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 …

The aim of this study was to characterize image quality and to determine the optimal strength
levels of a novel iterative reconstruction algorithm (quantum iterative reconstruction, QIR) for …

Despite extensive research in dual-energy computed tomography (CT), single-energy CT
(SECT) is still the standard imaging modality in proton therapy treatment planning and, in …

Although low-dose CT imaging has attracted a great interest due to its reduced radiation risk
to the patients, it suffers from severe and complex noise. Recent fully-supervised methods …

Purpose Spectral CT using a dual layer detector offers the possibility of retrospectively
introducing spectral information to conventional CT images. In theory, the dual‐layer …

The purpose of this work is to present a body size and tube voltage dependent correction
scheme for the Hounsfield Unit, HU, in medical X-ray Computed Tomography imaging …

Lung cancer is the most common cause of cancer-related death, and early detection can
reduce the mortality rate. Patients with lung nodules greater than 10 mm usually undergo a …

Purpose: To analyze the image quality of a novel, state-of-the art platform for CBCT image-
guided spine surgery, focusing particularly on the dose–effectiveness compared with …

Abstract Purpose A Monte Carlo (MC) modeling of single axial and helical CT scan modes
has been developed to compute single and accumulated dose distributions. The radiation …

Purpose Percutaneous needle insertion procedures are commonly used for diagnostic and
therapeutic purposes. Although current technology allows accurate localization of lesions …