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17 March 2015 Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing
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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.
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Guolan Lu, Xulei Qin, Dongsheng Wang, Zhuo Georgia Chen, and Baowei Fei "Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing", Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94170Q (17 March 2015); https://doi.org/10.1117/12.2082299
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