Hyperspectral Imaging of In Vitro Wound Models from Human Skin

Abstract

In vitro wounds from human skin have been analysed using hyperspectral imaging. The purpose of this research is to use hyperspectral imaging as a diagnosis tool for skin wounds. The imaging period was 22 days.

The images were analysed using Matlab. This includes noise removal, calibration to reflectance, RGB image analysis, reflectance spectrum analysis, spectral angle mapper and Monte Carlo. From this analysis, reflectance maxima and minima were identified, the change in reflectance values with time, chromophores and cytochromes in skin were indentified and classification analysis were performed to study the change in relative ratios of pixels of the different classes.

Results from the analysis show that the reflectance decreases with time, skin has the lowest reflectance and wound has the highest reflectance. Some samples showes signs of healing, but no samples healed completely. An infection occurred in some of the samples between day 8 and day 10, and this infection is detectable in reflectance spectrums and to some extent in SAM classifications.