GPU Accelerated FDTD Solver and its Application in MRI

被引：2
|
作者：
Chi, J. [1 ]
Liu, F. [2 ]
Jin, J. [2 ]
Mason, D. G. [2 ]
Crozier, S. [2 ]
机构：
[1] Qingdao Univ, Sch Automat Engn, Qingdao 266071, Peoples R China
[2] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld 4072, Australia
来源：
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
基金：
澳大利亚研究理事会;
关键词：
D O I：
10.1109/IEMBS.2010.5627497
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The finite difference time domain (FDTD) method is a popular technique for computational electromagnetics (CEM). The large computational power often required, however, has been a limiting factor for its applications. In this paper, we will present a graphics processing unit (GPU)-based parallel FDTD solver and its successful application to the investigation of a novel B-1 shimming scheme for high-field magnetic resonance imaging (MRI). The optimized shimming scheme exhibits considerably improved transmit B1 profiles. The GPU implementation dramatically shortened the runtime of FDTD simulation of electromagnetic field compared with its CPU counterpart. The acceleration in runtime has made such investigation possible, and will pave the way for other studies of large-scale computational electromagnetic problems in modern MRI which were previously impractical.
引用
收藏
页码：3305 / 3308
页数：4
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