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Research Papers: Imaging

Hyperspectral imaging and quantitative analysis for prostate cancer detection

[+] Author Affiliations
Hamed Akbari, Luma V. Halig, David M. Schuster

Emory University, Department of Radiology and Imaging Sciences, Atlanta, 30329 Georgia

Adeboye Osunkoya

Emory University, Department of Pathology, Atlanta, 30329 Georgia

Emory University, Department of Urology, Atlanta, 30329 Georgia

Emory University, Winship Cancer Institute, Atlanta, 30329 Georgia

Viraj Master, Peter T. Nieh

Emory University, Department of Urology, Atlanta, 30329 Georgia

Georgia Z. Chen

Emory University, Winship Cancer Institute, Atlanta, 30329 Georgia

Baowei Fei

Emory University, Department of Radiology and Imaging Sciences, Atlanta, 30329 Georgia

Emory University and Georgia Institute of Technology, Department of Biomedical Engineering, Atlanta, 30329 Georgia

Emory University, Winship Cancer Institute, Atlanta, 30329 Georgia

J. Biomed. Opt. 17(7), 076005 (Jul 06, 2012). doi:10.1117/1.JBO.17.7.076005
History: Received December 20, 2011; Revised May 24, 2012; Accepted June 1, 2012
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Abstract.  Hyperspectral imaging (HSI) is an emerging modality for various medical applications. Its spectroscopic data might be able to be used to noninvasively detect cancer. Quantitative analysis is often necessary in order to differentiate healthy from diseased tissue. We propose the use of an advanced image processing and classification method in order to analyze hyperspectral image data for prostate cancer detection. The spectral signatures were extracted and evaluated in both cancerous and normal tissue. Least squares support vector machines were developed and evaluated for classifying hyperspectral data in order to enhance the detection of cancer tissue. This method was used to detect prostate cancer in tumor-bearing mice and on pathology slides. Spatially resolved images were created to highlight the differences of the reflectance properties of cancer versus those of normal tissue. Preliminary results with 11 mice showed that the sensitivity and specificity of the hyperspectral image classification method are 92.8% to 2.0% and 96.9% to 1.3%, respectively. Therefore, this imaging method may be able to help physicians to dissect malignant regions with a safe margin and to evaluate the tumor bed after resection. This pilot study may lead to advances in the optical diagnosis of prostate cancer using HSI technology.

© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Hamed Akbari ; Luma V. Halig ; David M. Schuster ; Adeboye Osunkoya ; Viraj Master, et al.
"Hyperspectral imaging and quantitative analysis for prostate cancer detection", J. Biomed. Opt. 17(7), 076005 (Jul 06, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.7.076005


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