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Evaluation of peripheral vasodilative indices in skin tissue of type 1 diabetic rats by use of RGB images

  • Special Section: Regular Paper
  • The 5th Asian and Pacific-Rim Symposium on Biophotonics, (APBP’15), Yokohama, Japan
  • Published:
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Abstract

We investigated a method to evaluate the arterial inflow and the venous capacitance in the skin tissue of streptozotocin-induced type 1 diabetic rats from RGB digital color images. The arterial inflow and the venous capacitance in the dorsal reversed McFarlane skin flap are calculated based on the responses of change in the total blood concentration to occlusion of blood flow to and from the flap tissues at a pressure of 50 mmHg. The arterial inflow and the venous capacitance in the skin flap tissue were significantly reduced in type 1 diabetic rat group compared with the non-diabetic rat group. The results of the present study indicate the possibility of using the proposed method for evaluating the peripheral vascular dysfunctions in diabetes mellitus.

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Acknowledgments

Part of this work was supported by the JGC-S Scholarship foundation, Japan, and by a Grant-in-Aid for Scientific Research from the Japanese Society for the Promotion of Science.

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Authors and Affiliations

  1. Graduate School of Bio-application and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan

    Noriyuki Tanaka & Izumi Nishidate

  2. Faculty of Science, Division II, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku, Tokyo, 162-8601, Japan

    Kazuya Nakano

  3. Graduate School of Mechanical Systems and Materials Engineering, Muroran Institute of Technology, Muroran, Hokkaido, 050-8588, Japan

    Yoshihisa Aizu

  4. Graduate School of Biosystem Engineering, Yamagata University, Yonezawa, Yamagata, 992-8510, Japan

    Kyuichi Niizeki

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  1. Noriyuki Tanaka
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Correspondence to Izumi Nishidate.

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Tanaka, N., Nishidate, I., Nakano, K. et al. Evaluation of peripheral vasodilative indices in skin tissue of type 1 diabetic rats by use of RGB images. Opt Rev 23, 323–331 (2016). https://doi.org/10.1007/s10043-015-0174-6

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  • DOI: https://doi.org/10.1007/s10043-015-0174-6

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