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

Internet

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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