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Abstract #3193

Trajectory optimization criterion for convolution in k-t space

Huang F, Duensing G, Xu D
Invivo Corporation

For partially acquired dynamic magnetic resonance imaging (MRI), the accuracy of the reconstruction is a function of the k-t space trajectory. Tsao et al. discussed the trajectory optimization for k-t SENSE In this work, the expectation of the reconstruction error is used as a criterion of trajectory optimization for reconstruction methods based on convolution in k-t space. The intuitive basis for the optimization is that all of the data with which to construct missing data is acquired with as little redundancy as possible. k-t GRAPPA is applied to dynamic cardiac MRI data to confirm the criterion.

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