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Abstract #4397

Parallel Imaging using a Non-Uniform Undersampling Trajectory

Yu Li1, Charles L. Dumoulin1

1Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

This work introduces a novel parallel imaging technique that uses a non-uniform k-space undersampling trajectory to accelerate Cartesian data acquisition for MRI. In this technique, a non-uniform undersampling trajectory is formed from multiple uniform sub-trajectories with higher undersampling factors. A modulation model is used to separate non-uniformly undersampled data into aliasing and real image data in k-space. A set of linear filters is used to pass real image and block aliasing for reconstruction. In high-resolution brain imaging, it is demonstrated that a non-uniform trajectory gives better performance in parallel imaging with high acceleration factors than a uniform trajectory.