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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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