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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Two-Step Method for Detection of Architectural Distortions in Mammograms
verfasst von : Magdalena Jasionowska, Artur Przelaskowski, Aleksandra Rutczynska, Anna Wroblewska
Erschienen in: Information Technologies in Biomedicine
Verlag: Springer Berlin Heidelberg
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Early detection of breast cancer is very important. It increases breast cancer treatment and reduces mortality rates by 30 - 70%. Architectural distortion (AD) is one of the commonly missed signs of breast cancer. It is estimated that 12 - 45% of missed breast cancer in mammography are ADs. Our ultimate goal is to develop a CAD module through creating of ADs detection method (
ArDist method
). We rely on fact that AD is a group of line structures of different orientation. The
ArDist method
consists of two stages: detection of ROI with potential ADs based on analysis with Gabor filters (
GF method
) and recognition of ADs using 2D Fourier transform in polar coordinates (
DD method
). The method was tested with 33 mammograms containing ADs, from the database
DDSM
. Experimental results are promising in comparison with the results of the model method and the efficiency of commercial CAD systems. The sensitivity of
ArDist method
amounts to 68% with 0.86 false positives per image.