Abstract #4388
Direct Virtual Coil for Fat Fraction Quantification
Kang Wang 1 , James H Holmes 1 , Shaorong Chang 2 , Philip J Beatty 3 , Ann Shimakawa 4 , Lloyd Estkowski 4 , Scott B Reeder 5,6 , and Ersin Bayram 7
1
Global MR Applications and Workflow, GE
Healthcare, Madison, WI, United States,
2
MR
Engineering, GE Healthcare, Waukesha, WI, United States,
3
Physical
Sciences, Sunnybrook Research Institute, Toronto, ON,
Canada,
4
Global
MR Applications and Workflow, GE Healthcare, Menlo Park,
CA, United States,
5
Radiology,
University of Wisconsin-Madison, WI, United States,
6
Medical
Physics, University of Wisconsin-Madison, WI, United
States,
7
Global
MR Applications and Workflow, GE Healthcare, Houston,
TX, United States
Direct Virtual Coil (DVC) has been previously
demonstrated to be an efficient method to reduce
computation time for data-driven parallel imaging. It
has also been shown that DVC preserves phase
information, and is compatible with phase-sensitive
applications, such as 2-pt Dixon qualitative water-fat
separation. In this work, we demonstrate the feasibility
of DVC for quantitative fat fraction imaging.
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