Abstract Purpose of Review Deep Learning reconstruction (DLR) is the current state-of-the-
art method for CT image formation. Comparisons to existing filter back-projection, iterative …

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

Use of computed tomography (CT) in medicine comes with the responsibility of its
appropriate (wise) and safe (gentle) application to obtain required diagnostic information …

Purpose To assess the dose-normalized iodine contrast-to-noise-ratio (CNRD) improvement
and contrast media reduction potential obtained with photon-counting (PC) CT compared to …

OBJECTIVE. This article discusses the clinical challenge of low-radiation-dose
examinations, the commonly used approaches for dose optimization, and their effect on …

Objectives Iterative reconstruction (IR) allows for dose reduction with maintained image
quality in CT imaging. In this systematic review the reported effective dose reductions for …

Purpose To directly compare the capability of three reconstruction methods using,
respectively, forward projected model-based iterative reconstruction (FIRST), adaptive …

OBJECTIVE. The purpose of this study was to compare submillisievert chest CT images
reconstructed with filtered back projection (FBP), SafeCT, adaptive statistical iterative …

Image classification aims to automatically group a set of images into several categorizations,
which is widely applied in scene categorization, image clustering. Lung cancer recognition …

Cardiothoracic diseases result in substantial morbidity and mortality. Chest computed
tomography (CT) has been an imaging modality of choice for assessing a host of chest …