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
Link To Document :
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