Special Section on Optical Diagnostic and Biophotonic Methods from Bench to Bedside

Predicting neuropathic ulceration: analysis of static temperature distributions in thermal images

[+] Author Affiliations
Naima Kaabouch

University of North Dakota, Electrical Engineering Department, Grand Forks, North Dakota 58202

Wen-Chen Hu

University of North Dakota, Computer Science Department, Grand Forks, North Dakota 58202

Yi Chen

University of North Dakota, Electrical Engineering Department, Grand Forks, North Dakota 58202

Julie W. Anderson

University of North Dakota, College of Nursing, Grand Forks, North Dakota 58202

Forrest Ames

University of North Dakota. Mechanical Engineering Department, Grand Forks, North Dakota 58202

Rolf Paulson

Altru Hospital, Wound Clinic 1200 South Columbia Road, Grand Forks, North Dakota 58201

J. Biomed. Opt. 15(6), 061715 (December 23, 2010). doi:10.1117/1.3524233
History: Received January 14, 2010; Revised September 01, 2010; Accepted October 11, 2010; Published December 23, 2010; Online December 23, 2010
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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.

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© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Naima Kaabouch ; Wen-Chen Hu ; Yi Chen ; Julie W. Anderson ; Forrest Ames, et al.
"Predicting neuropathic ulceration: analysis of static temperature distributions in thermal images", J. Biomed. Opt. 15(6), 061715 (December 23, 2010). ; http://dx.doi.org/10.1117/1.3524233


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