Dielectric properties of the tissues with different histological structure: Ex vivo study

Authors

  • Ivan Bocharin Privolzhsky Research Medical University, Nizhny Novgorod, Russia
  • Andrew Martusevich Sechenov University, Moscow, Russia https://orcid.org/0000-0002-0818-5316
  • Vladimir Nazarov Sechenov University, Moscow, Russia https://orcid.org/0000-0002-7197-2048
  • Elena S. Golygina Privolzhsky Research Medical University, Nizhny Novgorod, Russia
  • Inessa A. Minenko Sechenov University, Moscow, Russia
  • Mikhail Yu. Artamonov MJA Research and Development, Inc., USA

DOI:

https://doi.org/10.18006/2022.10(2).451.455

Keywords:

Dielectric properties, Biological tissues, Near-field resonance microwave sensing, Dielectric permittivity, Conductivity

Abstract

This study aimed to estimate the dielectric properties of tissues with different histological structures. For this, specimens of fibrous (n=9), muscular (n=7), and fatty (n=11) human tissues were studied. The estimation of dielectric permittivity and conductivity of these specimens was tested with a program and apparatus device for near-field resonance microwave sensing, including 5 applicators with different depths of study. Results of the study demonstrated that this technology can visualize the shape, localization, and linear decisions of biological objects. The currently used method allows distinguishing the tissue histological type. It was stated that fibrous tissue has a maximal level of median and highest dielectric permittivity, and the minimal value of this parameter was fixed for fatty specimens (in 4.26 and 4.53 times lower than in fibrous one, respectively). Muscular tissue has an intermediate value of dielectric permittivity, approaching a level close to fibrous tissue.

References

Arsenyev, A.V., Volchenko, A.N., Likhacheva, L.V. & Pechersky, V.I. (2011). Application of the RF-near-field sounding method in diagnostics of biological objects. Scientific and Technical Bulletin of Information Technologies, Mechanics and Optics, 2, 154.

Baloshin, Y.A., Sorokin, A.A. & Volchenko, A.N. (2011). Electrodynamic model of HF near-field sensing of physical objects. Proceedings of Universities. Instrumentation, 12, 68.

Bogomolova, E.B., Martusevich, A.K., Klemenova I.A. et al. (2017). Application of modern imaging methods in assessing the condition and predicting the development of pathological scars. Medicine 3, 58.

Gladkova, N.D. & Sergeev, A.M. (2007). Manual of optical coherence tomography, M. Fizmatlit.

Hayashi, Y., Miura, N., Shinyashiki, N. & Yagihara, S. (2005). Free water content and monitoring of healing processes of skin burns studied by microwave dielectric spectroscopy in vivo. Physics in Medicine & Biology, 50 (4), 8. DOI: https://doi.org/10.1088/0031-9155/50/4/003

Ida, T., Iwazaki, H., Kawaguchi, Y. et al. (2016) Burn depth assessments by photoacoustic imaging and laser Doppler imaging. Wound Repair and Regeneration, 24(2), 349-355. DOI: https://doi.org/10.1111/wrr.12374

Kostrov, A.V., Smirnov, A.I., Yanin, D.V. et al. (2005). Resonant near-field microwave diagnostics of inhomogeneous media. Izvestiya RAS Physical series, 69 (12), 1716. DOI: https://doi.org/10.1109/CRMICO.2005.1565173

Martusevich, A.K., Krasnova, S.Y., Galka, A.G., Peretyagin, P.V. & Kostrov, A.V. (2018). Near-field resonant microwave sounding as a method of studying the deep structure of a burn wound in an experiment. Modern technologies in medicine 10 (3), 109. DOI: https://doi.org/10.17691/stm2018.10.3.15

Martusevich, A.K., Yanin, D.V., Bogomolova, E.B., Galka, A.G., Klemenova, I.A. & Kostrov, A.V. (2017). Possibilities and prospects of using microwave tomography in skin condition assessment. Biomedical Radioelectronics 12, 3.

Naito, S., Hoshi, M. & Mashimo, S. (1997). In vivo dielectric analysis of free water content of biomaterials by time domain reflectometry. Analytical Biochemistry, 251 (2), 163. DOI: https://doi.org/10.1006/abio.1997.2256

Raicu, V., Kitagawa, N., & Irimajiri, A. (2000). A quantitative approach to the dielectric properties of the skin. Physics in Medicine & Biology, 45 (2), 1. DOI: https://doi.org/10.1088/0031-9155/45/2/101

Reznik, A.N. & Yurasova, N.V. (2004). Near-field microwave tomography of biological media. Journal of Technical Physics 74 (4), 108. DOI: https://doi.org/10.1134/1.1736920

Reznik, A.N. & Yurasova, N.V. (2006). Detection of contrast formations inside biological media using near-field microwave diagnostics. Journal of Technical Physics 76 (1), 90. DOI: https://doi.org/10.1134/S1063784206010142

Schertlen, R., Pivit, F., & Wiesbeck, W. (2002). Wound diagnostics with microwaves. Biomedical technology (Berlin) 47 (1, 2), 672. https://doi.org/10.1515/bmte.2002.47.s1b.672. DOI: https://doi.org/10.1515/bmte.2002.47.s1b.672

Turchin, I.V. (2016) Methods of optical biomedical imaging: from subcellular structures to tissues and organs. Advances in Physical Sciences 186 (5), 550. DOI: https://doi.org/10.3367/UFNr.2015.12.037734

Downloads

Published

2022-04-30

How to Cite

Bocharin, I., Martusevich, A., Nazarov, V., Golygina, E. S. ., Minenko, I. A. ., & Artamonov, M. Y. . (2022). Dielectric properties of the tissues with different histological structure: Ex vivo study. Journal of Experimental Biology and Agricultural Sciences, 10(2), 451–455. https://doi.org/10.18006/2022.10(2).451.455

Issue

Section

RESEARCH ARTICLES

Categories