A two-stage reconstruction of fluorescence molecular tomography based on sparse regularization.
Jingxing ChengYuqing HouJingjing YuXiaowei HePublished in: EMBC (2013)
Keyphrases
- image reconstruction
- compressed sensing
- tomographic reconstruction
- inverse problems
- discrete tomography
- compressive sensing
- limited angle
- signal reconstruction
- reconstructed image
- three dimensional
- structured sparsity
- sparsity regularization
- mixed norm
- image analysis
- regularized least squares
- elastic net
- iterative reconstruction
- reconstruction method
- sparse representation
- random projections
- sparse data
- sparse coding
- regularization methods
- high dimensional
- image processing
- sparsely sampled
- rank minimization
- sparsity constraints
- super resolution
- reconstruction process
- sparse approximation
- radon transform
- sparse reconstruction
- drug discovery
- binary matrices
- phase unwrapping
- linear combination
- dictionary learning