• DocumentCode
    2415591
  • Title

    Mammogram enhancement using alpha weighted quadratic filter

  • Author

    Zhou, Yicong ; Panetta, Karen ; Agaian, Sos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3681
  • Lastpage
    3684
  • Abstract
    Mammograms are widely used to detect breast cancer in women. The quality of the image may suffer from poor resolution or low contrast due to the limitations of the X-ray hardware systems. Image enhancement is a powerful tool to improve the visual quality of mammograms. This paper introduces a new powerful nonlinear filter called the alpha weighted quadratic filter for mammogram enhancement. The user has the flexibility to design the filter by selecting all of the parameters manually or using an existing quantitative measure to select the optimal enhancement parameters. Computer simulations show that excellent enhancement results can be obtained with no apriori knowledge of the mammogram contents. The filter can also be used for automatic segmentation.
  • Keywords
    cancer; image enhancement; mammography; medical image processing; nonlinear filters; alpha weighted quadratic filter; automatic segmentation; breast cancer; mammogram enhancement; nonlinear filter; optimal enhancement parameters; Adult; Algorithms; Automatic Data Processing; Automation; Breast; Breast Neoplasms; Computer Simulation; Female; Humans; Image Processing, Computer-Assisted; Mammography; Models, Statistical; Reproducibility of Results; Software;
  • 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.2009.5334723
  • Filename
    5334723