Statistical image reconstruction (SIR) methods have shown potential to substantially improve
the image quality of low‐dose x‐ray computed tomography (CT) as compared to the …

By providing fast scanning with low radiation doses, sparse-view (or sparse-projection)
reconstruction has attracted much research attention in X-ray computerized tomography …

Objectives Adaptive steepest descent projection onto convex sets (ASD-POCS) algorithms
with Lp-norm (0< p≤ 1) regularization have shown great promise in sparse-view X-ray CT …

Projection and back-projection are the most computationally intensive parts in Computed
Tomography (CT) reconstruction, and are essential to acceleration of CT reconstruction …

Objective. Recently, there have been many advancements in deep unrolling methods for
sparse-view computed tomography (SVCT) reconstruction. These methods combine model …

Background Projection tomography (PT) is a very important and valuable method for fast
volumetric imaging with isotropic spatial resolution. Sparse-view or limited-angle …

Reducing the radiation in computerized tomography is today a major concern in radiology.
Low dose computerized tomography (LDCT) offers a sound way to deal with this problem …

Statistical image reconstruction (SIR) methods have shown potential to substantially improve
the image quality of low-dose X-ray computed tomography (CT) as compared to the …

This paper deals with the 3D reconstruction of sparse data in X-ray rotational imaging. Due
to the cardiac motion, the number of available projections for this reconstruction is equal to …

A variational Bayesian blind restoration reconstruction based on shear wave transform for
low-dose medical computed tomography (CT) image is proposed. The proposed algorithm …