Non invasive control and scoring of psoriasis severity

Taoufik El Kabir; Benjamin Bringier; Majdi Khoudeir; Jean-Claude Lecron; Franck Morel; Jean-François Jégou

doi:10.1117/12.2520690

16 July 2019 Non invasive control and scoring of psoriasis severity

Taoufik El Kabir, Benjamin Bringier, Majdi Khoudeir, Jean-Claude Lecron, Franck Morel, Jean-François Jégou

Proceedings Volume 11172, Fourteenth International Conference on Quality Control by Artificial Vision; 111720Q (2019) https://doi.org/10.1117/12.2520690
Event: Fourteenth International Conference on Quality Control by Artificial Vision, 2019, Mulhouse, France

Abstract

In dermatology, image processing allows non-contact and non-invasive metrological measurements. Psoriasis is an incurable skin disease with an unknown origin. One of the most important tasks in the treatment of psoriasis is to evaluate the degree of the illness following a severity score. Dermatologists use visual and tactile senses to assess the lesions severity. In this article, we propose an automated methodology for assessing objectively the severity of psoriasis by measuring the physical parameters of the skin. Thus, from the colorimetry and geometry obtained by photometric-stereo, we determine the level of erythema and skin thickness. Our results show that for a low acquisition time, the scores obtained are highly correlated with those of dermatologists.

Citation Download Citation

Taoufik El Kabir, Benjamin Bringier, Majdi Khoudeir, Jean-Claude Lecron, Franck Morel, and Jean-François Jégou "Non invasive control and scoring of psoriasis severity", Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111720Q (16 July 2019); https://doi.org/10.1117/12.2520690

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KEYWORDS

Skin

Colorimetry

Image segmentation

RGB color model

Dermatology

Inflammation

Light sources and illumination

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