Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Rapid Skin Profiling with Non-Contact Full-Field Optical Coherence Tomography: Study of Patients with Diabetes Mellitus Type I

Not Accessible

Your library or personal account may give you access

Abstract

The application of the full-field optical coherence tomography (OCT) microscope to the characterisation of skin morphology is described. An automated procedure for analysis and interpretation of the OCT data has been developed which provides measures of the laterally averaged depth profiles of the skin reflectance. The skin at the dorsal side of the upper arm of 22 patients with Type 1 Diabetes Mellitus has been characterised in a non-contact way. The OCT signal profile was compared with the optical histological data obtained with a commercial confocal microscope (CM). The highest correlation to the epidermal thickness (ET) obtained using CM was found for the distance from the entrance OCT peak to the first minimum of the reflection profile (R2=0.657, p<0.0001). The distance to the second OCT reflection peak was found to be less correlated to ET (R2=0.403, p=0.0009).

A further analysis was undertaken to explore the relation between the subjects’ demographical data and the OCT reflection profile. The distance to the second OCT peak demonstrated a correlation with a marginal statistical significance for the body-mass index (positive correlation with p=0.01) and age (negative correlation with p=0.062). At the same time the amplitude of the OCT signal, when compensated for signal attenuation with depth, is negatively correlated with age (p<0.0002). We suggest that this may be an effect of photo degradation of the dermal collagen.

In the patient population studied, no relation could be determined between the measured skin morphology and the duration of diabetes or concentration of glycated haemoglobin in the blood.

© 2009 OSA/SPIE

PDF Article
More Like This
Non-Destructive Detection of Defects in Artificial Skin Tissue by Optical Coherence Tomography

R. Schmitt, U. Marx, A. Heymer, and M. Kaufmann
7372_2F European Conference on Biomedical Optics (ECBO) 2009

Characterizations of individual human red blood cells from patients with diabetes mellitus

SangYun Lee, Seongsoo Jang, HyunJoo Park, and YongKeun Park
PDP_T11_1005 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2015

Diagnostic Potential of Optical Coherence Tomography in Non-Melanoma Skin Cancer - A Clinical Study

Mette Mogensen, Lars Thrarie, Thomas Martini Jørgensen, and Gregor B.E. Jemec
6627_7 European Conference on Biomedical Optics (ECBO) 2007

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.