A densely interconnected network for deep learning accelerated MRI

Objective To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework. Materials and methods A cascading deep learning reconstruction framework (reference model) was modified by applying three architectural modifications: input-level dense c...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Magma (New York, N.Y.) Jg. 36; H. 1; S. 65 - 77
Hauptverfasser:	Ottesen, Jon André, Caan, Matthan W. A., Groote, Inge Rasmus, Bjørnerud, Atle
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.02.2023
Schlagworte:	Acceleration Basic Science - Reconstruction algorithms and artificial intelligence Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Deep Learning Health Informatics Imaging Magnetic Resonance Imaging Medicine Medicine & Public Health Radiology Research Article Signal-To-Noise Ratio Solid State Physics Deep learning MRI Image reconstruction
ISSN:	1352-8661, 0968-5243, 1352-8661
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!