Bayesian nonparametric dictionary learning for compressed sensing MRI
We develop a Bayesian nonparametric model for reconstructing magnetic resonance images (MRIs) from highly undersampled k -space data. We perform dictionary learning as part of the image reconstruction process. To this end, we use the beta process as a nonparametric dictionary learning prior for repr...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 12 vom: 22. Dez., Seite 5007-19
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| Auteur principal: |
Huang, Yue
(Auteur) |
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| Autres auteurs: |
Paisley, John,
Lin, Qin,
Ding, Xinghao,
Fu, Xueyang,
Zhang, Xiao-Ping |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2014
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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