Jieru Chi1, Feng Liu2, Ewald
Weber2, Yu Li2, Riyu Wei2, Wenlong Xu3,
Adnan Trakic2, Hua Wang2, Stuart Crozier2
1Qingdao University, Qingdao, China; 2The
School of Information Technology and Electrical Engineering, The University
of Queensland, Brisbane, St.Lucia, Queensland, Australia; 3Dept.
of Biomedical Engineering, China Jiliang university, Hangzhou, China
This
study extends our recent works on CPU-base FDTD simulations into a Graphics
Processing Unit (GPU)-based parallel-computing framework, producing
substantially boosted computing efficiency at only PC-level cost. The new
computational strategy enables intensive computing feasible for solving
forward-inverse EM problems in modern MRI, as illustrated in the high-field
B1-shimming investigation presented herein. Moreover, the new rotating RF
excitation technique proposed here can compensate for B1 inhomogeneities
while simultaneously controlling SAR and as such may have a number of
applications in high-field MRI.