Document Detail

Visualization of peripheral vasodilative indices in human skin by use of red, green, blue images.
MedLine Citation:
PMID:  23264964     Owner:  NLM     Status:  In-Process    
We propose a method to visualize the arterial inflow, the vascular resistance, and the venous capacitance in the skin tissue from red, green, blue (RGB) digital color images. The arterial inflow and the venous capacitance in the skin tissue are visualized based on an increase in the rate of change in the total blood concentration and the change of the total blood concentration during upper limb occlusion at a pressure of 50 mmHg. The resultant arterial inflow with the measured mean arterial pressure also provides an image of the vascular resistance in human skin. The arterial inflow, the vascular resistance, and the venous capacitance acquired by the method are well correlated with those obtained from the conventional strain-gauge plethysmograph. The correlation coefficients R between the estimated values by the method and the measurements by the SPG are calculated to be 0.83 (P < 0.001) for the arterial inflow, 0.77 (P < 0.01) for the vascular resistance, and 0.77 (P < 0.01) for the venous capacitance. The arterial inflow and the venous capacitance in the skin tissue are significantly higher in active subjects compared with the sedentary subjects, whereas the vascular resistance was significantly lower in the active subjects compared with the sedentary subjects. The results of the present study indicate the possibility of using the proposed method for evaluating the peripheral vascular functions in human skin.
Izumi Nishidate; Noriyuki Tanaka; Tatsuya Kawase; Takaaki Maeda; Tomonori Yuasa; Yoshihisa Aizu; Tetsuya Yuasa; Kyuichi Niizeki
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of biomedical optics     Volume:  18     ISSN:  1560-2281     ISO Abbreviation:  J Biomed Opt     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2012-12-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9605853     Medline TA:  J Biomed Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  061220     Citation Subset:  IM    
Tokyo University of Agriculture and Technology, Graduate School of Bio-application and Systems Engineering, Koganei, Japan.
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