DocumentCode
1357333
Title
7T Human Spine Imaging Arrays With Adjustable Inductive Decoupling
Author
Wu, Bing ; Wang, Chunsheng ; Krug, Roland ; Kelley, Douglas A. ; Xu, Duan ; Pang, Yong ; Banerjee, Suchandrima ; Vigneron, Daniel B. ; Nelson, Sarah J. ; Majumdar, Sharmila ; Zhang, Xiaoliang
Author_Institution
Dept. of Radiol. & Biomed. Imaging, Univ. of California, San Francisco, CA, USA
Volume
57
Issue
2
fYear
2010
Firstpage
397
Lastpage
403
Abstract
Ultrahigh-field human spine RF transceiver coil arrays face daunting technical challenges in achieving large imaging coverage with sufficient B1 penetration and sensitivity, and in attaining robust decoupling among coil elements. In this paper, human spine coil arrays for ultrahigh field were built and studied. Transceiver arrays with loop-shaped microstrip transmission line were designed, fabricated, and tested for 7-tesla (7T) MRI. With the proposed adjustable inductive decoupling technique, the isolation between adjacent coil elements is easily addressed. Preliminary results of human spine images acquired using the transceiver arrays demonstrate the feasibility of the design for ultrahigh-field MR applications and its robust performance for parallel imaging.
Keywords
biomedical MRI; bone; medical image processing; microstrip lines; neurophysiology; transceivers; transmission lines; B1 penetration; MRI; adjacent coil element isolation; adjustable inductive decoupling; human spine imaging arrays; loop-shaped microstrip transmission line; magnetic flux density 7 T; parallel imaging; ultrahigh-field human spine RF transceiver coil arrays; Coils; Face; Humans; Magnetic resonance imaging; Microstrip antenna arrays; Radio frequency; Robustness; Testing; Transceivers; Transmission lines; Array; RF coil; decoupling; high-field MRI; human spine; microstrip; parallel imaging; Algorithms; Equipment Design; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Spine;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2009.2030170
Filename
5223651
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