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Proceedings Paper

In vivo detection of cervical intraepithelial neoplasia by multimodal colposcopy
Author(s): Wenqi Ren; Yingjie Qu; Jiaojiao Pei; Linlin Xiao; Shiwu Zhang; Shufang Chang; Zachary J. Smith; Ronald X. Xu
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Paper Abstract

Cervical cancer is the leading cause of cancer death for women in developing countries. Colposcopy plays an important role in early screening and detection of cervical intraepithelial neoplasia (CIN). In this paper, we developed a multimodal colposcopy system that combines multispectral reflectance, autofluorescence, and RGB imaging for in vivo detection of CIN, which is capable of dynamically recording multimodal data of the same region of interest (ROI). We studied the optical properties of cervical tissue to determine multi-wavelengths for different imaging modalities. Advanced algorithms based on the second derivative spectrum and the fluorescence intensity were developed to differentiate cervical tissue into two categories: squamous normal (SN) and high grade (HG) dysplasia. In the results, the kinetics of cervical reflectance and autofluorescence characteristics pre and post acetic acid application were observed and analyzed, and the image segmentation revealed good consistency with the gold standard of histopathology. Our pilot study demonstrated the clinical potential of this multimodal colposcopic system for in vivo detection of cervical cancer.

Paper Details

Date Published: 7 March 2016
PDF: 16 pages
Proc. SPIE 9701, Multimodal Biomedical Imaging XI, 97010E (7 March 2016); doi: 10.1117/12.2212194
Show Author Affiliations
Wenqi Ren, Univ. of Science and Technology of China (China)
The Ohio State Univ. (United States)
Yingjie Qu, Univ. of Science and Technology of China (China)
Jiaojiao Pei, Chongqing Medical Univ. (China)
Linlin Xiao, Chongqing Medical Univ. (China)
Shiwu Zhang, Univ. of Science and Technology of China (China)
Shufang Chang, Chongqing Medical Univ. (China)
Zachary J. Smith, Univ. of Science and Technology of China (China)
Ronald X. Xu, Univ. of Science and Technology of China (China)
The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 9701:
Multimodal Biomedical Imaging XI
Fred S. Azar; Xavier Intes, Editor(s)

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