Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here