Deep learning-based local SAR prediction using B maps and structural MRI of the head for parallel transmission at 7 T.

Journal: Magnetic resonance in medicine
PMID:

Abstract

PURPOSE: To predict subject-specific local specific absorption rate (SAR) distributions of the human head for parallel transmission (pTx) systems at 7 T.

Authors

  • Sayim Gokyar
    Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Chenyang Zhao
    SILC Business School, Shanghai University, Shanghai 201800, China.
  • Samantha J Ma
    From the Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles (K.W., Q.S., S.J.M., H.K., D.J.J.W.).
  • Danny J J Wang
    From the Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles (K.W., Q.S., S.J.M., H.K., D.J.J.W.).