The first CT scanners in the early 1970s already used iterative reconstruction algorithms;
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …

Objectives To compare the overall image quality and detectability of significant (malignant
and pre-malignant) liver lesions of low-dose liver CT (LDCT, 33.3% dose) using deep …

Background and purpose The use of AI in the process of CT image reconstruction may
improve image quality of resultant images and therefore facilitate low-dose CT …

Purpose The purpose of this study was the evaluation of anthropomorphic model observers
trained with neural networks for the prediction of a human observer's performance. Methods …

Purpose To determine the lowest suitable dose level for the detection of pulmonary
arteriovenous malformation (PAVM) using a task-based image quality assessment. Material …

Purpose To evaluate radiation dose exposure, diagnostic performance, and image quality of
low-dose and ultralow-dose abdominopelvic CT using the advanced modelled iterative …

Purpose To prove the feasibility and measure the diagnostic accuracy of contrast-enhanced
ultra-low-dose CT (ULD-CT) for the depiction of inflammatory soft-tissue changes (synovitis …

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) …

Objectives This study aimed to evaluate the image quality of 7 iterative reconstruction (IR)
algorithms in comparison to filtered back-projection (FBP) algorithm. Methods An …

Background Computed tomography is a standard imaging procedure for the detection of
liver lesions, such as metastases, which can often be small and poorly contrasted, and …