31 citations · 76 across the 9 of their papers we have counts for
9 papers
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu, Alessandro Perelli
In this work, we present a novel self-supervised method for Low Dose Computed Tomography (LDCT) reconstruction. Reducing the radiation dose to patients during a CT scan is a crucia…
Uconnect: Synergistic Spectral CT Reconstruction with U-Nets Connecting the Energy bins
Zhihan Wang, Alexandre Bousse, Franck Vermet +5
Spectral computed tomography (CT) offers the possibility to reconstruct attenuation images at different energy levels, which can be then used for material decomposition. However, t…
Systematic Review on Learning-based Spectral CT
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Simon Rit +5
Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two main for…
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…
Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source
Jonathan H. Mason, Alessandro Perelli, William H. Nailon +1
Quantifying material mass and electron density from computed tomography (CT) reconstructions can be highly valuable in certain medical practices, such as radiation therapy planning…
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?
Jonathan Mason, Alessandro Perelli, William Nailon +1
Due to its wide field of view, cone-beam computed tomography (CBCT) is plagued by large amounts of scatter, where attenuated photons hit the detector, and corrupt the linear models…
Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing
Alessandro Perelli, Michael Lexa, Ali Can +1
X-ray Computed Tomography (CT) reconstruction from a sparse number of views is a useful way to reduce either the radiation dose or the acquisition time, for example in fixed-gantry…