Using a priori information for regularization in breast microwave image reconstruction

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 9, 2010, Pages 2197-2208

  Ashtari, Ali ^a,b   Noghanian, Sima ^c   Sabouni, Abas ^a,c   Aronsson, Jonatan ^a   Thomas, Gabriel ^a   Pistorius, Stephen ^a,d  

^a UNIVERSITY OF MANITOBA   (Canada)

^b MANITOBA HYDRO   (Canada)

^c University of North Dakota   (United States)

^d CANCERCARE MANITOBA   (Canada)

Author keywords

Breast microwave imaging; genetic algorithms (GAs); inverse scattering; neural networks (NNs); pattern recognition

Indexed keywords

BREAST IMAGING; BREAST PHANTOM; FIBROGLANDULAR; FIBROGLANDULAR TISSUE; HIGHEST RESOLUTIONS; ILL POSED; IMAGING APPLICATIONS; INVERSE SCATTERING; MICROWAVE IMAGES; MICROWAVE IMAGING; NEURAL NETWORK CLASSIFIER; PRIORI INFORMATION; RECONSTRUCTION PROBLEMS; REGULARIZATION APPROACH; REGULARIZATION METHODS; SIMULATED DATA;

DIELECTRIC PROPERTIES; DYNAMIC LOADS; GENETIC ALGORITHMS; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; MICROWAVES; PATTERN RECOGNITION; SCATTERING;

NEURAL NETWORKS;

ARTICLE; BREAST; BREAST EXAMINATION; COST MINIMIZATION ANALYSIS; DIELECTRIC CONSTANT; GENETIC ALGORITHM; IMAGE QUALITY; IMAGING; MICROWAVE IMAGE RECONSTRUCTION; NERVE CELL NETWORK; PATTERN RECOGNITION; PHANTOM; RECORDING; SIMULATION; STANDARDIZATION; TUMOR VOLUME;

BREAST; DIAGNOSTIC IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROWAVES; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PHANTOMS, IMAGING;

EID: 77955860272     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2051439     Document Type: Article

References (45)

1. E. C. Fear, X. Li, S. C. Hagness, andM. A. Stuchly, "Confocal microwave imaging for breast cancer detection: Localization of tumors in three dimensions," IEEE Trans. Biomed. Eng., vol.49, no.8, pp. 812-822, Aug. 2002.
2. T.Rubk, P. M. Meaney, P. Meincke, andK. Paulsen, "Nonlinear microwave imaging for breast-cancer screening using Gauss-Newton's method and the CGLS inversion algorithm," IEEE Trans. Antennas Propag., vol.55, no.8, pp. 2320-2331, Aug. 2007.
3. S. Semenov, P. Svenson, A. Bulyshev, A. Souvorov, A. Nazarov, Y. Sizov, V. Posukh, A. Pavlovsky, P. Repin, A. Starostin, B. Voinov, M. Taran, G. Tatsis, and V. Baranov, "Three-dimensional microwave tomography: Initial experimental imaging of animals," IEEE Trans. Biomed. Eng., vol.49, no.1, pp. 55-63, Jan. 2002.
4. P. Mojabi and J. LoVetri, "Overview and classification of some regularization techniques for the Gauss-Newton inversion method applied to inverse scattering problems," IEEE Trans. Antenna Propag., vol.57, no.9, pp. 2658-2665, Sep. 2009.
5. Y. M. Wang and W. C. Chew, "An iterative solution of two dimensional electromagnetic inverse scattering problem," Imag. Syst. Technol., vol.1, pp. 100-108, 1989.
6. A. Abubakar, P. M. van den Berg, and J. J. Mallorqui, "Imaging of biomedical data using a multiplicative regularized contrast source inversion method," IEEE Trans. Microw. Technol. Tech., vol.50, no.7, pp. 1761-1771, Jul. 2002.
7. A. Abubakar, T. M. Habashy, V. L. Druskin, L. Knizhnerman, and D. Alumbaugh, "2.5D forward and inverse modeling for interpreting low frequency electromagnetic measurements," Geophysics, vol.73, pp. F165-F177, 2008.
8. M. Lazebnik, 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, pp. 6093-6115, 2007. (Pubitemid 350093183)
9. -(2009). [Online]. Available: www.breastcancer.org.
10. E. Zastrow, S. K. Davis, M. Lazebnik, F. Kelcz, B. D. V. Veen, and S. C. Hagness. (2007). Database of 3D gridbased numerical breast phantoms for use in computational electromagnetics simulations,Tech. Rep., 2007. [Online]. Available: http://uwcem.ece.wisc.edu/MRIdatabase/InstructionManual.pdf
11. S. P. Poplack, K. D. Paulsen, A. Hartov, P. M. Meaney, B. Pogue, T. Tosteson, M. Grove, S. Soho, and W. Wells, "Electromagnetic breast imaging: Pilot results inwomenwith abnormalmammography," Radiology, vol.23, pp. 350-359, 2007.
12. A. Bulyshev, S. Semenov, A. Souvorov, R. Svenson, A. Nazarov, Y. Sizov, and G. Tatsis, "Three-dimensional microwave tomography: Initial experimental imaging of animals," IEEE Trans. Biomed. Eng., vol.49, no.1, pp. 55-63, Jan. 2002.
13. S. Semenov, R. Svenson, A. Bulyshev, A. Souvorov, A. Nazarov, Y. Sizov, A. Pavlovsky, V. Borisov, B. Voinov, G. Simonova, A. Starostin, V. Posukh, G. Tatsis, and V. Baranov, "Three-dimensional microwave tomography: Experimental prototype of the system and vector Born reconstruction method," IEEE Trans. Biomed. Eng., vol.46, no.8, pp. 937-946, Aug. 1999.
14. E. C. Fear, S. C. Hagness, P. M. Meaney, M. Okoniewski, and M. A. Stuchly, "Enhancing breast tumor detection with near field imaging," IEEE Microw. Mag., vol.3, no.1, pp. 48-56, Mar. 2002.
15. W. C. Chew and Y. M. Wang, "Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method," IEEE Trans. Med. Imag., vol.9, no.2, pp. 218-225, Jun. 1990.
16. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
17. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. New York: Addison-Welsey, 1989.
18. F. Herrera, M. Lozano, and J. L. Verdegay, "Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis," Artif. Intell. Rev., vol.12, pp. 265-319, 1998.
19. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs. New York: Springer-Verlag, 1992.
20. J. M. Johnson and Y. Ramat-Samii, "Genetic algorithms in engenering electromagnetics," IEEE Antennas Propag. Mag., vol.39, no.4, pp. 7- 21, Aug. 1997.
21. S. Caorsi, A. Massa, M. Pastorino, and A. Rosani, "Microwave medical imaging: Potentialities and limitations of a stochastic optimization technique," IEEE Trans.Microw. Theory Tech., vol.52, no.8, pp. 1909-1916, Aug. 2004.
22. G. Franceschini, D. Franceschini, and A. Massa, "Full-vectorial threedimensional microwave imaging through the iterative multiscaling strategy-A preliminary assessment," IEEE Geosci. Remote Sens. Lett., vol.2, no.4, pp. 428-432, Oct. 2005.
23. M. Pastorino, S. Caorsi, and A. Massa, "A global optimization technique for microwave nondestructive evaluation," IEEE Trans. Instrum. Meas., vol.51, no.4, pp. 666-673, Aug. 2002.
24. X. Chen, K. Huang, and X.-B. Xu, "Microwave imaging of buried inhomogeneous objects using parallel genetic algorithm with FDTD method," Progr. Electromagn. Res., vol.53, pp. 283-298, 2005.
25. S. Coarsi, A.Massa, and M. Pastorino, "A computational technique based on a real-coded genetic algorithm for microwave imaging purposes," IEEE Trans. Geosci. Remote Sens., vol.38, no.4, pp. 1697-1708, Jul. 2000.
26. S. Caorsi and M. Pastorino, "Two-dimensional microwave imaging approach based on a genetic algorithm," IEEE Trans. Antennas Propag., vol.48, no.3, pp. 370-373, Mar. 2000.
27. E. Bort, G. Franceschini, A. Massa, and P. Rocca, "Improving the effectiveness of GA-based approaches to microwave imaging through an innovative parabolic crossover," IEEE Antennas Wireless Propag. Lett., vol.4, no.1, pp. 138-142, Jun. 2005.
28. M. Donelli, G. Franceschini, A. Martini, and A. A.Massa, "An integrated multiscaling strategy based on a particle swarm algorithm for inverse scattering problems," IEEE Trans. Geosci. Remote Sens., vol.44, no.2, pp. 298-312, Feb. 2006.
29. S. Haykin, Neural Networks: A Comprehensive Foundation. NewYork: Macmillan, 1994.
30. T. Williams, E. Fear, and D. Westwick, "Tissue sensing adaptive radar for breast cancer detection-investigations of an improved skin-sensing method," IEEE Trans. Microw. Theory Tech., vol.54, no.4, pp. 1308- 1314, Jun. 2006.
31. K. S. Yee, "Numerical solution of initial boundary value problems involving maxwells equations in isotropic media," IEEE Trans. Antennas Propag., vol.AP-14, no.3, pp. 302-307, May 1966.
32. B. Chen, D. Fang, and B. H. Zhou, "Modified Berenger PML absorbing boundary condition for FDTDmeshes," IEEE Microw.GuidedWave Lett., vol.5, no.11, pp. 399-401, Nov. 1995.
33. K. S. Kunz and R. J. Luebbers, The Finite Difference Domain Method for Electromagnetics. Boca Raton, FL: CRC Press, 1993.
34. A. Taflove and S. Hagness, Computational Electrodynamics: The Finite- Difference Time-Domain Method. Boston, MA: Artech House, 2000.
35. P. Kosmas, C. M. Rappaport, and E. Bishop, "Modeling with the FDTD method for microwave breast cancer detection," IEEE Trans. Microw. Theory Tech., vol.52, no.8, pp. 1890-1897, Aug. 2004.
36. K. Levenberg, "A method for the solution of certain non-linear problems in least squares," The Quart. Appl. Math., vol.2, pp. 164-168, 1944.
37. D. Marquardt, "An algorithm for least-squares estimation of nonlinear parameters," SIAM J. Appl. Math., vol.11, pp. 431-441, 1963.
38. M. R. Haralick and L. G. Shapiro, Computer and Robot Vision, Volume I. New York: Addison-Welsey.
39. K. Jeremy andA. Stan, "Matlabmpi," J. Parallel Distrib. Comput., vol.46, pp. 997-1005, 2004.
40. S. Krakiwsky, L. Turner, and M. Okoniewski, "Acceleration of finitedifference time-domain (FDTD) using graphics processor units (GPU)," in Proc. IEEE MTT-S Int. Microw. Symp. Dig., New York, NY, vol.2, 2004, pp. 1033-1036.
41. T. Hartley, U. Catalyurek, A. Ruiz, F. Igual, R. Mayo, and M. Ujaldon, "Biomedical image analysis on a cooperative cluster of gpus and multicores," in Proc. 22nd Annu. Int. Conf. Supercomput., 2008, pp. 15-25.
42. A. Sabouni, M. Xu, S. Noghanian, P. Thulasriaman, and S. Pistorius, "Efficientmicrowave breast imaging technique using parallel finite difference time domain and parallel genetic algorithms," presented at the IEEE AP-S Int. Symp., Honolulu, HI, 2007..
43. M. Xu, A. Sabouni, P. Thulasiraman, S. Noghanian, and S. Pistorius, "Image reconstruction using microwave tomography for breast cancer detection on distributed memory machine," in Proc. IEEE Parallel Process. Int. Conf., 2007, pp. 36-42.
44. M. Xu, A. Sabouni, P. Thulasiraman, S. Noghanian, and S. Pistorius, "A parallel algorithm for microwave tomogrhapy in breast cancer detection," presented at the IEEE Int. Workshop Parallel Distrib. Sci. Eng. Comput., Long Beach, CA, 2007.
45. A. Sabouni, D. Flores-Tapia, S. Noghanian, G. Thomas, and S. Pistorius, "Hybrid microwave tomography technique for breast cancer imaging," presented at the IEEE Int. Conf. Eng. Med. Biol. Soc., New York, NY, 2006.