3D-representation of skin malformations using spectral line imaging and modified Beer-Lambert law

Abstract

Skin malformation non-invasive diagnostics is a useful tool to check the state of health and warn if the formation is potentially malignant. A portable smartphone-based system with a triple wavelength illuminator and a diffusive reflector enabling uniform illumination was created for spectral line imaging. Overall 30 skin malformations were analyzed using four modified Beer-Lambert law models for skin chromophore calculations in 3D representation. The first and second Beer-Lambert law models gave the most promising results for hemangioma analysis, the second model gave false results for nevi, and the first and fourth models worked best for melanoma analysis.