Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study

PURPOSE: To evaluate whether deep learning reconstruction (DLR) accelerates the acquisition of 1.5-T magnetic resonance imaging (MRI) knee data without image deterioration. MATERIALS AND METHODS: Twenty-one healthy volunteers underwent MRI of the right knee on a 1.5-T MRI scanner. Proton-density-wei...

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Detalles Bibliográficos
Autores principales: Akai, Hiroyuki, Yasaka, Koichiro, Sugawara, Haruto, Tajima, Taku, Kamitani, Masaru, Furuta, Toshihiro, Akahane, Masaaki, Yoshioka, Naoki, Ohtomo, Kuni, Abe, Osamu, Kiryu, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827641/
https://www.ncbi.nlm.nih.gov/pubmed/36624404
http://dx.doi.org/10.1186/s12880-023-00962-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827641/
https://www.ncbi.nlm.nih.gov/pubmed/36624404
http://dx.doi.org/10.1186/s12880-023-00962-2

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