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Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 1. Mathematica. Physica, 2015, Issue 6(31), Pages 31–71 (Mi vvgum86)  

This article is cited in 7 scientific papers (total in 7 papers)

Applied mathematics

Problems of measurement and modeling of thermal and radiation fields in biological tissues: analysis of microwave thermometry dat

A. G. Losev, A. V. Khoperskov, A. S. Astakhov, H. M. Suleymanova

Volgograd State University

Abstract: One of the current problems at the interface of medicine, tool engineering, mathematical modeling and data mining is a creation of new generation of medical devices and methods of functional diagnostics based on dynamic mapping of physical fields and radiation of human body. One promising approach is the microwave radiometry as a biophysical method of non-invasive survey, which is measuring the internal and surface tissue temperature from the intensity of the thermal radiation in the microwave and infrared ranges. Analysis of domestic and foreign literature on medical microwave radiometry apparatus showed that now many questions of principle technology of highly informative receivers for thermal electromagnetic radiation in relation to medical problems are solved. Both abroad and in our country there is an intensive study of the diagnostic capabilities of radiometry in different wavelength ranges in various fields of applied medicine. However, the development of effective methods of medical diagnosis has an obstacle as the lack of sufficient quantitative and qualitative description of the behavior of temperature fields in various human organs as in the presence of pathological processes, so in their absence. The authors presented review analysis of the works devoted to the description, mathematical modeling and interpretation of data obtained from microwave radiometry, and it is one of the steps to solve this problem.

Keywords: microwave radiometry, singularities of the spatiotemporal temperature distributions in biological tissues, medical data mining, mammology, mathematical modeling.

Funding Agency Grant Number
Russian Foundation for Basic Research 15-47-02475-__
15-47-02642-__


DOI: https://doi.org/10.15688/jvolsu1.2015.6.3

Full text: PDF file (3259 kB)
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UDC: 004.89
BBK: 55.6

Citation: A. G. Losev, A. V. Khoperskov, A. S. Astakhov, H. M. Suleymanova, “Problems of measurement and modeling of thermal and radiation fields in biological tissues: analysis of microwave thermometry dat”, Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 1. Mathematica. Physica, 2015, no. 6(31), 31–71

Citation in format AMSBIB
\Bibitem{LosKhoAst15}
\by A.~G.~Losev, A.~V.~Khoperskov, A.~S.~Astakhov, H.~M.~Suleymanova
\paper Problems of measurement and modeling of thermal and radiation fields in biological tissues: analysis of microwave thermometry dat
\jour Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 1. Mathematica. Physica
\yr 2015
\issue 6(31)
\pages 31--71
\mathnet{http://mi.mathnet.ru/vvgum86}
\crossref{https://doi.org/10.15688/jvolsu1.2015.6.3}


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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. M. V. Polyakov, A. V. Khoperskov, “Matematicheskoe modelirovanie prostranstvennogo raspredeleniya radiatsionnogo polya v biotkani: opredelenie yarkostnoi temperatury dlya diagnostiki”, Vestn. Volgogr. gos. un-ta. Ser. 1, Mat. Fiz., 2016, no. 5(36), 73–84  mathnet  crossref
    2. A. G. Losev, A. V. Zenovich, O. A. Bochkarev, V. V. Levshinskii, “Intellektualnyi analiz mnogomernykh termometricheskikh dannykh v meditsinskoi diagnostike”, Vestn. Volgogr. gos. un-ta. Ser. 1, Mat. Fiz., 2016, no. 5(36), 150–161  mathnet  crossref
    3. A. V. Zenovich, V. A. Glazunov, A. S. Oparin, F. G. Primachenko, “Algoritmy prinyatiya reshenii v konsultativnoi intellektualnoi sisteme diagnostiki molochnykh zhelez”, Vestn. Volgogr. gos. un-ta. Ser. 1, Mat. Fiz., 2016, no. 6(37), 141–154  mathnet  crossref
    4. M. V. Polyakov, A. V. Khoperskov, A. V. Svetlov, “Simulation modeling of radiation field in biological tissue of mammary gland”, J. Comp. Eng. Math., 4:3 (2017), 3–10  mathnet  crossref  mathscinet  elib
    5. A. G. Losev, V. V. Levshinskii, “Intellektualnyi analiz dannykh mikrovolnovoi radiotermometrii v diagnostike raka molochnoi zhelezy”, Matematicheskaya fizika i kompyuternoe modelirovanie, 20:5 (2017), 49–62  mathnet  crossref
    6. A. V. Zenovich, V. I. Grebnev, F. G. Primachenko, “Algoritmy klassifikatsii zabolevanii parnykh organov na osnove neirosetei i nechetkikh mnozhestv”, Matematicheskaya fizika i kompyuternoe modelirovanie, 20:6 (2017), 26–37  mathnet  crossref
    7. E. A. Mazepa, O. V. Grishina, V. V. Levshinskii, Kh. M. Suleimanova, “Ob unifikatsii metoda analiza dannykh mikrovolnovoi radiotermometrii”, Matematicheskaya fizika i kompyuternoe modelirovanie, 20:6 (2017), 38–50  mathnet  crossref
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