MC2 -Net: motion correction network for multi-contrast brain MRI.

Jongyeon Lee Byungjai Kim Hyun Wook Park

Published in: Magnetic resonance in medicine (2021)

A deep learning-based motion correction method for multi-contrast MRI was successfully developed, and experimental results demonstrate the validity of the proposed method.

Keyphrases

contrast enhanced
magnetic resonance imaging
deep learning
magnetic resonance
diffusion weighted imaging
computed tomography
high speed
white matter
resting state
machine learning
convolutional neural network
cerebral ischemia
multiple sclerosis
functional connectivity
subarachnoid hemorrhage
blood brain barrier