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

Opt Lett. 2013 Apr 15;38(8):1280-2. doi: 10.1364/OL.38.001280.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cell Line, Tumor
  • Cell Transformation, Neoplastic
  • Female
  • Humans
  • Mice
  • Tomography, Optical Coherence / methods*
  • Uterine Cervical Neoplasms / pathology*