• DocumentCode
    2385504
  • Title

    An improved wavefront reconstruction method for breast microwave imaging

  • Author

    Flores-Tapia, Daniel ; Thomas, Gabriel ; Pistorius, Stephen

  • Author_Institution
    Dept. of Med. Phys., CancerCare Manitoba, Winnipeg, MB, Canada
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    5725
  • Lastpage
    5728
  • Abstract
    Breast cancer is the leading cause of cancer related deaths in women between the ages of 15 and 54, and the second cause of cancer death in women the 55 to 74 age range. In recent years, Breast microwave imaging (BMI) has shown its potential as a promising breast cancer detection technique. This imaging technology is based on the electrical characteristic differences that exist between normal and malignant breast tissues at the microwave frequency range. A novel reconstruction approach for the formation of 2D BMI models is proposed in this paper. This technique uses the phase differences introduced during the collection of target responses in order to determine the correct spatial location of the different structures that constitute the final image. The proposed method yielded promising results when applied to simulated data sets obtained from magnetic resonance images (MRI).
  • Keywords
    bioelectric phenomena; cancer; image reconstruction; mammography; medical image processing; microwave imaging; tumours; 2D BMI model; age 15 yr to 54 yr; age 55 yr to 74 yr; breast cancer detection technique; breast microwave imaging; electrical characteristics; malignant breast tissues; wavefront reconstruction method; Algorithms; Breast Neoplasms; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Microwaves; Pattern Recognition, Automated; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity;
  • 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.2009.5333128
  • Filename
    5333128