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NonCartesian MR image reconstruction with integrated gradient nonlinearity correction

PURPOSE: To derive a noniterative gridding-type reconstruction framework for nonCartesian magnetic resonance imaging (MRI) that prospectively accounts for gradient nonlinearity (GNL)-induced image geometrical distortion during MR image reconstruction, as opposed to the standard, image-domain based G...

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Библиографические подробности
Опубликовано в: :Med Phys
Главные авторы: Tao, Shengzhen, Trzasko, Joshua D., Shu, Yunhong, Huston, John, Johnson, Kevin M., Weavers, Paul T., Gray, Erin M., Bernstein, Matt A.
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/PMC4670451/
https://ncbi.nlm.nih.gov/pubmed/26632073
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4936098
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