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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2011 - 15


Challenges in the Design of Microwave Imaging Systems for Breast Cancer Detection

ZHURBENKO, V. See more information about ZHURBENKO, V. on SCOPUS See more information about ZHURBENKO, V. on IEEExplore See more information about ZHURBENKO, V. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (670 KB) | Citation | Downloads: 2,220 | Views: 3,227

Author keywords
biomedical imaging, medical diagnostic imaging, microwave imaging, microwave circuits, microwave antennas

References keywords
microwave(40), breast(27), imaging(21), detection(17), cancer(15), theory(7), tumor(5), tomography(5), techniques(5), system(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-02-27
Volume 11, Issue 1, Year 2011, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.01015
Web of Science Accession Number: 000288761800015
SCOPUS ID: 79955959583

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Among the various breast imaging modalities for breast cancer detection, microwave imaging is attractive due to the high contrast in dielectric properties between the cancerous and normal tissue. Due to this reason, this modality has received a significant interest and attention from the microwave community. This paper presents the survey of the ongoing research in the field of microwave imaging of biological tissues, with major focus on the breast tumor detection application. The existing microwave imaging systems are categorized on the basis of the employed measurement concepts. The advantages and disadvantages of the implemented imaging techniques are discussed. The fundamental tradeoffs between the various system requirements are indicated. Some strategies to overcome these limitations are outlined.

References | Cited By  «-- Click to see who has cited this paper

[1] K. D. Paulsen, P. M. Meaney, L. C. Gilman, Alternative Breast Imaging. Four Model-Based Approaches, Boston: Springer Science + Business Media, Inc., 2005.

[2] P. M. Meaney et al., A Clinical Prototype for Active Microwave Imaging of the Breast. IEEE Transactions on Microwave Theory and Techniques, November 2000, vol. 48, no. 11, pp. 1841-1853.
[CrossRef] [Web of Science Times Cited 470] [SCOPUS Times Cited 556]

[3] S. Y. Semenov et al., Microwave-Tomographic Imaging of the High Dielectric-Contrast Objects Using Different Image-Reconstruction Approaches, IEEE Transactions on Microwave Theory and Techniques, July 2005, vol. 53, no. 7, pp. 2284-2294.
[CrossRef] [Web of Science Times Cited 128] [SCOPUS Times Cited 144]

[4] E. C. Fear et al., Enhancing Breast Tumor Detection with Near-Field Imaging. IEEE Microwave Magazine, March 2002, vol. 3, issue 1, pp. 48-56.
[CrossRef] [Web of Science Times Cited 348] [SCOPUS Times Cited 469]

[5] E. C. Fear, M. A. Stuchly, Microwave Detection of Breast Cancer, IEEE Trans. on Microw. Theory and Tech., 2008, vol. 48, no. 11, pp. 1854-1863.
[CrossRef] [SCOPUS Times Cited 270]

[6] Y. Xie, B. Guo, J. Li, P. Stoica, Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection, Journal on Applied Signal Processing, 2006, vol. 2006, pp. 1-12.
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 37]

[7] P. Kosmas, C. M. Rappaport, Time Reversal with the FDTD Method for Microwave Breast Cancer Detection. IEEE Trans. on Microwave Theory and Techniques July 2005, vol. 53, no. 7, pp. 2317-2323.
[CrossRef] [Web of Science Times Cited 171] [SCOPUS Times Cited 205]

[8] V. Zhurbenko, T. Rubak, V. Krozer, and P. Meincke, Design and Realization of a Microwave Three-Dimensional Imaging System with Application to Breast-Cancer Detection, IET Microwaves, Antennas and Propagation, vol. 4, Issue 12, December 2010, pp.2200-2211.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 37]

[9] V. P. Zharov et al., Combined Interstitial Laser Therapy for Cancer Using Microwave Radiometric Sensor and RODEO MRI Feedback. 1. Microwave radiometry, Proc. of SPIE, July 2001, pp. 370-376.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]

[10] S. P. Poplack et al., Electromagnetic breast imaging: pilot results in women with abnormal mammography, Rad., 2007,v.243, pp.350-359.

[11] M. Klemm, I. Craddock, J. Leendertz, A. Preece , R. Benjamin, Experimental and Clinical Results of Breast Cancer Detection Using UWB Microwave Radar, IEEE AP-S International Symposium, 2008.
[CrossRef] [SCOPUS Times Cited 84]

[12] M. Stuchly, S. Stuchly, Dielectric Properties of Biological Substances - Tabulated, Journ. of Microw. Pow., 1980, vol. 15, no. 1, pp. 19-26.

[13] M. Lazebnik et al. Large-Scale Study of The Ultrawideband Microwave Dielectric Properties of Normal, Benign and Malignant Breast Tissues Obtained From Cancer Surgeries, Physics in Medicine and Biology, 2007, vol. 52, no. 20, pp. 6093-6115.
[CrossRef] [PubMed] [Web of Science Times Cited 724] [SCOPUS Times Cited 855]

[14] S. Poplack et al. Electromagnetic Breast Imaging: Average Tissue Property Values in Women With Negative Clinical Findings, Radiology, 2004, vol. 231, no. 2, pp. 571-580.
[CrossRef] [PubMed] [Web of Science Times Cited 87] [SCOPUS Times Cited 97]

[15] R. Tipa, O. Baltag, Microwave Thermography for Cancer Detection, Rom. Journ. Phys., 2006, vol. 51, Nos. 3-4, pp. 371 377.

[16] K. L. Carr, P. Cevasco, P. Dunlea, J. Shaeffer, Radiometric Sensing: An Adjuvant to Mammography to Determine Breast Biopsy. IEEE MTT-S Int. Microwave Symp. Dig. , 2007, vol. 2, pp. 929-932.
[CrossRef] [SCOPUS Times Cited 20]

[17] B. Stec, A. Dobrowolski, W. Susek, Estimation of Deep - seated Profile of Temperature Distribution inside Biological Tissues by Means of Multifrequency Microwave Thermograph. IEEE MTT-S Int. Microwave Symp. Dig., 2002, vol. 3, pp. 2261-2264.
[CrossRef] [Web of Science Times Cited 3]

[18] S. Y. Semenov et al. Three-Dimensional Microwave Tomography: Initial Experimental Imaging of Animals, IEEE Transactions on Biomedical Engineering, January 2002, vol. 49, no. 1, pp. 55-63.
[CrossRef] [PubMed] [Web of Science Times Cited 65] [SCOPUS Times Cited 79]

[19] G. Bindu, K. T. Mathew, Characterization of Benign and Malignant Breast Tissues Using 2-D Microwave Tomographic Imaging, Microwave and Optical Technology Letters, October 2007, vol. 49, no. 10, pp. 2340-2345.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 18]

[20] S. Y. Semenov et al., Three-Dimensional Microwave Tomography: Experimental Prototype of the System and Vector Born Reconstruction Method, IEEE Transactions on Biomedical Engineering, August 1999, vol. 46, no. 8, pp. 937-946.
[CrossRef] [PubMed] [Web of Science Times Cited 50] [SCOPUS Times Cited 65]

[21] D. Li et al., Parallel-detection Microwave Spectroscopy System for Breast Imaging, Rev. of Scient. Instr., July 2004, vol. 75, no. 7, pp. 2305-2313.
[CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 59]

[22] T. Gunnarsson et al., Quantitative Imaging Using a 2.45 GHz Planar Camera, 5th World Congr. on Ind. Proc. Tom., Norway, Sept., 2007.

[23] M. Pastorino, Recent Inversion Procedures for Microwave Imaging in Biomedical, Subsurface Detection and Nondestructive Evaluation Applications, Measurement, 2004, vol. 36, pp. 257-269.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 50]

[24] J. C. Bolomey, F. E. Gardiol, Engineering Applications of the Modulated Scatterer Technique, Artech House Publishers, 2001.

[25] O. M. Ramahi, M. H. Kermani, Transmission Line Resonators for Breast Tumor Detection. Antennas and Propagation Soc. Int. Symp. , 2005, vol. 3A, pp. 803-806.
[CrossRef] [SCOPUS Times Cited 4]

[26] J.M. Sill et al., T.C. Williams, E.C. Fear, R. Frayne, M. Okoniewski, Realistic Breast Models For Second Generation Tissue Sensing Adaptive Radar System. Proceedings of the Second European Conference on Antennas and Propagation, EuCAP 2007, pp. 1-4.

[27] R. Nilavalan, et al., Breast Cancer Tumour Detection Using Microwave Radar Techniques, URSI 2004 International Symposium on Electromagnetic Theory, 2004, vol. 1, pp. 117-119.

[28] I. J. Craddock et al., Evaluation of a Hemi-Spherical Wideband Antenna Array For Breast Cancer Imaging, Electromagnetic Theory Symposium, Ottawa, Canada, 2007.

[29] M. L. Trumbo, B. R. Jean, R. J. Marks, A New Modality for Microwave Tomographic Imaging: Transit Time Tomography

[30] W. C. Khor et al., An Ultra Wideband Microwave Imaging System for Breast Cancer Detection, IEICE Trans. Commun. , September 2007, vol. E90-B, no. 9, pp. 2376-2381.

[31] H. Wang, M. E. Bialkowski, F. Liu, S. Crozier, FDTD Investigations into UWB Radar Technique of Breast Tumor Detection and Location, Auswireless 2006 Conference Papers.

[32] X. Li et al., Experimental Investigation of Microwave Imaging via Space-Time Beamforming for Breast Cancer Detection, IEEE MTT-S Int. Microwave Symp. Dig. , 2003, vol. 1, pp. 379-382.

[33] X. Li et al., Microwave Imaging via Space-Time Beamforming: Experimental Investigation of Tumor Detection in Multilayer Breast Phantoms, IEEE Transactions on Microwave Theory and Techniques, August 2004., vol. 52, no. 8, pp. 1856-1865.
[CrossRef] [Web of Science Times Cited 207] [SCOPUS Times Cited 281]

[34] M. Miyakawa et al., Visualization of the Breast Tumor by the Integrated Use of CP-MCT and Chirp Pulse Microwave Breast Radar, 35th European Microwave Conf. , 2005, vol. 2, pp. 1043-1046.

[35] A. Sabouni et al., Hybrid Microwave Tomography Technique for Breast Cancer Imaging, Proc. of the 28th IEEE EMBS Annual Int. Conf., 2006, pp. 4273-4276.

[36] D. Pozar M. Microwave Engineering, 2nd ed., John Wiley, Inc., 1998.

[37] X. Wu, O. M. Romahi, Near-field Scanning Microwave Microscopy for Detection of Subsurface Biological Anomalies, Antennas and Propagation Soc. Int. Symp. , 2004, vol. 3, pp. 2444-2447.

[38] B. Guo et al., Multifrequency Microwave-Induced Thermal Acoustic Imaging for Breast Cancer Detection, IEEE Trans. on Biom. Engineering, Nov. 2007, vol. 54, no. 11, pp. 2000-2010.

[39] R.A. Kruger et al., Thermoacoustic CT, IEEE MTT-S Int. Microwave Symp. Dig., 2000, vol. 2, pp. 933-936.

[40] G. Ku, L. V. Wanga, Scanning Microwave-Induced Thermoacoustic Tomography: Signal, Resolution, and Contrast, Med. Phys., January 2001, vol. 28, issue 1, pp. 4-10.
[CrossRef] [PubMed] [Web of Science Times Cited 128] [SCOPUS Times Cited 149]

[41] H. Jiang, C. Li, D. Pearlstone, L. L. Fajardo, Ultrasound-Guided Microwave Imaging of Breast Cancer: Tissue Phantom and Pilot Clinical Experiments, Med. Phys. , August 2005, vol. 32, no. 8, pp. 2528-2535.
[CrossRef] [PubMed] [Web of Science Times Cited 37] [SCOPUS Times Cited 44]

References Weight

Web of Science® Citations for all references: 2,570 TCR
SCOPUS® Citations for all references: 3,530 TCR

Web of Science® Average Citations per reference: 63 ACR
SCOPUS® Average Citations per reference: 86 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-04-16 13:24 in 151 seconds.

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