Abstract #0379
A Vectorized Formalism for Efficient SAR Computation in Parallel Transmission
Mihir Pendse 1 and Brian Rutt 1
1
Radiology, Stanford University, Stanford,
CA, United States
We formulate an expression for a normalized SAR cost
function that encapsulates all local/global SAR and
average power terms into a single expression that is
evaluated to determine whether a given RF pulse sequence
abides by all time-averaged safety/hardware limits. A
vectorized oracle for evaluating this function and its
derivatives is described and implemented. With the use
of a GPU, the computation time of the oracle is shown to
be approximately constant even for large number of local
SAR voxels and subpulses. The vectorized oracle allows
for direct SAR-aware pulse optimization without the need
for SAR matrix formation and compression.
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