ReviewQuantitative imaging in medicine and surgery2021
Noise-optimized virtual monoenergetic imaging technology of the third-generation dual-source computed tomography and its clinical applications.
Review in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 25 citations in OpenAlex.
- Carotid atherosclerotic plaque characterization using dual-energy computed tomography angiography and its correlation with cerebral ischemic stroke.Quantitative imaging in medicine and surgery · 2026Article
- Application of 50-keV virtual monochromatic imaging combined with a personalized contrast agent protocol in computed tomography pulmonary angiography: a randomized controlled trial.Quantitative imaging in medicine and surgery · 2026Article
- Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications.Tomography (Ann Arbor, Mich.) · 2026Review
- Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning.Physical and engineering sciences in medicine · 2025Article
- Diagnosis of acute pulmonary embolism: when photon-counting-detector CT replaces energy-integrating-detector CT in daily routine.European radiology · 2024Article
- Quantitative parameters of dual-layer spectral detector computed tomography for evaluating Ki-67 and human epidermal growth factor receptor 2 expression in colorectal adenocarcinoma.Quantitative imaging in medicine and surgery · 2024Article
- Review of Clinical Applications of Dual-Energy CT in Patients after Endovascular Aortic Repair.Journal of clinical medicine · 2023Review
- An Intra-Individual Comparison of Low-keV Photon-Counting CT versus Energy-Integrating-Detector CT Angiography of the Aorta.Diagnostics (Basel, Switzerland) · 2023Article
- The evolution and current situation in the application of dual-energy computed tomography: a bibliometric study.Quantitative imaging in medicine and surgery · 2023Article
- Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging.Diagnostics (Basel, Switzerland) · 2023Review
- Improving visualization of free fibula flap perforators and reducing radiation dose in dual-energy CT angiography.Quantitative imaging in medicine and surgery · 2023Article
- Dual-energy computed tomography in reducing the effective radiation dose of computed tomography urography in patients with urinary calculi.Quantitative imaging in medicine and surgery · 2023Article
- Impact of Photon Counting Detector CT Derived Virtual Monoenergetic Images on the Diagnosis of Pulmonary Embolism.Diagnostics (Basel, Switzerland) · 2022Article
- Dual-Energy CT of the Heart: A Review.Journal of imaging · 2022Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The third-generation dual-source computed tomography (DSCT) is among the most advanced imaging methods. It employs noise-optimized virtual monoenergetic imaging (VMI+) technology. It uses the frequency-split method to extract high-contrast image information from low-energy images and low-noise information from images reconstructed at an optimal energy level, combining them to obtain the final image with improved quality. This review is the first to summarize the results of clinical studies that primarily and recently evaluated the VMI+ technique based on tumor, blood vessel, and other lesion classification. We aim to assist radiologists in quickly selecting the appropriate energy level when performing image reconstruction for superior image quality in clinical work and providing several ideas for future scientific research of the VMI+ technique. Presently, VMI+ reconstruction is mostly used for images of various tumors or blood vessels, including coronary plaques, coronary stents, deep vein thromboses, pulmonary embolisms (PEs), active arterial hemorrhages, and endoleaks after endovascular aneurysm repair. In addition, VMI+ has been used for imaging children's heads, liver lesions, pancreatic lacerations, and reducing metal artifacts. Regarding the reconstruction at the optimal energy level, the VMI+ technique yielded a higher image quality than the pre-optimized virtual monoenergetic imaging (VMI) technique and single-energy CT. Moreover, either low concentrations of contrast medium or low iodine injection rates can be applied before VMI+ reconstruction at a low-energy level to reduce contrast agent-related kidney injury risk. After reconstructing an image at the optimal energy level, both the image's window width and level can also be adjusted to improve the image effect's reach and diagnosis suitability. To improve image quality and lesion-imaging clarity and reduce the use of contrast agents, VMI+ reconstruction technology has been applied clinically, in which the selection of energy level is the key to the whole reconstruction process. Our review summarizes these optimal levels for radiologists' reference and suggests new ideas for the direction of future VMI+ research.
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