Improved fibre dispersion estimation using b-tensor encoding

[1]  Joseph A. Helpern,et al.  Optimization of data acquisition and analysis for fiber ball imaging , 2019, NeuroImage.

[2]  Ben Jeurissen,et al.  Diffusion MRI fiber tractography of the brain , 2019, NMR in biomedicine.

[3]  Markus Nilsson,et al.  Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems , 2016, PloS one.

[4]  Alejandro F. Frangi,et al.  Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding , 2018, Magnetic resonance in medicine.

[5]  C. Westin,et al.  Maxwell‐compensated design of asymmetric gradient waveforms for tensor‐valued diffusion encoding , 2019, Magnetic resonance in medicine.

[6]  Matteo Bastiani,et al.  Joint modelling of diffusion MRI and microscopy , 2019, NeuroImage.

[7]  Jelle Veraart,et al.  On the scaling behavior of water diffusion in human brain white matter , 2019, NeuroImage.

[8]  Flavio Dell'Acqua,et al.  Modelling white matter with spherical deconvolution: How and why? , 2018, NMR in biomedicine.

[9]  M. Reisert,et al.  A unique analytical solution of the white matter standard model using linear and planar encodings , 2018, Magnetic resonance in medicine.

[10]  Stephen M. Smith,et al.  Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes , 2018, NeuroImage.

[11]  C. Westin,et al.  Searching for the neurite density with diffusion MRI: Challenges for biophysical modeling , 2018, Human brain mapping.

[12]  Bibek Dhital,et al.  Intra-axonal diffusivity in brain white matter , 2017, NeuroImage.

[13]  S. Jespersen,et al.  Effects of nongaussian diffusion on "isotropic diffusion" measurements: An ex-vivo microimaging and simulation study. , 2017, Journal of magnetic resonance.

[14]  H. Chugani,et al.  Minimal number of gradient directions for robust measurement of spherical mean diffusion weighted signal. , 2018, Magnetic resonance imaging.

[15]  Alejandra Sierra,et al.  Quantification of anisotropy and orientation in 3D electron microscopy and diffusion tensor imaging in injured rat brain , 2018, NeuroImage.

[16]  Daniel C. Alexander,et al.  Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain , 2017, NeuroImage.

[17]  Vaibhav A. Janve,et al.  Can increased spatial resolution solve the crossing fiber problem for diffusion MRI? , 2017, NMR in biomedicine.

[18]  Timothy Edward John Behrens,et al.  Improved tractography using asymmetric fibre orientation distributions , 2017, NeuroImage.

[19]  Mark Jenkinson,et al.  Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging , 2017, NeuroImage.

[20]  Markus Nilsson,et al.  Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: A model comparison using spherical tensor encoding , 2017, NeuroImage.

[21]  T. Georgiou,et al.  Microstructure Imaging of Crossing (MIX) White Matter Fibers from diffusion MRI , 2016, Scientific Reports.

[22]  Carl-Fredrik Westin,et al.  The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE) , 2016, NeuroImage.

[23]  Carl-Fredrik Westin,et al.  Q-space trajectory imaging for multidimensional diffusion MRI of the human brain , 2016, NeuroImage.

[24]  Daniel C. Alexander,et al.  Multi-compartment microscopic diffusion imaging , 2016, NeuroImage.

[25]  Daniel C. Alexander,et al.  Bingham–NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI , 2016, NeuroImage.

[26]  Bennett A. Landman,et al.  Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI , 2016, NeuroImage.

[27]  Stamatios N. Sotiropoulos,et al.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.

[28]  Joseph A. Helpern,et al.  Fiber ball imaging , 2016, NeuroImage.

[29]  P. Mitra,et al.  Conventions and nomenclature for double diffusion encoding NMR and MRI , 2016, Magnetic resonance in medicine.

[30]  F. Kruggel,et al.  Quantitative mapping of the per‐axon diffusion coefficients in brain white matter , 2015, Magnetic resonance in medicine.

[31]  C. Westin,et al.  Quanti fi cation of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure : Applications in healthy volunteers and in brain tumors , 2016 .

[32]  Carl-Fredrik Westin,et al.  Constrained optimization of gradient waveforms for generalized diffusion encoding. , 2015, Journal of magnetic resonance.

[33]  R. Goebel,et al.  Histological validation of high-resolution DTI in human post mortem tissue , 2015, Front. Neuroanat..

[34]  Alan Connelly,et al.  The effects of SIFT on the reproducibility and biological accuracy of the structural connectome , 2015, NeuroImage.

[35]  Carl-Fredrik Westin,et al.  Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors , 2015, NeuroImage.

[36]  Jean-Philippe Thiran,et al.  COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography , 2015, IEEE Transactions on Medical Imaging.

[37]  Carl-Fredrik Westin,et al.  Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding , 2014, MICCAI.

[38]  F. Pestilli,et al.  Evaluation and statistical inference for living connectomes , 2014, Nature Methods.

[39]  F. Szczepankiewicz,et al.  Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector , 2014, Front. Physics.

[40]  C. Sønderby,et al.  Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments , 2013, NMR in biomedicine.

[41]  Derek K. Jones,et al.  Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging , 2013, Human brain mapping.

[42]  S. Lasič,et al.  Isotropic diffusion weighting in PGSE NMR by magic-angle spinning of the q-vector. , 2013, Journal of magnetic resonance.

[43]  Daniel C. Alexander,et al.  NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.

[44]  F. Ståhlberg,et al.  The importance of axonal undulation in diffusion MR measurements: a Monte Carlo simulation study , 2012, NMR in biomedicine.

[45]  Timothy Edward John Behrens,et al.  Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI , 2012, NeuroImage.

[46]  Timothy E. J. Behrens,et al.  COMPARISON OF DIFFUSION MRI PREDICTIONS AND HISTOLOGY IN THE MACAQUE BRAIN , 2012 .

[47]  Susanne Schnell,et al.  Global fiber reconstruction becomes practical , 2011, NeuroImage.

[48]  Giuseppe Scotti,et al.  A modified damped Richardson–Lucy algorithm to reduce isotropic background effects in spherical deconvolution , 2010, NeuroImage.

[49]  Bruce Fischl,et al.  Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.

[50]  V. Kiselev,et al.  Gibbs tracking: A novel approach for the reconstruction of neuronal pathways , 2008, Magnetic resonance in medicine.

[51]  Rachid Deriche,et al.  Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI , 2008, NeuroImage.

[52]  R. Deriche,et al.  Regularized, fast, and robust analytical Q‐ball imaging , 2007, Magnetic resonance in medicine.

[53]  Thomas R. Knösche,et al.  Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging , 2007, NeuroImage.

[54]  Alan Connelly,et al.  Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution , 2007, NeuroImage.

[55]  Giuseppe Scotti,et al.  A Model-Based Deconvolution Approach to Solve Fiber Crossing in Diffusion-Weighted MR Imaging , 2007, IEEE Transactions on Biomedical Engineering.

[56]  Mark W. Woolrich,et al.  Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.

[57]  A. Anderson Measurement of fiber orientation distributions using high angular resolution diffusion imaging , 2005, Magnetic resonance in medicine.

[58]  A. Wood,et al.  Saddlepoint approximations for the Bingham and Fisher–Bingham normalising constants , 2005 .

[59]  D. Tuch Q‐ball imaging , 2004, Magnetic resonance in medicine.

[60]  Alan Connelly,et al.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.

[61]  Stefan Skare,et al.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.

[62]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[63]  M. Hedehus,et al.  Diffusion time dependence of the apparent diffusion tensor in healthy human brain and white matter disease , 2001, Magnetic resonance in medicine.

[64]  Stephen M. Smith,et al.  A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..

[65]  P. Basser,et al.  In vivo fiber tractography using DT‐MRI data , 2000, Magnetic resonance in medicine.

[66]  C. Nicholson,et al.  Diffusion of molecules in brain extracellular space: theory and experiment. , 2000, Progress in brain research.

[67]  Jorge Nocedal,et al.  Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.

[68]  P. Batchelor,et al.  International Society for Magnetic Resonance in Medicine , 1997 .

[69]  de Swiet TM,et al.  Possible Systematic Errors in Single-Shot Measurements of the Trace of the Diffusion Tensor , 1996, Journal of magnetic resonance. Series B.

[70]  Jorge Nocedal,et al.  A Limited Memory Algorithm for Bound Constrained Optimization , 1995, SIAM J. Sci. Comput..

[71]  A. Song,et al.  Optimized isotropic diffusion weighting , 1995, Magnetic resonance in medicine.

[72]  J. Gore,et al.  Theoretical Model for Water Diffusion in Tissues , 1995, Magnetic resonance in medicine.

[73]  P. V. van Zijl,et al.  Diffusion Weighting by the Trace of the Diffusion Tensor within a Single Scan , 1995, Magnetic resonance in medicine.

[74]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[75]  P. Callaghan,et al.  Diffusion of water in the endosperm tissue of wheat grains as studied by pulsed field gradient nuclear magnetic resonance. , 1979, Biophysical journal.

[76]  J. E. Tanner,et al.  Spin diffusion measurements : spin echoes in the presence of a time-dependent field gradient , 1965 .