title: Texture analysis of optical coherence tomography speckle for characterizing biological tissues in vivo.
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.
authors.affiliation: Department of Medical Biophysics, University of Toronto, 610 University Ave., Toronto, Ontario M5G 2M9, Canada.
authors.forename: Andras A
authors.initials: AA
authors.lastname: Lindenmaier
authors.forename: Leigh
authors.initials: L
authors.lastname: Conroy
authors.forename: Golnaz
authors.initials: G
authors.lastname: Farhat
authors.forename: Ralph S
authors.initials: RS
authors.lastname: DaCosta
authors.forename: Costel
authors.initials: C
authors.lastname: Flueraru
authors.forename: I Alex
authors.initials: IA
authors.lastname: Vitkin
mesh_terms: D000818:Animals; D045744:Cell Line, Tumor; D002471:Cell Transformation, Neoplastic; D005260:Female; D006801:Humans; D051379:Mice; D041623:Tomography, Optical Coherence / Q000379:methods*; D002583:Uterine Cervical Neoplasms / Q000473:pathology*