Exploring the impact of super-resolution deep learning on MR angiography image quality.

Masamichi HokamuraHiroyuki UetaniTakeshi NakauraKensei MatsuoKosuke MoritaYasunori NagayamaMasafumi KidohYuichi YamashitaMitsuharu UedaAkitake MukasaToshinori Hirai

Published in: Neuroradiology (2023)

SR-DLR with k-space properties can offer the benefits of increased spatial resolution without the associated drawbacks of longer scan times and reduced SNR and CNR in intracranial MRA.

Keyphrases

image quality
computed tomography
contrast enhanced
deep learning
dual energy
magnetic resonance imaging
artificial intelligence
convolutional neural network
optical coherence tomography
optic nerve
single molecule
machine learning