An Inverse Scattering Approach Based on Inhomogeneous Medium Green's Functions for Microwave Imaging of Brain Strokes

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E. Konakyeri Arıcı
A. Yapar

Abstract

In this study, an inverse scattering approach is investigated for the detection and imaging of an abnormal structure (a bleeding or a stroke) inside the human brain. The method is mainly based on the solution of an integral equation whose kernel is the Green’s function of the inhomogeneous medium (corresponding to a human head model) which is obtained by a numerical approach based on Method of Moments (MoM). In this context, an inverse scattering problem related to the difference of healthy and unhealthy brain models is formulated and a difference function is obtained which indicates the region where the anomaly is located by solving this inverse problem. In order to reduce the reflection effects caused by the electromagnetic differences between the free space and the brain, a matching medium is used as the background space.

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How to Cite
Konakyeri Arıcı, E., & Yapar, A. (2019). An Inverse Scattering Approach Based on Inhomogeneous Medium Green’s Functions for Microwave Imaging of Brain Strokes. Advanced Electromagnetics, 8(2), 53-58. https://doi.org/10.7716/aem.v8i2.990
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Research Articles

References


  1. S.-W. Chen, H.-X. Zhou, K.-L. Zheng, W.-B. Kong, and W. Hong, VIE-ODDM-FFT method using nested uniform cartesian grid for the analysis of electrically large inhomogeneous dielectric objects, IEEE Transactions on Antennas and Propagation, Vol. 66, No. 1, pp. 293-303, January 2018.
    View Article

  2. C. Yu, M. Yuan, Y. Zhang, J. Stang, R. T. George, G. A. Ybarra, W. T. Joines, and Q. H. Liu, Microwave imaging in layered media: 3-D image reconstruction from experimental data, IEEE Transactions on Antennas and Propagation, Vol. 58, No. 2, pp. 440-448, February 2010.
    View Article

  3. N. Joachimowicz, C. Pichot, and J.-P. Hugonin, Inverse scattering: An iterative numerical method for electromagnetic imaging, IEEE Transactions on Antennas and Propagation, Vol. 39, No. 12, pp. 1742-1752, December 1991.
    View Article

  4. G. Kobidze and B. Shanker, Integral Equation Based Analysis of Scattering From 3-D Inhomogeneous Anisotropic Bodies, IEEE Transactions on Antennas and Propagation, Vol. 52, No. 10, pp. 2650-2658, October 2004.
    View Article

  5. E. Konakyeri Arıcı and A. Yapar, Numerical Calculation of 2-D Inhomogeneous Media Green's Function and Some Applications in Electromagnetic Scattering Problems, accepted to appear in IEEE Transactions on Antennas and Propagation.

  6. İ. Dilman, U. Yıldırım, S. Çoşğun, S. Doğu, M. Çayören and İ. Akduman, Feasibility of Brain Stroke Imaging with Microwaves, 2016 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), Langkawi, Malaysia, pp. 334-338, December 2016.
    View Article

  7. U. Yıldırım, İ. Dilman, E. Bilgin, S. Doğu, M. Çayören and İ. Akduman, Continuous Monitoring of Hemorrhagic Brain Strokes via Contrast Source Inversion, 2017 11th European Conference on Antennas and Propagation (EUCAP), Paris, France, pp. 408-411, March 2017.

  8. T. U. Gürbüz, B. Aslanyürek, A. Yapar, H. Şahintürk, and I. Akduman, A nonlinear microwave breast cancer imaging approach through realistic body-breast modeling, IEEE Transactions on Antennas and Propagation, Vol. 62, No. 5, pp. 2596-2605, May 2014.
    View Article

  9. E. C. Fear, X. Li, S. C. Hagness and M. A. Stuchly, Confocal microwave imaging for breast cancer detection: Localization of tumors in three dimensions, IEEE Transactions on Biomedical Engineering, Vol. 49, No. 8, pp. 812–822, August 2002.
    View Article

  10. S. Y. Semenov, A. E. Bulyshev, A. Abubakar, V. G. Posukh, Y. E. Sizov, A. E. Souvorov, P. M. van den Berg, and T. C. Williams, "Microwave-tomographic imaging of the high dielectric-contrast objects using different image-reconstruction approaches", IEEE Transactions on Microwave Theory and Techniques, Vol. 53, No. 7, pp. 2284-2294, July 2005.
    View Article

  11. P. M. Meaney, C. J. Fox, S. D. Geimer and Paulsen K. D., Electrical Characterization of Glycerin: Water Mixtures: Implications for Use as a Coupling Medium in Microwave Tomography, IEEE Transactions on Microwave Theory and Techniques, Vol. 65, No. 5, pp. 1471-1478, May 2017.
    View Article

  12. R. Scapaticci, 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, pp. 305324, 2012.
    View Article

  13. I. G. Zubal, C. R. Harrell, E. O. Smith, Z. Rattner, G. Gindi and P. B. Hoffer, Computerized three-dimensional segmented human anatomy, Medical Physics, Vol. 21, No. 2, pp. 299-302, February 1994.
    View Article

  14. J. H. Richmond, Scattering by a dielectric cylinder of arbitrary cross section shape, IEEE Transactions on Antennas and Propagation, Vol. 13, No. 3, pp. 334-341, 1965.
    View Article