Development of antipodal Vivaldi antenna for microwave brain stroke imaging system

  • Authors

    • Azahari Salleh Universiti Teknikal Malaysia Melaka
    • Ching Chiou Yang Universiti Kebangsaan Malaysia
    • Mandeep Singh Jit Singh Universiti Kebangsaan Malaysia
    • Mohammad Tariqul Islam Universiti Kebangsaan Malaysia
    2019-08-25
    https://doi.org/10.14419/ijet.v8i3.19933
  • Antipodal Vivaldi Antenna, Brain Stroke, Computer Simulation Technology, Microwave Imaging System, Matlab.
  • Abstract

    In recent years, Microwave Imaging (MWI) has offered an effective solution in medical applications, especially in detecting abnormal body tissues in the human brain. Among the popular detection methods currently being used in hospitals are Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. But the constraints faced by this method include the high cost of equipment and its large size and static nature. In this article, the antipodal Vivaldi antenna for the microwave brain stroke imaging system is designed and presented. Nine antipodal Vivaldi antennas were proposed and designed using Computer Simulation Technology (CST) software operating from 2.06 GHz to 2.61 GHz. A Radio Frequency (RF) switch was used to enable the antenna sequentially received the backscattered signal from the head phantom. Then, MATLAB software was used to interface between the Python algorithm and the Vector Network Analyzer (VNA) for the purpose of data collection. The Python algorithm was able to control the rotation of the platform, which rotated in 50 positions. The fabricated antennas are based on a Rogers RO4350B substrate and show good agreement between the measured result and simulated result. The designed antennas were able to achieve 86.92% average efficiency, 2.45 dBi gain and stable radiation directivity. Finally, from the variation of the color in color plot, a target structure was successfully detected.

     

     

  • References

    1. [1] M. Benedetti, M. Donelli, a. Massa, and a. Rosani, “An innovative microwave imaging technique for non destructive evaluation: applications to civil structures monitoring and biological bodies inspection,†2004 IEEE Int. Work. Imaging Syst. Tech. (IEEE Cat. No.04EX896), vol. 55, no. 6, (2004) pp. 1878–1884.

      [2] M. Donelli, “Microwave Imaging,†in Imaging with Electromagnetic Spectrum, Springer, (2014). https://doi.org/10.1007/978-3-642-54888-8_9.

      [3] N. K. Nikolova, Introduction to microwave imaging. Cambridge University Press, (2017). https://doi.org/10.1017/9781316084267.

      [4] A. T. Mobashsher and A. M. Abbosh, “On-site Rapid Diagnosis of Intracranial Hematoma using Portable Multi-slice Microwave Imaging System,†Sci. Rep., vol. 6, (2016), 37620. https://doi.org/10.1038/srep37620.

      [5] L. Wang, “Microwave Sensors for Breast Cancer Detection,†Sensors, vol. 18, no. 2, (2018) p. 655. https://doi.org/10.3390/s18020655.

      [6] A. T. Mobashsher and A. M. Abbosh, “Artificial human phantoms: Human proxy in testing microwave apparatuses that have electromagnetic interaction with the human body,†IEEE Microw. Mag., vol. 16, no. 6, (2015) pp. 42–62. https://doi.org/10.1109/MMM.2015.2419772.

      [7] A. T. Mobashsher and A. Abbosh, “Microwave imaging system to provide portable-low-powered medical facility for the detection of intracranial hemorrhage,â€1st Australian Microwave Symposium, Conference Proceedings (2014), pp. 23–24, https://doi.org/10.1109/AUSMS.2014.7017347.

      [8] M. A. Yarlequé Medina and A. Villavicencio Paz, “Microwave Imaging for Breast Cancer Detection : Experimental comparison of Confocal and Holography Algorithms,†IEEE ADESCON (2016), pp. 0–3, 10.1109/ANDESCON.2016.7836226.

      [9] M. T. Islam, M. Z. Mahmud, N. Misran, J. I. Takada, and M. Cho, “Microwave Breast Phantom Measurement System with Compact Side Slotted Directional Antenna,†IEEE Access, vol. 5, no. c, pp. 5321–5330, 2017. https://doi.org/10.1109/ACCESS.2017.2690671.

      [10] A. Rahman, M. T. Islam, M. J. Singh, S. Kibria, and M. Akhtaruzzaman, “Electromagnetic Performances Analysis of an Ultra-wideband and Flexible Material Antenna in Microwave Breast Imaging: To Implement A Wearable Medical Bra,†Sci. Rep., vol. 6,(2016), pp. 1–11. https://doi.org/10.1038/srep38906.

      [11] M. Persson et al., “Microwave-based stroke diagnosis making global prehospital thrombolytic treatment possible,†IEEE Trans. Biomed. Eng., vol. 61, no. 11, (2014), pp. 2806–2817. https://doi.org/10.1109/TBME.2014.2330554.

      [12] B. J. Mohammed, A. M. Abbosh, S. Mustafa, and D. Ireland, “Microwave system for head imaging,†IEEE Trans. Instrum. Meas., vol. 63, no. 1, (2014), pp. 117–123. https://doi.org/10.1109/TIM.2013.2277562.

      [13] P. Tournier et al., “Microwave Tomography for Brain Stroke Imaging,†IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, (2017), pp. 29–30, 10.1109/APUSNCURSINRSM.2017.8072057.

      [14] M. Rashed, I. Faruque, M. T. Islam, and N. Misran, “Effect of Human Head Shapes for Mobile Phone Exposure on Electromagnetic Absorption,†Inf. MIDEM, vol. 40, no. 3, pp. 232–237, 2010.

      [15] M. T. Islam and M. R. I. Faruque, “Reduction of Specific Absorption Rate (SAR) in The Human Head with Ferrite Material and Metamaterial,†Prog. Electromagn. Res. C, vol. 9, pp. 47–58, 2009. https://doi.org/10.2528/PIERC09062303.

      [16] N. A.M., “Intracranial hemorrhage,†Am. J. Respir. Crit. Care Med., vol. 184, no. 9, (2011), pp. 998–1006. https://doi.org/10.1164/rccm.201103-0475CI.

      [17] D. Ireland and M. Bialkowski, “Microwave Head Imaging for Stroke Detection,†Prog. Electromagn. Res. M, vol. 21, (2011), pp. 163–175. https://doi.org/10.2528/PIERM11082907.

      [18] A. T. Mobashsher, K. S. Bialkowski, A. M. Abbosh, and S. Crozier, “Design and experimental evaluation of a non-invasive microwave head imaging system for intracranial haemorrhage detection,†PLoS One, vol. 11, no. 4, (2016), pp. 1–29. https://doi.org/10.1371/journal.pone.0152351.

      [19] A. T. Mobashsher, A. Mahmoud, and A. M. Abbosh, “Portable Wideband Microwave Imaging System for Intracranial Hemorrhage Detection Using Improved Back-projection Algorithm with Model of Effective Head Permittivity,†Sci. Rep., vol. 6, (2016), no.20459. https://doi.org/10.1038/srep20459.

      [20] J. Vymazal, A. M. Rulseh, J. Keller, and L. Janouskova, “Comparison of CT and MR imaging in ischemic stroke,†Insights into Imaging, vol. 3, no. 6. (2012), pp. 619–627. https://doi.org/10.1007/s13244-012-0185-9.

      [21] M. M. Islam, M. T. Islam, M. R. I. Faruque, M. Samsuzzaman, N. Misran, and H. Arshad, “Microwave imaging sensor using compact metamaterial UWB antenna with a high correlation factor,†Materials (Basel)., vol. 8, no. 8, (2015), pp. 4631–4651. https://doi.org/10.3390/ma8084631.

      [22] H. Yu, G. Yang, Q. Wu, and M. Su, “Design and Optimization of UWB Vivaldi Antenna for Brain Tumor Detection,†IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT), (2016), pp. 2–4 https://doi.org/10.1109/ICMMT.2016.7762401.

      [23] A. T. Mobashsher and A. M. Abbosh, “Performance of directional and omnidirectional antennas in wideband head imaging,†IEEE Antennas Wirel. Propag. Lett., vol. 15, (2016), pp. 1618–1621. https://doi.org/10.1109/LAWP.2016.2519527.

      [24] M. Amiri, F. Tofigh, A. Ghafoorzadeh-Yazdi, and M. Abolhasan, “Exponential Antipodal Vivaldi Antenna with Exponential Dielectric Lens,†IEEE Antennas Wirel. Propag. Lett., vol. 16, (2017), pp. 1792–1795. https://doi.org/10.1109/LAWP.2017.2679125.

      [25] G. Veerendra Nath, K. Nageswara Rao, and K. Hari Kishore, “A slot loaded compact antipodal vivaldi antenna design for RADAR applications,†J. Adv. Res. Dyn. Control Syst., vol. 10, no. 7, (2018), pp. 1342–1346. https://doi.org/10.14419/ijet.v7i2.8.10325.

      [26] N. Ardelina, E. Setijadi, P. H. Mukti, and B. Manhaval, “Comparison of array configuration for Antipodal Vivaldi antenna,†in Proceeding - 2015 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2015, (2015), pp. 40–45, 10.1109/ICRAMET.2015.7380771 https://doi.org/10.1109/ICRAMET.2015.7380771.

      [27] D.-C. Chang, L.-D. Fang, W.-H. Fang, and C.-H. Lee, “Tradeoff study of microwave imaging for biomedical application,†2013 IEEE MTT-S Int. Microw. Work. Ser. RF Wirel. Technol. Biomed. Healthc. Appl., (2013), pp. 1–3, 10.1109/IMWS-BIO.2013.6756257. https://doi.org/10.1109/IMWS-BIO.2013.6756257.

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  • How to Cite

    Salleh, A., Chiou Yang, C., Singh Jit Singh, M., & Tariqul Islam, M. (2019). Development of antipodal Vivaldi antenna for microwave brain stroke imaging system. International Journal of Engineering & Technology, 8(3), 162-168. https://doi.org/10.14419/ijet.v8i3.19933

    Received date: 2018-09-20

    Accepted date: 2019-05-29

    Published date: 2019-08-25