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Numerical Modeling of the Internal Temperature in the Mammary Gland

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Health Information Science (HIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10594))

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Abstract

The microwave thermometry method for the diagnosis of breast cancer is based on an analysis of the internal temperature distribution. This paper is devoted to the construction of a mathematical model for increasing the accuracy of measuring the internal temperature of mammary glands, which are regarded as a complex combination of several components, such as fat tissue, muscle tissue, milk lobules, skin, blood flows, tumor tissue. Each of these biocomponents is determined by its own set of physical parameters. Our numerical model is designed to calculate the spatial distributions of the electric microwave field and the temperature inside the biological tissue. We compare the numerical simulations results to the real medical measurements of the internal temperature.

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Acknowledgments

A.V. Khoperskov is thankful to the Ministry of Education and Science of the Russian Federation (project No. 2.852.2017/4.6). M.V. Polyakov and T.V. Zamechnic thanks the RFBR grant and Volgograd Region Administration (No. 15-47-02642).

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Authors and Affiliations

  1. Volgograd State University, Volgograd, Russia

    M. V. Polyakov & A. V. Khoperskov

  2. Volgograd State Medical University, Volgograd, Russia

    T. V. Zamechnic

Authors
  1. M. V. Polyakov
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  2. A. V. Khoperskov
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  3. T. V. Zamechnic
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Corresponding authors

Correspondence to M. V. Polyakov , A. V. Khoperskov or T. V. Zamechnic .

Editor information

Editors and Affiliations

  1. Centre for Applied Informatics, Victoria University, Melbourne, Victoria, Australia

    Siuly Siuly

  2. Vrije University of Amsterdam, Amsterdam, The Netherlands

    Zhisheng Huang

  3. University of Nottingham, Nottingham, United Kingdom

    Uwe Aickelin

  4. Swinburne University of Technology, Melbourne, Victoria, Australia

    Rui Zhou

  5. Victoria University, Melbourne, Victoria, Australia

    Hua Wang

  6. Victoria University, Melbourne, Victoria, Australia

    Yanchun Zhang

  7. Institute for High Energy Physics, Protvino, Russia

    Stanislav Klimenko

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Polyakov, M.V., Khoperskov, A.V., Zamechnic, T.V. (2017). Numerical Modeling of the Internal Temperature in the Mammary Gland. In: Siuly, S., et al. Health Information Science. HIS 2017. Lecture Notes in Computer Science(), vol 10594. Springer, Cham. https://doi.org/10.1007/978-3-319-69182-4_14

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  • DOI: https://doi.org/10.1007/978-3-319-69182-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69181-7

  • Online ISBN: 978-3-319-69182-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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