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

International audienceWe 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