Super-Resolving and Denoising 4D flow MRI of Neurofluids Using Physics-Guided Neural Networks.
Neal M PatelEmily R BartusiakSean M RothenbergerA J SchwichtenbergEdward J DelpVitaliy L Rayznull nullPublished in: Annals of biomedical engineering (2024)
The results demonstrate generalizability of our 4D flow MRI super-resolution and denoising approach due to network training using flow patches and physics-based constraints. The mDCSRN-Flow network can facilitate MRI studies involving CSF flow measurements in cerebral ventricles and association of MRI-based flow metrics with cerebrovascular health.