Split-slice training and hyperparameter tuning of RAKI networks for simultaneous multi-slice reconstruction.
Andrew Scott NenckaVolkan E ArpinarSampada BhaveBaolian YangSuchandrima BanerjeeMichael McCreaNikolai J MickeviciusL Tugan MuftulerKevin M KochPublished in: Magnetic resonance in medicine (2020)
Split-slice training for simultaneous multi-slice RAKI networks positively impacts network performance. Hyperparameter tuning of such reconstruction networks can lead to further improvements in unaliasing performance.