β Scribed by Ze Wang; Jiongjiong Wang; John A. Detre
No coin nor oath required. For personal study only.
This paper presents an improved data reconstruction method for generalized autocalibrating partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI). Both nearest acquired line (k~y~) neighboring points and column (k~x~) neighboring points from all components of an array coil were used to reconstruct each missing datum through interpolation. A new fitting scheme was designed to estimate the interpolation weights. Both simulations and in vivo experiments demonstrated that the proposed method yields higherβquality data reconstruction than the original GRAPPA method, especially with high acceleration factors. Magn Reson Med, 2005. Β© 2005 WileyβLiss, Inc.
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## Abstract 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
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