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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.

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Keywords

acquisition aims amplitude applied applying around arrows artifact artifacts aspects attempts attributed better block capable china column comparing compressed constraints contrast coordinates cross curvature curve defined denotes density depends described design diagonal disadvantages dong efficient element error existing exists expressed fidelity find firstly function good gradient gradients hardware homepage important incoherence index indicated inspired introduce irregular just largest leaved length like lobe locations longer looks motived much named neglected noise obvious obviously often optimize optimized origin original oversampling paper pattern patterns peak performance performances period periodic periphery polar practical preferred problem proposed radial random reconstruction reconstructions reduce regular reported requirement resolution respectively rose rotating sampled samples sampling scanner scanning school science secondly sensing several short shot shots side simplicity simulation simulations slew smaller smooth solving space spiral spread suited technology theory tool trajectories trajectory traverse variable viewpoint waveforms yang yield