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Proceedings Paper

Characterization and classification of oral tissues using excitation and emission matrix: a statistical modeling approach
Author(s): Udayakumar Kanniyappan; Einstein Gnanatheepaminstein; Aruna Prakasarao; Koteeswaran Dornadula; Ganesan Singaravelu
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Paper Abstract

Cancer is one of the most common human threats around the world and diagnosis based on optical spectroscopy especially fluorescence technique has been established as the standard approach among scientist to explore the biochemical and morphological changes in tissues. In this regard, the present work aims to extract spectral signatures of the various fluorophores present in oral tissues using parallel factor analysis (PARAFAC). Subsequently, the statistical analysis also to be performed to show its diagnostic potential in distinguishing malignant, premalignant from normal oral tissues. Hence, the present study may lead to the possible and/or alternative tool for oral cancer diagnosis.

Paper Details

Date Published: 17 February 2017
PDF: 6 pages
Proc. SPIE 10060, Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis, 100601E (17 February 2017); doi: 10.1117/12.2255872
Show Author Affiliations
Udayakumar Kanniyappan, Univ. of Maryland, College Park (United States)
Einstein Gnanatheepaminstein, Anna Univ., Chennai (India)
Aruna Prakasarao, Anna Univ., Chennai (India)
Koteeswaran Dornadula, Meenakshi Ammal Dental College & Hospital (India)
Ganesan Singaravelu, Anna Univ., Chennai (India)

Published in SPIE Proceedings Vol. 10060:
Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis
Robert R. Alfano; Stavros G. Demos, Editor(s)

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