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Proceedings Paper

Polarized hyperspectral imaging system for in vivo detection of vulvar lichen sclerosis
Author(s): Yingjie Qu; Wenqi Ren; Songde Liu; Peng Liu; Lan Xie; Xiaoyuan Zhang; Shiwu Zhang; Shufang Chang; Ronald Xu
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Paper Abstract

Vulvar lichen sclerosis (VLS) is a chronic, inflammatory and mucocutaneous disease of extragenital skin, which often goes undetected for years. The underlying causes are associated with the decrease of VEGF that reduces the blood oxygenation of vulva and the structural changes in the collagen fibrils, which can lead to scarring of the affected area. However, few methods are available for quantitative detection of VLS. Clinician’s examinations are subjective and may lead to misdiagnosis. Spectroscopy is a potentially effective method for noninvasive detection of VLS. In this paper, we developed a polarized, hyperspectral imaging system for quantitative assessment. The system utilized a hyperspectral camera to collect the reflectance images of the entire vulva under Xenon lamp illumination with and without a polarizer in front of the fiber. One image (Ipar) acquired with the AOTF parallel to the polarization of illumination and the other image (Iper) acquired with the AOTF perpendicular to the illumination. This paper compares polarized images of VLS in a pilot clinical study. The collected reflectance data under Xenon lamp illumination without a polarizer are calibrated and the hyperspectral signals are extracted. An IRB approved clinical trial was carried out to evaluate the clinical utility for VLS detection. Our pilot study has demonstrated the technical potential of using this polarized hyperspectral imaging system for in vivo detection of vulvar lichen sclerosis.

Paper Details

Date Published: 4 March 2016
PDF: 8 pages
Proc. SPIE 9715, Optical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics, 97150Q (4 March 2016); doi: 10.1117/12.2213802
Show Author Affiliations
Yingjie Qu, Univ. of Science and Technology of China (China)
Wenqi Ren, Univ. of Science and Technology of China (China)
Songde Liu, Univ. of Science and Technology of China (China)
Peng Liu, Univ. of Science and Technology of China (China)
Lan Xie, Second Affiliated Hospital of Chongqing Medical Univ. (China)
Xiaoyuan Zhang, Second Affiliated Hospital of Chongqing Medical Univ. (China)
Shiwu Zhang, Univ. of Science and Technology of China (China)
Shufang Chang, Second Affiliated Hospital of Chongqing Medical Univ. (China)
Ronald Xu, Univ. of Science and Technology of China (China)
The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 9715:
Optical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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