Abstract #0093
Obtaining B 1 Distributions by Encoding in B 1 Instead of Image Space
Kalina V Jordanova 1 , Dwight G Nishimura 1 , and Adam B Kerr 1
1
Electrical Engineering, Stanford University,
Stanford, California, United States
A new method to estimate the B
1
distribution
in a volume by encoding in B
1
rather
than along image space is presented. By acquiring
multiple 1D projections using the BEAR B
1
mapping
method with different phase sensitivities to B
1
,
an estimate of the B
1
distribution
in each projected pixel is calculated using a convex
optimization formulation. We validate this method
through simulations and in vivo at 3T. With this method,
the B
1
distribution
in a volume can be estimated faster than in acquiring a
2D B
1
map.
The method is potentially useful when B
1
varies
rapidly in space.
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