C. Boyer, On the Generation of Sampling Schemes for Magnetic Resonance Imaging, SIAM Journal on Imaging Sciences, vol.9, issue.4, 2016.
DOI : 10.1137/16M1059205

URL : https://hal.archives-ouvertes.fr/hal-01373758

D. C. Peters, Characterizing radial undersampling artifacts for cardiac applications Magnetic resonance in medicine 55, pp.396-403, 2006.

G. H. Glover and J. M. Pauly, Projection reconstruction techniques for reduction of motion e×ects in MRI, Magnetic Resonance in Medicine, vol.282, pp.275-289, 1992.

J. Liao, Reduction of motion artifacts in cine MRI using variable-density spiral trajectories Magnetic resonance in medicine 37, pp.569-575, 1997.

H. Jung, 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

L. Feng, XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing, Magnetic resonance in medicine 75, pp.775-788, 2016.
DOI : 10.1148/radiol.12120826

L. Kasper, Spiral Acquisition for High-Speed Anatomical Imaging at 7T, ISMRM 24th Annual Meeting & Exhibition, 2016.

N. Chau×ert, A Projection Algorithm for Gradient Waveforms Design in Magnetic Resonance Imaging, IEEE transactions on medical imaging, vol.35, issue.9, pp.2026-2039, 2016.

C. Lazarus, Compressed Sensing in MRI: how the Maximum Undersampling Factor depends on the Image Size, ESMRMB 2016 Congress. ePoster n°127

A. Beck and M. Teboulle, A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009.
DOI : 10.1137/080716542

J. Keiner, S. Kunis, and D. Potts, Using NFFT 3---A Software Library for Various Nonequispaced Fast Fourier Transforms, ACM Transactions on Mathematical Software, vol.36, issue.4, pp.36-37, 2009.
DOI : 10.1145/1555386.1555388

. Wang and . Zhou, Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004.
DOI : 10.1109/TIP.2003.819861

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2477

S. J. Vannesjo, Gradient system characterization by impulse response measurements with a dynamic Òeld camera Magnetic resonance in medicine 69, pp.583-593, 2013.