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

Dmitry Yudovsky; Aksone Nouvong; Kevin Schomacker; Laurent Pilon

doi:10.1117/12.846078

22 February 2010 Two-layer optical model of skin for early, non-invasive detection of wound development on the diabetic foot

Dmitry Yudovsky, Aksone Nouvong, Kevin Schomacker, Laurent Pilon

Author Affiliations +

Proceedings Volume 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII; 755514 (2010) https://doi.org/10.1117/12.846078
Event: SPIE BiOS, 2010, San Francisco, California, United States

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.

Citation Download 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 (22 February 2010); https://doi.org/10.1117/12.846078

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available