DocumentCode
2389745
Title
A comparison of data-independent microwave beamforming algorithms for the early detection of breast cancer
Author
Byrne, Dallan ; O´Halloran, Martin ; Jones, Edward ; Glavin, Martin
Author_Institution
Bioelectronics Res. Cluster, Nat. Univ. of Ireland, Galway, Ireland
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
2731
Lastpage
2734
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.
Keywords
biological tissues; biology computing; biomedical MRI; cancer; diagnostic radiography; hyperthermia; mammography; microwave heating; MRI derived breast model; X-ray mammography; breast cancer; cancerous tissue; data-independent beamforming algorithms; data-independent microwave beamforming algorithms; dielectric contrast; dielectric heterogeneity; effective beamformer; imaging modality; microwave frequency; ultrawideband radar; Algorithms; Breast Neoplasms; Computer Simulation; Diagnostic Imaging; Early Detection of Cancer; Equipment Design; Female; Humans; Magnetic Resonance Imaging; Microscopy, Confocal; Microwaves; Models, Statistical; Scattering, Radiation; Tissue Distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5333344
Filename
5333344
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