A synthesis-based approach to compressive multi-contrast magnetic resonance imaging
Proceedings of the IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
696 - 699
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In this study, we deal with the problem of image reconstruction from compressive measurements of multi-contrast magnetic resonance imaging (MRI). We propose a synthesis based approach for image reconstruction to better exploit mutual information across contrasts, while retaining individual features of each contrast image. For fast recovery, we propose an augmented Lagrangian based algorithm, using Alternating Direction Method of Multipliers (ADMM). We then compare the proposed algorithm to the state-of-the-art Compressive Sensing-MRI algorithms, and show that the proposed method results in better quality images in shorter computation time.
Multi-contrast magnetic resonance imaging
Alternating direction method of multipliers
Magnetic resonance imaging