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Merging Cartesian and non-Cartesian sampling through GoLF-SPARKLING

2024-08-14 Chaithya Giliyar Radhakrishna, Guillaume Daval-Frérot, Aurélien Massire, et al. ISMRM & ISMRT Annual Meeting & Exhibition

#SPARKLING #Non-Cartesian Sampling #k-space Sampling #non-Cartesian sampling #k-space trajectory #golf

Cartesian sampling can acquire a given k-space region with minimum redundancy, while non-Cartesian sampling can help achieve a larger k-space coverage. Through generalized affine constraints in SPARKLING and an adapted target sampling density, for the first time non-Cartesian and Cartesian sampling are merged within…

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