Electromagnetic inversion for biomedical imaging, antenna characterization, and sea ice remote sensing applications

This paper focuses on the use of electromagnetic inverse scattering and inverse source algorithms, collectively referred to as electromagnetic inversion algorithms, for three application areas: microwave biomedical imaging, near-field antenna measurements and characterization, and sea ice remote sensing. We discuss the benefits of using the electromagnetic inversion framework, e.g., its quantitative accuracy and resolution as well as its systematic treatment of the available data, and also consider the challenges associated with the use of this framework, e.g., the use of appropriate numerical modelling and inversion algorithms.

[1]  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.

[2]  Puyan Mojabi,et al.  Nonlinear Inversion of Microwave Scattering Data for Snow-Covered Sea-Ice Dielectric Profile Reconstruction , 2015, IEEE Geoscience and Remote Sensing Letters.

[3]  Puyan Mojabi,et al.  Multiplicatively Regularized Source Reconstruction Method for Phaseless Planar Near-Field Antenna Measurements , 2017, IEEE Transactions on Antennas and Propagation.

[4]  David Isaacson,et al.  Forward electromagnetic scattering models for sea ice , 1998, IEEE Trans. Geosci. Remote. Sens..

[5]  Puyan Mojabi,et al.  Retrieval of Young Snow-Covered Sea-Ice Temperature and Salinity Evolution Through Radar Cross-Section Inversion , 2016, IEEE Journal of Oceanic Engineering.

[6]  W. Chew,et al.  A step-frequency radar imaging system for microwave nondestructive evaluation , 2000 .

[7]  T. Isernia,et al.  Synthesis of new variable dielectric profile antennas via inverse scattering techniques: a feasibility study , 2005, IEEE Transactions on Antennas and Propagation.

[8]  Puyan Mojabi,et al.  A pendulum-based planar near-field antenna measurement system , 2016, 2016 IEEE International Symposium on Antennas and Propagation (APSURSI).

[9]  K. Paulsen,et al.  Nonlinear Microwave Imaging for Breast-Cancer Screening Using Gauss–Newton's Method and the CGLS Inversion Algorithm , 2007, IEEE Transactions on Antennas and Propagation.

[10]  J. LoVetri,et al.  Estimation and Use of Prior Information in FEM-CSI for Biomedical Microwave Tomography , 2012, IEEE Antennas and Wireless Propagation Letters.

[11]  Aria Abubakar,et al.  2.5D forward and inverse modeling for interpreting low-frequency electromagnetic measurements , 2008 .

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

[13]  Mahta Moghaddam,et al.  Radar Retrieval of Surface and Deep Soil Moisture and Effect of Moisture Profile on Inversion Accuracy , 2011, IEEE Geoscience and Remote Sensing Letters.

[14]  L. Shafai,et al.  Microwave tomography techniques and algorithms: A review , 2012, 2012 15 International Symposium on Antenna Technology and Applied Electromagnetics.

[15]  Weng Cho Chew,et al.  Study of resolution and super resolution in electromagnetic imaging for half-space problems , 2004, IEEE Transactions on Antennas and Propagation.

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

[17]  Joe LoVetri,et al.  Breast Imaging Using Microwave Tomography with Radar-Based Tissue-Regions Estimation , 2014 .

[18]  Jennifer J. Gibson,et al.  Electromagnetic breast imaging: results of a pilot study in women with abnormal mammograms. , 2007, Radiology.

[19]  Yahya Rahmat-Samii,et al.  Resilience to Probe-Positioning Errors in Planar Phaseless Near-Field Measurements , 2010, IEEE Transactions on Antennas and Propagation.

[20]  Paul M. Meaney,et al.  Three-dimensional microwave imaging with incorporated prior structural information , 2012, Medical Imaging.

[21]  Puyan Mojabi,et al.  Landfast First-Year Snow-Covered Sea Ice Reconstruction via Electromagnetic Inversion , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[23]  Puyan Mojabi,et al.  Using the Source Reconstruction Method to Model Incident Fields in Microwave Tomography , 2017, IEEE Antennas and Wireless Propagation Letters.

[24]  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.

[25]  T. Isernia,et al.  Inverse scattering with real data: detecting and imaging homogeneous dielectric objects , 2001 .

[26]  Joe LoVetri,et al.  Grain bin monitoring via electromagnetic imaging , 2015, Comput. Electron. Agric..

[27]  J. Lovetri,et al.  A Novel Microwave Tomography System Using a Rotatable Conductive Enclosure , 2011, IEEE Transactions on Antennas and Propagation.

[28]  Tapan K. Sarkar,et al.  An Improved Super-Resolution Source Reconstruction Method , 2009, IEEE Transactions on Instrumentation and Measurement.

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