What to Expect (and What Not) from Dual-Energy CT Imaging Now and in the Future?

被引:3
|
作者
Garcia-Figueiras, Roberto [1 ]
Oleaga, Laura [2 ]
Broncano, Jordi [3 ]
Tardaguila, Gonzalo [4 ]
Fernandez-Perez, Gabriel [5 ]
Vano, Eliseo [6 ]
Santos-Armentia, Eloisa [4 ]
Mendez, Ramiro [6 ,7 ]
Luna, Antonio [3 ]
Baleato-Gonzalez, Sandra [1 ]
机构
[1] Hosp Clin Univ Santiago, Dept Radiol, Santiago De Compostela 15706, Spain
[2] Hosp Clin Barcelona, Dept Radiol, C Villarroel 170, Barcelona 08036, Spain
[3] HT Med, Cordoba 14012, Spain
[4] Hosp Ribera Povisa, Dept Radiol, Rua Salamanca 5, Vigo 36211, Pontevedra, Spain
[5] Grp Recoletas, Valladolid 47007, Spain
[6] Hosp Univ Nuestra Senora, Dept Radiol, C Principe Vergara 53, Madrid 28006, Spain
[7] Hosp Univ Clin San Carlos, Dept Radiol, Calle Prof Martin Lagos, Madrid 28040, Spain
关键词
computed tomography; dual-energy CT; iodine map; material; TOMOGRAPHY PHYSICAL PRINCIPLES; COMPUTED-TOMOGRAPHY; IODINE QUANTIFICATION; GASTRIC-CANCER; PREDICTION; LESIONS; PERFUSION; SUBTYPES; SYSTEMS; BENIGN;
D O I
10.3390/jimaging10070154
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
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.
引用
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页数:30
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