Computer aided breast density evaluation in cone beam breast CT

Xiaohua Zhang; Ruola Ning

doi:10.1117/12.878487

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8 March 2011 Computer aided breast density evaluation in cone beam breast CT

Xiaohua Zhang; Ruola Ning

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Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 796321 (2011) https://doi.org/10.1117/12.878487
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

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 and 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

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