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MRI reconstruction of multi-image acquisitions using a rank regularizer with data reordering

PURPOSE: To improve rank constrained reconstructions for undersampled multi-image MRI acquisitions. METHODS: Motivated by the recent developments in low-rank matrix completion theory and its applicability to rapid dynamic MRI, a new reordering-based rank constrained reconstruction of undersampled mu...

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Опубликовано в: :Med Phys
Главные авторы: Adluru, Ganesh, Gur, Yaniv, Chen, Liyong, Feinberg, David, Anderson, Jeffrey, DiBella, Edward V. R.
Формат: Artigo
Язык:Inglês
Опубликовано: American Association of Physicists in Medicine 2015
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4514720/
https://ncbi.nlm.nih.gov/pubmed/26233201
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4926777
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