Reconstruction of Undersampled Big Dynamic MRI Data Using Non-Convex Low-Rank and Sparsity Constraints.
Ryan Wen LiuLin ShiSimon Chun-Ho YuNaixue XiongDefeng WangPublished in: Sensors (2017)
Keyphrases
- low rank
- sparsity constraints
- mri data
- convex optimization
- linear combination
- magnetic resonance imaging
- fully automatic
- matrix factorization
- missing data
- kernel matrix
- singular value decomposition
- matrix completion
- high order
- semi supervised
- mr images
- magnetic resonance images
- negative matrix factorization
- sparse representation
- white matter
- dictionary learning
- high dimensional data
- sparse coding
- collaborative filtering
- computer vision
- feature selection
- three dimensional
- recommender systems
- least squares
- medical images
- total variation
- kernel function
- data sets