Q-ball imaging

Tuch, David S.

doi:10.1002/mrm.20279

Cited by 1,880Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications

Q-ball imaging

Tuch, David S.·2004·Magnetic Resonance in Medicine

DOI 10.1002/mrm.20279

Open this paper in CoChat — free account

Abstract

Magnetic resonance diffusion tensor imaging (DTI) provides a powerful tool for mapping neural histoarchitecture in vivo. However, DTI can only resolve a single fiber orientation within each imaging voxel due to the constraints of the tensor model. For example, DTI cannot resolve fibers crossing, bending, or twisting within an individual voxel. Intravoxel fiber crossing can be resolved using q-space diffusion imaging, but q-space imaging requires large pulsed field gradients and time-intensive sampling. It is also possible to resolve intravoxel fiber crossing using mixture model decomposition of the high angular resolution diffusion imaging (HARDI) signal, but mixture modeling requires a model of the underlying diffusion process.Recently, it has been shown that the HARDI signal can be reconstructed model-independently using a spherical tomographic inversion called the Funk-Radon transform, also known as the spherical Radon transform. The resulting imaging method, termed q-ball imaging, can resolve multiple intravoxel fiber orientations and does not require any assumptions on the diffusion process such as Gaussianity or multi-Gaussianity. The present paper reviews the theory of q-ball imaging and describes a simple linear matrix formulation for the q-ball reconstruction based on spherical radial basis function interpolation. Open aspects of the q-ball reconstruction algorithm are discussed.

Integrity signals

Registry

Crossref · 10.1002/mrm.20279

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Q-ball imaging and diffusion spectrum imaging use richer q-space sampling to estimate an orientation distribution function representing the relative prominence of water diffusion along different spatial directions within a voxel.
“Methods such as Q-ball imaging (Tuch, 2004) and diffusion spectrum imaging (DSI) (Wedeen et al., 2005) use richer q-space sampling to estimate an orientation distribution function (ODF), representing the relative prominence of water diffusion along different spatial directions within a voxel.”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Tuch, 2004

The Physics of Liquid Crystals
de Gennes, P. G., Prost, J., & Pelcovits, R. A. (1995) · Physics Today · doi:10.1063/1.2808028 · Cited by 9,790 · see citing works
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239 · see citing works
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Principles of Nuclear Magnetic Resonance Microscopy
Callaghan, P. T. (1991) · doi:10.1093/oso/9780198539445.001.0001 · Cited by 3,625 · see citing works
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038 · see citing works
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664 · see citing works
Fiber tracking: principles and strategies – a technical review
Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019 · see citing works
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571 · see citing works
High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10268 · Cited by 1,548 · see citing works
Self-citation
Principles of Nuclear Magnetic Resonance Microscopy
Pfeifer, H. (1992) · Zeitschrift für Physikalische Chemie · doi:10.1524/zpch.1992.176.part_1.132 · Cited by 1,386 · see citing works
Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo
Reese, T. G., Heid, O., Weisskoff, R. M., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10308 · Cited by 1,229 · see citing works
Texture and Anisotropy
Wenk, H. R. (2002) · Reviews in Mineralogy and Geochemistry · doi:10.2138/gsrmg.51.1.291 · Cited by 940 · see citing works
Water diffusion changes in wallerian degeneration and their dependence on white matter architecture
Pierpaoli, C., Barnett, A., Pajevic, S., Chen, R., Penix, L., Virta, A., & Basser, P. (2001) · NeuroImage · doi:10.1006/nimg.2001.0765 · Cited by 938 · see citing works
XXXI. Investigations in optics, with special reference to the spectroscope
Rayleigh (1879) · The London Edinburgh and Dublin Philosophical Magazine and Journal of Science · doi:10.1080/14786447908639684 · Cited by 766 · see citing works
Diffusion MRI of complex neural architecture.
Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00758-x · Cited by 698 · see citing works
Self-citation
Analysis of partial volume effects in diffusion‐tensor MRI
Alexander, A. L., Hasan, K. M., Lazar, M., Tsuruda, J. S., & Parker, D. L. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1105 · Cited by 695 · see citing works
10. Texture and Anisotropy
Wenk, H.-R. (2002) · De Gruyter eBooks · doi:10.1515/9781501509285-014 · Cited by 596 · see citing works
Positive definite functions on spheres
Schoenberg, I. J. (1942) · Duke Mathematical Journal · doi:10.1215/s0012-7094-42-00908-6 · Cited by 570 · see citing works
Detection and modeling of non‐Gaussian apparent diffusion coefficient profiles in human brain data
Alexander, D. C., Barker, G. J., & Arridge, S. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10209 · Cited by 527 · see citing works
Measurement of translational displacement probabilities by NMR: An indicator of compartmentation
Cory, D. G. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140303 · Cited by 432 · see citing works
Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging
Özarslan, E., & Mareci, T. H. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10596 · Cited by 423 · see citing works
Anisotropy in high angular resolution diffusion-weighted MRI
Frank, L. R. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1125 · Cited by 389 · see citing works
Fiber Crossing in Human Brain Depicted with Diffusion Tensor MR Imaging
Wiegell, M. R., Larsson, H. B. W., & Wedeen, V. J. (2000) · Radiology · doi:10.1148/radiology.217.3.r00nv43897 · Cited by 376 · see citing works
The propagator representation of molecular transport in microporous crystallites
Jörg Kärger, A., & Heink, W. (1983) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(83)90094-x · Cited by 331 · see citing works
Persistent angular structure: new insights from diffusion magnetic resonance imaging data
Jansons, K. M., & Alexander, D. C. (2003) · Inverse Problems · doi:10.1088/0266-5611/19/5/303 · Cited by 305 · see citing works
High b‐value q‐space analyzed diffusion‐weighted MRS and MRI in neuronal tissues – a technical review
Cohen, Y., & Assaf, Y. (2002) · NMR in Biomedicine · doi:10.1002/nbm.778 · Cited by 269 · see citing works
Fiber pathways of cortical areas mediating smooth pursuit eye movements in monkeys
Tusa, R. J., & Ungerleider, L. G. (1988) · Annals of Neurology · doi:10.1002/ana.410230211 · Cited by 234 · see citing works
High b‐value q‐space analyzed diffusion‐weighted MRI: Application to multiple sclerosis
Assaf, Y., Ben‐Bashat, D., Chapman, J., Peled, S., Biton, I. E., Kafri, M., Segev, Y., Hendler, T., Korczyn, A. D., Graif, M., et al. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10040 · Cited by 234 · see citing works
Validation of diffusion spectrum magnetic resonance imaging with manganese-enhanced rat optic tracts and ex vivo phantoms
Lin, C., Wedeen, V. J., Chen, J., Yao, C., & Tseng, W. I. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00154-x · Cited by 225 · see citing works
Rheo-NMR: nuclear magnetic resonance and the rheology of complex fluids
Callaghan, P. T. (1999) · Reports on Progress in Physics · doi:10.1088/0034-4885/62/4/003 · Cited by 219 · see citing works
The effects of microscopic tissue parameters on the diffusion weighted magnetic resonance imaging experiment
Norris, D. G. (2001) · NMR in Biomedicine · doi:10.1002/nbm.682 · Cited by 213 · see citing works
Effects of Finite Gradient-Pulse Widths in Pulsed-Field-Gradient Diffusion Measurements
Mitra, P. P., & Halperin, B. I. (1995) · Journal of Magnetic Resonance Series A · doi:10.1006/jmra.1995.1060 · Cited by 208 · see citing works
Investigations in optics, with special reference to the spectroscope
Rayleigh, L. (1880) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/40.4.254 · Cited by 161 · see citing works
Diffusion MRI of complex tissue structure
Tuch, D. S. (2002) · Cited by 156 · see citing works
Self-citation
Scattered data fitting on the sphere
Fasshauer, G. E., & Schumaker, L. L. (1998) · Cited by 117 · see citing works
q‐Space imaging of the brain
King, M. D., Houseman, J., Roussel, S., van Bruggen, N., Williams, S. R., & Gadian, D. G. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320605 · Cited by 116 · see citing works
�ber eine geometrische Anwendung der Abelschen Integralgleichung
Funk, P. A. (1915) · Mathematische Annalen · doi:10.1007/bf01456824 · Cited by 114 · see citing works
The use of rotation matrices in the mathematical description of molecular orientations in polymers
van Gurp, M. (1995) · Colloid & Polymer Science · doi:10.1007/bf00652253 · Cited by 107 · see citing works
Structural information in neuronal tissue as revealed byq-space diffusion NMR spectroscopy of metabolites in bovine optic nerve
Assaf, Y., & Cohen, Y. (1999) · NMR in Biomedicine · doi:10.1002/(sici)1099-1492(199910)12:6 · Cited by 101 · see citing works
Localizedq‐space imaging of the mouse brain
King, M. D., Houseman, J., Gadian, D. G., & Connelly, A. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380612 · Cited by 67 · see citing works
Propagator representation of anomalous diffusion: The orientational structure factor formalism in NMR
Zavada, T., Südland, N., Kimmich, R., & Nonnenmacher, T. F. (1999) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.60.1292 · Cited by 37 · see citing works
Stability results for scattered‐data interpolation on Euclidean spheres
Narcowich, F. J., Sivakumar, N., & Ward, J. D. (1998) · Advances in Computational Mathematics · doi:10.1023/a:1018996230401 · Cited by 25 · see citing works

Flagged first, then by citations

Sorted by citations

Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471 · see citing works
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,479 · see citing works
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution
Tournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191 · see citing works
Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution
Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635 · see citing works
Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
MRtrix: Diffusion tractography in crossing fiber regions
Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22005 · Cited by 1,370 · see citing works
Dipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371 · see citing works
Whole-brain anatomical networks: does the choice of nodes matter?
Zalesky, A., Fornito, A., Harding, I. H., Cocchi, L., Yücel, M., Pantelis, C., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.027 · Cited by 1,169 · see citing works
Deterministic diffusion fiber tracking improved by quantitative anisotropy
Yeh, F.-C., Verstynen, T. D., Wang, Y., Fernández-Miranda, J. C., & Tseng, W.-Y. I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080713 · Cited by 1,121 · see citing works
Log-Euclidean metrics for fast and simple calculus on diffusion tensors
Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20965 · Cited by 1,113 · see citing works
Generalized ${ q}$-Sampling Imaging
Yeh, F.-C. F., Wedeen, V. J., & Tseng, W. I. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2045126 · Cited by 1,030 · see citing works
Diffusion tensor imaging and beyond
Tournier, J., Mori, S., & Leemans, A. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22924 · Cited by 921 · see citing works
A hitchhiker's guide to diffusion tensor imaging
Soares, J. M., Marques, P., Alves, V., & Sousa, N. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00031 · Cited by 893 · see citing works
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J., Moeller, S., Auerbach, E. J., Glasser, M. F., Hernandez, M., Sapiro, G., Jenkinson, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.057 · Cited by 872 · see citing works
About “axial” and “radial” diffusivities
Wheeler‐Kingshott, C. A. M., & Cercignani, M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21965 · Cited by 885 · see citing works
Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain
Assaf, Y., & Basser, P. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.042 · Cited by 856 · see citing works
Regularized, fast, and robust analytical Q-ball imaging
Descoteaux, M., Angelino, E., Fitzgibbons, S., & Deriche, R. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21277 · Cited by 850 · see citing works
Artifacts and pitfalls in diffusion MRI
Bihan, D. L., Poupon, C., Amadon, A., & Lethimonnier, F. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20683 · Cited by 872 · see citing works
Deterministic and probabilistic tractography based on complex fibre orientation distributions
Descoteaux, M., Deriche, R., Knosche, T. R., & Anwander, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004424 · Cited by 698 · see citing works
Accelerated microstructure imaging via Convex Optimization (AMICO) from diffusion MRI data
Daducci, A., Canales-Rodríguez, E. J., Zhang, H., Dyrby, T. B., Alexander, D. C., & Thiran, J.-P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.026 · Cited by 593 · see citing works
Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data
Tournier, J., Yeh, C., Calamante, F., Cho, K.-H., Connelly, A., & Lin, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.002 · Cited by 591 · see citing works
White matter characterization with diffusional kurtosis imaging
Fieremans, E., Jensen, J. H., & Helpern, J. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.006 · Cited by 561 · see citing works
An Introduction to Diffusion Tensor Image Analysis
O’Donnell, L. J., & Westin, C. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2010.12.004 · Cited by 533 · see citing works
Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study
Sidaros, A., Engberg, A. W., Sidaros, K., Liptrot, M. G., Herning, M., Petersen, P., Paulson, O. B., Jernigan, T. L., & Rostrup, E. (2007) · Brain · doi:10.1093/brain/awm294 · Cited by 526 · see citing works
NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction
Yeh, F.-C. F., & Tseng, W. I. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.021 · Cited by 509 · see citing works
Studying the human brain anatomical network via diffusion-weighted MRI and graph theory
Iturria-Medina, Y., Sotero, R. C., Canales-Rodríguez, E. J., Alemán-Gómez, Y., & Melie-García, L. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.060 · Cited by 506 · see citing works
Diffusion MRI at 25: exploring brain tissue structure and function
Le Bihan, D., & Johansen-Berg, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.006 · Cited by 498 · see citing works
Studying connections in the living human brain with diffusion MRI
Jones, D. K. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.002 · Cited by 480 · see citing works
White matter fiber tractography: why we need to move beyond DTI
Farquharson, S., Tournier, J., Calamante, F., Fabinyi, G., Schneider, M. E., Jackson, G. D., & Connelly, A. (2013) · Journal of neurosurgery · doi:10.3171/2013.2.jns121294 · Cited by 468 · see citing works
Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Dick, A. S., & Tremblay, P. (2012) · Brain · doi:10.1093/brain/aws222 · Cited by 470 · see citing works
Topological correlations of structural and functional networks in patients with traumatic brain injury
Caeyenberghs, K., Leemans, A., Leunissen, I., Michiels, K., & Swinnen, S. P. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00726 · Cited by 462 · see citing works
Characterization of Cerebral White Matter Properties Using Quantitative Magnetic Resonance Imaging Stains
Alexander, A. L., Hurley, S. A., Samsonov, A. A., Adluru, N., Hosseinbor, A. P., Mossahebi, P., Tromp, D., Zakszewski, E., & Field, A. S. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0071 · Cited by 450 · see citing works
Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems
Jbabdi, S., Sotiropoulos, S. N., Savio, A. M., Graña, M., & Behrens, T. E. J. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24204 · Cited by 399 · see citing works
Networks of anatomical covariance
Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429 · see citing works
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom
Fillard, P., Descoteaux, M., Goh, A., Gouttard, S., Jeurissen, B., Malcolm, J., Ramirez-Manzanares, A., Reisert, M., Sakaie, K., Tensaouti, F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.032 · Cited by 418 · see citing works
Three‐dimensional characterization of non‐gaussian water diffusion in humans using diffusion kurtosis imaging
Lu, H., Jensen, J. H., Ramani, A., & Helpern, J. A. (2006) · NMR in Biomedicine · doi:10.1002/nbm.1020 · Cited by 420 · see citing works
Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study
Powell, R., Parker, G. J. M., Alexander, D. C., Symms, M. R., Boulby, P. A., Wheeler‐Kingshott, C. A. M. G., Barker, G. J., Noppeney, U., Koepp, M. J., & Duncan, J. S. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.011 · Cited by 417 · see citing works
Determination of the appropriate b value and number of gradient directions for high‐angular‐resolution diffusion‐weighted imaging
Tournier, J. ‐., Calamante, F., & Connelly, A. (2013) · NMR in Biomedicine · doi:10.1002/nbm.3017 · Cited by 403 · see citing works
Diffusion Kurtosis Imaging: An Emerging Technique for Evaluating the Microstructural Environment of the Brain
Steven, A. J., Zhuo, J., & Melhem, E. R. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.13.11365 · Cited by 404 · see citing works
Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure
Özarslan, E., Koay, C. G., Shepherd, T. M., Komlosh, M. E., Irfanoglu, M. O., Pierpaoli, C. M., & Basser, P. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.016 · Cited by 394 · see citing works
Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)
Özarslan, E., Shepherd, T. M., Vemuri, B. C., Blackband, S. J., & Mareci, T. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.024 · Cited by 388 · see citing works
Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres
Raffelt, D., Smith, R., Ridgway, G., Tournier, J., Vaughan, D., Rose, S., Henderson, R., & Connelly, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.039 · Cited by 379 · see citing works
Diffusion Tensor Imaging of Mild Traumatic Brain Injury
Niogi, S. N., & Mukherjee, P. (2010) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0b013e3181e52c2a · Cited by 380 · see citing works
Reconstruction of the orientation distribution function in single‐ and multiple‐shell q‐ball imaging within constant solid angle
Aganj, I., Lenglet, C., Sapiro, G., Yacoub, E. S., Uǧurbil, K., & Harel, N. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22365 · Cited by 369 · see citing works
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution
Jeurissen, B., Leemans, A., Jones, D. K., Tournier, J., & Sijbers, J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21032 · Cited by 369 · see citing works
Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention
Tuch, D. S., Salat, D. H., Wisco, J. J., Zaleta, A. K., Hevelone, N. D., & Rosas, H. D. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407259102 · Cited by 364 · see citing works
Self-citation
Q‐ball reconstruction of multimodal fiber orientations using the spherical harmonic basis
Hess, C. P., Mukherjee, P., Han, E. T., Xu, D., & Vigneron, D. B. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20931 · Cited by 362 · see citing works
Diffusion tensor imaging of neurodevelopment in children and young adults.
Snook, L., Paulson, L.-A., Roy, D., Phillips, L., & Beaulieu, C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.016 · Cited by 350 · see citing works
Partial volume effect as a hidden covariate in DTI analyses
Vos, S. B., Jones, D. K., Viergever, M. A., & Leemans, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.048 · Cited by 345 · see citing works
Diffusion-Tensor MR Imaging and Tractography: Exploring Brain Microstructure and Connectivity
Nucifora, P. G. P., Verma, R., Lee, S., & Melhem, E. R. (2007) · Radiology · doi:10.1148/radiol.2452060445 · Cited by 342 · see citing works
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory
Iturria‐Medina, Y., Canales-Rodríguez, E. J., Melie‐García, L., Valdes-Hernandez, P. A., Martínez‐Montes, E., Alemán‐Gómez, Y., & Sánchez‐Bornot, J. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.012 · Cited by 341 · see citing works
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain
Westin, C., Knutsson, H. E., Pasternak, O., Szczepankiewicz, F., Özarslan, E., van Westen, D., Mattisson, C., Bogren, M., O’Donnell, L. J., Kubicki, M. R., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.039 · Cited by 329 · see citing works
Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI
Jones, D. K. (2010) · Imaging in Medicine · doi:10.2217/iim.10.21 · Cited by 321 · see citing works
Using Diffusion Imaging to Study Human Connectional Anatomy
Johansen‐Berg, H., & Rushworth, M. F. S. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135735 · Cited by 314 · see citing works
A modified damped Richardson-Lucy algorithm to reduce isotropic background effects in spherical deconvolution
Dell'Acqua, F., Scifo, P., Rizzo, G., Catani, M., Simmons, A., Scotti, G., & Fazio, F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.033 · Cited by 320 · see citing works
Design of multishell sampling schemes with uniform coverage in diffusion MRI
Caruyer, E., Lenglet, C., Sapiro, G., & Rachid Deriche, B. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24736 · Cited by 304 · see citing works
Age‐Related Changes in Prefrontal White Matter Measured by Diffusion Tensor Imaging
SALAT, D. H., TUCH, D. S., HEVELONE, N. D., FISCHL, B., CORKIN, S., ROSAS, H. D., & DALE, A. M. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1340.009 · Cited by 292 · see citing works
Self-citation
The parcellation-based connectome: limitations and extensions
de Reus, M. A., & van den Heuvel, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.053 · Cited by 282 · see citing works
Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions
Herbet, G., & Duffau, H. (2020) · Physiological Reviews · doi:10.1152/physrev.00033.2019 · Cited by 299 · see citing works
Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true‐tract specific index to characterize white matter diffusion
Dell'Acqua, F., Simmons, A., Williams, S., & Catani, M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22080 · Cited by 310 · see citing works
Automated white‐matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy
Hagler, D. J., Ahmadi, M. E., Kuperman, J. M., Holland, D., McDonald, C. R., Halgren, E., & Dale, A. M. (2008) · Human Brain Mapping · doi:10.1002/hbm.20619 · Cited by 286 · see citing works
Building connectomes using diffusion MRI: why, how and but
Sotiropoulos, S. N., & Zalesky, A. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3752 · Cited by 290 · see citing works
Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: a combined fMRI and DTI study
Vernooij, M. W., Smits, M., Wielopolski, P. A., Houston, G. C., Krestin, G. P., & van der Lugt, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.041 · Cited by 316 · see citing works
Structural neuroplasticity in the sensorimotor network of professional female ballet dancers
Hänggi, J., Koeneke, S., Bezzola, L., & Jäncke, L. (2009) · Human Brain Mapping · doi:10.1002/hbm.20928 · Cited by 283 · see citing works
A novel approach to the human connectome: Ultra-high resolution mapping of fiber tracts in the brain
Axer, M., Amunts, K., Gräßel, D., Palm, C., Dammers, J., Axer, H., Pietrzyk, U., & Zilles, K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.075 · Cited by 280 · see citing works
White matter pathology isolates the hippocampal formation in Alzheimer's disease
Salat, D. H., Tuch, D. S., van der Kouwe, A. J. W., Greve, D. N., Pappu, V., Lee, S. Y., Hevelone, N. D., Zaleta, A. K., Growdon, J. H., Corkin, S., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.03.013 · Cited by 279 · see citing works
Self-citation
The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI
Daducci, A., Gerhard, S., Griffa, A., Lemkaddem, A., Cammoun, L., Gigandet, X., Meuli, R. A., Hagmann, P., & Thiran, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048121 · Cited by 266 · see citing works
Probing tissue microstructure with restriction spectrum imaging: Histological and theoretical validation
White, N. S., Leergaard, T. B., D'Arceuil, H. E., Bjaalie, J. G., & Dale, A. M. (2012) · Human Brain Mapping · doi:10.1002/hbm.21454 · Cited by 263 · see citing works
DTIPrep: quality control of diffusion-weighted images
Oğuz, İ., Farzinfar, M., Matsui, J., Budin, F., Liu, Z., Gerig, G., Johnson, H. J., & Styner, M. A. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00004 · Cited by 261 · see citing works
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model
Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Pearlson, G. D., Caprihan, A., Adalı, T., Kiehl, K. A., Liu, J., Yamamoto, J., & Calhoun, V. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.055 · Cited by 260 · see citing works
Advances in white matter imaging: A review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging
Wozniak, J. R., & Lim, K. O. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.003 · Cited by 255 · see citing works
Delineation of early brain development from fetuses to infants with diffusion MRI and beyond
Ouyang, M., Dubois, J., Yu, Q., Mukherjee, P., & Huang, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.017 · Cited by 250 · see citing works
Diffusion-Weighted Imaging in Cancer: Physical Foundations and Applications of Restriction Spectrum Imaging
White, N. S., McDonald, C. R., Niky, F., Kuperman, J., Karow, D. S., Schenker-Ahmed, N. M., Bartsch, H., Rakow‐Penner, R., Holland, D., Shabaik, A. S., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-3534 · Cited by 250 · see citing works
MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
Fan, Q., Witzel, T., Nummenmaa, A. R., Dijk, K. R. A. V., Horn, J. D. V., Drews, M. K., Somerville, L. H., Sheridan, M. A., Santillana, R. M., Snyder, J., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.075 · Cited by 244 · see citing works
Corpus callosal connection mapping using cortical gray matter parcellation and DT‐MRI
Park, H., Kim, J., Lee, S., Seok, J., Chun, J., Kim, D. I., & Lee, J. D. (2006) · Human Brain Mapping · doi:10.1002/hbm.20314 · Cited by 250 · see citing works
A diffusion MRI tractography connectome of the mouse brain and comparison with neuronal tracer data
Calabrese, E., Badea, A., Cofer, G., Qi, Y., & Johnson, G. A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv121 · Cited by 221 · see citing works
White matter tractography for neurosurgical planning: A topography-based review of the current state of the art
Essayed, W. I., Zhang, F., Unadkat, P., Cosgrove, G. R., Golby, A. J., & O’Donnell, L. J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.06.011 · Cited by 249 · see citing works
Filtered multitensor tractography
Malcolm, J. G., Shenton, M. E., & Rathi, Y. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2048121 · Cited by 247 · see citing works
Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI
Cohen‐Adad, J., Mendili, M.-M. E., Lehéricy, S., Pradat, P., Blancho, S., Rossignol, S., & Benali, H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.089 · Cited by 240 · see citing works
Convergent Connectivity and Graded Specialization in the Rostral Human Temporal Lobe as Revealed by Diffusion-Weighted Imaging Probabilistic Tractography
Binney, R. J., Parker, G. J. M., & Ralph, M. A. L. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00263 · Cited by 239 · see citing works
Just pretty pictures? What diffusion tractography can add in clinical neuroscience
Johansen‐Berg, H., & Behrens, T. E. J. (2006) · Current Opinion in Neurology · doi:10.1097/01.wco.0000236618.82086.01 · Cited by 239 · see citing works
Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI
Novikov, D. S., Veraart, J., Jelescu, I., & Fieremans, E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.006 · Cited by 242 · see citing works
Apparent diffusion coefficients from high angular resolution diffusion imaging: Estimation and applications
Descoteaux, M., Angelino, E. L., Fitzgibbons, S., & Rachid Deriche, B. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20948 · Cited by 235 · see citing works
Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain
Dauguet, J., Peled, S., Berezovskii, V., Delzescaux, T., Warfield, S. K., Born, R., & Westin, C.-F. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.067 · Cited by 233 · see citing works
Accuracy of diffusion tensor magnetic resonance imaging tractography assessed using intraoperative subcortical stimulation mapping and magnetic source imaging
Berman, J., Berger, M. S., Chung, S., Nagarajan, S. S., & Henry, R. G. (2007) · Journal of neurosurgery · doi:10.3171/jns-07/09/0488 · Cited by 236 · see citing works
Validation of in vitro probabilistic tractography
Dyrby, T. B., Søgaard, L. V., Parker, G. J., Alexander, D. C., Lind, N. M., Baaré, W. F. C., Hay-Schmidt, A., Eriksen, N., Pakkenberg, B., Paulson, O. B., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.022 · Cited by 236 · see citing works
Tractometer: Towards validation of tractography pipelines
Côté, M.-A., Girard, G., Boré, A., Garyfallidis, E., Houde, J.-C., & Descoteaux, M. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.03.009 · Cited by 228 · see citing works
Ultrahigh-resolution microstructural diffusion tensor imaging reveals perforant path degradation in aged humans in vivo
Yassa, M. A., Muftuler, L. T., & Stark, C. E. L. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002113107 · Cited by 233 · see citing works
Optimal imaging parameters for fiber-orientation estimation in diffusion MRI
Alexander, D. C., & Barker, G. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.04.008 · Cited by 231 · see citing works
Advances in MRI Methodology
Yousaf, T., Dervenoulas, G., & Politis, M. (2018) · International review of neurobiology · doi:10.1016/bs.irn.2018.08.008 · Cited by 230 · see citing works
The white matter query language: a novel approach for describing human white matter anatomy
Wassermann, D., Makris, N., Yogesh Rathi, A., Shenton, M. E., Kikinis, R., Kubicki, M. R., & Westin, C. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1179-4 · Cited by 222 · see citing works
Multidimensional diffusion MRI
Topgaard, D. (2016) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2016.12.007 · Cited by 218 · see citing works
Diffusion Tensor Imaging and Tractography of Human Brain Development
Mukherjee, P., & McKinstry, R. C. (2006) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.11.004 · Cited by 223 · see citing works
Brain Diffusion Abnormalities in Children With Fetal Alcohol Spectrum Disorder
Lebel, C. A., Rasmussen, C., Wyper, K., Walker, L., Andrew, G., Yager, J. Y., & Beaulieu, C. (2008) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00750.x · Cited by 215 · see citing works
A novel tensor distribution model for the diffusion-weighted MR signal
Jian, B., Vemuri, B. C., Özarslan, E., Carney, P. R., & Mareci, T. H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.074 · Cited by 214 · see citing works
Diffusion imaging concepts for clinicians
Neil, J. J. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21087 · Cited by 216 · see citing works
An ex vivo imaging pipeline for producing high‐quality and high‐resolution diffusion‐weighted imaging datasets
Dyrby, T. B., Baaré, W. F. C., Alexander, D. C., Jelsing, J., Garde, E., & Søgaard, L. V. (2010) · Human Brain Mapping · doi:10.1002/hbm.21043 · Cited by 216 · see citing works
The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain
Vos, S. B., Jones, D. K., Jeurissen, B., Viergever, M. A., & Leemans, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.086 · Cited by 214 · see citing works
Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results
Irfanoglu, M. O., Walker, L., Sarlls, J. E., Marenco, S., & Pierpaoli, C. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.054 · Cited by 216 · see citing works
FATCAT: (An Efficient) Functional And Tractographic Connectivity Analysis Toolbox
Taylor, P. A., & Saad, Z. S. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0154 · Cited by 211 · see citing works

Authors: Tuch, D. S.
Affiliations: Massachusetts General Hospital (US)
Corresponding author: Tuch, David S.
Venue: Magnetic Resonance in Medicine
Publisher: Wiley
Published: 2004-11-23
Volume: 52
Issue: 6
Pages: 1358-1372
ISSN: 0740-3194 (ISSN-L)
1522-2594
DOI: 10.1002/mrm.20279
OpenAlex: W1988954604
Cited by: 1,880
References: 43
Citations by year: 2026: 19 · 2025: 39 · 2024: 55 · 2023: 47 · 2022: 57 · 2021: 80 · 2020: 86 · 2019: 81 · 2018: 100 · 2017: 106 · 2016: 97 · 2015: 116 · 2014: 126 · 2013: 148 · 2012: 141
FWCI: 38.55
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Magnetic Resonance in Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: National Institute of Neurological Disorders and Stroke (K25NS046532, NS46532)
National Center for Research Resources (RR 14075, P41RR014075)
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: Q-ball imaging, spherical Radon transform, high angular resolution diffusion imaging, fiber orientation distribution, diffusion MRI reconstruction
MeSH terms: Algorithms, Brain Mapping, Humans, Image Processing, Computer-Assisted, 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

Q-ball imaging

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks