Noise Texture Deviation: A Measure for Quantifying Artifacts in Computed Tomography Images With Iterative Reconstructions release_lfjj4a7wtnb4zc6vcq2idsttem

by Fabian Morsbach, Lotus Desbiolles, Rainer Raupach, Sebastian Leschka, Bernhard Schmidt, Hatem Alkadhi

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Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms
Luuk J. Oostveen, Frederick J. A. Meijer, Frank de Lange, Ewoud J. Smit, Sjoert A. Pegge, Stefan C. A. Steens, Martin J. van Amerongen, Mathias Prokop (+ more)
2021   European Radiology
doi:10.1007/s00330-020-07668-x  pmid:33693996 
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Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
Rafał Obuchowicz, Adam Piórkowski, Andrzej Urbanik, Michał Strzelecki
2019   BioMed Research International
doi:10.1155/2019/3706581  pmcid:PMC6886329  pmid:31828100 
web.archive.org [PDF]