A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography.
Rey MendozaMinh NguyenJudith Weng ZhuVincent DumontTalita PercianoJuliane MuellerVidya GanapatiPublished in: CoRR (2022)
Keyphrases
- image reconstruction
- compressed sensing
- signal reconstruction
- compressive sensing
- reconstructed image
- iterative reconstruction
- random projections
- reconstruction process
- reconstruction method
- super resolution
- tomographic reconstruction
- sparse data
- high resolution
- natural images
- high dimensional
- computed tomography
- sparse representation
- sparse coding
- back projection
- reconstruction error
- dense correspondences
- binary matrices
- radon transform
- shape recovery
- neural network
- multislice