8 citations · 12 across the 2 of their papers we have counts for
3 papers
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction
Alessandro Perelli, Suxer Alfonso Garcia, Alexandre Bousse +3
Objective. Dual-energy computed tomography (DECT) has the potential to improve contrast, reduce artifacts and the ability to perform material decomposition in advanced imaging appl…
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition
Alessandro Perelli, Martin S. Andersen
Spectral Computed Tomography (CT) is an emerging technology that enables to estimate the concentration of basis materials within a scanned object by exploiting different photon ene…
Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion
Jonathan H. Mason, Alessandro Perelli, William H. Nailon +1
Scatter can account for large errors in cone-beam CT (CBCT) due to its wide field of view, and its complicated nature makes its compensation difficult. Iterative polyenergetic reco…