CoChat
Sign Up
Cited by 117Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications

The sensitivity of diffusion MRI to microstructural properties and experimental factors

Open access
Afzali, Maryam, Pieciak, Tomasz, Newman, Sharlene, Garyfallidis, Eleftherios, Özarslan, Evren, Cheng, Hu, Jones, Derek K·2021·Journal of Neuroscience Methods
DOI 10.1016/j.jneumeth.2020.108951PMC PMC7762827
Open this paper in CoChat — free accountOpen PDF

Abstract

Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the microstructural properties of tissue, including size and anisotropy, can be represented in the signal if the appropriate method of acquisition is used. However, to depict the underlying properties, special care must be taken when designing the acquisition protocol as any changes in the procedure might impact on quantitative measurements. This work reviews state-of-the-art methods for studying brain microstructure using diffusion MRI and their sensitivity to microstructural differences and various experimental factors. Microstructural properties of the tissue at a micrometer scale can be linked to the diffusion signal at a millimeter-scale using modeling. In this paper, we first give an introduction to diffusion MRI and different encoding schemes. Then, signal representation-based methods and multi-compartment models are explained briefly. The sensitivity of the diffusion MRI signal to the microstructural components and the effects of curvedness of axonal trajectories on the diffusion signal are reviewed. Factors that impact on the quality (accuracy and precision) of derived metrics are then reviewed, including the impact of random noise, and variations in the acquisition parameters (i.e., number of sampled signals, b-value and number of acquisition shells). Finally, yet importantly, typical approaches to deal with experimental factors are depicted, including unbiased measures and harmonization. We conclude the review with some future directions and recommendations on this topic.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jneumeth.2020.108951

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Tractography results are sensitive to the choice of the underlying fiber tracking algorithm, which can affect subsequent quantitative analyses using the tractography data.

    “It is important to note that tractography is known to be sensitive to the choice of the underlying fiber tracking algorithms, which can further affect any subsequent quantitative analyses using the tractography data.”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Afzali et al., 2020

    The Microstructure models > Effect of model fitting passage mentions combining global tractography with microstructure estimation, but does not compare fiber-tracking algorithms or their effects on analyses of tractography data. Searches for tractography and tracking algorithms found no passage in our copy addressing that specific claim; pages were not provided. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 380

  1. Abe O. Aoki S. Hayashi N. Yamada H. Kunimatsu A. Mori H. Yoshikawa T. Okubo T. Ohtomo K. Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis Neurobiol. Aging 23 3 2002 433 441 11959406
  2. Aboitiz F. Scheibel A.B. Fisher R.S. Zaidel E. Fiber composition of the human corpus callosum Brain Res. 598 1–2 1992 143 153 1486477
  3. Afzali M. Aja-Fernández S. Jones D.K. Direction-averaged diffusion-weighted MRI signal using different axisymmetric b-tensor encoding schemes Magn. Reson. Med. 2020 PMC7318161 32080890
  4. Afzali M. Soltanian-Zadeh H. Elisevich K.V. Tract based spatial statistical analysis and voxel based morphometry of diffusion indices in temporal lobe epilepsy Comput. Biol. Med. 41 12 2011 1082 1091 21616484
  5. Afzali M. Yolcu C. Özarslan E. Characterizing diffusion anisotropy for molecules under the influence of a parabolic potential: a plausible alternative to DTI Proc. Intl. Soc. Mag. Reson. Med., vol. 23 2015 2795
  6. Aja-Fernández S. Brion V. Tristán-Vega A. Effective noise estimation and filtering from correlated multiple-coil MR data Magn. Reson. Imaging 31 2 2013 272 285 23122024
  7. Aja-Fernández S. Krissian K. An unbiased non-local means scheme for DWI filtering Proceedings of the Medical Image Computing and Computer Assisted Intervention: Workshop on Computational Diffusion MRI, Citeseer 2008 277 284
  8. Aja-Fernández S. de Luis-García R. Afzali M. Molendowska M. Pieciak T. Tristán-Vega A. Microstructure diffusion scalar measures from reduced MRI acquisitions PLOS ONE 15 3 2020 10.1101/772897 PMC7062271 32150547 · DOI
  9. Aja-Fernández S. Pieciak T. Tristán-Vega A. Vegas-Sánchez-Ferrero G. Molina V. de Luis-García R. Scalar diffusion-MRI measures invariant to acquisition parameters: a first step towards imaging biomarkers Magn. Reson. Imaging 54 2018 194 213 30196167
  10. Aja-Fernández S. Pieciak T. Vegas-Sánchez-Ferrero G. Spatially variant noise estimation in MRI: a homomorphic approach Med. Image Anal. 20 1 2015 184 197 25499191
  11. Aja-Fernández S. Tristán-Vega A. Alberola-López C. Noise estimation in single- and multiple-coil magnetic resonance data based on statistical models Magn. Reson. Imaging 27 10 2009 1397 1409 19570640
  12. Aja-Fernández S. Tristán-Vega A. Hoge W.S. Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model Magn. Reson. Med. 65 4 2011 1195 1206 21413083 PMC3955201
  13. Aja-Fernández S. Tristán-Vega A. Molendowska M. Pieciak T. de Luis-García R. Return-to-axis probability calculation from single-shell acquisitions International Conference on Medical Image Computing and Computer-Assisted Intervention 2019 29 41
  14. Aja-Fernández S. Vegas-Sánchez-Ferrero G. Statistical analysis of noise in MRI 2016 Springer International Publishing Switzerland
  15. Aja-Fernández S. Vegas-Sánchez-Ferrero G. Tristán-Vega A. Noise estimation in parallel MRI: GRAPPA and SENSE Magn. Reson. Imaging 32 3 2014 281 290 24418329
  16. Alexander A.L. Hasan K.M. Lazar M. Tsuruda J.S. Parker D.L. Analysis of partial volume effects in diffusion-tensor MRI Magn. Reson. Med. 45 5 2001 770 780 11323803
  17. Alexander D.C. A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features Magn. Reson. Med. 60 2 2008 439 448 18666109
  18. Alexander D.C. Dyrby T.B. Nilsson M. Zhang H. Imaging brain microstructure with diffusion MRI: practicality and applications NMR Biomed. 32 4 2019 e3841 29193413
  19. Alexander D.C. Hubbard P.L. Hall M.G. Moore E.A. Ptito M. Parker G.J. Dyrby T.B. Orientationally invariant indices of axon diameter and density from diffusion MRI Neuroimage 52 4 2010 1374 1389 20580932
  20. Alimi A. Deslauriers-Gauthier S. Matuschke F. Müller A. Muenzing S.E. Axer M. Deriche R. Analytical and fast fiber orientation distribution reconstruction in 3d-polarized light imaging Med. Image Anal. 2020 101760 32629230
  21. Anderson A.W. Measurement of fiber orientation distributions using high angular resolution diffusion imaging Magn. Reson. Med. 54 5 2005 1194 1206 16161109
  22. Ankele M. Schultz T. Quantifying microstructure in fiber crossings with diffusional kurtosis International Conference on Medical Image Computing and Computer-Assisted Intervention 2015 150 157
  23. Ankele M.P. Higher-Order Tensors and Differential Topology in Diffusion MRI Modeling and Visualization (Ph.D. thesis) 2019 Universitäts-und Landesbibliothek Bonn
  24. Åslund I. Nowacka A. Nilsson M. Topgaard D. Filter-exchange PGSE NMR determination of cell membrane permeability J. Magn. Reson. 200 2 2009 291 295 19647458
  25. Assaf Y. Basser P.J. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain Neuroimage 27 1 2005 48 58 15979342
  26. Assaf Y. Blumenfeld-Katzir T. Yovel Y. Basser P.J. Axcaliber: a method for measuring axon diameter distribution from diffusion MRI Magn. Reson. Med. 59 6 2008 1347 1354 18506799 PMC4667732
  27. Assaf Y. Freidlin R.Z. Rohde G.K. Basser P.J. New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter Magn. Reson. Med. 52 5 2004 965 978 15508168
  28. Assaf Y. Mayk A. Cohen Y. Displacement imaging of spinal cord using q-space diffusion-weighted MRI Magn. Reson. Med. 44 5 2000 713 722 11064406
  29. Avram A.V. Özarslan E. Sarlls J.E. Basser P.J. In vivo detection of microscopic anisotropy using quadruple pulsed-field gradient (qPFG) diffusion MRI on a clinical scanner Neuroimage 64 2013 229 239 10.1016/j.neuroimage.2012.08.048 22939872 PMC3520437 · DOI
  30. Avram A.V. Sarlls J.E. Barnett A.S. Özarslan E. Thomas C. Irfanoglu M.O. Hutchinson E. Pierpaoli C. Basser P.J. Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure Neuroimage 127 2016 422 434 26584864 PMC4755846
  31. Avram L. Özarslan E. Assaf Y. Bar-Shir A. Cohen Y. Basser P.J. Three-dimensional water diffusion in impermeable cylindrical tubes: theory versus experiments NMR Biomed. 21 8 2008 888 898 18574856 PMC7477620
  32. Balls G.T. Frank L.R. A simulation environment for diffusion weighted MR experiments in complex media Magn. Reson. Med. 62 3 2009 771 778 19488991 PMC3820418
  33. Barazany D. Basser P.J. Assaf Y. In vivo measurement of axon diameter distribution in the corpus callosum of rat brain Brain 132 5 2009 1210 1220 19403788 PMC2677796
  34. Barazany D. Jones D. Assaf Y. Axcaliber 3d Proc. Int. Soc. Magn. Reson. Med. vol. 19 2011 76
  35. Barrio-Arranz G. de Luis-Garcia R. Tristán-Vega A. Martin-Fernandez M. Aja-Fernández S. Impact of MR acquisition parameters on DTI scalar indexes: a tractography based approach PLoS ONE 10 10 2015 PMC4601730 26457415
  36. Baselice F. Ferraioli G. Pascazio V. Sorriso A. Bayesian MRI denoising in complex domain Magn. Reson. Imaging 38 2017 112 122 28057481
  37. Basser P.J. Relationships between diffusion tensor and q-space MRI Magn. Reson. Med. 47 2002 392 397 11810685
  38. Basser P.J. Mattiello J. LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo J. Magn. Reson. Ser. B 103 3 1994 247 254 8019776
  39. Basser P.J. Mattiello J. LeBihan D. MR diffusion tensor spectroscopy and imaging Biophys. J. 66 1 1994 259 8130344 PMC1275686
  40. Basser P.J. Pajevic S. Pierpaoli C. Duda J. Aldroubi A. In vivo fiber tractography using DT-MRI data Magn. Reson. Med. 44 4 2000 625 632 11025519
  41. Bastiani M. Cottaar M. Dikranian K. Ghosh A. Zhang H. Alexander D.C. Behrens T.E. Jbabdi S. Sotiropoulos S.N. Improved tractography using asymmetric fibre orientation distributions Neuroimage 158 2017 205 218 28669902 PMC6318223
  42. Baumann N. Pham-Dinh D. Biology of oligodendrocyte and myelin in the mammalian central nervous system Physiol. Rev. 81 2 2001 871 927 11274346
  43. Beaulieu C. Allen P.S. Determinants of anisotropic water diffusion in nerves Magn. Reson. Med. 31 4 1994 394 400 8208115
  44. Behrens T.E. Berg H.J. Jbabdi S. Rushworth M.F. Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34 1 2007 144 155 17070705 PMC7116582
  45. Behrens T.E. Woolrich M.W. Jenkinson M. Johansen-Berg H. Nunes R.G. Clare S. Matthews P.M. Brady J.M. Smith S.M. Characterization and propagation of uncertainty in diffusion-weighted MR imaging Magn. Reson. Med. 50 5 2003 1077 1088 14587019
  46. Belli G. Busoni S. Ciccarone A. Coniglio A. Esposito M. Giannelli M. Mazzoni L.N. Nocetti L. Sghedoni R. Tarducci R. Quality assurance multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging J. Magn. Reson. Imaging 43 1 2016 213 219 26013043
  47. Benga G. Pop V.I. Popescu O. Borza V. On measuring the diffusional water permeability of human red blood cells and ghosts by nuclear magnetic resonance J. Biochem. Biophys. Methods 21 2 1990 87 102 10.1016/0165-022x(90)90057-j 2177070 · DOI
  48. Benga G. Pop V.I. Popescu O. Hodarnau A. Borza V. Presecan E. Effects of temperature on water diffusion in human erythrocytes and ghosts – nuclear magnetic resonance studies Biochim. Biophys. Acta 905 1987 339 348 2825782
  49. Benjamini D. Komlosh M.E. Basser P.J. Nevo U. Nonparametric pore size distribution using d-PFG: comparison to s-PFG and migration to MRI J. Magn. Reson. 246 2014 36 45 25064269 PMC7477619
  50. Bouhrara M. Bonny J.M. Ashinsky B.G. Maring M.C. Spencer R.G. Noise estimation and reduction in magnetic resonance imaging using a new multispectral nonlocal maximum-likelihood filter IEEE Trans. Med. Imaging 36 1 2016 181 193 27552743 PMC5958909
  51. Boujraf S. Luypaert R. Eisendrath H. Osteaux M. Echo planar magnetic resonance imaging of anisotropic diffusion in asparagus stems Magn. Reson. Mater. Phys. Biol. Med. 13 2 2001 82 90 11502422
  52. Braak H. Braak E. Staging of Alzheimer’s disease-related neurofibrillary changes Neurobiol. Aging 16 3 1995 271 278 7566337
  53. Brabec J. Lasic S. Nilsson M. Time-dependent diffusion in undulating structures: impact on axon diameter estimation 2019 arXiv preprint arXiv:190304536 PMC7027526 31868995
  54. Brooks J.C.W. Faull O.K. Pattinson K.T. Jenkinson M. Physiological noise in brainstem fMRI Front. Hum. Neurosci. 7 2013 623 24109446 PMC3790256
  55. Brubaker C.J. Schmithorst V.J. Haynes E.N. Dietrich K.N. Egelhoff J.C. Lindquist D.M. Lanphear B.P. Cecil K.M. Altered myelination and axonal integrity in adults with childhood lead exposure: a diffusion tensor imaging study Neurotoxicology 30 6 2009 867 875 PMC2789851 19619581
  56. Bruce I.P. Petty C. Song A.W. Simultaneous and inherent correction of B0 and eddy-current induced distortions in high-resolution diffusion MRI using reversed polarity gradients and multiplexed sensitivity encoding (RPG-MUSE) Neuroimage 183 2018 985 993 30243955 PMC6631373
  57. Burcaw L.M. Fieremans E. Novikov D.S. Mesoscopic structure of neuronal tracts from time-dependent diffusion Neuroimage 114 2015 18 37 25837598 PMC4446209
  58. Buzsáki G. Logothetis N. Singer W. Scaling brain size, keeping timing: evolutionary preservation of brain rhythms Neuron 80 3 2013 751 764 24183025 PMC4009705
  59. Callaghan P.T. Principles of Nuclear Magnetic Resonance Microscopy 1991 Oxford Science Publications Corby e 60.00, 492 pp., hardcover, ISBN 0-19-853944-4
  60. Callaghan P. Jolley K. Lelievre J. Diffusion of water in the endosperm tissue of wheat grains as studied by pulsed field gradient nuclear magnetic resonance Biophys. J. 28 1 1979 133 141 262443 PMC1328615
  61. Callaghan P.T. Principles of Nuclear Magnetic Resonance Microscopy 1993 Oxford University Press on Demand
  62. Callaghan P.T. Translational Dynamics and Magnetic Resonance: Principles of Pulsed Gradient Spin Echo NMR 2011 Oxford University Press New York
  63. Callaghan P.T. Furó I. Diffusion–diffusion correlation and exchange as a signature for local order and dynamics J. Chem. Phys. 120 8 2004 4032 4038 10.1063/1.1642604 15268569 · DOI
  64. Callaghan P.T. Godefroy S. Ryland B.N. Use of the second dimension in PGSE NMR studies of porous media Magn. Reson. Imaging 21 3–4 2003 243 248 10.1016/s0730-725x(03)00131-0 12850714 · DOI
  65. Caminiti R. Ghaziri H. Galuske R. Hof P.R. Innocenti G.M. Evolution amplified processing with temporally dispersed slow neuronal connectivity in primates Proc. Natl. Acad. Sci. 2009 pnas-0907655106 PMC2770441 19875694
  66. Cetin Karayumak S. Özarslan E. Unal G. Asymmetric orientation distribution functions (AODFs) revealing intravoxel geometry in diffusion MRI Magn. Reson. Imaging 49 2018 145 158 10.1016/j.mri.2018.03.006 29550369 · DOI
  67. Chen G. Dong B. Zhang Y. Lin W. Shen D. Yap P.T. Denoising of diffusion MRI data via graph framelet matching in xq space IEEE Trans. Med. Imaging 38 12 2019 2838 2848 31071025 PMC8325050
  68. Chen G. Wu Y. Shen D. Yap P.T. Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space Med. Image Anal. 53 2019 79 94 30703580 PMC6397790
  69. Cheng H. Newman S. Afzali M. Fadnavis S.S. Garyfallidis E. Segmentation of the brain using direction-averaged signal of DWI images Magn. Reson. Imaging 2020 32088291
  70. Choe A. Stepniewska I. Colvin D. Ding Z. Anderson A. Validation of diffusion tensor MRI in the central nervous system using light microscopy: quantitative comparison of fiber properties NMR Biomed. 25 7 2012 900 908 22246940 PMC4818098
  71. Chuhutin A. Hansen B. Jespersen S.N. Precision and accuracy of diffusion kurtosis estimation and the influence of b-value selection NMR Biomed. 30 11 2017 e3777 PMC5715207 28841758
  72. Coelho S. Pozo J.M. Jespersen S.N. Jones D.K. Frangi A.F. Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding Magn. Reson. Med. 82 1 2019 395 410 30865319 PMC6593681
  73. Constantinides C.D. Atalar E. McVeigh E.R. Signal-to-noise measurements in magnitude images from NMR phased arrays Magn. Reson. Med. 38 5 1997 852 857 9358462 PMC2570034
  74. Conturo T.E. Lori N.F. Cull T.S. Akbudak E. Snyder A.Z. Shimony J.S. McKinstry R.C. Burton H. Raichle M.E. Tracking neuronal fiber pathways in the living human brain Proc. Natl. Acad. Sci. 96 18 1999 10422 10427 10468624 PMC17904
  75. Cordero-Grande L. Christiaens D. Hutter J. Price A.N. Hajnal J.V. Complex diffusion-weighted image estimation via matrix recovery under general noise models Neuroimage 200 2019 391 404 31226495 PMC6711461
  76. Cory D. Garroway A. Miller J. Applications of spin transport as a probe of local geometry Abstracts of Papers of the American Chemical Society. Amer. Chemical. Soc., Washington, DC, vol. 199 1990 p. 105-POLY
  77. Daducci A. Canales-Rodríguez E.J. Zhang H. Dyrby T.B. Alexander D.C. Thiran J.P. Accelerated microstructure imaging via convex optimization (AMICO) from diffusion MRI data Neuroimage 105 2015 32 44 25462697
  78. D’Arceuil H.E. Westmoreland S. de Crespigny A.J. An approach to high resolution diffusion tensor imaging in fixed primate brain Neuroimage 35 2 2007 553 565 17292630
  79. De Santis S. Drakesmith M. Bells S. Assaf Y. Jones D.K. Why diffusion tensor MRI does well only some of the time: variance and covariance of white matter tissue microstructure attributes in the living human brain Neuroimage 89 2014 35 44 24342225 PMC3988851
  80. De Santis S. Jones D.K. Roebroeck A. Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter Neuroimage 130 2016 91 103 26826514 PMC4819719
  81. Den Dekker A. Sijbers J. Data distributions in magnetic resonance images: a review Phys. Med. 30 7 2014 725 741 25059432
  82. Descoteaux M. Deriche R. Le Bihan D. Mangin J.F. Poupon C. Multiple q-shell diffusion propagator imaging Med. Image Anal. 15 4 2011 603 621 20685153
  83. Dietrich O. Raya J.G. Reeder S.B. Ingrisch M. Reiser M.F. Schoenberg S.O. Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics Magn. Reson. Imaging 26 6 2008 754 762 18440746
  84. Ding F. O’Donnell J. Xu Q. Kang N. Goldman N. Nedergaard M. Changes in the composition of brain interstitial ions control the sleep-wake cycle Science 352 6285 2016 550 555 27126038 PMC5441687
  85. Drakesmith M. Harms R. Rudrapatna S.U. Parker G.D. Evans C.J. Jones D.K. Estimating axon conduction velocity in vivo from microstructural MRI Neuroimage 203 2019 116186 31542512 PMC6854468
  86. Drobnjak I. Alexander D.C. Optimising time-varying gradient orientation for microstructure sensitivity in diffusion-weighted MR J. Magn. Reson. 212 2 2011 344 354 21889378
  87. Drobnjak I. Siow B. Alexander D.C. Optimizing gradient waveforms for microstructure sensitivity in diffusion-weighted MR J. Magn. Reson. 206 1 2010 41 51 20580294
  88. Drobnjak I. Zhang H. Ianuş A. Kaden E. Alexander D.C. PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: insight from a simulation study Magn. Reson. Med. 75 2 2016 688 700 25809657 PMC4975609
  89. Dyrby T.B. Baaré W.F. Alexander D.C. Jelsing J. Garde E. Søgaard L.V. An ex vivo imaging pipeline for producing high-quality and high-resolution diffusion-weighted imaging datasets Hum. Brain Mapp. 32 4 2011 544 563 20945352 PMC6870191
  90. Dyrby T.B. S? gaard L.V. Hall M.G. Ptito M. Alexander D.C. Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI Magn. Reson. Med. 70 3 2013 711 721 23023798 PMC4199276
  91. Eriksson S. Lasič S. Nilsson M. Westin C.F. Topgaard D. NMR diffusion-encoding with axial symmetry and variable anisotropy: distinguishing between prolate and oblate microscopic diffusion tensors with unknown orientation distribution J. Chem. Phys. 142 10 2015 104201 25770532 PMC4359170
  92. Fadić R. Vergara J. Alvarez J. Microtubules and caliber of central and peripheral processes of sensory axons J. Comp. Neurol. 236 2 1985 258 264 4056096
  93. Fadnavis S. Farooq H. Afzali M. Lenglet C. Georgiou T. Cheng H. Newman S. Rokem A. Ahmed S. Henriques R.N. Fitting IVIM with variable projection and simplicial optimization 2019 arXiv preprint arXiv:191000095
  94. Fadnavis S. Reisert M. Farooq H. Afzali M. Hu C. Amirbekian B. Garyfallidis E. Microlearn: Framework for machine learning, reconstruction, optimization and microstructure modeling Proc. Intl. Soc. Mag. Reson. Med. 2019
  95. Farooq H. Xu J. Nam J.W. Keefe D.F. Yacoub E. Georgiou T. Lenglet C. Microstructure imaging of crossing (MIX) white matter fibers from diffusion MRI Sci. Rep. 6 2016 38927 27982056 PMC5159854
  96. Fazekas F. Chawluk J.B. Alavi A. Hurtig H.I. Zimmerman R.A. MR signal abnormalities at 1.5 t in Alzheimer’s dementia and normal aging Am. J. Roentgenol. 149 2 1987 351 356 3496763
  97. Ferizi U. Scherrer B. Schneider T. Alipoor M. Eufracio O. Fick R.H. Deriche R. Nilsson M. Loya-Olivas A.K. Rivera M. Diffusion MRI microstructure models with in vivo human brain connectome data: results from a multi-group comparison NMR Biomed. 30 9 2017 e3734 PMC5563694 28643354
  98. Fiala, J., Spacek, J., Harris, K., 2007. Dendrite structure. In: Stuart, G., Spruston, N., Hausser, M. (Eds.), Dendrites.
  99. Fick R.H. Wassermann D. Caruyer E. Deriche R. MAPL: tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data Neuroimage 134 2016 365 385 27043358
  100. Fieremans E. Jensen J.H. Helpern J.A. White matter characterization with diffusional kurtosis imaging Neuroimage 58 1 2011 177 188 21699989 PMC3136876
  101. Fieremans E. Lee H.H. Physical and numerical phantoms for the validation of brain microstructural MRI: a cookbook Neuroimage 182 2018 39 61 29920376 PMC6175674
  102. Fieremans E. Veraart J. Benjamin A. Filip S. Nilsson M. Novikov D. Effect of combining linear with spherical tensor encoding on estimating brain microstructural parameters Proceedings of the ISMRM, Paris 2018
  103. Finsterbusch J. Eddy-current compensated diffusion weighting with a single refocusing RF pulse Magn. Reson. Med. 61 3 2009 748 754 19132755
  104. Finsterbusch J. Extension of the double-wave-vector diffusion-weighting experiment to multiple concatenations J. Magn. Reson. 198 2 2009 174 182 10.1016/j.jmr.2009.02.003 19268616 · DOI
  105. Finsterbusch J. The parallel–antiparallel signal difference in double-wave-vector diffusion-weighted MR at short mixing times: a phase evolution perspective J. Magn. Reson. 208 1 2011 114 121 21075027
  106. Ford J.C. Hackney D.B. Numerical model for calculation of apparent diffusion coefficients (ADC) in permeable cylinders-comparison with measured ADC in spinal cord white matter Magn. Reson. Med. 37 3 1997 387 394 9055229
  107. Fried J. Combarnous M. Dispersion in porous media Advances in Hydroscience vol. 7 1971 Elsevier 169 282
  108. Frigo M. Fick R.H. Zucchelli M. Deslauriers-Gauthier S. Deriche R. Multi tissue modelling of diffusion MRI signal reveals volume fraction bias 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) 2020 991 994
  109. Furo I. Dvinskikh S.V. NMR methods applied to anisotropic diffusion Magn. Reson. Chem. 40 13 2002 S3 S14 12807139
  110. Gahm J.K. Kindlmann G. Ennis D.B. The effects of noise over the complete space of diffusion tensor shape Med. Image Anal. 18 1 2014 197 210 24239734
  111. Gehrmann J. Matsumoto Y. Kreutzberg G.W. Microglia: intrinsic immuneffector cell of the brain Brain Res. Rev. 20 3 1995 269 287 7550361
  112. van Gelderen P. de Vleeschouwer M.H. DesPres D. Pekar J. van Zijl P.C. Moonen C.T. Water diffusion and acute stroke Magn. Reson. Med. 31 2 1994 154 163 8133751
  113. Gore J.C. Xu J. Colvin D.C. Yankeelov T.E. Parsons E.C. Does M.D. Characterization of tissue structure at varying length scales using temporal diffusion spectroscopy NMR Biomed. 23 7 2010 745 756 20677208 PMC3285511
  114. Greiner A. Wendorff J.H. Electrospinning: a fascinating method for the preparation of ultrathin fibers Angew. Chem. Int. Ed. 46 30 2007 5670 5703 17585397
  115. Griswold M.A. Jakob P.M. Heidemann R.M. Nittka M. Jellus V. Wang J. Kiefer B. Haase A. Generalized autocalibrating partially parallel acquisitions (GRAPPA) Magn. Reson. Med. 47 6 2002 1202 1210 12111967
  116. Gudbjartsson H. Patz S. The Rician distribution of noisy MRI data Magn. Reson. Med. 34 6 1995 910 914 8598820 PMC2254141
  117. Gurcan M.N. Boucheron L.E. Can A. Madabhushi A. Rajpoot N.M. Yener B. Histopathological image analysis: a review IEEE Rev. Biomed. Eng. 2 2009 147 171 20671804 PMC2910932
  118. Haije T.D. Özarslan E. Feragen A. Enforcing necessary non-negativity constraints for common diffusion MRI models using sum of squares programming Neuroimage 209 2020 116405 31846758
  119. Håkansson B. Pons R. Söderman O. Diffraction-like effects in a highly concentrated w/o emulsion: a PFG NMR study Magn. Reson. Imaging 16 5–6 1998 643 646 9803929
  120. Hall M.G. Alexander D.C. Convergence and parameter choice for Monte-Carlo simulations of diffusion MRI IEEE Trans. Med. Imaging 28 9 2009 1354 1364 19273001
  121. Harms R.L. Fritz F. Tobisch A. Goebel R. Roebroeck A. Robust and fast nonlinear optimization of diffusion MRI microstructure models Neuroimage 155 2017 82 96 28457975 PMC5518773
  122. Heidemann R.M. Anwander A. Feiweier T. Knösche T.R. Turner R. k-space and q-space: combining ultra-high spatial and angular resolution in diffusion imaging using ZOOPPA at 7 T Neuroimage 60 2 2012 967 978 22245337
  123. Helmer K.G. Chou M.C. Preciado R. Gimi B. Rollins N. Song A. Turner J. Mori S. Multi-site study of diffusion metric variability: characterizing the effects of site, vendor, field strength, and echo time using the histogram distance Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 9788 2016 97881G PMC4919981 27350723
  124. Henkelman R.M. Measurement of signal intensities in the presence of noise in MR images Med. Phys. 12 2 1985 232 233 4000083
  125. Herberthson M. Yolcu C. Knutsson H. Westin C.F. Özarslan E. Orientationally-averaged diffusion-attenuated magnetic resonance signal for locally-anisotropic diffusion Sci. Rep. 9 1 2019 4899 30894611 PMC6426978
  126. Hosseinbor A.P. Chung M.K. Wu Y.C. Alexander A.L. Bessel Fourier orientation reconstruction (BFOR): an analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices Neuroimage 64 2013 650 670 22963853 PMC3508305
  127. Houzel J.C. Milleret C. Innocenti G. Morphology of callosal axons interconnecting areas 17 and 18 of the cat Eur. J. Neurosci. 6 6 1994 898 917 7952278
  128. Howard A.F. Mollink J. Kleinnijenhuis M. Pallebage-Gamarallage M. Bastiani M. Cottaar M. Miller K.L. Jbabdi S. Joint modelling of diffusion MRI and microscopy Neuroimage 201 2019 116014 31315062 PMC6880780
  129. Hubbard P.L. Zhou F.L. Eichhorn S.J. Parker G.J. Biomimetic phantom for the validation of diffusion magnetic resonance imaging Magn. Reson. Med. 73 1 2015 299 305 24469863
  130. Hui E.S. Glenn G.R. Helpern J.A. Jensen J.H. Kurtosis analysis of neural diffusion organization Neuroimage 106 2015 391 403 25463453 PMC4389769
  131. Hutchinson E.B. Avram A.V. Irfanoglu M.O. Koay C.G. Barnett A.S. Komlosh M.E. Özarslan E. Schwerin S.C. Juliano S.L. Pierpaoli C. Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models Magn. Reson. Med. 78 5 2017 1767 1780 28090658 PMC6084345
  132. Huynh K.M. Chen G. Wu Y. Shen D. Yap P.T. Multi-site harmonization of diffusion MRI data via method of moments IEEE Trans. Med. Imaging 38 7 2019 1599 1609 30676953 PMC6606391
  133. Huynh K.M. Xu T. Wu Y. Thung K.H. Chen G. Lin W. Shen D. Yap P.T. Characterizing non-Gaussian diffusion in heterogeneously oriented tissue microenvironments International Conference on Medical Image Computing and Computer-Assisted Intervention 2019 556 563 PMC8386190 34447976
  134. Huynh K.M. Xu T. Wu Y. Wang X. Chen G. Wu H. Thung K.H. Lin W. Shen D. Yap P.T. Probing tissue microarchitecture of the baby brain via spherical mean spectrum imaging IEEE Trans. Med. Imaging 2020 PMC7688284 32746109
  135. Ianuş A. Drobnjak I. Alexander D.C. Model-based estimation of microscopic anisotropy using diffusion MRI: a simulation study NMR Biomed. 29 5 2016 672 685 27003223
  136. Ianuş A. Jespersen S.N. Duarte T.S. Alexander D.C. Drobnjak I. Shemesh N. Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain Neuroimage 183 2018 934 949 30145206
  137. Ianuş A. Shemesh N. Alexander D.C. Drobnjak I. Double oscillating diffusion encoding and sensitivity to microscopic anisotropy Magn. Reson. Med. 78 2 2017 550 564 27580027 PMC5516160
  138. Inglis B. Bossart E. Buckley D. Wirth E. Mareci T. Visualization of neural tissue water compartments using biexponential diffusion tensor MRI Magn. Reson. Med. 45 4 2001 580 587 11283985
  139. Innocenti G.M. Carlén M. Dyrby T.B. The diameters of cortical axons and their relevance to neural computing Axons and Brain Architecture 2016 Elsevier 317 335
  140. Innocenti G.M. Vercelli A. Caminiti R. The diameter of cortical axons depends both on the area of origin and target Cereb. Cortex 24 8 2014 2178 2188 23529006
  141. Inoue T. Ogasawara K. Beppu T. Ogawa A. Kabasawa H. Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas Clin. Neurol. Neurosurg. 107 3 2005 174 180 15823671
  142. Jbabdi S. Sotiropoulos S.N. Savio A.M. Gra na M. Behrens T.E. Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems Magn. Reson. Med. 68 6 2012 1846 1855 22334356 PMC3359399
  143. Jelescu I. Veraart J. Fieremans E. Novikov D. Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue NMR Biomed. 29 1 2016 33 47 26615981 PMC4920129
  144. Jensen J.H. Helpern J.A. Ramani A. Lu H. Kaczynski K. Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging Magn. Reson. Med. 53 6 2005 1432 1440 15906300
  145. Jespersen S.N. Bjarkam C.R. Nyengaard J.R. Chakravarty M.M. Hansen B. Vosegaard T. Østergaard L. Yablonskiy D. Nielsen N.C. Vestergaard-Poulsen P. Neurite density from magnetic resonance diffusion measurements at ultrahigh field: comparison with light microscopy and electron microscopy Neuroimage 49 1 2010 205 216 19732836 PMC2862296
  146. Jespersen S.N. Buhl N. The displacement correlation tensor: microstructure, ensemble anisotropy and curving fibers J. Magn. Reson. 208 1 2011 34 43 21035365
  147. Jespersen S.N. Kroenke C.D. Østergaard L. Ackerman J.J. Yablonskiy D.A. Modeling dendrite density from magnetic resonance diffusion measurements Neuroimage 34 4 2007 1473 1486 17188901
  148. Jespersen S.N. Lundell H. Sønderby C.K. Dyrby T.B. Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments NMR Biomed. 26 12 2013 1647 1662 24038641
  149. Jian B. Vemuri B.C. Özarslan E. Carney P.R. Mareci T.H. A novel tensor distribution model for the diffusion-weighted MR signal Neuroimage 37 1 2007 164 176 17570683 PMC2576290
  150. Jonas J.B. Müller-Bergh J. Schlötzer-Schrehardt U. Naumann G. Histomorphometry of the human optic nerve Invest. Ophthalmol. Vis. Sci. 31 4 1990 736 744 2335441
  151. Jones D. How many shells? Investigating a long held tradition in DT-MRI Proc. Intl. Soc. Mag. Reson. Med., vol. 15 2007 4
  152. Jones D.K. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study Magn. Reson. Med. 51 4 2004 807 815 15065255
  153. Jones D.K. Diffusion MRI 2010 Oxford University Press
  154. Jones D.K. Basser P.J. “Squashing peanuts and smashing pumpkins”: how noise distorts diffusion-weighted MR data Magn. Reson. Med. 52 5 2004 979 993 15508154
  155. Just M. Thelen M. Tissue characterization with T1, T2, and proton density values: results in 160 patients with brain tumors Radiology 169 3 1988 779 785 3187000
  156. Kaden E. Kelm N.D. Carson R.P. Does M.D. Alexander D.C. Multi-compartment microscopic diffusion imaging Neuroimage 139 2016 346 359 27282476 PMC5517363
  157. Kaden E. Knösche T.R. Anwander A. Parametric spherical deconvolution: inferring anatomical connectivity using diffusion MR imaging Neuroimage 37 2 2007 474 488 17596967
  158. Kaden E. Kruggel F. Alexander D.C. Quantitative mapping of the per-axon diffusion coefficients in brain white matter Magn. Reson. Med. 75 4 2016 1752 1763 25974332 PMC4975722
  159. Karayumak S.C. Bouix S. Ning L. James A. Crow T. Shenton M. Kubicki M. Rathi Y. Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters Neuroimage 184 2019 180 200 30205206 PMC6230479
  160. Karayumak S.C. Özarslan E. Unal G. Asymmetric orientation distribution functions (AODFs) revealing intravoxel geometry in diffusion MRI Magn. Reson. Imaging 49 2018 145 158 29550369
  161. Kärger J. Pfeifer H. Heink W. Principles and application of self-diffusion measurements by nuclear magnetic resonance Advances in Magnetic and Optical Resonance, vol. 12 1988 1 89
  162. Kauppinen R.A. Monitoring cytotoxic tumour treatment response by diffusion magnetic resonance imaging and proton spectroscopy NMR Biomed. 15 1 2002 6 17 11840548
  163. King M.D. Houseman J. Roussel S.A. Van Bruggen N. Williams S.R. Gadian D.G. q-space imaging of the brain Magn. Reson. Med. 32 6 1994 707 713 7869892
  164. Kingsley P.B. Monahan W.G. Selection of the optimum b factor for diffusion-weighted magnetic resonance imaging assessment of ischemic stroke Magn. Reson. Med. 51 5 2004 996 1001 15122682
  165. Koay C.G. Basser P.J. Analytically exact correction scheme for signal extraction from noisy magnitude MR signals J. Magn. Reson. 179 2 2006 317 322 16488635
  166. Koay C.G. Chang L.C. Carew J.D. Pierpaoli C. Basser P.J. A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging J. Magn. Reson. 182 1 2006 115 125 16828568
  167. Koay C.G. Özarslan E. Johnson K.M. Meyerand M.E. Sparse and optimal acquisition design for diffusion MRI and beyond Med. Phys. 39 5 2012 2499 2511 10.1118/1.3700166 22559620 PMC3344880 · DOI
  168. Koch M.A. Finsterbusch J. Compartment size estimation with double wave vector diffusion-weighted imaging Magn. Reson. Med. 60 1 2008 90 101 18421690
  169. Komlosh M. Horkay F. Freidlin R. Nevo U. Assaf Y. Basser P. Detection of microscopic anisotropy in gray matter and in a novel tissue phantom using double pulsed gradient spin echo MR J. Magn. Reson. 189 1 2007 38 45 17869147
  170. Köpf M. Corinth C. Haferkamp O. Nonnenmacher T. Anomalous diffusion of water in biological tissues Biophys. J. 70 6 1996 2950 2958 8744333 PMC1225275
  171. Köpf M. Metzler R. Haferkamp O. Nonnenmacher T.F. NMR studies of anomalous diffusion in biological tissues: experimental observation of Lévy stable processes Losa G.A. Merlini D. Nonnenmacher T.F. Weibel E.R. Fractals in Biology and Medicine vol. 2 1998 Birkhäuser Basel 354 364
  172. Kreth F. Muacevic A. Medele R. Bise K. Meyer T. Reulen H.J. The risk of haemorrhage after image guided stereotactic biopsy of intra-axial brain tumours—a prospective study Acta Neurochir. (Wien) 143 6 2001 539 546 11534670
  173. Kroenke C.D. Ackerman J.J. Yablonskiy D.A. On the nature of the NAA diffusion attenuated MR signal in the central nervous system Magn. Reson. Med. 52 5 2004 1052 1059 15508157
  174. Kubicki M. McCarley R. Westin C.F. Park H.J. Maier S. Kikinis R. Jolesz F.A. Shenton M.E. A review of diffusion tensor imaging studies in schizophrenia J. Psychiatr. Res. 41 1–2 2007 15 30 16023676 PMC2768134
  175. Kuo L.W. Chen J.H. Wedeen V.J. Tseng W.Y.I. Optimization of diffusion spectrum imaging and q-ball imaging on clinical MRI system Neuroimage 41 1 2008 7 18 18387822
  176. LaMantia A.S. Rakic P. Cytological and quantitative characteristics of four cerebral commissures in the rhesus monkey J. Comp. Neurol. 291 4 1990 520 537 2329189
  177. Lampinen B. Szczepankiewicz F. Mårtensson J. van Westen D. Hansson O. Westin C.F. Nilsson M. Towards unconstrained compartment modeling in white matter using diffusion-relaxation MRI with tensor-valued diffusion encoding Magn. Reson. Med. 84 3 2020 1605 1623 32141131 PMC7652211
  178. Lampinen B. Szczepankiewicz F. Mårtensson J. van Westen D. Sundgren P.C. Nilsson M. Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: a model comparison using spherical tensor encoding Neuroimage 147 2017 517 531 27903438
  179. Lampinen B. Szczepankiewicz F. Novén M. Westen D. Hansson O. Englund E. Mårtensson J. Westin C. Nilsson M. Searching for the neurite density with diffusion MRI: challenges for biophysical modeling 2018 arXiv preprint arXiv:180602731v2 PMC6503974 30802367
  180. Landman B.A. Farrell J.A. Jones C.K. Smith S.A. Prince J.L. Mori S. Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T Neuroimage 36 4 2007 1123 1138 17532649 PMC12008999
  181. Lasič S. Nilsson M. Lätt J. Ståhlberg F. Topgaard D. Apparent exchange rate mapping with diffusion MRI Magn. Reson. Med. 66 2 2011 356 365 21446037
  182. Latour L.L. Svoboda K. Mitra P.P. Sotak C.H. Time-dependent diffusion of water in a biological model system Proc. Natl. Acad. Sci. 91 4 1994 1229 1233 8108392 PMC43130
  183. Lätt J. Nilsson M. Rydhög A. Wirestam R. Ståhlberg F. Brockstedt S. Effects of restricted diffusion in a biological phantom: a q-space diffusion MRI study of asparagus stems at a 3T clinical scanner Magn. Reson. Mater. Phys. Biol. Med. 20 4 2007 213 17952478
  184. Laun F.B. Kuder T.A. Semmler W. Stieltjes B. Determination of the defining boundary in nuclear magnetic resonance diffusion experiments Phys. Rev. Lett. 107 4 2011 048102 21867047
  185. Lauzon C.B. Crainiceanu C. Caffo B.C. Landman B.A. Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX Magn. Reson. Med. 69 3 2013 891 902 22611000 PMC3427474
  186. Le Bihan D. Looking into the functional architecture of the brain with diffusion MRI Nat. Rev. Neurosci. 4 6 2003 469 12778119
  187. Le Bihan D. Breton E. Lallemand D. Aubin M. Vignaud J. Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging Radiology 168 2 1988 497 505 3393671
  188. Le Doussal P. Sen P.N. Decay of nuclear magnetization by diffusion in a parabolic magnetic field: an exactly solvable model Phys. Rev. B 46 6 1992 3465 3485 10004064
  189. Lee H. Fieremans E. Novikov D. LEMONADE (t): exact relation of time-dependent diffusion signal moments to neuronal microstructure Proceedings of the 26th Annual Meeting of ISMRM, Paris, France 2018
  190. Lee H.H. Fieremans E. Novikov D.S. What dominates the time dependence of diffusion transverse to axons: intra-or extra-axonal water? Neuroimage 182 2018 500 510 29253652 PMC6004237
  191. Lee H.H. Jespersen S.N. Fieremans E. Novikov D.S. The impact of realistic axonal shape on axon diameter estimation using diffusion MRI Neuroimage 2020 117228 32798676 PMC7806404
  192. Leergaard T.B. White N.S. De Crespigny A. Bolstad I. D’Arceuil H. Bjaalie J.G. Dale A.M. Quantitative histological validation of diffusion MRI fiber orientation distributions in the rat brain PLoS ONE 5 1 2010 PMC2802592 20062822
  193. Leow A.D. Zhu S. Zhan L. McMahon K. de Zubicaray G.I. Meredith M. Wright M. Toga A. Thompson P. The tensor distribution function Magn. Reson. Med. 61 1 2009 205 214 19097208 PMC2770429
  194. Li H. Chow H.M. Chugani D.C. Chugani H.T. Minimal number of gradient directions for robust measurement of spherical mean diffusion weighted signal Magn. Reson. Imaging 54 2018 148 152 30171997 PMC6186434
  195. Li H. Gore J.C. Xu J. Fast and robust measurement of microstructural dimensions using temporal diffusion spectroscopy J. Magn. Reson. 242 2014 4 9 24583517 PMC4008665
  196. Liu C. Bammer R. Acar B. Moseley M.E. Characterizing non-Gaussian diffusion by using generalized diffusion tensors Magn. Reson. Med. 51 5 2004 924 937 15122674
  197. Lontis E.R. Nielsen K. Struijk J.J. In vitro magnetic stimulation of pig phrenic nerve with transverse and longitudinal induced electric fields: analysis of the stimulation site IEEE Trans. Biomed. Eng. 56 2 2008 500 512 19272863
  198. Lundell H. Nilsson M. Dyrby T. Parker G. Cristinacce P.H. Zhou F.L. Topgaard D. Lasič S. Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail Sci. Rep. 9 1 2019 1 12 31227745 PMC6588609
  199. Ma K. Zhang X. Zhang H. Yan X. Gao A. Song C. Wang S. Lian Y. Cheng J. Mean Apparent Propagator-MRI: a new diffusion model which improves temporal lobe epilepsy lateralization Eur. J. Radiol. 2020 108914 32197137
  200. Macovski A. Noise in MRI Magn. Reson. Med. 36 3 1996 494 497 8875425

200 of 380 shown

Cited by

Sorted by citations

Authors
Afzali, M., Pieciak, T., Newman, S., Garyfallidis, E., Özarslan, E., Cheng, H., & Jones, D. K.
Affiliations
  • Cardiff University (GB)
  • Universidad de Valladolid (ES)
  • Indiana University Bloomington (US)
  • Linköping University (SE)
Corresponding author
Afzali, Maryam
ORCID
Venue
Journal of Neuroscience Methods
Publisher
Elsevier BV
Published
2021-01
Volume
347
Pages
108951
ISSN
0165-0270 (ISSN-L)
DOI
10.1016/j.jneumeth.2020.108951
PMC
PMC7762827
OpenAlex
W3089488895
Cited by
117
References
7
Citations by year
2026: 19 · 2025: 30 · 2024: 18 · 2023: 15 · 2022: 22 · 2021: 12
FWCI
1.81
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Neuroscience Methods (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • DiVA (Linkoping University) (submittedVersion, other-oa)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion, cc-by)
Funders
  • Wellcome Trust (104943/Z/14/Z, 104943, 096646, /Z/11/Z, 096646/Z/11/Z, EP/M029778/1)
  • ITEA
  • Wolfson Foundation (096646/Z/11/Z, EP/M029778/1, 104943/Z/14/Z)
  • Stiftelsen för Strategisk Forskning (AM13-0090)
  • VINNOVA
  • Linköpings Universitet
  • Vetenskapsrådet (2016-04482)
  • ITEA3 (17021)
  • Narodowa Agencja Wymiany Akademickiej (PN/BEK/2019/1/00421)
  • National Institutes of Health
  • Engineering and Physical Sciences Research Council (EP/M00855X/1, EP/M029778/1, 104943/Z/14/Z, 096646/Z/11/Z)
  • National Institute of Biomedical Imaging and Bioengineering (R01EB027585)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
Keywords
diffusion MRI, brain microstructure, multi-compartment model, b-value, measurement noise, harmonization, white matter anisotropy
MeSH terms
Axons, Brain, Diffusion, Anisotropy, Diffusion Magnetic Resonance Imaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review