27 February 2009 Early detection of foot ulcers through asymmetry analysis
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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.
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Naima Kaabouch, Naima Kaabouch, Yi Chen, Yi Chen, Wen-Chen Hu, Wen-Chen Hu, Julie Anderson, Julie Anderson, Forrest Ames, Forrest Ames, Rolf Paulson, Rolf Paulson, } "Early detection of foot ulcers through asymmetry analysis", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621L (27 February 2009); doi: 10.1117/12.811676; https://doi.org/10.1117/12.811676
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