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Scan-specific Robust Artificial-neural-networks for k-space Interpolation (RAKI) Reconstruction: Database-free Deep Learning for Fast Imaging
PURPOSE: To develop an improved k-space reconstruction method using scan-specific deep learning that is trained on autocalibration signal (ACS) data. THEORY: Robust Artificial-neural-networks for k-space Interpolation (RAKI) reconstruction trains convolutional neural networks on ACS data. This enabl...
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| Publicado no: | Magn Reson Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6258345/ https://ncbi.nlm.nih.gov/pubmed/30277269 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27420 |
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