Impact of a Deep Learning-based Super-resolution Image Reconstruction Technique on High-contrast Computed Tomography: A Phantom Study

High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses

(2022) Wanjiang Li et al.   EUROPEAN RADIOLOGY

Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography

(2021) Dominik C. Benz et al.   EUROPEAN RADIOLOGY

Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT

(2020) Ramandeep Singh et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Deep learning–based image restoration algorithm for coronary CT angiography

(2019) Fuminari Tatsugami et al.   EUROPEAN RADIOLOGY

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

(2019) Motonori Akagi et al.   EUROPEAN RADIOLOGY

Ultra-High-Resolution Computed Tomography Angiography for Assessment of Coronary Artery Stenosis

(2018) Sadako Motoyama et al.   CIRCULATION JOURNAL

Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiography

(2018) Hidenobu Takagi et al.   EUROPEAN JOURNAL OF RADIOLOGY

The feasibility of Forward-projected model-based Iterative Reconstruction SoluTion (FIRST) for coronary 320-row computed tomography angiography: A pilot study

(2017) Eriko Maeda et al.   Journal of Cardiovascular Computed Tomography

Incremental prognostic value of coronary computed tomographic angiography high-risk plaque characteristics in newly symptomatic patients

(2016) Shinichiro Fujimoto et al.   Journal of Cardiology

Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging

(2015) Takeshi Nakaura et al.   NEURORADIOLOGY

State of the Art: Iterative CT Reconstruction Techniques

(2015) Lucas L. Geyer et al.   RADIOLOGY

Diagnostic Performance of Noninvasive Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography in Suspected Coronary Artery Disease

(2014) Bjarne L. Nørgaard et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Assessment of the dose reduction potential of a model-based iterative reconstruction algorithm using a task-based performance metrology

(2014) Ehsan Samei et al.   MEDICAL PHYSICS

Model-based Iterative Reconstruction for Multi–Detector Row CT Assessment of the Adamkiewicz Artery

(2013) Junko Nishida et al.   RADIOLOGY

Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms

(2012) Samuel Richard et al.   MEDICAL PHYSICS

Iterative reconstruction methods in X-ray CT

(2012) Marcel Beister et al.   Physica Medica-European Journal of Medical Physics

Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and a Model-based Iterative Reconstruction in Abdominal CT: An Experimental Clinical Study

(2012) Zsuzsanna Deák et al.   RADIOLOGY

Adaptive Iterative Dose Reduction in coronary CT angiography using 320-row CT: Assessment of radiation dose reduction and image quality

(2012) Nobuo Tomizawa et al.   Journal of Cardiovascular Computed Tomography

Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique—comparison with traditional filtered back projection

(2011) Antonio Moscariello et al.   EUROPEAN RADIOLOGY

Diagnosis of Ischemia-Causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms

(2011) Bon-Kwon Koo et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Adaptive Statistical Iterative Reconstruction: Assessment of Image Noise and Image Quality in Coronary CT Angiography

(2010) Jonathon Leipsic et al.   AMERICAN JOURNAL OF ROENTGENOLOGY