• DocumentCode
    2074797
  • Title

    Mammographic Lesions Discrimination Based on Fractal Dimension as an Indicator

  • Author

    Crisan, Daniela Alexandra ; Dobrescu, Radu ; Planinsic, Peter

  • Author_Institution
    Romanian-American Univ., Bucharest
  • fYear
    2007
  • fDate
    27-30 June 2007
  • Firstpage
    74
  • Lastpage
    77
  • Abstract
    In this paper it is investigated how fractal properties can be used to characterize a mammographic lesion. The idea is suggested by the similarity between the breast tissue and a synthetically generated fractal image. Fractals are pertinent tools to describe the complexity of a shape; meanwhile, radiologists use the complexity of the lesion´s contour to classify the abnormality. Tests on 30 cases mammographic lesions shows that fractal dimension of the lesion´s contour is higher in cancer cases and lower in benign cases. This could be an important observation in order to classify BI-RADS 4 lesions, with no need of further examination (biopsy).
  • Keywords
    fractals; mammography; medical image processing; biopsy; box-counting algorithm; fractal dimension; image processing; mammographic lesions discrimination; Biomedical imaging; Breast cancer; Breast tissue; Extraterrestrial measurements; Fractals; Image processing; Lesions; Medical diagnostic imaging; Shape; Size measurement; CADM; box-counting algorithm; fractal; fractal dimension; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
  • Conference_Location
    Maribor
  • Print_ISBN
    978-961-248-029-5
  • Electronic_ISBN
    978-961-248-029-5
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2007.4381156
  • Filename
    4381156