Spectral computed tomography (CT) imaging encompasses a unique generation of CT
systems based on a simple principle that makes use of the energy-dependent information …

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 …

Spectral CT adds a new dimension to radiological evaluation, beyond assessment of
anatomical abnormalities. Spectral data allows for detection of specific materials, improves …

Objectives To evaluate the usefulness of deep learning image reconstruction (DLIR) to
improve the image quality of dual-energy computed tomography (DECT) of the abdomen …

Virtual non-contrast (VNC) imaging is a post-processing technique generated from contrast-
enhanced scans using dual-energy computed tomography (DECT). It is generated by …

Purpose To assess the potential of material decomposition in dual-energy CT (DECT) to
differentiate intrahepatic cholangiocarcinoma (iCCA) from hepatocellular carcinoma (HCC) …

Background To assess the improvement of image quality and diagnostic acceptance of
thinner slice iodine maps enabled by deep learning image reconstruction (DLIR) in …

Objectives To investigate the effect of deep learning image reconstruction (DLIR) on the
accuracy of iodine quantification and image quality of dual-energy CT (DECT) compared to …

Since their discovery by Wilhelm Conrad Röntgen in 1895, X-rays have become the most
widely available, typically fastest, and usually most cost-effective medical imaging modality …

Objectives To investigate whether the increased soft tissue contrast of virtual monoenergetic
images (VMIs) obtained from a spectral detector computed tomography (SDCT) system …