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Abstract #3106

MR Gradient Estimation Using a Linear Time Invariant Model

Nii Okai Addy1, Holden H. Wu1,2, Dwight G. Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States; 2Cardiovascular Medicine, Stanford University, Stanford, CA, United States

MR system imperfections limit the accuracy with which gradient waveforms of fast imaging trajectories such as spirals and 3D cones, are generated on the scanner. This mainly results in a delay of achieved k-space trajectories from the theoretical case. It is possible to measure the system delays for each axis and manually adjust the timing of the gradients to improve image reconstruction. However, a range of delay values can be observed on a single axis. This work models the gradient system with a linear time invariant model for accurate estimation of a range of gradient waveforms generated on the scanner.