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Proceedings Paper

Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing
Author(s): Guolan Lu; Xulei Qin; Dongsheng Wang; Zhuo Georgia Chen; Baowei Fei
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Paper Abstract

Early detection of oral cancer and its curable precursors can improve patient survival and quality of life. Hyperspectral imaging (HSI) holds the potential for noninvasive early detection of oral cancer. The quantification of tissue chromophores by spectral unmixing of hyperspectral images could provide insights for evaluating cancer progression. In this study, non-negative matrix factorization has been applied for decomposing hyperspectral images into physiologically meaningful chromophore concentration maps. The approach has been validated by computer-simulated hyperspectral images and in vivo tumor hyperspectral images from a head and neck cancer animal model.

Paper Details

Date Published: 17 March 2015
PDF: 7 pages
Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94170Q (17 March 2015); doi: 10.1117/12.2082299
Show Author Affiliations
Guolan Lu, Georgia Institute of Technology (United States)
Emory Univ. (United States)
Xulei Qin, Emory Univ. (United States)
Dongsheng Wang, Emory Univ. (United States)
Zhuo Georgia Chen, Emory Univ. (United States)
Baowei Fei, Georgia Institute of Technology (United States)
Emory Univ. (United States)
Winship Cancer Institute of Emory Univ. (United States)


Published in SPIE Proceedings Vol. 9417:
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Robert C. Molthen, Editor(s)

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