A nonlinear regularization strategy for GRAPPA calibration

Mark Bydder, Youngkyoo Jung

Research output: Contribution to journal › Article

9 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)137-141
Number of pages5
JournalMagnetic Resonance Imaging
Volume27
Issue number1
DOIs
StatePublished - Jan 1 2009
Externally publishedYes

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Calibration
Redundancy

Keywords

  • GRAPPA
  • Parallel imaging
  • Reconstruction

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

A nonlinear regularization strategy for GRAPPA calibration. / Bydder, Mark; Jung, Youngkyoo.

In: Magnetic Resonance Imaging, Vol. 27, No. 1, 01.01.2009, p. 137-141.

Research output: Contribution to journal › Article

Bydder, M & Jung, Y 2009, 'A nonlinear regularization strategy for GRAPPA calibration', Magnetic Resonance Imaging, vol. 27, no. 1, pp. 137-141. https://doi.org/10.1016/j.mri.2008.05.005
Bydder M, Jung Y. A nonlinear regularization strategy for GRAPPA calibration. Magnetic Resonance Imaging. 2009 Jan 1;27(1):137-141. https://doi.org/10.1016/j.mri.2008.05.005
Bydder, Mark ; Jung, Youngkyoo. / A nonlinear regularization strategy for GRAPPA calibration. In: Magnetic Resonance Imaging. 2009 ; Vol. 27, No. 1. pp. 137-141.
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