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

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DOIResolve DOI: http://doi.org/10.1364/OL.38.001280
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TypeArticle
Journal titleOptics Letters
ISSN0146-9592
Volume38
Issue8
Pages12801282; # of pages: 3
SubjectCervical cancers; Characterizing biological tissues; Early cancer detection; Gamma distribution function; Intrinsic textures; Speckle intensity; Texture analysis; Tissue pathology; Histology; Speckle; Textures; Tumors; Optical tomography; animal; article; cell transformation; female; human; methodology; mouse; optical coherence tomography; pathology; tumor cell line; uterine cervix tumor; Animals; Cell Line, Tumor; Cell Transformation, Neoplastic; Female; Humans; Mice; Tomography, Optical Coherence; Uterine Cervical Neoplasms
AbstractWe 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.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Microstructural Sciences (IMS-ISM)
Peer reviewedYes
NPARC number21269666
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Record identifier1a279aed-726c-47ae-9e0a-d316a69a25ff
Record created2013-12-13
Record modified2016-05-09
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