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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

2020American Journal of Roentgenology48 citationsDOI

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
Combination of Deep Learning–Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation | Litcius