Conditional generative adversarial network for 3D rigid-body motion correction in MRI.

Published in: Magnetic resonance in medicine (2019)

The images predicted by the conditional generative adversarial network have quantitatively and qualitatively improved image quality compared to the motion-corrupted images.

Keyphrases

image quality
deep learning
convolutional neural network
computed tomography
optical coherence tomography
magnetic resonance imaging
high speed
contrast enhanced
diffusion weighted imaging
high resolution
network analysis