Noise is inherent to low-dose CT acquisition. We propose to train a convolutional neural
network (CNN) jointly with an adversarial CNN to estimate routine-dose CT images from low …

Rationale and Objectives To describe the rationale, design, and technical background of
coronary artery calcium (CAC) imaging in the large-scale population-based cardiovascular …

Coronary computed tomography (CT) allows for the acquisition of thin slices of the heart and
coronary arteries, which can be used to detect and quantify coronary artery calcium (CAC), a …

To evaluate the performance of photon-counting detector (PCD) computed tomography (CT)
for coronary artery calcium (CAC) score imaging at standard and reduced radiation doses …

Objective The aim of the current study was to systematically assess coronary artery calcium
(CAC) detection and quantification for spectral photon-counting CT (SPCCT) in comparison …

This expert consensus statement from the Society of Cardiovascular Computed Tomography
(SCCT) provides an evidence synthesis on the use of computed tomography (CT) imaging …

Coronary artery calcium (CAC) is a strong predictor for future cardiovascular events.
Traditionally CAC has been quantified using the Agatston score, which was developed in …

Background Volumetric and radiomic analysis of atherosclerotic plaques on coronary CT
angiography have been shown to predict high-risk plaque morphology and to predict patient …

Purpose To determine the effect of model-based iterative reconstruction (IR) on coronary
calcium quantification using different submillisievert CT acquisition protocols. Methods …

Background Coronary artery calcium (CAC) predicts coronary heart disease events and is
important for individualized cardiac risk assessment. This report assesses the interscan …