Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction
Luuk J. Oostveen, Ewoud J. Smit, Helena M. Dekker, Constantinus F. M. Buckens, Sjoert Pegge, Frank de Lange, Ioannis Sechopoulos, Mathias Prokop
Abstract
Although further diagnostic performance studies are warranted, the findings suggest the possibility of replacing current use of both thin- and thick-section HIR with the use of thin-section DLR only during clinical interpretations.
Topics & Concepts
MedicineArtificial intelligenceImage qualityDeep learningQuality (philosophy)RadiologyComputer visionMedical physicsNuclear medicineImage (mathematics)EpistemologyPhilosophyComputer scienceRadiomics and Machine Learning in Medical ImagingRadiation Dose and ImagingMedical Imaging and Analysis