AI Article Synopsis
- - Dual-energy CT (DECT) enhances traditional CT imaging by providing multiple datasets from different energy levels, which improves material differentiation and diagnostic accuracy.
- - Despite its advantages, DECT is underutilized due to complex workflows and technical limitations that can hinder its effectiveness in clinical settings.
- - This paper aims to explore the fundamentals of DECT, its clinical benefits and challenges, and innovative applications like artificial intelligence and radiomics that could advance its use.
Article Abstract
Dual-energy CT (DECT) imaging has broadened the potential of CT imaging by offering multiple postprocessing datasets with a single acquisition at more than one energy level. DECT shows profound capabilities to improve diagnosis based on its superior material differentiation and its quantitative value. However, the potential of dual-energy imaging remains relatively untapped, possibly due to its intricate workflow and the intrinsic technical limitations of DECT. Knowing the clinical advantages of dual-energy imaging and recognizing its limitations and pitfalls is necessary for an appropriate clinical use. The aims of this paper are to review the physical and technical bases of DECT acquisition and analysis, to discuss the advantages and limitations of DECT in different clinical scenarios, to review the technical constraints in material labeling and quantification, and to evaluate the cutting-edge applications of DECT imaging, including artificial intelligence, qualitative and quantitative imaging biomarkers, and DECT-derived radiomics and radiogenomics.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11278514 | PMC |
| http://dx.doi.org/10.3390/jimaging10070154 | DOI Listing |
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