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Abstract #2405

Fast, Variable System Delay Correction for Spiral Trajectories

Payal Sharad Bhavsar1, Nicholas Ryan Zwart1, James Grant Pipe1

1Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States

Spiral encoding methods may exhibit image artifacts due to system delays and eddy current. This papers extends a previous approach to estimate time-varying system delays for stack-of-spirals based trajectories, reducing the computational time by a factor of 30. The proposed method is very fast, easy to implement, includes gradient coupling effects, is robust to off-resonance, and estimates delays for each gradient channel over the data acquisition time.