A nonlinear regularization strategy for GRAPPA calibration

Mark Bydder; Youngkyoo Jung

doi:10.1016/j.mri.2008.05.005

A nonlinear regularization strategy for GRAPPA calibration

Mark Bydder, Youngkyoo Jung

Radiology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English (US)
Pages (from-to)	137-141
Number of pages	5
Journal	Magnetic Resonance Imaging
Volume	27
Issue number	1
DOIs	https://doi.org/10.1016/j.mri.2008.05.005
State	Published - Jan 1 2009

Keywords

GRAPPA
Parallel imaging
Reconstruction

ASJC Scopus subject areas

Biophysics
Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1016/j.mri.2008.05.005

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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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