Impact of a prototype, dedicated AI-based spectral image reconstruction algorithm on the quality of low-keV virtual monoenergetic images and iodine maps: A phantom study. [PDF]
Greffier J +6 more
europepmc +1 more source
The potential of high-Z contrast media for vessel visualization near metal implants: a photon-counting detector CT phantom study with virtual monoenergetic images and iterative metal artifact reduction. [PDF]
Klambauer K +10 more
europepmc +1 more source
Dual-Layer Spectral CT of Pancreas Ductal Adenocarcinoma: Can Virtual Monoenergetic Images of the Portal Venous Phase Be an Alternative to the Pancreatic-Phase Scan? [PDF]
Han YE +7 more
europepmc +1 more source
Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability. [PDF]
Zhong J +12 more
europepmc +1 more source
A nomogram based on dual-layer spectral detector CT-derived 40KeV virtual monoenergetic images for preoperative prediction of simultaneous distant metastasis in colorectal cancer. [PDF]
Sun Q, Bian X, Feng F, Chen S, Chen G.
europepmc +1 more source
Dual-energy CT with virtual monoenergetic images and iodine maps improves tumor conspicuity in patients with pancreatic ductal adenocarcinoma. [PDF]
Liang H +9 more
europepmc +1 more source
Novel silicon-based material decomposition images in diagnosis of pancreatic ductal adenocarcinoma: comparison with iodine-based and 50-keV virtual monoenergetic images. [PDF]
Noda Y +12 more
europepmc +1 more source
Radiomics based on dual-energy CT virtual monoenergetic images to identify symptomatic carotid plaques: a multicenter study. [PDF]
Hu W +15 more
europepmc +1 more source
Reduction of artifacts from contrast media in spectral-detector CT by combined use of virtual monoenergetic images and orthopedic metal-artifact-reduction algorithm. [PDF]
Pan N, Liu J, Wang S, Miao Z.
europepmc +1 more source
Comparison of image quality in 40 keV virtual monoenergetic images of dual-energy CT pulmonary angiography using deep learning and iterative reconstruction algorithms under optimized low dose scanning protocols. [PDF]
Zhang D +13 more
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