Hepatocellular carcinoma (HCC) is the sixth-most common cancer in the world, and hepatic
dynamic CT studies are routinely performed for its evaluation. Ongoing studies are …

Iterative reconstruction (IR) algorithms are the most widely used CT noise-reduction method
to improve image quality and have greatly facilitated radiation dose reduction within the …

Background An iterative reconstruction (IR) algorithm was introduced for clinical photon-
counting detector (PCD) CT. Purpose To investigate the image quality and the optimal …

Purpose To characterize the noise and spatial resolution properties of a commercially
available deep learning‐based computed tomography (CT) reconstruction algorithm …

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 …

Background Accurate CT attenuation and diagnostic quality of virtual noncontrast (VNC)
images acquired with photon-counting detector (PCD) CT are needed to replace true …

Optimizing the CT acquisition parameters to obtain diagnostic image quality at the lowest
possible radiation dose is crucial in the radiosensitive pediatric population. The image …

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 …

Innovations in CT have been impressive among imaging and medical technologies in both
the hardware and software domain. The range and speed of CT scanning improved from the …

Purpose To evaluate the usefulness of the deep learning image reconstruction (DLIR) to
enhance the image quality of abdominal CT, compared to iterative reconstruction technique …