Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information

Conventional radar-based image reconstruction techniques fail when they are applied to heterogeneous breast tissue, since the underlying in-breast relative permittivity is unknown or assumed to be constant. This results in a systematic error during the process of image formation. A recent trend in m...

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Main Authors: Jochen Moll, Thomas N. Kelly, Dallan Byrne, Mantalena Sarafianou, Viktor Krozer, Ian J. Craddock
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2014/943549
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spelling doaj-902b54219b9b44d7b1fa3924d34d4c822020-11-25T01:09:24ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962014-01-01201410.1155/2014/943549943549Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori InformationJochen Moll0Thomas N. Kelly1Dallan Byrne2Mantalena Sarafianou3Viktor Krozer4Ian J. Craddock5Department of Physics, Goethe University of Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, GermanyDepartment of Physics, Goethe University of Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, GermanyCentre of Communications and Research, University of Bristol, Bristol BS8 1UB, UKCentre of Communications and Research, University of Bristol, Bristol BS8 1UB, UKDepartment of Physics, Goethe University of Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, GermanyCentre of Communications and Research, University of Bristol, Bristol BS8 1UB, UKConventional radar-based image reconstruction techniques fail when they are applied to heterogeneous breast tissue, since the underlying in-breast relative permittivity is unknown or assumed to be constant. This results in a systematic error during the process of image formation. A recent trend in microwave biomedical imaging is to extract the relative permittivity from the object under test to improve the image reconstruction quality and thereby to enhance the diagnostic assessment. In this paper, we present a novel radar-based methodology for microwave breast cancer detection in heterogeneous breast tissue integrating a 3D map of relative permittivity as a priori information. This leads to a novel image reconstruction formulation where the delay-and-sum focusing takes place in time rather than range domain. Results are shown for a heterogeneous dense (class-4) and a scattered fibroglandular (class-2) numerical breast phantom using Bristol’s 31-element array configuration.http://dx.doi.org/10.1155/2014/943549
collection DOAJ
language English
format Article
sources DOAJ
author Jochen Moll
Thomas N. Kelly
Dallan Byrne
Mantalena Sarafianou
Viktor Krozer
Ian J. Craddock
spellingShingle Jochen Moll
Thomas N. Kelly
Dallan Byrne
Mantalena Sarafianou
Viktor Krozer
Ian J. Craddock
Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information
International Journal of Biomedical Imaging
author_facet Jochen Moll
Thomas N. Kelly
Dallan Byrne
Mantalena Sarafianou
Viktor Krozer
Ian J. Craddock
author_sort Jochen Moll
title Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information
title_short Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information
title_full Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information
title_fullStr Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information
title_full_unstemmed Microwave Radar Imaging of Heterogeneous Breast Tissue Integrating A Priori Information
title_sort microwave radar imaging of heterogeneous breast tissue integrating a priori information
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2014-01-01
description Conventional radar-based image reconstruction techniques fail when they are applied to heterogeneous breast tissue, since the underlying in-breast relative permittivity is unknown or assumed to be constant. This results in a systematic error during the process of image formation. A recent trend in microwave biomedical imaging is to extract the relative permittivity from the object under test to improve the image reconstruction quality and thereby to enhance the diagnostic assessment. In this paper, we present a novel radar-based methodology for microwave breast cancer detection in heterogeneous breast tissue integrating a 3D map of relative permittivity as a priori information. This leads to a novel image reconstruction formulation where the delay-and-sum focusing takes place in time rather than range domain. Results are shown for a heterogeneous dense (class-4) and a scattered fibroglandular (class-2) numerical breast phantom using Bristol’s 31-element array configuration.
url http://dx.doi.org/10.1155/2014/943549
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