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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Online Access: | http://dx.doi.org/10.1155/2014/943549 |
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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 |
work_keys_str_mv |
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