Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach.
Yoseob HanKyong Hwan JinKyung Sang KimJong Chul YePublished in: ISBI (2016)
Keyphrases
- x ray
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- nuclear norm
- computer tomography
- tomographic images
- projection images
- binary matrices
- discrete tomography
- cone beam
- matrix decomposition
- three dimensional
- convex optimization
- missing data
- low rank approximation
- matrix completion
- ct scans
- singular value decomposition
- filtered back projection
- x ray images
- linear combination
- medical imaging
- binary matrix
- matrix factorization
- intraoperative
- high order
- low rank and sparse
- trace norm
- semi supervised
- sparse matrix
- fluoroscopic images
- fan beam
- singular values
- high dimensional data
- compressive sensing
- image reconstruction
- radiation dose
- data matrix
- dual energy
- spectral analysis
- high dimensional
- computed tomography
- multiple views
- pre operative
- ct data
- sparse representation
- least squares
- ct volume
- nearest neighbor
- high resolution