Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain

OBJECTIVES: To evaluate the diagnostic performance of an automated reconstruction algorithm combining MR imaging acquired using compressed SENSE (CS) with deep learning (DL) in order to reconstruct denoised high-quality images from undersampled MR images in patients with shoulder pain. METHODS: Pros...

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Detalles Bibliográficos
Autores principales: Feuerriegel, Georg C., Weiss, Kilian, Kronthaler, Sophia, Leonhardt, Yannik, Neumann, Jan, Wurm, Markus, Lenhart, Nicolas S., Makowski, Marcus R., Schwaiger, Benedikt J., Woertler, Klaus, Karampinos, Dimitrios C., Gersing, Alexandra S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289918/
https://www.ncbi.nlm.nih.gov/pubmed/36806569
http://dx.doi.org/10.1007/s00330-023-09472-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289918/
https://www.ncbi.nlm.nih.gov/pubmed/36806569
http://dx.doi.org/10.1007/s00330-023-09472-9

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