Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI.

Sunghun SeoWon-Joon DoHuan Minh LuuKi Hwan KimSeung Hong ChoiSung-Hong Park

Published in: Magnetic resonance in medicine (2019)

Our study introduced a new effective way of artificial neural networks to accelerate SEMAC MRI while maintaining the comparable quality of metal artifact suppression. Application on the preliminary patient datasets proved the feasibility in clinical usage, which warrants further investigation.

Keyphrases

neural network
contrast enhanced
magnetic resonance imaging
image quality
diffusion weighted imaging
case report
computed tomography
dual energy
magnetic resonance
rna seq
quality improvement