On Variable Density Compressive Sampling, IEEE Signal Processing Letters, vol.18, issue.10, pp.595-598, 2011. ,
DOI : 10.1109/LSP.2011.2163712
Variable Density Sampling with Continuous Trajectories, SIAM Journal on Imaging Sciences, vol.7, issue.4, pp.1962-1992, 2014. ,
DOI : 10.1137/130946642
URL : https://hal.archives-ouvertes.fr/hal-00908486
Beyond incoherence: stable and robust sampling strategies for compressive imaging, p.2012 ,
Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing, 2013. ,
Fast three-dimensionalk-space trajectory design using missile guidance ideas, Magnetic Resonance in Medicine, vol.41, issue.2, pp.329-336, 2004. ,
DOI : 10.1002/mrm.20163
Optimal design ofk-space trajectories using a multi-objective genetic algorithm, Magnetic Resonance in Medicine, vol.11, issue.4, pp.831-841, 2004. ,
DOI : 10.1002/mrm.20233
Design and analysis of a practical 3D cones trajectory, Magnetic Resonance in Medicine, vol.44, issue.3, pp.575-582, 2006. ,
DOI : 10.1002/mrm.20796
Spiral trajectory design: A flexible numerical algorithm and base analytical equations, Magnetic Resonance in Medicine, vol.128, issue.1, pp.278-285, 2014. ,
DOI : 10.1002/mrm.24675
MRI using a concentric rings trajectory, Magnetic Resonance in Medicine, vol.33, issue.1, pp.102-112, 2008. ,
DOI : 10.1002/mrm.21300
An optimal design method for magnetic resonance imaging gradient waveforms, IEEE Transactions on Medical Imaging, vol.12, issue.2, pp.350-360, 1993. ,
DOI : 10.1109/42.232266
Time-optimal multidimensional gradient waveform design for rapid imaging, Magnetic Resonance in Medicine, vol.4, issue.1, pp.81-92, 2004. ,
DOI : 10.1002/mrm.10666
A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories, IEEE Transactions on Medical Imaging, vol.27, issue.6, pp.866-873, 2008. ,
DOI : 10.1109/TMI.2008.922699
Fast and Robust Design of Time-Optimal k-Space Trajectories in MRI, IEEE Transactions on Medical Imaging, vol.34, issue.2, 2014. ,
DOI : 10.1109/TMI.2014.2362681
Travelling salesmanbased compressive sampling, Proc. of 10th SampTA conference, pp.509-511, 2013. ,
From variable density sampling to continuous sampling using Markov chains, Proc. of 10th SampTA conference, pp.200-203, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00848286
Smoothed random-like trajectory for compressed sensing MRI Errata: Sampling trajectories for sparse image recovery, Proc. of the 34th annual IEEE EMBC, pp.404-407, 2011. ,
MRI Pulse Sequence Design With First-Order Gradient Moment Nulling in Arbitrary Directions by Solving a Polynomial Program, IEEE Transactions on Medical Imaging, vol.29, issue.6, pp.1252-1259, 2010. ,
DOI : 10.1109/TMI.2010.2042723
Compressive Sensing and Structured Random Matrices, Theoretical Foundations and Numerical Methods for Sparse Recovery of Radon Series Comp. Appl. Math, pp.1-92, 2010. ,
Variable density compressed sensing in MRI. Theoretical vs heuristic sampling strategies, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.298-301, 2013. ,
DOI : 10.1109/ISBI.2013.6556471
URL : https://hal.archives-ouvertes.fr/hal-00848271
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
Optimal transport: old and new, 2008. ,
DOI : 10.1007/978-3-540-71050-9
A method of solving a convex programming problem with convergence rate, Soviet Mathematics Doklady, pp.372-376, 1983. ,
Gradient-based algorithms with applications to signal-recovery problems, Convex Optimization in Signal Processing and Communications, 2009. ,
DOI : 10.1017/CBO9780511804458.003
Multishot rosette trajectories for spectrally selective MR imaging, IEEE Transactions on Medical Imaging, vol.16, issue.4, pp.372-377, 1997. ,
DOI : 10.1109/42.611345
The fastest gradient waveforms for arbitrary and optimized k-space trajectories, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.708-711, 2013. ,
DOI : 10.1109/ISBI.2013.6556573
Magnetic resonance fluoroscopy using spirals with variable sampling densities, Magnetic Resonance in Medicine, vol.12, issue.3, pp.388-394, 1995. ,
DOI : 10.1002/mrm.1910340316
Convex Analysis and Minimization Algorithms I: Part 1: Fundamentals, 1996. ,
DOI : 10.1007/978-3-662-02796-7
Convex analysis, 1997. ,
DOI : 10.1515/9781400873173
Smooth minimization of non-smooth functions, Mathematical Programming, vol.269, issue.1, pp.127-152, 2005. ,
DOI : 10.1007/s10107-004-0552-5
Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing, SIAM Journal on Scientific Computing, vol.31, issue.3, pp.2047-2080, 2009. ,
DOI : 10.1137/070696143
URL : https://hal.archives-ouvertes.fr/inria-00166096
An Algorithm for Variable Density Sampling with Block-Constrained Acquisition, SIAM Journal on Imaging Sciences, vol.7, issue.2, pp.1080-1107, 2014. ,
DOI : 10.1137/130941560
URL : https://hal.archives-ouvertes.fr/hal-00873873
A fast dual proximal gradient algorithm for convex minimization and applications, Operations Research Letters, vol.42, issue.1, pp.1-6, 2014. ,
DOI : 10.1016/j.orl.2013.10.007