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基于皮肤热图像统计参数的痤疮治疗评估技术。

Assessment technique for acne treatments based on statistical parameters of skin thermal images.

出版信息

J Biomed Opt. 2014 Apr;19(4):046019. doi: 10.1117/1.JBO.19.4.046019.

DOI:10.1117/1.JBO.19.4.046019
PMID:24777529
Abstract

Acne vulgaris as an inflammatory disease, with an excessive production of subdermal fat, modifies the dynamics of the bloodstream, and consequently temperature, on the affected skin zone. A high percentage of this heat interchange is manifested as electromagnetic radiation with far-infrared wavelengths, which can be captured through a thermal imaging camera. A technique based on thermal image analysis for efficiency assessment in acne vulgaris is described. The procedure is based on computing statistical parameters of thermal images captured from the affected skin zone being attended by an acne treatment. The proposed technique was used to determine the skin thermal behavior according to acne severity levels in different acne treatment stages. Infrared images of acne skin zones on eight patients, diagnosed with acne vulgaris and attended by one specific acne treatment, were weekly registered during 11 weeks. The infrared images were captured until no more improvement in affected zones was detected. The obtained results suggest a direct relationship between the used statistical parameters, particularly first- and second-order statistics, and the acne vulgaris severity level on the affected zones.

摘要

寻常痤疮作为一种炎症性疾病,皮脂分泌过多,改变了血流动力学,进而改变了受影响皮肤区域的温度。这种热交换的很大一部分表现为具有远红外波长的电磁辐射,可以通过热成像摄像机捕捉到。本文描述了一种基于热图像分析的痤疮治疗效果评估技术。该方法基于计算受痤疮治疗影响的皮肤区域的热图像的统计参数。该技术用于根据不同痤疮治疗阶段的严重程度确定皮肤的热行为。对 8 名被诊断患有寻常痤疮并接受特定痤疮治疗的患者的痤疮皮肤区域的红外图像进行了为期 11 周的每周登记,直到受影响区域不再有改善为止。捕获红外图像。所得结果表明,所使用的统计参数(特别是一阶和二阶统计量)与受影响区域的寻常痤疮严重程度之间存在直接关系。

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