Biomedical Engineering

, Volume 53, Issue 1, pp 60–65 | Cite as

Modeling of Thermal Radiation by the Kidney in the Microwave Range

  • M. K. Sedankin
  • V. Yu. LeushinEmail author
  • A. G. Gudkov
  • S. G. Vesnin
  • D. A. Khromov
  • I. O. Porokhov
  • I. A. Sidorov
  • S. V. Agasieva
  • E. N. Gorlacheva

Thermal radiation by the multilayered structure of the part of the body containing the kidney was modeled for adaptation of waveguide antennas developed for use in breast examination to use in urology. These calculations confirmed the possibility of using microwave radiometry to detect vesicoureteral reflux and other renal pathologies.


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  1. 1.
    Ermolaeva, Yu. A., et al., “Current concepts of vesicoureteral reflux and reflux nephropathy in childhood (literature review),”Sib. Med. Zh., 23, No. 4-2, 111-119 (2008).Google Scholar
  2. 2.
    Borisova, O. A., Diagnostic Effectiveness of Radionuclide, Ultrasound, and X-Ray Studies of Children with Vesico-Ureteral Reflux [in Russian], Dissertation for Master’s Degree in Medical Sciences, Moscow (2010).Google Scholar
  3. 3.
    Stauffer, P. et al., “Microwave radiometry for non-invasive detection of vesicoureteral reflux (VUR) following bladder warming,” Proc. SPIE Int. Soc. Opt. Eng., 7901, 1-18 (2011).Google Scholar
  4. 4.
    Arunachalam, K. et al., “Modeling the detectability of vesicoureteral reflux using microwave radiometry,” Phys. Med. Biol., 55, No. 18, 5417-5435 (2010).CrossRefGoogle Scholar
  5. 5.
    Avdoshin, V. P., Andryukhin, M. I., and Shirshov, V. N., Deep Radio Thermometry in the Diagnosis and Assessment of Treatment Efficacy in Urological Diseases [in Russian], Quantum Medicine Association, Moscow (2007).Google Scholar
  6. 6.
    Avdoshin, V. P. et al., “Radiothermometry in the diagnosis of acute pyelonephritis,” Vestn. RUDN Ser. Med., No. 2, 67-69 (2002).Google Scholar
  7. 7.
    Gabriel, S., Lau, R. W., and Gabriel, C., “The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues,” Phys. Med. Biol., No. 41, 2271-2293 (1996).Google Scholar
  8. 8.
    Mun, P. S. et al., “A study of dielectric properties of proteinuria between 0. 2 GHz and 50 GHz,” PLOS ONE, 10, No. 6, 12 (2015).CrossRefGoogle Scholar
  9. 9.
    Arunachalam, K. et al., “Non-invasive vesicoureteral reflux detection: Heating risk studies for a new device,” J. Pediatr. Urol., 6, 624-630 (2011).Google Scholar
  10. 10.
    Gulyaev, Yu. V., Gudkov, A. G., Leushin, V. Yu., et al., “Devices for the diagnosis of pathological changes in the human body by microwave radiometry,” Nanotekhnol. Razrabot. Primen. XXI Vek, 9, No. 2, 27-45 (2017).Google Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • M. K. Sedankin
    • 1
  • V. Yu. Leushin
    • 2
    Email author
  • A. G. Gudkov
    • 3
  • S. G. Vesnin
    • 4
  • D. A. Khromov
    • 5
  • I. O. Porokhov
    • 6
  • I. A. Sidorov
    • 7
  • S. V. Agasieva
    • 8
  • E. N. Gorlacheva
    • 4
  1. 1.Main Research and Testing Robotics Centre of the Ministry of Defense of the Russian Federation (MRTRC)MoscowRussia
  2. 2.Hyperion Ltd.MoscowRussia
  3. 3.Bauman Moscow State Technical UniversityMoscowRussia
  4. 4.RES CompanyMoscowRussia
  5. 5.National Research University “Moscow Power Engineering Institute”MoscowRussia
  6. 6.A. I. Berg Central Scientific Research Radio Engineering InstituteMoscowRussia
  7. 7.JSC Radio Engineering Corporation “Vega”MoscowRussia
  8. 8.Peoples’ Friendship University of RussiaMoscowRussia

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