Fast Undersampled Functional Magnetic Resonance Imaging Using Nonlinear Regularized Parallel Image Reconstruction

In this article we aim at improving the performance of whole brain functional imaging at very high temporal resolution (100 ms or less). This is achieved by utilizing a nonlinear regularized parallel image reconstruction scheme, where the penalty term of the cost function is set to the L(1)-norm mea...

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Detalles Bibliográficos
Autores principales: Hugger, Thimo, Zahneisen, Benjamin, LeVan, Pierre, Lee, Kuan Jin, Lee, Hsu-Lei, Zaitsev, Maxim, Hennig, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3237553/
https://www.ncbi.nlm.nih.gov/pubmed/22194921
http://dx.doi.org/10.1371/journal.pone.0028822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3237553/
https://www.ncbi.nlm.nih.gov/pubmed/22194921
http://dx.doi.org/10.1371/journal.pone.0028822

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