Abstract #3292

Law C, Glover G

Image quality in functional magnetic resonance imaging (fMRI) depends heavily on fidelity of imaging trajectory actually used. Even with careful calibration, actual imaging trajectories will always deviate from their design; images are typically acquired using imperfect trajectories. We developed a linear precompensation technique to minimize deviation between design and measured trajectories. We found that image aliasing artifacts from trajectory imperfection are reduced by precompensation. Fluctuation noise caused by motion can also be reduced using our technique.