TY  - JOUR
A1  - Moll, Jochen
A1  - Kelly, Thomas N.
A1  - Byrne, Dallan
A1  - Sarafianou, Mantalena
A1  - Krozer, Viktor
A1  - Craddock, Ian J.
T1  - Microwave radar imaging of heterogeneous breast tissue integrating a priori information
T2  - International journal of biomedical imaging
N2  - 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.
Y1  - 2014
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/37368
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-373687
SN  - 1687-4196
SN  - 1687-4188
N1  - Copyright © 2014 Jochen Moll et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
VL  - 2014
IS  - Article ID 943549
PB  - [S.l.]
CY  - Hindawi Publishing Corporation
ER  -