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Low-dimensional-Structure Self-Learning and Thresholding (LOST): Regularization Beyond Compressed Sensing for MRI Reconstruction
An improved image reconstruction method from undersampled k-space data, “LOw-dimensional-structure Self-learning and Thresholding (LOST),” which utilizes the structure from the underlying image is presented. A low resolution image from the fully-sampled k-space center is reconstructed to learn image...
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| Autores principales: | , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4212512/ https://ncbi.nlm.nih.gov/pubmed/21465542 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.22841 |
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