Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantification

OBJECTIVES: The aim of this study was to assess the effect of a deep learning (DL)–based reconstruction algorithm on late gadolinium enhancement (LGE) image quality and to evaluate its influence on scar quantification. METHODS: Sixty patients (46 ± 17 years, 50% male) with suspected or known cardiom...

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Detalles Bibliográficos
Autores principales: van der Velde, Nikki, Hassing, H. Carlijne, Bakker, Brendan J., Wielopolski, Piotr A., Lebel, R. Marc, Janich, Martin A., Kardys, Isabella, Budde, Ricardo P. J., Hirsch, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128730/
https://www.ncbi.nlm.nih.gov/pubmed/33219845
http://dx.doi.org/10.1007/s00330-020-07461-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128730/
https://www.ncbi.nlm.nih.gov/pubmed/33219845
http://dx.doi.org/10.1007/s00330-020-07461-w

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