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8 March 2011Multiscale quantification of tissue spiculation and distortion for detection of architectural distortion and spiculated mass in mammography
This paper proposes a multiscale method to quantify tissue spiculation and distortion in mammography CAD systems
that aims at improving the sensitivity in detecting architectural distortion and spiculated mass. This approach addresses
the difficulty of predetermining the neighborhood size for feature extraction in characterizing lesions demonstrating
spiculated mass/architectural distortion that may appear in different sizes. The quantification is based on the recognition
of tissue spiculation and distortion pattern using multiscale first-order phase portrait model in texture orientation field
generated by Gabor filter bank. A feature map is generated based on the multiscale quantification for each mammogram
and two features are then extracted from the feature map. These two features will be combined with other mass features
to provide enhanced discriminate ability in detecting lesions demonstrating spiculated mass and architectural distortion.
The efficiency and efficacy of the proposed method are demonstrated with results obtained by applying the method to
over 500 cancer cases and over 1000 normal cases.
Zhiqiang Lao andXin Zheng
"Multiscale quantification of tissue spiculation and distortion for detection of architectural distortion and spiculated mass in mammography", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79631J (8 March 2011); https://doi.org/10.1117/12.877330
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Zhiqiang Lao, Xin Zheng, "Multiscale quantification of tissue spiculation and distortion for detection of architectural distortion and spiculated mass in mammography," Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79631J (8 March 2011); https://doi.org/10.1117/12.877330