Supercapacitor Energy Storage for Magnetic Resonance Imaging Systems
File(s)IEEE Transactions on Industrial Electronics_2013.pdf (1.12 MB)
Accepted version
Author(s)
Ristic, M
Gryska, Y
McGinley, JVM
Yufit, V
Type
Journal Article
Abstract
Magnetic Resonance Imaging (MRI) involves very short pulses of very high current. Substantial savings in the high cost of MRI installations may be realised by employing suitable electrical energy storage, for which supercapacitors are strong candidates in view of high specific power and long cycle life. A key question is whether the well-known capacitance degradation with increased frequency is compatible with the complex and highly variable duty cycles of various MRI sequences. Compatibility of the supercapacitor voltage range with the MRI system must also be considered. We present a detailed analysis of power duty profiles in MRI, using actual imaging sequences, that has not been reported previously. We also propose and validate a simplified supercapacitor model that can accurately simulate its performance in the MRI system, involving pulses several orders of magnitude shorter than those considered previously. Results of equivalent experiments involving Lithium-Ion Iron Phosphate (LiFePO4) batteries are also reported. Finally, we present a detailed analysis of the overall energy storage performance in a realistic neurological examination. The study is based on a specific system of our own design and we fully disclose its relevant parameters, so that the results would be of direct practical value to the wider community, including developers of MRI.
Date Issued
2013-10-25
Citation
IEEE Transactions on Industrial Electronics, 2013, PP (99)
ISSN
0278-0046
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Start Page
4255
End Page
4264
Journal / Book Title
IEEE Transactions on Industrial Electronics
Volume
PP
Issue
99
Copyright Statement
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000331791100045&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Publication Status
Published