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DYNAMIC MRI USING DEEP MANIFOLD SELF-LEARNING

We propose a deep self-learning algorithm to learn the manifold structure of free-breathing and ungated cardiac data and to recover the cardiac CINE MRI from highly undersampled measurements. Our method learns the manifold structure in the dynamic data from navigators using autoencoder network. The...

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Detalles Bibliográficos
Publicado en:Proc IEEE Int Symp Biomed Imaging
Main Authors: Ahmed, Abdul Haseeb, Aggarwal, Hemant, Nagpal, Prashant, Jacob, Mathews
Formato: Artigo
Idioma:Inglês
Publicado: 2020
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7885794/
https://ncbi.nlm.nih.gov/pubmed/33603956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098382
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