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Journal of Biomedical Optics

Hyperspectral wide gap second derivative analysis for <italic<in vivo</italic< detection of cervical intraepithelial neoplasia
Author(s): Wenli Zheng; Chaojian Wang; Shufang Chang; Shiwu Zhang; Ronald X. Xu
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Paper Abstract

Hyperspectral reflectance imaging technique has been used for <italic<in vivo</italic< detection of cervical intraepithelial neoplasia. However, the clinical outcome of this technique is suboptimal owing to multiple limitations such as nonuniform illumination, high-cost and bulky setup, and time-consuming data acquisition and processing. To overcome these limitations, we acquired the hyperspectral data cube in a wavelength ranging from 600 to 800 nm and processed it by a wide gap second derivative analysis method. This method effectively reduced the image artifacts caused by nonuniform illumination and background absorption. Furthermore, with second derivative analysis, only three specific wavelengths (620, 696, and 772 nm) are needed for tissue classification with optimal separability. Clinical feasibility of the proposed image analysis and classification method was tested in a clinical trial where cervical hyperspectral images from three patients were used for classification analysis. Our proposed method successfully classified the cervix tissue into three categories of normal, inflammation and high-grade lesion. These classification results were coincident with those by an experienced gynecology oncologist after applying acetic acid. Our preliminary clinical study has demonstrated the technical feasibility for <italic<in vivo</italic< and noninvasive detection of cervical neoplasia without acetic acid. Further clinical research is needed in order to establish a large-scale diagnostic database and optimize the tissue classification technique.

Paper Details

Date Published: 28 July 2015
PDF: 10 pages
J. Biomed. Opt. 20(12) 121303 doi: 10.1117/1.JBO.20.12.121303
Published in: Journal of Biomedical Optics Volume 20, Issue 12
Show Author Affiliations
Wenli Zheng, Univ. of Science and Technology of China (China)
Chaojian Wang, Univ. of Science and Technology of China (China)
Shufang Chang, Second Affiliated Hospital of Chongqing Medical Univ. (China)
Shiwu Zhang, 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)

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