Automatic detection of diabetic foot complications with infrared thermography by asymmetric analysis

Liu, Chanjuan, van Netten, Jaap J., Van Baal, Jeff G., Bus, Sicco A., & van Der Heijden, Ferdi (2015) Automatic detection of diabetic foot complications with infrared thermography by asymmetric analysis. Journal of Biomedical Optics, 20(2), -026003.

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Early identification of diabetic foot complications and their precursors is essential in preventing their devastating consequences, such as foot infection and amputation. Frequent, automatic risk assessment by an intelligent telemedicine system might be feasible and cost effective. Infrared thermography is a promising modality for such a system. The temperature differences between corresponding areas on contralateral feet are the clinically significant parameters. This asymmetric analysis is hindered by (1) foot segmentation errors, especially when the foot temperature and the ambient temperature are comparable, and by (2) different shapes and sizes between contralateral feet due to deformities or minor amputations. To circumvent the first problem, we used a color image and a thermal image acquired synchronously. Foot regions, detected in the color image, were rigidly registered to the thermal image. This resulted in 97.8% ± 1.1% sensitivity and 98.4% ± 0.5% specificity over 76 high-risk diabetic patients with manual annotation as a reference. Nonrigid landmark-based registration with Bsplines solved the second problem. Corresponding points in the two feet could be found regardless of the shapes and sizes of the feet. With that, the temperature difference of the left and right feet could be obtained.

Impact and interest:

5 citations in Scopus
3 citations in Web of Science®
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ID Code: 93264
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: asymmetric analysis, diabetic foot complications, inflammation, infrared imaging, prevention, telemedicine, thermal image segmentation
DOI: 10.1117/1.JBO.20.2.026003
ISSN: 1083-3668
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2015 SPIE
Deposited On: 26 Feb 2016 01:35
Last Modified: 21 Jun 2017 14:52

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