Breast cancer detection in highly dense numerical breast phantoms using time reversal

Hossain, MD; Mohan, AS

Breast cancer detection in highly dense numerical breast phantoms using time reversal

Hossain, MD

Mohan, AS

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2013 International Conference on Electromagnetics in Advanced Applications, ICEAA 2013, 2013, pp. 859 - 862
Issue Date:: 2013-12-02

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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	2013-12-02	en_US
dc.identifier.citation	Proceedings of the 2013 International Conference on Electromagnetics in Advanced Applications, ICEAA 2013, 2013, pp. 859 - 862	en_US
dc.identifier.isbn	9781467357074	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33199
dc.description.abstract	In this paper we investigate the detection of breast cancer using two-dimensional slices of realistic numerical phantoms employing time reversal microwave imaging. We used maximum-likelihood estimation coupled with time reversal technique to detect and estimate the location of tumor using FDTD based breast phantoms that contain dense fibroglandular tissue clutter. We show that time reversal maximum-likelihood estimation can detect and accurately localize tumors even in highly dense breasts where the dielectric contrast between healthy dense breast tissue and cancerous lesions is quite low without requiring any contrast enhancing agents. © 2013 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0773234
dc.relation.ispartof	Proceedings of the 2013 International Conference on Electromagnetics in Advanced Applications, ICEAA 2013	en_US
dc.relation.isbasedon	10.1109/ICEAA.2013.6632359	en_US
dc.title	Breast cancer detection in highly dense numerical breast phantoms using time reversal	en_US
dc.type	Conference Proceeding
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:

In this paper we investigate the detection of breast cancer using two-dimensional slices of realistic numerical phantoms employing time reversal microwave imaging. We used maximum-likelihood estimation coupled with time reversal technique to detect and estimate the location of tumor using FDTD based breast phantoms that contain dense fibroglandular tissue clutter. We show that time reversal maximum-likelihood estimation can detect and accurately localize tumors even in highly dense breasts where the dielectric contrast between healthy dense breast tissue and cancerous lesions is quite low without requiring any contrast enhancing agents. © 2013 IEEE.

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http://hdl.handle.net/10453/33199