A residual CNN, adapted from a spatial super-resolution network, temporally upsamples 4D Flow MRI by 2x with lower error than linear or sinc interpolation and generalizes to in-vivo data.
Cerebrovascu- lar super-resolution 4D Flow MRI-using deep learning to non-invasively quantify velocity, flow, and relative pressure Cerebrovascular super-resolution 4D Flow MRI
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Deep learning for temporal super-resolution 4D Flow MRI
A residual CNN, adapted from a spatial super-resolution network, temporally upsamples 4D Flow MRI by 2x with lower error than linear or sinc interpolation and generalizes to in-vivo data.