volume | PIER Journals

Abstract

Breast Microwave Radar (BMR) has been proposed as an alternative modality for breast imaging. This technology forms a reflectivity map of the breast region by illuminating the scan area using ultra wide band microwave waveforms and recording the reflections from the breast structures. Nevertheless, BMR images require to be interpreted by an experienced practitioner since the location and density of the breast region can make the detection of malignant lesions a difficult task. In this paper, a novel bimodal breast imaging reconstruction method based on the use of BMR and Electrical Impedance Tomography (EIT) is proposed. This technique forms an estimate of the breast region impedance map using its corresponding BMR image. This estimate is used to initialize an EIT reconstruction method based on the monotonicity principle. The proposed method yielded promising results when applied to MRI-derived numeric breast phantoms.

1. Cancer Facts & Figures, American Cancer Society, Atlanta, 2009.

2. Flöry, D., M. W. Fuchsjaeger, C. F. Weisman, and T. H. Helbich, "Advances in breast imaging: A dilemma or progress," Minimally Invasive Breast Biopsies, Vol. 173, 159-181, 2009.
doi:10.1007/978-3-540-31611-4_10

3. Poplack, S. P., K. D. Paulsen, A. Hartov, P. M. Meaney, B. Pogue, T. Tosteson, M. Grove, S. Soho, and W. Wells, "Electromagnetic breast imaging: Pilot results in women with abnormal mammograms abnormal mammograms ," Radiology, Vol. 243, 350-359, 2007.
doi:10.1148/radiol.2432060286

4. Kerner, T. E., K. D. Paulsen, A. Hartov, S. K. Soho, and S. P. Poplack, "Electrical impedance spectroscopy of the breast: Clinical imaging results in 26 subjects," IEEE Transactions on Medical Imaging, Vol. 21, 638-645, June 2002.
doi:10.1109/TMI.2002.800606

5. Meaney, P. M., M. W. Fannin, T. Raynolds, C. J. Fox, Q. Fang, C. A. Kogel, S. P. Poplack, and K. D. Paulsen, "Initial clinical experience with microwave breast imaging in women with normal mammography ," Academic Radiology, Vol. 14, 207-218, 2007.
doi:10.1016/j.acra.2006.10.016

6. Klemm, M., J. A. Leendertz, D. Gibbins, I. J. Craddock, A. Preece, and R. Benjamin, "Microwave radar-based breast cancer detection: Imaging in inhomogeneous breast phantoms," IEEE Antennas and Wireless Propagation Letters, available online, December 2009.

7. Jossinet, J., "Variability of impedivity in normal and pathological breast tissue," Medical and Biological Engineering and Computing, Vol. 34, 346-350, September 1996.
doi:10.1007/BF02520002

8. Lazebnik, M., L. McCartney, D. Popovic, C. B. Watkins, M. J. Lindstrom, J. Harter, S. Sewall, A. Magliocco, J. H. Booske, M. Okoniewski, and S. C. Hagness, "A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries," Physics in Medicine and Biology, Vol. 52, 2637-2656, April 2007.
doi:10.1088/0031-9155/52/10/001

9. Halter, R. J., T. Zhou, P. M. Meaney, A. Hartov, R. Barth, K. Rosenkranz, W. Wells, C. Kogel, A. Borsic, E. Rizzo, and K. D. Paulsen, "The correlation of in vivo and ex vivo tissue dielectric properties to validate electromagnetic breast imaging: Initial clinical experience," Physiological Measurement, Vol. 30, 121-136, 2009.
doi:10.1088/0967-3334/30/6/S08

10. Surowiec, S. 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, 257-263, April 1988.
doi:10.1109/10.1374

11. Fear, E. C. and M. A. Stuchly, "Microwave detection of breast cancer," IEEE Transactions on Microwave Theory and Techniques, Vol. 48, 1854-1863, November 2000.

12. Klemm, M., I. J. Craddock, J. A. Leendertz, A. Preece, and R. Benjamin, "Radar-based breast cancer detection using a hemispherical antenna array --- Experimental results," IEEE Transactions on Antennas and Propagation, Vol. 57, 1692-1704, June 2009.
doi:10.1109/TAP.2009.2019856

13. Flores-Tapia, D., G. Thomas, and S. Pistorius, "A wavefront reconstruction method for 3D cylindrical subsurface radar imaging ," IEEE Transactions on Image Processing, Vol. 17, 1908-1925, October 2008.
doi:10.1109/TIP.2008.2002307

14. Klemm, M., I. J. Craddock, J. A. Leendertz, A. Preece, D. R. Gibbins, M. Shere, and R. Benjamin, "Clinical trials of a UWB imaging radar for breast cancer," 2010 Proceedings of the Fourth European Conference on Antennas and Propagation, 1-4, April 2010.

15. Salvador, S. M. and G. Vecchi, "Experimental tests of microwave breast cancer detection on phantoms," IEEE Transactions on Antennas and Propagation, Vol. 57, 1705-1712, June 2009.
doi:10.1109/TAP.2009.2019901

16. Mashal, A., J. H. Booske, and S. C. Hagness, "Toward contrast-enhanced microwave-induced thermoacoustic imaging of breast cancer: An experimental study of the e®ects of microbubbles on simple thermoacoustic targets," Physics in Medicine and Biology, Vol. 54, 641-650, 2009.
doi:10.1088/0031-9155/54/3/011

17. Mashal, A., B. Sitharaman, X. Li, P. K. Avti, A. V. Sahakian, J. H. Booske, and S. C. Hagness, "Toward carbon-nanotube-based theranostic agents for microwave detection and treatment of breast cancer: Enhanced dielectric and heating response of tissue-mimicking materials," IEEE Transactions on Biomedical Engineering, Vol. 57, 1831-1834, August 2010.
doi:10.1109/TBME.2010.2042597

18. Chen, Y. F., I. J. Craddock, and P. Kosmas, "Feasibility study of lesion classification via contrast-agent-aided UWB breast imaging," IEEE Transactions on Biomedical Engineering, Vol. 57, No. 5, 1003-1007, May 2010.
doi:10.1109/TBME.2009.2038788

19. Rubaek, T., P. M. Meaney, P. Meincke, and K. D. Paulsen, "Nonlinear microwave imaging for breast cancer screening using Gauss{Newton's method and the CGLS inversion algorithm," IEEE Transactions on Antennas and Propagation, Vol. 55, 2320-2331, August 2007.
doi:10.1109/TAP.2007.901993

20. Demidenko, E., A. Hartov, and K. Paulsen, "Statistical estimation of resistance/conductance by electrical impedance tomography measurements," IEEE Transactions on Medical Imaging, Vol. 23, 829-838, July 2004.

21. Hartov, A., R. A. Mazzarese, F. R. Reiss, T. E. Kerner, K. S. Osterman, D. B. Williams, and K. D. Paulsen, "A multichannel continuously selectable multifrequency electrical impedance spectroscopy measurement system," IEEE Transactions on Biomedical Engineering, Vol. 47, 49-58, January 2000.
doi:10.1109/10.817619

22. Cherepenin, V. A., A. Y. Karpov, A. V. Korjenevsky, V. N. Kornienko, Y. S. Kultiasov, M. B. Ochapkin, O. V. Trochanova, and J. D. Meister, "Three-dimensional EIT imaging of breast tissues: System design and clinical testing," IEEE Transactions on Medical Imaging, Vol. 21, 662-667, June 2002.
doi:10.1109/TMI.2002.800602

23. Boverman, G., T.-J. Kao, R. Kulkarni, B. S. Kim, D. Isaacson, G. J. Saulnier, and J. C. Newell, "Robust linearized image reconstruction for multifrequency eit of the breast," IEEE Transactions on Medical Imaging, Vol. 27, 1439-1448, October 2008.

24. Tamburrinoand, A. and G. Rubinacci, "A new non-iterative inversion method for electrical resistance tomography," Inverse Problems, Vol. 18, 1809-1829, December 2002.
doi:10.1088/0266-5611/18/6/323

25. Flores-Tapia, D. and S. Pistorius, "Electrical impedance tomography reconstruction using a monotonicity approach based on a priori knowledge," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4996-4999, August-September 2010.

26. Conceicao, R., M. O'Halloran, M. Glavin, and E. Jones, "Comparison of planar and circular antenna configurations for breast cancer detection using microwave imaging," Progress In Electromagnetics Research, Vol. 99, 1-20, 2009.
doi:10.2528/PIER09100204

27. Soumekh, M., Synthetic Aperture Radar Signal Processing with MATLAB Algorithms, Wiley-Interscience, New York City, New York, USA, 1999.

28. Bayford, R. H., "Bioimpedance tomography," Annual Review of Biomedical Engineering, Vol. 8, 63-91, August 2006.
doi:10.1146/annurev.bioeng.8.061505.095716

29. Holder, D. S., Electrical Impedance Tomography: Methods, History and Applications, IOP Publishing, Bristol, UK, 2005.

30. Neumaier, A., "Solving Ill-conditioned and singular linear systems: A tutorial on regularization," SIAM Review, Vol. 40, 636-666, September 1998.
doi:10.1137/S0036144597321909

31. Marquadt, D., "An algorithm for least squares estimation of nonlinear parameters," SIAM Journal of Applied Mathematics, Vol. 11, 431-441, June 1963.
doi:10.1137/0111030

32. Vogel, C., Computational Methods for Inverse Problems, SIAM, Philadelphia, PA, USA, 2001.

33. Somersalo, E., M. Cheaney, D. Issacson, and E. Issacson, "Layer stripping, a direct numerical method for impedance imaging," Inverse Problems, Vol. 7, 899-926, December 1991.
doi:10.1088/0266-5611/7/6/011

34. Siltaten, S., J. Mueller, and D. Issacson, "An implementation of the reconstruction algorithms of Nachman for the 2D inverse conductivity problem," Inverse Problems, Vol. 16, 681-699, June 2000.
doi:10.1088/0266-5611/16/3/310

35. Bruhl, M., "Explicit characterization of inclusions in electrical impedance tomography ," SIAM Journal on Mathematical Analysis, Vol. 32, 1327-1341, December 2001.
doi:10.1137/S003614100036656X

36. Yaffe, M. J., J. M. Boone, N. Packard, O. Alonzo-Proulx, S. Y. Huang, C. L. Peressotti, A. Al-Mayah, and K. Brock, "The myth of the 50-50 breast," Medical Physics, Vol. 36, 5437-5443, December 2009.
doi:10.1118/1.3250863

37. Flores-Tapia, D. and S. Pistorius, "A real time wavefront reconstruction approach for breast microwave imaging using SMPD based interpolation," IEEE 2010 International Conference on Image Processing, October 2010.

38. Gonzalez, R. C. and R. E. Woods, Digital Image Processing, Prentice Hall, Upper Saddle River, New Jersey, USA, 2002.

39. Hughes, L. L., M. Wang, D. L. Page, R. Gray, L. J. Solin, N. E. Davidson, M. A. Lowen, J. N. Ingle, A. Recht, and W. C. Wood, "Local excision alone without irradiation for ductal carcinoma in situ of the breast: A trial of the Eastern Cooperative on Cology Group," Journal of Clinical Oncology, Vol. 27, 5319-5324, November 2009.

40. Flores-Tapia, D., G. Thomas, A. Sabouni, S. Noghanian, and S. Pistorius, "Breast tumor microwave simulator based on a radar signal model," IEEE International Symposium on Signal Processing and Information Technology, 1-6, August 2006.

41. Flores-Tapia, D., G. Thomas, and S. Pistorius, "Skin surface removal on breast microwave imagery," Proceedings of the SPIE Medical Imaging 2006 Conference, Vol. 7, No. 2, 61433A.1-61433A.9, February 2006.

Dr. Daniel Flores-Tapia

Dr. Martin O'Halloran

Prof. Stephen Pistorius