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.
[1]
George Papanicolaou,et al.
Optical polarization imaging in biological tissue
,
2001,
SPIE BiOS.
[2]
A. Maclean.
Vulval cancer: prevention and screening.
,
2006,
Best practice & research. Clinical obstetrics & gynaecology.
[3]
H Radousky,et al.
Deep subsurface imaging in tissues using spectral and polarization filtering.
,
2000,
Optics express.
[4]
Jessica C Ramella-Roman,et al.
Imaging skin pathology with polarized light.
,
2002,
Journal of biomedical optics.
[5]
Ronald X. Xu,et al.
Second derivative multispectral algorithm for quantitative assessment of cutaneous tissue oxygenation
,
2015,
Journal of biomedical optics.
[6]
Luma V. Halig,et al.
Hyperspectral imaging and quantitative analysis for prostate cancer detection.
,
2012,
Journal of biomedical optics.