Paper
13 March 2009 Computerized 3D breast phantom with enhanced high-resolution detail
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72580S (2009) https://doi.org/10.1117/12.813529
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
We previously proposed a three-dimensional computerized breast phantom that combines empirical data with the flexibility of mathematical models1. The goal of this project is to enhance the breast phantom to include a more detailed anatomy than currently visible and create additional phantoms from different breast CT data. To improve the level of detail in our existing segmentations, the breast CT data is reconstructed at a higher resolution and additional image processing techniques are used to correct for noise and scatter in the image data. A refined segmentation algorithm is used that incorporates more detail than previously defined. To further enhance high-resolution detail, mathematical models, implementing branching algorithms to extend the glandular tissue throughout the breast and to define Cooper's ligaments, are under investigation. We perform the simulation of mammography and tomosynthesis using an analytical projection algorithm that can be applied directly to the mathematical model of the breast without voxelization2. This method speeds up image acquisition, reduces voxelization artifacts, and produces higher resolution images than the previously used method. The realistic 3D computerized breast phantom will ultimately be incorporated into the 4DXCAT phantom3-5 to be used for breast imaging research.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christina M. Li, W. Paul Segars, Joseph Y. Lo, Alexander I. Veress, John M. Boone, and James T. Dobbins III "Computerized 3D breast phantom with enhanced high-resolution detail", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72580S (13 March 2009); https://doi.org/10.1117/12.813529
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Cited by 3 scholarly publications.
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KEYWORDS
Breast

Tissues

Data modeling

Image segmentation

Mathematical modeling

3D modeling

Image processing

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