On the Use of Focused Incident Near-Field Beams in Microwave Imaging

We consider the use of focused incident near-field (NF) beams to interrogate the object of interest (OI) in NF microwave imaging (MWI). To this end, we first discuss how focused NF beams can be advantageously utilized to suppress scattering effects from the neighbouring objects whose unknown dielectric properties are not of interest (i.e., undesired scatterers). We then discuss how this approach can also be helpful in reducing the required measured data points to perform imaging. Driven by the relation between the electromagnetic inverse source and inverse scattering problems, our approach emphasizes the importance of tailoring the induced contrast sources in the imaging domain through the utilized incident NF beams. To demonstrate this idea, we consider two recently-proposed NF beams, and simulate them for imaging applications. The first one is a subwavelength focused NF beam generated by a passive NF plate, and the other is a Bessel beam generated by a leaky radial waveguide. Simple imaging examples are considered to explore the potential advantages of this approach, in particular, toward mainly seeing the object of interest, and not the unknown undesired scatterers. The scope of this paper is limited to homogeneous dielectric objects for which the induced total field distributions in the interrogated objects are similar to the incident field distributions (e.g., those that satisfy the Born approximation). Simple inversion results for focused and non-focused beams are presented accompanied by discussions comparing the achieved reconstructed values.

[2]  Haigang Wang,et al.  Microwave Tomography for Industrial Process Imaging: Example Applications and Experimental Results. , 2017, IEEE Antennas and Propagation Magazine.

[3]  Lorenzo Crocco,et al.  An Effective Procedure for MNP-Enhanced Breast Cancer Microwave Imaging , 2014, IEEE Transactions on Biomedical Engineering.

[4]  M. Ettorre,et al.  Generation of Propagating Bessel Beams Using Leaky-Wave Modes , 2012, IEEE Transactions on Antennas and Propagation.

[5]  S. Noghanian,et al.  Analysis of Incident Field Modeling and Incident/Scattered Field Calibration Techniques in Microwave Tomography , 2011, IEEE Antennas and Wireless Propagation Letters.

[6]  Amir H. Golnabi,et al.  Tomographic Microwave Imaging With Incorporated Prior Spatial Information , 2013, IEEE Transactions on Microwave Theory and Techniques.

[7]  Anthony Grbic,et al.  Near-Field Plates: Subdiffraction Focusing with Patterned Surfaces , 2008, Science.

[8]  Puyan Mojabi,et al.  A Mathematical Framework to Analyze the Achievable Resolution From Microwave Tomography , 2016, IEEE Transactions on Antennas and Propagation.

[9]  Dominique Lesselier,et al.  On the inverse source method of solving inverse scattering problems , 1994 .

[10]  P. Meaney,et al.  Image Registration for Microwave Tomography of the Breast Using Priors From Nonsimultaneous Previous Magnetic Resonance Images , 2018, IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology.

[11]  A. Willner,et al.  Experimental demonstration of obstruction-tolerant free-space transmission of two 50-Gbaud QPSK data channels using Bessel beams carrying orbital angular momentum , 2014, 2014 The European Conference on Optical Communication (ECOC).

[12]  Janse van Rensburg,et al.  Theory and Practice of Modern Antenna Range Measurements , 2014 .

[13]  Joe LoVetri,et al.  Breast cancer imaging using microwave tomography with radar-derived prior information , 2014, 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium).

[14]  J. LoVetri,et al.  Microwave Biomedical Imaging Using the Multiplicative Regularized Gauss--Newton Inversion , 2009, IEEE Antennas and Wireless Propagation Letters.

[15]  Jeremie Bourqui,et al.  Balanced Antipodal Vivaldi Antenna With Dielectric Director for Near-Field Microwave Imaging , 2010, IEEE Transactions on Antennas and Propagation.

[16]  Chiang Ching Shan Microwave Imaging , 1979, 1979 9th European Microwave Conference.

[17]  Gennaro G. Bellizzi,et al.  Advances in Target Conformal SAR Deposition for Hyperthermia Treatment Planning , 2018, 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC).

[18]  R. Bansal,et al.  Antenna theory; analysis and design , 1984, Proceedings of the IEEE.

[19]  M. Ettorre,et al.  Generation of Propagating Bessel Beams Using Leaky-Wave Modes: Experimental Validation , 2012, IEEE Transactions on Antennas and Propagation.

[20]  Keith D Paulsen,et al.  Pre-scaled two-parameter Gauss-Newton image reconstruction to reduce property recovery imbalance. , 2002, Physics in medicine and biology.

[21]  Amin M. Abbosh,et al.  Microwave System to Detect Traumatic Brain Injuries Using Compact Unidirectional Antenna and Wideband Transceiver With Verification on Realistic Head Phantom , 2014, IEEE Transactions on Microwave Theory and Techniques.

[22]  Lorenzo Crocco,et al.  Experimental Framework for Magnetic Nanoparticles Enhanced Breast Cancer Microwave Imaging , 2017, IEEE Access.

[23]  J. Lovetri,et al.  Overview and Classification of Some Regularization Techniques for the Gauss-Newton Inversion Method Applied to Inverse Scattering Problems , 2009, IEEE Transactions on Antennas and Propagation.

[24]  Paul M. Meaney,et al.  Enhancing breast tumor detection with near-field imaging , 2002 .

[25]  Tommaso Isernia,et al.  Electromagnetic inverse scattering: Retrievable information and measurement strategies , 1997 .

[26]  Aria Abubakar,et al.  A robust iterative method for Born inversion , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Gregory Boverman,et al.  Image registration for microwave tomography of the breast using priors from non-simultaneous previous magnetic resonance images , 2017, 2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC).

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

[29]  Z. Bouchal,et al.  Self-reconstruction of a distorted nondiffracting beam , 1998 .

[30]  Gennaro G. Bellizzi,et al.  Three-Dimensional Field Intensity Shaping: The Scalar Case , 2018, IEEE Antennas and Wireless Propagation Letters.

[31]  Puyan Mojabi,et al.  Inversion-Based Sensitivity Analysis of Snow-Covered Sea Ice Electromagnetic Profiles , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[32]  George V. Eleftheriades,et al.  Huygens' metasurfaces via the equivalence principle: design and applications , 2016 .

[33]  L. Shafai,et al.  A Multiplicative Regularized Gauss–Newton Inversion for Shape and Location Reconstruction , 2011, IEEE Transactions on Antennas and Propagation.

[34]  Andreas Fhager,et al.  Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible , 2014, IEEE Transactions on Biomedical Engineering.

[35]  Puyan Mojabi,et al.  Enhancement of Gauss–Newton Inversion Method for Biological Tissue Imaging , 2013, IEEE Transactions on Microwave Theory and Techniques.

[36]  Changqing Li,et al.  Ultrasound-guided microwave imaging of breast cancer: tissue phantom and pilot clinical experiments. , 2005, Medical physics.

[37]  Beatriz Monsalve,et al.  Less Becomes More for Microwave Imaging: Design and Validation of an Ultrawide-Band Measurement Array. , 2017, IEEE Antennas and Propagation Magazine.

[38]  Sima Noghanian,et al.  Introduction to Microwave Imaging , 2014 .

[39]  T. Isernia,et al.  Microwave Imaging via Distorted Iterated Virtual Experiments , 2017, IEEE Transactions on Antennas and Propagation.

[40]  Paul M. Meaney,et al.  Fast 3-D Tomographic Microwave Imaging for Breast Cancer Detection , 2012, IEEE Transactions on Medical Imaging.

[41]  A. Franchois,et al.  Full-Wave Three-Dimensional Microwave Imaging With a Regularized Gauss–Newton Method— Theory and Experiment , 2007, IEEE Transactions on Antennas and Propagation.

[42]  David R. Smith,et al.  Design and Analysis of a W-Band Metasurface-Based Computational Imaging System , 2017, IEEE Access.

[43]  Puyan Mojabi,et al.  THE EFFECT OF ANTENNA INCIDENT FIELD DISTRIBUTION ON MICROWAVE TOMOGRAPHY RECONSTRUCTION , 2014 .

[44]  Paul M. Meaney,et al.  Parallel-detection microwave spectroscopy system for breast imaging , 2004 .

[45]  P. M. Berg,et al.  A contrast source inversion method , 1997 .

[46]  Serguei Semenov,et al.  Electromagnetic Tomography for Detection, Differentiation, and Monitoring of Brain Stroke: A Virtual Data and Human Head Phantom Study. , 2017, IEEE Antennas and Propagation Magazine.

[47]  T. Isernia,et al.  A New Strategy to Constrained Focusing in Unknown Scenarios , 2012, IEEE Antennas and Wireless Propagation Letters.

[48]  Guangdong Pan,et al.  Application of the Multiplicative Regularized Gauss–Newton Algorithm for Three-Dimensional Microwave Imaging , 2012, IEEE Transactions on Antennas and Propagation.

[49]  Susan C. Hagness,et al.  High-Resolution Microwave Breast Imaging Using a 3-D Inverse Scattering Algorithm With a Variable-Strength Spatial Prior Constraint , 2015, IEEE Transactions on Antennas and Propagation.

[50]  Andrea Massa,et al.  Compressive Sensing as Applied to Inverse Problems for Imaging: Theory, Applications, Current Trends, and Open Challenges. , 2017, IEEE Antennas and Propagation Magazine.

[51]  J. Lovetri,et al.  Composite Tissue-Type and Probability Image for Ultrasound and Microwave Tomography , 2016, IEEE Journal on Multiscale and Multiphysics Computational Techniques.

[52]  P. M. Berg,et al.  Imaging of biomedical data using a multiplicative regularized contrast source inversion method , 2002 .