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.
authors: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA.
authors: Guolan
authors: G
authors: Lu
authors: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
authors: Xulei
authors: X
authors: Qin
authors: Department of Hematology and Medical Oncology, Emory University, Atlanta, GA.
authors: Dongsheng
authors: D
authors: Wang
authors: Department of Hematology and Medical Oncology, Emory University, Atlanta, GA.
authors: Zhuo Georgia
authors: ZG
authors: Chen
authors: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA; Department of Mathematics & Computer Science, Emory University, Atlanta, GA; Winship Cancer Institute of Emory University, Atlanta, GA.
authors: Baowei
authors: B
authors: Fei
keywords: Hyperspectral imaging; early cancer detection; non-negative matrix factorization; spectral unmixing