Cone-beam computed tomography (CBCT) plays an important role in radiation therapy.
Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms …

Industrial computed tomography (ICT) has emerged as a valuable tool for the conservation
of cultural relics since it enables the extraction of information about the internal structure of …

Objective. This study aims at investigating a novel super resolution CBCT imaging approach
with a dual-layer flat panel detector (DL-FPD). Approach. With DL-FPD, the low-energy and …

Cone-beam computed tomography (CBCT) has been widely used in radiation therapy. For
accurate patient setup and treatment target localization, it is important to obtain high-quality …

Abstract Model-based iterative reconstruction techniques for CT that include a description of
the noise statistics and a physical forward model of the image formation process have …

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 …

Objective: Stimulated Raman projection tomography (SRPT), a recently developed label-
free volumetric chemical imaging technology, has been reported to quantitatively reconstruct …

Projection tomography techniques, such as optical projection tomography and stimulated
Raman projection tomography, can efficiently provide quantitative distributions of …

Aim: The accurate reconstruction of cone-beam computed tomography (CBCT) from sparse
projections is one of the most important areas for study. The compressed sensing theory has …

A Contrast and Attenuation‐map Linearity Improvement (CALI) framework is proposed for
cone‐beam CT (CBCT) images used for brain stereotactic radiosurgery (SRS). The …