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.