Paper
9 October 2022 An early screening method of the diabetic foot based on infrared thermography
Tianjiao Hu, Lisheng Gao, Xiaoyu Zhang, Jiangyi Shan, Zhonghao Wang, Yang Xu
Author Affiliations +
Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 122460X (2022) https://doi.org/10.1117/12.2643906
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
Early screening of the diabetic foot is crucial for diabetic foot prevention and treatment. Since neuropathy and vasculopathy caused by hyperglycemia can lead to abnormal foot temperature, a diabetic foot screening method based on infrared thermography has been recommended. We designed a fully automated method for early screening of the diabetic foot. The automatic segmentation of infrared images of the foot region was achieved by designing an image processing algorithm; the automatic extraction of various temperature features was achieved by combining the angiosome concept. SVM was used to establish a classification model. The study recruited 41 diabetic patients (diabetic group, diabetic foot Wagner grade 0) and 48 healthy individuals (control group) to validate the reliability of the method and showed an accuracy rate of up to 87.5% in the test set.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tianjiao Hu, Lisheng Gao, Xiaoyu Zhang, Jiangyi Shan, Zhonghao Wang, and Yang Xu "An early screening method of the diabetic foot based on infrared thermography", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 122460X (9 October 2022); https://doi.org/10.1117/12.2643906
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KEYWORDS
Image segmentation

Infrared imaging

Infrared radiation

Thermography

Expectation maximization algorithms

Image processing

Thermal modeling

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