

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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

OCIS Codes
(030.6140) Coherence and statistical optics : Speckle
(100.2960) Image processing : Image analysis
(110.4500) Imaging systems : Optical coherence tomography
(290.4210) Scattering : Multiple scattering

ToC Category:
Coherence and Statistical Optics

Original Manuscript: March 12, 2014
Revised Manuscript: May 8, 2014
Manuscript Accepted: May 8, 2014
Published: June 5, 2014

Virtual Issues
Vol. 9, Iss. 8 Virtual Journal for Biomedical Optics

Mikhail Yu. Kirillin, Golnaz Farhat, Ekaterina A. Sergeeva, Michael C. Kolios, and Alex Vitkin, "Speckle statistics in OCT images: Monte Carlo simulations and experimental studies," Opt. Lett. 39, 3472-3475 (2014)

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