Melanie Freed1,2, Jacco A. de Zwart3, Jennifer T. Loud4, Riham H. El Khouli5, Mark H. Greene4, Brandon D. Gallas1, Kyle J. Myers1, Jeff H. Duyn3, David A. Bluemke5, Aldo Badano1
1CDRH/OSEL/DIAM, FDA, Silver Spring, MD, United States; 2Department of Bioengineering, University of Maryland, College Park, MD, United States; 3NINDS/LFMI/Advanced MRI Section, National Institutes of Health, Bethesda, MD, United States; 4NCI/Clinical Genetics Branch, National Institutes of Health, Rockville, MD, United States; 5Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, United States
We are developing a physical, tissue-mimicking phantom to be used for task-based, quantitative assessment of breast MRI protocols. Here we present initial results of the phantom characterization and comparison to human data. Measured T1 and T2 relaxation values of the adipose- and glandular-mimicking phantom components agree with human values from the literature. The structure of human and phantom images is compared using the covariance kernel and found to match within patient variation.