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2016-11-14
Analysis of Microwave Scattering from a Realistic Human Head Model for Brain Stroke Detection Using Electromagnetic Impedance Tomography
By
Progress In Electromagnetics Research M, Vol. 52, 45-56, 2016
Abstract
Brain stroke incidences have arisen at an alarming rate over the past few decades. These strokes are not only life threatening, but also bring with them a very poor prognosis. There is a need to investigate the onset of stroke symptoms in a matter of few hours by the doctor. To address this, Electromagnetic Impedance Tomography (EMIT) employing microwave imaging technique is an emerging, cost-effective and portable brain stroke diagnostic modality. It has the potential for rapid stroke detection, classification and continuous brain monitoring. EMIT can supplement current brain imaging and diagnostic tools (CT, MRI or PET) due to its safe, non-ionizing and non-invasive features. It relies on the significant contrast between dielectric properties of the normal and abnormal brain tissues. In this paper, a comparison of microwave signals scattering from an anatomically realistic human head model in the presence and absence of brain stroke is presented. The head model also incorporates the heterogenic and frequency-dispersive behavior of brain tissues for the simulation setup. To study the interaction between microwave signals and the multilayer structure of head, a forward model has been formulated and evaluated using Finite Element Method (FEM). Specific Absorption Rate (SAR) analysis is also performed to comply with safety limits of the transmitted signals for minimum ionizing effects to brain tissues, while ensuring maximum signal penetration into the head.
Citation
Awais Munawar Qureshi, Zartasha Mustansar, and Adnan Maqsood, "Analysis of Microwave Scattering from a Realistic Human Head Model for Brain Stroke Detection Using Electromagnetic Impedance Tomography," Progress In Electromagnetics Research M, Vol. 52, 45-56, 2016.
doi:10.2528/PIERM16081303
References

1. Stroke (Cerebrovascular Accident), Hemorrhagic, Discharge Information, [Online], , , Available: http://www.summitmedicalgroup.com/library/adult_care/ac-strokehemorrhagic_dc/.
doi:10.1016/S0140-6736(05)66755-4

2. Feigin, V. L., "Stroke epidemiology in the developing world," The Lancet, Vol. 365, 2160-2161, 2005.        Google Scholar

3. The Internet Stroke Center, [Online], , , Available: http://www.strokecenter.org/.

4. Khan, F., I. J. Baguley, and I. D. Cameron, "4: Rehabilitation after traumatic brain injury," Med. J. Aust., Vol. 178, 290-5, Mar. 17, 2003.
doi:10.1109/PROC.1982.12341        Google Scholar

5. Lin, J. C. and M. J. Clarke, "Microwave imaging of cerebral edema," Proceedings of the IEEE, Vol. 70, 523-524, 1982.        Google Scholar

6. Haddad, W., J. Chang, T. Rosenbury, G. Dallum, P. Welsh, D. Scott, et al. "Microwave hematoma detector for the rapid assessment of head injuries," Lawrence Livermore National Laboratory Technical Report UCRL-ID, Vol. 137901, 2000.        Google Scholar

7. Paulson, C. N., J. T. Chang, C. E. Romero, J.Watson, F. J. Pearce, and N. Levin, "Ultra-wideband radar methods and techniques of medical sensing and imaging," Optics East 2005, 60070L-60070L-12, 2005.
doi:10.1155/2008/254830        Google Scholar

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

9. Ireland, D. and M. Bialkowski, "Feasibility study on microwave stroke detection using a realistic phantom and the FDTD method," Asia-Pacific Microwave Conference 2010, 1-4, 2010.
doi:10.1118/1.597290        Google Scholar

10. Zubal, I. G., C. R. Harrell, E. O. Smith, Z. Rattner, G. Gindi, and P. B. Hoffer, "Computerized three-dimensional segmented human anatomy," Medical Physics, Vol. 21, 299-302, 1994.
doi:10.1088/0266-5611/26/11/115010        Google Scholar

11. Zakaria, A., C. Gilmore, and J. LoVetri, "Finite-element contrast source inversion method for microwave imaging," Inverse Problems, Vol. 26, 115010, 2010.
doi:10.2528/PIERM11082907        Google Scholar

12. Ireland, D. and M. E. Bialkowski, "Microwave head imaging for stroke detection," Progress In Electromagnetics Research M, Vol. 21, 163-175, 2011.
doi:10.1002/mop.25941        Google Scholar

13. Bialkowski, M. and Y. Wang, "UWB cylindrical microwave imaging system employing virtual array antenna concept for background effect removal," Microwave and Optical Technology Letters, Vol. 53, 1100-1104, 2011.        Google Scholar

14. Bialkowski, M. E., "Ultra wideband microwave system with novel image reconstruction strategies for breast cancer detection," 2010 European Microwave Conference (EuMC), 537-540, 2010.
doi:10.1109/7260.915627        Google Scholar

15. Li, X. and S. C. Hagness, "A confocal microwave imaging algorithm for breast cancer detection," IEEE Microwave and Wireless Components Letters, Vol. 11, 130-132, 2001.
doi:10.1109/MWSYM.2010.5515064        Google Scholar

16. Bialkowski, M. E., Y. Wang, A. Abu Bakar, and W. C. Khor, "Novel image reconstruction algorithm for a UWB cylindrical microwave imaging system," 2010 IEEE MTT-S International Microwave Symposium Digest (MTT), 477-480, 2010.
doi:10.2528/PIERB12022006        Google Scholar

17. Scapaticci, R., L. Di Donato, I. Catapano, and L. Crocco, "A feasibility study on microwave imaging for brain stroke monitoring," Progress In Electromagnetics Research B, Vol. 40, 305-324, 2012.        Google Scholar

18. Jalilvand, M., X. Li, and T. Zwick, "A model approach to the analytical analysis of stroke detection using UWB radar," 2013 7th European Conference on Antennas and Propagation (EuCAP), 1555-1559, 2013.        Google Scholar

19. Fhager, A., Y. Yu, T. McKelvey, and M. Persson, "Stroke diagnostics with a microwave helmet," 2013 7th European Conference on Antennas and Propagation (EuCAP), 845-846, 2013.
doi:10.1109/TIM.2013.2277562        Google Scholar

20. Mohammed, B. J., A. M. Abbosh, S. Mustafa, and D. Ireland, "Microwave system for head imaging," IEEE Transactions on Instrumentation and Measurement, Vol. 63, 117-123, 2014.        Google Scholar

21. Abbosh, A., "Microwave systems for head imaging: Challenges and recent developments," 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), 2013.
doi:10.1109/LAWP.2013.2255095        Google Scholar

22. Mustafa, S., B. Mohammed, and A. Abbosh, "Novel preprocessing techniques for accurate microwave imaging of human brain," IEEE Antennas and Wireless Propagation Letters, Vol. 12, 460-463, 2013.        Google Scholar

23. Mohammed, B., A. Abbosh, and D. Ireland, "Stroke detection based on variations in reflection coefficients of wideband antennas," 2012 IEEE Antennas and Propagation Society International Symposium (APSURSI), 1-2, 2012.
doi:10.1109/ICEAA.2013.6632455        Google Scholar

24. Mobashsher, A. T., B. Mohammed, A. Abbosh, and S. Mustafa, "Detection and differentiation of brain strokes by comparing the reflection phases with wideband unidirectional antennas," 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA), 1283-1285, 2013.
doi:10.1109/EMBC.2013.6610023        Google Scholar

25. Priyadarshini, N. and E. Rajkumar, "Finite element modeling of scattered electromagnetic waves for stroke analysis," 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2404-2407, 2013.
doi:10.1109/TMTT.2014.2342669        Google Scholar

26. Mobashsher, A. T., 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 Transactions on Microwave Theory and Techniques, Vol. 62, 1826-1836, 2014.
doi:10.1109/AUSMS.2014.7017347        Google Scholar

27. Mobashsher, A. T. and A. Abbosh, "Microwave imaging system to provide portable-low-powered medical facility for the detection of intracranial hemorrhage," 2014 1st Australian Microwave Symposium (AMS), 23-24, 2014.
doi:10.1371/journal.pone.0152351        Google Scholar

28. Mobashsher, A., K. Bialkowski, A. Abbosh, and S. Crozier, "Design and experimental evaluation of a non-invasive microwave head imaging system for intracranial haemorrhage detection," PloS One, Vol. 11, e0152351, 2016.        Google Scholar

29. Zubal Phantom Data, [Online], , , Available: http://noodle.med.yale.edu/phantom/getdata.htm.
doi:10.1063/1.1750906

30. Cole, K. S. and R. H. Cole, "Dispersion and absorption in dielectrics I. Alternating current characteristics," The Journal of Chemical Physics, Vol. 9, 341-351, 1941.
doi:10.1088/0031-9155/41/11/001        Google Scholar

31. Gabriel, C., S. Gabriel, and E. Corthout, "The dielectric properties of biological tissues: I. Literature survey," Physics in Medicine and Biology, Vol. 41, 2231, 1996.
doi:10.1088/0031-9155/41/11/002        Google Scholar

32. Gabriel, S., R. W. Lau, and C. Gabriel, "The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz," Physics in Medicine and Biology, Vol. 41, 2251, 1996.
doi:10.1088/0031-9155/41/11/003        Google Scholar

33. Gabriel, S., R. Lau, and C. Gabriel, "The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues," Physics in Medicine and Biology, Vol. 41, 2271, 1996.
doi:10.1088/0031-9155/41/11/003        Google Scholar

34. Gabriel, C., "Compilation of the dielectric properties of body tissues at RF and microwave frequencies,", DTIC Document, 1996.
doi:10.1088/0031-9155/54/16/002        Google Scholar

35. Gabriel, C., A. Peyman, and E. H. Grant, "Electrical conductivity of tissue at frequencies below 1 MHz," Physics in Medicine and Biology, Vol. 54, 4863-78, Aug. 21, 2009.        Google Scholar

36. Andreuccetti, D., R. Fossi, and C. Petrucci, "Dielectric properties of body tissues," Applied Physics - Italian National Research Council, Florence, Italy, 2002, Online: http://niremf.ifac.cnr.it/tissprop/htmlclie/htmlclie.php.
doi:10.1109/TAP.2013.2242037        Google Scholar

37. Ireland, D. and A. Abbosh, "Modeling human head at microwave frequencies using optimized Debye models and FDTD method," IEEE Transactions on Antennas and Propagation, Vol. 61, 2352-2355, 2013.
doi:10.1109/TAP.2013.2296323        Google Scholar

38. Mustafa, S., A. M. Abbosh, and P. T. Nguyen, "Modeling human head tissues using fourth-order Debye model in convolution-based three-dimensional finite-difference time-domain," IEEE Transactions on Antennas and Propagation, Vol. 62, 1354-1361, 2014.
doi:10.1002/9780470602492        Google Scholar

39. Pastorino, M., Microwave Imaging, Vol. 208, John Wiley & Sons, 2010.
doi:10.1109/TAP.2010.2048860

40. Klemm, M., J. A. Leendertz, D. Gibbins, I. J. Craddock, A. Preece, and R. Benjamin, "Microwave radar-based differential breast cancer imaging: Imaging in homogeneous breast phantoms and low contrast scenarios," IEEE Transactions on Antennas and Propagation, Vol. 58, 2337-2344, 2010.
doi:10.1109/8.121595        Google Scholar

41. Joachimowicz, N., C. Pichot, and J.-P. Hugonin, "Inverse scattering: An iterative numerical method for electromagnetic imaging," IEEE Transactions on Antennas and Propagation, Vol. 39, 1742-1753, 1991.
doi:10.1109/MAES.2005.1576101        Google Scholar

42. Davidson, D. B., "Computational Electromagnetics for RF & microwave engineering," IEEE Aerospace and Electronic Systems Magazine, Vol. 20, 27, 2005.
doi:10.1088/0031-9155/52/18/015        Google Scholar

43. Semenov, S., J. Kellam, P. Althausen, T. Williams, A. Abubakar, A. Bulyshev, et al. "Microwave tomography for functional imaging of extremity soft tissues: Feasibility assessment," Physics in Medicine and Biology, Vol. 52, 5705, 2007.
doi:10.1049/iet-map.2013.0054        Google Scholar

44. Ireland, D., K. Bialkowski, and A. Abbosh, "Microwave imaging for brain stroke detection using born iterative method," IET Microwaves, Antennas & Propagation, Vol. 7, 909-915, 2013.
doi:10.2528/PIER13080706        Google Scholar

45. Zakaria, A., I. Jeffrey, and J. LoVetri, "Full-vectorial parallel finite-element contrast source inversion method," Progress In Electromagnetics Research, Vol. 142, 463-483, 2013.        Google Scholar

46. Morega, M. and A. M. Morega, "Computed SAR in human head for the assessment of exposure from different phone device antennas," Environment Engineering and Management Journal, Vol. 10, 527-533, 2011.
doi:10.1016/j.ijheatmasstransfer.2011.09.027        Google Scholar

47. Wessapan, T., S. Srisawatdhisukul, and P. Rattanadecho, "Specific absorption rate and temperature distributions in human head subjected to mobile phone radiation at different frequencies," International Journal of Heat and Mass Transfer, Vol. 55, 347-359, 2012.
doi:10.1002/dac.2322        Google Scholar

48. Yasin Citkaya, A. and S. Selim Seker, "FEM modeling of SAR distribution and temperature increase in human brain from RF exposure," International Journal of Communication Systems, Vol. 25, 1450-1464, 2012.        Google Scholar

49. Abdulrazzaq, S. A. and A. P. D. J. S. Aziz, "SAR simulation in human head exposed to RF signals and safety precautions," Int. J. Comput. Sci. Eng. Technol., Vol. 3, 334-340, 2013.        Google Scholar

50. Sallomi, A., "A theoretical approach for SAR calculation in human head exposed to RF signals," Journal of Engineering and Development, Vol. 16, 2012.        Google Scholar

51. "IEEE standard for safety levels with respect to human exposure to radio frequency electromagnetic fields, 3 kHz to 300 GHz," IEEE Std C95.1-2005 (Revision of IEEE Std C95.1-1991), 1-238, 2006.        Google Scholar

52. "Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz)," Health Phys., Vol. 74, 494-522, 1998.        Google Scholar