Güngör, A.Kopanoğlu, E.Çukur, TolgaGüven, H. E.2018-04-122018-04-1220171945-7928http://hdl.handle.net/11693/37622Date of Conference: 18-21 April 2017Conference Name: IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017In 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.EnglishADMMCompressive sensingMulti-contrast magnetic resonance imagingConstrained optimizationImage processingImage reconstructionMagnetismMedical imagingOptimizationResonanceSignal reconstructionAlternating direction method of multipliersAugmented lagrangiansCompressive measurementsIndividual featuresMutual informationsSynthesis-based approachesMagnetic resonance imagingConference Paper10.1109/ISBI.2017.7950615