Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen

ConclusionsDLIR improves vessel conspicuity, CNR, and lesion conspicuity of virtual monochromatic and iodine density images in abdominal contrast-enhanced DECT, compared to hybrid IR.Key Points• Deep learning image reconstruction (DLIR) is useful for reducing image noise and improving the CNR of visual monochromatic 40-, 50-, and 70-keV images in dual-energy CT.• DLIR can improve lesion conspicuity of abdominal solid lesions on virtual monochromatic images compared to hybrid iterative reconstruction.• DLIR can also be applied to iodine density maps and significantly improves their image quality.
Source: European Radiology - Category: Radiology Source Type: research