Abstract #4378
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
1
Department of Biomedical Engineering, Johns
Hopkins School of Medicine, Baltimore, MD, United
States,
2
Siemens
Healthcare USA, Inc., Chicago, IL, United States,
3
Department
of Radiology, Case Western Reserve University,
Cleveland, OH, United States,
4
Department
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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