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3D variable-density SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance imaging

Abstract : We have recently proposed a new optimization algorithm called SPARKLING (Spreading Projection Algorithm for Rapid K-space sampLING) to design efficient Com-pressive Sampling patterns for Magnetic Resonance Imaging. 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 mm3. Preliminary human brain data shows that a stack-of-SPARKLING is less subject to off-resonance artifacts than a stack-of-spirals.
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Contributor : Philippe Ciuciu Connect in order to contact the contributor
Submitted on : Thursday, May 28, 2020 - 8:01:30 AM
Last modification on : Thursday, April 28, 2022 - 3:24:42 PM


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  • HAL Id : hal-02637943, version 1


Carole Lazarus, Pierre Weiss, Loubna Gueddari, Franck Mauconduit, Aurélien Massire, et al.. 3D variable-density SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance imaging. NMR in Biomedicine, Wiley, In press. ⟨hal-02637943⟩



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