Abstract #0191
Mitigating bias and variance associated with fat signal in quantitative DCE of the breast
James H Holmes 1 , Kang Wang 1 , Courtney K Morrison 2 , Frank R Korosec 3 , Ersin Bayram 4 , Roberta M Strigel 3 , Diego Hernando 3 , Scott B Reeder 3 , Edward F Jackson 2 , and Ryan J Bosca 2
1
Global MR Applications and Workflow, GE
Healthcare, Madison, WI, United States,
2
Medical
Physics, University of Wisconsin-Madison, WI, United
States,
3
Radiology, University of
Wisconsin-Madison, WI, United States,
4
Global
MR Applications and Workflow, GE Healthcare, Houston,
WI, United States
Robust fat suppression in breast dynamic contrast
enhanced (DCE)-MRI has been primarily viewed as a
critical need for qualitative evaluation. However,
current pharmacokinetic models used to quantitate
high-resolution acquisitions fail to account for the
complicated signals in voxels arising from voxels
containing fatty tissue and enhancing water
compartments. Such combinations of fat and water are
found commonly in, for example, non-mass enhancing
lesions of the breast. In this work we demonstrate the
influences of fat signal on DCE parameters and evaluate
fat suppression and separation methods including a 2
point Dixon method for high-spatiotemporal quantitative
DCE acquisitions.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
