Beamspace time-reversal microwave imaging for breast cancer detection

Hossain, MD; Mohan, AS; Abedin, MJ

Beamspace time-reversal microwave imaging for breast cancer detection

Hossain, MD

Mohan, AS

Abedin, MJ

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Publication Type:: Journal Article
Citation:: IEEE Antennas and Wireless Propagation Letters, 2013, 12 pp. 241 - 244
Issue Date:: 2013-03-27

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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.contributor.author	Abedin, MJ	en_US
dc.date.issued	2013-03-27	en_US
dc.identifier.citation	IEEE Antennas and Wireless Propagation Letters, 2013, 12 pp. 241 - 244	en_US
dc.identifier.issn	1536-1225	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33200
dc.identifier.uri	http://hdl.handle.net/10453/26638
dc.description.abstract	We propose novel beamspace-DORT and beamspace-TR-MUSIC for microwave imaging to detect breast cancer. The proposed imaging methods employ beamspace transformation in the receiving mode of time reversal process prior to back propagation of recorded received signals. We investigate the effectiveness of the proposed imaging methods using anatomically realistic MRI-derived dense numerical breast phantoms. It is found that the proposed methods, especially the beamspace-TR-MUSIC, achieve improved focusing ability even in the presence of dense fibro glandular tissue clutter. © 2002-2011 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0773234
dc.relation.ispartof	IEEE Antennas and Wireless Propagation Letters	en_US
dc.relation.isbasedon	10.1109/LAWP.2013.2247018	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Beamspace time-reversal microwave imaging for breast cancer detection	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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.publication-status	Published	en_US
pubs.volume	12	en_US

Abstract:

We propose novel beamspace-DORT and beamspace-TR-MUSIC for microwave imaging to detect breast cancer. The proposed imaging methods employ beamspace transformation in the receiving mode of time reversal process prior to back propagation of recorded received signals. We investigate the effectiveness of the proposed imaging methods using anatomically realistic MRI-derived dense numerical breast phantoms. It is found that the proposed methods, especially the beamspace-TR-MUSIC, achieve improved focusing ability even in the presence of dense fibro glandular tissue clutter. © 2002-2011 IEEE.

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