Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience
Corey T. Jensen, Xinming Liu, Eric P. Tamm, Adam G. Chandler, Jia Sun, Ajaykumar C. Morani, Sanaz Javadi, Nicolaus A. Wagner‐Bartak
Abstract
Compared with 30% ASIR-V, DLIR improved CT evaluation of the abdomen in the portal venous phase. DLIR strength should be chosen to balance the degree of desired denoising for a clinical task relative to mild blurring, which increases with progressively higher DLIR strengths.
Topics & Concepts
MedicineImage qualityDeep learningArtificial intelligenceIterative reconstructionRadiologyAbdominal computed tomographyImage (mathematics)Nuclear medicineMedical physicsComputer scienceRadiation Dose and ImagingAdvanced X-ray and CT ImagingMedical Imaging Techniques and Applications