Abstract #5458

The ultimate local SAR in realistic body models: Preliminary convergence results

Bastien Guerin^1,2, Stephen F Cauley^1,2, Jorge F Villena³, Athanasios G Polimeridis⁴, Elfar Adalsteinsson^5,6,7, Luca Daniel⁷, Jacob K White⁷, and Lawrence L Wald^1,2,5

¹Radiology, Massachusetts General Hospital, Charlestown, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Cadence Design Systems, Feldkirchen, Germany, ⁴Skolkovo Institute of Science and Technology, Moscow, Russian Federation, ⁵Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States, ⁶Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁷Dept of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States

We extend our previously reported methodology for computation of the ultimate signal-to-noise ratio in realistic body models to the computation of the ultimate specific absorption rate (SAR) in the head of the Duke body model at 3 Tesla. We optimize 90° magnitude least-squares RF pulses subject to hundreds of thousands of SAR constraint for increasing numbers of electromagnetic fields in the basis set. As the size of the basis set increases, we show that the local SAR decreases toward a value that we call the “ultimate local SAR”.

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