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Abstract #2375

A New K-Space Trajectory for Compressed Sensing MRI

Ya Li1, Ran Yang1

1School of Information Science and Technology, Sun Yat-Sen University, Guang Zhou, Guang Dong, China

we propose a new k-space trajectory named as four leaved rose curve (FLRC),which is a short, smooth, variable density and random-like. Simulations show that FLRC trajectory has better fidelity than spiral. It is well-suited for CS-MRI, because of: 1) The locations of FLRC sampling points are more irregular than spiral. And these artifacts are different. For spiral, the artifact looks like more regular, however, it is noise-like for FLRC. 2).The FLRC trajectory has more smaller side-lobe of PSF than spiral . That means incoherence what is the very important requirements should be satisfied for application of CS.