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Proceedings Paper

Early detection of foot ulcers through asymmetry analysis
Author(s): Naima Kaabouch; Yi Chen; Wen-Chen Hu; Julie Anderson; Forrest Ames; Rolf Paulson
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Paper Abstract

Foot ulcers affect millions of Americans annually. Areas that are likely to ulcerate have been associated with increased local skin temperatures due to inflammation and enzymatic autolysis of tissue. Conventional methods to assess skin, including inspection and palpation, may be valuable approaches, but usually they do not detect changes in skin integrity until an ulcer has already developed. Conversely, infrared imaging is a technology able to assess the integrity of the skin and its many layers, thus having the potential to index the cascade of physiological events in the prevention, assessment, and management of foot ulcers. In this paper, we propose a technique, asymmetry analysis, to automatically analyze the infrared images in order to detect inflammation. Preliminary results show that the proposed technique can be reliable and efficient to detect inflammation and, hence, predict potential ulceration.

Paper Details

Date Published: 27 February 2009
PDF: 9 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621L (27 February 2009); doi: 10.1117/12.811676
Show Author Affiliations
Naima Kaabouch, Univ. of North Dakota (United States)
Yi Chen, Univ. of North Dakota (United States)
Wen-Chen Hu, Univ. of North Dakota (United States)
Julie Anderson, Univ. of North Dakota (United States)
Forrest Ames, Univ. of North Dakota (United States)
Rolf Paulson, Altru Wound Clinic (United States)


Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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