Abstract
In the investigation of emerging tomographic breast imaging methods using flat-panel detectors (FPDs), digital breast object models are useful tools. These models are also commonly referred to as digital phantoms. We have created an ensemble of digital breast object phantoms based on CT scans of surgical mastectomy specimens. Early versions of the phantoms have been used in our published research. Recently we have improved some of our processing tools such as the use of 3-D anisotropic diffusion filtering (ADF) prior to segmentation, and we have evaluated breast object models generated with different methods including power spectral analysis, ROI statistics and an observation study. © 2010 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
O’Connor, J. M., Das, M., Didier, C., Mah’d, M., & Glick, S. J. (2010). Development of an ensemble of digital breast object models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6136 LNCS, pp. 54–61). https://doi.org/10.1007/978-3-642-13666-5_8
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
