@inproceedings{0ed172271a70460987cd0ac0089c74f9,
title = "Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing",
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.",
keywords = "Early cancer detection, Hyperspectral imaging, Non-negative matrix factorization, Spectral unmixing",
author = "Guolan Lu and Xulei Qin and Dongsheng Wang and Chen, {Zhuo Georgia} and Baowei Fei",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 24-02-2015 Through 26-02-2015",
year = "2015",
doi = "10.1117/12.2082299",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Barjor Gimi and Molthen, {Robert C.}",
booktitle = "Medical Imaging 2015",
}