Microwave Imaging Through a Mode-Matching Bessel Functions Procedure

A novel imaging procedure based on ultra-wideband microwave signals is presented. The procedure exploits the use of Bessel functions mode-matching approach for the identification of the presence and location of significant scatterers inside cylindrically shaped objects. Simulations and measurements on cylinders with inclusions are provided to show the capability of the procedure for capturing the contrast due to different material properties, and this is achieved through the generation/inversion of relatively small matrices. An example involving multilayered cylindrical objects approximating humanlike tissues containing an inclusion is also presented.

[1]  G. L. Gragnani,et al.  An analytical approach to the reconstruction of the radiating currents in inverse electromagnetic scattering , 2007 .

[2]  G. L. Gragnani.  Two-dimensional nonradiating currents for imaging systems: theoretical development and preliminary assessment , 2009 .

[3]  Xu Li,et al.  Microwave imaging via space-time beamforming for early detection of breast cancer , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Paul M. Meaney,et al.  Nonactive antenna compensation for fixed-array microwave imaging. II. Imaging results , 1999, IEEE Transactions on Medical Imaging.

[6]  A. Preece,et al.  Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results , 2009, IEEE Transactions on Antennas and Propagation.

[7]  M. Ravan,et al.  Three-Dimensional Near-Field Microwave Holography Using Reflected and Transmitted Signals , 2011, IEEE Transactions on Antennas and Propagation.

[8]  Steven Kusiak,et al.  The Convex Scattering Support in a Background Medium , 2005, SIAM J. Math. Anal..

[9]  N. Nikolova.  Microwave Imaging for Breast Cancer , 2011, IEEE Microwave Magazine.

[10]  K. Iizuka.  An agar-agar chamber for study of electromagnetic waves in an inhomogeneous medium , 1971 .

[11]  R. Mittra,et al.  The Characteristic Basis Function Method (CBFM): A Numerically Efficient Strategy for Solving Large Electromagnetic Scattering Problems , 2008 .

[12]  Eric L. Miller,et al.  Spherical harmonics microwave algorithm for shape and location reconstruction of breast cancer tumor , 2006, IEEE Transactions on Medical Imaging.

[13]  P. Kosmas,et al.  Time reversal with the FDTD method for microwave breast cancer detection , 2005, IEEE Transactions on Microwave Theory and Techniques.

[14]  Atef Z. Elsherbeni,et al.  Electromagnetic scattering from an eccentric multilayered circular cylinder , 1992 .

[15]  S.C. Hagness,et al.  A confocal microwave imaging algorithm for breast cancer detection , 2001, IEEE Microwave and Wireless Components Letters.

[16]  Yifan Chen,et al.  Pulse Design for Time Reversal Method as Applied to Ultrawideband Microwave Breast Cancer Detection: A Two-Dimensional Analysis , 2007, IEEE Transactions on Antennas and Propagation.

[17]  D. W. Winters,et al.  A Sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem , 2010, IEEE Transactions on Antennas and Propagation.

[18]  A. Monorchio,et al.  An Iteration-Free MoM Approach Based on Excitation Independent Characteristic Basis Functions for Solving Large Multiscale Electromagnetic Scattering Problems , 2008, IEEE Transactions on Antennas and Propagation.

[19]  G. Tiberi,et al.  UWB Microwave Imaging of Objects With Canonical Shape , 2012, IEEE Transactions on Antennas and Propagation.

[20]  David J. Edwards,et al.  A mode matching - Bessel functions based approach for UWB microwave imaging , 2010, 2010 IEEE Antennas and Propagation Society International Symposium.