3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imaging.
3D MRI
SWI
acceleration
compressed sensing
non-Cartesian
optimization
Journal
NMR in biomedicine
ISSN: 1099-1492
Titre abrégé: NMR Biomed
Pays: England
ID NLM: 8915233
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
22
04
2019
revised:
28
04
2020
accepted:
14
05
2020
pubmed:
3
7
2020
medline:
8
10
2021
entrez:
3
7
2020
Statut:
ppublish
Résumé
We have recently proposed a new optimization algorithm called SPARKLING (Spreading Projection Algorithm for Rapid K-space sampLING) to design efficient compressive sampling patterns for magnetic resonance imaging (MRI). This method has a few advantages over conventional non-Cartesian trajectories such as radial lines or spirals: i) it allows to sample the k-space along any arbitrary density while the other two are restricted to radial densities and ii) it optimizes the gradient waveforms for a given readout time. Here, we introduce an extension of the SPARKLING method for 3D imaging by considering both stacks-of-SPARKLING and fully 3D SPARKLING trajectories. Our method allowed to achieve an isotropic resolution of 600 μm in just 45 seconds for T2∗-weighted ex vivo brain imaging at 7 Tesla over a field-of-view of 200 × 200 × 140 mm
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4349Informations de copyright
© 2020 John Wiley & Sons, Ltd.
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