G. Wright, Magnetic resonance imaging, IEEE Signal Processing Magazine, vol.14, issue.1, pp.56-66, 1997.
DOI : 10.1109/79.560324

URL : https://hal.archives-ouvertes.fr/inria-00615582

M. Lustig, D. Donoho, and J. M. Pauly, Sparse MRI: The application of compressed sensing for rapid MR imaging, Magnetic Resonance in Medicine, vol.170, issue.6, pp.1182-1195, 2007.
DOI : 10.1002/mrm.21391

E. J. 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

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. Lustig, D. Donoho, J. Santos, and J. Pauly, Compressed Sensing MRI, IEEE Signal Processing Magazine, vol.25, issue.2, pp.72-82, 2008.
DOI : 10.1109/MSP.2007.914728

B. Bilgic, K. Setsompop, J. Cohen-adad, A. Yendiki, L. L. Wald et al., Accelerated diffusion spectrum imaging with compressed sensing using adaptive dictionaries

F. Yanez, A. P. Fan, B. Bilgic, C. Milovic, E. Adalsteinsson et al., Quantitative Susceptibility Map Reconstruction via a Total Generalized Variation Regularization, 2013 International Workshop on Pattern Recognition in Neuroimaging, pp.203-206, 2013.
DOI : 10.1109/PRNI.2013.59

B. Bilgic, V. K. Goyal, and E. Adalsteinsson, Multi-contrast reconstruction with Bayesian compressed sensing, Magnetic Resonance in Medicine, vol.62, issue.6, pp.1601-1615, 2011.
DOI : 10.1002/mrm.22956

H. Jung, K. Sung, K. S. Nayak, E. Y. Kim, and J. C. , k-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI, Magnetic Resonance in Medicine, vol.54, issue.1, pp.103-116, 2009.
DOI : 10.1002/mrm.21757

H. Jung and J. C. Ye, Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques, International Journal of Imaging Systems and Technology, vol.1, issue.2, pp.81-98, 2010.
DOI : 10.1002/ima.20231

M. Usman, D. Atkinson, F. Odille, C. Kolbitsch, G. Vaillant et al., Motion corrected compressed sensing for free-breathing dynamic cardiac MRI, Magnetic Resonance in Medicine, vol.18, issue.2, pp.504-516, 2012.
DOI : 10.1002/mrm.24463

P. G. Batchelor, D. Atkinson, P. Irarrazaval, D. Hill, J. Hajnal et al., Matrix description of general motion correction applied to multishot images, Magnetic Resonance in Medicine, vol.21, issue.5, pp.1273-1280, 2005.
DOI : 10.1002/mrm.20656

C. Prieto, P. G. Batchelor, D. L. Hill, J. V. Hajnal, M. Guarini et al., Reconstruction of undersampled dynamic images by modeling the motion of object elements, Magnetic Resonance in Medicine, vol.15, issue.5
DOI : 10.1002/mrm.21222

H. Chandarana, T. Block, J. Stepancic, D. K. Sodickson, and R. Otazo, Contrast-enhanced free-breathing perfusion weighted MR imaging of the whole-liver with high spatial and temporal resolution, Proc. Intl, p.4009, 2012.

H. Chandarana, E. Robinson, C. H. Hajdu, L. Drozhinin, J. S. Babb et al., Microvascular Invasion in Hepatocellular Carcinoma: Is It Predictable With Pretransplant MRI?, American Journal of Roentgenology, vol.196, issue.5, pp.1083-1089, 2011.
DOI : 10.2214/AJR.10.4720

J. I. Lee, J. W. Lee, Y. S. Kim, Y. A. Choi, Y. S. Jeon et al., Analysis of Survival in Very Early Hepatocellular Carcinoma After Resection, Journal of Clinical Gastroenterology, vol.45, issue.4, pp.366-371, 2011.
DOI : 10.1097/MCG.0b013e3181f3a2f4

W. E. Naugler and A. Sonnenberg, Survival and cost-effectiveness analysis of competing strategies in the management of small hepatocellular carcinoma, Liver Transplantation, vol.10, issue.10, pp.1186-1194, 2010.
DOI : 10.1002/lt.22129

A. Myronenko, Non-rigid Image Registration: Regularization, Algorithms and Applications, 2010.

D. L. Hill, P. G. Batchelor, M. Holden, and D. J. Hawkes, Medical image registration, Physics in Medicine and Biology, vol.46, issue.3, pp.1-45, 2001.
DOI : 10.1088/0031-9155/46/3/201

URL : https://hal.archives-ouvertes.fr/inria-00615977

S. Becker, J. Bobin, and E. J. Candes, NESTA: A Fast and Accurate First-Order Method for Sparse Recovery, SIAM Journal on Imaging Sciences, vol.4, issue.1, pp.1-39, 2011.
DOI : 10.1137/090756855

S. Boyd and L. Vandenberghe, Convex Optimization, 2004.

P. Irarrazaval, R. Boubertakh, R. Razavi, and D. Hill, Dynamic three-dimensional undersampled data reconstruction employing temporal registration, Magnetic Resonance in Medicine, vol.41, issue.5, pp.1207-1215, 2005.
DOI : 10.1002/mrm.20671

P. C. Hansen, Analysis of Discrete Ill-Posed Problems by Means of the L-Curve, SIAM Review, vol.34, issue.4, pp.561-580, 1992.
DOI : 10.1137/1034115

P. C. Hansen and D. P. Leary, The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems, SIAM Journal on Scientific Computing, vol.14, issue.6, pp.1487-1503, 1993.
DOI : 10.1137/0914086

S. L. Merlet, M. Paquette, R. Deriche, and M. Descoteaux, Ensemble average propagator reconstruction via compressed sensing: Discrete or continuous bases?, Proc. Intl. Soc
URL : https://hal.archives-ouvertes.fr/hal-00712687

M. P. Sampat, Z. Wang, S. Gupta, A. C. Bovik, and M. K. Markey, Complex Wavelet Structural Similarity: A New Image Similarity Index, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2385-2401, 2009.
DOI : 10.1109/TIP.2009.2025923

S. M. Asif, L. Hamilton, M. Brummer, and J. Romberg, Motion-adaptive spatio-temporal regularization for accelerated dynamic MRI, Magnetic Resonance in Medicine, vol.22, issue.3, pp.800-812, 2012.
DOI : 10.1002/mrm.24524

M. Stuber, R. M. Botnar, P. G. Danias, K. V. Kissinger, and W. J. Manning, Submillimeter Three-dimensional Coronary MR Angiography with Real-time Navigator Correction: Comparison of Navigator Locations, Radiology, vol.212, issue.2, pp.579-587, 1999.
DOI : 10.1148/radiology.212.2.r99au50579