• DocumentCode
    2718389
  • Title

    Characterization of architectural distortion in mammograms

  • Author

    Ayres, Fábio JosC ; Rangaraj Mandayam Rangayyan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
  • Volume
    1
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    886
  • Abstract
    We present a technique to characterize architectural distortion in mammograms based upon oriented texture analysis. The local texture orientation is computed for all pixels in a region of interest (ROI), thus obtaining the corresponding orientation field. The orientation fields are then analyzed using phase portraits. Six features are extracted from the phase portraits, and a quadratic discriminant classifier is used to classify the ROIs as a site of architectural distortion or other breast parenchymal pattern. The methods were tested with 37 ROIs: 15 with architectural distortion, eight with spiculated malignant tumors, two with malignant calcifications, and 12 with normal parenchymal patterns. The results obtained indicated a sensitivity of 80%, a specificity of 80%, and area under the receiver operating characteristics curve of 0.86.
  • Keywords
    cancer; feature extraction; image classification; image texture; mammography; medical image processing; tumours; architectural distortion; breast parenchymal pattern; feature extraction; malignant calcifications; mammograms; orientation field; oriented texture analysis; phase portraits; quadratic discriminant classifier; spiculated malignant tumors; Breast cancer; Cancer detection; Feature extraction; Lesions; Malignant tumors; Mammography; Phase distortion; Principal component analysis; Radiology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279907
  • Filename
    1279907