Calibration Reduction for Through-time radial GRAPPA by Weights Compression
Ozan Sayin 1 , Haris Saybasili 2 , Mark Griswold 3,4 , Nicole Seiberlich 4 , and Daniel A. Herzka 1
Department of Biomedical Engineering, Johns
Hopkins School of Medicine, Baltimore, MD, United
Healthcare USA, Inc., Chicago, IL, United States,
of Radiology, Case Western Reserve University,
Cleveland, OH, United States,
of Biomedical Engineering, Case Western Reserve
University, Cleveland, OH, United States
Undersampled non-Cartesian trajectories permit high
acceleration factors for real-time acquisitions with
parallel imaging. Thus, accurate and efficient
calibration schemes for such methods are important.
Recently, a well-established parallel imaging technique
GRAPPA, originally proposed for Cartesian trajectories,
has been successfully extended to non-Cartesian imaging.
This was enabled via an improved calibration formalism
that extends the calibration to the time dimension
(through-time calibration), and can be implemented for
rapid imaging. The current study aims reducing the
number of calibration frames required, thereby speeding
up the real-time reconstructions significantly. A new
calibration method that includes compression of the
GRAPPA weights is proposed.
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