Compressed sensing (CS) theory has been successfully employed to drastically reduce MRI acquisition time. Recently, a new optimization-driven algorithm (SPARKLING) was proposed to design optimal non-Cartesian sampling patterns for CS-MRI. This method has several advantages compared to radial or spiral non-Cartesian imaging, yet the question on how the acceleration factor should be selected to ensure satisfactory image quality should be investigated. In this work, we applied the SPARKLING method for 3D susceptibility-weighted imaging, achieving 500μm in-plane resolution and full brain coverage in 3 minutes at 3T (6-fold acceleration compared to fully-sampled Cartesian imaging).
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