Article ID Journal Published Year Pages File Type
1807936 Magnetic Resonance Imaging 2009 5 Pages PDF
Abstract

A regularization strategy is described for generalized autocalibrating partially parallel acquisition (GRAPPA) that allows successful calibration using a small number of autocalibration signals (ACS). The approach requires certain nonlinear relationships between the GRAPPA coefficients to be satisfied, which increases the redundancy so that fewer ACS need to be acquired.

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Related Topics
Physical Sciences and Engineering Physics and Astronomy Condensed Matter Physics
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A nonlinear regularization strategy for GRAPPA calibration
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