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) |
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Pages (from-to) | 137-141 |
Number of pages | 5 |
Journal | Magnetic Resonance Imaging |
Volume | 27 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2009 |
Keywords
- GRAPPA
- Parallel imaging
- Reconstruction
ASJC Scopus subject areas
- Biophysics
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging