Colorectal cancer (CRC) remains the secondleading cause of cancer death, despite the fact
that it is readily preventable via screen detection (and removal) of clinically relevant polyps …

OBJECTIVE. The objective of our study was to assess the effect of the combination of deep
learning–based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung …

Colorectal cancer (CRC) is the most common gastrointestinal neoplasm and the second
most common cause for cancer-related death in Europe. Imaging plays an important role …

Objectives To prospectively compare the diagnostic performance of reduced-dose (RD)
contrast-enhanced CT (CECT) with standard-dose (SD) CECT for detection of low-contrast …

Purpose The aim of this feasibility study was to evaluate the diagnostic accuracy of ultra-low-
dose CT colonography using iterative reconstruction algorithms with reference to standard …

Objective To assess the radiation dose and image quality of ultra‐low dose (ULD)‐CT
colonography (CTC) obtained with the combined use of automatic tube current (mA s) …

The aim of this study was to assess the effects of reconstruction on the image quality and
quantitative analysis for interstitial lung disease (ILD) using filtered back projection (FBP) …

Objectives To assess the feasibility of ultra-low dose computed tomography colonography
(CTC) using knowledge-based iterative reconstruction (IR) and to determine its effect on …

Rationale and Objectives To assess the effect of model-based iterative reconstruction
(MBIR) on image quality and diagnostic performance of low-radiation-dose computed …

Objective To assess image quality of filtered back-projection (FBP) and model-based
iterative reconstruction (MBIR) with a conventional setting and a new lung-specific setting on …