Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Reference-Driven Compressed Sensing MR Image Reconstruction with Partially Known Support and Group Sparsity Constraints

Authors
Dong Yize, Du Huiqian, Zhao Di, Han Yu, Mei Wenbo
Corresponding Author
Dong Yize
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.42How to use a DOI?
Keywords
Compressed Sensing·MR image reconstruction·The reference image·Support·Group sparsity
Abstract
Applying compressed sensing (CS) to magnetic resonance imaging (MRI) makes it possible to reconstruct a MR image from undersampled data. Traditional CS based MR image reconstruction schemes only use the signals’ sparsity in an appropriate transform domain to reduce sampling rate. This paper proposes a new MR image reconstruction method which utilizes structure features of the image besides sparsity. The proposed method exploits the distribution of the wavelet coefficients’ magnitudes and support information to formulate the objective function by minimizing which the image is reconstructed. The objective function consists of the data consistence term and two regularization terms: l1-l2 norm of the groups which contains the coefficients with the unknown support and total variation (TV) norm of the image. The simulation results from real MR images show that the proposed method outperforms the conventional CS based MR image reconstruction method.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.42How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dong Yize
AU  - Du Huiqian
AU  - Zhao Di
AU  - Han Yu
AU  - Mei Wenbo
PY  - 2013/11
DA  - 2013/11
TI  - Reference-Driven Compressed Sensing MR Image Reconstruction with Partially Known Support and Group Sparsity Constraints
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.42
DO  - https://doi.org/10.2991/icmt-13.2013.42
ID  - Yize2013/11
ER  -