• DocumentCode
    548959
  • Title

    Automatic registration of printed analog screen-film mammograms

  • Author

    Mustra, Mario ; Mileta, Danijel ; Grgic, Mislav

  • Author_Institution
    Fac. of EE & Comp, Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2011
  • fDate
    16-18 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Computer aided detection (CAD) in mammography relies on accurate image segmentation. If we consider using CAD on non-digital mammograms, one of the steps which need to be performed is scanning. After scanning, images have to be segmented and this is more complicated than segmentation of digital mammograms. In this paper we propose a method for automatic registration of printed and scanned mammograms. This process allows efficient manual segmentation which gives as accurate as possible results. To translate manual segmentation results performed by radiologists from paper to digital format, image needs to be registered. Manual image registration generally takes too much time and therefore is not as efficient as automatic. This paper considers automatic registration of scanned images using Hough transform. Accurate detection and alignment of marker lines on scanned images gives the correct angle of rotation, as well as translation and resizing coefficient.
  • Keywords
    Hough transforms; diagnostic radiography; image registration; image segmentation; mammography; medical image processing; CAD; Hough transform; automatic mammogram registration; computer aided detection; image segmentation; marker line alignment; marker line detection; nondigital mammograms; printed analog screen film mammograms; resizing coefficient; translation coefficient; Accuracy; Image registration; Image segmentation; Manuals; Pixel; Printing; Transforms; Computer Aided Detection; Hough Transform; Image Registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
  • Conference_Location
    Sarajevo
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-0074-3
  • Type

    conf

  • Filename
    5977364