Advanced virtual monoenergetic imaging algorithm for lower extremity computed tomography angiography: effects on image quality, artifacts, and peripheral arterial disease evaluation [PDF]
PURPOSETo investigate the image quality of lower extremity computed tomography angiography (LE-CTA) using a reconstruction algorithm for monoenergetic images (MEIs) to evaluate peripheral arterial disease (PAD) at different kiloelectron volt (keV) levels.
Jung Han Hwang +7 more
doaj +3 more sources
Improved Coronary Artery Visualization Using Virtual Monoenergetic Imaging from Dual-Layer Spectral Detector CT Angiography [PDF]
Background: To evaluate if coronary CT angiography (CCTA) monoenergetic reconstructions, obtained with a dual-layer spectral detector computed tomography (DLCT) system, offer improved image quality compared with 120 kVp conventional images without ...
Tommaso D’Angelo +12 more
doaj +4 more sources
Low-keV Virtual Monoenergetic Imaging for Bronchial Artery Visualization on Photon-Counting Detector Computed Tomography [PDF]
Background/Objectives: This study aims to determine the optimal use of virtual monoenergetic imaging (VMI) for visualizing the bronchial artery on photon-counting detector computed tomography (PCD-CT).
Xuyang Sun +5 more
doaj +3 more sources
Deep learning methods for virtual monoenergetic imaging from spectral CT
Spectral photon counting computed tomography (CT) is a X-ray imaging modality that acquires energy-resolved data thanks to photon counting detectors that sort photons depending on their energy. This allows to decompose the object into its material constituents or to reconstruct virtual monoenergetic images.
Bussod, Suzanne +5 more
core +12 more sources
Dual energy computed tomography virtual monoenergetic imaging: technique and clinical applications. [PDF]
Dual energy CT (DECT) has evolved into a commonly applied imaging technique in clinical routine due to its unique post-processing opportunities for improved evaluation of all body areas. Reconstruction of virtual monoenergetic imaging (VMI) series has shown beneficial effects for both non-contrast and contrast-enhanced DECT due to the flexibility to ...
D'Angelo T +8 more
europepmc +5 more sources
Study on the combined application of selected virtual monoenergetic imaging, virtual non-contrast imaging, and adaptive statistical iterative reconstruction-V in head and neck CT angiography using 256-slice wide-body CT [PDF]
ObjectiveTo evaluate the value of combining spectral CT-derived virtual monoenergetic imaging, adaptive statistical iterative reconstruction-V (ASIR-V), and virtual non-contrast imaging in head and neck CT angiography (CTA) for patients with ...
Wen Chao Li +6 more
doaj +2 more sources
Photon-Counting Detector CT-Based Virtual Monoenergetic Imaging With Metal Artifact Reduction for Endodontic Diagnostics [PDF]
Introduction: This ex vivo study aimed to determine the optimal energy level for virtual monoenergetic imaging (VMI) using photon-counting detector computed tomography (PCD-CT) and to evaluate the effectiveness of iterative metal artifact reduction (iMAR)
Adib Al-Haj Husain +8 more
doaj +2 more sources
Dual-Energy CT in Cardiothoracic Imaging: Current Developments
This article describes the technical principles and clinical applications of dual-energy computed tomography (DECT) in the context of cardiothoracic imaging with a focus on current developments and techniques.
Leona S. Alizadeh +10 more
doaj +2 more sources
Noise reduction in dual-energy computed tomography virtual monoenergetic imaging. [PDF]
AbstractPurposeVirtual monoenergetic images (VMIs) derived from dual‐energy computed tomography (DECT) have been explored for several clinical applications in recent years. However, VMIs at low and high keVs have high levels of noise. The aim of this study was to reduce image noise in VMIs by using a two‐step noise reduction technique.MethodsVMI was ...
Liu CK, Huang HM.
europepmc +3 more sources
Background: Photon-counting detector (PCD) computed tomography (CT) allows for the reconstruction of virtual monoenergetic images (VMI) at different thresholds.
Daniel Dillinger +6 more
doaj +2 more sources

