Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI
暂无分享,去创建一个
[1] 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.
[2] W. Baaré,et al. An ex vivo imaging pipeline for producing high‐quality and high‐resolution diffusion‐weighted imaging datasets , 2011, Human brain mapping.
[3] 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.
[4] J. Veraart,et al. Degeneracy in model parameter estimation for multi‐compartmental diffusion in neuronal tissue , 2016, NMR in biomedicine.
[5] Jean-Philippe Thiran,et al. Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data , 2015, NeuroImage.
[6] Steen Moeller,et al. Advances in diffusion MRI acquisition and processing in the Human Connectome Project , 2013, NeuroImage.
[7] J Hua,et al. Noise and artifact comparison for Fourier and polynomial phase correction used with Fourier reconstruction of asymmetric data sets , 1992, Journal of magnetic resonance imaging : JMRI.
[8] Daniel C. Alexander,et al. Multi-compartment microscopic diffusion imaging , 2016, NeuroImage.
[9] Jennifer A McNab,et al. Characterization of Axonal Disease in Patients with Multiple Sclerosis Using High-Gradient-Diffusion MR Imaging. , 2016, Radiology.
[10] Nikos K. Logothetis,et al. Distribution of axon diameters in cortical white matter: an electron-microscopic study on three human brains and a macaque , 2014, Biological Cybernetics.
[11] Bruce R. Rosen,et al. MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI , 2016, NeuroImage.
[12] Lawrence L. Wald,et al. High-gradient diffusion MRI reveals distinct estimates of axon diameter index within different white matter tracts in the in vivo human brain , 2019, Brain Structure and Function.
[13] P. Szeszko,et al. MRI atlas of human white matter , 2006 .
[14] Rachid Deriche,et al. Adaptive phase correction of diffusion-weighted images , 2020, NeuroImage.
[15] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[16] S. Wakana,et al. MRI Atlas of Human White Matter , 2005 .
[17] R. Henkelman. Measurement of signal intensities in the presence of noise in MR images. , 1985, Medical physics.
[18] Markus Nilsson,et al. Time‐dependent diffusion in undulating thin fibers: Impact on axon diameter estimation , 2019, NMR in biomedicine.
[19] Daniel C Alexander,et al. Undulating and crossing axons in the corpus callosum may explain the overestimation of axon diameters with ActiveAx , 2013 .
[20] L. Wald,et al. Corpus callosum axon diameter relates to cognitive impairment in multiple sclerosis , 2019, Annals of clinical and translational neurology.
[21] Walter Schneider,et al. Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength , 2018, NeuroImage.
[22] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[23] Carl-Fredrik Westin,et al. Q-space trajectory imaging for multidimensional diffusion MRI of the human brain , 2016, NeuroImage.
[24] M. Koch,et al. A tensor model and measures of microscopic anisotropy for double-wave-vector diffusion-weighting experiments with long mixing times. , 2010, Journal of magnetic resonance.
[25] C. Westin,et al. Searching for the neurite density with diffusion MRI: Challenges for biophysical modeling , 2018, Human brain mapping.
[26] Jeffrey A. Fessler,et al. Separate Magnitude and Phase Regularization via Compressed Sensing , 2012, IEEE Transactions on Medical Imaging.
[27] Sébastien Ourselin,et al. Global image registration using a symmetric block-matching approach , 2014, Journal of medical imaging.
[28] Jack L. Koenig,et al. An automatic phase correction method in nuclear magnetic resonance imaging , 1990 .
[29] Carl-Fredrik Westin,et al. Influence of the Size and Curvedness of Neural Projections on the Orientationally Averaged Diffusion MR Signal , 2018, Front. Phys..
[30] Hui Zhang,et al. Axon diameter mapping in the presence of orientation dispersion with diffusion MRI , 2011, NeuroImage.
[31] Julien Cohen-Adad,et al. The Human Connectome Project and beyond: Initial applications of 300mT/m gradients , 2013, NeuroImage.
[32] Mark Jenkinson,et al. Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging , 2017, NeuroImage.
[33] A. Scheibel,et al. Fiber composition of the human corpus callosum , 1992, Brain Research.
[34] Julien Cohen-Adad,et al. Pushing the limits of in vivo diffusion MRI for the Human Connectome Project , 2013, NeuroImage.
[35] Bruce R. Rosen,et al. Age-related alterations in axonal microstructure in the corpus callosum measured by high-gradient diffusion MRI , 2019, NeuroImage.
[36] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[37] F. Ståhlberg,et al. The importance of axonal undulation in diffusion MR measurements: a Monte Carlo simulation study , 2012, NMR in biomedicine.
[38] Bruce Fischl,et al. Improved tractography alignment using combined volumetric and surface registration , 2010, NeuroImage.
[39] Richard Bowtell,et al. Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI , 2018, NeuroImage.
[40] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[41] Edward S Hui,et al. Double‐pulsed diffusional kurtosis imaging , 2014, NMR in biomedicine.
[42] Tim B. Dyrby,et al. Axon Diameter Mapping in Crossing Fibers with Diffusion MRI , 2011, MICCAI.
[43] Kawin Setsompop,et al. Motion‐robust sub‐millimeter isotropic diffusion imaging through motion corrected generalized slice dithered enhanced resolution (MC‐gSlider) acquisition , 2018, Magnetic resonance in medicine.
[44] Stamatios N. Sotiropoulos,et al. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images , 2016, NeuroImage.
[45] Daniel C. Alexander,et al. Camino: Open-Source Diffusion-MRI Reconstruction and Processing , 2006 .
[46] Paul T. Callaghan,et al. Locally anisotropic motion in a macroscopically isotropic system: displacement correlations measured using double pulsed gradient spin‐echo NMR , 2002 .
[47] Anders M. Dale,et al. Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.
[48] Stamatios N. Sotiropoulos,et al. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.
[49] André J. W. van der Kouwe,et al. Brain morphometry with multiecho MPRAGE , 2008, NeuroImage.
[50] D. Noll,et al. Homodyne detection in magnetic resonance imaging. , 1991, IEEE transactions on medical imaging.
[51] Jelle Veraart,et al. On the scaling behavior of water diffusion in human brain white matter , 2019, NeuroImage.
[52] Daniel Topgaard. Chapter 7:NMR Methods for Studying Microscopic Diffusion Anisotropy , 2016 .
[53] Alejandro F. Frangi,et al. Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding , 2018, Magnetic resonance in medicine.
[54] D. Alexander. A general framework for experiment design in diffusion MRI and its application in measuring direct tissue‐microstructure features , 2008, Magnetic resonance in medicine.
[55] Dmitry S. Novikov,et al. What dominates the time dependence of diffusion transverse to axons: Intra- or extra-axonal water? , 2017, NeuroImage.
[56] G Larry Bretthorst. Automatic phasing of MR images. Part II: voxel-wise phase estimation. , 2008, Journal of magnetic resonance.
[57] Allen W. Song,et al. A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE) , 2013, NeuroImage.
[58] C. Sønderby,et al. Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments , 2013, NMR in biomedicine.
[59] H. Stanley,et al. Geometric Navigation of Axons in a Cerebral Pathway: Comparing dMRI with Tract Tracing and Immunohistochemistry , 2018, Cerebral cortex.
[60] F. Kruggel,et al. Quantitative mapping of the per‐axon diffusion coefficients in brain white matter , 2015, Magnetic resonance in medicine.
[61] J. Veraart,et al. Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI , 2019, Brain Structure and Function.
[62] Daniel C. Alexander,et al. Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI , 2009, IEEE Transactions on Medical Imaging.
[63] G. Larry Bretthorst. Automatic phasing of MR images. Part II: voxel-wise phase estimation. , 2008 .
[64] Zheng Chang,et al. Nonlinear phase correction with an extended statistical algorithm , 2005, IEEE Trans. Medical Imaging.
[65] Jennifer A McNab,et al. Double diffusion encoding MRI for the clinic , 2018, Magnetic resonance in medicine.
[66] S. Lasič,et al. Isotropic diffusion weighting in PGSE NMR by magic-angle spinning of the q-vector. , 2013, Journal of magnetic resonance.
[67] Derek K. Jones,et al. Noninvasive quantification of axon radii using diffusion MRI , 2020, eLife.
[68] Jelle Veraart,et al. TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T 2 relaxation times , 2017, NeuroImage.
[69] L. Wald,et al. A 64‐channel 3T array coil for accelerated brain MRI , 2013, Magnetic resonance in medicine.
[70] Bruce R. Rosen,et al. Investigating the Capability to Resolve Complex White Matter Structures with High b-Value Diffusion Magnetic Resonance Imaging on the MGH-USC Connectom Scanner , 2014, Brain Connect..
[71] Derek K. Jones,et al. “Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data , 2004, Magnetic resonance in medicine.
[72] S. T. Nichols,et al. Quantitative evaluation of several partial fourier reconstruction algorithms used in mri , 1993, Magnetic resonance in medicine.
[73] P. Basser,et al. Axcaliber: A method for measuring axon diameter distribution from diffusion MRI , 2008, Magnetic resonance in medicine.
[74] Roland Bammer,et al. Phase errors in Diffusion-Weighted Imaging , 2010 .
[75] Tim B. Dyrby,et al. Orientationally invariant indices of axon diameter and density from diffusion MRI , 2010, NeuroImage.
[76] Bruce Fischl,et al. Combined Volumetric and Surface Registration , 2009, IEEE Transactions on Medical Imaging.
[77] Carl-Fredrik Westin,et al. Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion , 2017, NMR in biomedicine.
[78] Peter J Basser,et al. Microscopic anisotropy revealed by NMR double pulsed field gradient experiments with arbitrary timing parameters. , 2008, The Journal of chemical physics.
[79] William S. Price,et al. Pulsed-field gradient nuclear magnetic resonance as a tool for studying translational diffusion, part 1: basic theory , 1997 .
[80] Julien Cohen-Adad,et al. Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast , 2015, NeuroImage.
[81] Mark F. Lythgoe,et al. Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison , 2012, NeuroImage.
[82] W. Edelstein,et al. A signal-to-noise calibration procedure for NMR imaging systems. , 1984, Medical physics.
[83] A. Anderson. Measurement of fiber orientation distributions using high angular resolution diffusion imaging , 2005, Magnetic resonance in medicine.
[84] R. Caminiti,et al. Areal differences in diameter and length of corticofugal projections. , 2012, Cerebral Cortex.
[85] R. Caminiti,et al. The diameter of cortical axons depends both on the area of origin and target. , 2014, Cerebral cortex.
[86] J. Helpern,et al. Double-pulsed diffusional kurtosis imaging. , 2014, NMR in biomedicine.
[87] M. Ptito,et al. Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI , 2012, Magnetic resonance in medicine.
[88] Sébastien Ourselin,et al. Fast free-form deformation using graphics processing units , 2010, Comput. Methods Programs Biomed..
[89] Arthur W. Toga,et al. Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.
[90] Jean-Philippe Thiran,et al. COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography , 2015, IEEE Transactions on Medical Imaging.
[91] G. Larry Bretthorst,et al. Automatic Phasing of Mr Images. Part I: Linearly Varying Phase , 2007 .
[92] Dmitry S. Novikov,et al. Mesoscopic structure of neuronal tracts from time-dependent diffusion , 2015, NeuroImage.
[93] Stefan Skare,et al. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.
[94] Thomas Witzel,et al. HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging , 2017, NeuroImage.
[95] Jelle Veraart,et al. In vivo observation and biophysical interpretation of time-dependent diffusion in human white matter , 2016, NeuroImage.
[96] W. Perman,et al. Improved detectability in low signal-to-noise ratio magnetic resonance images by means of a phase-corrected real reconstruction. , 1989, Medical physics.
[97] Steen Moeller,et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project , 2013, NeuroImage.
[98] Hui Zhang,et al. PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study , 2015, Magnetic resonance in medicine.
[99] 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.
[100] Julien Cohen-Adad,et al. The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter , 2015, NeuroImage.
[101] Yogesh Rathi,et al. High‐resolution in vivo diffusion imaging of the human brain with generalized slice dithered enhanced resolution: Simultaneous multislice (gSlider‐SMS) , 2018, Magnetic resonance in medicine.
[102] Mark W. Woolrich,et al. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.
[103] Timothy Edward John Behrens,et al. The CONNECT project: Combining macro- and micro-structure , 2013, NeuroImage.
[104] Alan Connelly,et al. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.
[105] D. Barazany,et al. AxCaliber 3D , 2010 .
[106] Peter J Basser,et al. Noninvasive bipolar double-pulsed-field-gradient NMR reveals signatures for pore size and shape in polydisperse, randomly oriented, inhomogeneous porous media. , 2010, The Journal of chemical physics.
[107] Bennett A. Landman,et al. Histological validation of diffusion MRI fiber orientation distributions and dispersion , 2018, NeuroImage.