152 8.2.1 Fiber tractography via the Ensemble Average Propagator, p.153 ,
157 9.2.1 Tractographie de fibres via l, p.157 ,
163 10.7 Analytical diffusion signal, EAP and ODF from the multiple tensor model163 166 CHAPTER 11 ,
Continuous diffusion signal, EAP and ODF estimation via Compressive Sensing in diffusion MRI. Medical Image Analysis, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00815108
A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features. Medical Image Analysis, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00820817
Accelerated DSI with efficient sampling and sparse discrete representation, Magnetic Resonance in Medicine, 2013. ,
Tractography via the Ensemble Average Propagator in diffusion MRI. Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2012, pp.339-346, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00727797
Parametric dictionary learning for modeling EAP and ODF in diffusion MRI. Medical Image Computing and Computer- Assisted Intervention ? MICCAI 2012, pp.339-346, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00728067
Ensemble Average Propagator Reconstruction via Compressed Sensing: Discrete or Continuous Bases, 20th ISMRM annual meeting, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00712687
Diffusion and multiple orientations from 1.5 MR systems with limited gradient tables, 20th ISMRM annual meeting, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00712686
Parametric Dictionary Learning in Diffusion MRI. HARDI reconstruction workshop -ISBI -9th, IEEE International Symposium on Biomedical Imaging, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00697102
Accelerating Diffusion MRI via Compressive Sensing, ITWIST, vol.2012, 2012. ,
Impact of radial and angular sampling on multiple shells acquisition in diffusion MRI. Medical Image Computing and Computer-Assisted Intervention ? MICCAI, pp.116-123, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00614387
Spherical Polar Fourier EAP and odf reconstruction via compressed sensing in diffusion mri, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011. ,
DOI : 10.1109/ISBI.2011.5872425
URL : https://hal.archives-ouvertes.fr/inria-00585694
Compressed Sensing for Accelerated EAP Recovery in Diffusion MRI. MICCAI Workshop on Computational Diffusion MRI -CDMRI'10, pp.168-179, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00536278
Reconstruction of the ODF in single and multiple shell q-ball imaging within constant solid angle, Magnetic Resonance in Medicine, vol.64, issue.2, pp.554-566, 2010. ,
<tex>$rm K$</tex>-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4311-4322, 2006. ,
DOI : 10.1109/TSP.2006.881199
Maximum entropy spherical deconvolution for diffusion mri, Information Processing in Medical Imaging, pp.76-87, 2005. ,
Processing data in lie groups: an algebraic approach. application to non-linear registration and diffusion tensor mri, These de Science, 2006. ,
URL : https://hal.archives-ouvertes.fr/tel-00121162
Efficient and robust computation of PDF features from diffusion MR signal, Medical Image Analysis, vol.13, issue.5, pp.715-729, 2009. ,
DOI : 10.1016/j.media.2009.06.004
URL : https://hal.archives-ouvertes.fr/hal-00410615
Compressive Radar Imaging, 2007 IEEE Radar Conference, pp.128-133, 2007. ,
DOI : 10.1109/RADAR.2007.374203
New histological and physiological stains derived from diffusion-tensor mr images, Annals of the New York Academy of Sciences, vol.820, issue.1, pp.123-138, 1997. ,
Fiber orientation mapping in an anisotropic medium with nmr diffusion spectroscopy, 11th Annual Meeting of the SMRM, 1992. ,
Estimation of the effective selfdiffusion tensor from the nmr spin echo, Journal of Magnetic Resonance, B, issue.103, pp.247-254, 1994. ,
Mr diffusion tensor spectroscopy and imaging, Biophysical Journal, vol.66, issue.1, pp.259-267, 1994. ,
Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor mri, Journal of magnetic resonance. Series B, vol.111, issue.3, pp.209-219, 1996. ,
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
Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing, Signal Processing IEEE Transactions on, vol.58, issue.3, pp.1708-1721, 2010. ,
Local convergence analysis of a grouped variable version of coordinate descent, Journal of Optimization Theory and Applications, vol.26, issue.3, pp.471-477, 1987. ,
DOI : 10.1007/BF00940196
Accelerated diffusion spectrum imaging with compressed sensing using adaptive dictionaries, Magnetic Resonance in Medicine, 2012. ,
Nuclear Induction, Physical Review, vol.70, issue.7-8, pp.460-474, 1946. ,
DOI : 10.1103/PhysRev.70.460
Compressed sensing in astronomy. Selected Topics in Signal Processing, IEEE Journal, vol.2, issue.5, pp.718-726, 2008. ,
Principles of nuclear magnetic resonance microscopy, 1993. ,
A probabilistic and ripless theory of compressed sensing. Information Theory, IEEE Transactions on, issue.99, pp.1-1, 2010. ,
Sparsity and incoherence in compressive sampling, Inverse Problems, vol.23, issue.3, p.969, 2007. ,
DOI : 10.1088/0266-5611/23/3/008
The restricted isometry property and its implications for compressed sensing, Comptes Rendus Mathematique, vol.346, issue.9-10, pp.589-592, 2008. ,
DOI : 10.1016/j.crma.2008.03.014
Compressed sensing with coherent and redundant dictionaries, Applied and Computational Harmonic Analysis, vol.31, issue.1, pp.59-73, 2011. ,
DOI : 10.1016/j.acha.2010.10.002
An Introduction To Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, pp.21-30, 2008. ,
DOI : 10.1109/MSP.2007.914731
Effects of diffusion on free precession in nuclear magnetic resonance experiments, Physical Review, vol.94, issue.3, p.630, 1954. ,
Prediction and interpretation of distributed neural activity with sparse models, NeuroImage, vol.44, issue.1, pp.112-122, 2009. ,
Optimal design of multiple q-shells experiments for diffusion mri, MICCAI Workshop on Computational Diffusion MRI -CDMRI'11, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00617663
Diffusion MRI signal reconstruction with continuity constraint and optimal regularization, Medical Image Analysis, vol.16, issue.6, pp.1113-1120, 2012. ,
DOI : 10.1016/j.media.2012.06.011
URL : https://hal.archives-ouvertes.fr/hal-00711883
A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features Incremental gradient table for multiple q-shells diffusion mri, HBM 17th Annual Meeting, 2011. ,
Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ,
DOI : 10.1109/ISBI.2009.5193034
Regularizing Flows for Constrained Matrix-Valued Images, Journal of Mathematical Imaging and Vision, vol.20, issue.1/2, pp.147-162, 2004. ,
DOI : 10.1023/B:JMIV.0000011324.14508.fb
Constrained flows of matrix-valued functions: Application to diffusion tensor regularization, Computer Vision?ECCV, pp.251-265, 2002. ,
Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation, Medical Image Computing and Computer-Assisted Intervention -MICCAI, pp.648-656, 2010. ,
DOI : 10.1007/978-3-642-15705-9_79
URL : https://hal.archives-ouvertes.fr/inria-00496929
Model-Free and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion MRI, Medical Image Computing and Computer-Assisted Intervention -MICCAI, pp.590-597, 2010. ,
DOI : 10.1007/978-3-642-15705-9_72
URL : https://hal.archives-ouvertes.fr/inria-00496932
Theoretical analysis and practical insights on eap estimation via a unified hardi framework, MICCAI workshop on Computational Diffusion MRI, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00615430
Compressive sensing ensemble average propagator estimation via l1 spherical polar fourier imaging, MICCAI workshop on Computational Diffusion MRI, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00615434
Translation-invariant de-noising. Lecture notes in statistics, pp.125-125, 1995. ,
Camino: Open-source diffusion-mri reconstruction and processing, 14th ISMRM, 2006. ,
Measurement of translational displacement probabilities by NMR: An indicator of compartmentation, Magnetic Resonance in Medicine, vol.13, issue.3, pp.435-444, 1990. ,
DOI : 10.1002/mrm.1910140303
Smoothing noisy data with spline functions, Numerische Mathematik, vol.4, issue.4, pp.377-403, 1985. ,
DOI : 10.1007/BF01404567
Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets, Medical Image Analysis, vol.13, issue.4, pp.564-579, 2009. ,
DOI : 10.1016/j.media.2009.05.008
High angular resolution diffusion mri: from local estimation to segmentation and tractography, 2008. ,
URL : https://hal.archives-ouvertes.fr/tel-00457458
Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions, IEEE Transactions on Medical Imaging, vol.28, issue.2, pp.269-286, 2009. ,
DOI : 10.1109/TMI.2008.2004424
Regularized, fast, and robust analytical Q-ball imaging, Magnetic Resonance in Medicine, vol.17, issue.3, pp.497-510, 2007. ,
DOI : 10.1002/mrm.21277
Multiple q-shell diffusion propagator imaging, Medical Image Analysis, vol.15, issue.4, pp.603-621, 2011. ,
DOI : 10.1016/j.media.2010.07.001
URL : https://hal.archives-ouvertes.fr/hal-00531473
Compressed sensing. Information Theory, IEEE Transactions on, vol.52, issue.4, pp.1289-1306, 2006. ,
URL : https://hal.archives-ouvertes.fr/inria-00369486
Method and apparatus for compressed sensing, US Patent, vol.7646, p.924, 2010. ,
Single-Pixel Imaging via Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, pp.83-91, 2008. ,
DOI : 10.1109/MSP.2007.914730
Structured Compressed Sensing: From Theory to Applications, IEEE Transactions on Signal Processing, vol.59, issue.9, pp.4053-4085, 2011. ,
DOI : 10.1109/TSP.2011.2161982
Least angle regression. The Annals of statistics, pp.407-499, 2004. ,
On the movement of small particles suspended in stationary liquids required by the molecular-kinetic theory of heat, Annalen der Physik, vol.17, pp.549-56016, 1905. ,
Uncertainty Relations for Shift-Invariant Analog Signals, IEEE Transactions on Information Theory, vol.55, issue.12, pp.5742-5757, 2009. ,
DOI : 10.1109/TIT.2009.2032711
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom, NeuroImage, vol.56, issue.1, pp.220-234, 2011. ,
DOI : 10.1016/j.neuroimage.2011.01.032
URL : https://hal.archives-ouvertes.fr/inria-00559191
Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics, IEEE Transactions on Medical Imaging, vol.26, issue.11, pp.1472-1482, 2007. ,
DOI : 10.1109/TMI.2007.899173
URL : https://hal.archives-ouvertes.fr/inria-00502645
Reordering for improved constrained reconstruction from undersampled k-space data Halchenko, and I Nimmo-Smith. Dipy?a novel software library for diffusion mr and tractography, 17th Annual Meeting of the Organization for Human Brain Mapping, 2008. ,
Sparse DSI: Learning DSI Structure for Denoising and Fast Imaging, MICCAI, 2012. ,
DOI : 10.1007/978-3-642-33418-4_36
URL : https://hal.archives-ouvertes.fr/hal-00723897
Sparse DSI: Learning DSI Structure for Denoising and Fast Imaging, Medical Image Computing and Computer-Assisted Intervention?MICCAI 2012, pp.288-296, 2012. ,
DOI : 10.1007/978-3-642-33418-4_36
URL : https://hal.archives-ouvertes.fr/hal-00723897
Spin echoes, Physical Review, vol.80, issue.4, p.580, 1950. ,
Mr image reconstruction by using the iterative refinement method and nonlinear inverse scale space methods, UCLA CAM Report, vol.6, p.35, 2006. ,
High-resolution radar via compressed sensing, Signal Processing IEEE Transactions on, vol.57, issue.6, pp.2275-2284, 2009. ,
Bessel Fourier Orientation Reconstruction (BFOR): An analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices, NeuroImage, vol.64, issue.0, pp.650-670, 2013. ,
DOI : 10.1016/j.neuroimage.2012.08.072
Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2011, pp.217-225, 2011. ,
DOI : 10.1016/j.neuroimage.2007.02.050
Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging, Magnetic Resonance in Medicine, vol.126, issue.6, pp.1432-1440, 2005. ,
DOI : 10.1002/mrm.20508
MRI quantification of non-Gaussian water diffusion by kurtosis analysis, NMR in Biomedicine, vol.4, issue.7, pp.698-710, 2010. ,
DOI : 10.1002/nbm.1518
A novel tensor distribution model for the diffusion-weighted MR signal, NeuroImage, vol.37, issue.1, pp.164-176, 2007. ,
DOI : 10.1016/j.neuroimage.2007.03.074
Diffusion MRI : from quantitative measurement to in-vivo neuroanatomy, 2009. ,
Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging, Magnetic Resonance in Medicine, vol.8, issue.3, pp.515-525, 1999. ,
DOI : 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q
Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: Initial experience, Neurosurgery, vol.72, pp.165-175, 2013. ,
Diffusion spectrum MRI using body-centered-cubic and half-sphere sampling schemes, Journal of Neuroscience Methods, vol.212, issue.1, pp.143-155, 2013. ,
DOI : 10.1016/j.jneumeth.2012.09.028
Resolution of crossing fibers with constrained compressed sensing using diffusion tensor mri, NeuroImage, vol.59, issue.3, pp.2175-2186, 2012. ,
Resolution of crossing fibers with constrained compressed sensing using diffusion tensor mri, NeuroImage, vol.59, issue.3, pp.2175-2186, 2012. ,
Imagerie de diffusion in-vivo par résonance magnétique nucléaire. Comptes-Rendus de l, Académie des Sciences, vol.93, issue.5, pp.27-34, 1985. ,
MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders., Radiology, vol.161, issue.2, pp.401-407, 1986. ,
DOI : 10.1148/radiology.161.2.3763909
URL : https://hal.archives-ouvertes.fr/hal-00349714
Geometric and variational methods for diffusion tensor mri processing, 2006. ,
URL : https://hal.archives-ouvertes.fr/tel-00457463
Characterizing non-gaussian diffusion by using generalized diffusion tensors, Magnetic Resonance in Medicine, vol.42, issue.5, pp.924-937, 2004. ,
DOI : 10.1002/mrm.20071
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
Effects of diffusion anisotropy on lesion delineation in a rat model of cerebral ischemia, Magnetic resonance in medicine, vol.38, issue.4, pp.662-668, 1997. ,
A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.7, pp.674-693, 1989. ,
DOI : 10.1109/34.192463
A Wavelet Tour of Signal Processing, 1998. ,
Acceleration of high angular and spatial resolution diffusion imaging using compressive sensing ,
Accelerated diffusion spectrum imaging in the human brain using compressed sensing, Magnetic Resonance in Medicine, vol.349, issue.5, pp.226-1233, 2011. ,
DOI : 10.1002/mrm.23064
Self-diffusion NMR imaging using stimulated echoes, Journal of Magnetic Resonance (1969), vol.64, issue.3, pp.479-486, 1969. ,
DOI : 10.1016/0022-2364(85)90111-8
Parametric Dictionary Learning for Modeling EAP and ODF in Diffusion MRI, Medical Image Computing and Computer-Assisted Intervention?MICCAI 2012, pp.10-17, 2012. ,
DOI : 10.1007/978-3-642-33454-2_2
URL : https://hal.archives-ouvertes.fr/hal-00728067
Impact of Radial and Angular Sampling on Multiple Shells Acquisition in Diffusion MRI, MICCAI, pp.113-121, 2011. ,
DOI : 10.1002/mrm.21391
URL : https://hal.archives-ouvertes.fr/hal-00614387
Parametric Dictionary Learning for Modeling EAP and ODF in Diffusion MRI, Lecture Notes in Computer Science series MICCAI 2012, p.7512, 2012. ,
DOI : 10.1007/978-3-642-33454-2_2
URL : https://hal.archives-ouvertes.fr/hal-00728067
Parametric dictionary learning in diffusion mri, HARDI Contest, ISBI -Internation Symposium on Biomedical Imaging, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00697102
A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features, Medical Image Analysis, vol.17, issue.7, 2013. ,
DOI : 10.1016/j.media.2013.04.011
URL : https://hal.archives-ouvertes.fr/hal-00820817
Spherical Polar Fourier EAP and odf reconstruction via compressed sensing in diffusion mri, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011. ,
DOI : 10.1109/ISBI.2011.5872425
URL : https://hal.archives-ouvertes.fr/inria-00585694
Diffusion and multiple orientations from 1.5 mr systems with limited gradient tables, ISMRM 20th Annual Meeting, p.1922, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00712686
Compressed sensing for accelerated eap recovery in diffusion mri, Proceedings Computational Diffusion MRI -MICCAI Workshop, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00536278
Ensemble average propagator reconstruction via compressed sensing: Discrete or continuous bases, ISMRM 20th Annual Meeting, p.2277, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00712687
A comparison of sampling strategies and sparsifying transforms for compressed sensing dsi, Magnetic Resonance in Medicine ,
Tractography via the Ensemble Average Propagator in Diffusion MRI, Lecture Notes in Computer Science series, p.7511, 2012. ,
DOI : 10.1007/978-3-642-33418-4_42
URL : https://hal.archives-ouvertes.fr/hal-00727797
Continuous diffusion signal, eap and odf estimation via compressive sensing in diffusion mri, Medical Image Analysis, vol.17, issue.5, pp.556-572, 2013. ,
On Approximation of Orientation Distributions by Means of Spherical Ridgelets, IEEE Transactions on Image Processing, vol.19, issue.2, pp.461-477, 2010. ,
DOI : 10.1109/TIP.2009.2035886
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging, IEEE Transactions on Medical Imaging, vol.30, issue.5, pp.1100-1115, 2011. ,
DOI : 10.1109/TMI.2011.2142189
A convex semidefinite positive framework for dti estimation and regularization, Advances in Visual Computing, pp.220-229, 2007. ,
Simple harmonic oscillator based reconstruction and estimation for three-dimensional q-space mri, ISMRM 17th Annual Meeting and Exhibition, p.1396, 2009. ,
Resolution of complex tissue microarchitecture using the diffusion orientation transform (dot), NeuroImage, vol.31, issue.3, pp.1086-1103, 2006. ,
Generalized scalar measures for diffusion mri using trace, variance, and entropy, Magnetic Resonance in Medicine, vol.53, issue.4, pp.866-876, 2005. ,
Acceleration of multi-dimensional propagator measurements with compressed sensing, Journal of Magnetic Resonance, vol.213, issue.1, pp.166-170, 2011. ,
Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Diffusion tensor MR imaging of the human brain., Radiology, vol.201, issue.3, pp.637-648, 1996. ,
DOI : 10.1148/radiology.201.3.8939209
New diffusion phantoms dedicated to the study and validation of high-angular-resolution diffusion imaging (HARDI) models, Magnetic Resonance in Medicine, vol.52, issue.6, pp.1276-1283, 2008. ,
DOI : 10.1002/mrm.21789
Model-based compressive diffusion tensor imaging In Biomedical Imaging: From Nano to Macro Resonance absorption by nuclear magnetic moments in a solid, IEEE International Symposium on, pp.254-25737, 1946. ,
Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry, IEEE Transactions on Medical Imaging, vol.26, issue.8, pp.1091-1102, 2007. ,
DOI : 10.1109/TMI.2007.900461
Sparse Multi-Shell Diffusion Imaging, MICCAI, pp.58-65, 2011. ,
DOI : 10.1002/nbm.778
Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992. ,
DOI : 10.1016/0167-2789(92)90242-F
Table of integrals, series and products, 2007. ,
Sparsity characterization of the diffusion propagator, Proceedings of ISMRM, 2011. ,
The dual-tree complex wavelet transform, IEEE Signal Processing Magazine, vol.22, issue.6, pp.22123-151, 2005. ,
DOI : 10.1109/MSP.2005.1550194
Improving diffusion MRI using simultaneous multi-slice echo planar imaging, NeuroImage, vol.63, issue.1, pp.569-580, 2012. ,
DOI : 10.1016/j.neuroimage.2012.06.033
Parallel RF transmission with eight channels at 3 Tesla, Magnetic Resonance in Medicine, vol.33, issue.5, pp.1163-1171, 2006. ,
DOI : 10.1002/mrm.21042
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time???Dependent Field Gradient, The Journal of Chemical Physics, vol.42, issue.1, pp.288-292, 1965. ,
DOI : 10.1063/1.1695690
Compressed sensing in diffuse optical tomography, Optics Express, vol.18, issue.23, pp.23676-23690, 2010. ,
DOI : 10.1364/OE.18.023676
Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996. ,
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution, NeuroImage, vol.35, issue.4, pp.1459-1472, 2007. ,
DOI : 10.1016/j.neuroimage.2007.02.016
Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data, NeuroImage, vol.42, issue.2, pp.617-625, 2008. ,
DOI : 10.1016/j.neuroimage.2008.05.002
Probabilistic odf estimation from reduced hardi data with sparse regularization. Medical Image Computing and Computer-Assisted Intervention-MICCAI, pp.182-190, 2011. ,
Estimation of fiber Orientation Probability Density Functions in High Angular Resolution Diffusion Imaging, NeuroImage, vol.47, issue.2, pp.638-650, 2009. ,
DOI : 10.1016/j.neuroimage.2009.04.049
Highly Undersampled Magnetic Resonance Image Reconstruction via Homotopic <formula formulatype="inline"><tex Notation="TeX">$\ell_{0}$</tex> </formula>-Minimization, IEEE Transactions on Medical Imaging, vol.28, issue.1, pp.106-121, 2009. ,
DOI : 10.1109/TMI.2008.927346
Variational frameworks for DT-MRI estimation, regularization and visualization, Proceedings Ninth IEEE International Conference on Computer Vision, pp.116-121, 2003. ,
DOI : 10.1109/ICCV.2003.1238323
Q-ball imaging, Magnetic Resonance in Medicine, vol.23, issue.6, pp.1358-1372, 2004. ,
DOI : 10.1002/mrm.20279
Diffusion MRI of complex tissue structure, 2002. ,
Quantification of increased cellularity during inflammatory demyelination, Brain, vol.134, issue.12, pp.1343590-3601, 2011. ,
DOI : 10.1093/brain/awr307
Compressed sensing with cross validation Information Theory, IEEE Transactions on, vol.55, issue.12, pp.5773-5782, 2009. ,
Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging, Magnetic Resonance in Medicine, vol.118, issue.6, pp.1377-1386, 2005. ,
DOI : 10.1002/mrm.20642
Mapping fiber orientation spectra in cerebral white matter with fourier transform diffusion mri, Proceedings of the 8th Annual Meeting of ISMRM, p.82, 2000. ,
Geometrical diffusion measures for mri from tensor basis analysis, Proceedings of ISMRM, p.1742, 1997. ,
Compressed sensing imaging techniques for radio interferometry, Monthly Notices of the Royal Astronomical Society, vol.395, issue.3, pp.1733-1742, 2009. ,
DOI : 10.1111/j.1365-2966.2009.14665.x
URL : https://hal.archives-ouvertes.fr/inria-00369428
Compressed sensing for practical optical imaging systems: A tutorial, IEEE Photonics Conference 2012, pp.72601-072601, 2011. ,
DOI : 10.1109/IPCon.2012.6358756
Hybrid diffusion imaging, Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, pp.617-629, 2007. ,
DOI : 10.1016/j.neuroimage.2007.02.050
An over-complete dictionary based regularized reconstruction of a field of ensemble average propagators, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.940-943, 2012. ,
DOI : 10.1109/ISBI.2012.6235711
A modelbased method with joint sparsity constraint for direct diffusion tensor estimation, Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, pp.510-513, 2012. ,
L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, vol.27, issue.3, 2010. ,
DOI : 10.1109/MSP.2010.936023
URL : https://hal.archives-ouvertes.fr/inria-00567455