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Abstract #4009

A Least Squares Optimal Density Compensation Function for Gridding

Nicholas Dwork1, Corey Baron1, Ethan Johnson1, Adam B. Kerr1, Dwight G. Nishimura1, and John Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States

Gridding is a relevant algorithm for both image reconstruction and pulse design. With Gridding, it is crucial to appropriately compensate for varying density of the sampling trajectory. In this paper, we present a technique to determine the weights by solving a least squares optimization problem.

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