Low-Rank and Sparse Decomposition Model for Accelerating Dynamic MRI Reconstruction

The reconstruction of dynamic magnetic resonance imaging (dMRI) from partially sampled k-space data has to deal with a trade-off between the spatial resolution and temporal resolution. In this paper, a low-rank and sparse decomposition model is introduced to resolve this issue, which is formulated a...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Junbo, Liu, Shouyin, Huang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591906/
https://www.ncbi.nlm.nih.gov/pubmed/29093806
http://dx.doi.org/10.1155/2017/9856058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591906/
https://www.ncbi.nlm.nih.gov/pubmed/29093806
http://dx.doi.org/10.1155/2017/9856058

Ejemplares similares