Abstract #1713
Optimizing the data acquisition strategy for quantitative susceptibility mapping in the liver
Samir D. Sharma 1 , Diego Hernando 1 , Debra E. Horng 1,2 , and Scott B. Reeder 1,2
1
Radiology, University of Wisconsin, Madison,
WI, United States,
2
Medical
Physics, University of Wisconsin, Madison, WI, United
States
Quantitative susceptibility mapping (QSM) in the liver
has focused on the reconstruction of the susceptibility
map from the B
0
field,
whereas little consideration has been given to the data
acquisition. The purpose of this work was to optimize
the data acquisition parameters for QSM in the liver. We
calculated the Cramr-Rao Bound (CRB) on the B
0
field
and performed Monte-Carlo simulations to optimize the
data acquisition. CRB analysis and Monte-Carlo
simulations revealed that generally a shorter first echo
time, short echo spacing (~0.5ms), and larger number of
echoes result in lower variance of the B
0
field
and susceptibility map estimates.
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