1 November 2010 Predicting neuropathic ulceration: analysis of static temperature distributions in thermal images
Author Affiliations +
J. of Biomedical Optics, 15(6), 061715 (2010). doi:10.1117/1.3524233
Abstract
Foot ulcers affect millions of Americans annually. Conventional methods used to assess skin integrity, including inspection and palpation, may be valuable approaches, but they usually do not detect changes in skin integrity until an ulcer has already developed. We analyze the feasibility of thermal imaging as a technique to assess the integrity of the skin and its many layers. Thermal images are analyzed using an asymmetry analysis, combined with a genetic algorithm, to examine the infrared images for early detection of foot ulcers. Preliminary results show that the proposed technique can reliably and efficiently detect inflammation and hence effectively predict potential ulceration.
Naima Kaabouch, Wen-Chen Hu, Yi Chen, Julie W. Anderson, Forrest Ames, Rolf Paulson, "Predicting neuropathic ulceration: analysis of static temperature distributions in thermal images," Journal of Biomedical Optics 15(6), 061715 (1 November 2010). http://dx.doi.org/10.1117/1.3524233
Submission: Received ; Accepted
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KEYWORDS
Thermography

Inflammation

Skin

Genetic algorithms

Biological research

Image analysis

Image segmentation

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