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8 March 2011Computer aided breast density evaluation in cone beam breast CT
Cone Beam Breast CT is a three-dimensional breast imaging modality with high contrast resolution and no tissue overlap.
With these advantages, it is possible to measure volumetric breast density accurately and quantitatively with CBBCT 3D
images. Three major breast components need to be segmented: skin, fat and glandular tissue. In this research, a modified
morphological processing is applied to the CBBCT images to detect and remove the skin of the breast. After the skin is
removed, a 2-step fuzzy clustering scheme is applied to the CBBCT image volume to adaptively cluster the image voxels
into fat and glandular tissue areas based on the intensity of each voxel. Finally, the CBBCT breast volume images are
divided into three categories: skin, fat and glands. Clinical data is used and the quantitative CBBCT breast density
evaluation results are compared with the mammogram-based BIRADS breast density categories.
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Xiaohua Zhang, Ruola Ning, "Computer aided breast density evaluation in cone beam breast CT," Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 796321 (8 March 2011); https://doi.org/10.1117/12.878487