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Dielectric sensitivity of different antennas types for microwave-based head imaging: numerical study and experimental verification

Published online by Cambridge University Press:  16 July 2020

Jan Tesarik*
Affiliation:
Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic
Tomas Pokorny
Affiliation:
Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic
Jan Vrba Jr
Affiliation:
Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic
*
Author for correspondence: Jan Tesarik, E-mail: jan.tesarik@fbmi.cvut.cz

Abstract

The design of proper antenna element (AE) for microwave-based head imaging or brain stroke detection is a crucial challenge in the development process of microwave imaging (MWI) systems. The main purpose of this paper was to design, fabricate, and experimentally verify the compact and dimensions-reduced H-slot antenna suitable for the new generation of multichannel MWI system for brain stroke detection. The slot antenna type was chosen based on the numerical study of three AEs available in the literature, i.e. bow tie, slot, and waveguide-based. The study was focused on the sensitivity of the antennae (change of magnitude and phase of S21) due to dielectric parameters change or type and diameter of inclusion in a head phantom representing a hemorrhagic (HEM) or ischemic (ISCH) stroke phantom, respectively. Further, the analysis of antenna radiation to lossy medium/air and its immunity against plane wave exposure was carried out. The H-slot antenna was fabricated and experimentally verified (measurements of reflection as well as transmission coefficients) using a liquid head phantom with inserted HEM stroke phantom (both prepared as a mixture of propylene glycol, water, and salt). The phantoms were filled inside the designed two-port test system. Numerical models were validated by comparing calculated and measured S-parameters. The sensitivity of the H-slot antenna to the presence of the HEM stroke phenomenon within the phantom of the head was also demonstrated. The main advantage of the proposed H-slot antenna is its small dimensions, easy, inexpensive, and repeatable fabrication as well as mechanical stability.

Type
Research Paper
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020

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References

WHO (2017) The top 10 causes of death. WHO.Google Scholar
Oral statement of the World Stroke Organisation (WSO) and the European Stroke Organisation (ESO), no. September 2017.Google Scholar
Gabriel, C (1996) Compilation of the dielectric properties of body tissues at RF and microwave frequencies. Technical Report, Department of Physics, King's College London, vol. 1, no. June, p. 276.Google Scholar
Semenov, S, Huynh, T, Williams, T, Nicholson, B and Vasilenko, A (2017) Dielectric properties of brain tissue at 1 GHz in acute ischemic stroke: experimental study on swine. Bioelectromagnetics 38, 158163.CrossRefGoogle Scholar
Persson, M, Fhager, A, Dobsicek Trefna, H, Yu, Y, McKelvey, T, Pegenius, G, Karlsson, JE and Elam, M (2014) Microwave-based stroke diagnosis making global prehospital thrombolytic treatment possible. IEEE Transactions on Biomedical Engineering 61, 28062817.CrossRefGoogle Scholar
Fonarow, GC, Smith, EE, Saver, JL, Reeves, MJ, Hernandez, AF, Peterson, ED, Sacco, RL and Schwamm, LH (2011) Improving door-to-needle times in acute ischemic stroke. Stroke 42, 29832989.Google ScholarPubMed
Fernando, M, Busawon, K, Elsdon, M and Smith, D (2010) Fundamental issues in antenna design for microwave medical imaging applications. In 2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010, pp. 795800.CrossRefGoogle Scholar
Li, X, Jalilvand, M, Sit, YL and Zwick, T (2014) A compact double-layer on-body matched bowtie antenna for medical diagnosis. IEEE Transactions on Antennas and Propagation 62, 18081816.CrossRefGoogle Scholar
Semenov, S, Hopfer, M, Planas, R, Hamidipour, A and Henriksson, T (2017) Electromagnetic tomography for brain imaging: 3D reconstruction of stroke in a human head phantom. 2016 IEEE Conference on Antenna Measurements and Applications CAMA 2016, pp. 14.Google Scholar
Vrba, J and Vrba, D (2015) A microwave metamaterial inspired sensor for non-invasive blood glucose monitoring. Radioengineering 24, 877884.CrossRefGoogle Scholar
Tobon Vasquez, JA, Scapaticci, R, Turvani, G, Bellizzi, G, Joachimowicz, N, Duchêne, B, Tedeschi, E, Casu, MR, Crocco, L and Vipiana, F (2019) Design and experimental assessment of a 2D microwave imaging system for brain stroke monitoring. International Journal of Antennas and Propagation 2019, 112.CrossRefGoogle Scholar
Meaney, PM, Fanning, MW, Raynolds, T, Fox, CJ, Fang, Q, Kogel, CA, Poplack, SP and Paulsen, KD (2007) Initial clinical experience with microwave breast imaging in women with normal mammography. Academic Radiology 14, 207218.CrossRefGoogle ScholarPubMed
Trefná, H and Persson, M (2008) Antenna array design for brain monitoring. 2008 IEEE International Symposium on Antennas and Propagation USNC National Radio Science Meeting APSURSI, pp. 14.CrossRefGoogle Scholar
Takook, P, Persson, M, Gellermann, J and Trefná, HD (2017) Compact self-grounded Bow-Tie antenna design for an UWB phased-array hyperthermia applicator. International Journal of Hyperthermia 33, 387400.CrossRefGoogle ScholarPubMed
Mobashsher, AT, Abbosh, AM and Wang, Y (2014) Microwave system to detect traumatic brain injuries using compact unidirectional antenna and wideband transceiver with verification on realistic head phantom. IEEE Transactions on Microwave Theory and Techniques 62, 18261836.Google Scholar
Scapaticci, R, Di Donato, L, Catapano, I and Crocco, L (2012) A feasibility study on microwave imaging for brain stroke monitoring. Progress in Electromagnetics Research 36, 283301.Google Scholar
Scapaticci, R, Bucci, OM, Catapano, I and Crocco, L (2014) Differential microwave imaging for brain stroke followup. International Journal of Antennas and Propagation 2014, 111.CrossRefGoogle Scholar
Tesarik, J, Fiser, O and Diaz, L (2019) Prototype of simplified microwave imaging system for brain stroke follow up. In Lhotska, L, Sukupova, L, Lacković, I, Ibbott, G (eds), World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/3. Singapore: Springer, 771774.CrossRefGoogle Scholar
Merunka, I, Massa, A, Vrba, D, Fiser, O, Salucci, M and Vrba, J (2019) Microwave tomography system for methodical testing of human brain stroke detection approaches. International Journal of Antennas and Propagation 2019, 19.CrossRefGoogle Scholar
Tesarik, J and Pokorny, T (2019) Dielectric sensitivity of different antennas types for microwave-based head imaging: numerical study. Proceedings of the European Microwave Conference in Central Europe EuMCE 2019, no. May, pp. 504507.Google Scholar
Merunka, I, Fiser, O, Vrba, D and Vrba, J. Comparison of bowtie slot and rectangular waveguide-based antennas for microwave medical imaging. 12th European Conference on Antennas and Propagation (EuCAP 2018), pp. 15.Google Scholar
IEEE 1528–2013 – IEEE recommended practice for determining the peak spatial-average specific absorption rate (SAR) in the human head from wireless communications devices: measurement techniques. [Online]. Available at https://standards.ieee.org/findstds/standard/1528-2013.html. [Accessed: 17-Oct-2010].Google Scholar
Vrba, J (2010) Biological Effects of Electromagnetic Field (Biologické účinky Elektromagentického Pole). Prague: CTU in Prague, Faculty of Electrical Engineering.Google Scholar
Ellison, WJ (2007) Permittivity of pure water, at standard atmospheric pressure, over the frequency range 0–25 THz and the temperature range 0–100 °C. Journal of Physical and Chemical Reference Data 36, 118.CrossRefGoogle Scholar
Lee, EG, Hadimani, RL and Jiles, DC (2016) Population head model repository V1.0. IT'IS Foundation. [Online]. Available at https://itis.swiss/virtual-population/regional-human-models/phm-repository/v1-0/.Google Scholar
Nikolova, NK (2017) Introduction to Microwave Imaging. Cambridge, United Kingdom: Cambridge University Press.CrossRefGoogle Scholar
Tajik, D, Trac, J and Nikolova, NK (2019) Spatial resolution evaluation of a microwave system for breast cancer screening. 13th European Conference on Antennas Propagation, EuCAP 2019, no. EuCAP, pp. 15.Google Scholar
Balanis, CA (2005) Antenna Theory: Analysis and Design, vol. 3rd. Hoboken, New Jersey, USA: John Wiley & Sons Inc.Google Scholar
Pozar, DM (2017) Microwave Engineering, vol. 91. Hoboken, New Jersey, USA: John Wiley & Sons, Inc.Google Scholar
Tesarik, J and Vrba, J (2020) Validation of multilevel 24-port microwave imaging system for brain stroke monitoring on synthetic numerical data. in 14th European Conference on Antennas and Propagation, EuCAP 2020.Google Scholar
Capriotti, T and Murphy, T (2016) Ischemic stroke. In Home Healthcare Now. vol. 34, no. 5. Tampa/St. Petersburg, Florida: StatPearls Publishing, pp. 259266.Google Scholar