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. 2020 Sep;33(9):e4349.
doi: 10.1002/nbm.4349. Epub 2020 Jul 1.

3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imaging

Carole Lazarus  1   2   3 , Pierre Weiss  4   5   6 , Loubna El Gueddari  1   2   3 , Franck Mauconduit  7 , Aurélien Massire  1 , Mathilde Ripart  1   2 , Alexandre Vignaud  1   2 , Philippe Ciuciu  1   2   3
Affiliations

3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imaging

Carole Lazarus et al. NMR Biomed. 2020 Sep.

Abstract

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 mm3 . Preliminary in vivo human brain data shows that a stack-of-SPARKLING is less subject to off-resonance artifacts than a stack-of-spirals.

Keywords: 3D MRI; SWI; acceleration; compressed sensing; non-Cartesian; optimization.

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References

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