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Journal of Biomedical Optics • Open Access

Predicting neuropathic ulceration: analysis of static temperature distributions in thermal images
Author(s): Naima Kaabouch; Wen-Chen Hu; Yi Chen; Julie W. Anderson; Forrest Ames; Rolf Paulson

Paper 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.

Paper Details

Date Published: 1 November 2010
PDF: 6 pages
J. Biomed. Opt. 15(6) 061715 doi: 10.1117/1.3524233
Published in: Journal of Biomedical Optics Volume 15, Issue 6
Show Author Affiliations
Naima Kaabouch, The Univ. of North Dakota (United States)
Wen-Chen Hu, The Univ. of North Dakota (United States)
Yi Chen, The Univ. of North Dakota (United States)
Julie W. Anderson, The Univ. of North Dakota (United States)
Forrest Ames, The Univ. of North Dakota (United States)
Rolf Paulson, Altru Wound Clinic (United States)


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