• DocumentCode
    3228173
  • Title

    Quantitative evaluation of a mammographic software phantom generator

  • Author

    Bliznakova, Kristina S. ; Pallikarakis, Nicolas E.

  • Author_Institution
    Dept. of Med. Phys., Univ. of Patras, Patras, Greece
  • fYear
    2009
  • fDate
    4-7 Nov. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an evaluation of an algorithm for generation of 3D breast software phantoms for mammography. For this purpose, thirty breast phantoms of different shape, size and composition and with no pathology included were generated. Mammographic images of these breast models were produced by simulating mammographic image acquisition. Quantitative texture analysis included calculation of fractal dimension, skewness, kurtosis, and power spectral analysis of simulated and real mammograms as well as comparison with similar calculations published in the literature. Calculated parameters from simulated images matched closely those calculated from real mammograms and published data. As such the mammographic software phantom generator can be used to create breast models suitable for carrying out feasibility studies in mammography.
  • Keywords
    biological organs; fractals; image texture; mammography; medical image processing; phantoms; spectral analysis; 3D breast software phantoms; fractal dimension; image acquisition; kurtosis; mammographic software phantom generator; mammography; power spectral analysis; skewness; texture analysis; Analytical models; Breast; Fractals; Image texture analysis; Imaging phantoms; Mammography; Pathology; Shape; Software algorithms; Spectral analysis; Breast software phantoms; evaluation; mammography simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4244-5379-5
  • Electronic_ISBN
    978-1-4244-5379-5
  • Type

    conf

  • DOI
    10.1109/ITAB.2009.5394406
  • Filename
    5394406