Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition.

Muhammad BilalHaris AnisNajeeb KhanIjaz QureshiJawad ShahKushsairy A Kadir

Published in: BioMed research international (2019)

L+S decomposition provides improved MR images with data binning as preprocessing step in free breathing scenario. Data binning resolves the respiratory motion by dividing different respiratory positions in multiple bins. It also differentiates the respiratory motion and contrast agent (CA) variations. MR images recovered for each bin are better as compared to the method without data binning.

Keyphrases

electronic health record
contrast enhanced
deep learning
magnetic resonance
big data
convolutional neural network
optical coherence tomography
high speed
respiratory tract
machine learning
high resolution