Paper
19 March 2013 Estimating breast density with dual energy mammography: a simple model based on calibration phantoms
Hyunkoo Chung, Lynda Ikejimba, Nooshin Kiarashi, Ehsan Samei, Mathias Hoernig, Joseph Y. Lo
Author Affiliations +
Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86684L (2013) https://doi.org/10.1117/12.2008398
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Dual energy digital mammography has been used to suppress specific breast tissue, primarily for the purpose of iodine contrast-enhanced imaging. Another application of dual energy digital mammography is to estimate breast density, as defined by the fraction of glandular tissue, by suppressing adipose tissue. Adipose equivalent phantoms were used to derive the weighting factor for dual energy subtraction at 2, 4, 6, and 8 cm thickness. For each thickness besides 8 cm, measurements were taken over a range of densities (0, 50, and 100%) and used for calibration measurements to model a density map. Once the density map was verified with uniform slabs, the density map was evaluated with 50/50 CIRS 020 phantom at 2, 4, and 6 cm thickness and demonstrated the feasibility of using dual energy subtraction to estimate breast density on complex phantoms.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hyunkoo Chung, Lynda Ikejimba, Nooshin Kiarashi, Ehsan Samei, Mathias Hoernig, and Joseph Y. Lo "Estimating breast density with dual energy mammography: a simple model based on calibration phantoms", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684L (19 March 2013); https://doi.org/10.1117/12.2008398
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Dual energy imaging

Breast

Calibration

Tissues

Mammography

Digital mammography

Error analysis

Back to Top