Improving spreading projection algorithm for rapid k-space sampling trajectories through minimized off-resonance effects and gridding of low frequencies.
SPARKLING
SWI
compressed sensing
non-Cartesian imaging
prospective scans
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
revised:
28
03
2023
received:
17
11
2022
accepted:
21
04
2023
medline:
30
6
2023
pubmed:
22
5
2023
entrez:
22
5
2023
Statut:
ppublish
Résumé
Non-Cartesian MRI with long arbitrary readout directions are susceptible to off-resonance artifacts due to patient induced The recently developed SPARKLING algorithm is extended to drastically diminish off-resonance artifacts by generating temporally smooth k-space sampling patterns. For doing so, the cost function which is optimized in SPARKLING is modified using a temporal weighting factor. Additionally, oversampling of the center of k-space beyond the Nyquist criteria is prevented through the use of gridded sampling in the region, enforced with affine constraints. Prospective k-space data was acquired at 3 T on new trajectories, and we show robustness to The improved trajectories allowed for the recovery of signal dropouts observed on original SPARKLING acquisitions at larger These advancements allowed us for nearly
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1069-1085Informations de copyright
© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
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