Deep learning–based acceleration of Compressed Sense MR imaging of the ankle

OBJECTIVES: To evaluate a compressed sensing artificial intelligence framework (CSAI) to accelerate MRI acquisition of the ankle. METHODS: Thirty patients were scanned at 3T. Axial T2-w, coronal T1-w, and coronal/sagittal intermediate-w scans with fat saturation were acquired using compressed sensin...

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Detalles Bibliográficos
Autores principales: Foreman, Sarah C., Neumann, Jan, Han, Jessie, Harrasser, Norbert, Weiss, Kilian, Peeters, Johannes M., Karampinos, Dimitrios C., Makowski, Marcus R., Gersing, Alexandra S., Woertler, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705492/
https://www.ncbi.nlm.nih.gov/pubmed/35751695
http://dx.doi.org/10.1007/s00330-022-08919-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705492/
https://www.ncbi.nlm.nih.gov/pubmed/35751695
http://dx.doi.org/10.1007/s00330-022-08919-9

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