Automated characterization of diabetic foot using nonlinear features extracted from thermograms
Automated characterization of diabetic foot using nonlinear features extracted from thermograms
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DOI：
10.1016/j.infrared.2018.01.022
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发表时间：
2018-03-01
影响因子：
3.3
通讯作者：
Acharya, U. Rajendra
中科院分区：
文献类型：
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作者：
Adam, Muhammad;Ng, Eddie Y. K.;Acharya, U. Rajendra
糖尿病足是糖尿病的主要并发症之一。由于DM，足部的血液循环减少，因此足底温度降低。热成像是一种非侵入性的成像方法，使用红外（IR）相机来查看热图案。它可以定性和直观地记录血管组织中的温度波动。但是很难手动诊断这些温度变化。因此，计算机辅助诊断（CAD）系统可以帮助准确地检测糖尿病足，以防止创伤性后果，如溃疡和下肢截肢。在这项研究中，足底温度计的33名健康人和33名2型糖尿病患者。这些足部图像分解使用离散小波变换（DWT）和高阶谱（HOS）技术。从分解的图像中提取各种纹理和熵特征。这些组合（DWT + HOS）功能使用t值进行排名，并使用支持向量机（SVM）分类器进行分类。我们提出的方法实现了最大的准确性为89.39%，灵敏度为81.81%，特异性为96.97%，仅使用五个功能。所提出的基于温度记录的CAD系统的性能可以帮助临床医生在诊断糖尿病足时采取第二意见。(C)2018爱思唯尔B.V.保留所有权利。
Diabetic foot is a major complication of diabetes mellitus (DM). The blood circulation to the foot decreases due to DM and hence, the temperature reduces in the plantar foot. Thermography is a noninvasive imaging method employed to view the thermal patterns using infrared (IR) camera. It allows qualitative and visual documentation of temperature fluctuation in vascular tissues. But it is difficult to diagnose these temperature changes manually. Thus, computer assisted diagnosis (CAD) system may help to accurately detect diabetic foot to prevent traumatic outcomes such as ulcerations and lower extremity amputation. In this study, plantar foot thermograms of 33 healthy persons and 33 individuals with type 2 diabetes are taken. These foot images are decomposed using discrete wavelet transform (DWT) and higher order spectra (HOS) techniques. Various texture and entropy features are extracted from the decomposed images. These combined (DWT + HOS) features are ranked using t-values and classified using support vector machine (SVM) classifier. Our proposed methodology achieved maximum accuracy of 89.39%, sensitivity of 81.81% and specificity of 96.97% using only five features. The performance of the proposed thermography-based CAD system can help the clinicians to take second opinion on their diagnosis of diabetic foot. (C) 2018 Elsevier B.V. All rights reserved.