Vol. 39

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2012-03-02

Neighborhood-Based Algorithm to Facilitate the Reduction of Skin Reflections in Radar-Based Microwave Imaging

By B. Maklad, C. Curtis, Elise C. Fear, and Geoffrey G. Messier
Progress In Electromagnetics Research B, Vol. 39, 115-139, 2012
doi:10.2528/PIERB11122208

Abstract

Radar-based microwave imaging is being investigated as a complementary diagnostic tool for breast cancer detection. One of the major challenges associated with radar-based breast imaging is the removal of the overwhelming reflection caused by the skin. This paper presents an algorithm that has been designed for realistic 3D scenarios. The algorithm is tested on a variety of realistic 3D numerical breast models, as well as measured data from a phantom and patient. In all cases, the reflections from the skin are significantly reduced, facilitating detection of known tumors.

Citation


B. Maklad, C. Curtis, Elise C. Fear, and Geoffrey G. Messier, "Neighborhood-Based Algorithm to Facilitate the Reduction of Skin Reflections in Radar-Based Microwave Imaging," Progress In Electromagnetics Research B, Vol. 39, 115-139, 2012.
doi:10.2528/PIERB11122208
http://jpier.org/PIERB/pier.php?paper=11122208

References


    1. Li, X. and S. C. Hagness, "A confocal microwave imaging algorithm for breast cancer detection," IEEE Microw. Wireless Comp. Lett., Vol. 11, 130-132, Mar. 2001.
    doi:10.1109/7260.915627

    2. Bond, E. J., et al., "Microwave imaging via space-time beamforming for early detection of breast cancer," IEEE Trans. Ant. Propag., Vol. 51, 1690-1705, Aug. 2003.
    doi:10.1109/TAP.2003.815446

    3. Sill, J. M. and E. C. Fear, "Tissue sensing adaptive radar for breast cancer detection: Experimental investigation of simple tumor models," IEEE Trans. Microw. Theory Tech., Vol. 53, 3312-3319, Nov. 2005.
    doi:10.1109/TMTT.2005.857330

    4. Bourqui, J., et al., "A prototype system for measuring microwave frequency reflections from the breast," Int. J. Biomed. Imag., Vol. 2012, 2012.
    doi:10.1155/2012/562563

    5. Klemm, M., et al., "Microwave radar-based differential breast cancer imaging: Imaging in homogeneous breast phantoms and low contrast scenarios," IEEE Trans. Ant. Propag., Vol. 58, 2337-2344, 2010.
    doi:10.1109/TAP.2010.2048860

    6. Fear, E. C. and J. M. Sill, "Preliminary investigations of tissue sensing adaptive radar for breast tumor detection," Proc. 25th Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., 3787-3790, 2003.

    7. Jacobsen, S. and Y. Birkelund, "Improved resolution and reduced clutter in ultra-wideband microwave imaging using cross-correlated back projection: Experimental and numerical results," Int. J. Biomed. Imag., Vol. 2010, 2010.
    doi:10.1155/2010/781095

    8. O'Halloran, M., et al., "Quasi-multistatic MIST beamforming for the early detection of breast cancer," IEEE Trans. Biomed. Eng., Vol. 57, 830-840, 2010.
    doi:10.1109/TBME.2009.2016392

    9. Maskooki, A., E. Gunawan, C. B. Soh, and K. S. Low, "Frequency domain skin artifact removal method for ultra-wideband breast cancer detection," Progress In Electromagnetics Research, Vol. 98, 299-314, 2009.
    doi:10.2528/PIER09101302

    10. Wanjun, Z. and F. Chin, "Entropy-based time window for artifact removal in UWB imaging of breast cancer detection," IEEE Signal Proc. Lett., Vol. 13, 585-588, 2006.
    doi:10.1109/LSP.2006.876346

    11. Winters, D. W., et al., "Estimating the breast surface using UWB microwave monostatic backscatter measurements," IEEE Trans. Biomed. Eng., Vol. 55, 247-256, Jan. 2008.
    doi:10.1109/TBME.2007.901028

    12. Maklad, B. and E. C. Fear, "Reduction of skin reflections in radar-based microwave breast imaging," Proc. 30th Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., 21-24, 2008.
    doi:10.1109/IEMBS.2008.4649081

    13. Bourqui, J., et al., "Balanced antipodal vivaldi antenna with dielectric director for near-field microwave imaging," IEEE Trans. Ant. Propag., Vol. 58, 2318-2326, 2010.
    doi:10.1109/TAP.2010.2048844

    14. Sill, J. M., et al., "Realistic breast models for second generation tissue sensing adaptive radar system," Proc. EuCAP 2007, 4, 2007.

    15. Kurrant, D. J. and E. C. Fear, "An improved technique to predict the time-of-arrival of a tumor response in radar-based breast imaging," IEEE Trans. Biomed. Eng., Vol. 56, 1200-1208, 2009.
    doi:10.1109/TBME.2008.2011914

    16. Lazebnik, M., et al., "A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries," Phys. Med. Biol., Vol. 52, 2637-2656, 2007.
    doi:10.1088/0031-9155/52/10/001

    17. Sill, J. M. and E. C. Fear, "Tissue sensing adaptive radar for breast cancer detection: Study of immersion liquids," Electron. Lett., Vol. 41, 113-115, 2005.
    doi:10.1049/el:20056953

    18. Fear, E. C., et al., "Antenna evaluation for ultra-wideband microwave imaging," Int. J. Ant. Prop., Vol. 2010, 2010.

    19. Williams, T. C., J. Bourqui, T. R. Cameron, M. Okoniewski, and E. C. Fear, "Laser surface estimation for microwave breast imaging systems," IEEE Trans. Biomed. Eng., Vol. 58, 1193-1199, 2010.
    doi:10.1109/TBME.2010.2098406