Prospective GIRF-based RF phase cycling to reduce eddy current-induced steady-state disruption in bSSFP imaging.

Tom BruijnenBjorn StemkensCornelis Antonius Theodorus van den BergRob Hendrikus Nicolaas Tijssen

Published in: Magnetic resonance in medicine (2019)

The proposed signal model can accurately predict eddy current-induced steady-state disruptions for bSSFP imaging. The signal model can be used to derive the eddy current-induced phase errors required for trajectory-specific RF phase cycling schemes, which considerably reduce eddy current-induced image artifacts.

Keyphrases

high glucose
diabetic rats
high resolution
drug induced
emergency department
oxidative stress
computed tomography
high intensity
deep learning
fluorescence imaging