DOI QR코드

DOI QR Code

Numerical and experimental assessments of focused microwave thermotherapy system at 925 MHz

  • Kim, Jang-Yeol (Broadcasting & Media Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Lee, Kwang-Jae (Broadcasting & Media Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Kim, Bo-Ra (Broadcasting & Media Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Jeon, Soon-Ik (Broadcasting & Media Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Son, Seong-Ho (Department of Mechanical Engineering, Soonchunhyang University)
  • Received : 2018.03.12
  • Accepted : 2019.03.12
  • Published : 2019.12.06

Abstract

This work investigated three-dimensional (3D) focused microwave thermotherapy (FMT) at 925 MHz for a human tissue mimicking phantom using the time reversal (TR) principle for musculoskeletal disorders. We verified the proposed TR algorithm by evaluating the possibility of 3D beam focusing through simulations and experiments. The simulation, along with the electromagnetic and thermal analyses of the human tissue mimicking phantom model, was conducted by employing the Sim4Life commercial tool. Experimental validation was conducted on the developed FMT system using a fabricated human tissue mimicking phantom. A truncated threshold method was proposed to reduce the unwanted hot spots in a normal tissue region, wherein a beam was appropriately focused on a target position. The validation results of the simulation and experiments obtained by utilizing the proposed TR algorithm were shown to be acceptable. Effective beam focusing at the desired position of the phantom could be achieved.

Keywords

References

  1. P. R. Stauffer, Evolving technology for thermal therapy of cancer, J. Hyperthermia 21 (2005), 731-744. https://doi.org/10.1080/02656730500331868
  2. A. J. Fenn, Adaptive phased array thermotherapy for cancer, Artech House, Norwood, Massachusetts, 2009.
  3. R. B. Roemer, Engineering aspects of hyperthermia therapy, Ann. Rev. Biomed. Eng. 1 (1999), 347-376. https://doi.org/10.1146/annurev.bioeng.1.1.347
  4. M. Converse et al., A computational study of ultra-wideband versus narrowband microwave hyperthermia for breast cancer treatment, IEEE Trans. Microw. Theory Tech. 54 (2006), 2169-2180. https://doi.org/10.1109/TMTT.2006.872790
  5. D. A. M. Iero et al., Thermal and microwave constrained focusing for patient-specific breast cancer hyperthermia: A robustness assessment, IEEE Trans. Antennas Propag. 62 (2014), 814-821. https://doi.org/10.1109/TAP.2013.2293336
  6. J. Y. Kim et al., Study of microwave energy localization in human tissue, in Proc. IEEE AP-S Int. Symp. USNC/URSI National Radio Science Meeting, San Diego, USA, 2017, pp. 219-220.
  7. B. J. Mohammed, A. M. Abbosh, and P. Sharpe, Planar array of corrugated tapered slot antennas for ultrawideband biomedical microwave imaging system, Int. J. RF Microw. Comput.-Aided Eng. 23 (2013), 59-66. https://doi.org/10.1002/mmce.20651
  8. A. Dewantari et al., Analysis of microwave-induced thermoacoustic signal generation using computer simulation, J. Electromagn. Eng. Sci. 16 (2016), 1-6. https://doi.org/10.5515/JKIEES.2016.16.1.1
  9. J. Y. Kim et al., Computational study on focused microwave thermotherapy for knee pathological treatment, IET Microw. Antennas Propag. 12 (2018), 1901-1907. https://doi.org/10.1049/iet-map.2017.0924
  10. M. J. Burfeindt et al., Microwave beamforming for non-invasive patient-specific hyperthermia treatment of pediatric brain cancer, Phys. Med. Biol. 56 (2011), 2743-2754. https://doi.org/10.1088/0031-9155/56/9/007
  11. P. T. Nguyen, et al, Three-dimensional microwave hyperthermia for breast cancer treatment in a realistic environment using particle swarm optimization, IEEE Trans. Biomed. Eng. 64 (2016), 1335-1344. https://doi.org/10.1109/TBME.2016.2602233
  12. A. T. Mobashsher, A. M. Abbosh, and Y. Wang, Microwave system to detect traumatic brain injuries using compact unidirectional antenna and wideband transceiver with verification on realistic head phantom, IEEE Trans. Microw. Theory Tech. 62 (2014), 1826-1836. https://doi.org/10.1109/TMTT.2014.2342669
  13. J. Stang et al., A preclinical system prototype for focused microwave thermal therapy of the breast, IEEE Trans. Biomed. Eng. 59 (2012), 2431-2438. https://doi.org/10.1109/TBME.2012.2199492
  14. H. D. Trefna, J. Vrba, and M. Persson, Time-reversal focusing in microwave hyperthermia for deep-seated tumors, Phys. Med. Biol. 55 (2010), 2167-2185. https://doi.org/10.1088/0031-9155/55/8/004
  15. E. Zastrow, S. C. Hagness, and B. D. Van Veen, 3D computational study of non-invasive patient-specific microwave hyperthermia treatment of breast cancer, Phys. Med. Biol. 55 (2010), 3611-3629. https://doi.org/10.1088/0031-9155/55/13/003
  16. Sim4life by ZMT, [Online]. Available: www.zurichmedtech.com.
  17. M. Fink, Time reversal of ultrasonic fields-part I: basic principles, IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 39 (1992), 555-566. https://doi.org/10.1109/58.156174
  18. Z. Wang, J. Li, and R. Wu, Time-delay-and time-reversal-based robust capon beamformers for ultrasound imaging, IEEE Trans. Med. Imag. 24 (2005), 1308-1322. https://doi.org/10.1109/TMI.2005.857222
  19. X. Zhu et al., Microwave-induced thermal acoustic tomography for breast tumor based on compressive sensing, IEEE Trans. Biomed. Eng. 60 (2013), 1298-1307. https://doi.org/10.1109/TBME.2012.2233737
  20. D. A. M. Iero et al., Focusing time-harmonic scalar field in complex scenarios: A comparison, IEEE Antennas Wireless Propag. Lett. 12 (2013), 1029-1032. https://doi.org/10.1109/LAWP.2013.2275202
  21. E. Zastrow et al., Time-multiplexed beamforming for noninvasive microwave hyperthermia treatment, IEEE Trans. Biomed. Eng. 58 (2011), 1574-1584. https://doi.org/10.1109/TBME.2010.2103943
  22. M. E. Yavuz and F. L. Teixeira, Frequency dispersion compensation in time reversal techniques for UWB electromagnetic waves, IEEE Geosci. Remote Sens. Lett. 2 (2005), 233-237. https://doi.org/10.1109/LGRS.2005.846835
  23. ITIS Foundation, Zurich, Switzerland, Available: www.Itis.ethz.ch.

Cited by

  1. Application of MUSIC algorithm in real-world microwave imaging of unknown anomalies from scattering matrix vol.153, 2019, https://doi.org/10.1016/j.ymssp.2020.107501