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Journal of Biomedical Optics • Open Access

Automated segmentation algorithm for detection of changes in vaginal epithelial morphology using optical coherence tomography
Author(s): Shahab Chitchian; Kathleen L. Vincent; Gracie Vargas; Massoud Motamedi

Paper Abstract

We have explored the use of optical coherence tomography (OCT) as a noninvasive tool for assessing the toxicity of topical microbicides, products used to prevent HIV, by monitoring the integrity of the vaginal epithelium. A novel feature-based segmentation algorithm using a nearest-neighbor classifier was developed to monitor changes in the morphology of vaginal epithelium. The two-step automated algorithm yielded OCT images with a clearly defined epithelial layer, enabling differentiation of normal and damaged tissue. The algorithm was robust in that it was able to discriminate the epithelial layer from underlying stroma as well as residual microbicide product on the surface. This segmentation technique for OCT images has the potential to be readily adaptable to the clinical setting for noninvasively defining the boundaries of the epithelium, enabling quantifiable assessment of microbicide-induced damage in vaginal tissue.

Paper Details

Date Published: 1 November 2012
PDF: 6 pages
J. Biomed. Opt. 17(11) 116004 doi: 10.1117/1.JBO.17.11.116004
Published in: Journal of Biomedical Optics Volume 17, Issue 11
Show Author Affiliations
Shahab Chitchian, The Univ. of Texas Medical Branch (United States)
Kathleen L. Vincent, The Univ. of Texas Medical Branch (United States)
Gracie Vargas, The Univ. of Texas Medical Branch (United States)
Massoud Motamedi, The Univ. of Texas Medical Branch (United States)

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