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Proceedings Paper

Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis
Author(s): Guolan Lu; Xulei Qin; Dongsheng Wang; Susan Muller; Hongzheng Zhang; Amy Chen; Zhuo Georgia Chen; Baowei Fei
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Paper Abstract

Hyperspectral imaging (HSI) is an emerging modality for medical applications and holds great potential for noninvasive early detection of cancer. It has been reported that early cancer detection can improve the survival and quality of life of head and neck cancer patients. In this paper, we explored the possibility of differentiating between premalignant lesions and healthy tongue tissue using hyperspectral imaging in a chemical induced oral cancer animal model. We proposed a novel classification algorithm for cancer detection using hyperspectral images. The method detected the dysplastic tissue with an average area under the curve (AUC) of 0.89. The hyperspectral imaging and classification technique may provide a new tool for oral cancer detection.

Paper Details

Date Published: 29 March 2016
PDF: 8 pages
Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 978812 (29 March 2016); doi: 10.1117/12.2216553
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)
Susan Muller, Emory Univ. School of Medicine (United States)
Hongzheng Zhang, Emory Univ. School of Medicine (United States)
Amy Chen, Emory Univ. School of Medicine (United States)
Zhuo Georgia Chen, Emory Univ. (United States)
Baowei Fei, Georgia Institute of Technology (United States)
Winship Cancer Institute, Emory Univ. (United States)


Published in SPIE Proceedings Vol. 9788:
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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