Digital analysis of colposcopic images in papillomavirus infection

Abstract

Acetowhite epithelium (AWE) is one of the main clinical indicator of papillomavirus infection in squamous cell lesions. AWE has a different intensity in various degree of the cervix papillomavirus infection. The digital approach gives the opportunity to estimate AWE intensity by numeric values. The investigation aim is a quantitative assessment of cervical surface changes in papillomavirus infection with digital analysis and computer technologies. The spread of AWE on the cervical surface area has a value of the cervix papillomavirus infection in squamous cell lesions. These two features provide to create the index intensity (IndInt) and index grey value (IndGV). Open-source software ImageJ was used to analysis of colposcopic images. The 8-bit mode was used for the estimation of the AWE grey value. The algorithm of digital analysis detected indicators that provide the severity of papillomavirus infection. The outcomes of an algorithm were the identification of the cervix surface condition severity by an objective quantification.