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Learning a preconditioner to accelerate compressed sensing reconstructions in MRI
PURPOSE: To learn a preconditioner that accelerates parallel imaging (PI) and compressed sensing (CS) reconstructions. METHODS: A convolutional neural network (CNN) with residual connections was used to train a preconditioning operator. Training and validation data were simulated using 50% brain ima...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299023/ https://www.ncbi.nlm.nih.gov/pubmed/34752655 http://dx.doi.org/10.1002/mrm.29073 |