Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest

OBJECTIVES: A deep learning-based super-resolution for postcontrast volume-interpolated breath-hold examination (VIBE) of the chest was investigated in this study. Aim was to improve image quality, noise, artifacts and diagnostic confidence without change of acquisition parameters. MATERIALS AND MET...

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Detalles Bibliográficos
Autores principales: Maennlin, Simon, Wessling, Daniel, Herrmann, Judith, Almansour, Haidara, Nickel, Dominik, Kannengiesser, Stephan, Afat, Saif, Gassenmaier, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Chest Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938811/
https://www.ncbi.nlm.nih.gov/pubmed/36609662
http://dx.doi.org/10.1007/s11547-022-01587-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938811/
https://www.ncbi.nlm.nih.gov/pubmed/36609662
http://dx.doi.org/10.1007/s11547-022-01587-1

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