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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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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3237553/ https://ncbi.nlm.nih.gov/pubmed/22194921 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0028822 |
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