Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model

Jochen Moll; Mantalena Sarafianou; Thomas N. Kelly; Viktor Krozer; Ian J. Craddock

doi:10.1109/EuCAP.2014.6902011

Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model

Jochen Moll^*, Mantalena Sarafianou, Thomas N. Kelly, Viktor Krozer, Ian J. Craddock

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

Many imaging algorithms for microwave breast cancer detection are limited by the assumption that the heterogeneity of the female breast is approximated by an effective permittivity during the reconstruction process. Since other modalities like ultrasound or MRI are used in conjunction with microwaves in recent years, it might be possible to estimate a complex 3D permittivity model that can be used within the reconstruction process as prior information. In this paper, we present a novel beamforming procedure for radar-based microwave breast cancer detection that incorporates a 3D-permittivity model. Hence, the reconstruction can take place in time domain on a piecewise basis rather than range domain. This approach is analyzed in this paper by means of a heterogeneous numerical breast phantom using Bristol's 31-element array configuration.

Original language	English
Title of host publication	8th European Conference on Antennas and Propagation, EuCAP 2014
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1288-1291
Number of pages	4
ISBN (Print)	9788890701849
DOIs	https://doi.org/10.1109/EuCAP.2014.6902011
Publication status	Published - 1 Jan 2014
Event	8th European Conference on Antennas and Propagation, EuCAP 2014 - The Hague, United Kingdom Duration: 6 Apr 2014 → 11 Apr 2014

Conference

Conference	8th European Conference on Antennas and Propagation, EuCAP 2014
Country	United Kingdom
City	The Hague
Period	6/04/14 → 11/04/14

Structured keywords

Digital Health

Keywords

Breast Cancer Detection
FDTD
Microwave Imaging
Multistatic Radar System
Signal Focusing

Access to Document

10.1109/EuCAP.2014.6902011

Link to publication in Scopus

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1 Finished

SPHERE (EPSRC IRC)
Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Damen, D., Gooberman-Hill, R. J. S., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.
1/10/13 → 30/09/18
Project: Research, Parent

Cite this

@inproceedings{a8652163029a44c2834148e6c27c42c6,

title = "Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model",

abstract = "Many imaging algorithms for microwave breast cancer detection are limited by the assumption that the heterogeneity of the female breast is approximated by an effective permittivity during the reconstruction process. Since other modalities like ultrasound or MRI are used in conjunction with microwaves in recent years, it might be possible to estimate a complex 3D permittivity model that can be used within the reconstruction process as prior information. In this paper, we present a novel beamforming procedure for radar-based microwave breast cancer detection that incorporates a 3D-permittivity model. Hence, the reconstruction can take place in time domain on a piecewise basis rather than range domain. This approach is analyzed in this paper by means of a heterogeneous numerical breast phantom using Bristol's 31-element array configuration.",

keywords = "Breast Cancer Detection, FDTD, Microwave Imaging, Multistatic Radar System, Signal Focusing",

author = "Jochen Moll and Mantalena Sarafianou and Kelly, {Thomas N.} and Viktor Krozer and Craddock, {Ian J.}",

year = "2014",

month = jan,

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doi = "10.1109/EuCAP.2014.6902011",

language = "English",

isbn = "9788890701849",

pages = "1288--1291",

booktitle = "8th European Conference on Antennas and Propagation, EuCAP 2014",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "8th European Conference on Antennas and Propagation, EuCAP 2014 ; Conference date: 06-04-2014 Through 11-04-2014",

}

Moll, J, Sarafianou, M, Kelly, TN, Krozer, V & Craddock, IJ 2014, Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model. in 8th European Conference on Antennas and Propagation, EuCAP 2014., 6902011, Institute of Electrical and Electronics Engineers (IEEE), pp. 1288-1291, 8th European Conference on Antennas and Propagation, EuCAP 2014, The Hague, United Kingdom, 6/04/14. https://doi.org/10.1109/EuCAP.2014.6902011

Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model. / Moll, Jochen; Sarafianou, Mantalena; Kelly, Thomas N.; Krozer, Viktor; Craddock, Ian J.

8th European Conference on Antennas and Propagation, EuCAP 2014. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1288-1291 6902011.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model

AU - Moll, Jochen

AU - Sarafianou, Mantalena

AU - Kelly, Thomas N.

AU - Krozer, Viktor

AU - Craddock, Ian J.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Many imaging algorithms for microwave breast cancer detection are limited by the assumption that the heterogeneity of the female breast is approximated by an effective permittivity during the reconstruction process. Since other modalities like ultrasound or MRI are used in conjunction with microwaves in recent years, it might be possible to estimate a complex 3D permittivity model that can be used within the reconstruction process as prior information. In this paper, we present a novel beamforming procedure for radar-based microwave breast cancer detection that incorporates a 3D-permittivity model. Hence, the reconstruction can take place in time domain on a piecewise basis rather than range domain. This approach is analyzed in this paper by means of a heterogeneous numerical breast phantom using Bristol's 31-element array configuration.

AB - Many imaging algorithms for microwave breast cancer detection are limited by the assumption that the heterogeneity of the female breast is approximated by an effective permittivity during the reconstruction process. Since other modalities like ultrasound or MRI are used in conjunction with microwaves in recent years, it might be possible to estimate a complex 3D permittivity model that can be used within the reconstruction process as prior information. In this paper, we present a novel beamforming procedure for radar-based microwave breast cancer detection that incorporates a 3D-permittivity model. Hence, the reconstruction can take place in time domain on a piecewise basis rather than range domain. This approach is analyzed in this paper by means of a heterogeneous numerical breast phantom using Bristol's 31-element array configuration.

KW - Breast Cancer Detection

KW - FDTD

KW - Microwave Imaging

KW - Multistatic Radar System

KW - Signal Focusing

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M3 - Conference Contribution (Conference Proceeding)

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BT - 8th European Conference on Antennas and Propagation, EuCAP 2014

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Y2 - 6 April 2014 through 11 April 2014

ER -

Radar-based tumor localization in heterogeneous breast tissue using a 3D permittivity model

Abstract

Conference

Structured keywords

Keywords

Access to Document

SPHERE (EPSRC IRC)

Cite this