• 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