• DocumentCode
    385339
  • Title

    Detection of masses in digitised mammograms using dendronic image analysis

  • Author

    Nguyen, H.T. ; Mitchell, R.A. ; Thornton, B.S. ; Hung, W.T. ; Lee, W. ; Richard, Martin

  • Author_Institution
    Key Univ. Res. Strength in Health Technol., Univ. of Technol., Sydney, NSW, Australia
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1051
  • Abstract
    If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs. Using the spatial dendronic structure and hierarchical repartment operator, difficult cases of spiculated and stellate tumours can be identified early. The techniques are robust to noise and can reveal various layers of biophysical and biomedical differences in a suspect tumour. In particular, the hierarchical repartment parameter of a mass in a digital mammogram can be obtained using compactness ratios of successive information peeling in this mass. This parameter alone was applied to distinguish all biopsied masses from normal parenchymal tissues in eight separate cases.
  • Keywords
    feature extraction; image segmentation; mammography; medical image processing; neurophysiology; tumours; biomedical differences; biophysical differences; biopsied masses; breast cancer; compactness ratios; dendronic image analysis; digitised mammograms; hierarchical repartment operator; hierarchical repartment parameter; lower costs; mass detection; normal parenchymal tissues; patient outcomes; spatial dendronic structure; spiculated tumours; stellate tumours; successive information peeling; suspect tumour; Australia; Breast cancer; Cancer detection; Costs; Hospitals; Image analysis; Image segmentation; Lesions; Noise robustness; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1106271
  • Filename
    1106271