Abstract | ||
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Two eight-channel MRI receive-only coils were developed to provide whole-brain coverage at 1.5 T and 3.0 T field strength, respectively. Objectives were an image signal-to-noise ratio superior to standard designs throughout the human brain, as well as high parallel imaging performance. Electromagnetic field simulations were used to determine array diameter and inter-element coil gap. Low mutual inductive coupling was achieved at 1.5 and 3.0 T using high-impedance pre-amplifiers. Coils show an average SNR improvement over commercial birdcage coils of 2.4 and 2.3 for the 1.5 T and 3.0 T design, respectively. The mean of the noise-amplification factor related to reconstruction of under-sampled data (g-factor) was 1.03 for 2-fold under-sampled data (rate-2) and 1.22 for rate-3 at 1.5 T. For data acquired with the 3.0 T coil array, these values were respectively 1.06 for rate-2 and 1.37 for rate-3. |
Year | DOI | Keywords |
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2002 | 10.1109/ISBI.2002.1029423 | biomedical MRI,biomedical equipment,brain,coils,image reconstruction,image sampling,medical image processing,1.5 T,3.0 T,SNR improvement,array diameter,eight-channel MRI receive-only coils,electromagnetic field simulations,g-factor,high parallel imaging performance,high sensitivity MRI receive coil,high-impedance pre-amplifiers,image signal-to-noise ratio,inter-element coil gap,low mutual inductive coupling,noise-amplification factor,optimization,parallel human brain imaging,under-sampled data reconstruction,whole-brain coverage |
Field | DocType | ISBN |
Biomedical engineering,Noise measurement,Computer science,Artificial intelligence,Iterative reconstruction,Computer vision,Inductive coupling,Signal-to-noise ratio,Electromagnetic coil,Field strength,Electromagnetic field,Nuclear magnetic resonance,Magnetic resonance imaging | Conference | 0-7803-7584-X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jacco A de Zwart | 1 | 333 | 30.78 |
Patrick J. Ledden | 2 | 0 | 0.34 |
Peter van Gelderen | 3 | 403 | 35.74 |
Kellman, P. | 4 | 0 | 0.34 |
Yuxi Pang | 5 | 2 | 1.41 |
Renxin Chu | 6 | 15 | 4.51 |
Jeff H. Duyn | 7 | 839 | 48.39 |
de Zwart, J.A. | 8 | 0 | 0.34 |
van Gelderen, P. | 9 | 0 | 0.34 |