Coherent time-reversal microwave imaging for the detection and localization of breast tissue malignancies

Hossain, MD; Mohan, AS

Coherent time-reversal microwave imaging for the detection and localization of breast tissue malignancies

Hossain, MD

Mohan, AS

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Publication Type:: Journal Article
Citation:: Radio Science, 2015, 50 (2), pp. 87 - 98
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Hossain, MD https://orcid.org/0000-0002-8162-686X	en_US
dc.contributor.author	Mohan, AS https://orcid.org/0000-0002-4503-5851	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Radio Science, 2015, 50 (2), pp. 87 - 98	en_US
dc.identifier.issn	0048-6604	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33186
dc.description.abstract	©2014. American Geophysical Union. All Rights Reserved. This paper deals with the coherent processing of time-reversal operator for microwave imaging in the frequency domain. In frequency domain time-reversal imaging approach, images obtained for different frequency bins over ultrawideband are incoherently processed. In highly dense and cluttered medium, the signal subspace over each narrow frequency bin varies from that obtained using the complete ultrawideband. As a result, the detection and localization from noncoherent imaging approach is often inconclusive. In order to improve the stability of time-reversal microwave imaging, we propose coherent processing using novel focusing matrix approach. The proposed focusing matrix makes possible the time-reversal imaging technique to coherently process each frequency bin to yield a consistent signal subspace. The performance of coherent focusing is investigated when combined with time-reversal robust Capon beamformer (TR-RCB). We have used numerical experiments on breast cancer detection using finite difference time domain employing anatomically realistic numerical breast phantoms that contain varying amounts of dense fibroglandular tissue content. The imaging results indicate that the proposed coherent-TR-RCB could overcome the limitations of time-reversal imaging in a highly heterogeneous and cluttered medium.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0773234
dc.relation.ispartof	Radio Science	en_US
dc.relation.isbasedon	10.1002/2014RS005553	en_US
dc.subject.classification	Meteorology & Atmospheric Sciences	en_US
dc.title	Coherent time-reversal microwave imaging for the detection and localization of breast tissue malignancies	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	50	en_US
utslib.for	0903 Biomedical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	50	en_US

Abstract:

©2014. American Geophysical Union. All Rights Reserved. This paper deals with the coherent processing of time-reversal operator for microwave imaging in the frequency domain. In frequency domain time-reversal imaging approach, images obtained for different frequency bins over ultrawideband are incoherently processed. In highly dense and cluttered medium, the signal subspace over each narrow frequency bin varies from that obtained using the complete ultrawideband. As a result, the detection and localization from noncoherent imaging approach is often inconclusive. In order to improve the stability of time-reversal microwave imaging, we propose coherent processing using novel focusing matrix approach. The proposed focusing matrix makes possible the time-reversal imaging technique to coherently process each frequency bin to yield a consistent signal subspace. The performance of coherent focusing is investigated when combined with time-reversal robust Capon beamformer (TR-RCB). We have used numerical experiments on breast cancer detection using finite difference time domain employing anatomically realistic numerical breast phantoms that contain varying amounts of dense fibroglandular tissue content. The imaging results indicate that the proposed coherent-TR-RCB could overcome the limitations of time-reversal imaging in a highly heterogeneous and cluttered medium.

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http://hdl.handle.net/10453/33186