Slab boundary artifact correction in multislab imaging using convolutional-neural-network-enabled inversion for slab profile encoding.

Jieying ZhangSimin LiuErpeng DaiXinyu YeDiwei ShiYuhsuan WuJie LuHua Guo

Published in: Magnetic resonance in medicine (2021)

CNN-enabled inversion for slab profile encoding can reduce the slab boundary artifacts in multislab acquisitions. It shows better slab boundary artifact correction capacity, higher robustness, and computation efficiency when compared with NPEN. It has the potential to improve the accuracy of multislab acquisitions in high-resolution DWI and functional MRI.

Keyphrases

convolutional neural network
high resolution
contrast enhanced
deep learning
diffusion weighted
diffusion weighted imaging
magnetic resonance imaging
computed tomography
machine learning
risk assessment