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)...

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Autores principales:	Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon Arridge, Jennifer Steeden, Vivek Muthurangu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-05-01
Colección:	Scientific Reports
Materias:	Real-time Dynamic MRI Deep learning Image reconstruction Machine learning
Acceso en línea:	https://doi.org/10.1038/s41598-024-62294-7
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