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Proceedings Paper

Textural analysis of optical coherence tomography skin images: quantitative differentiation between healthy and cancerous tissues
Author(s): Saba Adabi; Silvia Conforto; Matin Hosseinzadeh; Shahryar Noe; Steven Daveluy; Darius Mehregan; Mohammadreza Nasiriavanaki
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Paper Abstract

Optical Coherence Tomography (OCT) offers real-time high-resolution three-dimensional images of tissue microstructures. In this study, we used OCT skin images acquired from ten volunteers, neither of whom had any skin conditions addressing the features of their anatomic location. OCT segmented images are analyzed based on their optical properties (attenuation coefficient) and textural image features e.g., contrast, correlation, homogeneity, energy, entropy, etc. Utilizing the information and referring to their clinical insight, we aim to make a comprehensive computational model for the healthy skin. The derived parameters represent the OCT microstructural morphology and might provide biological information for generating an atlas of normal skin from different anatomic sites of human skin and may allow for identification of cell microstructural changes in cancer patients. We then compared the parameters of healthy samples with those of abnormal skin and classified them using a linear Support Vector Machines (SVM) with 82% accuracy.

Paper Details

Date Published: 17 February 2017
PDF: 8 pages
Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, 100533F (17 February 2017); doi: 10.1117/12.2254869
Show Author Affiliations
Saba Adabi, Roma Tre Univ. (Italy)
Wayne State Univ. (United States)
Silvia Conforto, Roma Tre Univ. (Italy)
Matin Hosseinzadeh, Wayne State Univ. (United States)
Shahryar Noe, Wayne State Univ. (United States)
Steven Daveluy, Wayne State Univ. (United States)
Darius Mehregan, Wayne State Univ. (United States)
Mohammadreza Nasiriavanaki, Wayne State Univ. (United States)
Barbara Ann Karmanos Cancer Institute (United States)

Published in SPIE Proceedings Vol. 10053:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI
James G. Fujimoto; Joseph A. Izatt; Valery V. Tuchin, Editor(s)

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