Short-range microwave inverse scattering techniques for image reconstruction and applications

This paper deals with microwave imaging techniques based on electromagnetic inverse scattering and devoted to nondestructive testing, civil engineering, and scientific and medical applications. In particular, the focus is on spatial-domain algorithms for short-range reconstruction of dielectric objects. Some of the most significant approaches recently proposed in the literature are considered and some trends of the present research activity on this topic are briefly discussed, although it is really difficult to establish precise directions for this research, as the range of proposal is now very wide and the related activities evolve rapidly. Finally, two stochastic inversion methodologies are presented and questions concerning their effectiveness in the light of practical applications are addressed.

[1]  F.E. van Vliet,et al.  Two-dimensional Born-type velocity inversion using multiple-frequency information , 1994, Proceedings of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting.

[2]  T. C. Guo,et al.  Computation of electromagnetic wave scattering from an arbitrary three-dimensional inhomogeneous dielectric object , 1989 .

[3]  Stephanie J. Lockwood,et al.  Pulse‐echo microwave imaging for NDE of civil structures: Image reconstruction, enhancement, and object recognition , 1997 .

[4]  Akira Ishimaru,et al.  Subsurface detection of a buried object using angular correlation function measurement , 1997 .

[5]  L. Jofre,et al.  Active microwave sensing of highly contrasted dielectric bodies , 1993 .

[6]  V. Rahmat-Samii,et al.  Genetic algorithms in engineering electromagnetics , 1997 .

[7]  Jordi J. Mallorquí,et al.  Convergence and stability assessment of Newton-Kantorovich reconstruction algorithms for microwave tomography , 1998, IEEE Transactions on Medical Imaging.

[8]  Karl-Jörg Langenberg,et al.  Microwave Imaging of Defects in Solids , 1995 .

[9]  N. Joachimowicz,et al.  Dielectric Metrology VIA Microwave Tomography: Present and Future , 1994 .

[10]  Matteo Pastorino,et al.  Microwave imaging based on a Markov random field model , 1994 .

[11]  Weng Cho Chew,et al.  Experimental verification of super resolution in nonlinear inverse scattering , 1998 .

[12]  A. J. Devaney,et al.  A Computer Simulation Study of Diffraction Tomography , 1983, IEEE Transactions on Biomedical Engineering.

[13]  Matteo Pastorino,et al.  Recent advances in short-range microwave imaging in europe , 1998 .

[14]  T. C. Guo,et al.  High resolution microwave imaging simulation of a human neck , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[15]  J. B. Detlefsen.  Industrial Applications of Microwave Imaging , 1991, 1991 21st European Microwave Conference.

[16]  Yuji Sakamoto,et al.  Three-dimensional imaging of objects in accumulated snow using multifrequency holography , 1988 .

[17]  Matteo Pastorino,et al.  A Gibbs random field-based active electromagnetic method for noninvasive diagnostics in biomedical applications , 1995 .

[18]  Reza Zoughi,et al.  Modeling of surface hairline-crack detection in metals under coatings using an open-ended rectangular waveguide , 1997 .

[19]  C. Durney,et al.  On the electromagnetic imaging using linear reconstruction techniques , 1980, Proceedings of the IEEE.

[20]  Matteo Pastorino,et al.  A multiview microwave imaging system for two-dimensional penetrable objects , 1991 .

[21]  X. Derobert,et al.  Microwave Tomography System for Reinforced Concrete Structures , 1994, 1994 24th European Microwave Conference.

[22]  T. C. Guo,et al.  Three-dimensional dielectric imaging by microwave inverse scattering with resolution unlimited by wavelength , 1989, Conference on Electrical Insulation and Dielectric Phenomena,.

[23]  P. M. Berg,et al.  A modified gradient method for two-dimensional problems in tomography , 1992 .

[24]  Matteo Pastorino,et al.  On the relationship for the bistatic modulated scattering technique in scattering applications using scattering properties of antennas , 1998 .

[25]  Salvatore Caorsi,et al.  A microwave‐imaging technique for electromagnetic exposure prediction: Preliminary results , 1998 .

[26]  David E. Goldberg,et al.  Genetic and evolutionary algorithms come of age , 1994, CACM.

[27]  W. Chew,et al.  Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method. , 1990, IEEE transactions on medical imaging.

[28]  T. Habashy,et al.  Simultaneous nonlinear reconstruction of two‐dimensional permittivity and conductivity , 1994 .

[29]  K. Paulsen,et al.  Near-field microwave imaging of biologically-based materials using a monopole transceiver system , 1998 .

[30]  Reza Zoughi,et al.  Microwave imaging of thick composite panels with defects , 1995 .

[31]  M. Hawley,et al.  Noninvasive Control of Hyperthermia , 1990 .

[32]  L. E. Larsen,et al.  Medical Applications of Microwave Imaging , 1986 .