Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets.
Esben PlengeMitchell A. CooperMartin R. PrinceYi WangPascal SpincemailleMichael EladPublished in: ISBI (2015)
Keyphrases
- sparse representation
- compressed sensing
- compressive sensing
- reconstruction error
- dictionary learning
- sparse reconstruction
- sparse coding
- face recognition
- image reconstruction
- image super resolution
- learned dictionary
- joint optimization
- single image super resolution
- image classification
- random projections
- image patches
- signal processing
- sparsity constraints
- medical images
- high resolution
- high dimensional data
- sparsely sampled
- dimensionality reduction
- negative matrix factorization
- pattern recognition
- piecewise smooth
- magnetic resonance images
- data sets
- reconstructed image
- image representation
- regularized least squares
- norm minimization
- magnetic resonance imaging
- sparse codes
- unsupervised learning
- neural network