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Abstract #4390

Rapid Sample Density Estimation for 3D Trajectories

Nicholas Ryan Zwart1, James Grant Pipe1

1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States

The reconstruction of non-cartesian k-space trajectories often requires the estimation of non-uniform sampling density. Particularly for 3D, this calculation can be computationally expensive. The method proposed in this work is the combination of a fast, previously proposed, iterative algorithm with a previously proposed optimized convolution kernel.