A Least Squares Optimal Density Compensation Function for Gridding
نویسندگان
چکیده
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 document, we present a technique to determine the density compensation weights by solving a least squares optimization problem.
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