Combination of Deep Learning–Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation
Akinori Hata, Masahiro Yanagawa, Yuriko Yoshida, Tomo Miyata, Mitsuko Tsubamoto, Osamu Honda, Noriyuki Tomiyama
Abstract
DLD improved the image quality of both HIR and MBIR on ULDCT. MBIR-DLD was superior to HIR_DLD for image quality and for Lung-RADS evaluation.
Topics & Concepts
MedicineImage qualityRadiologyLungDeep learningIterative reconstructionNuclear medicineComputed tomographyArtificial intelligenceImage (mathematics)Internal medicineComputer scienceMedical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingRadiation Dose and Imaging