Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images

PURPOSE: To develop and characterize an algorithm that mimics human expert visual assessment to quantitatively determine the quality of three-dimensional (3D) whole-heart MR images. MATERIALS AND METHODS: In this study, 3D whole-heart cardiac MRI scans from 424 participants (average age, 57 years ±...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Piccini, Davide, Demesmaeker, Robin, Heerfordt, John, Yerly, Jérôme, Di Sopra, Lorenzo, Masci, Pier Giorgio, Schwitter, Juerg, Van De Ville, Dimitri, Richiardi, Jonas, Kober, Tobias, Stuber, Matthias
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2020
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082371/
https://ncbi.nlm.nih.gov/pubmed/33937825
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190123
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