2007-12-11
Breast Cancer Detection Using a Hybrid Finite Difference Frequency Domain and Particle Swarm Optimization Techniques
By
Progress In Electromagnetics Research B, Vol. 3, 35-46, 2008
Abstract
A hybrid technique based on Finite-difference frequency domain and particle swarm optimization techniques is proposed to reconstruct the breast cancer cell dimension and determines its position. Finite-difference frequency domain is formulated to calculate the scattered field after illuminating the breast by a microwave transmitter. Two-dimensional and three-dimensional models for the breast are used. The models include randomly distributed fatty breast tissue, glandular tissue, 2-mm thick skin, as well as chest wall tissue. The models are characterized by the dielectric properties of the normal breast tissue and malignant tissue at 800 MHz. Computer simulations have been performed by means of a numerical program; results show the capabilities of the proposed approach.
Citation
Saber Zainud-Deen, Walaa Hassan, Emadeldeen Hassan, and Kamal Awadalla, "Breast Cancer Detection Using a Hybrid Finite Difference Frequency Domain and Particle Swarm Optimization Techniques," Progress In Electromagnetics Research B, Vol. 3, 35-46, 2008.
doi:10.2528/PIERB07112703
References

1. Gunnarsson, T., Microwave imaging of biological tissues: Applied toward breast tumor detection, No. 73, Sweden, April 2007.

2. Fear, E. C., S. C. Hagness, P. M. Meaney, M. Okoiewski, and M. A. Stuchly, "Enhancing breast tumor detection with near-field imaging," IEEE Microw. Magazine, Vol. 3, No. 1, 48-56, Mar. 2002.
doi:10.1109/6668.990683        Google Scholar

3. Liu, Q. H., Z. Q. Zhang, T. T. Wang, J. A. Brgan, G. A. Ybarra, L. W. Nolte, and W. T. Joines, "Active microwave imaging I — 2-D forward and inverse scattering methods," IEEE Trans. Microwave Theory Tech., Vol. 50, No. 1, 123-133, Jan. 2002.
doi:10.1109/22.981256        Google Scholar

4. Qi, H. R. and N. A. Diakides, "Thermal infrared imaging in early breast cancer detection—A survey of recent research," Proceeding of 25th Annual International Conference of IEEE, Vol. 2, No. 17–21, 1109-1112, Sept. 2003.

5. Bindu, G., A. Lonappan, V. Thomas, C. K. Aanandan, and K. T. Matew, "Active microwave imaging for breast cancer detection," Progress In Electromagnetics Research, Vol. 58, 169-419, 2006.        Google Scholar

6. Yan, L., K. Huang, and C. Liu, "A noninvasive method for determining dielectric properties of layered tissues on human back," Journal of Eletromagnetic Waves and Applications, Vol. 21, No. 13, 1829-1843, 2007.        Google Scholar

7. Wu, B.-I., F. C. Cox, and J. A. Kong, "Experimental methodology for non-thermal effects of electromagnetic radiation on biologics," Journal of Eletromagnetic Waves and Applications, Vol. 21, No. 13, 1829-1843, 2007.        Google Scholar

8. Semenov, S. Y., et al. "Microwave tomography: Two-dimensional systemfor biological imaging," IEEE Transactions on Biomedical Engineering, Vol. 43, 869-877, 1996.
doi:10.1109/10.532121        Google Scholar

9. Hagness, S. C., A. Taflove, and J. E. Brdiges, "Two-dimensional FDTD analysis of a pulsed microwave confocal systemfor breast cancer detection: Fixed focus and antenna array sensors," IEEE Transactions of Biomedical Engineering, Vol. 45, 1470-1479, 1998.
doi:10.1109/10.730440        Google Scholar

10. Guo, B., Y. Wang, J. Li, P. Stoica, and R. Wu, "Microwave imaging via adaptive beamforming methods for breast cancer detection," Journal of Eletromagnetic Waves and Applications, Vol. 20, No. 1, 53-63, 2006.
doi:10.1163/156939306775777350        Google Scholar

11. Hagness, S. C., A. Taflove, and J. E. Brdiges, "Three-dimensional FDTD analysis of a pulsed microwave confocal systemfor breast cancer detection: Design of an antenna array element," IEEE Transactions of Antennas and Propagation, Vol. 47, 783-791, 1999.
doi:10.1109/8.774131        Google Scholar

12. Fear, E. C., 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, 812-821, 2002.
doi:10.1109/TBME.2002.800759        Google Scholar

13. Fear, E. C., J. Sill, and M. A. Stuchly, "Experimental feasibility of breast tumor detection and localization," IEEE MTT-S Digest, 383-386, 2003.        Google Scholar

14. Fear, E. C., J. Sill, and M. A. Stuchly, "Experimental feasibility study of confocal microwave imaging for breast tumor detection," IEEE Transactions on Microwave Theory and Techniques, Vol. 51, 887-892, 2003.
doi:10.1109/TMTT.2003.808630        Google Scholar

15. Souvorov, A. E., A. E. Bulyshev, S. Y. Semenov, R. H. Svenson, A. G. Nazarov, Y. E. Sizov, and G. P. Tatsis, "Microwave tomography: A two-dimensional newton iterative scheme," IEEE Trans. Microw. Theory Tech., Vol. 46, 1654-1659, 1998.
doi:10.1109/22.734548        Google Scholar

16. Chew, W. C. and Y. M. Wang, "Reconstruction of two-dimensional permittivity distribution using the distorted born iterative method," IEEE Trans. Med. Imag., Vol. 9, 218-225, Jun. 1990.
doi:10.1109/42.56334        Google Scholar

17. Caorsi, S., A. Massa, M. Pastorino, and A. Rosani, "Microwave medical imaging: Potentialities and limitations of a stochastic optimization technique," IEEE Trans. Microw. Theory Tech., Vol. 52, 1909-1916, 2004.
doi:10.1109/TMTT.2004.832016        Google Scholar

18. Xiao, F. and H. Yabe, "Microwave imaging of perfect conducting cylinders fromreal data by micro genetic algorithmcoupled with deterministic method," IEICE Trans. Electron., Vol. E81-C, 1784-1792, 1998.        Google Scholar

19. Liu, X.-F., Y.-B. Chen, Y.-C. Jiao, and F.-S. Zhang, "Modified particle swarmoptim ization for patch antenna a design based on IE3D," Journal of Eletromagnetic Waves and Applications, Vol. 21, No. 13, 1819-1828, 2007.        Google Scholar

20. Al-Sharkawy, M. H., V. Demir, and A. Z. Elsherbeni, "Plane wave scattering fromthree dimensional multiple objects using the iterative multiregion technique based on the FDFD method," IEEE Trans. Antennas Propagat., Vol. 54, No. 2, 666-673, Feb. 2006.
doi:10.1109/TAP.2005.863129        Google Scholar

21. Zainud-Deen, S. H., M. S. Ibrahim, and E. El-Deen, "A hybrid finite difference frequency domain and particle swarm optimization techniques for forward and inverse electromagnetic scattering problems," The 23rd Annual Review of Progress in Applied Computational Electromagnetics, 1575-1580, March 19–23 2007.        Google Scholar

22. Zainud-Deen, S. H., E. El-Deen, and M. S. Ibrahem, "Electromagnetic scattering by conducting/dielectric objects," The 23rd Annual Review of Progress in Applied Computational Electromagnetics, 1866-1871, March 19–23 2007.        Google Scholar

23. Berenger, J.-P., "A perfectly matched layer for the absorption of electromagnetics waves," J. Comput. Phys., Vol. 144, 185-200, Oct. 1994.
doi:10.1006/jcph.1994.1159        Google Scholar

24. Robinson, J. and Y. Rahmat-Samii, "Particle swarm optimization in electromagnetics," IEEE Trans. Antennas Propag., Vol. 52, 397-407, 2004.
doi:10.1109/TAP.2004.823969        Google Scholar

25. Macea, J. R. and J. H. T. G. Fregnani, "Anatomy of thorocic wall, axillo and breast," Int. J. Morphol., 691-704, Oct. 2006.        Google Scholar

26. Breast evaluation and treatment prevention early detection of breast cancer, University of Maryland Marlene and Stewart GreenebaumCancer Center, 2005.

27. Zhang, Z. Q. and Q. H. Liu, "Microwave imaging for breast tumor: 2D forward and inverse methods," IEEE Antennas Propag. Society International Symposium, Vol. 1, 242-245, July 2001.

28. Xie, Y., B. Guo, L. Xu, J. Li, and P. Stocia, "Multistatic adaptive microwave imaging for early breast cancer detection," IEEE Trans. Biomed. Eng., Vol. 53, No. 8, 1647-1657, Aug. 2006.
doi:10.1109/TBME.2006.878058        Google Scholar

29. Hagness, S. C., A. Taflove, and J. E. bridges, "FDTD modeling of a coherent- addition antenna array for early-stage detection of breast cancer," IEEE Antennas Propag. Society International Symposium, Vol. 2, 1220-1223, June 1998.        Google Scholar