Multiscale quantification of tissue spiculation and distortion for detection of architectural distortion and spiculated mass in mammography

Zhiqiang Lao; Xin Zheng

doi:10.1117/12.877330

8 March 2011 Multiscale quantification of tissue spiculation and distortion for detection of architectural distortion and spiculated mass in mammography

Zhiqiang Lao, Xin Zheng

Author Affiliations +

Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 79631J (2011) https://doi.org/10.1117/12.877330
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

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.

Citation Download Citation

Zhiqiang Lao and 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

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