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Training deep learning based dynamic MR image reconstruction using open-source natural videos

Abstract To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from publicly available natural videos (Inter4K). Learning was performed for a range of DL architectures (VarNet, 3D UNet, FastDVDNet) and corresponding sampling patterns (Cartesian, radial, spiral)...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon Arridge, Jennifer Steeden, Vivek Muthurangu
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-05-01
Schriftenreihe:Scientific Reports
Schlagworte:
Real-time
Dynamic MRI
Deep learning
Image reconstruction
Machine learning
Online-Zugang:https://doi.org/10.1038/s41598-024-62294-7
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