Automated image quality assessment for selecting among multiple magnetic resonance image acquisitions in the German National Cohort study

Abstract In magnetic resonance imaging (MRI), the perception of substandard image quality may prompt repetition of the respective image acquisition protocol. Subsequently selecting the preferred high-quality image data from a series of acquisitions can be challenging. An automated workflow may facil...

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Detalhes bibliográficos

Principais autores:	Christopher Schuppert, Susanne Rospleszcz, Jochen G. Hirsch, Daniel C. Hoinkiss, Alexander Köhn, Ricarda von Krüchten, Maximilian F. Russe, Thomas Keil, Lilian Krist, Börge Schmidt, Karin B. Michels, Sabine Schipf, Hermann Brenner, Thomas J. Kröncke, Tobias Pischon, Thoralf Niendorf, Jeanette Schulz-Menger, Michael Forsting, Henry Völzke, Norbert Hosten, Robin Bülow, Maxim Zaitsev, Hans-Ulrich Kauczor, Fabian Bamberg, Matthias Günther, Christopher L. Schlett
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2023-12-01
coleção:	Scientific Reports
Acesso em linha:	https://doi.org/10.1038/s41598-023-49569-1
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