Fig. 8From: A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imagingSix representative cine images and their corresponding VI sub-network outputs and AS sub-network outputs for different imaging parameters relative to the baseline dataset. Banding artifacts in the heart, abdomen, and subcutaneous fat, and the flow artifacts in the aorta were well suppressed by the dual-stage network, even though the latter was not trained with these imaging parameters, views, or scanner. The VI maps generated by the VI sub-network identified the location and type of each artifact, rendering the correction results interpretable. VI, voxel identification; AS, artifact suppressionBack to article page