Infrared (IR) thermography as a potential screening modality for carotid artery stenosis. (October 2019)

• Record Type: Journal Article
• Authors: Saxena, Ashish; Ng, E.Y.K.; Lim, Soo Teik
• Is Part Of: Computers in biology and medicine. Volume 113(2019)
• Publication Date: 2019-10
• Subjects: Carotid artery stenosis -- Atherosclerosis -- Infrared (IR) thermography -- Binary classification -- Support vector machine (SVM) -- Cardiovascular imaging; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2019.103419
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: In the present study, an infrared (IR) thermal camera was used to map the temperature of the target skin surface, and the resulting thermal image was evaluated for the presence of carotid artery stenosis (CAS). In the presence of stenosis in the carotid artery, abnormal temperature maps are expected to occur on the external skin surface, which could be captured and quantified using IR thermography. A Duplex Ultrasound (DUS) examination was used to establish the ground truth. In each patient, the background-subtracted thermal image, referred to as full thermal image, was used to extract novel parametric cold thermal feature images . From these images, statistical features, viz., correlation, energy, homogeneity, contrast, entropy, mean, standard deviation (SD), skewness, and kurtosis, were calculated and the two groups of patients (control and diseased: a total of 80 carotid artery samples) were classified. Both cut-off value- and support vector machine (SVM)-based binary classification models were tested. While the cut-off value classification model resulted in a moderate performance (70% accurate), SVM was found to have classified the patients with high accuracy (92% or higher). This preliminary study suggests the potential of IR thermography as a possible screening tool for CAS patients. Graphical abstract: Image 1 Highlights: Carotid artery stenosis (CAS) brings about abnormality in the skin temperature. Skin thermal images are used to differentiate normal and diseased arteries. Cut-off value and SVM-based binary classification models were tested. Clinical implications of thermography-based CAS screening are described.