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A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction

Reconstructing images from their noisy and incomplete measurements is always a challenge especially for medical MR image with important details and features. This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV)...

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Detalles Bibliográficos
Autores principales:	Lu, Hongyang, Wei, Jingbo, Liu, Qiegen, Wang, Yuhao, Deng, Xiaohua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811095/ https://www.ncbi.nlm.nih.gov/pubmed/27110235 http://dx.doi.org/10.1155/2016/7512471

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