An innovative microwave imaging technique for non destructive evaluation: applications to civil structures monitoring and biological bodies inspection

Industrial and biomedical applications of microwave imaging techniques based on inverse scattering integral relations have become more and more important. In order to reduce the computational costs allowing a quasi real-time processing, an innovative inversion procedure based on the use of a genetic algorithm and on the Sherman-Morrison-Woodbury matrix inversion method is presented. Selected numerical results concerning various scenarios and scatterer dimensions, are presented in order to give some indications on the effectiveness but also current limitations of the proposed approach.

[1]  Andrea Massa,et al.  Genetic Algorithm (GA) Based Techniques for 2D Microwave Inverse Scattering , 2002 .

[2]  Matteo Pastorino,et al.  A reconstruction procedure for microwave nondestructive evaluation based on a numerically computed Green's function , 2003, IEEE Transactions on Instrumentation and Measurement.

[3]  Matteo Pastorino,et al.  A microwave inverse scattering technique for image reconstruction based on a genetic algorithm , 2000, IEEE Trans. Instrum. Meas..

[4]  A. Massa,et al.  Reconstruction algorithms for electromagnetic imaging , 2002, IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).

[5]  Matteo Pastorino,et al.  A stochastic microwave imaging approach for NDE applications , 2001 .

[6]  J. A. Buck,et al.  Engineering Electromagnetics , 1967 .

[7]  D. S. Jones,et al.  The theory of electromagnetism , 1964 .

[8]  Matteo Pastorino,et al.  Noninvasive imaging for the new century , 1999 .

[9]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[10]  Matteo Pastorino,et al.  A global optimization technique for microwave nondestructive evaluation , 2002, IEEE Trans. Instrum. Meas..

[11]  Matteo Pastorino,et al.  Numerical assessment concerning a focused microwave diagnostic method for medical applications , 2000 .

[12]  Ovidio Mario Bucci,et al.  A novel approach to scatterers localization problem , 2003 .

[13]  Paul M. Meaney,et al.  Microwaves for breast cancer detection , 2003 .

[14]  Matteo Pastorino,et al.  Short-range microwave inverse scattering techniques for image reconstruction and applications , 1998, IEEE Trans. Instrum. Meas..

[15]  E.C. Fear,et al.  Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models , 2005, IEEE Transactions on Microwave Theory and Techniques.

[16]  V. Pascazio,et al.  An adaptive wavelet-based approach for non-destructive evaluation applications , 2000, IEEE Antennas and Propagation Society International Symposium. Transmitting Waves of Progress to the Next Millennium. 2000 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (C.

[17]  F. Santosa,et al.  Reconstruction of a two-dimensional binary obstacle by controlled evolution of a level-set , 1998 .