Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging

Abstract

We present a flexible method dubbed Accelerated Radial Compressed Sensing (ARCS) which uses Compressed Sensing to reconstruct 2D and 3D radial data. Our tests on 2D radial data show that ARCS is competitive in quality with traditional CS reconstruction methods (which reconstruct Cartesian data) and is five to twenty times as fast at the same time. Therefore, we believe that ARCS is a novel approach that warrants additional research.