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Accelerated High-Dimensional MR Imaging with Sparse Sampling Using Low-Rank Tensors
High-dimensional MR imaging often requires long data acquisition time, thereby limiting its practical applications. This paper presents a low-rank tensor based method for accelerated high-dimensional MR imaging using sparse sampling. This method represents high-dimensional images as low-rank tensors...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5487008/ https://ncbi.nlm.nih.gov/pubmed/27093543 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2550204 |
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