Numerical Modeling of the Internal Temperature in the Mammary Gland | SpringerLink
Skip to main content
Springer Nature Link
Log in

Numerical Modeling of the Internal Temperature in the Mammary Gland

  • Conference paper
  • First Online:
Health Information Science (HIS 2017)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Akki, R.S., Arunachalam, K.: Breast tissue phantoms to assist compression study for cancer detection using microwave radiometry. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1119–1122 (2014). doi:10.1109/EMBC.2014.6943791

  2. Avila-Castro, I.A., Hernandez-Martinez, A.R., Estevez, M., Cruz, M., Esparza, R., Perez, R., Rodriguez, A.L.: Thorax thermographic simulator for breast pathologies. J. Appl. Res. Technol. 15, 143–151 (2017). doi:10.1016/j.jart.2017.01.008

    Article  Google Scholar 

  3. Bardati, F., Iudicello, S.: Modeling the visibility of breast malignancy by a microwave radiometer. Biomed. Eng. 55, 214–221 (2008). doi:10.1109/TBME.2007.899354

    Google Scholar 

  4. Barett, A.H., Myers, P.C., Sadowsky, N.L.: Microwave thermography in the detection of breast canser. Am. J. Roentgenol. 34(2), 365–368 (1980)

    Article  Google Scholar 

  5. Carr, K.L.: Microwave radiometry: its importance to the detection of cancer. IEEE MTT 37, 12–24 (1989)

    Article  Google Scholar 

  6. Datta, A., Rakesh, V.: An Introduction to Modeling of Transport Processes: Applications to Biomedical Systems. Cambridge University Press, 503 p. (2009)

    Google Scholar 

  7. Foster, K.R., Cheever, E.A.: Microwave radiometry in biomedicine: a reappraisal. Bioelectromagnetics 13(6), 567–579 (1992)

    Article  Google Scholar 

  8. Gonzalez, F.J.: Thermal simulation of breast tumors. Revista Mexicana de Fisica 53, 323–326 (2007)

    Google Scholar 

  9. Kurushin, A.A., Plastikov, A.N.: Design of Microwave Devices in CST Microwave Studio. MEI Press, 155 p

    Google Scholar 

  10. Losev, A.G., Khoperskov, A.V., Astakhov, A.S., Suleymanova, K.M.: Problems of measurement and modeling of thermal and radiation fields in biological tissues: analysis of microwave thermometry data. Sci. J. Volgograd State Univ. Math. Phys. 6(31), 98–142 (2015). doi:10.15688/jvolsu1.2015.6.3

    Google Scholar 

  11. Novochadov, V.V., Shiroky, A.A., Khoperskov, A.V., Losev, A.G.: Comparative modeling the thermal transfer in tissues with volume pathological focuses and tissue engineering constructs: a pilot study. European Journal of. Mol. Biotechnol. 14(4), 125–138 (2016). doi:10.13187/ejmb.2016.14.125

    Google Scholar 

  12. Polyakov, M.V., Khoperskov, A.V.: Mathematical modeling of radiation fields in biological tissues: the definition of the brightness temperature for the diagnosis. Sci. J. Volgograd State Univ. Math. Phys. 5(36), 73–84 (2016). doi:10.15688/jvolsu1.2016.5.7

    Google Scholar 

  13. Shah, T.H., Siores, E., Daskalakis, C.: Non-invasive devices for early detection of breast tissue oncological abnormalities using microwave radio thermometry. In: Gali-Muhtasib, H. (eds.) Advances in Cancer Therapy. InTech, pp. 447–476 (2011). doi:10.5772/23586

  14. Vesnin, S.G., Sedakin, K.M.: Development of antenna-applicator series for tissue temperature non-invasive measurement of a human. Eng. J. Sci. Innov. 11, 1–18 (2012)

    Google Scholar 

  15. Vrba, J., Oppl, L., Vrbova, B.: Microwaves in medical diagnostics and treatment. In: 24th International Conference Radioelektronika, Bratislava, pp. 1–6 (2014). doi:10.1109/Radioelek.2014.6828405

Download references

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).

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. V. Khoperskov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. T. V. Zamechnic
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69181-7

  • Online ISBN: 978-3-319-69182-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation