In this study, the scattering map of the breast is reconstructed by applying the matching-pursuit algorithm (MPA) to the simulation data obtained by the monostatic inverse synthetic aperture radar (ISAR) principle, and the locations of the tumors are determined by considering the peaks on the scattering map. The MPA iteratively searches the true solution by assuming every discrete point in the solution space to be a scattering center by dividing the imaging region onto a discrete grid. In order to obtain images with better resolution, the fine granularity of the grid for accurate solutions is provided at the expense of increased processing times. First, our approach based on MPA is tested on simulated data generated by MATLAB for breast tumor detection and imaging. Perfect reconstruction for the locations of the hypothetical breast tumor points is attained. Then, a full-wave electromagnetic simulation software named CST Microwave Studio (CST MWS) is used to generate backscattered electric field data from a constructed scenario in which a tumor is located in a breast model. Next, we use the collected data from the defined scenarios as an input to our algorithm. Resultant images provide successful detection and imaging of the tumor region within the breast model. The accuracy of the MATLAB and the CST MWS simulation results demonstrate the availability of our MPA-based focusing algorithm to be used effectively in medical imaging.
2. Nass, S. J., I. C. Henderson, and J. C. Lashof, Mammography and Beyond: Developing Technologies for the Early Detection of Breast Cancer, Vol. 4, No. 3, National Academy Press, Washington, DC, 2002.
3. Kuhl, C. K., et al., "Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer," J. Clin. Oncol., Vol. 23, No. 33, 8469-8476, Nov. 2005.
4. Heywang-Köbrunner, S. H., A. Hacker, and S. Sedlacek, "Advantages and disadvantages of mammography screening," Breast Care, Vol. 6, No. 3, 199-207, Jun. 2011.
5. Orel, S. G. and M. D. Schnall, "MR imaging of the breast for the detection, diagnosis, and staging of breast cancer," Radiology, Vol. 220, No. 1, 13-30, Jul. 2001.
6. Lazebnik, M., D. Popovic, L. McCartney, C. B. Watkins, M. J. Lindstrom, J. Harter, S. Sewall, T. Ogilvie, A. Magliocco, T. M. Breslin, W. Temple, D. Mew, J. H. Booske, M. Okoniewski, and S. C. Hagness, "A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries," Phys. Med. Biol., Vol. 52, No. 20, 6093, 2007.
7. Surowiec, A. J., S. S. Stuchly, J. R. Barr, and A. Swarup, "Dielectric properties of breast carcinoma and the surrounding tissues," IEEE Transactions on Biomedical Engineering, Vol. 35, No. 4, 257-263, 1988.
8. Lim, H. B., N. T. T. Nhung, E.-P. Li, and N. D. Thang, "Confocal microwave imaging for breast cancer detection: Delay-Multiply-and-Sum image reconstruction algorithm," IEEE Transactions on Biomedical Engineering, Vol. 55, No. 6, 1697-1704, 2008.
9. Ortega-Palacios, R., L. Leija, A. Vera, and M. F. J. Cepeda, "Measurement of breast-tumor phantom dielectric properties for microwave breast cancer treatment evaluation," Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, 216-219, 2010.
10. Li, X., E. J. Bond, B. D. Van Veen, and S. C. Hagness, "An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection," IEEE Antennas Propag. Mag., Vol. 47, No. 1, 19-34, 2005.
11. Xie, Y., B. Guo, L. Xu, J. Li, and P. Stoica, "Multistatic adaptive microwave imaging for early breast cancer detection," IEEE Trans. Biomed. Eng., Vol. 53, No. 8, 1647-1657, 2006.
12. Fear, E. C., P. M. Meaney, and M. Stuchly, "Microwaves for breast cancer detection," IEEE Potentials, Vol. 22, No. 1, 12, 2003.
13. 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 Trans. Biomed. Eng., Vol. 49, No. 8, 812-822, 2002.
14. Winters, D. W., J. D. Shea, P. Kosmas, B. D. Van Veen, and S. C. Hagness, "Three-dimensional microwave breast imaging: Dispersive dielectric properties estimation using patient-specific basis functions," IEEE Transactions on Medical Imaging, Vol. 28, No. 7, 969-981, 2009.
15. Irishina, N., M. Moscoso, and O. Dorn, "Microwave imaging for early breast cancer detection using a shape-based strategy," IEEE Trans. Biomed. Eng., Vol. 56, No. 4, 1143-1153, 2009.
16. Meaney, P. M., M. W. Fanning, T. Zhou, A. Golnabi, S. D. Geimer, and K. D. Paulsen, "Clinical microwave breast imaging - 2D results and the evolution to 3D," Proceedings of the 2009 International Conference on Electromagnetics in Advanced Applications, ICEAA'09, 881-884, 2009.
17. Kurrant, D. J., E. C. Fear, and D. T. Westwick, "Tumor response estimation in radar-based microwave breast cancer detection," IEEE Transactions on Biomedical Engineering, Vol. 55, No. 12, 2801-2811, 2008.
18. Davis, S. K., B. D. Van Veen, S. C. Hagness, and F. Kelcz, "Breast tumor characterization based on ultrawideband microwave backscatter," IEEE Trans. Biomed. Eng., Vol. 55, No. 1, 237-246, 2008.
19. Yun, X., E. C. Fear, and R. H. Johnston, "Compact antenna for radar-based breast cancer detection," IEEE Trans. Antennas Propag., Vol. 53, No. 8, 2374-2380, 2005.
20. Klemm, M., I. Craddock, J. Leendertz, A. Preece, and R. Benjamin, "Experimental and clinical results of breast cancer detection using UWB microwave radar," 2008 IEEE Antennas and Propagation Society International Symposium, No. 1, 1-4, 2008.
21. Flores-Tapia, D., O. Maizlish, C. Alabaster, and S. Pistorius, "Microwave radar imaging of inhomogeneous breast phantoms using circular holography," 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 86-89, 2012.
22. Smith, D., B. Livingstone, M. Elsdon, H. Zheng, V. Schejbal, and O. Yurduseven, "The development of indirect microwave holography for measurement and imaging applications," 2015 IEEE 15th Mediterranean Microwave Symposium (MMS), 1-4, 2015.
23. Cheng, G., Y. Zhu, and J. Grzesik, "3-D microwave imaging for breast cancer," 2012 6th European Conference on Antennas and Propagation (EUCAP), 3672-3676, 2011.
24. Pastorino, M., "Hybrid reconstruction techniques for microwave imaging systems," 2010 IEEE International Conference on Imaging Systems and Techniques, 198-203, 2010.
25. Ünal, I., B. Türetken, and Y. Çotur, "Microwave imaging of breast cancer tumor inside voxel-based breast phantom using conformal antennas," 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014, 1-4, 2014.
26. Mallat, S. G. and Z. Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Transactions on Signal Processing, Vol. 41, No. 12, 3397-3415, 1993.
27. Franaszczuk, P. J., G. K. Bergey, P. J. Durka, and H. M. Eisenberg, "Time-frequency analysis using the matching pursuit algorithm applied to seizures originating from the mesial temporal lobe," Electroencephalogr. Clin. Neurophysiol., Vol. 106, No. 6, 513-521, Jun. 1998.
28. Tropp, J. A. and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Transactions on Information Theory, Vol. 53, No. 12, 4655-4666, 2007.
29. La, C. and M. N. Do, "Tree-based orthogonal matching pursuit algorithm for signal reconstruction," 2006 International Conference on Image Processing, 1277-1280, 2006.
30. Do, T. T., L. Gan, N. Nguyen, and T. D. Tran, "Sparsity adaptive matching pursuit algorithm for practical compressed sensing," 2008 42nd Asilomar Conference on Signals, Systems and Computers, 581-587, 2008.
31. Pati, Y. C., R. Rezaiifar, and P. S. Krishnaprasad, "Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition," Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, Vol. 1, 40-44, 1993.
32. Buhlmann, P., "Boosting for high-dimensional linear models," Ann. Stat., Vol. 34, No. 2, 559-583, 2006.
33. Yoshida, H., R. M. Nishikawa, M. L. Giger, and K. Doi, "Signal/background separation by wavelet packets for detection of microcalcifications in mammograms," Proc SPIE, Vol. 2825, 2825-2827, 1996.
34. Moll, J., J. B. Harley, and V. Krozer, "Data-driven matched field processing for radar-based microwave breast cancer detection," 2015 9th European Conference on Antennas and Propagation (EuCAP), 1-4, 2015.
35. Ozdemir, C., Inverse Synthetic Aperture Radar Imaging, Wiley & Sons, Inc., Hoboken, NJ, 2012.
36. Su, T., C. Ozdemir, and H. Ling, "On extracting the radiation center representation of antenna radiation patterns on a complex platform," Microw. Opt. Technol. Lett., Vol. 26, No. 1, 4-7, 2000.
37. CST Microwave Studio, Computer Simulation Technology GmbH, .