J. Tsao, P. Boesiger, and K. P. Pruessmann, k-t BLAST andk-t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations, Magnetic Resonance in Medicine, vol.46, issue.5, pp.1031-1042, 2003.
DOI : 10.1002/mrm.10611

D. Sodickson and W. Manning, Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays, Magnetic Resonance in Medicine, vol.18, issue.4, pp.591-603, 1997.
DOI : 10.1002/mrm.1910380414

K. Pruessmann, M. Weiger, M. Scheidegger, and P. Boesiger, SENSE: Sensitivity encoding for fast MRI, Magnetic Resonance in Medicine, vol.30, issue.5, pp.952-962, 1999.
DOI : 10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S

B. Madore, G. Glover, and N. Pelc, Unaliasing by fourier-encoding the overlaps using the temporal dimension (unfold), applied to cardiac imaging and fmri, Magn Reson Med, 1999.

E. Candes, J. Romberg, and T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006.
DOI : 10.1109/TIT.2005.862083
URL : http://arxiv.org/abs/math/0409186

D. Donoho, Compressed sensing, IEEE Transactions on Information Theory, vol.52, issue.4, pp.1289-1306, 2006.
DOI : 10.1109/TIT.2006.871582
URL : https://hal.archives-ouvertes.fr/inria-00369486

M. Duarto, M. Wakin, and R. Baraniuk, Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.5173-5140, 2008.
DOI : 10.1109/ICASSP.2008.4518815

U. Gamper, P. Boesiger, and S. Kozerke, Compressed sensing in dynamic MRI, Magnetic Resonance in Medicine, vol.52, issue.2, pp.365-373, 2008.
DOI : 10.1002/mrm.21477

M. Lustig, Sparse mri, 2008.

R. Duda, P. Hart, and D. Stork, Pattern Classification, p.471056693, 2000.

D. Baron, M. Duarte, S. Sarvotham, M. Wakin, and R. Baraniuk, Distributed compressed sensing, Rice University, 2006.