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

In recent years, technological advances have allowed manufacturers to implement dual-
energy computed tomography (DECT) on clinical scanners. With its unique ability to …

Purpose We aimed to thoroughly characterize image quality of a novel deep learning image
reconstruction (DLIR), and investigate its potential for dose reduction in abdominal CT in …

Purpose To investigate whether the image quality of a specific deep learning-based
synthetic CT (sCT) of the cervical spine is noninferior to conventional CT. Method Paired …

Objectives To create an adaptable and global approach for optimizing MDCT protocols by
evaluating the influence of acquisition parameters and Iterative Reconstruction (IR) on dose …

The state of the art to describe image quality in medical imaging is to assess the
performance of an observer conducting a task of clinical interest. This can be done by using …

Objectives The goals of this article are to describe the various types of interbody grafts and
anterior cervical plating systems, techniques for optimizing evaluation of cervical spine …

Purpose To compare the diagnostic performance of multi-detector CT arthrography (CTA)
and 1.5-T MR arthrography (MRA) in detecting hyaline cartilage lesions of the shoulder, with …

OBJECTIVE. Radiation exposure from CT examinations should be reduced to a minimum in
children. Iterative reconstruction (IR) is a method to reduce image noise that can be used to …

Objectives To evaluate the diagnostic accuracy of multidetector CT (MDCT) for detection of
lumbar disc herniation with MRI as standard of reference. Methods Patients with low back …