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Super-Resolution Head and Neck MRA Using Deep Machine Learning

PURPOSE: To probe the feasibility of deep learning-based super-resolution (SR) reconstruction applied to nonenhanced magnetic resonance angiography (MRA) of the head and neck. METHODS: High-resolution 3D thin-slab stack-of-stars quiescent interval slice selective (QISS) MRA of the head and neck was...

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Bibliografski detalji
Izdano u:Magn Reson Med
Glavni autori: Koktzoglou, Ioannis, Huang, Rong, Ankenbrandt, William J., Walker, Matthew T., Edelman, Robert R.
Format: Artigo
Jezik:Inglês
Izdano: 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8034362/
https://ncbi.nlm.nih.gov/pubmed/33619802
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28738
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