Automated Parameter Selection for Accelerated MRI Reconstruction via Low-Rank Modeling of Local k-Space Neighborhoods

PURPOSE: Image quality in accelerated MRI rests on careful selection of various reconstruction parameters. A common yet tedious and error-prone practice is to hand-tune each parameter to attain visually appealing reconstructions. Here, we propose a parameter tuning strategy to automate hybrid parall...

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Detalles Bibliográficos
Autores principales: Ilicak, Efe, Saritas, Emine Ulku, Çukur, Tolga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311279/
https://www.ncbi.nlm.nih.gov/pubmed/35216887
http://dx.doi.org/10.1016/j.zemedi.2022.02.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311279/
https://www.ncbi.nlm.nih.gov/pubmed/35216887
http://dx.doi.org/10.1016/j.zemedi.2022.02.002

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