Ultrawideband microwave imaging of cylindrical objects with inclusions

This study describes the development of a new algorithm for use in a recently established technique for imaging based on ultrawideband (UWB) microwave signals rather than ionising radiations such as x-rays. The method is based on Huygens principle (HP), which removes the need to solve inverse problems and, consequently, the need for matrix generation/inversion. In addition to its simplicity, it is shown that HP enables the detection of the extent to which different tissues or differing conditions of tissues, can be discriminated and render contrast in the final image. Moreover, UWB allows all the information in the frequency domain to be utilised by combining the signals from the individual frequencies to construct a consistent image. It follows that the methodology can identify the presence and the location of significant scatterers inside a volume. Validation of the technique through simulations and measurements on cylinders with inclusions is presented.

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

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

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

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

[5]  D. W. van der Weide,et al.  Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms , 2004, IEEE Transactions on Microwave Theory and Techniques.

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

[7]  Lihong V. Wang,et al.  Time reversal and its application to tomography with diffracting sources. , 2004, Physical review letters.

[8]  C Gabriel,et al.  The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.

[9]  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.

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

[11]  X. Li,et al.  Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions , 2002, IEEE Transactions on Biomedical Engineering.

[12]  Anthony J. Devaney,et al.  Holography and the inverse source problem. Part II: Inhomogeneous media , 1985 .

[13]  Xu Li,et al.  Microwave imaging via space-time beamforming for early detection of breast cancer , 2003 .

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

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

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

[17]  Peter Enders,et al.  Huygens' Principle as Universal Model of Propagation , 2009 .

[18]  R. P. Porter,et al.  Holography and the inverse source problem , 1982 .

[19]  Atef Z. Elsherbeni,et al.  Scattering from an impedance cylinder embedded in a nonconcentric dielectric cylinder , 1990 .

[20]  C R Hill,et al.  Review article: high intensity focused ultrasound--potential for cancer treatment. , 1995, The British journal of radiology.