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Proceedings Article

Two-layer optical model of skin for early, non-invasive detection of wound development on the diabetic foot

[+] Author Affiliations
Dmitry Yudovsky, Aksone Nouvong, Laurent Pilon

Univ. of California, Los Angeles (USA)

Kevin Schomacker

Hypermed, Inc (USA)

Proc. SPIE 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII, 755514 (February 22, 2010); doi:10.1117/12.846078
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From Conference Volume 7555

  • Advanced Biomedical and Clinical Diagnostic Systems VIII
  • Tuan Vo-Dinh; Warren S. Grundfest; Anita Mahadevan-Jansen
  • San Francisco, California | January 23, 2010

abstract

Foot ulceration is a debilitating comorbidity of diabetes that may result in loss of mobility and amputation. Optical detection of cutaneous tissue changes due to inflammation and necrosis at the preulcer site could constitute a preventative strategy. A commercial hyperspectral oximetry system was used to measure tissue oxygenation on the feet of diabetic patients. A previously developed predictive index was used to differentiate preulcer tissue from surrounding healthy tissue with a sensitivity of 92% and specificity of 80%. To improve prediction accuracy, an optical skin model was developed treating skin as a two-layer medium and explicitly accounting for (i) melanin content and thickness of the epidermis, (ii) blood content and hemoglobin saturation of the dermis, and (iii) tissue scattering in both layers. Using this forward model, an iterative inverse method was used to determine the skin properties from hyperspectral images of preulcerative areas. The use of this information in lowering the false positive rate was discussed.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Dmitry Yudovsky ; Aksone Nouvong ; Kevin Schomacker and Laurent Pilon
"Two-layer optical model of skin for early, non-invasive detection of wound development on the diabetic foot", Proc. SPIE 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII, 755514 (February 22, 2010); doi:10.1117/12.846078; http://dx.doi.org/10.1117/12.846078


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