Title
Optimization of a high sensitivity MRI receive coil for parallel human brain imaging
Abstract
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
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 Zwart133330.78
Patrick J. Ledden200.34
Peter van Gelderen340335.74
Kellman, P.400.34
Yuxi Pang521.41
Renxin Chu6154.51
Jeff H. Duyn783948.39
de Zwart, J.A.800.34
van Gelderen, P.900.34