Abstract | ||
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We present an analytical form of ground-truth k-space data for the 2-D Shepp-Logan brain phantom in the presence of multiple and non-homogeneous receiving coils. The analytical form allows us to conduct realistic simulations and validations of reconstruction algorithms for parallel MRI. The key contribution of our work is to use a polynomial representation of the coil's sensitivity. We show that this method is particularly accurate and fast with respect to the conventional methods. The implementation is made available to the community. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/ISBI.2010.5490365 | ISBI |
Keywords | Field | DocType |
reconstruction algorithm,analytical form,conventional method,parallel mri,ground-truth k-space data,key contribution,polynomial representation,2-d shepp-logan brain,realistic simulation,sensitivity,ground truth,magnetic resonance imaging,image reconstruction,biomedical imaging,magnetic resonance image,image analysis,phantom,polynomials | Iterative reconstruction,Computer vision,Parallel magnetic resonance imaging,Polynomial,Computer science,Imaging phantom,Electromagnetic coil,Artificial intelligence,Magnetic resonance imaging,Shepp–Logan phantom | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4244-4126-6 | 2 |
PageRank | References | Authors |
0.44 | 3 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. Guerquin-Kern | 1 | 10 | 1.16 |
Karahanoğlu, F.I. | 2 | 2 | 0.44 |
Dimitri Van De Ville | 3 | 153 | 9.80 |
K. P. Pruessmann | 4 | 10 | 1.16 |
Unser, M. | 5 | 3438 | 442.40 |