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Functional Thermal Imaging of Skin Tissue Using the Discrete Thermal Time Constants Spectrum

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Information Technology in Biomedicine (ITIB 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1011))

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Abstract

In this paper we present functional thermal imaging using InfraRed (IR) thermography to measure temperature rise in a skin tissue in transient state after weak cooling. Skin tissue is the multilayer complex biological structure. It can be modelled using thermal-electrical analogy by Foster and/or Cauer networks consisting of thermal resistances and capacitances \(R_{th}-C_{th}\). The proposed methodology allows identifying thermal time constants of a multilayer biomedical structure. The distributions of parameters used for approximation temperature evolution at the upper surface of the skin tissue with psoriasis are presented. They correlate with the inflammation areas of the skin.

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Author information

Authors and Affiliations

  1. Lodz University of Technology, Institute of Electronics, 211/215 Wólczańska Str., 90-924, Lódź, Poland

    Maria Strąkowska, Robert Strąkowski & Michał Strzelecki

Authors
  1. Maria Strąkowska
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  2. Robert Strąkowski
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  3. Michał Strzelecki
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Corresponding author

Correspondence to Maria Strąkowska .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

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Strąkowska, M., Strąkowski, R., Strzelecki, M. (2019). Functional Thermal Imaging of Skin Tissue Using the Discrete Thermal Time Constants Spectrum. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_1

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