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A compressed-sensing approach for super-resolution reconstruction of diffusion MRI

We present an innovative framework for reconstructing high-spatial-resolution diffusion magnetic resonance imaging (dMRI) from multiple low-resolution (LR) images. Our approach combines the twin concepts of compressed sensing (CS) and classical super-resolution to reduce acquisition time while incre...

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Detalhes bibliográficos
Publicado no:Inf Process Med Imaging
Main Authors: Ning, Lipeng, Setsompop, Kawin, Michailovich, Oleg, Makris, Nikos, Westin, Carl-Fredrik, Rathi, Yogesh
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4578654/
https://ncbi.nlm.nih.gov/pubmed/26221667
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