Hybrid Binary-Real GA Optimization Approach for Breast Microwave Tomography
Keywords:
Breast cancer imaging, heterogeneous and dispersive breast tissue, hybrid binary-real GA optimization, inverse scattering problem, microwave tomographyAbstract
A microwave tomography imaging system, which uses a hybrid binary-real genetic algorithm (GA) is described in this work. This method utilizes global optimization for solving the inverse scattering problem based on hybrid version of GA, which is the combination of both real and binary-coded GA. This method is principally aimed at breast imaging for the detection of malignant tumors. The proposed technique is based on a time-domain inverse solver, which uses the multi-illumination technique and includes the dispersive and heterogeneous characteristic of the breast tissues. In this algorithm, real-coded GA acts as a regularizer for binary-coded GA and rejects the non-true solutions. The proposed technique is validated using a numerical breast phantom created based on magnetic resonance imaging (MRI) of actual patients. The results are compared with non-hybrid binary and real GAs and the superior efficiency of the proposed method over the methods that solely employ real or binary GA is illustrated.
Downloads
References
M. Pastorino, “Stochastic optimization methods applied to microwaveimaging: A review,” IEEE Trans. Antennas Propagat., vol. 55, no. 3, pp. 538-548, 2007.
A. Sabouni, S. Noghanian, and S. Pistorius, “A global optimization technique for microwave imaging of the inhomogeneous and dispersivebreast,” Canadian Journal of Electrical and Computer Engineering, vol. 35, no.1, pp. 15- 24, 2010.
A. Sabouni, A. Ashtari, S. Noghanian, G. Thomas, and S. Pistorius, “Hybrid binary-real GA for microwave breast tomography,” IEEE Antennas and Propagation Society International Symposium, 2008.
A. Ashtari, S. Noghanian, A. Sabouni, and G. Thomas, “Hybrid binary real genetic algorithms for microwave image reconstruction,” 24thAnnual Review of Progress in Applied Computational Electromagnetics Society, pp. 116-121, Niagara Falls, Canada, 2008.
A. Sabouni and S. Noghanian, “Study of penetration depth and noise inmicrowave tomography technique,” Applied Computational ElectromagneticsSociety (ACES) Journal, vol. 28, no. 5, pp. 391-403, 2013.
T. Rubk, P. Meaney, P. Meincke, and K. Paulsen, “Nonlinear microwave imaging for breast-cancer screening using Gauss-Newton’s method and the CGLS inversion algorithm,” IEEE Trans. Antennas Propagat., vol. 55, no. 8, pp. 2320- 2331, 2007.
P. Meaney, K. Paulsen, S. Geimer, S. Haider, and M. Fanning, “Quantificationof 3-d field effects during 2-d microwave imaging,” IEEE Trans. Biomed. Eng., vol. 49, no. 7, pp. 708-720, 2002.
A. Sabouni, S. Noghanian, and L. Shafai, “Transverse electric and magnetic components of field measurement for microwave breast cancerimaging,” International Symposium on Antenna Technology and Applied Electromagnetics the American Electromagnetics Conference, Ottawa, Canada, 2010.
A. Taflove and S. C. Hagness, Computational Electrodynamics: The Finite-Difference TimeDomain Method, 3rd ed. Artech House, Norwood, 2005.
A. Elsherbeni and V. Demir, The Finite Difference Time Domain Method for Electromagnetics: With MATLAB Simulations, SciTech Publishing Inc., 2009.
M. Bui, S. Stuchly, and G. Costache, “Propagation of transients indispersive dielectric media,” IEEE Trans. Microw. Theory Tech., vol. 39, no. 7, pp. 1165-1172, 1991.
A. Sabouni, S. Noghanian, and S. Pistorius, “Frequency dispersion effects on FDTD model for breast tumor imaging application,” IEEE International Symposium on Antennas and Propagation, pp. 1410-1413, 2006.
M. Lazebnik, L. McCartney, D. Popovic, B. Watkins, M. Lindstrom, J. Harter, S. Sewall, A. Magliocco, J. Booske, M. Okoniewski, and S. Hagness, “Large-scale study of the ultra wideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries,” Physics in Medicine and Biology, vol. 52, pp. 2637-2656, 2007.
M. Lazebnik, D. Popovic, L. McCartney, C. Watkins, M. Lindstrom, J. Harter, S. Sewall, T. Ogilvie, A. Magliocco, T. Breslin, D. Temple, W. Mew, J. Booske, M. Okoniewski, and S. Hagness, “Alarge-scale study of the ultra wideband microwave dielectric properties of normal, benign, and malignant breast tissues obtained from cancer surgeries,” Physics in Medicine and Biology, vol. 52, pp. 6093-6115, 2007.
A. Sabouni, S. Noghanian, and S. Pistorius, “Water content and tissue composition effects on microwave tomography results,” International Review of Progress in Applied Computational Electromagnetics (ACES), 2008.
D. Woten and M. El-Shenawee, “Quantitative analysis of breast skinfor tumor detection using electromagnetic waves,” Applied Computational Electromagnetics Society (ACES) Journal, vol. 24, no. 5, pp. 458-463, 2009.
T. Williams, J. Sill, J. Bourqui, and E. Fear, “Tissue sensing adaptive radar for breast cancer detection: Practical improvements,” IEEE International Symposium on Antennas and Propagation, 2010.
E. Zastrow, S. Davis, M. Lazebnik, F. Kelcz, B. Veen, and S. Hagness, “Database of 3d grid-based numerical breast phantoms for use in computational electromagnetics simulations,” Instruction manual, 2007.
E. Zastrow, S. Davis, M. Lazebnik, F. Kelcz, B. Veen, and S. Hagness, “Development of anatomically realistic numerical breast phantoms with accurate dielectric properties for modeling microwave interactions with the human breast,” IEEE Trans. Biomed. Eng., vol. 55, no. 12, pp. 2792-2800, 2008.
E. Zastrow, S. Davis, M. Lazebnik, F. Kelcz, B. Veen, and S. Hagness, “Database of 3D gridbased numerical breast phantoms foruse in computational electromagnetics simulations,” Instruction Manual, University of WisconsinMadison.
J. Richmond, “Scattering by a dielectric cylinder of arbitrary cross sectionshape,” IEEE Trans. Antennas Propagat., vol. 13, no. 3, pp. 334-341, 1965.
M. Xu, A. Sabouni, P. Thulasiraman, S. Noghanian, and S. Pistorius, “Image reconstruction using microwave tomography for breast cancer detection on distributed memory machine,” International Conferenceon Parallel Processing, 2007.
——, “A parallel algorithmic approach for microwave tomography inbreast cancer detection,” IEEE International Parallel and Distributed Processing Symposium, pp. 1-8, 2007.
A. Sabouni, M. Pavlovic, M. Ostadrahimi, and S. Noghanian, “Three dimensional accurate modeling of the microwave tomography imaging system,” IEEE Antenna Propagation International Symposium, Spoken, USA, 2007.
