Basque Center on Cognition, Brain and Language

The study trained a 3D residual channel attention network (RCAN) for 2x super-resolution of 4D flow MRI on a synthetic pulmonary-artery benchmark and found that adding biomarker supervision reduced pulsatility-index (PI) error under both regularization conditions (in the original primary comparison, 12.76 +/- 2.34% vs. 17.12 +/- 1.23%; paired difference -4.35 percentage points [95% CI -5.58, -3.09]; p = 0.0015), while PI improvement was not mirrored by uniformly improved reconstruction metrics (PSNR changes were not significant; SSIM decreased by 0.009 and 0.007) and only adjacent-frame temporal-difference, not divergence, regularization was associated with reproducible PI deterioration.

The study trained a 3D residual channel attention network (RCAN) for 2x super-resolution of 4D flow MRI on a synthetic pulmonary-artery benchmark and found that adding biomarker supervision reduced pulsatility-index (PI) error under both regularization conditions (in the original primary comparison, 12.76 +/- 2.34% vs. 17.12 +/- 1.23%; paired difference -4.35 percentage points [95% CI -5.58, -3.09]; p = 0.0015), while PI improvement was not mirrored by uniformly improved reconstruction metrics (PSNR changes were not significant; SSIM decreased by 0.009 and 0.007) and only adjacent-frame temporal-difference, not divergence, regularization was associated with reproducible PI deterioration.