Dual-energy computed tomography (DECT) is a powerful imaging modality with diverse clinical applications. Unlike conventional CT, DECT acquires images at 2 energy levels to precisely identify and quantify various tissue types. There are several DECT acquisition techniques, each with distinct advantages and disadvantages related to radiation dose, image quality, and other considerations. Material decomposition algorithms are applied to DECT imaging data to separate tissues into their constituent components such as iodine, calcium, or uric acid. Postprocessing techniques generate specialized images and quantitative maps by adjusting the attenuation of each component. For example, removing the attenuation from iodine generates virtual noncontrast images. Material-specific maps, such as uric acid or gout maps, overlay a material’s specific attenuation on a standard CT scan to map their distribution. DECT improves everyday interpretation as hypervascular lesions can be more easily identified, contrast enhancement can be determined on a single postcontrast acquisition, imaging artifacts can be reduced, and noncontrast scans can be generated without additional radiation to patients.
- Book : 48(1)
- Pub. Date : 2025
- Page : pp.1-7
- Keyword :