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Journal of Biomedical Optics

Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery
Author(s): Guolan Lu; Dongsheng Wang; Xulei Qin; Luma Halig; Susan Muller; Hongzheng Zhang; Amy Chen; Brian W. Pogue; Zhuo G. Chen; Baowei Fei
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Paper 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.

Paper Details

Date Published: 28 December 2015
PDF: 13 pages
J. Biomed. Opt. 20(12) 126012 doi: 10.1117/1.JBO.20.12.126012
Published in: Journal of Biomedical Optics Volume 20, Issue 12
Show Author Affiliations
Guolan Lu, Emory Univ. (United States)
Georgia Institute of Technology (United States)
Dongsheng Wang, Emory Univ. (United States)
Xulei Qin, Emory Univ. (United States)
Luma Halig, Emory Univ. (United States)
Susan Muller, Emory Univ. School of Medicine (United States)
Hongzheng Zhang, Emory Univ. (United States)
Amy Chen, Emory Univ. School of Medicine (United States)
Brian W. Pogue, Thayer School of Engineering at Dartmouth (United States)
Zhuo G. Chen, Emory Univ. (United States)
Baowei Fei, Emory Univ. (United States)
Georgia Institute of Technology (United States)
Winship Cancer Institute (United States)


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