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.
CITATION STYLE
Ayres, F. J., & Rangayyan, R. M. (2003). Characterization of Architectural Distortion in Mammograms. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 1, pp. 886–889). https://doi.org/10.1109/iembs.2003.1279907
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