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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Bibliographic Details
Main Authors: Hongyang Lu, Jingbo Wei, Qiegen Liu, Yuhao Wang, Xiaohua Deng
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2016/7512471

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