Iterative GRAPPA (iGRAPPA) for improved parallel imaging reconstruction

@article{Zhao2008IterativeG,
  title={Iterative GRAPPA (iGRAPPA) for improved parallel imaging reconstruction},
  author={Tiejun Zhao and Xiaoping P. Hu},
  journal={Magnetic Resonance in Medicine},
  year={2008},
  volume={59}
}
In this work an iterative reconstruction method based on generalized autocalibrating partially parallel acquisitions (GRAPPA) reconstruction is introduced. In the new method the reconstructed lines are used to reestimate and refine the weights from all the acquired data by applying the GRAPPA procedure iteratively with regularization. Both phantom and in vivo MRI experiments demonstrated that, compared to GRAPPA, the iterative approach reduces parallel imaging artifacts and permits high‐quality… 

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An improved data reconstruction method for generalized autocalibrating partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI), which yields higher‐quality data reconstruction than the original GRAPPA method.

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