• DocumentCode
    505693
  • Title

    Nipple detection in craniocaudal digital mammograms

  • Author

    Mustra, Mario ; Bozek, Jelena ; Grgic, Mislav

  • Author_Institution
    Dept. of Wireless Commun., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    Digital mammography brought many changes in the development of computer aided detection (CAD) algorithms. Many preprocessing steps on mammograms are made automatically before the detection and diagnosis process begins. One of the very important steps is mammogram registration, which helps in finding asymmetrical regions in left and right breast. Mammogram registration is done by determining some key points of the breast. Key points are generally coordinates of the nipple and the pectoral muscle position. Nipple position can be detected using the algorithm presented in this paper. There are two possible nipple locations, outside and inside the skin-air interface. Each of these two cases has different intensity properties that should be taken into consideration when detecting the exact position.
  • Keywords
    biological organs; image registration; mammography; medical diagnostic computing; muscle; skin; asymmetrical regions; breast; computer aided detection algorithms; craniocaudal digital mammograms; mammogram registration; nipple detection; nipple position; pectoral muscle position; skin-air interface; Automatic testing; Breast; Change detection algorithms; Image segmentation; Mammography; Multiresolution analysis; Muscles; Mutual information; Pixel; Wireless communication; Digital mammography; Mammogram registration; Nipple detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2009. ELMAR '09. International Symposium
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-953-7044-10-7
  • Type

    conf

  • Filename
    5342871