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Photometric computer vision-aided system for psoriasis severity scoring: a preclinical study based on a mouse model of psoriasis
Journal of Electronic Imaging ( IF 1.1 ) Pub Date : 2019-12-31 , DOI: 10.1117/1.jei.29.4.041003
Taoufik El Kabir 1 , Benjamin Bringier 1 , Majdi Khoudeir 1 , Franck Morel 2 , Jean-Claude Lecron 2 , Jean-François Jégou 2
Affiliation  

Abstract. Psoriasis is an inflammatory cutaneous disease of unknown origin, characterized by the appearance of red, itchy, and scaly plaques of abnormal skin. One of the most important issues that guides treatment of psoriasis is to evaluate the degree of the illness determining the psoriasis and area severity index (PASI). Dermatologists usually use visual and tactile senses to assess lesion severity, involving a subjective judgment depending on the medical practitioner. For this purpose, we propose an image processing system based on photometric stereo acquisition technique and adapted analysis criteria to evaluate skin parameters. This diagnosis aided system gives an objective and accurate evaluation of skin erythema (redness), skin thickness, and scaling, which are the three clinical parameters, with the area of lesioned skin, that determine PASI score. Thus, we estimate the intensity of erythema from the albedo map and thickness from the three-dimensional estimation of the skin surface. Finally, the combination of color and geometry results allows identifying and quantifying the skin scaling. A validation protocol with an image database that covers all parameter variation ranges is proposed, and the results show a high correlation with dermatologist scores.

中文翻译:

用于银屑病严重程度评分的光度计算机视觉辅助系统:基于银屑病小鼠模型的临床前研究

摘要。银屑病是一种起源不明的炎症性皮肤病,其特征是出现异常皮肤的红色、发痒和鳞状斑块。指导银屑病治疗的最重要问题之一是评估确定银屑病和面积严重性指数 (PASI) 的疾病程度。皮肤科医生通常使用视觉和触觉来评估病变严重程度,涉及取决于医生的主观判断。为此,我们提出了一种基于光度立体采集技术和适应分析标准的图像处理系统来评估皮肤参数。该诊断辅助系统可以客观准确地评估皮肤红斑(发红)、皮肤厚度和鳞屑,这是三个临床参数,以及受损皮肤的面积、决定 PASI 分数。因此,我们从反照率图估计红斑的强度,从皮肤表面的三维估计估计厚度。最后,颜色和几何结果的组合允许识别和量化皮肤缩放。提出了一种具有覆盖所有参数变化范围的图像数据库的验证协议,结果显示与皮肤科医生评分具有高度相关性。
更新日期:2019-12-31
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