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Journal of Biomedical Optics

Visualization of peripheral vasodilative indices in human skin by use of red, green, blue images
Author(s): Izumi Nishidate; Noriyuki Tanaka; Tatsuya Kawase; Takaaki Maeda; Tomonori Yuasa; Yoshihisa Aizu; Tetsuya Yuasa; Kyuichi Niizeki
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Paper Abstract

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.

Paper Details

Date Published: 17 December 2012
PDF: 10 pages
J. Biomed. Opt. 18(6) 061220 doi: 10.1117/1.JBO.18.6.061220
Published in: Journal of Biomedical Optics Volume 18, Issue 6
Show Author Affiliations
Izumi Nishidate, Tokyo Univ. of Agriculture and Technology (Japan)
Noriyuki Tanaka, Tokyo Univ. of Agriculture and Technology (Japan)
Tatsuya Kawase, Tokyo Univ. of Agriculture and Technology (Japan)
Takaaki Maeda, Kushiro National College of Technology (Japan)
Tomonori Yuasa, Muroran Institute of Technology (Japan)
Yoshihisa Aizu, Muroran Institute of Technology (Japan)
Tetsuya Yuasa, Yamagata Univ. (Japan)
Kyuichi Niizeki, Yamagata Univ. (Japan)


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