Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast

Computational electromagnetics models of microwave interactions with the human breast serve as an invaluable tool for exploring the feasibility of new technologies and improving design concepts related to microwave breast cancer detection and treatment. In this paper, we report the development of a collection of anatomically realistic 3-D numerical breast phantoms of varying shape, size, and radiographic density which can readily be used in finite-difference time-domain computational electromagnetics models. The phantoms are derived from T1-weighted MRIs of prone patients. Each MRI is transformed into a uniform grid of dielectric properties using several steps. First, the structure of each phantom is identified by applying image processing techniques to the MRI. Next, the voxel intensities of the MRI are converted to frequency-dependent and tissue-dependent dielectric properties of normal breast tissues via a piecewise-linear map. The dielectric properties of normal breast tissue are taken from the recently completed large-scale experimental study of normal breast tissue dielectric properties conducted by the Universities of Wisconsin and Calgary. The comprehensive collection of numerical phantoms is made available to the scientific community through an online repository.

[1]  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.

[2]  Ahmed Mamouni,et al.  Microwave radiometric imaging at 3 GHz for the exploration of breast tumors , 1990 .

[3]  Alan J. Fenn,et al.  Focused Microwave Phased Array Thermotherapy for Ablation of Early-Stage Breast Cancer: Results of Thermal Dose Escalation , 2004, Annals of Surgical Oncology.

[4]  Barry D. Van Veen,et al.  Breast Tumor Characterization Based on Ultrawideband Microwave Backscatter , 2008, IEEE Transactions on Biomedical Engineering.

[5]  R. Redner,et al.  Mixture densities, maximum likelihood, and the EM algorithm , 1984 .

[6]  R. W. Lau,et al.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. , 1996, Physics in medicine and biology.

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

[8]  M. Okoniewski,et al.  Confocal microwave imaging for breast tumor detection: application to a hemispherical breast model , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

[9]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Paul R Stauffer,et al.  Can we settle with single-band radiometric temperature monitoring during hyperthermia treatment of chestwall recurrence of breast cancer using a dual-mode transceiving applicator? , 2007, Physics in medicine and biology.

[11]  E. Fear Microwave Imaging of the Breast , 2005, Technology in cancer research & treatment.

[12]  L. Liberman,et al.  Breast imaging reporting and data system (BI-RADS). , 2002, Radiologic clinics of North America.

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

[14]  A J Fenn,et al.  An adaptive microwave phased array for targeted heating of deep tumours in intact breast: animal study results. , 1999, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[15]  M. Okoniewski,et al.  Highly Accurate Debye Models for Normal and Malignant Breast Tissue Dielectric Properties at Microwave Frequencies , 2007, IEEE Microwave and Wireless Components Letters.

[16]  M E Read,et al.  Breast skin thickness: normal range and causes of thickening shown on film-screen mammography. , 1984, Journal of the Canadian Association of Radiologists.

[17]  A. Taflove,et al.  Two-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: fixed-focus and antenna-array sensors , 1998, IEEE Transactions on Biomedical Engineering.

[18]  P. Kosmas,et al.  FDTD-based time reversal for microwave breast cancer Detection-localization in three dimensions , 2006, IEEE Transactions on Microwave Theory and Techniques.

[19]  M. Lindstrom,et al.  A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries , 2007, Physics in medicine and biology.

[20]  B. D. Veen,et al.  A computational study of ultra-wideband versus narrowband microwave hyperthermia for breast cancer treatment , 2006, IEEE transactions on microwave theory and techniques.

[21]  Emanuele Trucco,et al.  Computer and Robot Vision , 1995 .

[22]  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.

[23]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[24]  Michael Elsdon,et al.  Experimental investigation of breast tumor imaging using indirect microwave holography , 2006 .

[25]  B.D. Van Veen,et al.  Estimation of the Frequency-Dependent Average Dielectric Properties of Breast Tissue Using a Time-Domain Inverse Scattering Technique , 2006, IEEE Transactions on Antennas and Propagation.

[26]  Magda El-Shenawee,et al.  Numerical assessment of multifrequency microwave radiometry for sensing malignant breast cancer tumors , 2003 .

[27]  Qing Huo Liu,et al.  Three-dimensional nonlinear image reconstruction for microwave biomedical imaging , 2004, IEEE Transactions on Biomedical Engineering.

[28]  A. Aisen,et al.  Thermoacoustic CT with radio waves: a medical imaging paradigm. , 1999, Radiology.

[29]  B.D. Van Veen,et al.  Ultrawide-band microwave space-time beamforming for hyperthermia treatment of breast cancer: a computational feasibility study , 2004, IEEE Transactions on Microwave Theory and Techniques.

[30]  Andreas Fhager,et al.  Reconstruction Quality and Spectral Content of an Electromagnetic Time-Domain Inversion Algorithm , 2006, IEEE Transactions on Biomedical Engineering.

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

[32]  Minghua Xu,et al.  Thermoacoustic and Photoacoustic Tomography of Thick Biological Tissues toward Breast Imaging , 2005, Technology in cancer research & treatment.

[33]  Susan C. Hagness,et al.  Safety assessment of breast cancer detection via ultrawideband microwave radar operating in pulsed‐radiation mode , 2007 .

[34]  B.D. Van Veen,et al.  An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection , 2005, IEEE Antennas and Propagation Magazine.

[35]  Fernando Bardati,et al.  Modeling the Visibility of Breast Malignancy by a Microwave Radiometer , 2008, IEEE Transactions on Biomedical Engineering.

[36]  M. Lindstrom,et al.  A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries , 2007, Physics in medicine and biology.

[37]  Allen Taflove,et al.  Computational Electrodynamics the Finite-Difference Time-Domain Method , 1995 .

[38]  Barry D. Van Veen,et al.  Ultrawideband microwave breast cancer detection: a detection-theoretic approach using the generalized likelihood ratio test , 2005, IEEE Transactions on Biomedical Engineering.

[39]  Jian Li,et al.  Time Reversal Based Microwave Hyperthermia Treatment of Breast Cancer , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[40]  R. Kruger,et al.  Breast cancer in vivo: contrast enhancement with thermoacoustic CT at 434 MHz-feasibility study. , 2000, Radiology.

[41]  Alan J. Fenn,et al.  Focused microwave phased array thermotherapy for primary breast cancer , 2002, Annals of Surgical Oncology.

[42]  B. Bocquet,et al.  Microwave radiometric imaging (MWI) for the characterisation of breast tumours , 2000 .