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Q-ball imaging
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.
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“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
Citations
Cites
The Physics of Liquid Crystals
de Gennes, P. G., Prost, J., & Pelcovits, R. A. (1995) · Physics Today · doi:10.1063/1.2808028 · Cited by 9,810
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
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
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 4,628
Principles of Nuclear Magnetic Resonance Microscopy
Callaghan, P. T. (1991) · doi:10.1093/oso/9780198539445.001.0001 · Cited by 3,614
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
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
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
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
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
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- Fasshauer GE, 1998, Mathematical Methods for Curves and Surfaces II, Innovations in Applied Mathematics, 117
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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
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 2,402
Tournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191
Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635
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
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
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
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
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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
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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
Diffusion tensor imaging and beyond
Tournier, J., Mori, S., & Leemans, A. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22924 · Cited by 921
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Soares, J. M., Marques, P., Alves, V., & Sousa, N. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00031 · Cited by 893
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 889
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Wheeler‐Kingshott, C. A. M., & Cercignani, M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21965 · Cited by 885
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Bihan, D. L., Poupon, C., Amadon, A., & Lethimonnier, F. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20683 · Cited by 805
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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
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Jones, D. K. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.002 · Cited by 497
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Tournier, J. ‐., Calamante, F., & Connelly, A. (2013) · NMR in Biomedicine · doi:10.1002/nbm.3017 · Cited by 403
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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
Self-citationQ‐ball reconstruction of multimodal fiber orientations using the spherical harmonic basis
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Herbet, G., & Duffau, H. (2020) · Physiological Reviews · doi:10.1152/physrev.00033.2019 · Cited by 321
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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 266
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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 265
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Yousaf, T., Dervenoulas, G., & Politis, M. (2018) · International review of neurobiology · doi:10.1016/bs.irn.2018.08.008 · Cited by 244
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 235
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Topgaard, D. (2016) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2016.12.007 · Cited by 223
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Metadata
- 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
- 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
- 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 › Chemistry › Spectroscopy › 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
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