Curvelets as a sparse basis for compressed sensing magnetic resonance imaging.
David S. SmithLori R. ArlinghausThomas E. YankeelovEdward B. WelchPublished in: Medical Imaging: Image Processing (2013)
Keyphrases
- compressed sensing
- magnetic resonance imaging
- image reconstruction
- medical images
- mri data
- random projections
- sparse representation
- mri images
- medical imaging
- natural images
- compressive sampling
- signal processing
- signal recovery
- orthogonal matching pursuit
- compressive sensing
- fourier domain
- image processing
- multiscale
- feature set
- total variation
- dimensionality reduction
- radon transform
- motion estimation
- multiresolution
- computer vision