Abstract
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
Full Article | PDF ArticleMore Like This
Gary R. Ge, Jannick P. Rolland, and Kevin J. Parker
Biomed. Opt. Express 12(7) 4179-4191 (2021)
Leigh Conroy, Ralph S. DaCosta, and I. Alex Vitkin
Opt. Lett. 37(15) 3180-3182 (2012)
K. Wawrzyn, V. Demidov, B. Vuong, M. K. Harduar, C. Sun, V. X. D. Yang, O. Doganay, V. Toronov, and Y. Xu
Opt. Lett. 38(14) 2572-2574 (2013)