Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have
become a clinically viable option in computed tomographic (CT) imaging. Substantial …

Iterative reconstruction (IR) algorithms are the most widely used CT noise-reduction method
to improve image quality and have greatly facilitated radiation dose reduction within the …

Model-based reconstruction is a powerful framework for solving a variety of inverse
problems in imaging. In recent years, enormous progress has been made in the problem of …

Many material and biological samples in scientific imaging are characterized by nonlocal
repeating structures. These are studied using scanning electron microscopy and electron …

Computed tomography (CT) is an imaging test that is widely used worldwide to establish
medical diagnoses and perform image-guided interventions. More recently, concern has …

The advent of computed tomography (CT) has revolutionized radiology. Starting as head-
only scanners, modern CT systems are now capable of performing whole-body …

Over the past two decades, rapid system and hardware development of x-ray computed
tomography (CT) technologies has been accompanied by equally exciting advances in …

The theory of task-based assessment of image quality is reviewed in the context of imaging
with ionizing radiation, and objective figures of merit (FOMs) for image quality are …

Dual-energy X-ray CT (DECT) has the potential to improve contrast and reduce artifacts as
compared to traditional CT. Moreover, by applying model-based iterative reconstruction …

Objectives The purpose of this study was to assess the image quality of half-dose (HD) liver
computed tomography (CT) using a model-based iterative reconstruction algorithm (MBIR) …