- Research Article
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Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection
EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 091961 (2006)
Multistatic adaptive microwave imaging (MAMI) methods are presented and compared for early breast cancer detection. Due to the significant contrast between the dielectric properties of normal and malignant breast tissues, developing microwave imaging techniques for early breast cancer detection has attracted much interest lately. MAMI is one of the microwave imaging modalities and employs multiple antennas that take turns to transmit ultra-wideband (UWB) pulses while all antennas are used to receive the reflected signals. MAMI can be considered as a special case of the multi-input multi-output (MIMO) radar with the multiple transmitted waveforms being either UWB pulses or zeros. Since the UWB pulses transmitted by different antennas are displaced in time, the multiple transmitted waveforms are orthogonal to each other. The challenge to microwave imaging is to improve resolution and suppress strong interferences caused by the breast skin, nipple, and so forth. The MAMI methods we investigate herein utilize the data-adaptive robust Capon beamformer (RCB) to achieve high resolution and interference suppression. We will demonstrate the effectiveness of our proposed methods for breast cancer detection via numerical examples with data simulated using the finite-difference time-domain method based on a 3D realistic breast model.
Nass SJ, Henderson IC, Lashof JC: Mammography and Beyond: Developing Techniques for the Early Detection of Breast Cancer. Institute of Medicine, National Academy Press, Washington, DC, USA; 2001.
Fear EC, Hagness SC, Meaney PM, Okoniewski M, Stuchly MA: Enhancing breast tumor detection with near-field imaging. IEEE Microwave Magazine 2002, 3(1):48–56. 10.1109/6668.990683
Gabriel C, Lau RW, Gabriel S: The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Physics in Medicine and Biology 1996, 41(11):2251–2269. 10.1088/0031-9155/41/11/002
Chaudhary SS, Mishra RK, Swarup A, Thomas JM: Dielectric properties of normal and malignant human breast tissues at radiowave and microwave frequencies. Indian Journal of Biochemistry and Biophysics 1984, 21: 76–79.
Joines WT, Zhang Y, Li C, Jirtel RL: The measured electrical properties of normal and malignant human tissues from 50 to 900 MHz. Medical Physics 1994, 21(4):547–550.
Surowiec AJ, Stuchly SS, Barr JR, Swarup A: Dielectric properties of breast carcinoma and the surrounding tissues. IEEE Transactions on Biomedical Engineering 1988, 35(4):257–263. 10.1109/10.1374
Swarup A, Stuchly SS, Surowiec AJ: Dielectric properties of mouse MCA1 fibrosarcoma at different stages of development. Bioelectromagnetics 1991, 12(1):1–8. 10.1002/bem.2250120102
Li X, Hagness SC: A confocal microwave imaging algorithm for breast cancer detection. IEEE Microwave and Wireless Components Letters 2001, 11(3):130–132.
Guo B, Wang Y, Li J, Stoica P, Wu R: Microwave imaging via adaptive beamforming methods for breast cancer detection. Proceedings of Progress in Electromagnetics Research Symposium (PIERS '05), August 2005, Hangzhou, China
Guo B, Wang Y, Li J, Stoica P, Wu R: Microwave imaging via adaptive beamforming methods for breast cancer detection. Journal of Electromagnetic Waves and Applications 2006, 20(1):53–63. 10.1163/156939306775777350
Nilavalan R, Gbedemah A, Craddock IJ, Li X, Hagness SC: Numerical investigation of breast tumour detection using multi-static radar. IEE Electronics Letters 2003, 39(25):1787–1789. 10.1049/el:20031183
Fishler E, Haimovich A, Blum R, Chizhik D, Cimini L, Valenzuela R: MIMO radar: an idea whose time has come. Proceedings of IEEE Radar Conference, April 2004, Philadelphia, Pa, USA 71–78.
Fishler E, Haimovich A, Blum R, Chizhik D, Cimini L, Valenzuela R: Spatial diversity in radars—models and detection performance. to appear in IEEE Transactions on Signal Processing
Xu L, Li J, Stoica P: Radar Imaging via Adaptive MIMO Techniques. Proceedings of 14th European Signal Processing Conference (EUSIPCO '06), September 2006, Florence, Italy https://doi.org/www.sal.ufl.edu/xuluzhou/EUSIPCO2006.pdf
Bond EJ, Li X, Hagness SC, Van Veen BD: Microwave imaging via space-time beamforming for early detection of breast cancer. IEEE Transactions on Antennas and Propagation 2003, 51(8):1690–1705. 10.1109/TAP.2003.815446
Xie Y, Guo B, Xu L, Li J, Stoica P: Multi-static adaptive microwave imaging for early breast cancer detection. Proceedings of 39th ASILOMAR Conference on Signals, Systems and Computers, October 2005, Pacific Grove, Calif, USA
Li J, Stoica P, Wang Z: On robust Capon beamforming and diagonal loading. IEEE Transactions on Signal Processing 2003, 51(7):1702–1715. 10.1109/TSP.2003.812831
Stoica P, Wang Z, Li J: Robust Capon beamforming. IEEE Signal Processing Letters 2003, 10(6):172–175. 10.1109/LSP.2003.811637
Li J, Stoica P (Eds): Robust Adaptive Beamforming. John Wiley & Sons, New York, NY, USA; 2005.
Fear EC, Li X, Hagness SC, Stuchly MA: Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions. IEEE Transactions on Biomedical Engineering 2002, 49(8):812–822. 10.1109/TBME.2002.800759
Fear EC, Okoniewski M: Confocal microwave imaging for breast cancer detection: Application to hemispherical breast model. Proceedings of IEEE MTT-S International Microwave Symposium Digest, June 2002, Seattle, Wash, USA 3: 1759–1762.
Monzingo RA, Miller TW: Introduction to Adaptive Arrays. John Wiley & Sons, New York, NY, USA; 1980.
Feldman DD, Griffiths LJ: A projection approach for robust adaptive beamforming. IEEE Transactions on Signal Processing 1994, 42(4):867–876. 10.1109/78.285650
Meaney PM: Importance of using a reduced contrast coupling medium in 2D microwave breast imaging. Journal of Electromagnetic Waves and Applications 2003, 17(2):333–355. 10.1163/156939303322235851
Sullivan DM: Electromagnetic Simulation Using FDTD Method. 1st edition. Wiley/IEEE Press, New York, NY, USA; 2000.
Taflove A, Hagness SC: Computational Electrodynamics: The Finite-Difference Time-Domain Method. 3rd edition. Artech House, Boston, Mass, USA; 2005.
Gedney SD: An anisotropic perfectly matched layer-absorbing medium for the truncation of FDTD lattices. IEEE Transactions on Antennas and Propagation 1996, 44(12):1630–1639. 10.1109/8.546249
Sullivan DM:-transform theory and the FDTD method. IEEE Transactions on Antennas and Propagation 1996, 44(1):28–34. 10.1109/8.477525
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Xie, Y., Guo, B., Li, J. et al. Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection. EURASIP J. Adv. Signal Process. 2006, 091961 (2006). https://doi.org/10.1155/ASP/2006/91961
- Malignant Breast
- Multiple Antenna
- Breast Cancer Detection