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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 5 — Jun. 6, 2013

Texture analysis of optical coherence tomography speckle for characterizing biological tissues in vivo

Andras A. Lindenmaier, Leigh Conroy, Golnaz Farhat, Ralph S. DaCosta, Costel Flueraru, and I. Alex Vitkin  »View Author Affiliations

Optics Letters, Vol. 38, Issue 8, pp. 1280-1282 (2013)

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We demonstrate a method for differentiating tissue disease states using the intrinsic texture properties of speckle in optical coherence tomography (OCT) images of normal and tumor tissues obtained in vivo. This approach fits a gamma distribution function to the nonlog-compressed OCT image intensities, thus allowing differentiation of normal and tumor tissues in an ME-180 human cervical cancer mouse xenograft model. Quantitative speckle intensity distribution analysis thus shows promise for identifying tissue pathologies, with potential for early cancer detection in vivo.

© 2013 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(110.4500) Imaging systems : Optical coherence tomography
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6935) Medical optics and biotechnology : Tissue characterization

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: December 20, 2012
Revised Manuscript: March 10, 2013
Manuscript Accepted: March 11, 2013
Published: April 5, 2013

Virtual Issues
Vol. 8, Iss. 5 Virtual Journal for Biomedical Optics

Andras A. Lindenmaier, Leigh Conroy, Golnaz Farhat, Ralph S. DaCosta, Costel Flueraru, and I. Alex Vitkin, "Texture analysis of optical coherence tomography speckle for characterizing biological tissues in vivo," Opt. Lett. 38, 1280-1282 (2013)

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  1. R. Etzioni, N. Urban, S. Ramsey, M. McIntosh, S. Schwartz, B. Reid, J. Radich, G. Anderson, and L. Hartwell, Nat. Rev. Cancer 3, 243 (2003). [CrossRef]
  2. V. Tuchin, Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnosis (SPIE, 2007).
  3. J. M. Schmitt, S. H. Xiang, and K. M. Yung, J. Biomed. Opt. 4, 95 (1999). [CrossRef]
  4. K. W. Gossage, T. S. Tkaczyk, J. J. Rodriguez, and J. K. Barton, J. Biomed. Opt. 8, 570 (2003). [CrossRef]
  5. S. Tunis, G. J. Czarnota, A. Giles, M. D. Sherar, J. W. Hunt, and M. C. Kolios, Ultrasound Med. Biol. 31, 1041 (2005). [CrossRef]
  6. G. Farhat, V. X. D. Yang, G. J. Czarnota, and M. C. Kolios, J. Biomed. Opt. 16, 026017 (2011). [CrossRef]
  7. A. Maeda, M. K. K. Leung, L. Conroy, Y. Chen, J. Bu, P. E. Lindsay, S. Mintzberg, C. Virtanen, J. Tsao, N. A. Winegarden, Y. Wang, L. Morikawa, I. A. Vitkin, D. A. Jaffray, R. P. Hill, and R. S. DaCosta, PLoS One 7, e42133 (2012). [CrossRef]
  8. Y. Mao, C. Flueraru, S. Chang, D. P. Popescu, and M. G. Sowa, Opt. Commun. 284, 2622 (2011). [CrossRef]
  9. H. Shimazaki and S. Shinomoto, Neural Comput. 19, 1503 (2007). [CrossRef]
  10. J. A. Rice, Mathematical Statistics and Data Analysis (Duxbury Resource Center, 2007).
  11. C. Allain and M. Cloitre, Phys. Rev. A 44, 3552 (1991). [CrossRef]
  12. M. Joiner and A. van der Kogel, eds., Basic Clinical Radiobiology. (Hodder Arnold, 2009).

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