32 citations · 40 across the 6 of their papers we have counts for
4 papers · 1 filter
A Global Constraint to Improve CT Reconstruction Under Non-Ideal Conditions
Ziyu Shu, Alireza Entezari
Background and Objective: The strong demand for medical imaging applications leads to the popularity of the CT reconstruction problem. Researchers proposed multiple constraints to…
Residual Back Projection With Untrained Neural Networks
Ziyu Shu, Alireza Entezari
Background and Objective: The success of neural networks in a number of image processing tasks has motivated their application in image reconstruction problems in computed tomograp…
Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction
Ziyu Shu, Alireza Entezari
The key aspect of parallel-beam X-ray CT is forward and back projection, but its computational burden continues to be an obstacle for applications. We propose a method to improve t…
A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry
Kai Zhang, Alireza Entezari
Iterative methods for tomographic image reconstruction have great potential for enabling high quality imaging from low-dose projection data. The computational burden of iterative r…