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23 Na MRI in ischemic stroke: Acquisition time reduction using postprocessing with convolutional neural networks
2021
NMR in Biomedicine
Quantitative 23 Na magnetic resonance imaging (MRI) provides tissue sodium concentration (TSC), which is connected to cell viability and vitality. Long acquisition times are one of the most challenging aspects for its clinical establishment. K-space undersampling is an approach for acquisition time reduction, but generates noise and artifacts. The use of convolutional neural networks (CNNs) is increasing in medical imaging and they are a useful tool for MRI postprocessing. The aim of this study
doi:10.1002/nbm.4474
pmid:33480128
fatcat:a24y7jg6kbah3bqj2moifqgksq