Beamspace time reversal maximum likelihood estimation for microwave breast imaging

Hossain, MD; Mohan, AS

Beamspace time reversal maximum likelihood estimation for microwave breast imaging

Hossain, MD

Mohan, AS

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Publication Type:: Conference Proceeding
Citation:: IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 2014, pp. 1921 - 1922
Issue Date:: 2014-01-01

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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	2014-01-01	en_US
dc.identifier.citation	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 2014, pp. 1921 - 1922	en_US
dc.identifier.isbn	9781479935406	en_US
dc.identifier.issn	1522-3965	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33192
dc.description.abstract	© 2014 IEEE. We consider maximum likelihood based beamspace time reversal beamforming for breast cancer localization. We reduce the computational burden of maximum likelihood estimation through reduced dimensional beamspace processing. Beamspace processing also provides additional beamspace gain which contributes to suppress strong clutter effects. We collect multistatic scattering fields through FDTD simulation and further process it in beamspace for maximum likelihood based time reversal imaging. The imaging technique is used to localize a small tumor in a dense breast. It is observed that the proposed imaging technique can localize tumors unambiguously even in dense breast phantom.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0773234
dc.relation.ispartof	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)	en_US
dc.relation.isbasedon	10.1109/APS.2014.6905287	en_US
dc.title	Beamspace time reversal maximum likelihood estimation for microwave breast imaging	en_US
dc.type	Conference Proceeding
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	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. We consider maximum likelihood based beamspace time reversal beamforming for breast cancer localization. We reduce the computational burden of maximum likelihood estimation through reduced dimensional beamspace processing. Beamspace processing also provides additional beamspace gain which contributes to suppress strong clutter effects. We collect multistatic scattering fields through FDTD simulation and further process it in beamspace for maximum likelihood based time reversal imaging. The imaging technique is used to localize a small tumor in a dense breast. It is observed that the proposed imaging technique can localize tumors unambiguously even in dense breast phantom.

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http://hdl.handle.net/10453/33192