Sparsity and locally low rank regularization for MR fingerprinting

PURPOSE: Develop a sparse and locally low rank (LLR) regularized reconstruction to accelerate MR fingerprinting (MRF). METHODS: Recent works have introduced low rank reconstructions to MRF, based on temporal compression operators learned from the MRF dictionary. In other MR applications, LLR regular...

Descripción completa

Detalles Bibliográficos
Autores principales: Lima da Cruz, Gastão, Bustin, Aurélien, Jaubert, Oliver, Schneider, Torben, Botnar, René M., Prieto, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492150/
https://www.ncbi.nlm.nih.gov/pubmed/30720209
http://dx.doi.org/10.1002/mrm.27665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492150/
https://www.ncbi.nlm.nih.gov/pubmed/30720209
http://dx.doi.org/10.1002/mrm.27665

Ejemplares similares