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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
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 |
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