X-ray computed tomography (CT) is a non-destructive technique that offers a 3D insight into
the microstructure of thick (opaque) samples with virtually no preliminary sample …

The classic imaging geometry for computed tomography is for the collection of un-truncated
projections and the reconstruction of a global image, with the Fourier transform as the …

Although diagnostic medical imaging provides enormous benefits in the early detection and
accuracy diagnosis of various diseases, there are growing concerns on the potential side …

The development of energy selective, photon counting X-ray detectors allows for a wide
range of new possibilities in the area of computed tomographic image formation. Under the …

This paper presents a compressed sensing (CS)-inspired reconstruction method for limited-
angle computed tomography (CT). Currently, CS-inspired CT reconstructions are often …

The recent mathematical concept of compressed sensing (CS) asserts that a small number
of well-chosen measurements can suffice to reconstruct signals that are amenable to sparse …

Statistical image reconstruction using penalized weighted least-squares (PWLS) criteria can
improve image-quality in X-ray computed tomography (CT). However, the huge dynamic …

This paper proposes a deep learning-based denoising method for noisy low-dose
computerized tomography (CT) images in the absence of paired training data. The proposed …

New designs of future computed tomography (CT) scanners called sparse-view CT and
interior CT have been considered in the CT community. Since these CTs measure only …

In order to reduce the radiation dose of the X-ray computed tomography (CT), low-dose CT
has drawn much attention in both clinical and industrial fields. A fractional order model …