title: Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery.
abstract: Hyperspectral imaging (HSI) is an imaging modality that holds strong potential for rapid cancer detection during image-guided surgery. But the data from HSI often needs to be processed appropriately in order to extract the maximum useful information that differentiates cancer from normal tissue. We proposed a framework for hyperspectral image processing and quantification, which includes a set of steps including image preprocessing, glare removal, feature extraction, and ultimately image classification. The framework has been tested on images from mice with head and neck cancer, using spectra from 450- to 900-nm wavelength. The image analysis computed Fourier coefficients, normalized reflectance, mean, and spectral derivatives for improved accuracy. The experimental results demonstrated the feasibility of the hyperspectral image processing and quantification framework for cancer detection during animal tumor surgery, in a challenging setting where sensitivity can be low due to a modest number of features present, but potential for fast image classification can be high. This HSI approach may have potential application in tumor margin assessment during image-guided surgery, where speed of assessment may be the dominant factor.
authors.affiliation: Georgia Institute of Technology and Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30332, United States.
authors.forename: Guolan
authors.initials: G
authors.lastname: Lu
authors.affiliation: Emory University, School of Medicine, Department of Hematology and Medical Oncology, , Atlanta, Georgia 30332, 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 30332, United States.
authors.forename: Xulei
authors.initials: X
authors.lastname: Qin
authors.affiliation: Emory University, School of Medicine, Department of Radiology and Imaging Sciences, , Atlanta, Georgia 30332, United States.
authors.forename: Luma
authors.initials: L
authors.lastname: Halig
authors.affiliation: Emory University, School of Medicine, Department of Otolaryngology, , Atlanta, Georgia 30332, United States.
authors.forename: Susan
authors.initials: S
authors.lastname: Muller
authors.affiliation: Emory University, School of Medicine, Department of Otolaryngology, , Atlanta, Georgia 30332, United States.
authors.forename: Hongzheng
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Emory University, School of Medicine, Department of Otolaryngology, , Atlanta, Georgia 30332, United States.
authors.forename: Amy
authors.initials: A
authors.lastname: Chen
authors.affiliation: Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States.
authors.forename: Brian W
authors.initials: BW
authors.lastname: Pogue
authors.affiliation: Emory University, School of Medicine, Department of Hematology and Medical Oncology, , Atlanta, Georgia 30332, 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 30332, United StatescEmory University, School of Medicine, Department of Radiology and Imaging Sciences, , Atlanta, Georgia.
authors.forename: Baowei
authors.initials: B
authors.lastname: Fei
mesh_terms: D000465:Algorithms; D000818:Animals; D002294:Carcinoma, Squamous Cell / Q000473:pathology / Q000601:surgery; D005583:Fourier Analysis; D049452:Green Fluorescent Proteins / Q000378:metabolism; D006258:Head and Neck Neoplasms / Q000473:pathology* / Q000601:surgery*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D051379:Mice; D008856:Microscopy, Fluorescence; D009038:Motion; D009336:Necrosis; D009368:Neoplasm Transplantation; D025321:Surgery, Computer-Assisted
chemical_list: D049452:Green Fluorescent Proteins