title: Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging.
abstract: Early detection of malignant lesions could improve both survival and quality of life of cancer patients. Hyperspectral imaging (HSI) has emerged as a powerful tool for noninvasive cancer detection and diagnosis, with the advantage of avoiding tissue biopsy and providing diagnostic signatures without the need of a contrast agent in real time. We developed a spectral-spatial classification method to distinguish cancer from normal tissue on hyperspectral images. We acquire hyperspectral reflectance images from 450 to 900 nm with a 2-nm increment from tumor-bearing mice. In our animal experiments, the HSI and classification method achieved a sensitivity of 93.7% and a specificity of 91.3%. The preliminary study demonstrated that HSI has the potential to be applied in vivo for noninvasive detection of tumors.
authors.affiliation: Georgia Institute of Technology and Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30329, United States.
authors.forename: Guolan
authors.initials: G
authors.lastname: Lu
authors.affiliation: Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia 30329, United States.
authors.forename: Luma
authors.initials: L
authors.lastname: Halig
authors.affiliation: Emory University School of Medicine, Department of Hematology and Medical Oncology, Atlanta, Georgia 30329, United States.
authors.forename: Dongsheng
authors.initials: D
authors.lastname: Wang
authors.affiliation: Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia 30329, United States.
authors.forename: Xulei
authors.initials: X
authors.lastname: Qin
authors.affiliation: Emory University School of Medicine, Department of Hematology and Medical Oncology, Atlanta, Georgia 30329, United States.
authors.forename: Zhuo Georgia
authors.initials: ZG
authors.lastname: Chen
authors.affiliation: Georgia Institute of Technology and Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30329, United StatesbEmory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia 30.
authors.forename: Baowei
authors.initials: B
authors.lastname: Fei
mesh_terms: D000818:Animals; D045744:Cell Line, Tumor; D055088:Early Detection of Cancer / Q000379:methods*; D051379:Mice; D009369:Neoplasms / Q000737:chemistry / Q000175:diagnosis*; D061848:Optical Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013057:Spectrum Analysis / Q000379:methods*