volume | PIER Journals

Abstract

This paper presents a method for rapid microwave imaging of traumatic brain injury based on scattering parameters. The algorithm uses the integer order Bessel function and Born approximation, which converts nonlinear inverse scattering problem into linear problem. After truncated singular value decomposition, imaging can be performed without iteration. Simulations and experiments show that the algorithm can not only reduce the amount of calculation for fast imaging, but also accurately image a brain hematoma or foreign body.

1. Hackenberg, K. and A. Unterberg, "Traumatic brain injury," Der Nervenarzt, Vol. 87, No. 2, 203-14, 2016.
doi:10.1007/s00115-015-0051-3 Google Scholar

2. Wintermark, M., P. C. Sanelli, and Y. Anzai, "Imaging evidence and recommendations for traumatic brain injury: Conventional neuroimaging techniques," Journal of the American College of Radiology, Vol. 12, No. 2, 1-14, 2015.
doi:10.1016/j.jacr.2014.10.014 Google Scholar

3. Heit, J. J., M. Iv, and M. Wintermark, "Imaging of intracranial hemorrhage," Journal of Stroke, Vol. 19, No. 1, 11, 2017.
doi:10.5853/jos.2016.00563 Google Scholar

4. Mohammed, B. J., A. M. Abbosh, and D. Ireland, "Circular antenna array for brain imaging systems," Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 1-2, 2012. Google Scholar

5. Ireland, D. and M. E. Bialkowski, "Microwave head imaging for stroke detection," Progress In Electromagnetics Research M, Vol. 21, 163-175, 2011.
doi:10.2528/PIERM11082907 Google Scholar

6. Zamani, A., A. T. Mobashsher, B. J. Mohammed, and A. M. Abbosh, "Microwave imaging using frequency domain method for brain stroke detection," IEEE MTT-S International Microwave Workshop Series (IMWS-Bio), 1-3, 2014. Google Scholar

7. Mohammed, B. J., A. M. Abbosh, and S. Mustafa, "Microwave system for head imaging," IEEE Transactions on Instrumentation and Measurement, Vol. 63, No. 1, 117-123, 2014.
doi:10.1109/TIM.2013.2277562 Google Scholar

8. Zamani, A., "Fast frequency-based multistatic microwave imaging algorithm with application to brain injury detection," IEEE Transactions on Microwave Theory and Techniques, Vol. 64, No. 2, 653-662, 2016. Google Scholar

9. Mobashsher, A. T. and A. Abbosh, "Design of compact cross-fed three-dimensional slotloaded antenna and its application in wideband head imaging system," IEEE Antennas and Wireless Propagation Letters, Vol. 15, 1856-1860, 2016.
doi:10.1109/LAWP.2016.2539970 Google Scholar

10. Mohammed, B. J., K. Bialkowski, and S. Mustafa, "Investigation of noise effect on image quality in microwave head imaging systems," IET Microwaves, Antennas and Propagation, Vol. 9, No. 3, 200-205, 2015.
doi:10.1049/iet-map.2014.0109 Google Scholar

11. Zamani, A. and A. M. Abbosh, "Fast multi-static technique for microwave brain imaging," 2015 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, 536-537, 2015.
doi:10.1109/APS.2015.7304654 Google Scholar

12. Fedeli, A., V. Schenone, A. Randazzo, M. Pastorino, T. Henriksson, and S. Semenov, "Nonlinear S-parameters inversion for stroke imaging," IEEE Transactions on Microwave Theory and Techniques, Vol. 68, 1760-1771, 2020.
doi:10.1109/TMTT.2020.3040483 Google Scholar

13. Semenov, S. Y. and D. R. Corfield, "Microwave tomography for brain imaging: Feasibility assessment for stroke detection," International Journal of Antennas and Propagation, 1-8, 2008.
doi:10.1155/2008/254830 Google Scholar

14. Dilman, I., U. Yıldırm, S. Coşğun, S. Doğu, M. Çayören, and I. Akduman, "Feasibility of brain stroke imaging with microwaves," 2016 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), 334-338, 2016.
doi:10.1109/APACE.2016.7916454 Google Scholar

15. Tobon Vasquez, J. A., R. Scapaticci, G. Turvani, G. Bellizzi, D. O. Rodriguez-Duarte, N. Joachimowicz, B. Duchêne, E. Tedeschi, M. R. Casu, L. Crocco, and F. Vipiana, "A prototype microwave system for 3D brain stroke imaging," Sensors, Vol. 20, 2607, 2020.
doi:10.3390/s20092607 Google Scholar

16. Nikolova, N. K., "Microwave imaging for breast cancer," Microwave Magazine IEEE, Vol. 12, No. 7, 78-94, 2011.
doi:10.1109/MMM.2011.942702 Google Scholar

17. Persson, M., A. Fhager, and H. D. Trefná, "Microwave-based stroke diagnosis making global prehospital thrombolytic treatment possible," IEEE Transactions on Biomedical Engineering, Vol. 61, No. 11, 2806-2817, 2014.
doi:10.1109/TBME.2014.2330554 Google Scholar

18. Park, W. K., "Real-time microwave imaging of unknown anomalies via scattering matrix," Mechanical Systems and Signal Processing, Vol. 118, 658-674, 2019.
doi:10.1016/j.ymssp.2018.09.012 Google Scholar

19. Haynes, M., J. Stang, and M. Moghaddam, "Microwave breast imaging system prototype with integrated numerical characterization," International Journal of Biomedical Imaging, Vol. 2012, 1-18, 2012.
doi:10.1155/2012/706365 Google Scholar

20. Haynes, M. and M. Moghaddam, "Vector Green's function for S-parameter measurements of the electromagnetic volume integral equation," IEEE Trans. Antennas Propagation, Vol. 60, No. 3, 1400-1413, 2012.
doi:10.1109/TAP.2011.2180324 Google Scholar

21. Haynes, M., J. Stang, and M. Moghaddam, "Real-time microwave imaging of differential temperature for thermal therapy monitoring," IEEE Transactions on Biomedical Engineering, Vol. 61, No. 6, 1787-1797, 2014.
doi:10.1109/TBME.2014.2307072 Google Scholar

Dr. Bin Li

Dr. Heng Liu

Dr. Zekun Zhang

Dr. Xiang Gao