Development of an ensemble of digital breast object models

Authors:
J. Michael O'Connor;Mini Das;Clay Didier;Mufeed Mah'd;Stephen J. Glick
Affiliations:
,Biomedical Engineering & Biotechnology Program, University of Massachusetts Lowell, Lowell, Massachusetts;Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts;Biomedical Engineering & Biotechnology Program, University of Massachusetts Lowell, Lowell, Massachusetts;Biomedical Engineering & Biotechnology Program, University of Massachusetts Lowell, Lowell, Massachusetts;Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts
Venue:
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Year:
2010

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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.