3D microwave breast imaging based on multistatic radar concept system

Microwave imaging (MI) is one of the most promising and attractive new techniques for earlier breast-cancer detection. The microwave tomography (MT) realizes configuration of multistatic multiilumination system and reconstructs dielectric properties of the breast by solving a nonlinear inversion scattering problem. We describe below ETRI 3D MT system and 3D MI reconstruction program. Here we demonstrate also examples of image reconstruction using our MT system.

[1]  I. J. Craddock,et al.  Clinical trials of a multistatic UWB radar for breast imaging , 2011, 2011 Loughborough Antennas & Propagation Conference.

[2]  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.

[3]  J. D. Shea,et al.  Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique. , 2010, Medical physics.

[4]  P.M. van den Berg,et al.  Microwave-tomographic imaging of the high dielectric-contrast objects using different image-reconstruction approaches , 2005, IEEE Transactions on Microwave Theory and Techniques.

[5]  Andreas Fhager,et al.  Image Reconstruction in Microwave Tomography Using a Dielectric Debye Model , 2012, IEEE Transactions on Biomedical Engineering.

[6]  Puyan Mojabi,et al.  A Wideband Microwave Tomography System With a Novel Frequency Selection Procedure , 2010, IEEE Transactions on Biomedical Engineering.

[7]  Ki-Chang Nam,et al.  2D Image Construction from Low Resolution Response of a New Non‐invasive Measurement for Medical Application , 2005 .

[8]  K. Paulsen,et al.  Initial clinical experience with microwave breast imaging in women with normal mammography. , 2007, Academic radiology.

[9]  Q. Fang,et al.  Viable Three-Dimensional Medical Microwave Tomography: Theory and Numerical Experiments , 2010, IEEE Transactions on Antennas and Propagation.

[10]  Andrey Pavlovsky,et al.  Microwave tomography of extremities: 1. Dedicated 2D system and physiological signatures , 2011, Physics in medicine and biology.

[11]  Yifan Chen,et al.  Multiple-Input Multiple-Output Radar for Lesion Classification in Ultrawideband Breast Imaging , 2010, IEEE Journal of Selected Topics in Signal Processing.

[12]  Andrey Pavlovsky,et al.  Microwave tomography of extremities: 2. Functional fused imaging of flow reduction and simulated compartment syndrome , 2011, Physics in medicine and biology.

[13]  Weng Cho Chew,et al.  Study of resolution and super resolution in electromagnetic imaging for half-space problems , 2004 .

[14]  Barry D. Van Veen,et al.  Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast , 2008, IEEE Transactions on Biomedical Engineering.

[15]  B. Pogue,et al.  Microwave image reconstruction utilizing log-magnitude and unwrapped phase to improve high-contrast object recovery , 2001, IEEE Transactions on Medical Imaging.

[16]  K. Paulsen,et al.  Microwave image reconstruction of tissue property dispersion characteristics utilizing multiple-frequency information , 2004, IEEE Transactions on Microwave Theory and Techniques.

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

[18]  Soon-Ik Jeon,et al.  Preclinical Prototype Development of a Microwave Tomography System for Breast Cancer Detection , 2010 .

[19]  Keith D. Paulsen,et al.  A Broadband High-Frequency Electrical Impedance Tomography System for Breast Imaging , 2008, IEEE Transactions on Biomedical Engineering.

[20]  Jian Li,et al.  Multistatic Adaptive Microwave Imaging for Early Breast Cancer Detection , 2006, IEEE Transactions on Biomedical Engineering.

[21]  Joe LoVetri,et al.  A Novel Microwave Tomography System Based on the Scattering Probe Technique , 2012, IEEE Transactions on Instrumentation and Measurement.

[22]  Ian J Craddock,et al.  Microwave Radar-Based Differential Breast Cancer Imaging: Imaging in Homogeneous Breast Phantoms and Low Contrast Scenarios , 2010, IEEE Transactions on Antennas and Propagation.

[23]  Robert H. Svenson,et al.  Spatial resolution of microwave tomography for detection of myocardial ischemia and infarction-experimental study on two-dimensional models , 2000 .

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

[25]  Panagiotis Kosmas,et al.  Three-Dimensional Microwave Breast Imaging: Dispersive Dielectric Properties Estimation Using Patient-Specific Basis Functions , 2009, IEEE Transactions on Medical Imaging.

[26]  E.C. Fear,et al.  Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models , 2005, IEEE Transactions on Microwave Theory and Techniques.

[27]  Puyan Mojabi,et al.  On Super-Resolution With an Experimental Microwave Tomography System , 2010, IEEE Antennas and Wireless Propagation Letters.