Further Development of Subspace Imaging to Magnetic Resonance Fingerprinting: A Low-rank Tensor Approach.
Bo ZhaoKawin SetsompopDavid H. SalatLawrence L. WaldPublished in: EMBC (2020)
Keyphrases
- magnetic resonance
- low rank
- mr images
- trace norm
- mr imaging
- rank minimization
- low rank representation
- high dimensional data
- high order
- medical images
- positron emission tomography
- matrix factorization
- missing data
- image data
- cardiac motion
- matrix completion
- convex optimization
- tensor decomposition
- brain images
- image registration
- linear combination
- affinity matrix
- low rank matrix
- kernel matrix
- singular value decomposition
- high resolution
- semi supervised
- dimensionality reduction
- image processing
- high dimensional
- nearest neighbor
- medical imaging
- magnetic resonance images
- low dimensional
- computer vision
- principal component analysis
- subspace learning
- higher order
- motion tracking
- x ray
- subspace clustering
- feature space