Engineering & Computer Science, Massachusetts Institute of Technology,
Parallel transmit (pTx) applications in MRI are limited by local SAR constraints. The peak local SAR can be estimated by monitoring so-called virtual observation points (VOPs) instead of searching exhaustively over all voxels in a 3D model. The VOPs can be pre-computed once for a given model and array configuration and applied in subsequent computation to efficiently estimate peak local SAR due to a given pTx RF pulse. We present a generalization of the original model compression method by VOPs, whereby we maintain the same accuracy in peak local SAR estimates, but with a reduced number of VOPs.