Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction
Samuel L. Brady, Andrew T. Trout, Elanchezhian Somasundaram, Christopher G. Anton, Yinan Li, Jonathan R. Dillman
Abstract
< .001). Radiologists consistently preferred DLR images (intraclass correlation coefficient, 0.89; 95% CI: 0.83, 0.93). DLR demonstrated 52% (1 of 2.1) greater dose reduction than SBIR. Conclusion The DLR algorithm improved image quality and dose reduction without sacrificing noise texture and spatial resolution. © RSNA, 2020
Topics & Concepts
MedicineImage qualityIterative reconstructionRadon transformNuclear medicineImage noiseArtificial intelligenceNoise reductionRadiation doseRadiologyComputer visionImage (mathematics)Computer scienceRadiation Dose and ImagingAdvanced X-ray and CT ImagingRadiology practices and education