A comparison of data-independent microwave beamforming algorithms for the early detection of breast cancer

Dallan Byrne, Martin O'Halloran, Edward Jones, Martin Glavin

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

Ultrawideband (UWB) radar is one of the most promising alternatives to X-ray mammography as an imaging modality for the early detection of breast cancer. Several beamforming algorithms have been developed which exploit the dielectric contrast between normal and cancerous tissue at microwave frequencies in order to detect tumors. Dielectric heterogeneity within the breast greatly effects the ability of a beamformer to detect very small tumors, therefore the design of an effective beamformer for this application represents a significant challenge. This paper analyzes and compares 3 data-independent beamforming algorithms, testing each system on an anatomically correct, MRI derived breast model which incorporates recently-published data on dielectric properties.
Original languageEnglish
Title of host publication2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2731-2734
Number of pages4
ISBN (Electronic)978-1-4244-3296-7
DOIs
Publication statusPublished - 13 Nov 2009

Publication series

Name
ISSN (Print)1094-687X
ISSN (Electronic)1558-4615

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