• DocumentCode
    1947902
  • Title

    Dynamic segmentation of breast tissue in digitized mammograms

  • Author

    Neyhart, J.T. ; Ciocco, M.D. ; Polikar, R. ; Mandayam, S. ; Tseng, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2669
  • Abstract
    The percentage of radiodense tissue in a mammogram has been used as a marker for determining breast cancer risk. In this paper, we present an image segmentation technique for identifying tissue and non-tissue regions of a digitized X-ray image. This procedure constitutes a vital step prior to subsequent processing for estimating the amount of radiodense tissue. The process involves the generation of a segmentation mask developed by using discrete wavelet transform techniques. Initial results have been promising, demonstrating the feasibility of the approach.
  • Keywords
    biological tissues; cancer; discrete wavelet transforms; image segmentation; mammography; medical image processing; digitized X-ray image; discrete wavelet transform techniques; medical diagnostic imaging; nontissue regions; radiodense tissue amount estimation; segmentation mask generation; tissue regions; Breast cancer; Breast tissue; Cancer detection; Diagnostic radiography; Discrete wavelet transforms; Image converters; Image processing; Image segmentation; Mammography; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1017332
  • Filename
    1017332