A nonlinear regularization strategy for GRAPPA calibration

Mark Bydder, Youngkyoo Jung

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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
Issue number1
StatePublished - Jan 1 2009


  • Parallel imaging
  • Reconstruction

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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