Abstract #4397
Characterization of autocalibration methods for accelerated EPI reconstructions using GRAPPA
Jonathan Rizzo Polimeni 1 , Kawin Setsompop 1 , and W. Scott Hoge 2
1
Athinoula A. Martinos Center for Biomedical
Imaging, Department of Radiology, Harvard Medical
School, Massachusetts General Hospital, Charlestown, MA,
United States,
2
Department
of Radiology, Brigham and Womens Hospital and Harvard
Medical School, Boston, MA, United States
It has been recently demonstrated that phase errors
across segments of multi-shot EPI data used for GRAPPA
calibration can have a dramatic impact on image quality,
causing severe SNR loss and ghosting/aliasing artifacts.
Here we characterize several proposed calibration
methods in terms of artifact level and tSNR to determine
to what extent calibration data should match image data.
We find that the ideal calibration data must match the
accelerated EPI data in terms of phase errors and
geometric distortion to provide high quality GRAPPA
reconstructions. Target audience: Clinicians/researchers
using accelerated echo planar imaging, especially in
high-field or high-resolution applications.
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