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Proceedings Paper

In vivo and in vitro hyperspectral imaging of cervical neoplasia
Author(s): Chaojian Wang; Wenli Zheng; Yanggao Bu; Shufang Chang; Qingping Tong; Shiwu Zhang; Ronald X. Xu
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Paper Abstract

Cervical cancer is a prevalent disease in many developing countries. Colposcopy is the most common approach for screening cervical intraepithelial neoplasia (CIN). However, its clinical efficacy heavily relies on the examiner’s experience. Spectroscopy is a potentially effective method for noninvasive diagnosis of cervical neoplasia. In this paper, we introduce a hyperspectral imaging technique for noninvasive detection and quantitative analysis of cervical neoplasia. A hyperspectral camera is used to collect the reflectance images of the entire cervix under xenon lamp illumination, followed by standard colposcopy examination and cervical tissue biopsy at both normal and abnormal sites in different quadrants. The collected reflectance data are calibrated and the hyperspectral signals are extracted. Further spectral analysis and image processing works are carried out to classify tissue into different types based on the spectral characteristics at different stages of cervical intraepithelial neoplasia. The hyperspectral camera is also coupled with a lab microscope to acquire the hyperspectral transmittance images of the pathological slides. The in vivo and the in vitro imaging results are compared with clinical findings to assess the accuracy and efficacy of the method.

Paper Details

Date Published: 28 February 2014
PDF: 7 pages
Proc. SPIE 8951, Optical Diagnostics and Sensing XIV: Toward Point-of-Care Diagnostics, 89510M (28 February 2014); doi: 10.1117/12.2041046
Show Author Affiliations
Chaojian Wang, Univ. of Science and Technology of China (China)
Wenli Zheng, Univ. of Science and Technology of China (China)
Yanggao Bu, The 105th PLA Hospital (China)
Shufang Chang, Chongqing Medical Univ. (China)
Qingping Tong, The 105th PLA Hospital (China)
Shiwu Zhang, Univ. of Science and Technology of China (China)
Ronald X. Xu, Univ. of Science and Technology of China (China)

Published in SPIE Proceedings Vol. 8951:
Optical Diagnostics and Sensing XIV: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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