Joint T1 and T2 Mapping With Tiny Dictionaries and Subspace-Constrained Reconstruction.
Volkert RoeloffsMartin UeckerJens FrahmPublished in: IEEE Trans. Medical Imaging (2020)
Keyphrases
- feature space
- sparse representation
- joint optimization
- subspace learning
- three dimensional
- reconstruction error
- image reconstruction
- brain mapping
- principal component analysis
- neural network
- single image super resolution
- compressive sensing
- high dimensional data
- low dimensional
- subspace clustering
- dimensionality reduction
- high resolution
- compressed sensing
- image processing
- tomographic reconstruction
- input data
- covariance matrix
- clustering algorithm
- affine camera
- feature selection
- data sets
- clustering high dimensional data