3-D microwave imaging of breast tumors with matched-filtering

E. A. Oral*, A. V. Sahakian

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Matched-filtering is applied to an algorithm similar to confocal microwave imaging of the breast in order to better detect tumors in a 3-D FDTD model. Strongly scattering objects detected by the imaging algorithm are examined for tumor existence through matched-filtering. Based on the matched-filtering examination, early-time clutter is well suppressed by this method. Also, an antenna-array with a spatial resolution of 8.3 mm is shown to be effective in reducing the clutter level for the successful detection of a 5-mm-diameter spherical tumor.

Original languageEnglish (US)
Pages (from-to)1423-1426
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 II
StatePublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Keywords

  • Breast cancer detection
  • FDTD
  • Matched-filter
  • Microwave imaging

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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