GPU-accelerated FDTD modeling of radio-frequency field-tissue interactions in high-field MRI

Chi, Jieru, Liu, Feng, Weber, Ewald, Li, Yu and Crozier, Stuart (2011) GPU-accelerated FDTD modeling of radio-frequency field-tissue interactions in high-field MRI. IEEE Transactions on Biomedical Engineering, 58 6: 1789-1796. doi:10.1109/TBME.2011.2116020

Author Chi, Jieru
Liu, Feng
Weber, Ewald
Li, Yu
Crozier, Stuart
Title GPU-accelerated FDTD modeling of radio-frequency field-tissue interactions in high-field MRI
Journal name IEEE Transactions on Biomedical Engineering   Check publisher's open access policy
ISSN 0018-9294
Publication date 2011-06
Sub-type Article (original research)
DOI 10.1109/TBME.2011.2116020
Volume 58
Issue 6
Start page 1789
End page 1796
Total pages 8
Place of publication Piscataway, NJ, United States
Publisher I E E E
Collection year 2012
Language eng
Abstract The analysis of high-field RF fieldtissue interactions requires high-performance finite-difference time-domain (FDTD) computing. Conventional CPU-based FDTD calculations offer limited computing performance in a PC environment. This study presents a graphics processing unit (GPU)-based parallel-computing framework, producing substantially boosted computing efficiency (with a two-order speedup factor) at a PC-level cost. Specific details of implementing the FDTD method on a GPU architecture have been presented and the new computational strategy has been successfully applied to the design of a novel 8-element transceive RF coil system at 9.4T. Facilitated by the powerful GPU-FDTD computing, the new RF coil array offers optimized fields (averaging 25 improvement in sensitivity, and 20 reduction in loop coupling compared with conventional array structures of the same size) for small animal imaging with a robust RF configuration. The GPU-enabled acceleration paves the way for FDTD to be applied for both detailed forward modeling and inverse design of MRI coils, which were previously impractical.
Keyword Finite-difference time-domain (FDTD)
Graphics processing unit (GPU)
Parallel computing
RF coil
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 5714720

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 16 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 20 Dec 2011, 13:28:26 EST by Ms Deborah Brian on behalf of School of Information Technol and Elec Engineering