Skip to main content
Fig. 7 | Journal of Cardiovascular Magnetic Resonance

Fig. 7

From: A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging

Fig. 7

The results of unpaired statistical comparisons between the baseline dataset (baseline), which had the same sequence parameters with the training dataset, and other datasets, which had different sequence parameters. The change of sequence parameters included reduced bandwidth (BW), reduced flip angles (FA), reduced slice-thickness (ST), use of long-axis views (Lax), and use of a clinical scanner for imaging of patients (Clin). Except the FA group, the banding artifact suppression was not significantly different compared with the baseline. Except the Lax and Clin groups, the flow artifact suppression was not significantly different compared with the baseline. The overall image quality for all groups of changed parameters was not significantly different compared with the baseline. These results suggest that the proposed network was reasonably generalizable when relevant sequence parameters were changed

Back to article page