Journal
SENSORS
Volume 13, Issue 6, Pages 7902-7915Publisher
MDPI
DOI: 10.3390/s130607902
Keywords
multi-spectral imaging; diffuse reflectance; skin; melanin; oxygenated hemoglobin; deoxygenated hemoglobin; blood; tissue oxygen saturation; multiple regression analysis; Monte Carlo simulation
Funding
- Japanese Society for the Promotion of Science
- JGC-S Scholarship foundation, Japan
- Grants-in-Aid for Scientific Research [24650344, 23560492] Funding Source: KAKEN
Ask authors/readers for more resources
A multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin concentration, blood concentration, and oxygen saturation in human skin tissue. The technique utilizes the Wiener estimation method to deduce spectral reflectance images instantaneously from an RGB image. Using the resultant absorbance spectrum as a response variable and the extinction coefficients of melanin, oxygenated hemoglobin and deoxygenated hemoglobin as predictor variables, multiple regression analysis provides regression coefficients. Concentrations of melanin and total blood are then determined from the regression coefficients using conversion vectors that are numerically deduced in advance by the Monte Carlo simulations for light transport in skin. Oxygen saturation is obtained directly from the regression coefficients. Experiments with a tissue-like agar gel phantom validated the method. In vivo experiments on fingers during upper limb occlusion demonstrated the ability of the method to evaluate physiological reactions of human skin.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available