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Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model
PURPOSE: We introduce and validate a scalable retrospective motion correction technique for brain imaging that incorporates a machine learning component into a model-based motion minimization. METHODS: A convolutional neural network (CNN) trained to remove motion artifacts from 2D T(2)-weighted RARE...
Kaydedildi:
| Yayımlandı: | Magn Reson Med |
|---|---|
| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6626557/ https://ncbi.nlm.nih.gov/pubmed/31045278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27771 |
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